{"meta":{"query_hash":"a1ece8b7d158","filters":{"venue":"IEEE Transactions on Vehicular Technology"},"cohort_total":1171,"direct_labels_cover":0,"predictions_cover":1171,"exported":1171,"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/a1ece8b7d158","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Transactions+on+Vehicular+Technology"},"results":[{"id":"W1672417386","doi":"10.1109/tvt.2014.2333665","title":"Energy-Efficient Scheduling in Green Vehicular Infrastructure With Multiple Roadside Units","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Online algorithm; Scheduling (production processes); Computer science; Upper and lower bounds; Approximation algorithm; Greedy algorithm; Mathematical optimization; Schedule; Telecommunications link; Linear programming; Integer programming; Provisioning; Algorithm; Mathematics; Computer network","score_opus":0.004394403171326009,"score_gpt":0.17624718342479867,"score_spread":0.17185278025347267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1672417386","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":[0.10025091,0.0002519591,0.89449316,0.00015600711,0.000042067262,0.00007317996,0.00007315617,0.0007991922,0.0038603845],"genre_scores_gemma":[0.8078237,0.00014283015,0.18996625,0.00005335885,0.000025678883,0.00007032174,0.00015041207,0.000095976626,0.0016714621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946433,0.00016027999,0.000019126037,0.00011030085,0.000100322664,0.00014564686],"domain_scores_gemma":[0.9993444,0.00031234795,0.00010399159,0.00009249265,0.00008236091,0.00006440718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006013583,0.00063334993,0.00069358724,0.0004566401,0.00057213526,0.0008093621,0.001250001,0.00045165818,0.0015335768],"category_scores_gemma":[0.0012783707,0.0002996352,0.00034224452,0.0007239566,0.00045429665,0.00096274895,0.0007152941,0.00051796297,0.00033035487],"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":[0.000121538,0.000061393715,0.00046011008,0.0000362148,0.000017297054,0.000048661565,0.000050112678,0.9448265,0.003341145,0.0072807246,0.0009030043,0.04285332],"study_design_scores_gemma":[0.0000053395033,0.000014553764,0.00007525754,0.0000010414669,0.0000017430348,0.000008282305,0.00001215303,0.9967734,0.0006837201,0.002074221,0.00034832038,0.0000018726375],"about_ca_topic_score_codex":0.005575524,"about_ca_topic_score_gemma":0.007506551,"teacher_disagreement_score":0.005575524,"about_ca_system_score_codex":0.0013680233,"about_ca_system_score_gemma":0.0014649377,"threshold_uncertainty_score":0.011086166},"labels":[],"label_agreement":null},{"id":"W1899414988","doi":"10.1109/tvt.2017.2691470","title":"Optimal Resource Allocation in Multicast Device-to-Device Communications Underlaying LTE Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multicast; Greedy algorithm; Resource allocation; Telecommunications link; Throughput; Heuristic; Integer programming; Channel allocation schemes; Optimization problem","score_opus":0.021980354346515508,"score_gpt":0.2726848598828297,"score_spread":0.2507045055363142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1899414988","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":[0.033478525,0.0011725866,0.96124,0.00019801046,0.00004016356,0.00004258992,0.00006150655,0.00013812301,0.0036284924],"genre_scores_gemma":[0.87792844,0.00075494975,0.118930966,0.0001074887,0.000055380908,0.0001289579,0.000068944086,0.000043784006,0.0019811646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946064,0.0002499236,0.000012618607,0.000061735846,0.00009317292,0.00012191716],"domain_scores_gemma":[0.9997211,0.00017809957,0.00003528859,0.0000168617,0.000029776738,0.000018846787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069811527,0.00093741325,0.000986691,0.0004204347,0.00052673655,0.0008833677,0.0009927105,0.00086313067,0.0012360293],"category_scores_gemma":[0.0012700701,0.00037393818,0.0003799807,0.0006484993,0.00060130615,0.0008467662,0.00090969447,0.00048214538,0.00017464989],"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":[0.00004225762,0.000023256669,0.00018039694,0.000043757558,0.00001536023,0.00007039327,0.000034019125,0.97198796,0.0013703023,0.011654314,0.0008734502,0.013704526],"study_design_scores_gemma":[0.000004591446,0.000015859028,0.000042577863,0.0000030686804,0.000003090696,0.00001349465,0.000015722217,0.99628913,0.00020741428,0.0030352138,0.00036703752,0.0000028853135],"about_ca_topic_score_codex":0.0045682145,"about_ca_topic_score_gemma":0.004161293,"teacher_disagreement_score":0.0045682145,"about_ca_system_score_codex":0.0011899219,"about_ca_system_score_gemma":0.0008924336,"threshold_uncertainty_score":0.009083271},"labels":[],"label_agreement":null},{"id":"W1964227892","doi":"10.1109/tvt.2013.2259643","title":"Space–Time Trellis Codes for Two-Way Relay MIMO Channels With Single-Antenna Relay Nodes","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"McGill University","funders":"","keywords":"Pairwise error probability; Relay; Relay channel; Trellis (graph); Upper and lower bounds; Space–time trellis code; MIMO; Topology (electrical circuits); Channel state information; Computer science; Space–time code; Diversity gain; Algorithm; Channel (broadcasting); Decoding methods; Mathematics; Telecommunications; Wireless; Block code; Power (physics); Concatenated error correction code; Physics; Combinatorics","score_opus":0.019852029807414132,"score_gpt":0.23802018017514423,"score_spread":0.2181681503677301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964227892","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":[0.03330029,0.0015580964,0.95845425,0.00026857908,0.00007763782,0.00009619245,0.0002064171,0.00016988559,0.0058686095],"genre_scores_gemma":[0.8185593,0.002052349,0.17435837,0.0001694028,0.00013306194,0.00025965722,0.00031787416,0.00006505033,0.0040848777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852437,0.00045066475,0.0000832629,0.00020210794,0.0005521333,0.00018765872],"domain_scores_gemma":[0.99546,0.0023129776,0.0007841577,0.00038764352,0.00096828066,0.00008692529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010601055,0.00095967425,0.00057880353,0.0005925151,0.00042550737,0.0011734309,0.0007019065,0.00094527635,0.0016232714],"category_scores_gemma":[0.005353014,0.00034012456,0.00046649,0.001079303,0.0009205337,0.0010271505,0.0005962046,0.0008763094,0.00057164335],"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":[0.00023508101,0.000050287803,0.0008991368,0.00040450817,0.00008802189,0.00034472073,0.0002505242,0.77455735,0.032885905,0.1288483,0.0014992482,0.05993694],"study_design_scores_gemma":[0.000021738764,0.00016757078,0.00018881484,0.00004929434,0.000019768018,0.00024150177,0.000035914458,0.96662515,0.013100007,0.016802143,0.002712913,0.00003522706],"about_ca_topic_score_codex":0.0023168141,"about_ca_topic_score_gemma":0.0028639052,"teacher_disagreement_score":0.0023168141,"about_ca_system_score_codex":0.0013240308,"about_ca_system_score_gemma":0.0015777481,"threshold_uncertainty_score":0.00960654},"labels":[],"label_agreement":null},{"id":"W1965460570","doi":"10.1109/tvt.2013.2260874","title":"Analysis of Message Dissemination in Vehicular Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","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 British Columbia","funders":"","keywords":"Computer science; Reliability (semiconductor); Exploit; Vehicular ad hoc network; Computer network; Intelligent transportation system; Metric (unit); Dissemination; Channel (broadcasting); Scheme (mathematics); Performance metric; Fading; Vehicular communication systems; Distributed computing; Wireless ad hoc network; Wireless; Computer security; Telecommunications; Engineering","score_opus":0.0037446577827065187,"score_gpt":0.20539596145685685,"score_spread":0.20165130367415032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965460570","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":[0.07007419,0.002548978,0.9206331,0.0007483172,0.00006203141,0.00009071744,0.00014596683,0.00017833951,0.0055183456],"genre_scores_gemma":[0.9734368,0.0024106347,0.01918308,0.00008606054,0.00007198902,0.00013412583,0.00013946362,0.00005152321,0.0044864574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925,0.0002336475,0.000038912516,0.000087896,0.00028050216,0.00010893611],"domain_scores_gemma":[0.9978054,0.001494301,0.00028709712,0.00006224853,0.0003041882,0.0000466988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011894663,0.00061074714,0.0005616348,0.0013995084,0.00037336844,0.0008395791,0.00080067734,0.0008441081,0.00094132667],"category_scores_gemma":[0.0067913565,0.00030665708,0.00042105358,0.00089851744,0.0007076926,0.0013322363,0.00067419535,0.0004919249,0.00016695147],"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":[0.000024226712,0.000008066654,0.0006477036,0.00007635537,0.000021834701,0.00008151267,0.00008310206,0.942838,0.0022620696,0.046814885,0.00037859494,0.006763673],"study_design_scores_gemma":[0.00000250355,0.000014657206,0.0001928147,0.000007177502,0.0000051379457,0.000020390913,0.000019499425,0.9892452,0.00030599078,0.009508914,0.00067299453,0.0000047808367],"about_ca_topic_score_codex":0.005643142,"about_ca_topic_score_gemma":0.0016774078,"teacher_disagreement_score":0.005643142,"about_ca_system_score_codex":0.0016359478,"about_ca_system_score_gemma":0.0007782262,"threshold_uncertainty_score":0.011869729},"labels":[],"label_agreement":null},{"id":"W1967444304","doi":"10.1109/tvt.2014.2363172","title":"Rate–Interference Tradeoff in OFDM-Based Cognitive Radio Systems","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Orthogonal frequency-division multiplexing; Cognitive radio; Interference (communication); Channel state information; Weighting; Transmission (telecommunications); Computer science; Transmitter; Mathematical optimization; Frequency-division multiplexing; Channel (broadcasting); Optimization problem; Algorithm; Electronic engineering; Mathematics; Wireless; Telecommunications; Engineering","score_opus":0.010876223749317484,"score_gpt":0.22158027989825071,"score_spread":0.21070405614893323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967444304","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":[0.07903373,0.0019179162,0.91216564,0.00022126453,0.000047553654,0.000040978215,0.00003338961,0.00012191557,0.0064175827],"genre_scores_gemma":[0.9535518,0.0008194327,0.04408704,0.00007921219,0.000054868684,0.000061094324,0.00001896258,0.000022976277,0.0013046594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989201,0.00043160358,0.000040116567,0.00013637244,0.0002962478,0.00017556034],"domain_scores_gemma":[0.9976165,0.001865281,0.00019547007,0.00009038319,0.00018876283,0.00004354225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00179068,0.0010705986,0.00083773426,0.00048115553,0.0004184379,0.0013640351,0.001013612,0.00097119436,0.00091706566],"category_scores_gemma":[0.006168463,0.00031559422,0.00034298335,0.0008063341,0.000791369,0.0013299608,0.0008491061,0.00068301364,0.00016450044],"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":[0.00006740856,0.00005342448,0.000641868,0.00010232317,0.000053906842,0.00015567344,0.00009119012,0.9457628,0.0037504742,0.015367782,0.0002896665,0.03366336],"study_design_scores_gemma":[0.000008032157,0.00004371835,0.00019200446,0.00000703619,0.000015015234,0.0000710126,0.000021753605,0.99320835,0.0010134134,0.0051689926,0.00024155786,0.000009013802],"about_ca_topic_score_codex":0.0015763713,"about_ca_topic_score_gemma":0.0011693297,"teacher_disagreement_score":0.00179068,"about_ca_system_score_codex":0.0009751869,"about_ca_system_score_gemma":0.0006539913,"threshold_uncertainty_score":0.009470165},"labels":[],"label_agreement":null},{"id":"W1967497290","doi":"10.1109/tvt.2014.2367007","title":"Uplink Scheduler for SC-FDMA-Based Heterogeneous Traffic Networks With QoS Assurance and Guaranteed Resource Utilization","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","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":"University of British Columbia","funders":"","keywords":"Telecommunications link; Quality of service; Computer science; Computer network; Frequency-division multiple access; Scheduling (production processes); Cellular network; Cellular traffic; Distributed computing; Orthogonal frequency-division multiplexing; Engineering","score_opus":0.007632898211547747,"score_gpt":0.20304276798494428,"score_spread":0.19540986977339653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967497290","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":[0.15577209,0.0007434324,0.8349845,0.0002145629,0.00021685271,0.00019058814,0.00012683684,0.0011149136,0.006636227],"genre_scores_gemma":[0.9157388,0.0001707044,0.08183823,0.000059247068,0.00006465246,0.00008607739,0.00011248405,0.000040741277,0.0018890658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997074,0.00007371196,0.000018534905,0.000038380058,0.00009481923,0.00006703119],"domain_scores_gemma":[0.9995517,0.00014191812,0.000059378403,0.00004603015,0.00015089165,0.000050087678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070239994,0.0002953156,0.0004746592,0.0003157405,0.00054919644,0.0007112646,0.00077642134,0.0003041142,0.0013757934],"category_scores_gemma":[0.0011816021,0.00016300227,0.0002148273,0.00037561776,0.0002747712,0.00034842285,0.000477536,0.00040372566,0.00033940354],"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":[0.0005730874,0.00021210304,0.0024851419,0.0001547973,0.000058305483,0.0004449864,0.00021762382,0.8329779,0.037477855,0.030672062,0.0060836594,0.08864246],"study_design_scores_gemma":[0.0000114137865,0.000018015346,0.0000723784,0.0000017704162,0.0000036075178,0.000010412948,0.000008694304,0.99776256,0.0011543639,0.00048515858,0.00046892866,0.000002652812],"about_ca_topic_score_codex":0.005659806,"about_ca_topic_score_gemma":0.0066926703,"teacher_disagreement_score":0.005659806,"about_ca_system_score_codex":0.0011006916,"about_ca_system_score_gemma":0.0021605007,"threshold_uncertainty_score":0.011253774},"labels":[],"label_agreement":null},{"id":"W1968425996","doi":"10.1109/tvt.2014.2367133","title":"Bidirectional Cooperative Relay Strategies for Transmitted Reference Pulse Cluster UWB Systems","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Ultra-Wideband Communications Technology","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":"University of Victoria","funders":"","keywords":"Relay; Bit error rate; Relay channel; Electronic engineering; Channel (broadcasting); Computer science; Transmission (telecommunications); Signal-to-noise ratio (imaging); Selection (genetic algorithm); Computer network; Telecommunications; Engineering","score_opus":0.011984408995409578,"score_gpt":0.2276308046755378,"score_spread":0.21564639568012822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968425996","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":[0.089488916,0.0007787053,0.9035058,0.00010092376,0.000023084136,0.00006938022,0.000027647731,0.00023284156,0.0057725892],"genre_scores_gemma":[0.957344,0.0002776453,0.04077985,0.000043422373,0.000008405721,0.00004959856,0.000023767981,0.000013340515,0.0014598739],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995945,0.00013316673,0.00002304801,0.00006740862,0.00012098818,0.000060971488],"domain_scores_gemma":[0.9993174,0.0002446123,0.00011554623,0.00009519568,0.00020030643,0.000026931884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067240535,0.0006250068,0.00044589714,0.00038219374,0.00039712223,0.0006896753,0.0010934086,0.000567376,0.00097464764],"category_scores_gemma":[0.001356075,0.0001552082,0.00030079868,0.0003869944,0.00043041984,0.0006788345,0.00067779084,0.0003984918,0.0002807035],"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":[0.0006920545,0.00014698929,0.0022739372,0.00046377344,0.00023226971,0.0009785638,0.0010834963,0.50568897,0.11605539,0.0822841,0.0020186845,0.28808177],"study_design_scores_gemma":[0.000031710213,0.00048756844,0.00053426286,0.000027766178,0.000098559045,0.0005756242,0.00017638093,0.95487463,0.03149604,0.008804554,0.0028446752,0.00004810999],"about_ca_topic_score_codex":0.0009625463,"about_ca_topic_score_gemma":0.0011751301,"teacher_disagreement_score":0.0010934086,"about_ca_system_score_codex":0.0004354807,"about_ca_system_score_gemma":0.00039929413,"threshold_uncertainty_score":0.003556013},"labels":[],"label_agreement":null},{"id":"W1968491738","doi":"10.1109/tvt.2014.2309120","title":"Distributed Learning-Based Spectrum Allocation with Noisy Observations in Cognitive Radio Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","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":"McGill University; University of Toronto","funders":"","keywords":"Cognitive radio; Convergence (economics); Nash equilibrium; Computer science; Potential game; Mathematical optimization; Fictitious play; Best response; Frequency allocation; Game theory; Computer network; Mathematics; Wireless; Telecommunications","score_opus":0.010335555221031134,"score_gpt":0.2128173301156281,"score_spread":0.20248177489459696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968491738","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":[0.056637544,0.0006801209,0.94049114,0.00032262466,0.00004058518,0.000031869524,0.000018708524,0.00007712577,0.001700273],"genre_scores_gemma":[0.98281753,0.0003283956,0.015701206,0.000046857618,0.00004958576,0.000052473442,0.000013133581,0.000012458638,0.0009784667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986021,0.0006785909,0.000047564612,0.00024276685,0.00025302835,0.00017585343],"domain_scores_gemma":[0.9940936,0.0048485873,0.0005206844,0.00015838446,0.00027514735,0.00010358212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027380434,0.0008099179,0.0012708324,0.0004573887,0.00048809737,0.0012438678,0.0012952029,0.0011567004,0.00035994314],"category_scores_gemma":[0.010236169,0.00072791724,0.0004915623,0.0006082582,0.0025465158,0.0017219007,0.0011085448,0.0011993684,0.00007585245],"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":[0.00003697224,0.000019508103,0.00027306238,0.000022883449,0.000020375723,0.000037727747,0.000036233974,0.98648536,0.00030798497,0.008716867,0.00006473737,0.0039782906],"study_design_scores_gemma":[0.000005336056,0.0000132831965,0.000055242297,0.0000018799662,0.0000031992176,0.0000050138215,0.0000041650924,0.99538815,0.00009267945,0.0043841805,0.00004348337,0.0000033407314],"about_ca_topic_score_codex":0.005307352,"about_ca_topic_score_gemma":0.002670339,"teacher_disagreement_score":0.005307352,"about_ca_system_score_codex":0.0015257552,"about_ca_system_score_gemma":0.0010504128,"threshold_uncertainty_score":0.014480352},"labels":[],"label_agreement":null},{"id":"W1969412801","doi":"10.1109/tvt.2015.2411739","title":"Dynamic Operations of Cloud Radio Access Networks (C-RAN) for Mobile Cloud Computing Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":76,"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","keywords":"Cloud computing; Radio access network; C-RAN; Computer science; Computer network; Distributed computing; Optimization problem; Wireless; Channel state information; User equipment; Mobile cloud computing; Wireless network; Mobile computing; Telecommunications; Base station; Algorithm; Mobile station","score_opus":0.012222858453729977,"score_gpt":0.2551064596929523,"score_spread":0.24288360123922234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969412801","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":[0.052141372,0.00096148875,0.9371444,0.0005119494,0.00010615975,0.00009625664,0.000051847186,0.000164249,0.008822335],"genre_scores_gemma":[0.9456119,0.00051212264,0.052717976,0.00009329937,0.000051498235,0.000044469718,0.000031026073,0.00002401287,0.0009137513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991743,0.00027369213,0.000029222654,0.00014526561,0.00017417864,0.0002033917],"domain_scores_gemma":[0.9993318,0.0003070708,0.00010450517,0.000075723685,0.000120622666,0.000060283815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009597931,0.00079218805,0.00071726105,0.00025817324,0.0009798299,0.0015747697,0.001148988,0.0007077907,0.0011416444],"category_scores_gemma":[0.0016650511,0.00029393108,0.00049255474,0.0006052854,0.0007246611,0.0016134467,0.00083313545,0.0009656965,0.00016539646],"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":[0.00007432208,0.000051654904,0.0008555566,0.000063516745,0.000027555641,0.00018513158,0.000052254927,0.91611844,0.0059796753,0.05147407,0.0008609217,0.024256807],"study_design_scores_gemma":[0.0000021476778,0.000013537261,0.00008196091,0.0000027437434,0.0000044638764,0.000022839085,0.000013334224,0.9957873,0.000451793,0.0031820743,0.00043391628,0.000003832464],"about_ca_topic_score_codex":0.00785819,"about_ca_topic_score_gemma":0.0072394325,"teacher_disagreement_score":0.00785819,"about_ca_system_score_codex":0.0014891061,"about_ca_system_score_gemma":0.002177069,"threshold_uncertainty_score":0.015624881},"labels":[],"label_agreement":null},{"id":"W1970149668","doi":"10.1109/tvt.2012.2210060","title":"Asymptotic SEP Analysis of Two-Way Relaying Networks With Distributed Alamouti Codes","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Quadrature amplitude modulation; Diversity gain; Signal-to-noise ratio (imaging); Mathematics; Maximal-ratio combining; Coding gain; Algorithm; QAM; Topology (electrical circuits); Applied mathematics; Electronic engineering; Computer science; Statistics; Bit error rate; Combinatorics; Decoding methods; Engineering; Fading","score_opus":0.016566799755300725,"score_gpt":0.25655534420783865,"score_spread":0.23998854445253792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970149668","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":[0.07213096,0.0012652845,0.91188025,0.00040137823,0.000038633825,0.000033752018,0.00014766844,0.00035349908,0.013748713],"genre_scores_gemma":[0.9540682,0.0013946854,0.040375415,0.000101140526,0.00008391307,0.00010203338,0.00020532774,0.0001030679,0.0035662479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883133,0.00045230062,0.000039454517,0.000087980756,0.0004593475,0.00012961349],"domain_scores_gemma":[0.98826617,0.00882055,0.0006789102,0.00055000116,0.0015725822,0.00011182576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020433918,0.0010799159,0.00072423543,0.0010559759,0.00044511043,0.001187651,0.00096534,0.00092046306,0.0017711789],"category_scores_gemma":[0.014654432,0.00045610324,0.0005310273,0.00092519494,0.0016376084,0.0020087154,0.0011885376,0.0009711994,0.0004991586],"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":[0.00011817869,0.0000340402,0.0012334079,0.000120558994,0.00003927119,0.0002802094,0.00015518008,0.86227703,0.0035661953,0.11575314,0.0009915082,0.015431235],"study_design_scores_gemma":[0.0000043929995,0.000021922348,0.00020897046,0.000012991361,0.000007958298,0.00012532268,0.000022753193,0.9815626,0.00079142646,0.017007124,0.00022669364,0.000007850301],"about_ca_topic_score_codex":0.0015264977,"about_ca_topic_score_gemma":0.0011236934,"teacher_disagreement_score":0.0020433918,"about_ca_system_score_codex":0.0016885519,"about_ca_system_score_gemma":0.00095162034,"threshold_uncertainty_score":0.012251377},"labels":[],"label_agreement":null},{"id":"W1970389461","doi":"10.1109/tvt.2014.2319456","title":"Enhancing Timer-Based Power Management to Support Delay-Intolerant Uplink Traffic in Infrastructure IEEE 802.11 WLANs","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Timer; Telecommunications link; Computer network; Computer science; Power management; IEEE 802.11; Frame (networking); Transmitter power output; Real-time computing; Idle; Transceiver; Wireless; Throughput; Power (physics); Engineering; Transmitter; Telecommunications; Operating system","score_opus":0.005926082083317668,"score_gpt":0.2317427849334695,"score_spread":0.22581670285015185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970389461","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":[0.06925245,0.00045854476,0.927957,0.000085367625,0.000048061305,0.00002806593,0.000027877519,0.00037376338,0.0017689418],"genre_scores_gemma":[0.9819697,0.00023900498,0.01717076,0.000032174627,0.000026419371,0.000021531421,0.00002198616,0.000017617398,0.00050074095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995974,0.000083717074,0.000022216309,0.00008411626,0.0001235407,0.00008908288],"domain_scores_gemma":[0.9995034,0.00019957004,0.00011063206,0.00005637212,0.00009749568,0.000032545468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005852423,0.00050186005,0.0004003776,0.00030490762,0.00028424058,0.00061276864,0.0010242981,0.00030564834,0.00046762303],"category_scores_gemma":[0.0017689511,0.00017841124,0.00030971394,0.00041653975,0.0003235392,0.0006700899,0.0005036895,0.0004969846,0.00010118434],"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":[0.00012075561,0.00008769429,0.0023470167,0.00009817875,0.000036917805,0.00017697779,0.0001029848,0.87816995,0.03472249,0.0149349095,0.0008463591,0.06835579],"study_design_scores_gemma":[0.0000037933864,0.00004672163,0.00017556064,0.0000023226241,0.0000071390145,0.00003421796,0.0000075429775,0.9973654,0.0013619716,0.0006842828,0.00030688563,0.0000042351994],"about_ca_topic_score_codex":0.0024156854,"about_ca_topic_score_gemma":0.00238438,"teacher_disagreement_score":0.0024156854,"about_ca_system_score_codex":0.0005642548,"about_ca_system_score_gemma":0.00081460335,"threshold_uncertainty_score":0.0048031807},"labels":[],"label_agreement":null},{"id":"W1970775648","doi":"10.1109/tvt.2014.2320830","title":"MAC-layer concurrent beamforming protocol for indoor millimeter-wave networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":65,"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 Waterloo","funders":"","keywords":"Beamforming; Codebook; Computer science; Physical layer; Throughput; Transmission (telecommunications); Interference (communication); Computer network; Electronic engineering; Wireless; Engineering; Telecommunications; Algorithm; Channel (broadcasting)","score_opus":0.0317521893615052,"score_gpt":0.2623299798007305,"score_spread":0.23057779043922527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970775648","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053084586,0.00053797057,0.9912566,0.00013522663,0.00006781529,0.00006574838,0.000024816673,0.00016811692,0.0024352276],"genre_scores_gemma":[0.7481857,0.0013132469,0.2445923,0.00031987356,0.00015461171,0.00055270246,0.00014294939,0.00005906636,0.004679535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992353,0.00018556132,0.00004713988,0.00010723602,0.00032212972,0.00010271543],"domain_scores_gemma":[0.9984327,0.00071786565,0.00018015405,0.00017444055,0.0004318167,0.0000629653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008990754,0.00072848797,0.00051014725,0.00040573426,0.0006986767,0.00091209647,0.0011547067,0.00046522394,0.0016230899],"category_scores_gemma":[0.0025904384,0.0002838495,0.00032875032,0.0008476389,0.00054345827,0.0014474702,0.0014019916,0.0009992764,0.0003636993],"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":[0.00030517997,0.00021280923,0.0012594968,0.0006178522,0.00016991803,0.0006393938,0.0004363827,0.42876285,0.0840909,0.17288211,0.007018507,0.3036047],"study_design_scores_gemma":[0.000023258499,0.0001344702,0.00017219107,0.000020033547,0.000041087707,0.00021475024,0.00005797015,0.96935946,0.010597029,0.013682196,0.0056706797,0.000026736945],"about_ca_topic_score_codex":0.001547038,"about_ca_topic_score_gemma":0.0019272986,"teacher_disagreement_score":0.0016230899,"about_ca_system_score_codex":0.0006383449,"about_ca_system_score_gemma":0.001234525,"threshold_uncertainty_score":0.0054298043},"labels":[],"label_agreement":null},{"id":"W1971346204","doi":"10.1109/tvt.2011.2178622","title":"Efficient Scheduling Algorithms for Multiantenna CDMA Systems","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":24,"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":"Computer science; Scheduling (production processes); Code division multiple access; Electronic engineering; Cellular radio; Algorithm; Computer network; Engineering; Base station; Mathematical optimization; Mathematics","score_opus":0.01926873368938945,"score_gpt":0.22127545634838525,"score_spread":0.2020067226589958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971346204","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":[0.011322961,0.0005859344,0.9827958,0.0002653781,0.00006844197,0.00008859245,0.00007850474,0.00039833869,0.0043960526],"genre_scores_gemma":[0.43692648,0.0010938795,0.5555476,0.00022043248,0.00012631746,0.00041853776,0.0003092683,0.00018522824,0.005172251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916995,0.00034716693,0.000032335192,0.00011062849,0.00021723993,0.00012280483],"domain_scores_gemma":[0.9990508,0.0005789596,0.00010717369,0.000086930566,0.00013640747,0.000039720162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011784335,0.0009748594,0.00084201916,0.0008594319,0.00079550286,0.0013224152,0.0010024164,0.00086421496,0.0030053086],"category_scores_gemma":[0.0027774072,0.00044115388,0.0003781482,0.0015233677,0.0007301773,0.0010731039,0.0009719595,0.0007605782,0.00085530104],"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":[0.00005866494,0.00003699602,0.00013185875,0.00005951654,0.000013703995,0.000020173731,0.00005819287,0.90137774,0.0011273595,0.03720229,0.0018881634,0.05802533],"study_design_scores_gemma":[0.000020974468,0.000011348466,0.000029777857,0.000004465944,0.0000023601115,0.000005811128,0.0000121171615,0.9817914,0.00031199117,0.017035048,0.00077143253,0.000003427984],"about_ca_topic_score_codex":0.004997483,"about_ca_topic_score_gemma":0.005752411,"teacher_disagreement_score":0.004997483,"about_ca_system_score_codex":0.0017453175,"about_ca_system_score_gemma":0.0024301405,"threshold_uncertainty_score":0.012663186},"labels":[],"label_agreement":null},{"id":"W1971499209","doi":"10.1109/tvt.2011.2174465","title":"A Secure Cooperative Approach for Nonline-of-Sight Location Verification in VANET","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":114,"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":"Non-line-of-sight propagation; Vehicular ad hoc network; Computer science; Reliability (semiconductor); Computer network; Node (physics); Wireless ad hoc network; Wireless; Interference (communication); Event (particle physics); Cellular network; Telecommunications; Engineering; Channel (broadcasting)","score_opus":0.015562218613861487,"score_gpt":0.20971031804262635,"score_spread":0.19414809942876488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971499209","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":[0.019080095,0.00019090799,0.9783481,0.00024046835,0.00006323493,0.00014211494,0.000017232573,0.00024891048,0.0016689781],"genre_scores_gemma":[0.8158096,0.00025751904,0.18008173,0.00015223344,0.000050838276,0.000269705,0.00007076839,0.000030459203,0.003277105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99749976,0.00070803735,0.00020220384,0.00042369336,0.0008969811,0.00026944513],"domain_scores_gemma":[0.9969854,0.00092695386,0.000361872,0.0007862661,0.00078941724,0.00015007169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025320807,0.0005346587,0.00076206296,0.0009408689,0.0014474909,0.0011556972,0.0022830311,0.0014899316,0.0009241944],"category_scores_gemma":[0.0049187285,0.00038639497,0.0008554347,0.00064481725,0.001693933,0.0030877243,0.003967771,0.0011670942,0.00034275142],"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":[0.00083410507,0.00031744994,0.0027270154,0.00035316698,0.0002470236,0.002254655,0.0022538088,0.4279545,0.06665447,0.2716796,0.0037611912,0.22096302],"study_design_scores_gemma":[0.000054682772,0.00028425013,0.0001702594,0.000021214713,0.000057016874,0.00037962542,0.00019817172,0.96439093,0.011207942,0.0190631,0.0041314294,0.00004128774],"about_ca_topic_score_codex":0.0028488568,"about_ca_topic_score_gemma":0.0022348443,"teacher_disagreement_score":0.0028488568,"about_ca_system_score_codex":0.00092463574,"about_ca_system_score_gemma":0.0018730769,"threshold_uncertainty_score":0.0133910775},"labels":[],"label_agreement":null},{"id":"W1972111226","doi":"10.1109/tvt.2014.2380775","title":"Full-Duplex MIMO Precoding for Sum-Rate Maximization With Sequential Convex Programming","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Maximization; Convex optimization; Mathematical optimization; Rate of convergence; MIMO; Mathematics; Algorithm; Convex function; Convergence (economics); Regular polygon; Computer science; Telecommunications; Beamforming","score_opus":0.012477135036052757,"score_gpt":0.21879783761851926,"score_spread":0.20632070258246651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972111226","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":[0.0039677205,0.00007833082,0.9946343,0.000057871766,0.0000106345715,0.0000140462325,0.0000139936865,0.000050889965,0.0011723628],"genre_scores_gemma":[0.4226539,0.00075887656,0.57088816,0.0001790433,0.000077121826,0.00028537842,0.00015334362,0.000109177185,0.004895066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994357,0.00022943661,0.000019222149,0.00007017972,0.00020023691,0.000045229146],"domain_scores_gemma":[0.9990074,0.00068765774,0.000058394744,0.000061540115,0.00016142381,0.00002375567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081951224,0.0007852213,0.0007693047,0.00028121113,0.00027010986,0.0008069851,0.0006116282,0.00050180673,0.001565589],"category_scores_gemma":[0.0023462565,0.00038949857,0.00050666346,0.0007452495,0.00058709877,0.0008301922,0.0006414127,0.0009584812,0.00039790833],"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":[0.000048464444,0.000043455428,0.00022176256,0.000090567344,0.00002946101,0.000051972303,0.000052011324,0.9168214,0.003679627,0.025337247,0.0013067904,0.052317265],"study_design_scores_gemma":[0.000002922904,0.000014968373,0.000019766847,0.000002580022,0.0000017277449,0.000010535211,0.000004145237,0.995891,0.00076251425,0.0029807938,0.00030735656,0.000001718095],"about_ca_topic_score_codex":0.0018274984,"about_ca_topic_score_gemma":0.0021622581,"teacher_disagreement_score":0.0018274984,"about_ca_system_score_codex":0.00064639305,"about_ca_system_score_gemma":0.0013765608,"threshold_uncertainty_score":0.0052374005},"labels":[],"label_agreement":null},{"id":"W1973910654","doi":"10.1109/tvt.2013.2259856","title":"Maximum-Likelihood Detector for Differential Amplify-and-Forward Cooperative Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Queen's University","funders":"","keywords":"Detector; Algorithm; Rayleigh fading; Bit error rate; Keying; Phase-shift keying; Benchmark (surveying); Signal-to-noise ratio (imaging); Computer science; Mathematics; Fading; Telecommunications; Decoding methods","score_opus":0.014242399525304556,"score_gpt":0.2407349835400545,"score_spread":0.22649258401474992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973910654","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":[0.0029588016,0.00016352361,0.99600875,0.000060530983,0.000008417864,0.000015799384,0.000025803458,0.00012917291,0.0006292549],"genre_scores_gemma":[0.29884535,0.0006172219,0.69694954,0.00014101715,0.000056997655,0.00020485712,0.00020547523,0.000048210666,0.0029313285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870026,0.0005548416,0.00005621466,0.00012899857,0.00049233227,0.0000673586],"domain_scores_gemma":[0.9982248,0.0012211796,0.00012897872,0.00012376254,0.0002746033,0.00002666901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001973949,0.0005016094,0.0009908132,0.00052938005,0.00038537523,0.0011102887,0.0008715114,0.0009250768,0.0012232711],"category_scores_gemma":[0.0067882473,0.00040979713,0.00033229718,0.00073300645,0.00066310645,0.0015842883,0.0011343441,0.0008490159,0.0005546366],"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":[0.00015204874,0.000037019585,0.000716773,0.00015403247,0.000036235175,0.00012851741,0.00014501896,0.72908306,0.009862456,0.11559049,0.0020589456,0.14203541],"study_design_scores_gemma":[0.00001009912,0.000016824832,0.00006544639,0.000007693747,0.0000031256657,0.00004754701,0.0000069503103,0.9828792,0.0016829413,0.01439588,0.0008740273,0.000010272735],"about_ca_topic_score_codex":0.0008094951,"about_ca_topic_score_gemma":0.0011696657,"teacher_disagreement_score":0.001973949,"about_ca_system_score_codex":0.0010941369,"about_ca_system_score_gemma":0.0012022204,"threshold_uncertainty_score":0.010439336},"labels":[],"label_agreement":null},{"id":"W1974090300","doi":"10.1109/tvt.2013.2258361","title":"Distributed Multichannel and Mobility-Aware Cluster-Based MAC Protocol for Vehicular Ad Hoc Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":103,"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 Waterloo; Toronto Metropolitan University","funders":"","keywords":"Computer network; Computer science; Vehicular ad hoc network; Wireless ad hoc network; Reliability (semiconductor); Cluster analysis; Distributed computing; Network topology; Wireless","score_opus":0.008991192858137721,"score_gpt":0.23080145133378757,"score_spread":0.22181025847564986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974090300","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":[0.004791743,0.003795131,0.98480713,0.00032946107,0.0005405831,0.0003014584,0.000066419016,0.0012209088,0.004147072],"genre_scores_gemma":[0.5033174,0.0055766106,0.47550446,0.0005830173,0.00065031473,0.0021028442,0.0008031973,0.00016385739,0.0112982],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886346,0.00035877706,0.00008025127,0.00017151926,0.0004489061,0.000077132965],"domain_scores_gemma":[0.9992174,0.0001876071,0.000099356046,0.00011811173,0.00033269587,0.000044870234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009514943,0.0006631324,0.0006982287,0.00080058386,0.000929439,0.0009658079,0.001694179,0.00084616523,0.0009920832],"category_scores_gemma":[0.0018834531,0.00026490833,0.0004093321,0.00086652127,0.0006239337,0.000973632,0.0010228797,0.0012947663,0.00046061203],"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":[0.00044940668,0.00017233408,0.0012771303,0.00094556285,0.00030672926,0.00065999315,0.00069084746,0.2346452,0.050348025,0.1341199,0.029726543,0.5466584],"study_design_scores_gemma":[0.00014054676,0.00039034183,0.0010397972,0.00011954229,0.00017422803,0.0007014851,0.00012148504,0.85304576,0.015716778,0.03520567,0.09319572,0.00014858591],"about_ca_topic_score_codex":0.002528784,"about_ca_topic_score_gemma":0.002483233,"teacher_disagreement_score":0.002528784,"about_ca_system_score_codex":0.00096179417,"about_ca_system_score_gemma":0.0014524313,"threshold_uncertainty_score":0.006978333},"labels":[],"label_agreement":null},{"id":"W1974155053","doi":"10.1109/tvt.2012.2206838","title":"Least Square Error Detection for Noncoherent Cooperative Relay Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pairwise error probability; Diversity gain; Algorithm; MIMO; Relay; Cooperative diversity; Detector; Coding gain; Topology (electrical circuits); Mathematics; Computer science; Diversity scheme; Control theory (sociology); Channel (broadcasting); Decoding methods; Telecommunications; Fading; Physics; Combinatorics","score_opus":0.03583951504614865,"score_gpt":0.28180180250432046,"score_spread":0.2459622874581718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974155053","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":[0.015090557,0.00064301444,0.98298407,0.00012715747,0.000023979448,0.000012300951,0.00001607057,0.00007904013,0.0010237945],"genre_scores_gemma":[0.80074966,0.0013423978,0.1946539,0.00021129436,0.00007679838,0.000100208206,0.00010788218,0.000030676532,0.0027271048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860436,0.00049044995,0.00006170932,0.00020969532,0.0005813746,0.00005245179],"domain_scores_gemma":[0.99774843,0.0013526222,0.00027391006,0.0001900456,0.00041328705,0.000021598447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012791802,0.00043666209,0.0006339871,0.00037145393,0.0002212018,0.00065217353,0.0007146996,0.0008343856,0.0006169786],"category_scores_gemma":[0.0062589403,0.000248697,0.00020967108,0.0005851461,0.0005974083,0.0010887256,0.00076971605,0.000566695,0.000275182],"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":[0.00017650069,0.000053476917,0.0011163136,0.00040134476,0.00008089827,0.00044578195,0.00033905733,0.67077786,0.019693809,0.16199017,0.0012144682,0.14371027],"study_design_scores_gemma":[0.000011588071,0.000048551443,0.00015912058,0.000008638956,0.0000064146693,0.00011235898,0.000013290605,0.97922796,0.002038226,0.01777446,0.0005889004,0.0000105272775],"about_ca_topic_score_codex":0.0004391115,"about_ca_topic_score_gemma":0.00034617356,"teacher_disagreement_score":0.0012791802,"about_ca_system_score_codex":0.0005434051,"about_ca_system_score_gemma":0.00052459934,"threshold_uncertainty_score":0.006765008},"labels":[],"label_agreement":null},{"id":"W1975176633","doi":"10.1109/tvt.2014.2322626","title":"Best Neighbor Communication in a Poisson Field of Nodes","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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 Alberta; Western University","funders":"","keywords":"Fading; Fading distribution; Channel state information; Node (physics); Channel (broadcasting); Computer science; Topology (electrical circuits); Poisson distribution; Computer network; Mathematics; Wireless; Telecommunications; Statistics; Engineering; Rayleigh fading; Combinatorics","score_opus":0.0057805340317796895,"score_gpt":0.2251468592338597,"score_spread":0.21936632520208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975176633","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":[0.12918551,0.0014690201,0.85825294,0.00050123665,0.0001913125,0.00011696886,0.00015102937,0.00015227169,0.009979734],"genre_scores_gemma":[0.9519128,0.0013603834,0.03879368,0.00018313597,0.00016560836,0.00014307245,0.00014147197,0.000029117486,0.0072708447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986864,0.00045882247,0.000054591816,0.00021971861,0.00036592488,0.00021451895],"domain_scores_gemma":[0.99666166,0.0019789485,0.00056523713,0.0001722446,0.00045192646,0.000170032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002428748,0.000556551,0.0010585785,0.0017843251,0.0011217897,0.0011960081,0.0015621901,0.00083922595,0.0017418674],"category_scores_gemma":[0.005643262,0.0005007579,0.00052677625,0.0013833441,0.0012574747,0.001785417,0.0015426882,0.00044302375,0.00032715796],"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":[0.00013963738,0.000038522536,0.0022695137,0.0001366657,0.00005876792,0.0005248711,0.00021122291,0.82870144,0.0022422324,0.1476215,0.0025265526,0.015529135],"study_design_scores_gemma":[0.000015795953,0.000051228748,0.00032488076,0.000010300015,0.000014849542,0.00015452992,0.000110991874,0.96759933,0.0005641319,0.030104939,0.0010261708,0.000022779384],"about_ca_topic_score_codex":0.0030029493,"about_ca_topic_score_gemma":0.0026898854,"teacher_disagreement_score":0.0030029493,"about_ca_system_score_codex":0.0011915403,"about_ca_system_score_gemma":0.0006675858,"threshold_uncertainty_score":0.012844622},"labels":[],"label_agreement":null},{"id":"W1976241251","doi":"10.1109/tvt.2014.2320228","title":"Cross-Layer Design and Performance Analysis of Tactical Radio Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"Defence Research and Development Canada","keywords":"Computer network; Computer science; Network packet; Throughput; Reliability (semiconductor); Network architecture; Distributed computing; Wireless; Telecommunications","score_opus":0.011162581874851476,"score_gpt":0.23936500145793044,"score_spread":0.22820241958307896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976241251","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":[0.051674582,0.0014196727,0.937664,0.00017633385,0.0000814369,0.00011970814,0.000078116966,0.0005196992,0.008266418],"genre_scores_gemma":[0.8389855,0.00159147,0.15440798,0.00019392197,0.000083074956,0.00025036777,0.00020491894,0.00017285519,0.0041099056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830234,0.000609182,0.00007625876,0.00016443436,0.00062023744,0.00022746738],"domain_scores_gemma":[0.9980921,0.0007677197,0.0002574335,0.00024067174,0.0005996015,0.00004240058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032042908,0.00097479817,0.0004454247,0.00064277527,0.00041206763,0.0015763515,0.0009512432,0.00054039265,0.0023651775],"category_scores_gemma":[0.004767777,0.00045978907,0.0005045776,0.0004556272,0.00042594384,0.0015191691,0.0007943027,0.00083431404,0.00049425446],"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":[0.00011301562,0.000094210416,0.0018144603,0.00017927749,0.00012747667,0.00016527221,0.00011239608,0.8861518,0.0235358,0.0390528,0.0012911155,0.047362376],"study_design_scores_gemma":[0.0000042994843,0.00005599016,0.00020733407,0.000010243602,0.000021651756,0.000040705632,0.000012508735,0.9919835,0.003912536,0.0025801754,0.0011634709,0.000007609264],"about_ca_topic_score_codex":0.0018788314,"about_ca_topic_score_gemma":0.0015604768,"teacher_disagreement_score":0.0032042908,"about_ca_system_score_codex":0.0013136757,"about_ca_system_score_gemma":0.0009216658,"threshold_uncertainty_score":0.016946077},"labels":[],"label_agreement":null},{"id":"W1976658287","doi":"10.1109/tvt.2013.2251374","title":"Performance Analysis and Enhancement of the DSRC for VANET's Safety Applications","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":290,"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 Waterloo; Toronto Metropolitan University; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dedicated short-range communications; Vehicular ad hoc network; Transmitter; Reliability (semiconductor); Fading; Computer science; Channel (broadcasting); Vehicular communication systems; Wireless ad hoc network; Mobility model; Transmission (telecommunications); Computer network; Range (aeronautics); Network packet; Wireless; Engineering; Telecommunications; Power (physics)","score_opus":0.003529303787545481,"score_gpt":0.18308932240441098,"score_spread":0.1795600186168655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976658287","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":[0.12277809,0.0022317916,0.8622919,0.00038773144,0.00008983045,0.000096587566,0.00010056408,0.00071800273,0.011305544],"genre_scores_gemma":[0.9803058,0.00062103017,0.01752066,0.000032597065,0.00002462013,0.00003407962,0.000049000766,0.000039311613,0.0013728916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990176,0.00029468344,0.000034383993,0.00010838606,0.00039826622,0.00014668817],"domain_scores_gemma":[0.99834645,0.00065389834,0.00017519233,0.00016458581,0.00061482785,0.000045010238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011697158,0.0008805761,0.00058855995,0.00069445075,0.0003313156,0.0007192328,0.000710301,0.00055580115,0.001015035],"category_scores_gemma":[0.0038461227,0.00028245142,0.00041155823,0.0005604957,0.00042861947,0.0006975686,0.0004941565,0.0005231702,0.00033650387],"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":[0.00009456766,0.000026383117,0.0009547463,0.000063388754,0.00001852309,0.00007240755,0.000047255726,0.96487415,0.006388857,0.0063852845,0.00046136885,0.020613238],"study_design_scores_gemma":[0.0000016978549,0.000051074476,0.00011146301,0.0000029229009,0.00000634593,0.00003417415,0.0000071693116,0.9980872,0.0011052447,0.0003040858,0.00028496783,0.000003625726],"about_ca_topic_score_codex":0.005877156,"about_ca_topic_score_gemma":0.0025241505,"teacher_disagreement_score":0.005877156,"about_ca_system_score_codex":0.0011170108,"about_ca_system_score_gemma":0.00099207,"threshold_uncertainty_score":0.011685908},"labels":[],"label_agreement":null},{"id":"W1977729057","doi":"10.1109/tvt.2014.2311496","title":"Distributed Channel Selection for Interference Mitigation in Dynamic Environment: A Game-Theoretic Stochastic Learning Solution","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":63,"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":"National Natural Science Foundation of China","keywords":"Computer science; Potential game; Channel (broadcasting); Regret; Interference (communication); Mathematical optimization; Channel allocation schemes; Set (abstract data type); Distributed computing; Computer network; Mathematics; Wireless; Nash equilibrium; Telecommunications","score_opus":0.005298376799534537,"score_gpt":0.2060084052959771,"score_spread":0.20071002849644257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977729057","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":[0.01039095,0.00013441234,0.9868194,0.00033126146,0.000026659127,0.00004060316,0.000023093144,0.00005188184,0.0021817642],"genre_scores_gemma":[0.8670197,0.00029173886,0.12724003,0.00029056767,0.00009864238,0.00021621077,0.00007063482,0.000045203913,0.0047272965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989354,0.0003968765,0.000025003432,0.00026319138,0.0002018305,0.00017762624],"domain_scores_gemma":[0.9983754,0.0010866445,0.0001799032,0.00007096913,0.00019081718,0.00009620106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013946892,0.0009883036,0.0012717467,0.00046796395,0.0006019753,0.0011535458,0.0015644871,0.0015227527,0.0014201893],"category_scores_gemma":[0.0036173002,0.00042226285,0.00052463514,0.0007483841,0.0015708505,0.0011908652,0.0014493591,0.0013753715,0.00021648317],"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":[0.000024295856,0.000025314195,0.0001730139,0.00002482396,0.000016856298,0.000046021796,0.000024715178,0.9766966,0.00035279756,0.01632483,0.00039426913,0.005896435],"study_design_scores_gemma":[0.0000081237995,0.000011964306,0.000033620774,0.0000021909725,0.0000030022823,0.000013385696,0.0000072978946,0.9943144,0.00007952867,0.0053798067,0.0001433858,0.0000032077787],"about_ca_topic_score_codex":0.0045067836,"about_ca_topic_score_gemma":0.0038203783,"teacher_disagreement_score":0.0045067836,"about_ca_system_score_codex":0.0014653835,"about_ca_system_score_gemma":0.0023656725,"threshold_uncertainty_score":0.010632098},"labels":[],"label_agreement":null},{"id":"W1978954881","doi":"10.1109/tvt.2012.2203327","title":"Joint Space-Time Parameter Estimation for Multicarrier CDMA Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Direction-of-Arrival Estimation Techniques","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":"Concordia University","funders":"","keywords":"Smoothing; Subcarrier; Multipath propagation; Covariance matrix; Code division multiple access; Algorithm; Computer science; Decorrelation; Joint (building); Electronic engineering; Orthogonal frequency-division multiplexing; Engineering; Telecommunications","score_opus":0.01793113486942034,"score_gpt":0.2582527950253429,"score_spread":0.24032166015592255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978954881","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":[0.0069768773,0.00030335132,0.9922449,0.000050031038,0.000020521227,0.0000069221865,0.000019919353,0.00013954687,0.00023792908],"genre_scores_gemma":[0.48618567,0.001356085,0.5090392,0.00007963634,0.00019347646,0.000077540775,0.0003418541,0.0001968244,0.0025296141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989089,0.0003545433,0.00007017618,0.00021328857,0.0003734264,0.000079767946],"domain_scores_gemma":[0.99670154,0.0020875384,0.0003078139,0.0005052342,0.00034487608,0.000052951473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152464,0.0009770129,0.00095202844,0.0006204661,0.00057442195,0.0010749374,0.00058372563,0.00075332663,0.00080914266],"category_scores_gemma":[0.008340107,0.0006223672,0.0005737085,0.0010988311,0.00068535673,0.0018610966,0.0009926254,0.0014234702,0.0006102575],"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":[0.00030659424,0.00006235882,0.0019216198,0.00018503517,0.00016462848,0.00015032396,0.00024382368,0.5152114,0.022998095,0.019675665,0.0011482211,0.43793225],"study_design_scores_gemma":[0.000015054133,0.000052651278,0.0006467571,0.000011488669,0.000024848252,0.00008957984,0.000028181848,0.9791808,0.008035014,0.010008346,0.0018703912,0.000036886828],"about_ca_topic_score_codex":0.0023673533,"about_ca_topic_score_gemma":0.0022041134,"teacher_disagreement_score":0.0023673533,"about_ca_system_score_codex":0.00035793075,"about_ca_system_score_gemma":0.000999098,"threshold_uncertainty_score":0.0060949326},"labels":[],"label_agreement":null},{"id":"W1979755618","doi":"10.1109/tvt.2012.2210957","title":"Vector Perturbation Precoding for Network MIMO: Sum Rate, Fair User Scheduling, and Impact of Backhaul Delay","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Backhaul (telecommunications); Precoding; MIMO; Upper and lower bounds; Scheduling (production processes); Base station; Computer science; Mathematical optimization; Mathematics; Control theory (sociology); Computer network; Channel (broadcasting)","score_opus":0.009849802120135963,"score_gpt":0.24047058718048495,"score_spread":0.23062078506034897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979755618","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":[0.19939053,0.0016212547,0.7918215,0.00038549886,0.00010651929,0.000065389366,0.000054961794,0.00027147942,0.006283004],"genre_scores_gemma":[0.9767364,0.00037729132,0.02205727,0.000039329356,0.000031889576,0.000025866277,0.000016803713,0.00001935481,0.0006957987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988673,0.0004901498,0.000025226502,0.000103744176,0.0003230908,0.00019050798],"domain_scores_gemma":[0.99451655,0.004070997,0.00046725315,0.00024716227,0.0006025644,0.00009539392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017614195,0.0008226556,0.0007800299,0.00038658472,0.00046021727,0.0010416687,0.00062569516,0.00060754095,0.0007837804],"category_scores_gemma":[0.0075954716,0.00026973413,0.00025837246,0.00070850743,0.0011114527,0.0012003593,0.00074139854,0.0006991922,0.0001128062],"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":[0.0001340705,0.00004309527,0.00045280956,0.000054293818,0.000019838944,0.00010456966,0.000045189045,0.969986,0.0057535735,0.011829127,0.0002846046,0.011292894],"study_design_scores_gemma":[0.0000025813795,0.000028271787,0.00006544845,0.0000020744342,0.0000031207987,0.000020906733,0.000010965043,0.9975702,0.00096356194,0.0012767278,0.000052613184,0.0000034123611],"about_ca_topic_score_codex":0.0038006646,"about_ca_topic_score_gemma":0.002822139,"teacher_disagreement_score":0.0038006646,"about_ca_system_score_codex":0.0012501951,"about_ca_system_score_gemma":0.0009867286,"threshold_uncertainty_score":0.0093153715},"labels":[],"label_agreement":null},{"id":"W1980315494","doi":"10.1109/tvt.2012.2184311","title":"Performance Analysis of Fixed Gain Relay Systems With a Single Interferer in Nakagami- $m$ Fading Channels","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":64,"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":"","keywords":"Nakagami distribution; Fading; Relay; Interference (communication); Bit error rate; Signal-to-noise ratio (imaging); Outage probability; Co-channel interference; Computer science; Topology (electrical circuits); Electronic engineering; Mathematics; Telecommunications; Electrical engineering; Physics; Engineering; Channel (broadcasting); Power (physics)","score_opus":0.026776517535688032,"score_gpt":0.24420840639099325,"score_spread":0.21743188885530523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980315494","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":[0.7498926,0.0019043939,0.23660637,0.00027617655,0.000031285756,0.000042097658,0.00011415122,0.00026457442,0.010868406],"genre_scores_gemma":[0.99678695,0.00027157846,0.0024180813,0.000010115162,0.000009445125,0.000008838316,0.00001532458,0.000010014819,0.0004697237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991571,0.0003026065,0.000027268683,0.00008326942,0.00025100145,0.0001788011],"domain_scores_gemma":[0.9953512,0.0031473746,0.00052795286,0.00023693402,0.00064209587,0.00009454923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010649083,0.0010166406,0.0008212137,0.00070397917,0.00043271523,0.0010849233,0.0007421457,0.00085809117,0.0012082101],"category_scores_gemma":[0.0061706435,0.000312443,0.00046437213,0.0006627751,0.0013480798,0.0007692578,0.0007680184,0.0005768201,0.0002453351],"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":[0.00023966003,0.00002290804,0.0022267783,0.000094946474,0.000081542545,0.0004721376,0.00020312524,0.9711784,0.010425454,0.0096183205,0.00016521291,0.0052715554],"study_design_scores_gemma":[0.000009525481,0.00014851641,0.0012502283,0.000012484059,0.000048057886,0.00022625239,0.00006062423,0.9940057,0.001984592,0.0020929328,0.00014197224,0.000019193269],"about_ca_topic_score_codex":0.005206878,"about_ca_topic_score_gemma":0.0028929256,"teacher_disagreement_score":0.005206878,"about_ca_system_score_codex":0.001503384,"about_ca_system_score_gemma":0.00059749023,"threshold_uncertainty_score":0.010907829},"labels":[],"label_agreement":null},{"id":"W1980352437","doi":"10.1109/tvt.2008.923668","title":"Collaborative Uplink Transmit Beamforming With Robustness Against Channel Estimation Errors","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Robustness (evolution); Telecommunications link; Base station; Relay; Channel state information; Fading; Precoding; Computer science; Channel (broadcasting); Electronic engineering; Engineering; Wireless; MIMO; Computer network; Telecommunications; Power (physics)","score_opus":0.004472029265301967,"score_gpt":0.20522742342350947,"score_spread":0.2007553941582075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980352437","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":[0.0067603826,0.000102269216,0.9920833,0.00005428603,0.000013649257,0.000009672544,0.000015365236,0.000085682834,0.00087534834],"genre_scores_gemma":[0.7748458,0.00057674653,0.2208945,0.00010910184,0.00016741725,0.00014282193,0.00010821194,0.000053552245,0.0031018897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911493,0.0002720277,0.00004399512,0.00016416097,0.0002987241,0.00010617675],"domain_scores_gemma":[0.99855834,0.0007198249,0.0002539993,0.00021628116,0.00021725318,0.00003430711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010445293,0.0010296853,0.000959427,0.0002862757,0.0003829676,0.0010638002,0.000958001,0.0011608016,0.001168508],"category_scores_gemma":[0.0044045956,0.0003843965,0.00069070765,0.00061512354,0.0008262238,0.0012658167,0.0011708651,0.000754922,0.00051344064],"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":[0.000107717824,0.00002963167,0.00032493737,0.00007116639,0.00004764444,0.00011263342,0.000061108505,0.92632425,0.007863121,0.013732405,0.0004371574,0.050888162],"study_design_scores_gemma":[0.000012635104,0.00007146344,0.0001059651,0.000005499009,0.000017801538,0.00005091219,0.0000110085375,0.98989505,0.005358404,0.0040218853,0.00043636674,0.000013186544],"about_ca_topic_score_codex":0.0011124827,"about_ca_topic_score_gemma":0.00067573984,"teacher_disagreement_score":0.001168508,"about_ca_system_score_codex":0.00037114797,"about_ca_system_score_gemma":0.00051370694,"threshold_uncertainty_score":0.0055240393},"labels":[],"label_agreement":null},{"id":"W1981773217","doi":"10.1109/tvt.2014.2351837","title":"Toward Optimal Admission Control and Resource Allocation for LTE-A Femtocell Uplink","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":41,"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 Waterloo","funders":"","keywords":"Femtocell; Computer science; Telecommunications link; Computer network; Scheduling (production processes); Throughput; 3rd Generation Partnership Project 2; Resource allocation; Base station; Greedy algorithm; Heuristic; User equipment; Quality of service; Admission control; Markov decision process; Mathematical optimization; Markov process; Wireless; Algorithm; Telecommunications; Mathematics","score_opus":0.00675562234346364,"score_gpt":0.2050324763139711,"score_spread":0.19827685397050746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981773217","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":[0.04363077,0.00054833066,0.9512245,0.0005652027,0.000057035126,0.000087881876,0.000046008554,0.0002791634,0.0035610956],"genre_scores_gemma":[0.9266912,0.00035863926,0.07087883,0.00016025777,0.00008317268,0.00013141149,0.00005042451,0.00004017276,0.0016059023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892575,0.00035472753,0.000035623696,0.00018246056,0.00022993644,0.00027151022],"domain_scores_gemma":[0.9981591,0.0012749637,0.000200285,0.000053844375,0.00019620353,0.000115668816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016136926,0.00097350153,0.0010458984,0.0007283093,0.0006867756,0.0013182837,0.0010934642,0.0010856636,0.0010838035],"category_scores_gemma":[0.0046850075,0.00064494106,0.0004849572,0.00067757576,0.0012908537,0.00086655427,0.0012919621,0.0014822757,0.0001972894],"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":[0.000072008974,0.00005281227,0.00031202167,0.000022788523,0.000020710753,0.000028885659,0.000043419615,0.9764414,0.0011188383,0.008424027,0.0006197408,0.012843398],"study_design_scores_gemma":[0.000004777577,0.0000042574993,0.000022823866,0.0000012697625,0.0000015105256,0.0000014735895,0.0000050497188,0.9982663,0.000096806674,0.0015493684,0.000044610788,0.0000018742907],"about_ca_topic_score_codex":0.021328509,"about_ca_topic_score_gemma":0.0113085015,"teacher_disagreement_score":0.021328509,"about_ca_system_score_codex":0.0022225196,"about_ca_system_score_gemma":0.003734877,"threshold_uncertainty_score":0.042408705},"labels":[],"label_agreement":null},{"id":"W1982469853","doi":"10.1109/tvt.2011.2168248","title":"Near-Optimal Channel Estimation for OFDM in Fast-Fading Channels","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":29,"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 Victoria","funders":"","keywords":"Fading; Orthogonal frequency-division multiplexing; Algorithm; Channel state information; Channel (broadcasting); Subcarrier; Estimator; Bit error rate; Computer science; Decoding methods; Kalman filter; Mathematics; Electronic engineering; Telecommunications; Statistics; Engineering; Wireless","score_opus":0.02124358851675296,"score_gpt":0.24554862289957094,"score_spread":0.22430503438281799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982469853","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":[0.009199459,0.00031955773,0.9896003,0.00004750744,0.00001815759,0.00000826668,0.000013961156,0.00019062601,0.0006022469],"genre_scores_gemma":[0.5763688,0.0007174212,0.42033917,0.00007943661,0.0000829743,0.000054630258,0.00013029895,0.00006175,0.0021655473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992836,0.00021163022,0.000023741355,0.00012509747,0.0002672054,0.00008881024],"domain_scores_gemma":[0.99907744,0.000567098,0.000083474755,0.00008703907,0.00016126418,0.000023663632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006062314,0.00058465323,0.0008916087,0.0003457501,0.00045265342,0.00064744457,0.0004873161,0.0006006998,0.00077285664],"category_scores_gemma":[0.002855642,0.00037676896,0.00034700954,0.00036996612,0.00066362554,0.0010113674,0.000749769,0.0007566376,0.00042657348],"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":[0.00021481502,0.000061623236,0.00096634176,0.00015552017,0.00008536622,0.0001251511,0.00017470134,0.7545941,0.02095825,0.022868138,0.0013828907,0.19841315],"study_design_scores_gemma":[0.000008235424,0.00003860541,0.00020110936,0.000006612176,0.000008555584,0.00006611813,0.000015085589,0.9915519,0.00390705,0.00343326,0.00075041293,0.0000130547305],"about_ca_topic_score_codex":0.0022927052,"about_ca_topic_score_gemma":0.0034669817,"teacher_disagreement_score":0.0022927052,"about_ca_system_score_codex":0.00045158862,"about_ca_system_score_gemma":0.0013085235,"threshold_uncertainty_score":0.0045586824},"labels":[],"label_agreement":null},{"id":"W1983757131","doi":"10.1109/tvt.2012.2236659","title":"Wireless Multicast Using Relays: Incentive Mechanism and Analysis","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Multicast; Computer network; Computer science; Network packet; Relay; Bidding; Throughput; Nash equilibrium; Game theory; Wireless; Mathematical optimization; Microeconomics; Telecommunications","score_opus":0.029876272711980813,"score_gpt":0.2735150792264216,"score_spread":0.24363880651444078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983757131","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":[0.029692484,0.0041293744,0.94329625,0.0021929268,0.00018526596,0.00032783666,0.0001594849,0.00017532651,0.01984112],"genre_scores_gemma":[0.85855204,0.0070555373,0.109123595,0.0005834117,0.000724389,0.0009938137,0.00017645411,0.000122010744,0.022668704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976634,0.0011098528,0.00008731008,0.00018226024,0.0005960214,0.00036119393],"domain_scores_gemma":[0.9962037,0.0021731972,0.0006484866,0.00023673204,0.0005437943,0.00019410452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053928355,0.0016444746,0.0018764017,0.0023256547,0.0010778927,0.002611014,0.0036021087,0.003601479,0.004877861],"category_scores_gemma":[0.012146232,0.0010861518,0.0018241291,0.002063911,0.0019775906,0.004946068,0.0020146968,0.0024824433,0.00074532937],"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":[0.000096649135,0.00014491715,0.00080821133,0.00019169589,0.00006122051,0.00042176555,0.00021268679,0.23194234,0.0021211014,0.7476057,0.0030002932,0.013393466],"study_design_scores_gemma":[0.000035486486,0.000061117535,0.00022972193,0.00004467635,0.00002974909,0.00019278412,0.00004969289,0.8981127,0.00032921438,0.09855715,0.0023274936,0.0000302389],"about_ca_topic_score_codex":0.0037460504,"about_ca_topic_score_gemma":0.0014582096,"teacher_disagreement_score":0.0053928355,"about_ca_system_score_codex":0.0036312237,"about_ca_system_score_gemma":0.002371085,"threshold_uncertainty_score":0.028520405},"labels":[],"label_agreement":null},{"id":"W1985988498","doi":"10.1109/tvt.2012.2200051","title":"An Optimal Probabilistic Multiple-Access Scheme for Cognitive Radios","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","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":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Queue; Queueing theory; Network packet; Scheduling (production processes); Computer network; Transmitter power output; Channel (broadcasting); Probabilistic logic; Cognitive radio; Queuing delay; Transmission (telecommunications); Real-time computing; Transmitter; Mathematical optimization; Wireless; Telecommunications; Mathematics","score_opus":0.022744982716641632,"score_gpt":0.2850438040541834,"score_spread":0.2622988213375418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985988498","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":[0.054313067,0.00058077404,0.9400236,0.00038049935,0.0000767183,0.00008765926,0.00005569635,0.00017924697,0.0043027336],"genre_scores_gemma":[0.9605569,0.00026426918,0.037701555,0.00007023978,0.00004136499,0.00009180927,0.000018478127,0.000011694088,0.001243721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985971,0.00051179895,0.00004943465,0.00019974365,0.00037991288,0.0002621205],"domain_scores_gemma":[0.99807006,0.0011582242,0.00027589776,0.00010920771,0.00029055006,0.0000960807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019839327,0.0010882667,0.0011447001,0.00046170971,0.0007134132,0.001555393,0.0016717409,0.0012408107,0.0013771973],"category_scores_gemma":[0.0055866786,0.0005715523,0.00055611803,0.0005481547,0.0013702869,0.0011929834,0.0012679428,0.0009792295,0.00024469572],"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":[0.00014865705,0.000069576156,0.0004722577,0.00007500661,0.00004804306,0.00015144773,0.00008325135,0.9502927,0.0033532528,0.03492426,0.0004527856,0.009928863],"study_design_scores_gemma":[0.000019282717,0.00004504387,0.000047087502,0.0000028984673,0.000011312505,0.000025808886,0.000008111869,0.9950257,0.00016460392,0.0045064976,0.00013678875,0.000006827791],"about_ca_topic_score_codex":0.004508491,"about_ca_topic_score_gemma":0.0035887107,"teacher_disagreement_score":0.004508491,"about_ca_system_score_codex":0.0014425672,"about_ca_system_score_gemma":0.0019065783,"threshold_uncertainty_score":0.010492146},"labels":[],"label_agreement":null},{"id":"W1987044550","doi":"10.1109/tvt.2014.2302232","title":"Distributed Deployment Algorithms for Efficient Coverage in a Network of Mobile Sensors With Nonidentical Sensing Capabilities","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":47,"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; McGill University","funders":"National Institute of Standards and Technology","keywords":"Voronoi diagram; Software deployment; Wireless sensor network; Computer science; Position (finance); Real-time computing; Algorithm; Distributed computing; Computer network; Mathematics","score_opus":0.006411325406490335,"score_gpt":0.21686130657633243,"score_spread":0.2104499811698421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987044550","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":[0.0031169225,0.0002974954,0.99607265,0.00005295118,0.000014505841,0.000020217303,0.000007308799,0.00007966854,0.00033818113],"genre_scores_gemma":[0.30624062,0.0013289334,0.6901821,0.00007511886,0.00008603555,0.00033670178,0.00010640874,0.00006905408,0.0015749764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934644,0.0001851358,0.000044579272,0.00011992315,0.00024866147,0.000055286226],"domain_scores_gemma":[0.99887246,0.0006186768,0.000160535,0.000105471954,0.00020742603,0.0000353719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010976891,0.00084673474,0.0008534177,0.00093577267,0.00053332315,0.00069701934,0.0011737535,0.00080237444,0.00081459363],"category_scores_gemma":[0.0033166774,0.00053750636,0.00046334034,0.0009791814,0.0006862898,0.0016269454,0.0011881177,0.0008005568,0.00033356296],"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":[0.000093768125,0.000050793817,0.0006630556,0.00023816199,0.00004170148,0.00011198393,0.00028579577,0.7695715,0.009558341,0.053494006,0.0016927986,0.16419809],"study_design_scores_gemma":[0.000036246565,0.000078792036,0.00019097455,0.000016639702,0.000014719819,0.0001258763,0.00003939555,0.98266774,0.0025172837,0.010802439,0.003496889,0.000013055622],"about_ca_topic_score_codex":0.0010537107,"about_ca_topic_score_gemma":0.001368742,"teacher_disagreement_score":0.0011737535,"about_ca_system_score_codex":0.0007612268,"about_ca_system_score_gemma":0.0006626886,"threshold_uncertainty_score":0.005805254},"labels":[],"label_agreement":null},{"id":"W1988231362","doi":"10.1109/tvt.2012.2196531","title":"Training Designs for Amplify-and-Forward Relaying With Spatially Correlated Antennas","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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 Saskatchewan","funders":"","keywords":"Relay; Channel (broadcasting); Bisection method; Node (physics); Computer science; Spatial correlation; Minimum mean square error; Mean squared error; Iterative method; Algorithm; Convex optimization; Mathematical optimization; Electronic engineering; Mathematics; Regular polygon; Engineering; Power (physics); Telecommunications; Statistics","score_opus":0.06289994223500533,"score_gpt":0.2796249299421162,"score_spread":0.21672498770711085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988231362","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":[0.005560937,0.00017864219,0.99299735,0.00007923963,0.000016538906,0.000026806205,0.000021265561,0.00006284203,0.0010563175],"genre_scores_gemma":[0.5259717,0.0008247117,0.469509,0.00017906644,0.00012352245,0.0003281198,0.00014769312,0.00004614046,0.0028699774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892104,0.0005156346,0.000060796327,0.00016215461,0.000261792,0.00007859665],"domain_scores_gemma":[0.99823135,0.0010216964,0.00029901002,0.00014744811,0.00026811394,0.00003237094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013018226,0.001198036,0.0007190282,0.00038199426,0.00035189537,0.0005425649,0.0007989895,0.0009840933,0.0014479217],"category_scores_gemma":[0.0047796704,0.0005144145,0.00043973877,0.0004902511,0.0006405886,0.00095353264,0.0006012781,0.0007736731,0.00054684666],"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":[0.00020490188,0.00009049713,0.00064962055,0.0002418729,0.00007762526,0.00014050744,0.00024430218,0.7902815,0.016939513,0.03995318,0.0013888566,0.14978771],"study_design_scores_gemma":[0.00003624521,0.00017738047,0.0002078203,0.000030190751,0.00003449862,0.00011292573,0.00002061868,0.9853092,0.004526368,0.007901378,0.0016217005,0.000021754915],"about_ca_topic_score_codex":0.0010328739,"about_ca_topic_score_gemma":0.0012324689,"teacher_disagreement_score":0.0014479217,"about_ca_system_score_codex":0.00056718837,"about_ca_system_score_gemma":0.00090189563,"threshold_uncertainty_score":0.0068848133},"labels":[],"label_agreement":null},{"id":"W1988369819","doi":"10.1109/tvt.2011.2177871","title":"Cooperative Sensing With Correlated Local Decisions in Cognitive Radio Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":28,"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":"Cognitive radio; Fusion center; Constraint (computer-aided design); False alarm; Integer (computer science); Value (mathematics); Minification; Correlation; Nonlinear system; Expected value; Mathematics; Computer science; Mathematical optimization; Algorithm; Artificial intelligence; Statistics","score_opus":0.016332410929051834,"score_gpt":0.22101606238422816,"score_spread":0.20468365145517634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988369819","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":[0.22813004,0.0004157776,0.7689471,0.0001872813,0.00002374203,0.000045407996,0.000021501814,0.0001541798,0.002074901],"genre_scores_gemma":[0.98672765,0.00012052627,0.012592646,0.000041410327,0.0000106514135,0.00003183681,0.000008376943,0.000010999706,0.00045576543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976585,0.00093998364,0.00005591064,0.00032176467,0.00063245336,0.00039134923],"domain_scores_gemma":[0.98944914,0.0083438475,0.0011278078,0.00029999003,0.000614019,0.00016510148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004261586,0.0010585695,0.0012597643,0.00075005274,0.0005396085,0.0010845605,0.0010563617,0.00091609283,0.000478318],"category_scores_gemma":[0.012793035,0.0005321281,0.000623585,0.0007422723,0.0018871633,0.0012611817,0.0010667518,0.0006993572,0.00009529471],"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":[0.000047082598,0.000023467832,0.000570672,0.000019474952,0.000033843506,0.00009852145,0.00004939958,0.99064916,0.0008465461,0.004193862,0.000060085724,0.003407835],"study_design_scores_gemma":[0.000006427317,0.000033641776,0.00015904251,0.0000031126513,0.000010198848,0.000022044034,0.000013727087,0.99695,0.00045901057,0.0023100497,0.000026984198,0.000005806503],"about_ca_topic_score_codex":0.004323641,"about_ca_topic_score_gemma":0.0034823222,"teacher_disagreement_score":0.004323641,"about_ca_system_score_codex":0.0013784694,"about_ca_system_score_gemma":0.0013216742,"threshold_uncertainty_score":0.022537649},"labels":[],"label_agreement":null},{"id":"W1989542827","doi":"10.1109/tvt.2011.2157845","title":"Distributed Resource Allocation for Cognitive Radio Networks With Spectrum-Sharing Constraints","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Cognitive radio; Computer science; Subcarrier; Resource allocation; Throughput; Computer network; Distributed computing; Cognitive network; Bandwidth (computing); Bandwidth allocation; Optimization problem; Channel allocation schemes; Mathematical optimization; Wireless; Orthogonal frequency-division multiplexing; Channel (broadcasting); Telecommunications; Algorithm","score_opus":0.015948472364699554,"score_gpt":0.21719337254019366,"score_spread":0.20124490017549412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989542827","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":[0.004738226,0.0005373782,0.990558,0.00017007899,0.000039472863,0.000044928518,0.00001776904,0.000031674837,0.0038624818],"genre_scores_gemma":[0.68924636,0.0017910128,0.29965523,0.00026241608,0.00021448969,0.0008176112,0.000096590156,0.00007587857,0.0078404965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998705,0.0006383292,0.00003697623,0.00015368813,0.0003292476,0.00013656223],"domain_scores_gemma":[0.99906975,0.00063465646,0.00009335204,0.000051351042,0.00011219223,0.000038684026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018607387,0.0012421565,0.0010147976,0.0004407153,0.00042012462,0.001631698,0.0012460437,0.0010914032,0.0015909472],"category_scores_gemma":[0.0034249313,0.00051125424,0.00057116954,0.0008449157,0.001112779,0.0012383525,0.0013181888,0.0011661418,0.0003239077],"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":[0.000050650196,0.00005104531,0.00011183185,0.00011068053,0.000035441135,0.00007972423,0.00007140432,0.8753633,0.0012085823,0.10019771,0.0008902218,0.02182938],"study_design_scores_gemma":[0.000023570507,0.000028642618,0.00003433301,0.000010763706,0.0000078332205,0.000014946006,0.000014241084,0.9693797,0.0002402532,0.028931959,0.0013071295,0.000006720099],"about_ca_topic_score_codex":0.0017179104,"about_ca_topic_score_gemma":0.0020598157,"teacher_disagreement_score":0.0018607387,"about_ca_system_score_codex":0.0016158943,"about_ca_system_score_gemma":0.001606014,"threshold_uncertainty_score":0.011724234},"labels":[],"label_agreement":null},{"id":"W1989741244","doi":"10.1109/tvt.2011.2165325","title":"Distributed MAC Protocol for Cognitive Radio Networks: Design, Analysis, and Optimization","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Cognitive radio; Throughput; Computer science; Optimization problem; Protocol (science); Computer network; Maximization; Distributed coordination function; Distributed computing; Access control; Wireless; Mathematical optimization; IEEE 802.11; Algorithm; Telecommunications","score_opus":0.024354655735485873,"score_gpt":0.2556553366870081,"score_spread":0.2313006809515222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989741244","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026536186,0.0023834512,0.9921085,0.00039693151,0.00007563732,0.00008509576,0.000020647056,0.00009297331,0.0021829756],"genre_scores_gemma":[0.35376194,0.0070919525,0.63329786,0.00037936892,0.0004388267,0.001184273,0.00014193918,0.00011261611,0.0035913216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965114,0.0013953364,0.00015096644,0.00031678242,0.0014437991,0.00018163997],"domain_scores_gemma":[0.99616516,0.002289109,0.0003726714,0.00030764734,0.00079411315,0.00007136543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043854793,0.0014765961,0.0010221067,0.00095613854,0.00057366694,0.002352945,0.0019005454,0.0015456429,0.0010096985],"category_scores_gemma":[0.0076888367,0.0007178837,0.00057419785,0.0012304919,0.0014734414,0.0019805753,0.0011145858,0.0020374719,0.00036424614],"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":[0.000069858535,0.00015780728,0.0007484478,0.00047900036,0.00012712683,0.00014229167,0.0001435196,0.7054343,0.0063284906,0.17798176,0.0032979313,0.105089426],"study_design_scores_gemma":[0.000020993306,0.00006297376,0.00008556373,0.000030164729,0.000021249783,0.0000555342,0.00002212407,0.9638236,0.0011732118,0.031576883,0.003114,0.000013585369],"about_ca_topic_score_codex":0.0016350035,"about_ca_topic_score_gemma":0.0015294155,"teacher_disagreement_score":0.0043854793,"about_ca_system_score_codex":0.0017960328,"about_ca_system_score_gemma":0.0028439604,"threshold_uncertainty_score":0.023192942},"labels":[],"label_agreement":null},{"id":"W1990521196","doi":"10.1109/tvt.2013.2269152","title":"Distributed Channel Selection in Time-Varying Radio Environment: Interference Mitigation Game With Uncoupled Stochastic Learning","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":63,"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":"Potential game; Nash equilibrium; Stochastic game; Computer science; Channel (broadcasting); Interference (communication); Game theory; Mathematical optimization; Selection (genetic algorithm); Channel allocation schemes; Function (biology); Distributed algorithm; Distributed computing; Computer network; Wireless; Telecommunications; Mathematics; Artificial intelligence; Mathematical economics","score_opus":0.009249489396784908,"score_gpt":0.2050348044586364,"score_spread":0.19578531506185148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990521196","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":[0.055584256,0.00007419615,0.94193697,0.00020658787,0.00001695128,0.000070136455,0.000031937245,0.000075860604,0.0020031184],"genre_scores_gemma":[0.9494688,0.000091286514,0.048067655,0.00009360759,0.000019829684,0.00013745207,0.000030247505,0.000013978002,0.002077178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850273,0.0006368037,0.000049769747,0.00029181733,0.0003181962,0.00020077496],"domain_scores_gemma":[0.9974699,0.0016154612,0.00041655716,0.00012842941,0.00019833042,0.00017134842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016323538,0.0008379966,0.001127197,0.00038640198,0.00045667923,0.00083148654,0.001602513,0.0010567291,0.0008263497],"category_scores_gemma":[0.0041823788,0.00037649463,0.0004679996,0.00051109394,0.001630402,0.0012811275,0.0012470251,0.0010377849,0.00012678743],"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":[0.00011628632,0.00006703917,0.0004507689,0.000043253945,0.00004276768,0.00011495576,0.0000839318,0.966241,0.0020018122,0.019417616,0.00027303773,0.011147439],"study_design_scores_gemma":[0.000020982645,0.00004115249,0.000093984076,0.0000028707143,0.000007699366,0.00002405259,0.000009380915,0.9940037,0.0003934098,0.0052678427,0.00012719745,0.00000762335],"about_ca_topic_score_codex":0.0024558415,"about_ca_topic_score_gemma":0.0020061638,"teacher_disagreement_score":0.0024558415,"about_ca_system_score_codex":0.0011991011,"about_ca_system_score_gemma":0.0012347815,"threshold_uncertainty_score":0.008700073},"labels":[],"label_agreement":null},{"id":"W1991070227","doi":"10.1109/tvt.2014.2337880","title":"Compute-and-Forward: Optimization Over Multisource–Multirelay Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Multicast; Transmission (telecommunications); Mathematical optimization; Constraint (computer-aided design); Optimization problem; Network topology; Throughput; Transmission delay; Limit (mathematics); Topology (electrical circuits); Computer network; Distributed computing; Algorithm; Mathematics; Wireless; Telecommunications","score_opus":0.009463640773458426,"score_gpt":0.23151500208498912,"score_spread":0.2220513613115307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991070227","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":[0.04449053,0.0013403937,0.9487903,0.00057085854,0.000056871108,0.000054029093,0.00006125575,0.00013814666,0.0044975714],"genre_scores_gemma":[0.86173487,0.00095203164,0.13317798,0.00012217202,0.000055504166,0.000119796314,0.00006588248,0.000054897457,0.003716949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994405,0.00025370126,0.000015469368,0.00010953719,0.00010159714,0.0000791801],"domain_scores_gemma":[0.99907994,0.0006462135,0.00013276185,0.000037684942,0.00007342792,0.000029857989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015443205,0.0013484117,0.0010610936,0.00049950485,0.00073054375,0.0010651042,0.0010277858,0.0011513815,0.0012566359],"category_scores_gemma":[0.0022197508,0.0004981834,0.00041001767,0.0008852822,0.0011177757,0.0016677505,0.00094630447,0.0008140928,0.00015204477],"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":[0.00004423042,0.000014786383,0.00011088583,0.00004166956,0.0000121161875,0.000042537275,0.000026807615,0.981454,0.0006139989,0.010735664,0.00022273703,0.0066805943],"study_design_scores_gemma":[0.0000062697127,0.000012731519,0.000023994919,0.0000022863348,0.0000032462106,0.000007344746,0.000007456333,0.99631065,0.0002442862,0.0031981925,0.00018082882,0.0000027449391],"about_ca_topic_score_codex":0.0064583384,"about_ca_topic_score_gemma":0.0042993985,"teacher_disagreement_score":0.0064583384,"about_ca_system_score_codex":0.0019140817,"about_ca_system_score_gemma":0.0010411518,"threshold_uncertainty_score":0.013887703},"labels":[],"label_agreement":null},{"id":"W1993402848","doi":"10.1109/tvt.2012.2227345","title":"Estimation of Fast-Fading Channels for Turbo Receivers With High-Order Modulation","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":20,"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 Victoria","funders":"","keywords":"Fading; Quadrature amplitude modulation; QAM; Computer science; Algorithm; Electronic engineering; Channel (broadcasting); Bit error rate; Control theory (sociology); Decoding methods; Telecommunications; Engineering","score_opus":0.009652136867292802,"score_gpt":0.23333590064360882,"score_spread":0.22368376377631602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993402848","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":[0.0056624054,0.00013855104,0.9935463,0.000028111088,0.000015673297,0.000009976311,0.000011891172,0.00016517613,0.0004219308],"genre_scores_gemma":[0.34913063,0.00061635906,0.64778644,0.000050268685,0.00008388551,0.00006234425,0.00009189531,0.000065645436,0.0021125714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995685,0.0001262166,0.000023041608,0.000050968254,0.0001890842,0.000042143296],"domain_scores_gemma":[0.99929535,0.00034540694,0.00007702934,0.000117329204,0.00014308497,0.000021695836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062814704,0.0006978083,0.00066867523,0.00046734916,0.00042445975,0.00061863527,0.0005846516,0.0006420219,0.00092951156],"category_scores_gemma":[0.0022924382,0.00035430765,0.0005011186,0.0004094531,0.00042921095,0.0009563955,0.0006072266,0.0007420767,0.00052376394],"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":[0.00018404804,0.00005353177,0.0015356642,0.00016989568,0.00007264839,0.0001713144,0.00014347995,0.623699,0.032416824,0.025526624,0.0012252639,0.31480178],"study_design_scores_gemma":[0.0000091312595,0.000035331563,0.00025097508,0.000008479543,0.0000107926935,0.0000760956,0.0000103569055,0.988452,0.0060567167,0.00409995,0.00097533397,0.00001483878],"about_ca_topic_score_codex":0.0020577563,"about_ca_topic_score_gemma":0.0036665937,"teacher_disagreement_score":0.0020577563,"about_ca_system_score_codex":0.0003647446,"about_ca_system_score_gemma":0.0011569081,"threshold_uncertainty_score":0.0040915012},"labels":[],"label_agreement":null},{"id":"W1993804409","doi":"10.1109/tvt.2015.2424372","title":"Maximum-Utility Scheduling for Multimedia Transmission in Drive-Thru Internet","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":50,"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 Victoria","funders":"","keywords":"Computer science; Scheduling (production processes); The Internet; Schedule; Wireless; Job shop scheduling; Benchmark (surveying); Heuristic; Distributed computing; Computer network; Mathematical optimization; Real-time computing; Artificial intelligence; Telecommunications","score_opus":0.01664739114017165,"score_gpt":0.2357695085592776,"score_spread":0.21912211741910598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993804409","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":[0.16559201,0.0006204703,0.8264477,0.00034009945,0.000058094138,0.00012323313,0.000089505105,0.00028074105,0.006448161],"genre_scores_gemma":[0.9666011,0.0001819859,0.032092568,0.000027885348,0.000012658891,0.000044634322,0.000045662215,0.00002867867,0.00096483115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996076,0.00017926256,0.000013529738,0.00005253178,0.00006536807,0.00008157624],"domain_scores_gemma":[0.9993388,0.0003909201,0.000075401236,0.00003722898,0.0000884408,0.00006922665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094806927,0.0004945193,0.00074383576,0.00058859866,0.0007564386,0.0007822344,0.0011651082,0.00048955483,0.0012047006],"category_scores_gemma":[0.0021067506,0.0003074123,0.00038093314,0.0009858223,0.00052082795,0.00096011546,0.00058272085,0.00047105018,0.0001257913],"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":[0.00012580834,0.0000629967,0.00042732447,0.000044678425,0.000015516294,0.00010974338,0.000057987818,0.9685422,0.001486999,0.013264016,0.0007742545,0.015088437],"study_design_scores_gemma":[0.000004833959,0.000015051241,0.0000563687,0.0000012076406,0.000001985164,0.000007677919,0.000012645282,0.99756783,0.00023265166,0.001960962,0.00013653767,0.0000022893444],"about_ca_topic_score_codex":0.0077877035,"about_ca_topic_score_gemma":0.0075495844,"teacher_disagreement_score":0.0077877035,"about_ca_system_score_codex":0.0016955102,"about_ca_system_score_gemma":0.0013910341,"threshold_uncertainty_score":0.01548475},"labels":[],"label_agreement":null},{"id":"W1993961741","doi":"10.1109/tvt.2014.2376779","title":"Distributed Resource Allocation for Multihop Decode-and-Forward Relay Systems","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Computer science; Computer network; Resource allocation; Multiplexing; Network packet; Optimization problem; Relay channel; Distributed computing; Telecommunications; Algorithm","score_opus":0.016415433345752243,"score_gpt":0.24947457116182822,"score_spread":0.23305913781607598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993961741","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":[0.01894776,0.00057732646,0.9775948,0.00011416819,0.000033476612,0.00004268217,0.00002469555,0.00012590327,0.0025391649],"genre_scores_gemma":[0.9139952,0.00044322704,0.08287192,0.000056952176,0.000030092078,0.00014018313,0.000032546384,0.000025985932,0.0024038525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939406,0.00022649328,0.000024990446,0.00010422184,0.00016719644,0.000083005296],"domain_scores_gemma":[0.999226,0.0004791552,0.00009071473,0.000058422054,0.00011992985,0.000025742956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092663907,0.00071671413,0.0008578558,0.00037050524,0.0004937379,0.0007851173,0.00096401107,0.0007062151,0.0013616644],"category_scores_gemma":[0.002140534,0.00029903447,0.00029381624,0.00047788347,0.00061089033,0.0008963119,0.00079211936,0.0005426828,0.0002663199],"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":[0.00009732683,0.000048217185,0.00014403672,0.00006354122,0.000022143944,0.00010475127,0.00007038868,0.94565624,0.0044419146,0.017557768,0.00074617274,0.031047557],"study_design_scores_gemma":[0.0000095834675,0.000022137838,0.000027113503,0.0000020791906,0.0000034079883,0.000016242142,0.000010498604,0.9957267,0.00057018717,0.0033298188,0.0002774038,0.000004853623],"about_ca_topic_score_codex":0.0021646258,"about_ca_topic_score_gemma":0.0025179524,"teacher_disagreement_score":0.0021646258,"about_ca_system_score_codex":0.0010610516,"about_ca_system_score_gemma":0.00072852615,"threshold_uncertainty_score":0.007698536},"labels":[],"label_agreement":null},{"id":"W1995200178","doi":"10.1109/tvt.2013.2280598","title":"SER of Orthogonal Space–Time Block Codes Over Rician and Nakagami- $m$ RF Backscattering Channels","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":19,"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":"","keywords":"Fading; Rician fading; Nakagami distribution; Algorithm; Channel (broadcasting); Mathematics; Topology (electrical circuits); Computer science; Telecommunications; Combinatorics","score_opus":0.0038964147442861374,"score_gpt":0.18304447086501857,"score_spread":0.17914805612073242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995200178","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":[0.49288112,0.0027479047,0.47794643,0.00066782616,0.00014543014,0.000054666325,0.00036697334,0.00046558375,0.024724137],"genre_scores_gemma":[0.9893253,0.00071361003,0.008297302,0.0000673829,0.000048061233,0.000026923783,0.00010356386,0.000028067738,0.0013897679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856204,0.0004658579,0.000045289617,0.00015739995,0.00043450942,0.00033501777],"domain_scores_gemma":[0.9920495,0.004748058,0.00095464295,0.0007101431,0.0013427176,0.00019490386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019802426,0.0011468049,0.000634846,0.0008174349,0.0005006481,0.0010896635,0.00045271614,0.0006778335,0.0014397303],"category_scores_gemma":[0.0074740555,0.0003223062,0.0003944489,0.0008559443,0.0014732421,0.0013282854,0.0008777969,0.00066333625,0.00050485757],"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":[0.00046269596,0.00005512677,0.0029313285,0.00020025711,0.000068508045,0.00043350042,0.0002838193,0.7732007,0.016516758,0.17834973,0.001954836,0.025542747],"study_design_scores_gemma":[0.000021891597,0.000091861686,0.0010293783,0.000041486335,0.000026922655,0.00024798777,0.00007486144,0.9657259,0.006985311,0.024698988,0.0010118363,0.000043577846],"about_ca_topic_score_codex":0.0032922768,"about_ca_topic_score_gemma":0.002009862,"teacher_disagreement_score":0.0032922768,"about_ca_system_score_codex":0.001121241,"about_ca_system_score_gemma":0.0015114342,"threshold_uncertainty_score":0.010472655},"labels":[],"label_agreement":null},{"id":"W1995704018","doi":"10.1109/tvt.2009.2024155","title":"An Adaptive Delay-Minimized Route Design for Wireless Sensor–Actuator Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","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":"Simon Fraser University","funders":"","keywords":"Wireless sensor network; Actuator; Scalability; Probabilistic logic; Computer science; Key distribution in wireless sensor networks; Wireless; Real-time computing; Distributed computing; Engineering; Wireless network; Computer network; Artificial intelligence; Telecommunications","score_opus":0.01589924103869642,"score_gpt":0.23933225675908007,"score_spread":0.22343301572038365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995704018","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008171252,0.00018545998,0.9903349,0.00006356107,0.000035787114,0.000041964853,0.000031215983,0.00034185938,0.00079401885],"genre_scores_gemma":[0.3314346,0.0004847857,0.6644115,0.00006505918,0.00004268871,0.0002444931,0.00018084962,0.00015278888,0.0029833298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999466,0.00016601171,0.000038805512,0.00012396784,0.0001525507,0.00005266443],"domain_scores_gemma":[0.99930346,0.00024830434,0.00011681311,0.00009367499,0.00019557722,0.000042133932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007739231,0.000844778,0.000476051,0.00067106576,0.0005500603,0.00065409637,0.0016788002,0.00053122174,0.0013532058],"category_scores_gemma":[0.0023189224,0.00035143827,0.00047351638,0.0006804019,0.00044947478,0.0010641331,0.00080962555,0.0005628365,0.00036062286],"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":[0.00012206202,0.000036364316,0.00046782137,0.00012574275,0.00003568832,0.000059341408,0.00008658011,0.85448384,0.010435089,0.019856611,0.0015618396,0.11272903],"study_design_scores_gemma":[0.000018025421,0.000091848975,0.00008071902,0.000006513182,0.000011154506,0.000041720297,0.00001504504,0.9901417,0.0026332848,0.003775722,0.0031733683,0.000010968948],"about_ca_topic_score_codex":0.0022224796,"about_ca_topic_score_gemma":0.0030592037,"teacher_disagreement_score":0.0022224796,"about_ca_system_score_codex":0.00072642457,"about_ca_system_score_gemma":0.0010460558,"threshold_uncertainty_score":0.00527066},"labels":[],"label_agreement":null},{"id":"W1997071749","doi":"10.1109/tvt.2015.2394742","title":"Vector Perturbation Precoding Under Quantized CSI","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Zero-forcing precoding; Control theory (sociology); Perturbation (astronomy); Computer science; Physics; Electronic engineering; Mathematics; Topology (electrical circuits); MIMO; Telecommunications; Engineering; Electrical engineering; Quantum mechanics; Artificial intelligence; Beamforming","score_opus":0.020395747064510354,"score_gpt":0.23437008194255232,"score_spread":0.21397433487804196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997071749","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":[0.010639568,0.00017271329,0.98708737,0.0001292061,0.00004275557,0.000025444204,0.000041721905,0.00012725634,0.0017338903],"genre_scores_gemma":[0.6820472,0.0007691958,0.31194752,0.00023798994,0.0001410871,0.00013316152,0.00018714975,0.00004217849,0.0044945166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938583,0.00020232359,0.00002499172,0.00010812058,0.00021984313,0.000058867732],"domain_scores_gemma":[0.9994628,0.0002387519,0.000088354056,0.00007243574,0.00011645875,0.00002120928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046235693,0.00067882903,0.0006669724,0.00020276684,0.00021104437,0.0006249404,0.0006087054,0.0005078321,0.00087485934],"category_scores_gemma":[0.0017146767,0.0002711859,0.00019688724,0.00056542497,0.0006253741,0.0010292223,0.00057849573,0.0006819281,0.00032694283],"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":[0.00021879017,0.00005196295,0.00041484402,0.00017444669,0.000052741958,0.00019866525,0.00013060396,0.7651279,0.04479897,0.070565976,0.002338128,0.115926936],"study_design_scores_gemma":[0.000008843804,0.000069347894,0.0000730209,0.000008327601,0.0000064853944,0.00006373334,0.000015516447,0.98522365,0.0064708916,0.007205891,0.00084537384,0.000008926675],"about_ca_topic_score_codex":0.00074587687,"about_ca_topic_score_gemma":0.0010856801,"teacher_disagreement_score":0.00087485934,"about_ca_system_score_codex":0.00036220968,"about_ca_system_score_gemma":0.00069346005,"threshold_uncertainty_score":0.0029266477},"labels":[],"label_agreement":null},{"id":"W1997986374","doi":"10.1109/tvt.2007.905454","title":"Achieving High-Capacity Narrowband Cellular Systems by Means of Multicell Multiuser Detection","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":6,"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":"Simon Fraser University","keywords":"Narrowband; Telecommunications link; Computer science; Wideband; Bandwidth (computing); Electronic engineering; Interference (communication); Multiuser detection; Spectral efficiency; Computational complexity theory; Computer network; Telecommunications; Engineering; Algorithm; Code division multiple access; Channel (broadcasting)","score_opus":0.019834799667113916,"score_gpt":0.22175542139258977,"score_spread":0.20192062172547587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997986374","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":[0.052374892,0.00034558497,0.94147825,0.00026985287,0.000027189608,0.000036613237,0.000044005912,0.00067324936,0.004750371],"genre_scores_gemma":[0.6325542,0.00028702058,0.36443055,0.00015760153,0.000038615734,0.00008263935,0.00008703328,0.00004177798,0.0023206517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934584,0.0002079223,0.000024717217,0.000089939604,0.0002097014,0.00012198736],"domain_scores_gemma":[0.9985251,0.0007788658,0.00012424709,0.00020698461,0.0002904301,0.00007435027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007279058,0.00060793484,0.00054055074,0.0005335159,0.0005342048,0.0009216733,0.0007544869,0.00066782883,0.001438245],"category_scores_gemma":[0.0023709554,0.00030839068,0.0002749772,0.0005258815,0.0006026737,0.0012824171,0.0016661516,0.0008818851,0.0008486293],"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":[0.00027608557,0.0003008501,0.0030657314,0.00023189126,0.00012946449,0.00028847597,0.00035505136,0.41545105,0.1954761,0.061159033,0.0032292823,0.3200371],"study_design_scores_gemma":[0.000035884816,0.00010666962,0.0005973108,0.000021075184,0.000021599919,0.00014999007,0.000076555574,0.89529365,0.0801426,0.018361293,0.0051527317,0.0000406265],"about_ca_topic_score_codex":0.0016251582,"about_ca_topic_score_gemma":0.002566813,"teacher_disagreement_score":0.0016251582,"about_ca_system_score_codex":0.0005214287,"about_ca_system_score_gemma":0.00060293946,"threshold_uncertainty_score":0.0048113465},"labels":[],"label_agreement":null},{"id":"W1999077758","doi":"10.1109/tvt.2011.2172823","title":"Scalable Modulation for Video Transmission in Wireless Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":40,"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 Victoria","funders":"","keywords":"Computer science; Modulation (music); Wireless; Transmission (telecommunications); Scalability; Computer network; Electronic engineering; Wireless network; Wireless transmission; Telecommunications; Engineering; Physics","score_opus":0.023858577496380876,"score_gpt":0.23403714442345705,"score_spread":0.21017856692707618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999077758","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":[0.038094863,0.0071802502,0.93800974,0.0009875589,0.00029059994,0.000096755444,0.000074218864,0.0005057242,0.014760228],"genre_scores_gemma":[0.8375542,0.004701027,0.15268221,0.00026877417,0.00036130904,0.00013619734,0.00012840956,0.000059660557,0.0041081896],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998092,0.00006516263,0.0000060686107,0.000014648517,0.00008786931,0.00001710439],"domain_scores_gemma":[0.99977034,0.00011616664,0.000022271961,0.000023824472,0.00005848444,0.000008872229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031646347,0.00031893712,0.0002305564,0.0002725202,0.00023625472,0.00036484443,0.00032252536,0.00032457508,0.0020030579],"category_scores_gemma":[0.00089970144,0.00008987016,0.00013413654,0.0006335241,0.00032371044,0.0005021512,0.00028742815,0.00051817554,0.00028022382],"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":[0.00030386436,0.000082445236,0.0010593383,0.00051375595,0.000071379196,0.00034355294,0.00014522385,0.25290948,0.15037265,0.17387943,0.014228292,0.40609062],"study_design_scores_gemma":[0.000039066756,0.00020380926,0.00044772896,0.00007539713,0.000026531225,0.00020755945,0.000031705455,0.9272186,0.014068748,0.04241946,0.015244032,0.000017388918],"about_ca_topic_score_codex":0.0009480033,"about_ca_topic_score_gemma":0.0010024479,"teacher_disagreement_score":0.0020030579,"about_ca_system_score_codex":0.00041333618,"about_ca_system_score_gemma":0.0003657073,"threshold_uncertainty_score":0.0067008734},"labels":[],"label_agreement":null},{"id":"W1999570629","doi":"10.1109/tvt.2011.2165740","title":"Optimal Data Transmission and Channel Code Rate Allocation in Multipath Wireless Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"University of British Columbia","funders":"","keywords":"Computer science; Multipath routing; Computer network; Multipath propagation; Channel (broadcasting); Wireless network; Wireless; Linear network coding; Channel allocation schemes; Distributed computing; Routing (electronic design automation); Routing protocol; Dynamic Source Routing; Telecommunications; Network packet","score_opus":0.05653176751486623,"score_gpt":0.26992566116030114,"score_spread":0.21339389364543493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999570629","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":[0.039331,0.0008113593,0.9578142,0.00014448952,0.000017875687,0.000024446383,0.000038944796,0.00015299462,0.0016647623],"genre_scores_gemma":[0.89272505,0.0014095509,0.10326468,0.00005329631,0.000035503163,0.000107398366,0.00005178623,0.00005421734,0.0022984387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993772,0.00023412291,0.00001634531,0.00010072401,0.00014281244,0.0001288023],"domain_scores_gemma":[0.9989274,0.00076310075,0.00012995595,0.000051884243,0.000096475735,0.000031257823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009345756,0.00075589994,0.0006729881,0.00053042837,0.00042180685,0.000698972,0.0005909326,0.0006015492,0.0005678594],"category_scores_gemma":[0.0029353618,0.00047737124,0.00028391072,0.0011155163,0.0012455988,0.00089500914,0.00093285687,0.0006452137,0.00013471373],"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":[0.00001863027,0.00000839905,0.00015386194,0.000023617893,0.000005974911,0.000031956162,0.000018924158,0.9793474,0.0011316157,0.0095200995,0.00018563948,0.0095539065],"study_design_scores_gemma":[0.000003682942,0.00001661064,0.00006509539,0.0000038443086,0.0000037725572,0.00001546378,0.000013069023,0.9906345,0.00071974506,0.008252736,0.00026590587,0.000005608243],"about_ca_topic_score_codex":0.005169526,"about_ca_topic_score_gemma":0.004013109,"teacher_disagreement_score":0.005169526,"about_ca_system_score_codex":0.0013624169,"about_ca_system_score_gemma":0.0016364347,"threshold_uncertainty_score":0.010278881},"labels":[],"label_agreement":null},{"id":"W2001062896","doi":"10.1109/tvt.2014.2365721","title":"Hierarchical Decision-Making With Information Asymmetry for Spectrum Sharing Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stackelberg competition; Uniqueness; Information sharing; Information asymmetry; Mathematical optimization; Asymmetry; Complete information; Maximization; Computer science; Game theory; Variational inequality; Information exchange; Mathematical economics; Mathematics; Microeconomics; Economics","score_opus":0.012131196620192155,"score_gpt":0.24076439745041234,"score_spread":0.22863320083022018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001062896","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":[0.059829213,0.00028666272,0.93457115,0.0004269128,0.0000391335,0.00006601321,0.00006488059,0.00007243822,0.004643613],"genre_scores_gemma":[0.9704471,0.00020796605,0.027960444,0.00007512604,0.00003614235,0.00007707678,0.000037465656,0.000010047718,0.0011486723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99772984,0.0007989456,0.000108309556,0.00038576243,0.0005786696,0.00039853997],"domain_scores_gemma":[0.99663866,0.0020562275,0.0006026927,0.00022863006,0.00030960765,0.0001641998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025698924,0.0009237692,0.0011252059,0.0006358529,0.0010372556,0.0017989367,0.0016229238,0.0013037284,0.0021887491],"category_scores_gemma":[0.0061680707,0.0005510408,0.0009959671,0.0008287402,0.0016086961,0.0022437475,0.0018003748,0.0015237732,0.00026206012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010301107,0.00006537749,0.0010361698,0.00011040393,0.00008808417,0.00034511334,0.0003567739,0.8120548,0.0028797032,0.17051686,0.00054434326,0.011899379],"study_design_scores_gemma":[0.000011491373,0.000022620965,0.00014362828,0.0000049111427,0.000011733228,0.000021155009,0.00003210108,0.954557,0.00023742825,0.044749442,0.00019787443,0.000010547773],"about_ca_topic_score_codex":0.0046860375,"about_ca_topic_score_gemma":0.0033033376,"teacher_disagreement_score":0.0046860375,"about_ca_system_score_codex":0.001825512,"about_ca_system_score_gemma":0.001715009,"threshold_uncertainty_score":0.013591111},"labels":[],"label_agreement":null},{"id":"W2001066214","doi":"10.1109/tvt.2013.2262957","title":"Optimization of Hierarchical Modulation for Decode-and-Forward Wireless Relay Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"University of Saskatchewan","funders":"","keywords":"Relay; Quadrature amplitude modulation; QAM; Space–time block code; Transmission (telecommunications); Computer science; Bit error rate; Electronic engineering; Modulation (music); Wireless; Data stream; Phase-shift keying; Block code; Algorithm; Decoding methods; Telecommunications; Engineering","score_opus":0.013874692293323177,"score_gpt":0.24237495855867075,"score_spread":0.22850026626534758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001066214","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":[0.024079064,0.0005996151,0.97244906,0.000109661385,0.000019493395,0.000037660422,0.000052831005,0.00008562758,0.0025670205],"genre_scores_gemma":[0.7234541,0.0008834874,0.27315775,0.000072966715,0.000038230166,0.00011224518,0.00008616402,0.000029534545,0.0021655653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993673,0.0002881617,0.000036334015,0.00007241632,0.00017742075,0.00005847508],"domain_scores_gemma":[0.9993876,0.00031178794,0.00011550014,0.00007490993,0.0000907932,0.00001947584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008867296,0.0008096536,0.00048757516,0.00035239445,0.00025610824,0.00044119277,0.000519318,0.00038852476,0.0011161556],"category_scores_gemma":[0.0024278655,0.00026386025,0.00026061272,0.0004196981,0.0004858806,0.00075426337,0.0006792649,0.00040842043,0.00025836113],"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":[0.00011850272,0.000036822315,0.0004825778,0.00015921515,0.000031442465,0.000057295485,0.00014143222,0.8249733,0.017304085,0.05757875,0.00084185303,0.098274805],"study_design_scores_gemma":[0.000020219795,0.00013550515,0.00017576052,0.00001362446,0.000015514193,0.00004107519,0.00002148629,0.98119056,0.0034698732,0.013249021,0.0016538304,0.0000134680295],"about_ca_topic_score_codex":0.00089853024,"about_ca_topic_score_gemma":0.0018228551,"teacher_disagreement_score":0.0011161556,"about_ca_system_score_codex":0.00086200394,"about_ca_system_score_gemma":0.00058760203,"threshold_uncertainty_score":0.0062543154},"labels":[],"label_agreement":null},{"id":"W2002508561","doi":"10.1109/tvt.2009.2033079","title":"Region-Based Location-Service-Management Protocol for VANETs","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":144,"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 Waterloo","funders":"","keywords":"Computer network; Computer science; Scalability; Vehicular ad hoc network; Node (physics); Protocol (science); Overhead (engineering); Distributed computing; Mobility management; Wireless ad hoc network; Routing protocol; Routing (electronic design automation); Wireless; Engineering; Telecommunications","score_opus":0.013329436347305636,"score_gpt":0.2471403166315762,"score_spread":0.23381088028427058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002508561","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":[0.009112609,0.0021937566,0.9784817,0.00059004273,0.0003004359,0.00037504238,0.00019817172,0.0013729592,0.007375197],"genre_scores_gemma":[0.49957377,0.003439778,0.48303834,0.000529272,0.0002472165,0.0017737683,0.0014572655,0.0001970741,0.0097434865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989802,0.00041249904,0.00009781102,0.00010862021,0.00033960867,0.0000612366],"domain_scores_gemma":[0.9993217,0.00025692236,0.00009921794,0.00009803827,0.00018270932,0.00004134146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013287461,0.000465787,0.00072102214,0.0008370209,0.0007845568,0.0010513604,0.0015980629,0.0007168596,0.0015265413],"category_scores_gemma":[0.0028586208,0.0002138219,0.00036594013,0.0012586867,0.0006800324,0.0017070425,0.0016901982,0.0010734551,0.00059395406],"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":[0.00052055344,0.00016378886,0.001148541,0.00076058455,0.00021499499,0.0010046152,0.0009486716,0.2111904,0.04496593,0.36432624,0.022146974,0.35260877],"study_design_scores_gemma":[0.00017936307,0.0004966458,0.00040369274,0.000103538245,0.00014360805,0.0012144694,0.00026712657,0.7571252,0.017622283,0.07830173,0.14399008,0.00015233034],"about_ca_topic_score_codex":0.0012772682,"about_ca_topic_score_gemma":0.0012775509,"teacher_disagreement_score":0.0015980629,"about_ca_system_score_codex":0.00065220677,"about_ca_system_score_gemma":0.0010931732,"threshold_uncertainty_score":0.007027209},"labels":[],"label_agreement":null},{"id":"W2002991263","doi":"10.1109/tvt.2012.2210259","title":"An Automotive Onboard 3.3-kW Battery Charger for PHEV Application","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":270,"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, Okanagan Campus; University of British Columbia; Delta-Q Technologies (Canada)","funders":"","keywords":"Battery charger; Battery (electricity); Battery pack; Engineering; Electrical engineering; Automotive engineering; Automotive battery; Automotive industry; Electric vehicle; Power (physics)","score_opus":0.012980265095950889,"score_gpt":0.27406028948365724,"score_spread":0.26108002438770633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002991263","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":[0.29890946,0.0009032847,0.6418818,0.00065128977,0.0006008632,0.00066538865,0.000921455,0.005332375,0.05013405],"genre_scores_gemma":[0.90304327,0.000479886,0.058767937,0.00031925042,0.00007682035,0.00021507213,0.0007034459,0.00023467427,0.036159743],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997826,0.0000273667,0.000009104376,0.000036785168,0.00011067026,0.00003346725],"domain_scores_gemma":[0.9998617,0.0000136369,0.000013283463,0.000022858514,0.00007396093,0.000014517234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015144689,0.00044941995,0.00048481536,0.00026806362,0.0002776744,0.00055986375,0.00093785324,0.0006630534,0.0049148365],"category_scores_gemma":[0.0002113569,0.0002015077,0.00048244052,0.00023881867,0.00010019844,0.00047197498,0.00025652343,0.0005261477,0.002854241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053836266,0.00023986402,0.0020870883,0.000733322,0.00012004638,0.0009209399,0.00021628039,0.0066391523,0.7727412,0.0034113456,0.011462414,0.20089002],"study_design_scores_gemma":[0.00021463548,0.0039736303,0.015163278,0.00006598807,0.00023140333,0.0070181997,0.00019462992,0.07708391,0.7400146,0.0013570401,0.15456825,0.000114402406],"about_ca_topic_score_codex":0.0005863293,"about_ca_topic_score_gemma":0.00097041833,"teacher_disagreement_score":0.0049148365,"about_ca_system_score_codex":0.0002378395,"about_ca_system_score_gemma":0.00036902842,"threshold_uncertainty_score":0.016441822},"labels":[],"label_agreement":null},{"id":"W2003575213","doi":"10.1109/tvt.2015.2396298","title":"Stochastic Modeling of Single-Hop Cluster Stability in Vehicular Ad Hoc Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":58,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless ad hoc network; Computer science; Cluster analysis; Markov chain; Queueing theory; Scalability; Markov process; Vehicular ad hoc network; Cluster (spacecraft); Mobility model; Topology (electrical circuits); Computer network; Stability (learning theory); Node (physics); Stochastic process; Stochastic geometry models of wireless networks; Distributed computing; Mathematics; Engineering; Wireless; Telecommunications; Statistics","score_opus":0.02068741818841496,"score_gpt":0.21507303425045468,"score_spread":0.19438561606203972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003575213","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":[0.07466463,0.00048945047,0.9201864,0.00035523906,0.0000753275,0.00005832193,0.00017404625,0.00019958743,0.0037968766],"genre_scores_gemma":[0.9805161,0.00069551036,0.015269757,0.000071414164,0.00007901435,0.00010622823,0.00016708142,0.000040233037,0.0030547685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999209,0.00021964248,0.000041198735,0.00013769408,0.0002566458,0.00013582877],"domain_scores_gemma":[0.9979367,0.001177243,0.00036278254,0.000103297614,0.00033066995,0.000089177876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012649682,0.00056756445,0.0007524618,0.00076752645,0.00071215717,0.0012417802,0.0017209321,0.0010085285,0.00076658383],"category_scores_gemma":[0.004733958,0.00048605684,0.00062577805,0.00092803774,0.0013852972,0.0012900358,0.0008549902,0.0008536812,0.00020677372],"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":[0.000009882371,0.000007337745,0.00040368515,0.000010614367,0.000009760897,0.0000499945,0.00003399394,0.97442836,0.0004325859,0.023383597,0.0001527795,0.0010774622],"study_design_scores_gemma":[0.0000012384512,0.0000036128754,0.000065850974,0.0000011481973,0.0000018166887,0.000005383996,0.000005217845,0.9963953,0.0000393093,0.0033925476,0.0000859097,0.0000027266005],"about_ca_topic_score_codex":0.0137471305,"about_ca_topic_score_gemma":0.00591943,"teacher_disagreement_score":0.0137471305,"about_ca_system_score_codex":0.0017956755,"about_ca_system_score_gemma":0.0010958122,"threshold_uncertainty_score":0.027334213},"labels":[],"label_agreement":null},{"id":"W2004325073","doi":"10.1109/tvt.2014.2366775","title":"Analysis of Message Delivery Delay in Vehicular Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":18,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissemination; Reliability (semiconductor); Process (computing); Computer science; Intelligent transportation system; Vehicular ad hoc network; Information Dissemination; Computer network; Distributed computing; Simulation; Engineering; Transport engineering; Wireless ad hoc network; Wireless; Telecommunications","score_opus":0.004440841562528254,"score_gpt":0.19215241435372657,"score_spread":0.18771157279119832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004325073","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":[0.13368753,0.007260264,0.8476906,0.00097517826,0.00027053934,0.00013511386,0.00034750628,0.00041458415,0.009218694],"genre_scores_gemma":[0.9761955,0.0026122313,0.017652035,0.00008258726,0.00010898058,0.00009637095,0.00018234791,0.00006861282,0.0030013483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998638,0.0003464445,0.00007779684,0.00021355736,0.00046956842,0.00025471672],"domain_scores_gemma":[0.9948377,0.003562616,0.0005936731,0.00016020446,0.0007323068,0.00011351176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020249083,0.0010031821,0.000731988,0.0021742086,0.0005902332,0.0012555801,0.0014445846,0.00082739885,0.0010149949],"category_scores_gemma":[0.01169915,0.0004762977,0.00047231367,0.0014668404,0.0007763644,0.0017891498,0.00083965145,0.00066327874,0.00028126285],"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":[0.00007560097,0.000019027619,0.0015102735,0.00011847324,0.000035660694,0.00012463388,0.000102064485,0.94640315,0.0020777208,0.03727044,0.0007572707,0.011505745],"study_design_scores_gemma":[0.000003218927,0.00002708837,0.00029054083,0.000010954633,0.00001160045,0.00004950854,0.00003373936,0.99138474,0.00048556356,0.0067815194,0.0009133189,0.000008249881],"about_ca_topic_score_codex":0.008973793,"about_ca_topic_score_gemma":0.0027875619,"teacher_disagreement_score":0.008973793,"about_ca_system_score_codex":0.0037789303,"about_ca_system_score_gemma":0.0013256922,"threshold_uncertainty_score":0.027418196},"labels":[],"label_agreement":null},{"id":"W2004733292","doi":"10.1109/tvt.2011.2119337","title":"Correction to \"Downlink Scheduling via Genetic Algorithms for Multiuser Single-Carrier and Multicarrier MIMO Systems With Dirty Paper Coding\" [Sep 09 3247-3262]","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"University of Alberta","funders":"","keywords":"Telecommunications link; Coding (social sciences); Computer science; Scheduling (production processes); Algorithm; Error detection and correction; Electronic engineering; Telecommunications; Mathematics; Engineering; Mathematical optimization; Statistics","score_opus":0.015253167766817772,"score_gpt":0.2123862989698144,"score_spread":0.19713313120299664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004733292","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012948706,0.0033006638,0.07202322,0.087751865,0.8144314,0.00019146758,0.00406313,0.0075248843,0.0094185015],"genre_scores_gemma":[0.08779338,0.012753647,0.18955815,0.12616661,0.14897552,0.0012499116,0.00965309,0.0070684254,0.41678134],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99277616,0.0017499189,0.0008290683,0.00080172304,0.0034032327,0.00043991924],"domain_scores_gemma":[0.9623943,0.0092746215,0.0018094253,0.0037735384,0.022192018,0.00055611494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052174055,0.0036385993,0.002127292,0.0032452308,0.0027472458,0.0023866815,0.00561158,0.006851885,0.054720648],"category_scores_gemma":[0.06534808,0.0014068728,0.0022869045,0.0038915775,0.002793286,0.0031330301,0.00343127,0.010703958,0.03022275],"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":[0.00012148067,0.000029714747,0.00015220721,0.00032890396,0.00005236676,0.0002527633,0.00015443069,0.0013535524,0.0004211555,0.012041874,0.9678046,0.01728694],"study_design_scores_gemma":[0.00017002103,0.00007565648,0.0013155635,0.00055835565,0.000117430754,0.0006715903,0.00013676552,0.022952702,0.0043228962,0.015884321,0.95358074,0.00021395591],"about_ca_topic_score_codex":0.02695128,"about_ca_topic_score_gemma":0.017519608,"teacher_disagreement_score":0.054720648,"about_ca_system_score_codex":0.005128009,"about_ca_system_score_gemma":0.0057130996,"threshold_uncertainty_score":0.1830588},"labels":[],"label_agreement":null},{"id":"W2005089581","doi":"10.1109/tvt.2013.2243178","title":"Low-Complexity Timing Synchronization for Decode-and-Forward Cooperative Communication Systems With Multiple Relays","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":10,"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 Victoria","funders":"","keywords":"Estimator; Relay; Synchronization (alternating current); Fading; Computer science; Computational complexity theory; Algorithm; Channel (broadcasting); Real-time computing; Mathematics; Telecommunications; Decoding methods; Statistics","score_opus":0.027287964079231033,"score_gpt":0.2517749090052838,"score_spread":0.22448694492605278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005089581","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":[0.015669495,0.00047515568,0.98257625,0.00007330156,0.00002939685,0.000024442303,0.000018256296,0.0001308802,0.001002848],"genre_scores_gemma":[0.8121601,0.0008918968,0.1841925,0.00005885284,0.00007712201,0.00009809906,0.000066099456,0.000027173559,0.0024281675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999493,0.00014085487,0.000028058681,0.000099835146,0.00020107607,0.00003717029],"domain_scores_gemma":[0.99893683,0.00060685544,0.00019741859,0.00008428014,0.00015467819,0.000019904677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006250068,0.000720126,0.000620624,0.0003411155,0.0004767433,0.00055167987,0.0004848024,0.00051352143,0.00082675065],"category_scores_gemma":[0.002832298,0.00026106834,0.00025785077,0.00046899507,0.00037786405,0.00084462506,0.0005490572,0.0005863466,0.00025037382],"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":[0.00035769513,0.00006187296,0.002276496,0.00039040938,0.00008677629,0.00056930806,0.00052886404,0.67138785,0.05856166,0.057457052,0.0011920487,0.20712999],"study_design_scores_gemma":[0.000024471052,0.0001879496,0.0002507074,0.000015341719,0.000030746134,0.000220967,0.000040868006,0.9815692,0.011122549,0.004227278,0.0022882444,0.00002172208],"about_ca_topic_score_codex":0.0015009892,"about_ca_topic_score_gemma":0.002255423,"teacher_disagreement_score":0.0015009892,"about_ca_system_score_codex":0.00064683484,"about_ca_system_score_gemma":0.0008597596,"threshold_uncertainty_score":0.004693091},"labels":[],"label_agreement":null},{"id":"W2005591001","doi":"10.1109/tvt.2013.2288354","title":"Pricing and Revenue Maximization for Battery Charging Services in PHEV Markets","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"University of Victoria","funders":"","keywords":"Monopoly; Revenue; Battery (electricity); Quality of service; Monetization; Profit maximization; Service quality; Dynamic pricing; Service (business); Computer science; Mathematical optimization; Business; Operations research; Telecommunications; Microeconomics; Profit (economics); Engineering; Economics; Finance; Marketing","score_opus":0.002753676770305965,"score_gpt":0.17802791578061938,"score_spread":0.17527423901031342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005591001","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":[0.18653281,0.0018942974,0.781209,0.0016251408,0.000120761055,0.00011387625,0.000085156564,0.000101621874,0.028317316],"genre_scores_gemma":[0.98210955,0.00078606856,0.01235965,0.00007675243,0.0000873153,0.00004171891,0.00002076501,0.000029909483,0.0044882563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989127,0.00063918356,0.00002221092,0.00008987405,0.000133551,0.0002024196],"domain_scores_gemma":[0.9984596,0.0011218863,0.00013397366,0.0000471839,0.00013291651,0.00010441595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019158726,0.0008058743,0.00115993,0.0005793149,0.00058175414,0.0022574586,0.0014011466,0.0013050733,0.0028672349],"category_scores_gemma":[0.0056106215,0.0005203913,0.001100848,0.00065652485,0.0018818304,0.0037404562,0.0010619496,0.0016586232,0.00029671655],"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":[0.00013233305,0.0001290978,0.0004613115,0.0001598249,0.000049521692,0.00033876256,0.00020587198,0.4196968,0.003872393,0.5609072,0.0012960888,0.012750727],"study_design_scores_gemma":[0.0000205971,0.000052883228,0.00018050782,0.000011203705,0.000011502078,0.00007730394,0.000068285255,0.8954059,0.00046170727,0.10287571,0.00081754144,0.000016988775],"about_ca_topic_score_codex":0.0021134575,"about_ca_topic_score_gemma":0.0010807856,"teacher_disagreement_score":0.0028672349,"about_ca_system_score_codex":0.0019433803,"about_ca_system_score_gemma":0.00115811,"threshold_uncertainty_score":0.014100254},"labels":[],"label_agreement":null},{"id":"W2006502493","doi":"10.1109/tvt.2014.2366911","title":"On the Accuracy of the High-SNR Approximation of the Differential Entropy of Signals in Additive Gaussian Noise: Real and Complex Cases","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":1,"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","keywords":"Mathematics; Gaussian noise; Additive white Gaussian noise; Rayleigh fading; Taylor's theorem; Transmitter; Gaussian; Algorithm; Signal-to-noise ratio (imaging); Piecewise; Taylor series; Fading; Applied mathematics; White noise; Mathematical analysis; Computer science; Telecommunications; Channel (broadcasting); Statistics; Physics; Decoding methods","score_opus":0.011775196910045324,"score_gpt":0.2277354517383298,"score_spread":0.21596025482828446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006502493","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":[0.13233744,0.0040892772,0.83866495,0.0020890695,0.0002672701,0.000040091414,0.00015349025,0.00037412686,0.021984262],"genre_scores_gemma":[0.9491812,0.0021436552,0.04566869,0.00022759486,0.0001763189,0.000045825826,0.0000995463,0.00016819718,0.0022890212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976209,0.0010950676,0.00009973866,0.00021222682,0.00073582353,0.00023628153],"domain_scores_gemma":[0.951315,0.042945765,0.0015284639,0.002559145,0.0013238058,0.00032785744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008195732,0.00096965174,0.00079379376,0.0016751392,0.0006581744,0.0019410648,0.0015018256,0.0012586849,0.0014814585],"category_scores_gemma":[0.060300507,0.00035562573,0.0005559299,0.0008654329,0.0054136715,0.004035026,0.0020350832,0.0023364516,0.00043105218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029003905,0.00006803015,0.0035964772,0.00028492033,0.00005218933,0.00056481786,0.00043384216,0.6421052,0.0053178756,0.32101783,0.0011336402,0.02513517],"study_design_scores_gemma":[0.000006978571,0.000028889122,0.00070089824,0.000071476374,0.000008801597,0.00015584326,0.000046413214,0.9355704,0.002168351,0.06063616,0.00058044057,0.000025259009],"about_ca_topic_score_codex":0.0025281468,"about_ca_topic_score_gemma":0.001291235,"teacher_disagreement_score":0.008195732,"about_ca_system_score_codex":0.0014139136,"about_ca_system_score_gemma":0.0007409023,"threshold_uncertainty_score":0.043343663},"labels":[],"label_agreement":null},{"id":"W2006991316","doi":"10.1109/tvt.2011.2176969","title":"$k$-Connectivity Analysis of One-Dimensional Linear VANETs","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Vehicular ad hoc network; Computer science; Wireless ad hoc network; Computer network; Algorithm; Telecommunications","score_opus":0.017208021674383074,"score_gpt":0.21023467649323896,"score_spread":0.1930266548188559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006991316","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":[0.25814515,0.0024169898,0.6952463,0.0017815665,0.000113010814,0.0001463388,0.0010346726,0.0002906809,0.04082536],"genre_scores_gemma":[0.97614276,0.0015981775,0.015408767,0.00014979692,0.00008759153,0.000101549434,0.00067094574,0.000052901003,0.005787459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994825,0.0001501878,0.000023964092,0.00011852044,0.00011002781,0.00011484996],"domain_scores_gemma":[0.9978277,0.0011122588,0.0003878377,0.00007348038,0.00043175617,0.00016681232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005933707,0.0006998742,0.0005286212,0.0014393218,0.0007471538,0.0012785479,0.0014616179,0.00075966073,0.0044820826],"category_scores_gemma":[0.004298437,0.00036322407,0.00064441696,0.0013448001,0.0012121969,0.0025952465,0.0015629192,0.00089594594,0.00047369988],"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":[0.00016327424,0.00005019011,0.0043099304,0.00018211015,0.000059643517,0.00042415288,0.00022368142,0.7763441,0.002060433,0.19267951,0.0046024895,0.018900482],"study_design_scores_gemma":[0.0000061755172,0.000036237045,0.00085083477,0.000023619325,0.000014784854,0.00014997824,0.00014603598,0.9578016,0.00039629027,0.039279915,0.0012764871,0.000018068955],"about_ca_topic_score_codex":0.0059110774,"about_ca_topic_score_gemma":0.0027772195,"teacher_disagreement_score":0.0059110774,"about_ca_system_score_codex":0.0012374936,"about_ca_system_score_gemma":0.0004345607,"threshold_uncertainty_score":0.014994085},"labels":[],"label_agreement":null},{"id":"W2007499756","doi":"10.1109/tvt.2015.2410798","title":"Variable-Bit-Rate Transmission Schedule Generation in Green Vehicular Roadside Units","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","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":"McMaster University","funders":"","keywords":"Transmission (telecommunications); Schedule; Computer science; Bit rate; Electrical engineering; Engineering; Telecommunications; Electronic engineering; Computer network","score_opus":0.02101124385923961,"score_gpt":0.2172528124714678,"score_spread":0.1962415686122282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007499756","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":[0.2017203,0.00023502912,0.78993016,0.0002795727,0.00006177638,0.00010507243,0.00025766954,0.00069207675,0.0067184176],"genre_scores_gemma":[0.93125355,0.00014886653,0.06608709,0.000052206207,0.000016606095,0.000052312662,0.00018148328,0.00008262865,0.002125275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995049,0.0001499513,0.000015948623,0.00009844143,0.00008996147,0.00014074455],"domain_scores_gemma":[0.99920124,0.00042107148,0.00012624823,0.00008231692,0.00011515001,0.000053903572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067274633,0.00044183797,0.00044578835,0.00031871584,0.00035718,0.0007137783,0.00085107115,0.00039170482,0.0014616721],"category_scores_gemma":[0.0018377458,0.00031884803,0.00034187696,0.00057173567,0.00054693734,0.000817932,0.00044552833,0.00055687333,0.00019233293],"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":[0.00006708013,0.000020867517,0.00028459303,0.00002471372,0.000008519535,0.00006876001,0.00003936456,0.967885,0.002136144,0.0158041,0.00086450577,0.012796378],"study_design_scores_gemma":[0.0000063164534,0.00001905035,0.000091641865,0.0000023845448,0.0000034782915,0.000013514379,0.00002204352,0.9929946,0.0011010289,0.005141146,0.00060082437,0.000003994374],"about_ca_topic_score_codex":0.0093249595,"about_ca_topic_score_gemma":0.010052573,"teacher_disagreement_score":0.0093249595,"about_ca_system_score_codex":0.001603289,"about_ca_system_score_gemma":0.0012782308,"threshold_uncertainty_score":0.018541396},"labels":[],"label_agreement":null},{"id":"W2007523487","doi":"10.1109/tvt.2014.2350498","title":"Analysis of Spectrum Efficiency and Energy Efficiency of Heterogeneous Wireless Networks with Intra-/Inter-RAT Offloading","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Heterogeneous network; Quality of service; Computer science; Cellular network; Spectral efficiency; Efficient energy use; Base station; Wireless network; Mathematical optimization; Energy consumption; Computer network; Wireless; Engineering; Channel (broadcasting); Mathematics; Telecommunications; Electrical engineering","score_opus":0.0027804419109131225,"score_gpt":0.17832474277385182,"score_spread":0.1755443008629387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007523487","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":[0.35583666,0.00094708765,0.6258283,0.0003247616,0.000024250505,0.00005835263,0.000094468676,0.00007561639,0.016810436],"genre_scores_gemma":[0.9917613,0.00026901846,0.006908574,0.000021961745,0.000008638138,0.00002176031,0.000019334097,0.000012321866,0.0009772027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995609,0.00015276288,0.0000110443025,0.000055354656,0.00012372271,0.00009623468],"domain_scores_gemma":[0.9991387,0.0005743485,0.00011357583,0.00004591102,0.00009932662,0.000028007411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089146814,0.0007645877,0.0004602423,0.00051700877,0.0002517591,0.00089893746,0.0005384912,0.0005298374,0.0008636194],"category_scores_gemma":[0.0025067802,0.00023340608,0.0004301085,0.00065159326,0.0007018794,0.0009885648,0.00058699027,0.0003695778,0.00010475273],"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":[0.000025766367,0.000017946428,0.0006788353,0.000023330735,0.000016417836,0.00007424491,0.000016777756,0.98036855,0.003263407,0.010871962,0.00010262822,0.004540091],"study_design_scores_gemma":[0.0000010829299,0.000012709636,0.00037137905,0.0000029227372,0.0000046525115,0.000012801943,0.0000136853205,0.9970247,0.0004535276,0.0020099338,0.00009011645,0.0000024204312],"about_ca_topic_score_codex":0.0022420485,"about_ca_topic_score_gemma":0.0018857331,"teacher_disagreement_score":0.0022420485,"about_ca_system_score_codex":0.0012275465,"about_ca_system_score_gemma":0.0004884129,"threshold_uncertainty_score":0.008906484},"labels":[],"label_agreement":null},{"id":"W2008494564","doi":"10.1109/tvt.2014.2320928","title":"On the Capacity of Iteratively Estimated Channels Using LMMSE Estimators","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":10,"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 Victoria","funders":"","keywords":"Channel (broadcasting); Estimator; Fading; Channel capacity; Detector; Algorithm; Minimum mean square error; Iterative method; Decoding methods; Computer science; Mathematics; Statistics; Control theory (sociology); Mathematical optimization; Telecommunications; Artificial intelligence","score_opus":0.028924245319860143,"score_gpt":0.2567228840128471,"score_spread":0.22779863869298694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008494564","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":[0.030150976,0.0009678849,0.9583159,0.00035862118,0.000031461826,0.00005084022,0.0001575761,0.00032080783,0.00964593],"genre_scores_gemma":[0.86963403,0.0024448847,0.12254118,0.00020820131,0.00013978773,0.0003367677,0.000360066,0.00026719255,0.0040679276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975368,0.001132992,0.000072294846,0.0002709342,0.0006235775,0.00036335684],"domain_scores_gemma":[0.9720472,0.024546228,0.00081129436,0.0010781196,0.0014031264,0.000113983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034630564,0.0014232675,0.0010614418,0.0014908414,0.0006635946,0.0020500948,0.0011638658,0.0014893281,0.003056391],"category_scores_gemma":[0.03734845,0.0006336337,0.0005814678,0.0010773938,0.003414771,0.003257979,0.0021922032,0.0018750009,0.00063207455],"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":[0.000105134815,0.0000226226,0.00044745216,0.00012415442,0.000029826255,0.00011961,0.00016691498,0.90614176,0.0026283916,0.072204284,0.00057127594,0.01743858],"study_design_scores_gemma":[0.000006622045,0.000030862535,0.00020709608,0.00007072817,0.000009905209,0.00006278604,0.000025430933,0.9755687,0.0034586396,0.020035755,0.0004976885,0.000025813926],"about_ca_topic_score_codex":0.0048197554,"about_ca_topic_score_gemma":0.0026109705,"teacher_disagreement_score":0.0048197554,"about_ca_system_score_codex":0.0020563584,"about_ca_system_score_gemma":0.002056469,"threshold_uncertainty_score":0.0183146},"labels":[],"label_agreement":null},{"id":"W2008506118","doi":"10.1109/tvt.2014.2302676","title":"Optimal Sizing of the Battery Unit in a Plug-in Electric Vehicle","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":75,"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 Waterloo","funders":"","keywords":"Sizing; Battery (electricity); Driving cycle; Automotive engineering; Electric vehicle; Energy storage; Engineering; Battery pack; Dimensioning; Metaheuristic; Computer science; Power (physics); Algorithm","score_opus":0.009451369829450908,"score_gpt":0.23112284595978538,"score_spread":0.22167147613033447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008506118","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":[0.26440445,0.0013608066,0.6982993,0.00042350008,0.00016047031,0.00033205573,0.00050165225,0.0006312215,0.033886567],"genre_scores_gemma":[0.9234992,0.00034458342,0.073029436,0.00005771674,0.00001716244,0.00016656275,0.00017767922,0.000085762134,0.002621871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998141,0.00006140964,0.000010157654,0.00003846914,0.00004652285,0.000029462475],"domain_scores_gemma":[0.99979955,0.000107002794,0.000033384487,0.000013487087,0.00003162565,0.00001498992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036465214,0.0010530927,0.0008197934,0.00052628916,0.00031805746,0.0012119684,0.00066251174,0.00068095466,0.0021611648],"category_scores_gemma":[0.0010431071,0.0005941403,0.00047590537,0.0005695992,0.000427158,0.0009090989,0.00040005485,0.0005974928,0.00038331334],"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":[0.00006903536,0.00003733759,0.00032374484,0.0001046916,0.00001791959,0.00007208267,0.000029797804,0.96907896,0.0054689706,0.0024970393,0.0006185343,0.021681989],"study_design_scores_gemma":[0.000016727097,0.00013167413,0.0004298909,0.000015081295,0.000022319658,0.000046675294,0.000060139642,0.991994,0.0027830724,0.0033926868,0.0010990581,0.000008626497],"about_ca_topic_score_codex":0.0027609605,"about_ca_topic_score_gemma":0.0035282047,"teacher_disagreement_score":0.0027609605,"about_ca_system_score_codex":0.0007673428,"about_ca_system_score_gemma":0.001104706,"threshold_uncertainty_score":0.0072298646},"labels":[],"label_agreement":null},{"id":"W2009431782","doi":"10.1109/tvt.2011.2172230","title":"Queuing Performance of Multichannel S-ALOHA Systems With Correlated Arrivals","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","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":"University of British Columbia","funders":"","keywords":"Aloha; Computer science; Retransmission; Network packet; Queueing theory; Queue; Markov process; Queue management system; Throughput; Real-time computing; Telecommunications link; Computer network; Markov chain; Quality of service; Random access; Capture effect; Collision; Mathematics; Statistics; Telecommunications","score_opus":0.027692594890610732,"score_gpt":0.22781568901019852,"score_spread":0.20012309411958779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009431782","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":[0.88574606,0.0005398223,0.11090226,0.000191576,0.000058810816,0.000052465948,0.000054668708,0.00024325316,0.0022111402],"genre_scores_gemma":[0.99691963,0.00007933285,0.0026264715,0.000021029913,0.0000111768295,0.000012140552,0.000009748512,0.000007578028,0.00031291225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861634,0.00041663725,0.000076311844,0.00023042447,0.00033165116,0.00032863993],"domain_scores_gemma":[0.9929121,0.004580417,0.0007303271,0.00035295438,0.0011729855,0.0002511702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021328817,0.00072290556,0.0010198375,0.0006531429,0.0008749723,0.0012631225,0.00083726103,0.00084609597,0.00096916454],"category_scores_gemma":[0.0065278625,0.0003819819,0.000471235,0.00079751003,0.0012151136,0.0014272912,0.0009545039,0.0006518439,0.00018814963],"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":[0.0006035766,0.00014998655,0.006040157,0.000108088774,0.00010605436,0.0003267053,0.00033874923,0.95662963,0.016728373,0.0062431674,0.00029396935,0.012431496],"study_design_scores_gemma":[0.000018981013,0.00021520955,0.00090555294,0.0000052586815,0.000025481675,0.00006509866,0.00008436267,0.99579644,0.0015752037,0.001228577,0.00005890115,0.000020982392],"about_ca_topic_score_codex":0.005443678,"about_ca_topic_score_gemma":0.002844922,"teacher_disagreement_score":0.005443678,"about_ca_system_score_codex":0.0015615759,"about_ca_system_score_gemma":0.0014009778,"threshold_uncertainty_score":0.011330128},"labels":[],"label_agreement":null},{"id":"W2010769618","doi":"10.1109/tvt.2015.2392853","title":"Performance Analysis and Optimization of Multiselective Scheme for Cooperative Sensing in Fading Channels","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fusion center; Rayleigh fading; False alarm; Cognitive radio; Independent and identically distributed random variables; Fading; Computer science; Signal-to-noise ratio (imaging); Algorithm; Scheme (mathematics); Selection (genetic algorithm); Statistical power; Detection theory; Electronic engineering; Mathematics; Statistics; Telecommunications; Random variable; Engineering; Wireless; Decoding methods; Artificial intelligence; Detector","score_opus":0.01637456078914839,"score_gpt":0.24363582663921707,"score_spread":0.22726126585006867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010769618","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":[0.16214305,0.0010971052,0.8317617,0.00020930133,0.00003514954,0.00007557474,0.000048819576,0.00021735893,0.004411937],"genre_scores_gemma":[0.96893454,0.00031597508,0.030259818,0.00003477233,0.00001464564,0.000028249437,0.000020067608,0.000007998184,0.00038397676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986174,0.000422564,0.000060440347,0.00022299137,0.0004467125,0.00022984772],"domain_scores_gemma":[0.9978537,0.0010936193,0.0003010752,0.0002453499,0.00041019835,0.00009604705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013223265,0.0008898557,0.0007521313,0.0004777229,0.00050315616,0.0007757705,0.0010219539,0.0006634194,0.0007130251],"category_scores_gemma":[0.0033072755,0.00032442008,0.00045691594,0.0007098632,0.0008648896,0.0008157899,0.0010615992,0.00036262829,0.00018189478],"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":[0.000800276,0.00016412971,0.0036045352,0.00023585299,0.0001521443,0.00041320958,0.00026246192,0.7894153,0.09539584,0.0214755,0.0007192243,0.08736151],"study_design_scores_gemma":[0.000014198754,0.00024389905,0.00050975656,0.000007366771,0.000024061415,0.00019400613,0.00003020736,0.99189067,0.005034882,0.0018278193,0.00020575922,0.00001729443],"about_ca_topic_score_codex":0.001606141,"about_ca_topic_score_gemma":0.0019315354,"teacher_disagreement_score":0.001606141,"about_ca_system_score_codex":0.0006908693,"about_ca_system_score_gemma":0.0010323112,"threshold_uncertainty_score":0.006993234},"labels":[],"label_agreement":null},{"id":"W2010867273","doi":"10.1109/tvt.2012.2197769","title":"Cooperative Spectrum Sensing in Cognitive Radio Networks With Noncoherent Transmission","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":10,"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 Saskatchewan; University of Manitoba","funders":"","keywords":"Cognitive radio; Transmission (telecommunications); Decoding methods; Computer science; Fusion rules; Keying; Electronic engineering; Throughput; Energy (signal processing); Fusion center; Frequency-shift keying; Signal-to-noise ratio (imaging); Binary number; Channel (broadcasting); Fading; Telecommunications; Algorithm; Engineering; Wireless; Mathematics; Artificial intelligence; Statistics; Demodulation","score_opus":0.010853095105131386,"score_gpt":0.23239631264942934,"score_spread":0.22154321754429795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010867273","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041697174,0.001940313,0.9536895,0.00023880384,0.000062105464,0.00004862753,0.000027508717,0.00005450483,0.0022414424],"genre_scores_gemma":[0.9617173,0.0010748873,0.036022183,0.00012401435,0.00008548331,0.00010458812,0.000025318606,0.000010905662,0.0008353639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973463,0.0012085077,0.00011225468,0.00038844327,0.0007093263,0.00023518945],"domain_scores_gemma":[0.99524117,0.0036680952,0.00044663815,0.00017153061,0.00039655532,0.000075985634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035226147,0.0009832198,0.0011871883,0.0007149503,0.0006217663,0.0012851187,0.0013604726,0.001243381,0.0004255587],"category_scores_gemma":[0.008118348,0.00055627944,0.0005128781,0.0010917693,0.0015743611,0.0014687099,0.0012362358,0.0007115968,0.00010441108],"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":[0.00019090768,0.00008634781,0.000847637,0.00029642077,0.00012348022,0.00039429573,0.00031156297,0.89693826,0.004781052,0.05532884,0.00058091024,0.040120248],"study_design_scores_gemma":[0.00002164107,0.000088748864,0.00016128148,0.000010168506,0.00002116677,0.00006813793,0.000026588197,0.98326415,0.0007970061,0.015315342,0.00021214776,0.00001357266],"about_ca_topic_score_codex":0.00221228,"about_ca_topic_score_gemma":0.0017826316,"teacher_disagreement_score":0.0035226147,"about_ca_system_score_codex":0.001045717,"about_ca_system_score_gemma":0.0010055628,"threshold_uncertainty_score":0.01862961},"labels":[],"label_agreement":null},{"id":"W2013591489","doi":"10.1109/tvt.2015.2402177","title":"Vehicle-to-Vehicle Forwarding in Green Roadside Infrastructure","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Network packet; Scheduling (production processes); Telecommunications link; Variable bitrate; Computer network; Constant bitrate; Integer programming; Efficient energy use; Linear programming; Real-time computing; Greedy algorithm; Mathematical optimization; Algorithm; Engineering; Quality of service","score_opus":0.008977874689889444,"score_gpt":0.21433301542470523,"score_spread":0.20535514073481578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013591489","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":[0.29270375,0.00043945035,0.69572645,0.00024608616,0.00006241222,0.000111002795,0.00017835171,0.00095283025,0.009579681],"genre_scores_gemma":[0.9564464,0.00014086696,0.04171691,0.000027986689,0.000006904516,0.000024352712,0.000083418985,0.000037620004,0.0015155491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999798,0.000059008325,0.000004995114,0.000037305916,0.000037792022,0.0000629198],"domain_scores_gemma":[0.9997596,0.00010575184,0.000041272062,0.000030614367,0.000037472746,0.000025376425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005128151,0.00034554824,0.00033306022,0.00037693224,0.00041024483,0.0004484246,0.0005192628,0.00039403414,0.0009201212],"category_scores_gemma":[0.00068016956,0.00021544639,0.00021441968,0.0004355307,0.0004126095,0.00057285774,0.00036789684,0.00027415523,0.00013229012],"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":[0.000044997472,0.000023953997,0.00047974996,0.000015972088,0.000006939788,0.000050519557,0.000032871852,0.9700483,0.0027313505,0.007058886,0.0004972629,0.01900916],"study_design_scores_gemma":[0.0000041749017,0.000018888335,0.0001675647,0.0000014142358,0.0000034005893,0.000011151953,0.000025112915,0.9943593,0.0011921191,0.0034954373,0.0007182148,0.0000031591323],"about_ca_topic_score_codex":0.013414667,"about_ca_topic_score_gemma":0.014853891,"teacher_disagreement_score":0.013414667,"about_ca_system_score_codex":0.001183663,"about_ca_system_score_gemma":0.0014155546,"threshold_uncertainty_score":0.026673198},"labels":[],"label_agreement":null},{"id":"W2014236344","doi":"10.1109/tvt.2014.2371912","title":"A Comparative Analysis of Optimal Sizing of Battery-Only, Ultracapacitor-Only, and Battery–Ultracapacitor Hybrid Energy Storage Systems for a City Bus","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":179,"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 Waterloo","funders":"","keywords":"Sizing; Battery (electricity); Supercapacitor; Energy storage; Particle swarm optimization; Driving cycle; Electric vehicle; Automotive engineering; Engineering; Computer data storage; Computer science; Power (physics); Algorithm; Capacitance; Chemistry","score_opus":0.007165091985259753,"score_gpt":0.20811970739503577,"score_spread":0.20095461540977602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014236344","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":[0.919468,0.001334168,0.049469635,0.00026870696,0.000043363918,0.00013657869,0.00058744976,0.00034652994,0.028345577],"genre_scores_gemma":[0.99387795,0.00014861407,0.004979249,0.000011616345,0.0000039204433,0.000019175124,0.00013943929,0.0000214037,0.00079871557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974424,0.00006890919,0.000020276659,0.00003525678,0.000082661776,0.00004863255],"domain_scores_gemma":[0.9995421,0.00022254215,0.000044299068,0.000039986116,0.0001259432,0.000025089483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052279636,0.00058851874,0.000565277,0.0007251198,0.00031137426,0.00087985897,0.00038418,0.0003228136,0.0023274058],"category_scores_gemma":[0.0010158133,0.00032683686,0.00035079708,0.0006837418,0.00025047173,0.00076372124,0.00024582937,0.00027742036,0.00018070421],"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":[0.0005956872,0.00008719407,0.0029428017,0.00023615506,0.00008535312,0.000098207296,0.00006483262,0.93555063,0.013218029,0.003675749,0.0012160742,0.04222926],"study_design_scores_gemma":[0.00008335953,0.0006758868,0.009078898,0.000026116544,0.00012442634,0.00008754561,0.00029173243,0.9671039,0.017082814,0.0028280572,0.0025893876,0.000027916194],"about_ca_topic_score_codex":0.0033715712,"about_ca_topic_score_gemma":0.00744794,"teacher_disagreement_score":0.0033715712,"about_ca_system_score_codex":0.000995247,"about_ca_system_score_gemma":0.00074815954,"threshold_uncertainty_score":0.007785976},"labels":[],"label_agreement":null},{"id":"W2014320365","doi":"10.1109/tvt.2010.2062549","title":"PIS: A Practical Incentive System for Multihop Wireless Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":71,"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 Waterloo","funders":"","keywords":"Computer network; Computer science; Incentive; Payment; Network packet; Payment system; Computer security; Relay; Wireless; Wireless network; Telecommunications","score_opus":0.01941089694427826,"score_gpt":0.2810752707781586,"score_spread":0.2616643738338803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014320365","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":[0.005941255,0.00018977244,0.987905,0.00035941164,0.00021393555,0.0002784289,0.00006339726,0.0009366747,0.004112144],"genre_scores_gemma":[0.623005,0.0006003224,0.359993,0.00039882786,0.00029881138,0.0009811675,0.00022734325,0.000119630895,0.014375914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983584,0.0005198538,0.00015220692,0.00021793426,0.0005817524,0.00016984767],"domain_scores_gemma":[0.99836284,0.0005815409,0.00020934832,0.00024018437,0.00045631695,0.00014981255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025966305,0.0005964843,0.0008232747,0.000708991,0.0012571281,0.0015387732,0.0024128465,0.0012919528,0.0052856444],"category_scores_gemma":[0.0054480815,0.00037027043,0.00050341454,0.0008117928,0.0008871568,0.0025727162,0.00245455,0.0015705319,0.0012985863],"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":[0.00063069764,0.00030350513,0.0016095034,0.00065096735,0.00007988721,0.00080906064,0.0005119654,0.2173706,0.015938666,0.4784317,0.017851625,0.26581177],"study_design_scores_gemma":[0.00008078072,0.0002694481,0.0002029673,0.000034908422,0.000033981796,0.00031737305,0.00004486812,0.929488,0.0031905381,0.040808883,0.025479155,0.000049029728],"about_ca_topic_score_codex":0.001041145,"about_ca_topic_score_gemma":0.0009083196,"teacher_disagreement_score":0.0052856444,"about_ca_system_score_codex":0.0011976652,"about_ca_system_score_gemma":0.0024632637,"threshold_uncertainty_score":0.017682254},"labels":[],"label_agreement":null},{"id":"W2014371526","doi":"10.1109/tvt.2008.923669","title":"Enhanced Markov Chain Model and Throughput Analysis of the Slotted CSMA/CA for IEEE 802.15.4 Under Unsaturated Traffic Conditions","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":128,"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 Waterloo","funders":"","keywords":"Carrier sense multiple access with collision avoidance; Markov chain; Superframe; Computer network; IEEE 802.15; Throughput; Computer science; Distributed coordination function; Access control; Markov model; Network allocation vector; Markov process; Limit (mathematics); Multiple Access with Collision Avoidance for Wireless; Protocol (science); IEEE 802.11; Wireless; Wireless sensor network; Mathematics; Routing protocol","score_opus":0.012075996683136104,"score_gpt":0.2587823932782393,"score_spread":0.2467063965951032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014371526","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":[0.038317006,0.00058131857,0.9544861,0.00040363765,0.000084782885,0.000079230165,0.00022534613,0.00034035495,0.005482307],"genre_scores_gemma":[0.94236034,0.0012448417,0.050336506,0.0001433264,0.00012088402,0.00027788678,0.00026735634,0.000080680395,0.005168171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990157,0.00026435943,0.000034513927,0.00015289887,0.00031717413,0.00021531148],"domain_scores_gemma":[0.9969651,0.0019048398,0.00031737884,0.00018442322,0.00055636896,0.00007201498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015556706,0.0009095208,0.0009737483,0.00093591044,0.0007024277,0.0010462118,0.0013536117,0.0008996959,0.003386264],"category_scores_gemma":[0.0053173676,0.0005163643,0.00083731173,0.0008705897,0.0012052784,0.0021654838,0.0006313517,0.0015436228,0.0005284554],"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":[0.00005635643,0.00003402459,0.00052817585,0.000046468682,0.000025743258,0.00014506563,0.00011788039,0.9050281,0.0019075564,0.08732307,0.0006584793,0.0041290373],"study_design_scores_gemma":[0.0000039582346,0.0000075741054,0.00006877894,0.0000034370983,0.000007973777,0.0000146482835,0.0000056091885,0.9932841,0.00022156662,0.006214111,0.00016249908,0.000005648181],"about_ca_topic_score_codex":0.015970906,"about_ca_topic_score_gemma":0.0073615774,"teacher_disagreement_score":0.015970906,"about_ca_system_score_codex":0.0024872702,"about_ca_system_score_gemma":0.0027273952,"threshold_uncertainty_score":0.031755924},"labels":[],"label_agreement":null},{"id":"W2014544957","doi":"10.1109/tvt.2011.2177483","title":"Two-Stage Energy Management Control of Fuel Cell Plug-In Hybrid Electric Vehicles Considering Fuel Cell Longevity","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":145,"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","funders":"","keywords":"Proton exchange membrane fuel cell; Energy management; Controller (irrigation); Automotive engineering; Engineering; Battery (electricity); Model predictive control; Electric vehicle; Fuel efficiency; Control theory (sociology); Computer science; Energy (signal processing); Fuel cells; Control (management)","score_opus":0.011947185912376045,"score_gpt":0.215218269338707,"score_spread":0.20327108342633096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014544957","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":[0.30393124,0.00041862566,0.6829089,0.00022322718,0.00010314378,0.00014313105,0.000055244913,0.00046278237,0.011753743],"genre_scores_gemma":[0.99472356,0.00005150296,0.00391457,0.0000125875285,0.000006945934,0.000032344607,0.0000123637155,0.0000039714173,0.0012421011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999879,0.00002363456,0.0000064847873,0.000030890547,0.000039189512,0.000020768068],"domain_scores_gemma":[0.9998517,0.000053505435,0.000029868175,0.0000093372055,0.000046885565,0.000008642713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029676323,0.00061785686,0.00040449636,0.00015801695,0.0003085048,0.0007043278,0.0005935967,0.00042152966,0.0010503968],"category_scores_gemma":[0.00041091358,0.00022889569,0.0002538031,0.00012870277,0.00029025105,0.00036626225,0.00040485934,0.00039810833,0.000088005756],"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":[0.00028440106,0.00010899373,0.00080156943,0.00014839652,0.00004867533,0.000277556,0.00012871169,0.9213326,0.033394445,0.0037662704,0.0004605366,0.03924777],"study_design_scores_gemma":[0.000018246832,0.0001301897,0.00028400702,0.0000026288733,0.000010378127,0.000015948564,0.000009074262,0.99446785,0.004332213,0.00040493003,0.00031977968,0.0000047158974],"about_ca_topic_score_codex":0.004474591,"about_ca_topic_score_gemma":0.004311485,"teacher_disagreement_score":0.004474591,"about_ca_system_score_codex":0.00040491048,"about_ca_system_score_gemma":0.00051910366,"threshold_uncertainty_score":0.008897066},"labels":[],"label_agreement":null},{"id":"W2019209477","doi":"10.1109/tvt.2014.2361063","title":"Torque-Vectoring-Based Vehicle Control Robust to Driver Uncertainties","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":24,"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 Waterloo","funders":"","keywords":"CarSim; Vehicle dynamics; Control theory (sociology); Controller (irrigation); Electronic stability control; Automobile handling; Stability (learning theory); Robust control; Control engineering; Computer science; Nonlinear system; Advanced driver assistance systems; Engineering; Torque; Control system; Automotive engineering; Control (management)","score_opus":0.00452073354851892,"score_gpt":0.17862752892480965,"score_spread":0.17410679537629073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019209477","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":[0.05344387,0.00053396,0.9386064,0.0001518501,0.00012076415,0.00008026992,0.000061003393,0.0009527432,0.006049129],"genre_scores_gemma":[0.9914254,0.00011239002,0.0064907335,0.00002835014,0.000019183615,0.00005330368,0.00004342167,0.000027414868,0.0017997758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999524,0.00008855197,0.000028056395,0.00011953268,0.00014068578,0.00009924039],"domain_scores_gemma":[0.9993876,0.0001450315,0.00016756472,0.000048034337,0.00022134118,0.000030456173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090607954,0.0010771449,0.0009896113,0.00039601547,0.00043699855,0.00093624,0.0009944896,0.000581018,0.0013845644],"category_scores_gemma":[0.0010814489,0.00036203623,0.0004625769,0.0003378689,0.0007116911,0.0005279291,0.00094432844,0.0008187996,0.0003654989],"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":[0.00022511606,0.000052860523,0.000336472,0.0001954127,0.000050657036,0.000107517124,0.00015908729,0.93515825,0.013753939,0.006171161,0.0008656675,0.04292375],"study_design_scores_gemma":[0.000022712531,0.00014261864,0.000217057,0.0000073565056,0.000010581404,0.000019235236,0.000014281523,0.99611264,0.0018043004,0.00096622383,0.00067335257,0.0000096018875],"about_ca_topic_score_codex":0.007412435,"about_ca_topic_score_gemma":0.0038733094,"teacher_disagreement_score":0.007412435,"about_ca_system_score_codex":0.0005356682,"about_ca_system_score_gemma":0.0011111912,"threshold_uncertainty_score":0.01473856},"labels":[],"label_agreement":null},{"id":"W2019656374","doi":"10.1109/tvt.2005.863345","title":"Adaptive Hierarchical Modulation for Simultaneous Voice and Multiclass Data Transmission Over Fading Channels","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":94,"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":"","keywords":"Quadrature amplitude modulation; Phase-shift keying; Fading; Nakagami distribution; Transmission (telecommunications); Computer science; QAM; Bit error rate; Algorithm; Channel (broadcasting); Link adaptation; Spectral efficiency; Constellation diagram; Modulation (music); Electronic engineering; Telecommunications; Engineering","score_opus":0.018002455471859424,"score_gpt":0.26104272536774276,"score_spread":0.24304026989588334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019656374","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":[0.079622366,0.0025087844,0.91148186,0.00019213143,0.0001680765,0.00007726893,0.000066953704,0.00058640685,0.005296211],"genre_scores_gemma":[0.7602437,0.0010458181,0.2356659,0.00017577717,0.00017162082,0.00008296722,0.00010591226,0.00003068476,0.0024776019],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996966,0.000057347104,0.000018243121,0.000050379087,0.00012604789,0.000051416842],"domain_scores_gemma":[0.99957293,0.00013537289,0.000057601446,0.0001007522,0.0001124314,0.000020958498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026421493,0.00032048367,0.00025660562,0.00038024955,0.0003676826,0.00035356666,0.0005094463,0.00031542967,0.0011230487],"category_scores_gemma":[0.0006715264,0.0001163994,0.00026760908,0.00047407573,0.00031651897,0.0005957925,0.00051747094,0.00055664754,0.00031225273],"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":[0.00023261315,0.000071842805,0.0013661007,0.00035311,0.000075906384,0.00030983528,0.00040455488,0.03654852,0.39994162,0.03780526,0.002833784,0.52005684],"study_design_scores_gemma":[0.00006939818,0.0006834048,0.002984719,0.000068972615,0.00012744866,0.0011684872,0.0001620205,0.8499537,0.091444306,0.01669313,0.03654275,0.00010164407],"about_ca_topic_score_codex":0.00077054166,"about_ca_topic_score_gemma":0.001399649,"teacher_disagreement_score":0.0011230487,"about_ca_system_score_codex":0.00030183257,"about_ca_system_score_gemma":0.00028967604,"threshold_uncertainty_score":0.0037569404},"labels":[],"label_agreement":null},{"id":"W2021317438","doi":"10.1109/tvt.2009.2014843","title":"An Analytical Optimization Method for Improved Fuel Cell–Battery–Ultracapacitor Powertrain","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":66,"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 Waterloo","funders":"","keywords":"Powertrain; Battery (electricity); Topology optimization; Supercapacitor; Topology (electrical circuits); Automotive engineering; Fuel cells; Energy storage; Electric vehicle; Engineering; Network topology; Computer science; Electrical engineering; Power (physics); Capacitance; Finite element method; Torque","score_opus":0.007967993185592366,"score_gpt":0.250263529603391,"score_spread":0.24229553641779863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021317438","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":[0.0031111464,0.0004264507,0.98509544,0.0001523727,0.00006289656,0.00004706908,0.00005259556,0.00018050068,0.010871495],"genre_scores_gemma":[0.39228648,0.001998175,0.5838758,0.00021975646,0.00015907815,0.0007278376,0.00026825385,0.00041450394,0.020050187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997663,0.000072544295,0.000008980234,0.000023222934,0.00010501527,0.000023954213],"domain_scores_gemma":[0.99969316,0.00016956603,0.00002602188,0.000013381817,0.000089139525,0.000008808207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064683205,0.0009872025,0.000755614,0.0006163348,0.00044131748,0.0007720889,0.000942206,0.00065247883,0.0046207085],"category_scores_gemma":[0.0015035629,0.00052825804,0.0007424792,0.0007901667,0.0004223013,0.00060886086,0.0004973346,0.00085961336,0.0008473207],"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":[0.000008306887,0.000016162878,0.000055582128,0.000055225584,0.000010006926,0.000035539906,0.000020621577,0.9700698,0.0009479958,0.01417902,0.0010579076,0.013543807],"study_design_scores_gemma":[0.0000019370286,0.000003517877,0.0000117512445,0.000003736267,0.0000016576106,0.0000036343195,0.000002778269,0.99763644,0.00012730158,0.0012777619,0.00092778436,0.0000017617195],"about_ca_topic_score_codex":0.005939329,"about_ca_topic_score_gemma":0.0049824845,"teacher_disagreement_score":0.005939329,"about_ca_system_score_codex":0.00095905765,"about_ca_system_score_gemma":0.0014637567,"threshold_uncertainty_score":0.015457809},"labels":[],"label_agreement":null},{"id":"W2024606306","doi":"10.1109/tvt.2007.901871","title":"A Proof Toward Optimality of a Combined Rate, Power, and Cell Control Algorithm Employed in a Cellular CDMA Network","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Power control; Code division multiple access; Base station; Cellular network; Algorithm; Power (physics); Interference (communication); Flexibility (engineering); Transmitter power output; Optimal control; Spread spectrum; Computer science; Algorithm design; Mathematical optimization; Mathematics; Computer network","score_opus":0.01092364536448236,"score_gpt":0.24855418162142465,"score_spread":0.23763053625694228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024606306","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":[0.007170095,0.00039086564,0.97701615,0.0011148624,0.00018940598,0.00011142454,0.000053343614,0.00013457565,0.013819303],"genre_scores_gemma":[0.28193393,0.0011374543,0.7087341,0.0010026111,0.000488884,0.00043441597,0.00011529423,0.00019907554,0.00595415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970836,0.00079546863,0.00016797126,0.0004732229,0.0010871958,0.000392522],"domain_scores_gemma":[0.98820156,0.008797405,0.00047806374,0.0006779303,0.0016533082,0.00019162649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042652157,0.0014809128,0.00091207394,0.00097049965,0.0014726578,0.002462542,0.0014948046,0.002021198,0.0041847234],"category_scores_gemma":[0.021910934,0.00091523567,0.00091126125,0.00088086346,0.004002414,0.002868285,0.002365532,0.0043774107,0.0011880464],"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":[0.00016815092,0.00016588945,0.0011515373,0.00030972404,0.00007920089,0.0003200611,0.00044554478,0.21285218,0.010150556,0.69670016,0.010578303,0.06707877],"study_design_scores_gemma":[0.0001180003,0.0002637075,0.0004594772,0.00016277333,0.000053142383,0.00048889755,0.0001041345,0.7625244,0.011294372,0.21065381,0.013814723,0.00006253313],"about_ca_topic_score_codex":0.0024510825,"about_ca_topic_score_gemma":0.0014438852,"teacher_disagreement_score":0.0042652157,"about_ca_system_score_codex":0.0016374149,"about_ca_system_score_gemma":0.0027826685,"threshold_uncertainty_score":0.022556901},"labels":[],"label_agreement":null},{"id":"W2024666521","doi":"10.1109/tvt.2011.2181436","title":"Blind Recursive Subspace-Based Identification of Time-Varying Wideband MIMO Channels","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; InterDigital (Canada)","funders":"","keywords":"Orthogonal frequency-division multiplexing; MIMO; Algorithm; Computer science; Channel (broadcasting); Wideband; Signal subspace; MIMO-OFDM; Subspace topology; Signal-to-noise ratio (imaging); Precoding; Control theory (sociology); Electronic engineering; Noise (video); Mathematics; Telecommunications; Engineering; Artificial intelligence","score_opus":0.023987166516635836,"score_gpt":0.249079272841104,"score_spread":0.2250921063244682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024666521","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":[0.0065097786,0.00006491065,0.99293476,0.000018613448,0.000008229373,0.000008659608,0.000008317967,0.0001949069,0.00025189942],"genre_scores_gemma":[0.25955397,0.00024538723,0.7374977,0.00006389708,0.000029057634,0.00009333099,0.00011910663,0.000063794665,0.00233379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996567,0.00011615199,0.00001759612,0.00005005984,0.0001227637,0.000036696692],"domain_scores_gemma":[0.99942553,0.0002762193,0.000071168826,0.0000922052,0.00011625356,0.000018699584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043286497,0.0005168774,0.0006131571,0.0002906393,0.00030079094,0.0004560183,0.00056755636,0.0006576185,0.00074693776],"category_scores_gemma":[0.0018724244,0.00025984953,0.00043486984,0.00042741527,0.0004499652,0.00078071817,0.00062536576,0.0006548146,0.0005065968],"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":[0.00018371583,0.00008173188,0.0006878318,0.00009852665,0.00006734465,0.000093099545,0.00017947836,0.64882743,0.040213082,0.015797788,0.0009970779,0.29277292],"study_design_scores_gemma":[0.0000057471602,0.00002995226,0.0001050648,0.0000025099223,0.000004699669,0.000035828336,0.0000056573626,0.9931763,0.004720667,0.0014836031,0.00041981915,0.000010238945],"about_ca_topic_score_codex":0.0018854638,"about_ca_topic_score_gemma":0.0027271074,"teacher_disagreement_score":0.0018854638,"about_ca_system_score_codex":0.00024159394,"about_ca_system_score_gemma":0.0006534505,"threshold_uncertainty_score":0.003749013},"labels":[],"label_agreement":null},{"id":"W2025094375","doi":"10.1109/tvt.2011.2174464","title":"Aggregate Interference and Capacity-Outage Analysis in a Cognitive Radio Network","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transmitter; Nakagami distribution; Interference (communication); Rayleigh fading; Cognitive radio; Computer science; Fading; Co-channel interference; Electronic engineering; Telecommunications; Computer network; Wireless; Engineering; Channel (broadcasting)","score_opus":0.022493112971585526,"score_gpt":0.22677389472934648,"score_spread":0.20428078175776096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025094375","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":[0.19482742,0.001749626,0.7937503,0.00034682843,0.000047341964,0.00003251523,0.00016167443,0.00034436805,0.008739933],"genre_scores_gemma":[0.99264246,0.0005615812,0.0059879464,0.00004511324,0.000045929413,0.00003639093,0.00004525954,0.000035166035,0.0006001321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979724,0.0006456501,0.00006536066,0.00017413926,0.00072993577,0.0004125087],"domain_scores_gemma":[0.98973256,0.007862763,0.00084196834,0.0004418742,0.00097124337,0.00014960184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024910506,0.0012591543,0.0011444554,0.0014054485,0.0006999779,0.0014012961,0.0013660626,0.00080390973,0.0010234138],"category_scores_gemma":[0.0130009325,0.00048998976,0.00066237134,0.0018189143,0.0017982406,0.0020582285,0.0013946136,0.0009126159,0.00021643692],"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":[0.000066895744,0.000021110109,0.0010277499,0.00006682515,0.000038750786,0.000213762,0.00013203247,0.9734909,0.001726188,0.017465442,0.00026413708,0.005486298],"study_design_scores_gemma":[0.000002886395,0.000025138794,0.00040943688,0.000007218875,0.000020753008,0.000094464376,0.000040989707,0.9929663,0.00054342713,0.0057293335,0.00014914476,0.00001091069],"about_ca_topic_score_codex":0.007113874,"about_ca_topic_score_gemma":0.0029613697,"teacher_disagreement_score":0.007113874,"about_ca_system_score_codex":0.0018798243,"about_ca_system_score_gemma":0.0010952903,"threshold_uncertainty_score":0.014144957},"labels":[],"label_agreement":null},{"id":"W2025119051","doi":"10.1109/tvt.2014.2322072","title":"Multi-Item Spectrum Auction for Recall-Based Cognitive Radio Networks With Multiple Heterogeneous Secondary Users","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":60,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Computer science; Spectrum auction; Auction algorithm; Frequency allocation; Quality of service; Revenue; Auction theory; Payment; Revenue equivalence; Mathematical optimization; Computer network; Common value auction; Telecommunications; Microeconomics; Mathematics; Economics","score_opus":0.027905798246995826,"score_gpt":0.29062233053852526,"score_spread":0.2627165322915294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025119051","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":[0.06978412,0.00039211035,0.9257112,0.00015603246,0.000068339854,0.00015584256,0.00003746258,0.00011842395,0.0035764861],"genre_scores_gemma":[0.94920355,0.00014600808,0.04800407,0.000067087116,0.000050223607,0.00010016315,0.000052126314,0.00001944963,0.0023573018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99691486,0.0013214627,0.00013642253,0.0005785422,0.0005525075,0.00049623876],"domain_scores_gemma":[0.9970312,0.0014807141,0.00046200506,0.00037085038,0.00040750753,0.00024762563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038321158,0.0011909412,0.00225145,0.0006055096,0.0010587061,0.0022611334,0.0036997683,0.001686444,0.0017634588],"category_scores_gemma":[0.005644469,0.00065098866,0.0013069946,0.0009870582,0.001491979,0.0026736748,0.0016478003,0.0014426028,0.00026520982],"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":[0.0004114392,0.00022053857,0.0013900198,0.00016879167,0.00022286794,0.0009455479,0.00021935409,0.90084594,0.00415652,0.06817182,0.0010374077,0.022209844],"study_design_scores_gemma":[0.000048533184,0.0001082725,0.00018997306,0.000006022638,0.000032053522,0.0002393368,0.00003899122,0.98552424,0.00043694532,0.012828315,0.000525938,0.000021351292],"about_ca_topic_score_codex":0.002587802,"about_ca_topic_score_gemma":0.0017778415,"teacher_disagreement_score":0.0038321158,"about_ca_system_score_codex":0.0016317198,"about_ca_system_score_gemma":0.0012573759,"threshold_uncertainty_score":0.020266414},"labels":[],"label_agreement":null},{"id":"W2025342085","doi":"10.1109/tvt.2013.2263509","title":"Performance of Differential Amplify-and-Forward Relaying in Multinode Wireless Communications","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Rayleigh fading; Pairwise error probability; Bit error rate; Wireless; Signal-to-noise ratio (imaging); Autoregressive model; Autocorrelation; Fading; Computer science; Phase-shift keying; Electronic engineering; Algorithm; Channel (broadcasting); Mathematics; Engineering; Telecommunications; Statistics","score_opus":0.020994264308093813,"score_gpt":0.25114818193188193,"score_spread":0.23015391762378812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025342085","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":[0.9384146,0.0008169317,0.057824776,0.00013410731,0.000016781447,0.000013327455,0.000054684107,0.000095498115,0.0026292983],"genre_scores_gemma":[0.9962186,0.0001870348,0.0031796554,0.000009852353,0.000004681222,0.000004798467,0.000021907317,0.0000045047386,0.00036894763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936,0.00023144872,0.00003345464,0.00007937119,0.000195468,0.00010017014],"domain_scores_gemma":[0.9969975,0.0020832634,0.00030248394,0.000152096,0.00040509395,0.000059666654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013647375,0.00071622524,0.00047187912,0.00046999686,0.00039940726,0.000569651,0.00039986364,0.0006797062,0.00048842153],"category_scores_gemma":[0.0037152588,0.00016606807,0.00018432949,0.0004618435,0.00060893485,0.00065006857,0.0007615301,0.00033395115,0.000118545024],"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":[0.00080572406,0.00009944768,0.009706485,0.00017610812,0.00010844183,0.0005872298,0.0003763035,0.86889684,0.07032389,0.0056562163,0.00024025509,0.043023087],"study_design_scores_gemma":[0.000015746824,0.0006708126,0.0033295203,0.000015049618,0.000044166725,0.00036700562,0.00008560686,0.96990037,0.023477178,0.0017989632,0.00026587117,0.000029728728],"about_ca_topic_score_codex":0.0019583195,"about_ca_topic_score_gemma":0.0019228185,"teacher_disagreement_score":0.0019583195,"about_ca_system_score_codex":0.0005631515,"about_ca_system_score_gemma":0.00036492076,"threshold_uncertainty_score":0.0072175264},"labels":[],"label_agreement":null},{"id":"W2026656589","doi":"10.1109/tvt.2015.2395382","title":"LDPC Decoding Over Nonbinary Queue-Based Burst Noise Channels","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Low-density parity-check code; Decoding methods; Algorithm; Computer science; Fading; Interleaving; Rayleigh fading; Channel (broadcasting); Mathematics; Electronic engineering; Telecommunications; Engineering","score_opus":0.026232647000213372,"score_gpt":0.2697630756069862,"score_spread":0.24353042860677282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026656589","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":[0.22939196,0.0004051931,0.76618564,0.00021115773,0.000047263584,0.00007894611,0.00009789723,0.00030188018,0.0032799628],"genre_scores_gemma":[0.96452856,0.00023894558,0.033571217,0.000037752314,0.000012596478,0.00003676345,0.000045977416,0.00002716481,0.0015010514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882215,0.00035365042,0.000056440924,0.00012588454,0.0004168145,0.00022503971],"domain_scores_gemma":[0.99531674,0.0032129763,0.0005084268,0.00026723067,0.000591905,0.00010264766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013847722,0.00077246164,0.0008117727,0.0005947092,0.00084212463,0.0012563481,0.0011865224,0.00086256175,0.00068162504],"category_scores_gemma":[0.004539242,0.0003272525,0.00029830923,0.0010677787,0.0013092584,0.001307637,0.000873557,0.00094319135,0.00016050097],"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":[0.00022013964,0.000055915607,0.00094852917,0.00007952881,0.000029963623,0.00027273592,0.0001573237,0.93125397,0.0078447815,0.04719153,0.00027803428,0.011667615],"study_design_scores_gemma":[0.000004872476,0.000017621252,0.000031842672,0.0000028201937,0.0000024933306,0.000019453935,0.000006833938,0.9962369,0.0013564145,0.0022681854,0.00004891601,0.0000036016272],"about_ca_topic_score_codex":0.009107538,"about_ca_topic_score_gemma":0.010533582,"teacher_disagreement_score":0.009107538,"about_ca_system_score_codex":0.0024861062,"about_ca_system_score_gemma":0.0031143008,"threshold_uncertainty_score":0.018109024},"labels":[],"label_agreement":null},{"id":"W2028189358","doi":"10.1109/tvt.2006.878718","title":"Dynamic Downlink OFDM Resource Allocation With Interference Mitigation and Macro Diversity for Multimedia Services in Wireless Cellular Systems","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","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":"McGill University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Spectral efficiency; Subcarrier; Telecommunications link; Computer network; Resource allocation; Wireless; Multiplexing; Quality of service; Interference (communication); Bandwidth (computing); Electronic engineering; Telecommunications; Engineering; Channel (broadcasting)","score_opus":0.002760057432909409,"score_gpt":0.17366022605927298,"score_spread":0.17090016862636356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028189358","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":[0.15585962,0.00302288,0.83275974,0.00024411544,0.00007241015,0.00003014485,0.000032150965,0.00024481767,0.007734079],"genre_scores_gemma":[0.93270856,0.0006611512,0.06520566,0.00007579597,0.00007826833,0.000023492592,0.000023792603,0.000015553058,0.0012077051],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998385,0.00005710941,0.0000056053414,0.000016068894,0.000049749236,0.000033056487],"domain_scores_gemma":[0.9998074,0.00009360075,0.00002249563,0.000028340028,0.000036178753,0.00001194441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023666683,0.0002856279,0.00027940774,0.00024742316,0.00034490088,0.00038684314,0.00030234724,0.00018774335,0.0004535146],"category_scores_gemma":[0.00081910274,0.00009764442,0.000106003376,0.00029605135,0.00024508985,0.00031688978,0.0002909262,0.00021102144,0.00012838481],"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":[0.00028046657,0.00015367568,0.0031677769,0.00010499148,0.00008491359,0.00024957754,0.00008863075,0.38223192,0.059792243,0.027324706,0.0023142996,0.5242068],"study_design_scores_gemma":[0.000018024262,0.00014700323,0.0009362179,0.000009302601,0.000032031858,0.00022261737,0.000032930522,0.97563976,0.015472948,0.0037478318,0.003728694,0.0000126714],"about_ca_topic_score_codex":0.000767224,"about_ca_topic_score_gemma":0.0016967659,"teacher_disagreement_score":0.000767224,"about_ca_system_score_codex":0.00036174143,"about_ca_system_score_gemma":0.0003296184,"threshold_uncertainty_score":0.002624631},"labels":[],"label_agreement":null},{"id":"W2030064374","doi":"10.1109/tvt.2012.2200001","title":"Modeling and Delay Analysis of Intermittently Connected Roadside Communication Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":45,"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","funders":"","keywords":"Bundle; Queueing theory; Computer network; Computer science; Context (archaeology); Network packet; The Internet; Distributed computing","score_opus":0.015238920735429644,"score_gpt":0.23832452046031544,"score_spread":0.22308559972488579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030064374","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":[0.24144101,0.00096226804,0.7473679,0.0006414679,0.00006256091,0.000076614175,0.00033580593,0.000290445,0.008821872],"genre_scores_gemma":[0.98862004,0.00046991158,0.008101473,0.000030072975,0.000026543914,0.000045801527,0.00009861395,0.000027258102,0.0025803468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997367,0.00006626028,0.000011783746,0.000062804975,0.00006962706,0.00005278994],"domain_scores_gemma":[0.9992549,0.0003742013,0.00017508255,0.000031888154,0.00012708758,0.00003678879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004705435,0.0006452663,0.00048439013,0.00065801,0.00041962872,0.0008141296,0.0010139018,0.0007849565,0.0010343214],"category_scores_gemma":[0.0020947154,0.00033857572,0.0003899115,0.0005961674,0.00065855373,0.0009262471,0.0005406417,0.00053296995,0.00018661842],"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":[0.000011176308,0.0000051990974,0.000478065,0.000009479449,0.000005290453,0.00004338417,0.00002912292,0.9905691,0.000504749,0.0071337055,0.00013762461,0.0010730949],"study_design_scores_gemma":[6.6668593e-7,0.0000029418031,0.00005508456,8.56646e-7,0.0000012188873,0.0000051960815,0.0000049083687,0.99870825,0.000048291557,0.0010744027,0.0000967753,0.0000013583672],"about_ca_topic_score_codex":0.012724726,"about_ca_topic_score_gemma":0.0056088953,"teacher_disagreement_score":0.012724726,"about_ca_system_score_codex":0.0017757897,"about_ca_system_score_gemma":0.0007164061,"threshold_uncertainty_score":0.025301337},"labels":[],"label_agreement":null},{"id":"W2032294805","doi":"10.1109/tvt.2014.2363791","title":"Asymptotic Throughput Capacity Analysis of VANETs Exploiting Mobility Diversity","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":44,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors Corporation","keywords":"Throughput; Computer network; Computer science; Wireless ad hoc network; Network packet; Vehicular ad hoc network; Relay; Telecommunications link; Wireless; Telecommunications","score_opus":0.011451320854056165,"score_gpt":0.19698642875932987,"score_spread":0.1855351079052737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032294805","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":[0.16834451,0.0045948355,0.7787609,0.0011795642,0.00015097435,0.00010044312,0.00038645393,0.0008635338,0.045618717],"genre_scores_gemma":[0.9895057,0.0013859286,0.007218495,0.00008466652,0.00009017148,0.00008421195,0.00009817002,0.00006121742,0.0014713762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886274,0.00035270856,0.000028214652,0.000108931796,0.0003852093,0.0002622505],"domain_scores_gemma":[0.99506074,0.0033871478,0.0003994643,0.00029617458,0.00074264966,0.000113677524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016858275,0.0008367968,0.0008013418,0.0017183585,0.00070748787,0.001242489,0.0010800178,0.00061894103,0.0014384647],"category_scores_gemma":[0.011168469,0.0004960206,0.00047870274,0.0016343708,0.0017409431,0.0019622468,0.0014889821,0.0009859594,0.00036139414],"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":[0.000037047957,0.000021870119,0.00054159504,0.00006798039,0.000018518742,0.0001778631,0.00009948114,0.91499275,0.0026724348,0.07346348,0.0009459039,0.006960963],"study_design_scores_gemma":[0.0000019778256,0.000016715881,0.00021354154,0.000016147093,0.0000063544135,0.00005640551,0.000028668434,0.9844881,0.0005431785,0.014141289,0.00047716222,0.000010397368],"about_ca_topic_score_codex":0.004772277,"about_ca_topic_score_gemma":0.0016268417,"teacher_disagreement_score":0.004772277,"about_ca_system_score_codex":0.0027031256,"about_ca_system_score_gemma":0.0010122268,"threshold_uncertainty_score":0.01961267},"labels":[],"label_agreement":null},{"id":"W2033578584","doi":"10.1109/tvt.2015.2417500","title":"Energy-Efficient Adaptive Power Allocation for Incremental MIMO Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hybrid automatic repeat request; Mathematical optimization; Network packet; Geometric programming; MIMO; Automatic repeat request; Optimization problem; Computer science; Telecommunications link; Mathematics","score_opus":0.013348524598666292,"score_gpt":0.21829698709807266,"score_spread":0.20494846249940638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033578584","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":[0.06259072,0.00027003523,0.9306716,0.00016783219,0.000025436782,0.00003666238,0.000031280022,0.00006116941,0.006145294],"genre_scores_gemma":[0.96128476,0.00022059052,0.03685394,0.00004855611,0.000022104463,0.000048432863,0.000020752688,0.000013567971,0.0014872871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979335,0.00006357217,0.000005630322,0.000035468383,0.00005241687,0.00004963705],"domain_scores_gemma":[0.9997482,0.00014955329,0.000035792298,0.000014743836,0.00003983137,0.000011920069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036818543,0.0005994476,0.00044019383,0.00018663533,0.0002702709,0.0006766759,0.000720415,0.00046780094,0.001184791],"category_scores_gemma":[0.00086852204,0.00020543543,0.0003573542,0.00052986114,0.00056217896,0.00057702075,0.000542278,0.00046695044,0.00012297793],"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":[0.00003117043,0.000026956011,0.0002434821,0.00003377187,0.000016718577,0.00011023279,0.00003803996,0.96509826,0.002973735,0.019286549,0.00028772937,0.01185333],"study_design_scores_gemma":[0.0000037946668,0.000028730963,0.0000706051,0.0000016134949,0.0000050002404,0.000015913678,0.000013048404,0.99630725,0.00039884675,0.002955407,0.00019652279,0.0000032365456],"about_ca_topic_score_codex":0.001588492,"about_ca_topic_score_gemma":0.0016903244,"teacher_disagreement_score":0.001588492,"about_ca_system_score_codex":0.00045998459,"about_ca_system_score_gemma":0.000491373,"threshold_uncertainty_score":0.00396353},"labels":[],"label_agreement":null},{"id":"W2034084319","doi":"10.1109/tvt.2014.2344036","title":"Quadrature Spatial Modulation","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":542,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Pairwise error probability; Quadrature (astronomy); Rayleigh fading; Quadrature amplitude modulation; Monte Carlo method; Mathematics; MIMO; Algorithm; Synchronizing; Spatial modulation; Control theory (sociology); Computer science; Electronic engineering; Topology (electrical circuits); Bit error rate; Fading; Engineering; Statistics; Beamforming","score_opus":0.005947411688996376,"score_gpt":0.20654162185035754,"score_spread":0.20059421016136117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034084319","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":[0.019321166,0.0061722654,0.94065034,0.0008666481,0.0007432751,0.000093829825,0.000141263,0.0004787458,0.03153242],"genre_scores_gemma":[0.6710333,0.0074755717,0.300672,0.0016286526,0.001189707,0.00017041109,0.0003775457,0.00007955284,0.017373297],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946386,0.00011284137,0.000026989932,0.00008773483,0.00024009957,0.00006841402],"domain_scores_gemma":[0.9994573,0.00015032101,0.00008550693,0.00010502828,0.00017683096,0.000024978113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004550835,0.0004466216,0.00049241673,0.00066154706,0.00041239103,0.00087802653,0.0009231806,0.0006197329,0.0034524915],"category_scores_gemma":[0.0012781991,0.00017949425,0.00035003477,0.0009767662,0.00048262702,0.0009781725,0.0008176998,0.0006740976,0.0012206738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031266286,0.00011231549,0.0024999147,0.0007064911,0.00009607385,0.00039340116,0.00019307173,0.024260726,0.12917152,0.24679649,0.008091117,0.58736616],"study_design_scores_gemma":[0.00019494304,0.0014734804,0.0025051243,0.0003316289,0.0002679949,0.004841254,0.00016609933,0.48862052,0.12894271,0.09668005,0.27581316,0.0001630135],"about_ca_topic_score_codex":0.00032393576,"about_ca_topic_score_gemma":0.0004018488,"teacher_disagreement_score":0.0034524915,"about_ca_system_score_codex":0.00047179052,"about_ca_system_score_gemma":0.00038053025,"threshold_uncertainty_score":0.011549711},"labels":[],"label_agreement":null},{"id":"W2034589479","doi":"10.1109/tvt.2012.2203835","title":"Impact of Detection Uncertainties on the Performance of a Spectrum-Sharing Cognitive Radio With Soft Sensing","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Cognitive radio; False alarm; Computer science; Transmission (telecommunications); Interference (communication); Electronic engineering; Telecommunications; Computer network; Real-time computing; Engineering; Wireless; Artificial intelligence; Channel (broadcasting)","score_opus":0.011143059587721922,"score_gpt":0.22724895103895335,"score_spread":0.21610589145123144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034589479","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":[0.6795796,0.0011531546,0.31080732,0.0011489859,0.00007030773,0.00009303413,0.00013283864,0.00026497574,0.006749781],"genre_scores_gemma":[0.9973246,0.00006551188,0.0024359983,0.000033913002,0.000008899115,0.000011487844,0.000007467887,0.0000071628906,0.000104935374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99627125,0.0016642901,0.00016933103,0.0003322253,0.00089625624,0.00066660956],"domain_scores_gemma":[0.92892534,0.06305675,0.0040383684,0.0016354339,0.001759474,0.0005847106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006366695,0.0012695332,0.0013527038,0.00063226855,0.0007190878,0.0019911227,0.0011516442,0.0017752505,0.0008939838],"category_scores_gemma":[0.048877455,0.00050383934,0.0004760031,0.00075432623,0.002300004,0.0020992146,0.002167661,0.0012278119,0.00010839404],"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":[0.0002790351,0.000039890856,0.0008708284,0.000052521224,0.000039066697,0.00013317983,0.000050802984,0.9895538,0.0015740757,0.0041372795,0.00006434936,0.0032050456],"study_design_scores_gemma":[0.00002644249,0.00014732734,0.0005759612,0.000014062506,0.00002693832,0.0000667639,0.000041087475,0.99325234,0.0017675312,0.004022274,0.000035019824,0.000024211111],"about_ca_topic_score_codex":0.0029484958,"about_ca_topic_score_gemma":0.0011164338,"teacher_disagreement_score":0.006366695,"about_ca_system_score_codex":0.0012769153,"about_ca_system_score_gemma":0.0012385761,"threshold_uncertainty_score":0.033670723},"labels":[],"label_agreement":null},{"id":"W2034937481","doi":"10.1109/tvt.2014.2380827","title":"Cooperative ARQ-Based Energy-Efficient Routing in Multihop Wireless Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Retransmission; Computer network; Computer science; Energy consumption; Physical layer; Relay; Automatic repeat request; Transmission (telecommunications); Hybrid automatic repeat request; Cooperative diversity; Routing protocol; Efficient energy use; Wireless; Distributed computing; Routing (electronic design automation); Channel (broadcasting); Engineering; Fading; Network packet; Telecommunications","score_opus":0.012720797582359703,"score_gpt":0.23545401301074284,"score_spread":0.22273321542838315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034937481","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":[0.025341354,0.00080995826,0.971723,0.00013799248,0.000041773594,0.000047556354,0.000015637215,0.00019036153,0.0016924067],"genre_scores_gemma":[0.8181867,0.0009625137,0.17683628,0.00016037704,0.00006433446,0.00016009538,0.00005515406,0.000050702263,0.00352373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993723,0.00021703147,0.000028103603,0.00008474155,0.00023270248,0.0000651205],"domain_scores_gemma":[0.9992299,0.00037420404,0.00010749316,0.00010523757,0.00016122605,0.000021938065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011368954,0.00057564094,0.00049221027,0.0005198244,0.0004664784,0.00068438554,0.0015424907,0.0006030466,0.0005375532],"category_scores_gemma":[0.0016298596,0.00030232014,0.00035979596,0.00056917337,0.0005904047,0.0012636948,0.00086177594,0.0004916122,0.00018924297],"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":[0.00007969023,0.00010985837,0.0005687489,0.00014950229,0.00007852849,0.00015971863,0.00022887676,0.854179,0.023338327,0.04146834,0.0011838274,0.07845558],"study_design_scores_gemma":[0.000012614337,0.00011507362,0.00012553917,0.0000063435823,0.000020552305,0.00007765715,0.000030465431,0.98635,0.0035233994,0.008064853,0.0016609794,0.000012622158],"about_ca_topic_score_codex":0.001142487,"about_ca_topic_score_gemma":0.0022810823,"teacher_disagreement_score":0.0015424907,"about_ca_system_score_codex":0.00049187284,"about_ca_system_score_gemma":0.0007007178,"threshold_uncertainty_score":0.006012559},"labels":[],"label_agreement":null},{"id":"W2035869080","doi":"10.1109/tvt.2011.2162972","title":"An Integrated Stimulation and Punishment Mechanism for Thwarting Packet Dropping Attack in Multihop Wireless Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":68,"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 Waterloo","funders":"","keywords":"Computer network; Network packet; Computer science; Transmission delay; Relay; Fast packet switching; Packet forwarding; Processing delay","score_opus":0.04790557429663024,"score_gpt":0.28414075693317725,"score_spread":0.23623518263654703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035869080","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14080238,0.00038467694,0.8541895,0.00037955426,0.0001213108,0.00023130182,0.000024443078,0.0009594484,0.0029073516],"genre_scores_gemma":[0.95607185,0.00009544965,0.04276125,0.00010454051,0.000036856574,0.000090558155,0.000010500588,0.000011737446,0.0008172923],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988463,0.0004048144,0.0000850677,0.00021018526,0.00033493916,0.00011877235],"domain_scores_gemma":[0.99722844,0.00088289095,0.0006977026,0.0005091743,0.00047779706,0.00020397849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016124094,0.0005492844,0.00058209384,0.0006862025,0.0005352602,0.000623887,0.0014597859,0.0007986284,0.00051845296],"category_scores_gemma":[0.0040779114,0.00022613705,0.00033906428,0.00030273027,0.0008431753,0.0012561673,0.00097221875,0.00072005467,0.0001322625],"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":[0.0011139568,0.0011720804,0.009205179,0.0004874002,0.00041271455,0.0012423088,0.0008401149,0.272753,0.2193832,0.07295217,0.0035453287,0.41689256],"study_design_scores_gemma":[0.00012400406,0.0012358143,0.0026307867,0.00002988994,0.00012919493,0.00064101315,0.00007311267,0.95076334,0.028233824,0.013227316,0.0028229079,0.000088771514],"about_ca_topic_score_codex":0.00045235467,"about_ca_topic_score_gemma":0.0005112228,"teacher_disagreement_score":0.0016124094,"about_ca_system_score_codex":0.00051443826,"about_ca_system_score_gemma":0.0006614049,"threshold_uncertainty_score":0.0085273385},"labels":[],"label_agreement":null},{"id":"W2035893133","doi":"10.1109/tvt.2010.2040233","title":"Special Section on Advancements in Analysis of CSMA-CA Wireless Network Standards","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","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":"Distributed coordination function; Computer network; Special section; Computer science; IEEE 802.11u; Carrier sense multiple access with collision avoidance; Network allocation vector; Inter-Access Point Protocol; IEEE 802; IEEE 802.11w-2009; IEEE 802.11b-1999; IEEE 802.11; Channel (broadcasting); IEEE 802.11e-2005; IEEE 802.1X; Wireless; Section (typography); Wireless network; Throughput; Telecommunications; Engineering; Wi-Fi; Quality of service; Wi-Fi array","score_opus":0.005186925757427419,"score_gpt":0.23459946045052818,"score_spread":0.22941253469310077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035893133","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027264243,0.1166947,0.10348721,0.021715859,0.6628521,0.0002754287,0.0005452542,0.00060386374,0.0910992],"genre_scores_gemma":[0.030901145,0.18852265,0.03553475,0.012809759,0.58643335,0.00038858526,0.0015123287,0.0007573873,0.14314012],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99807465,0.0003892066,0.00018936802,0.00033656,0.0008501961,0.00015996238],"domain_scores_gemma":[0.9920562,0.0035653615,0.00036990823,0.0006268719,0.0029738643,0.00040780407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002449642,0.0015879257,0.001347563,0.002748997,0.0008111913,0.0023716898,0.001399669,0.0022324773,0.022517554],"category_scores_gemma":[0.008282299,0.00046134653,0.0011293713,0.0028016877,0.0010114344,0.0028756862,0.001460959,0.004934884,0.010963563],"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":[0.00015293955,0.0002043466,0.00072542776,0.0008303146,0.00007387933,0.0003800426,0.00007292689,0.0026542183,0.003174683,0.05464168,0.7354333,0.20165619],"study_design_scores_gemma":[0.000013096687,0.00021157917,0.00079828245,0.0004122585,0.000048521815,0.00063962827,0.000035927027,0.005714583,0.0010543104,0.019016132,0.9720228,0.000032843658],"about_ca_topic_score_codex":0.0006646845,"about_ca_topic_score_gemma":0.0007373063,"teacher_disagreement_score":0.022517554,"about_ca_system_score_codex":0.0011029751,"about_ca_system_score_gemma":0.0009906777,"threshold_uncertainty_score":0.07532877},"labels":[],"label_agreement":null},{"id":"W2037307676","doi":"10.1109/tvt.2010.2044820","title":"A Dual-Decomposition-Based Resource Allocation for OFDMA Networks With Imperfect CSI","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada); University of Waterloo","funders":"","keywords":"Computer science; Resource allocation; Quality of service; Channel state information; Orthogonal frequency-division multiple access; Frequency-division multiple access; Mathematical optimization; Computer network; Channel allocation schemes; Orthogonal frequency-division multiplexing; Channel (broadcasting); Wireless; Mathematics; Telecommunications","score_opus":0.003081321085178687,"score_gpt":0.20528761313337213,"score_spread":0.20220629204819343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037307676","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":[0.010843771,0.00028686423,0.9856823,0.00018325809,0.000043837932,0.000029807077,0.000036778543,0.00006802066,0.0028253007],"genre_scores_gemma":[0.5730049,0.00038415886,0.42123345,0.00018699639,0.00010747693,0.00017870925,0.0001149013,0.000055967776,0.0047334274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994178,0.00024648954,0.000017533057,0.000081491395,0.00013904125,0.000097754804],"domain_scores_gemma":[0.99954104,0.00023340638,0.000050573268,0.000043813245,0.00008059289,0.00005070917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013500589,0.0006061312,0.0008572114,0.00042649644,0.00049244374,0.00091158476,0.0010468593,0.0006511084,0.0021334612],"category_scores_gemma":[0.0016493103,0.00034425553,0.0003648465,0.0007062733,0.0007396843,0.00096911466,0.0011730833,0.00084026426,0.0004559541],"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":[0.0002845788,0.00016235514,0.00033790572,0.00012052468,0.000057427893,0.00010073547,0.000099573735,0.8319048,0.0058554867,0.0543816,0.0048140613,0.10188084],"study_design_scores_gemma":[0.000012389695,0.00001997797,0.000029865674,0.000004061985,0.0000044068634,0.000015834758,0.0000062543786,0.99556065,0.00038798805,0.0034277367,0.0005262817,0.000004447127],"about_ca_topic_score_codex":0.0019928587,"about_ca_topic_score_gemma":0.0020859395,"teacher_disagreement_score":0.0021334612,"about_ca_system_score_codex":0.0011883333,"about_ca_system_score_gemma":0.0012926654,"threshold_uncertainty_score":0.00862205},"labels":[],"label_agreement":null},{"id":"W2037360800","doi":"10.1109/tvt.2014.2335209","title":"Distributed Precoding for OFDM in Two-Way Relaying Communications","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Rician fading; Diversity gain; Orthogonal frequency-division multiplexing; Diversity scheme; Rayleigh fading; Computer science; Fading; Coding gain; Zero-forcing precoding; Electronic engineering; Coding (social sciences); Telecommunications; Algorithm; Mathematics; Engineering; MIMO; Statistics; Decoding methods; Channel (broadcasting)","score_opus":0.03276547086102075,"score_gpt":0.2996851692478048,"score_spread":0.26691969838678403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037360800","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":[0.009008509,0.00033511632,0.9892356,0.00007851046,0.000024152256,0.00001623714,0.00000884604,0.000038095815,0.0012549399],"genre_scores_gemma":[0.7039421,0.0010943541,0.29234266,0.0000998274,0.0001136967,0.00011979391,0.000044377633,0.000014885059,0.0022282505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961156,0.00013115881,0.00001733316,0.00006072827,0.00014683684,0.000032445634],"domain_scores_gemma":[0.99937004,0.00033147255,0.000085571,0.00007765387,0.00012006708,0.0000151849445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039210008,0.00041688516,0.00031361645,0.00023223115,0.00024150687,0.00048469732,0.0004000123,0.00050951046,0.0004954736],"category_scores_gemma":[0.0015114149,0.00015836462,0.00024703823,0.0003666313,0.00042457506,0.00048527564,0.00037820626,0.00045712828,0.00018765566],"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":[0.00014538912,0.000073196796,0.0008516068,0.00024497102,0.000059678387,0.00046332178,0.00028733345,0.59224373,0.071332805,0.10251138,0.0015015414,0.23028497],"study_design_scores_gemma":[0.000021606904,0.00021693343,0.00019250752,0.000019427185,0.000014936406,0.00021270875,0.00003143588,0.9738444,0.0074471133,0.015290565,0.002694226,0.000014275219],"about_ca_topic_score_codex":0.00044942187,"about_ca_topic_score_gemma":0.00086668803,"teacher_disagreement_score":0.00050951046,"about_ca_system_score_codex":0.00038023997,"about_ca_system_score_gemma":0.00045030421,"threshold_uncertainty_score":0.002758801},"labels":[],"label_agreement":null},{"id":"W2037719867","doi":"10.1109/tvt.2012.2221753","title":"Secondary User Access in LTE Architecture Based on a Base-Station-Centric Framework With Dynamic Pricing","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"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":"Base station; Computer science; Computer network; Handover; Cognitive radio; Wireless; Service provider; Incentive; Dynamic pricing; Spectrum management; Frequency allocation; Service (business); Telecommunications; Business","score_opus":0.005328248227162346,"score_gpt":0.22489214002199212,"score_spread":0.21956389179482977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037719867","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":[0.15947656,0.00064421736,0.8006066,0.00072548207,0.000131182,0.00014269006,0.000060826358,0.0004277098,0.037784737],"genre_scores_gemma":[0.97207,0.00017627595,0.023472924,0.00005510131,0.000042069412,0.000040570074,0.0000181949,0.0000135405035,0.0041112634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996087,0.00010829362,0.00001361087,0.00005626719,0.000115232564,0.00009793679],"domain_scores_gemma":[0.9998548,0.000024150835,0.000016064498,0.00001938469,0.000047079317,0.000038481496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045613822,0.00034511896,0.00039790172,0.00027410715,0.00066642597,0.0016759888,0.0012452885,0.00066765957,0.002249925],"category_scores_gemma":[0.00038003322,0.00019057862,0.0005152866,0.00029740192,0.0006762201,0.00089275127,0.00077755126,0.0006553852,0.00042313503],"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":[0.00018021198,0.00031618262,0.0017858376,0.000073521325,0.000080675796,0.0007396576,0.00037945952,0.49554217,0.019023258,0.42507374,0.0036126655,0.05319269],"study_design_scores_gemma":[0.000012057854,0.00007558998,0.00031084567,0.0000053973395,0.000017363824,0.00011115714,0.000036770856,0.9778547,0.00071444997,0.017440008,0.003408837,0.000012731431],"about_ca_topic_score_codex":0.004939581,"about_ca_topic_score_gemma":0.0055662813,"teacher_disagreement_score":0.004939581,"about_ca_system_score_codex":0.0014688917,"about_ca_system_score_gemma":0.0010992886,"threshold_uncertainty_score":0.010657668},"labels":[],"label_agreement":null},{"id":"W2038383584","doi":"10.1109/tvt.2015.2408369","title":"An EM Approach for Cooperative Spectrum Sensing in Multiantenna CR Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Fusion center; Computer science; Algorithm; Signal-to-noise ratio (imaging); Channel (broadcasting); Rayleigh fading; Overhead (engineering); Initialization; Noise (video); Channel state information; Expectation–maximization algorithm; Fading; Electronic engineering; Wireless; Mathematics; Telecommunications; Statistics; Engineering; Maximum likelihood; Artificial intelligence","score_opus":0.01964234996287243,"score_gpt":0.24963554346574035,"score_spread":0.22999319350286793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038383584","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":[0.0012654036,0.00009974873,0.99801755,0.000041774354,0.000010574083,0.0000073680158,0.000005318849,0.00003792431,0.00051432155],"genre_scores_gemma":[0.52275217,0.0007606803,0.47169992,0.00031880557,0.00012436934,0.0002531112,0.000093271454,0.000075972406,0.0039215735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903333,0.0004176086,0.000045216068,0.00021954355,0.00022069665,0.000063548694],"domain_scores_gemma":[0.9985506,0.00095428026,0.00014223902,0.00011838971,0.00019870196,0.000035790596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017103057,0.0008674308,0.0010656173,0.0005201547,0.00040134692,0.0006888887,0.001774628,0.0011360034,0.0010419908],"category_scores_gemma":[0.00442406,0.00053591,0.0007175267,0.00064918416,0.00093829446,0.001363184,0.0014145148,0.0011695392,0.00031555363],"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":[0.00005188888,0.000029574445,0.00034297392,0.00007280564,0.00005838789,0.00008976367,0.000102459366,0.92198724,0.002015564,0.041337136,0.00054256833,0.03336951],"study_design_scores_gemma":[0.0000039453275,0.000014078645,0.000031983116,0.000003574522,0.0000040081113,0.000023741171,0.000006944456,0.99388325,0.00029415448,0.005344962,0.00038430965,0.0000050185886],"about_ca_topic_score_codex":0.0014835212,"about_ca_topic_score_gemma":0.0012915252,"teacher_disagreement_score":0.001774628,"about_ca_system_score_codex":0.0005866524,"about_ca_system_score_gemma":0.00052861316,"threshold_uncertainty_score":0.009045124},"labels":[],"label_agreement":null},{"id":"W2040032009","doi":"10.1109/tvt.2013.2240024","title":"Diversity Analysis of Relay Assignment in Cooperative Networks Based on Sum-Rate Criterion","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Concordia University","funders":"","keywords":"Relay; Rayleigh fading; Permutation (music); Fading; Function (biology); Computer science; Diversity combining; Algorithm; Mathematics; Order (exchange); Probability density function; Topology (electrical circuits); Discrete mathematics; Combinatorics; Statistics; Decoding methods","score_opus":0.01844009649985587,"score_gpt":0.24413777532269687,"score_spread":0.225697678822841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040032009","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":[0.059629727,0.0015113504,0.92055315,0.0004940229,0.000050954204,0.000055697892,0.000092662165,0.00012956992,0.017482901],"genre_scores_gemma":[0.96009254,0.0015355574,0.03346174,0.00022742567,0.00013765546,0.00016734585,0.0000990449,0.00009366487,0.0041850135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757904,0.0011947036,0.000045977835,0.00022229177,0.00059055205,0.00036742666],"domain_scores_gemma":[0.99236804,0.0050826557,0.00063536473,0.00031279813,0.001359393,0.00024179745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032287994,0.0015134613,0.0013343641,0.001349629,0.00091657304,0.001879292,0.0014089879,0.0012173471,0.0020364851],"category_scores_gemma":[0.011064493,0.00053050753,0.0007469719,0.0014152661,0.0023786228,0.002260485,0.0021631606,0.0012328805,0.00055105734],"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":[0.00010308017,0.00003771561,0.00079241977,0.00012029993,0.00007885933,0.0002393527,0.00025488826,0.79998225,0.004776203,0.18325207,0.0013070083,0.0090559125],"study_design_scores_gemma":[0.000009712964,0.000054044533,0.00018302813,0.000020979243,0.00001589981,0.00008612275,0.000054605505,0.95515406,0.00074914494,0.043195393,0.0004603508,0.000016684102],"about_ca_topic_score_codex":0.0020145013,"about_ca_topic_score_gemma":0.00092075835,"teacher_disagreement_score":0.0032287994,"about_ca_system_score_codex":0.0023482565,"about_ca_system_score_gemma":0.0012472062,"threshold_uncertainty_score":0.017075717},"labels":[],"label_agreement":null},{"id":"W2041411748","doi":"10.1109/tvt.2012.2204077","title":"Low-Complexity Energy-Efficient Broadcasting in One-Dimensional Wireless Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Network topology; Computer science; Algorithm; Node (physics); Wireless network; Broadcasting (networking); Wireless; Topology (electrical circuits); Theoretical computer science; Mathematics; Computer network; Combinatorics; Engineering; Telecommunications","score_opus":0.01950273459485332,"score_gpt":0.22725985023435613,"score_spread":0.2077571156395028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041411748","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03755414,0.0005941288,0.9553959,0.00037708713,0.000035901423,0.000063500964,0.00006638756,0.00032800424,0.0055849096],"genre_scores_gemma":[0.6300629,0.0010803627,0.3588968,0.00016790477,0.00008745903,0.0002135086,0.00025985367,0.00011685177,0.009114397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993887,0.0002375453,0.000020778403,0.00010608467,0.00015787497,0.00008903465],"domain_scores_gemma":[0.9987311,0.0009811554,0.000095800926,0.00007596104,0.00008218361,0.00003376168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061331637,0.00053897005,0.0007238653,0.0004818993,0.0005038694,0.00095355813,0.0011875582,0.00088603655,0.0025962465],"category_scores_gemma":[0.0029820194,0.00043899656,0.0004025232,0.0009153412,0.0007067689,0.001723562,0.0008884032,0.0006505877,0.00054160546],"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":[0.00013727738,0.00007408258,0.0004783311,0.00028231792,0.00003251113,0.00010237767,0.00022674025,0.8892599,0.0062707947,0.03919373,0.0019596112,0.061982345],"study_design_scores_gemma":[0.000017140641,0.00003580739,0.00009826793,0.0000062782674,0.0000074297477,0.000045709858,0.00004650635,0.98776543,0.0009824979,0.010150367,0.0008379602,0.000006686961],"about_ca_topic_score_codex":0.0023144367,"about_ca_topic_score_gemma":0.0027874638,"teacher_disagreement_score":0.0025962465,"about_ca_system_score_codex":0.0009282769,"about_ca_system_score_gemma":0.0006385777,"threshold_uncertainty_score":0.00868535},"labels":[],"label_agreement":null},{"id":"W2042482602","doi":"10.1109/25.938580","title":"Indoor wireless infrared channel characterization by measurements","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Path loss; Channel (broadcasting); Delay spread; Rotation (mathematics); Path (computing); Electronic engineering; Range (aeronautics); Computer science; Wireless; Topology (electrical circuits); Acoustics; Telecommunications; Fading; Physics; Engineering; Electrical engineering","score_opus":0.01662755169235809,"score_gpt":0.2167458438407398,"score_spread":0.20011829214838173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042482602","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":[0.82761943,0.00044767474,0.15951027,0.00006541952,0.000033558066,0.00018785031,0.0014250302,0.001484614,0.0092263175],"genre_scores_gemma":[0.98190856,0.00023350956,0.016172906,0.000024562298,0.000011861126,0.00009513842,0.00043194927,0.000059293983,0.0010622495],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990387,0.00016970183,0.000036632056,0.00011780984,0.00049959926,0.00013749795],"domain_scores_gemma":[0.9986603,0.00035808733,0.00018950805,0.00022173133,0.00052912516,0.000041163392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037645336,0.0004534908,0.00031048703,0.0007136338,0.00033722917,0.00055899704,0.00046006375,0.00034163604,0.0013467143],"category_scores_gemma":[0.0018350475,0.00014377058,0.00019406802,0.0012442357,0.00033413075,0.000540243,0.0004266288,0.00036393132,0.000559134],"study_design_candidate":"observational","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":[0.0010417817,0.00023061284,0.11987724,0.0004917294,0.00012468269,0.00045314475,0.0008694689,0.09946808,0.555767,0.0018798565,0.0029054317,0.21689108],"study_design_scores_gemma":[0.00004503872,0.0008862453,0.18404125,0.000057438305,0.00016016996,0.0008780513,0.0010110651,0.27675012,0.52411723,0.00061599596,0.011266456,0.000170953],"about_ca_topic_score_codex":0.006562502,"about_ca_topic_score_gemma":0.008232266,"teacher_disagreement_score":0.006562502,"about_ca_system_score_codex":0.0005632256,"about_ca_system_score_gemma":0.0003451841,"threshold_uncertainty_score":0.013048589},"labels":[],"label_agreement":null},{"id":"W2042607252","doi":"10.1109/tvt.2012.2226921","title":"Battery-in-the-Loop Simulation of a Planetary-Gear-Based Hybrid Electric Vehicle","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Drivetrain; Battery (electricity); Hardware-in-the-loop simulation; Transient (computer programming); Electric vehicle; Automotive engineering; Simulation; Engineering; Modeling and simulation; Vehicle dynamics; Real-time simulation; Hybrid vehicle; Control engineering; Computer science; Torque; Power (physics)","score_opus":0.007729970950679896,"score_gpt":0.1993436894371059,"score_spread":0.191613718486426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042607252","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":[0.8717828,0.00007607196,0.11265697,0.0001230917,0.000036147467,0.00008670168,0.00020752329,0.00058665767,0.014444011],"genre_scores_gemma":[0.9950347,0.000027642787,0.0031379217,0.000008804304,0.0000015674315,0.00003347614,0.000060247286,0.000013322012,0.0016823682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992836,0.000018064058,0.0000036495048,0.000010102624,0.000026469848,0.00001333179],"domain_scores_gemma":[0.9998535,0.00007379589,0.000012879765,0.000013565576,0.00003101436,0.000015270964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014685889,0.0002426739,0.00032936083,0.00019990631,0.00025104362,0.0004114723,0.0005362087,0.00043350438,0.0019912631],"category_scores_gemma":[0.00039620942,0.00012498209,0.00025088617,0.00013128869,0.00036843962,0.00039786173,0.0004092923,0.00029601692,0.00016843836],"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":[0.00004712674,0.000031031785,0.00075141026,0.000019105535,0.000008361497,0.000066043554,0.0000467703,0.9931253,0.0029684068,0.0006300292,0.000083123974,0.0022231524],"study_design_scores_gemma":[0.000009750118,0.000045829274,0.00017813341,0.0000015072897,0.0000027967665,0.000008374627,0.000017636537,0.99782974,0.0014380645,0.00019549992,0.0002697855,0.0000028548013],"about_ca_topic_score_codex":0.0047985315,"about_ca_topic_score_gemma":0.0032309515,"teacher_disagreement_score":0.0047985315,"about_ca_system_score_codex":0.00027763363,"about_ca_system_score_gemma":0.00044813828,"threshold_uncertainty_score":0.0095412135},"labels":[],"label_agreement":null},{"id":"W2042926266","doi":"10.1109/tvt.2014.2320596","title":"Channel Time Allocations and Handoff Management for Fair Throughput in Wireless Mesh Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Handover; Computer network; Computer science; Throughput; Channel allocation schemes; Channel (broadcasting); Wireless mesh network; Heuristic; Wireless; Optimization problem; Wireless network; Algorithm; Telecommunications","score_opus":0.0041107348904896816,"score_gpt":0.19323166855397655,"score_spread":0.18912093366348687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042926266","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":[0.056199547,0.00065936527,0.9402056,0.00029954017,0.0000661613,0.00005169042,0.000024712064,0.00009017764,0.002403349],"genre_scores_gemma":[0.9553856,0.0003632636,0.042828124,0.000052109615,0.00011011268,0.000073720716,0.000013729337,0.000034448072,0.0011387792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998898,0.0004855505,0.000036310965,0.0001332304,0.00021555893,0.00023130685],"domain_scores_gemma":[0.99792105,0.0014250707,0.00026473595,0.00013884997,0.00016756188,0.00008272139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026412648,0.00064284966,0.00066326075,0.0005223204,0.00089030986,0.001055297,0.00089811767,0.00072010304,0.0014629171],"category_scores_gemma":[0.005428112,0.00029870565,0.0004029947,0.0005709047,0.0012963142,0.0023021693,0.0011157969,0.00083000195,0.00011354978],"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":[0.00009321355,0.000054958247,0.00074058544,0.00005670411,0.000032706215,0.000060284805,0.00009050504,0.942833,0.0036360384,0.034258388,0.00046489984,0.017678672],"study_design_scores_gemma":[0.000009670448,0.00003547847,0.00017057915,0.000003848322,0.000010286964,0.0000125083925,0.000023281467,0.99033433,0.0005613488,0.008574969,0.00025859836,0.000005104816],"about_ca_topic_score_codex":0.0030867616,"about_ca_topic_score_gemma":0.0020170233,"teacher_disagreement_score":0.0030867616,"about_ca_system_score_codex":0.0016197014,"about_ca_system_score_gemma":0.0015561945,"threshold_uncertainty_score":0.013968468},"labels":[],"label_agreement":null},{"id":"W2043097635","doi":"10.1109/tvt.2012.2207439","title":"Power Allocation and Group Assignment for Reducing Network Coding Noise in Multi-Unicast Wireless Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Unicast; Relay; Computer science; Linear network coding; Computer network; Wireless; Wireless network; Power (physics); Multicast; Telecommunications","score_opus":0.03367204915687002,"score_gpt":0.274313694632368,"score_spread":0.24064164547549796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043097635","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023425253,0.00039088805,0.97429097,0.00012479397,0.000022667666,0.000030264297,0.000010701976,0.00010061302,0.0016038197],"genre_scores_gemma":[0.86920005,0.00057425274,0.12847055,0.000117006464,0.0000414471,0.00014059426,0.000028729999,0.000048006306,0.0013794964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991036,0.0003856715,0.000030471454,0.00010807438,0.00028281065,0.00008924019],"domain_scores_gemma":[0.9986098,0.0008791025,0.00016022605,0.00015121915,0.0001609652,0.000038708422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018401,0.00080838165,0.00066952594,0.0003996411,0.00053071463,0.00059599156,0.0008455266,0.0005406657,0.0006886267],"category_scores_gemma":[0.0042526824,0.000280627,0.00027714146,0.0007815902,0.0009182229,0.0011259302,0.00115284,0.00069082424,0.0001608446],"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":[0.000097688404,0.000065714994,0.00059862353,0.00011890611,0.000038999955,0.00013276363,0.00025068858,0.8740698,0.014868064,0.044040415,0.0006451021,0.06507316],"study_design_scores_gemma":[0.000007843689,0.000054465,0.0000969994,0.000009183128,0.000010550269,0.000042998137,0.000031598043,0.9854762,0.0029101418,0.010643958,0.0007082184,0.000007717489],"about_ca_topic_score_codex":0.0013346678,"about_ca_topic_score_gemma":0.0012359627,"teacher_disagreement_score":0.0013346678,"about_ca_system_score_codex":0.0006753754,"about_ca_system_score_gemma":0.0007625445,"threshold_uncertainty_score":0.0053858757},"labels":[],"label_agreement":null},{"id":"W2043943624","doi":"10.1109/tvt.2014.2303081","title":"Stability Region of Opportunistic Scheduling in Wireless Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Scheduling (production processes); Round-robin scheduling; Fair-share scheduling; Dynamic priority scheduling; Rate-monotonic scheduling; Computer science; Proportionally fair; Two-level scheduling; Mathematical optimization; Ergodic theory; Flow shop scheduling; Earliest deadline first scheduling; Distributed computing; Mathematics; Computer network; Mathematical analysis","score_opus":0.011222489461320035,"score_gpt":0.2046108924943464,"score_spread":0.19338840303302637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043943624","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":[0.15284799,0.0018061462,0.8211394,0.00067827,0.00007301184,0.00009159771,0.0001990745,0.00029609897,0.022868386],"genre_scores_gemma":[0.98301744,0.0007476315,0.013306954,0.00006857018,0.000042788186,0.00009954455,0.00006864451,0.000053287236,0.0025952114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928963,0.00025920683,0.000023839148,0.00011517315,0.00017369378,0.00013839862],"domain_scores_gemma":[0.9954657,0.002998032,0.00057606946,0.00014447598,0.0006852832,0.00013045946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015746685,0.00070820434,0.00054741715,0.00087673037,0.000788902,0.0012426612,0.0007064928,0.00042307918,0.0018155004],"category_scores_gemma":[0.0069178585,0.00030716535,0.00041162732,0.0006556985,0.0014049701,0.0010020345,0.0010192003,0.00071702665,0.00025328386],"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":[0.00018879857,0.000031336847,0.0014382818,0.000113112306,0.00005574763,0.00018638682,0.00024540495,0.79137623,0.0073439023,0.179167,0.001828817,0.018024912],"study_design_scores_gemma":[0.000006672548,0.000022869164,0.00023657286,0.000013384307,0.000008185878,0.000031792355,0.000035584566,0.96893233,0.0007530965,0.029403957,0.00054627616,0.000009369647],"about_ca_topic_score_codex":0.005064958,"about_ca_topic_score_gemma":0.0016186346,"teacher_disagreement_score":0.005064958,"about_ca_system_score_codex":0.0018606422,"about_ca_system_score_gemma":0.001370054,"threshold_uncertainty_score":0.013500035},"labels":[],"label_agreement":null},{"id":"W2045261465","doi":"10.1109/tvt.2012.2236582","title":"Energy Provisioning in Green Mesh Networks Using Positional Awareness","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","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":"McMaster University","funders":"University of Waterloo","keywords":"Provisioning; Computer science; Node (physics); Computer network; Bandwidth (computing); Distributed computing; Engineering","score_opus":0.01139002516278443,"score_gpt":0.22402888749919672,"score_spread":0.2126388623364123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045261465","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":[0.088254,0.00021133955,0.90742725,0.00017928409,0.000025863297,0.000049870403,0.00006430352,0.00031779482,0.0034703028],"genre_scores_gemma":[0.87748784,0.00019136432,0.12043899,0.000033612218,0.000017800128,0.000046707668,0.00006337895,0.000026489812,0.0016939571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982065,0.000055513752,0.000008205844,0.000038069757,0.000038035934,0.000039518574],"domain_scores_gemma":[0.9996649,0.0001938786,0.0000504613,0.000043841705,0.000029635714,0.000017245276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004659795,0.00032995196,0.0002963781,0.0003594163,0.00038536644,0.0004947235,0.00067517813,0.0004080822,0.00085202866],"category_scores_gemma":[0.0013018872,0.00023603835,0.00020078849,0.0006170727,0.00028179324,0.0010685805,0.0006576173,0.00024816644,0.000118721386],"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":[0.00010311018,0.000036075737,0.00088937697,0.000045933157,0.000011914205,0.00007969097,0.00007229946,0.88743997,0.0058316207,0.015258315,0.0006694312,0.08956228],"study_design_scores_gemma":[0.000004726312,0.00002071885,0.00017672397,0.00000297113,0.0000038205044,0.000021059497,0.000026954087,0.99228996,0.0014651336,0.005375321,0.00060914847,0.000003397087],"about_ca_topic_score_codex":0.0018452439,"about_ca_topic_score_gemma":0.0037613146,"teacher_disagreement_score":0.0018452439,"about_ca_system_score_codex":0.00075785787,"about_ca_system_score_gemma":0.00041770883,"threshold_uncertainty_score":0.0054986477},"labels":[],"label_agreement":null},{"id":"W2048883805","doi":"10.1109/tvt.2012.2227071","title":"Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Scheduling (production processes); Mathematical optimization; Job shop scheduling; Dynamic priority scheduling; Telecommunications link; Schedule; Real-time computing; Computer network; Mathematics","score_opus":0.005924881663470849,"score_gpt":0.20477633335070636,"score_spread":0.1988514516872355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048883805","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":[0.42213953,0.00037300386,0.5672147,0.0002999804,0.00006893643,0.00012190042,0.00023477411,0.00075247674,0.008794669],"genre_scores_gemma":[0.9612659,0.0001238401,0.036836285,0.000033250817,0.00001605116,0.000029027227,0.00016520431,0.00005066413,0.0014798817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965966,0.00008747386,0.000008627548,0.00007158157,0.000052592113,0.00012010451],"domain_scores_gemma":[0.9997038,0.00012562827,0.000046139656,0.000031645006,0.000049517523,0.00004322259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038683967,0.00046166746,0.0004902332,0.00034564294,0.00048194756,0.0007086553,0.0006584938,0.00042997816,0.001098618],"category_scores_gemma":[0.00070925866,0.00022224146,0.00027192404,0.00057167874,0.00037982408,0.00061312993,0.0004305895,0.0003441166,0.0001637572],"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":[0.000078665056,0.00005027132,0.0005381018,0.000025569512,0.000010247317,0.00007358175,0.000036963076,0.9731365,0.0034125815,0.0041260314,0.0005529086,0.01795853],"study_design_scores_gemma":[0.0000073642673,0.000025721987,0.00021072196,0.0000014533429,0.000003816948,0.000012838551,0.000033598735,0.99516857,0.0014113184,0.0025112773,0.00061042694,0.000002989712],"about_ca_topic_score_codex":0.010321877,"about_ca_topic_score_gemma":0.009265802,"teacher_disagreement_score":0.010321877,"about_ca_system_score_codex":0.0011852945,"about_ca_system_score_gemma":0.0012874018,"threshold_uncertainty_score":0.020523608},"labels":[],"label_agreement":null},{"id":"W2049483782","doi":"10.1109/tvt.2012.2185964","title":"Impact of Channel Estimation Error on the Performance of Amplify-and-Forward Two-Way Relaying","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":132,"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 Victoria","funders":"","keywords":"Relay; Bit error rate; Computer science; Signal-to-noise ratio (imaging); Channel state information; Imperfect; Channel (broadcasting); Interference (communication); Algorithm; Control theory (sociology); Power (physics); Telecommunications; Wireless","score_opus":0.03308982267103588,"score_gpt":0.2943612709442491,"score_spread":0.2612714482732132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049483782","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":[0.5887174,0.0027866024,0.40152973,0.00044999883,0.00006185806,0.000040608298,0.00012235135,0.0004575633,0.005833826],"genre_scores_gemma":[0.992706,0.0004256849,0.006478906,0.00002432447,0.0000101477835,0.000008239899,0.000022271548,0.000015219368,0.00030913122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982109,0.00068036007,0.000091823116,0.00022713092,0.0005660369,0.00022363348],"domain_scores_gemma":[0.9833139,0.013563396,0.0009248502,0.0009045606,0.0012197235,0.000073542156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002719763,0.0011429192,0.00086814683,0.00047132262,0.00046239945,0.001009536,0.0006533836,0.0010036086,0.00046439184],"category_scores_gemma":[0.018654503,0.00027589657,0.00025101347,0.0005420573,0.00095459475,0.0016696522,0.0009932432,0.0006572943,0.00012580353],"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":[0.00018437093,0.000036864163,0.0027346166,0.000097601674,0.00005964877,0.00018050456,0.00010147207,0.9603255,0.006812347,0.004952743,0.00014452697,0.02436985],"study_design_scores_gemma":[0.000014411713,0.0002605336,0.0015178722,0.00002209934,0.0000540949,0.00029311917,0.0000446224,0.97678137,0.017860422,0.0028612313,0.00025380054,0.00003651681],"about_ca_topic_score_codex":0.0019896764,"about_ca_topic_score_gemma":0.0014272566,"teacher_disagreement_score":0.002719763,"about_ca_system_score_codex":0.0006844466,"about_ca_system_score_gemma":0.00072682305,"threshold_uncertainty_score":0.014383614},"labels":[],"label_agreement":null},{"id":"W2050201442","doi":"10.1109/tvt.2012.2235867","title":"On the Tradeoff Between Spectral Efficiency and Energy Efficiency of Homogeneous Cellular Networks With Outage Constraint","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spectral efficiency; Telecommunications link; Base station; Mathematical optimization; Constraint (computer-aided design); Interference (communication); Cellular network; Transmission (telecommunications); Signal-to-noise ratio (imaging); Efficient energy use; Mode (computer interface); Computer science; Mathematics; Topology (electrical circuits); Engineering; Telecommunications","score_opus":0.0055664058133846955,"score_gpt":0.17924043711006554,"score_spread":0.17367403129668085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050201442","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":[0.3022626,0.0025691886,0.67270553,0.0005888689,0.000037077338,0.000052853746,0.00013883975,0.00007936436,0.021565594],"genre_scores_gemma":[0.9872804,0.0012203935,0.010297468,0.00007980689,0.000032836655,0.000030695468,0.00003197838,0.000020190777,0.0010061234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991522,0.00038467016,0.000021972162,0.00010323835,0.00017091559,0.00016705238],"domain_scores_gemma":[0.9959692,0.003138587,0.000302278,0.00018978232,0.00029988444,0.000100317564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016818846,0.0008130594,0.00075820717,0.0006741025,0.0004654426,0.0014393546,0.0005982766,0.0006459228,0.0011747199],"category_scores_gemma":[0.00761132,0.00025728226,0.0002763934,0.0010697764,0.0010439209,0.0020225018,0.0009184788,0.00048042976,0.00020919144],"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":[0.00013846127,0.000044355314,0.0016164986,0.00009875706,0.00004643798,0.00023371768,0.00009260978,0.89421296,0.006772069,0.07627284,0.0005860519,0.019885221],"study_design_scores_gemma":[0.000010278258,0.000116489195,0.0014786168,0.00002685734,0.00002882595,0.00015995727,0.00012684906,0.9552325,0.0025440415,0.03929553,0.00096112944,0.000018908631],"about_ca_topic_score_codex":0.0018838187,"about_ca_topic_score_gemma":0.0014067019,"teacher_disagreement_score":0.0018838187,"about_ca_system_score_codex":0.0011971445,"about_ca_system_score_gemma":0.00047974198,"threshold_uncertainty_score":0.008894742},"labels":[],"label_agreement":null},{"id":"W2053571792","doi":"10.1109/tvt.2007.904502","title":"A Model for Correlated Rician Fading Channels Based on a Finite Queue","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rician fading; Fading; Fading distribution; Channel state information; Algorithm; Channel (broadcasting); Noise (video); Computer science; Autocorrelation; Queue; Mathematics; Electronic engineering; Rayleigh fading; Telecommunications; Statistics; Engineering; Computer network; Wireless","score_opus":0.02488713127388419,"score_gpt":0.24298676943810732,"score_spread":0.21809963816422312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053571792","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":[0.061109405,0.0005494878,0.93411386,0.00061639334,0.000113392896,0.000063243395,0.0002976999,0.00016388608,0.0029726059],"genre_scores_gemma":[0.9376232,0.0010890163,0.052982386,0.00027237312,0.00013098728,0.00016633506,0.0002779434,0.000054806456,0.0074029476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988431,0.00035214235,0.000040090526,0.00022269404,0.00027994547,0.00026200988],"domain_scores_gemma":[0.99675936,0.0017571829,0.0005293208,0.00024330465,0.00054091186,0.00016987555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020498917,0.0010379921,0.0012021243,0.0009019408,0.0008360497,0.0021862928,0.0030350492,0.0016853365,0.001959479],"category_scores_gemma":[0.006140882,0.00054765044,0.0007963352,0.0013946427,0.0020695806,0.002846899,0.0011704548,0.0021946568,0.0004113994],"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":[0.000061562954,0.00002973165,0.00051244005,0.000040013078,0.000021415926,0.00015299808,0.00007681818,0.82254034,0.0012754741,0.17227131,0.0006980725,0.0023198111],"study_design_scores_gemma":[0.000011593381,0.000012901186,0.000050818646,0.000003487866,0.0000051436537,0.000020390667,0.000008479966,0.9908137,0.00013905909,0.008735643,0.00018912973,0.000009786087],"about_ca_topic_score_codex":0.01727785,"about_ca_topic_score_gemma":0.008372647,"teacher_disagreement_score":0.01727785,"about_ca_system_score_codex":0.0033044727,"about_ca_system_score_gemma":0.0020425324,"threshold_uncertainty_score":0.034354508},"labels":[],"label_agreement":null},{"id":"W2055073493","doi":"10.1109/tvt.2013.2292882","title":"QoS-Aware Distributed Security Architecture for 4G Multihop Wireless Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Authentication Protocols Security","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":"Eion (Canada); Carleton University","funders":"","keywords":"Computer network; WiMAX; Computer science; Enterprise information security architecture; Quality of service; Testbed; Wireless network; Wireless; Computer security; Telecommunications","score_opus":0.0070240091197274505,"score_gpt":0.24598833509341658,"score_spread":0.23896432597368913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055073493","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":[0.06675808,0.0009822733,0.92281276,0.0006069958,0.00015272292,0.00025468814,0.00004437938,0.0021129707,0.0062752003],"genre_scores_gemma":[0.8771024,0.00040082456,0.11865836,0.00015759798,0.000057601635,0.00013952545,0.00009301563,0.00004131017,0.0033494604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995523,0.00009374408,0.00003891189,0.000094779934,0.00016149816,0.00005874041],"domain_scores_gemma":[0.99958545,0.000059970283,0.000046936373,0.000076296645,0.00019384397,0.000037488164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068384997,0.0005033483,0.00029998447,0.00049530383,0.0007247111,0.0011117232,0.0010859749,0.00070897787,0.001191129],"category_scores_gemma":[0.0006671755,0.00017478583,0.0003462462,0.0002103535,0.0004860378,0.0013332082,0.0008942125,0.00076380384,0.00032061755],"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":[0.000699944,0.00039280023,0.0040055746,0.0003923562,0.00020280117,0.00061912596,0.00074726046,0.40435648,0.1780818,0.11645054,0.006107131,0.28794417],"study_design_scores_gemma":[0.000045562534,0.00028002576,0.00067734317,0.000025658737,0.00006501775,0.00020019755,0.00009985178,0.9483813,0.023303136,0.016101068,0.010784363,0.000036436715],"about_ca_topic_score_codex":0.0014453172,"about_ca_topic_score_gemma":0.0014025698,"teacher_disagreement_score":0.0014453172,"about_ca_system_score_codex":0.0010097211,"about_ca_system_score_gemma":0.00076483475,"threshold_uncertainty_score":0.0073260665},"labels":[],"label_agreement":null},{"id":"W2056522052","doi":"10.1109/tvt.2013.2256806","title":"On the Performance and Power Optimization of Multihop Multibranch Relaying Networks With Cochannel Interferers","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Rayleigh fading; Cumulative distribution function; Probability density function; Upper and lower bounds; Interference (communication); Computer science; Signal-to-interference-plus-noise ratio; Signal-to-noise ratio (imaging); Mathematical optimization; Transmitter power output; Fading; Monte Carlo method; Optimization problem; Power (physics); Topology (electrical circuits); Mathematics; Algorithm; Telecommunications; Statistics; Transmitter; Physics","score_opus":0.010598778742230214,"score_gpt":0.20757854039241358,"score_spread":0.19697976165018335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056522052","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":[0.44105297,0.004090605,0.53099024,0.0006085043,0.00005583957,0.000051676663,0.00012514743,0.0002122025,0.022812804],"genre_scores_gemma":[0.987847,0.00093106023,0.009861581,0.00003220137,0.000024394998,0.000015039718,0.000025642827,0.000025834239,0.0012373542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931383,0.00030136306,0.000016174667,0.00008022454,0.00018488997,0.00010345732],"domain_scores_gemma":[0.99700564,0.002375277,0.00022263102,0.00010537558,0.00024798064,0.000043175914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011735221,0.0011403799,0.00069017406,0.00044145004,0.00030063785,0.000841387,0.0005704174,0.00077926397,0.00060277793],"category_scores_gemma":[0.005409324,0.00024065135,0.00029382095,0.0006930563,0.0007739861,0.0009275852,0.00062192493,0.00045071112,0.00020427012],"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":[0.00002899334,0.000018523806,0.00041396837,0.000028163635,0.000014505072,0.000064697735,0.000036370064,0.987677,0.0018477387,0.004546835,0.000118541895,0.005204803],"study_design_scores_gemma":[0.000002659166,0.000053559623,0.000268926,0.000004116104,0.000007465501,0.000030817748,0.000014804788,0.9962304,0.0009468714,0.0023102092,0.00012476604,0.000005368611],"about_ca_topic_score_codex":0.0022211052,"about_ca_topic_score_gemma":0.0019460402,"teacher_disagreement_score":0.0022211052,"about_ca_system_score_codex":0.0008815024,"about_ca_system_score_gemma":0.0004299597,"threshold_uncertainty_score":0.006395817},"labels":[],"label_agreement":null},{"id":"W2059781453","doi":"10.1109/tvt.2013.2258695","title":"Downlink Scheduling and Resource Allocation for Cognitive Radio MIMO Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"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":"Cognitive radio; Computer science; Graph coloring; MIMO; Scheduling (production processes); Telecommunications link; Computational complexity theory; Mathematical optimization; Integer programming; Frequency assignment; Greedy algorithm; Base station; Wireless; Computer network; Algorithm; Graph; Theoretical computer science; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.006430525915720786,"score_gpt":0.2075221196547732,"score_spread":0.20109159373905242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059781453","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":[0.042775568,0.0005814306,0.95016676,0.00022258637,0.00009360638,0.00007263327,0.00006353834,0.00022644333,0.005797455],"genre_scores_gemma":[0.8737926,0.0003772248,0.12337097,0.00011324203,0.00007912206,0.00009983134,0.00006174527,0.000029632087,0.0020756756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994974,0.00018190543,0.0000142286535,0.0000716914,0.00012418994,0.00011068132],"domain_scores_gemma":[0.9994986,0.00029217525,0.000060326147,0.000042438474,0.00006250205,0.000043944325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007166625,0.000496144,0.00043038046,0.00031446884,0.00055512716,0.00075056707,0.00059375056,0.0003961405,0.0010463418],"category_scores_gemma":[0.0017453658,0.00026334776,0.00023034676,0.00060632156,0.0004879434,0.00042524422,0.00046073608,0.00049004745,0.00021952744],"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":[0.000118445096,0.000084287196,0.00038725033,0.00004981242,0.000018840083,0.000074915275,0.000049800117,0.9142331,0.0047793,0.021723213,0.0016602186,0.05682083],"study_design_scores_gemma":[0.000010953319,0.00001695917,0.00007205657,0.0000017784087,0.0000038194453,0.000014462394,0.000010835056,0.9936766,0.00068731076,0.005138045,0.00036352908,0.0000035522226],"about_ca_topic_score_codex":0.005411492,"about_ca_topic_score_gemma":0.0073722815,"teacher_disagreement_score":0.005411492,"about_ca_system_score_codex":0.0012530646,"about_ca_system_score_gemma":0.0019424462,"threshold_uncertainty_score":0.010760009},"labels":[],"label_agreement":null},{"id":"W2060453307","doi":"10.1109/tvt.2013.2283158","title":"Control Strategies for Wide Output Voltage Range LLC Resonant DC–DC Converters in Battery Chargers","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Delta-Q Technologies (Canada)","funders":"","keywords":"Converters; Electrical engineering; Voltage; Battery (electricity); Engineering; Battery charger; Charge pump; Forward converter; Electronic engineering; Boost converter; Capacitor; Power (physics); Physics","score_opus":0.007221916799616649,"score_gpt":0.20383263356172493,"score_spread":0.19661071676210828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060453307","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":[0.038789418,0.0005807474,0.9526401,0.00010165248,0.00006162566,0.00007283533,0.000012730764,0.00048727554,0.007253567],"genre_scores_gemma":[0.9497903,0.0002270004,0.046527896,0.00006611773,0.00003452782,0.00006132095,0.000013546097,0.00003053155,0.0032487297],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998498,0.000023050225,0.0000120169,0.00003606031,0.000062817824,0.000016176798],"domain_scores_gemma":[0.9998847,0.000034128738,0.000019832456,0.000010910291,0.000044841105,0.000005593766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002262108,0.0003388308,0.00029340948,0.00023979109,0.00030418928,0.00052809995,0.00079331093,0.00024817613,0.0017155748],"category_scores_gemma":[0.00024736515,0.000136601,0.00016430949,0.00015004385,0.00026146238,0.00041024483,0.00028594644,0.00033426966,0.00034494378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039174696,0.00020840275,0.00070991163,0.00066175713,0.000070006645,0.0004440366,0.0005369603,0.12845097,0.46096283,0.029443027,0.0022672457,0.3758531],"study_design_scores_gemma":[0.00011255366,0.0006540462,0.0007424568,0.00006532969,0.000058084377,0.00047445233,0.00017279957,0.8639095,0.11122554,0.008761777,0.013777139,0.000046279496],"about_ca_topic_score_codex":0.00038781908,"about_ca_topic_score_gemma":0.0007995611,"teacher_disagreement_score":0.0017155748,"about_ca_system_score_codex":0.00020942093,"about_ca_system_score_gemma":0.000119935365,"threshold_uncertainty_score":0.0057391524},"labels":[],"label_agreement":null},{"id":"W2060778272","doi":"10.1109/tvt.2014.2358944","title":"Self-Interference-Threshold-Based MIMO Full-Duplex Precoding","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","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":"McGill University","funders":"","keywords":"Precoding; Maximization; MIMO; Interference (communication); Optimization problem; Algorithm; Zero-forcing precoding; Mathematical optimization; Convex optimization; Mathematics; Constraint (computer-aided design); Minification; Control theory (sociology); Computer science; Regular polygon; Telecommunications; Beamforming; Artificial intelligence","score_opus":0.010937958683122485,"score_gpt":0.21423023174089156,"score_spread":0.2032922730577691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060778272","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":[0.01363958,0.000072294846,0.98339105,0.00006154425,0.000016136177,0.000015756204,0.000025034995,0.00013475577,0.0026437298],"genre_scores_gemma":[0.73577553,0.0001935508,0.2603228,0.00009609746,0.000029638502,0.00007842917,0.00010428674,0.000036946338,0.003362713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955875,0.000088167166,0.000026185586,0.00008187083,0.00018783199,0.00005713603],"domain_scores_gemma":[0.9993874,0.00028818756,0.000060487873,0.00007232032,0.00016844284,0.000023112581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004515131,0.00036178678,0.00043898073,0.000213464,0.00023246907,0.0006912737,0.0006338696,0.00042142483,0.0009471118],"category_scores_gemma":[0.0017299512,0.00022894744,0.00030947928,0.00045149887,0.00046994892,0.0007347143,0.0005709284,0.00052693795,0.0003486081],"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":[0.000119740376,0.0000701179,0.00095102645,0.0000965599,0.000047992326,0.00008634369,0.00013151723,0.78199667,0.044300552,0.040414337,0.0017145843,0.13007058],"study_design_scores_gemma":[0.000011835893,0.000052551797,0.00019615376,0.0000059762074,0.0000075529633,0.000078266785,0.000017390204,0.9812841,0.011747489,0.005742828,0.00084690476,0.000008941098],"about_ca_topic_score_codex":0.0010319931,"about_ca_topic_score_gemma":0.0017699475,"teacher_disagreement_score":0.0010319931,"about_ca_system_score_codex":0.00046056265,"about_ca_system_score_gemma":0.00085891737,"threshold_uncertainty_score":0.0033416748},"labels":[],"label_agreement":null},{"id":"W2061960145","doi":"10.1109/tvt.2014.2376700","title":"Long-Trip Optimal Energy Planning With Online Mass Estimation for Battery Electric Vehicles","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Schedule; Automotive engineering; Duration (music); State of charge; Energy consumption; Engineering; Computer science; Simulation; Electrical engineering; Power (physics)","score_opus":0.020593072133581244,"score_gpt":0.26658311168962096,"score_spread":0.2459900395560397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061960145","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":[0.03334633,0.000782916,0.9613589,0.00018304464,0.000042849715,0.00009301889,0.00014335738,0.0004417449,0.003607816],"genre_scores_gemma":[0.9262941,0.0003599676,0.07011191,0.000060089824,0.000027597554,0.0002057326,0.00022655808,0.00009282766,0.0026212463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976045,0.0000784233,0.00001253848,0.00004837384,0.000049417013,0.000050819854],"domain_scores_gemma":[0.99925584,0.0004968363,0.0000899605,0.000025619454,0.00009351897,0.00003820329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068851985,0.0013807347,0.0011415798,0.00083120813,0.00044107944,0.0008519475,0.0009479794,0.0008739741,0.002168799],"category_scores_gemma":[0.0018091653,0.0010490062,0.00066173216,0.0008219543,0.0005466059,0.0009129673,0.0007365033,0.0008724486,0.00026617115],"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":[0.000025193034,0.000010066144,0.00011140861,0.000023333881,0.000008627833,0.0000236977,0.000011742,0.9934058,0.00023822178,0.000648719,0.00015573547,0.005337406],"study_design_scores_gemma":[0.0000035033272,0.000011851987,0.00005947701,0.0000031687557,0.0000033834322,0.0000031795923,0.000006803635,0.9986779,0.00010453025,0.0010004909,0.00012301812,0.000002620165],"about_ca_topic_score_codex":0.015901221,"about_ca_topic_score_gemma":0.015610656,"teacher_disagreement_score":0.015901221,"about_ca_system_score_codex":0.0009552526,"about_ca_system_score_gemma":0.0012609966,"threshold_uncertainty_score":0.031617284},"labels":[],"label_agreement":null},{"id":"W2062802747","doi":"10.1109/tvt.2014.2313865","title":"Security Enhancements for Mobile Ad Hoc Networks With Trust Management Using Uncertain Reasoning","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Communications Research Centre Canada; Carleton University","funders":"","keywords":"Computer science; Trust management (information system); Computer network; Wireless ad hoc network; Mobile ad hoc network; Network packet; Node (physics); Trust anchor; Routing protocol; Overhead (engineering); Scheme (mathematics); Network topology; Computer security; Wireless; Computational trust; Mathematics; Engineering","score_opus":0.007771689284809232,"score_gpt":0.2370758330244207,"score_spread":0.22930414373961147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062802747","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":[0.043253515,0.0012242504,0.9518071,0.00058427645,0.00011807307,0.00010936962,0.000038431983,0.00026542513,0.0025996347],"genre_scores_gemma":[0.9044329,0.00068724394,0.09367264,0.00012277794,0.000098409306,0.00007308773,0.0000686093,0.000014755561,0.00082950346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777126,0.00072114944,0.00023115239,0.0002767036,0.00079259934,0.00020713254],"domain_scores_gemma":[0.9967391,0.0013015942,0.00055577443,0.0006668304,0.0005834336,0.00015330254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002446272,0.00071396545,0.0007372055,0.000636901,0.00096491625,0.0012084898,0.0012501904,0.000906314,0.0007048404],"category_scores_gemma":[0.007260269,0.00028455973,0.0009075315,0.0006428209,0.0010292458,0.0039311275,0.0024642716,0.0013729883,0.00020297323],"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":[0.00088851573,0.0002785142,0.0047304383,0.0005226731,0.00031251932,0.001316739,0.0015711596,0.4388237,0.037317093,0.15968008,0.0040059052,0.35055283],"study_design_scores_gemma":[0.000037519934,0.00017018513,0.0003815514,0.000024089344,0.0000920202,0.0002553013,0.00011323828,0.9610264,0.004770723,0.0304775,0.0026169769,0.000034558394],"about_ca_topic_score_codex":0.0014337417,"about_ca_topic_score_gemma":0.001252471,"teacher_disagreement_score":0.002446272,"about_ca_system_score_codex":0.00092340674,"about_ca_system_score_gemma":0.00092438556,"threshold_uncertainty_score":0.012937307},"labels":[],"label_agreement":null},{"id":"W2063862284","doi":"10.1109/tvt.2013.2241091","title":"GSVD Beamforming for Two-User MIMO Downlink Channel","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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 Alberta","funders":"","keywords":"Beamforming; Precoding; Computer science; MIMO; Telecommunications link; Fading; Rayleigh fading; Channel (broadcasting); Channel state information; Electronic engineering; Algorithm; Telecommunications; Wireless; Engineering","score_opus":0.006963338413119992,"score_gpt":0.2155605062179824,"score_spread":0.2085971678048624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063862284","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":[0.0017172114,0.00016433938,0.9955786,0.0000651774,0.00004182535,0.000012845603,0.00003787593,0.000069721114,0.002312395],"genre_scores_gemma":[0.2387866,0.0025927334,0.74654573,0.00031292907,0.00023616092,0.0001833645,0.00047778524,0.00010593697,0.01075878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946266,0.00016477893,0.000021911603,0.0000730159,0.00022865839,0.000048974292],"domain_scores_gemma":[0.9996511,0.00011433248,0.000031225834,0.00006672944,0.000117333366,0.000019299441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591953,0.0010590557,0.00047954835,0.00034415888,0.0003173251,0.00092131423,0.000527402,0.0006920993,0.003372398],"category_scores_gemma":[0.0009823083,0.00023633288,0.00046278397,0.0006935869,0.00064495584,0.000710879,0.0007987772,0.000873428,0.0016213213],"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":[0.00013245051,0.000045758356,0.000540233,0.00028254912,0.000055494434,0.00026403117,0.00017940716,0.398492,0.06249516,0.27248883,0.0059402143,0.25908387],"study_design_scores_gemma":[0.000013953244,0.00006617564,0.00019374388,0.000033834367,0.000009078145,0.00017377078,0.000037065423,0.9384743,0.008886201,0.04345682,0.008621525,0.000033559732],"about_ca_topic_score_codex":0.00081932405,"about_ca_topic_score_gemma":0.0011834505,"teacher_disagreement_score":0.003372398,"about_ca_system_score_codex":0.00047195514,"about_ca_system_score_gemma":0.0006828786,"threshold_uncertainty_score":0.011281788},"labels":[],"label_agreement":null},{"id":"W2064330660","doi":"10.1109/tvt.2014.2305637","title":"A Six-Phase Current Reconstruction Scheme for Dual Traction Inverters in Hybrid Electric Vehicles With a Single DC-Link Current Sensor","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pulse-width modulation; Inverter; Duty cycle; Control theory (sociology); Current sensor; Modulation index; Voltage; Current (fluid); Electronic engineering; Modulation (music); Engineering; Traction (geology); Computer science; Electrical engineering; Physics; Acoustics","score_opus":0.015469285937218634,"score_gpt":0.2348726565148467,"score_spread":0.21940337057762807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064330660","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":[0.07940603,0.0004856454,0.9115841,0.00018192573,0.00013124928,0.00023488933,0.00006257921,0.00080622605,0.007107332],"genre_scores_gemma":[0.8492034,0.0002140556,0.14604093,0.00006675753,0.00004618923,0.000083140534,0.00008368767,0.000025491043,0.00423641],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996649,0.00003743241,0.000034324366,0.00007944281,0.0001554482,0.000028486284],"domain_scores_gemma":[0.99976534,0.00002858546,0.000049116275,0.000044218243,0.00009027588,0.00002256092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024930906,0.00046694238,0.00037038996,0.000543035,0.00045001003,0.00046393368,0.001267222,0.00043629715,0.0024305799],"category_scores_gemma":[0.00034527096,0.00020283624,0.00027899913,0.00034106313,0.00028346875,0.0011865597,0.00048766902,0.00060130155,0.0006403377],"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":[0.0007754335,0.00036718074,0.0014640221,0.00045788268,0.000051904084,0.00024263734,0.00030133128,0.014938709,0.3840927,0.019893833,0.0016927732,0.5757216],"study_design_scores_gemma":[0.00022596514,0.002203629,0.0024378125,0.000083092775,0.00012464523,0.0012910813,0.00016481658,0.5661904,0.38475543,0.0070746867,0.035348717,0.00009971028],"about_ca_topic_score_codex":0.0004064264,"about_ca_topic_score_gemma":0.0007266638,"teacher_disagreement_score":0.0024305799,"about_ca_system_score_codex":0.00035320804,"about_ca_system_score_gemma":0.00031901043,"threshold_uncertainty_score":0.008131146},"labels":[],"label_agreement":null},{"id":"W2066699411","doi":"10.1109/tvt.2013.2288038","title":"The Bottleneck Effect of Rician Fading in Dissimilar Dual-Hop AF Relaying Systems","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rician fading; Fading; Nakagami distribution; Cumulative distribution function; Probability density function; Fading distribution; Mathematics; Statistics; Algorithm; Computer science; Rayleigh fading","score_opus":0.011615642914112344,"score_gpt":0.24426304518550995,"score_spread":0.2326474022713976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066699411","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":[0.26135254,0.0029297436,0.72104734,0.00021023139,0.00005963547,0.0000352188,0.00011368313,0.0006140078,0.013637573],"genre_scores_gemma":[0.98892283,0.0010712518,0.008931071,0.00002386449,0.000025234232,0.000018685118,0.000029165165,0.000025942705,0.0009519346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956006,0.00012402516,0.00002390302,0.000060811148,0.00015327016,0.00007791837],"domain_scores_gemma":[0.9981609,0.0011107451,0.00023515428,0.00015933138,0.00029173912,0.000042121854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008910699,0.00084240426,0.0007697806,0.00074954215,0.0003956689,0.0010848494,0.00061586767,0.00047608028,0.0008171732],"category_scores_gemma":[0.004142099,0.00036806767,0.00035929913,0.00075714214,0.0008572494,0.0014429498,0.0007770038,0.0004945299,0.00032682816],"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":[0.00017279088,0.000040906194,0.0018977188,0.00017155285,0.00004832488,0.0007762265,0.0003105217,0.899344,0.016339578,0.04957506,0.000803175,0.030520143],"study_design_scores_gemma":[0.0000037877535,0.000052355983,0.00055175123,0.000014940392,0.000023954686,0.0002865859,0.00004486495,0.9889819,0.0021864723,0.007358416,0.0004747601,0.000020164385],"about_ca_topic_score_codex":0.0015612429,"about_ca_topic_score_gemma":0.0012361676,"teacher_disagreement_score":0.0015612429,"about_ca_system_score_codex":0.00091215386,"about_ca_system_score_gemma":0.0004918721,"threshold_uncertainty_score":0.0066182017},"labels":[],"label_agreement":null},{"id":"W2067706152","doi":"10.1109/tvt.2014.2378813","title":"Jamming in Dual-Hop Amplify-and-Forward Relaying","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Western University","funders":"","keywords":"Jamming; Nakagami distribution; Relay; Rayleigh fading; Fading; Hop (telecommunications); Computer science; Power (physics); Interference (communication); Outage probability; Transmitter power output; Electronic engineering; Transmission (telecommunications); Computer network; Telecommunications; Engineering; Transmitter; Physics; Channel (broadcasting)","score_opus":0.016196505112608985,"score_gpt":0.24906063901957487,"score_spread":0.2328641339069659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067706152","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":[0.711847,0.001296986,0.27838808,0.0002809741,0.000042315573,0.000033488424,0.00006173954,0.00016232792,0.00788699],"genre_scores_gemma":[0.99496436,0.00020413529,0.004253571,0.0000138282,0.000012568574,0.000008139838,0.000010261135,0.000004507115,0.00052859157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927515,0.0002695116,0.000027165168,0.000081555954,0.00020113117,0.00014553293],"domain_scores_gemma":[0.9968266,0.0021788757,0.00042333032,0.00011090609,0.00038313156,0.00007721132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010264595,0.00068898645,0.00082191627,0.00059927674,0.00052750076,0.0008932941,0.0005318545,0.0010335319,0.00042621742],"category_scores_gemma":[0.0035021119,0.00045387592,0.0003142267,0.0006252257,0.0009434444,0.0009089975,0.00071079057,0.00047615284,0.00015273542],"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":[0.00051911356,0.0000629507,0.0016891712,0.000118518605,0.0000649234,0.0007879513,0.00021333084,0.9502519,0.020263465,0.011841326,0.00028422542,0.013903193],"study_design_scores_gemma":[0.000010413544,0.00011164801,0.00040543193,0.000005902204,0.000024079576,0.00011376769,0.000030936604,0.99525946,0.0019331445,0.0019933984,0.000097288765,0.000014564584],"about_ca_topic_score_codex":0.0016004134,"about_ca_topic_score_gemma":0.0015111408,"teacher_disagreement_score":0.0016004134,"about_ca_system_score_codex":0.0007522875,"about_ca_system_score_gemma":0.00046386538,"threshold_uncertainty_score":0.0054582357},"labels":[],"label_agreement":null},{"id":"W2067752506","doi":"10.1109/tvt.2011.2170446","title":"An Auction-Based Pareto-Optimal Strategy for Dynamic and Fair Allotment of Resources in Wireless Mobile Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Quality of service; Computer network; Roaming; Reservation; Flexibility (engineering); Wireless; Handover; Pareto principle; Mobile computing; Wireless network; Distributed computing; Telecommunications; Engineering","score_opus":0.02259312717664481,"score_gpt":0.2653109166736859,"score_spread":0.2427177894970411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067752506","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":[0.015532062,0.0003488925,0.9748635,0.00026640925,0.000053726177,0.00016657035,0.000034669247,0.00009866219,0.008635489],"genre_scores_gemma":[0.7361604,0.00058179226,0.25562027,0.00014668428,0.000071529255,0.00039384415,0.000055201304,0.000060590355,0.0069097346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99807334,0.0010251418,0.000069605274,0.00013942958,0.00048471257,0.0002077027],"domain_scores_gemma":[0.998743,0.00071335083,0.0001159183,0.000110697816,0.00020083322,0.00011616929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036250646,0.00093023665,0.0012219073,0.0008874387,0.0011191858,0.0022414438,0.0022022233,0.0015735053,0.0026529827],"category_scores_gemma":[0.0050480147,0.00048674233,0.0008204815,0.0010768232,0.0021092421,0.0023323037,0.0014336482,0.0011678615,0.00046747125],"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":[0.00022078468,0.00014830615,0.0002984258,0.0001803247,0.00007458184,0.00024701538,0.0002652155,0.5435501,0.004422232,0.4054664,0.0028788366,0.04224791],"study_design_scores_gemma":[0.00006637755,0.00008542959,0.00006773012,0.000019610166,0.000014986735,0.00009340475,0.00003212675,0.91701114,0.0004918989,0.08031731,0.0017716817,0.000028328004],"about_ca_topic_score_codex":0.0024084074,"about_ca_topic_score_gemma":0.0021081674,"teacher_disagreement_score":0.0036250646,"about_ca_system_score_codex":0.0021734145,"about_ca_system_score_gemma":0.0030446374,"threshold_uncertainty_score":0.019171417},"labels":[],"label_agreement":null},{"id":"W2071996261","doi":"10.1109/tvt.2014.2356554","title":"Robust Multiuser Sequential Channel Sensing and Access in Dynamic Cognitive Radio Networks: Potential Games and Stochastic Learning","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":34,"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":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Cognitive radio; Computer science; Channel (broadcasting); Metric (unit); Set (abstract data type); Optimization problem; Interference (communication); Mathematical optimization; Stochastic optimization; Theoretical computer science; Algorithm; Computer network; Wireless; Mathematics; Engineering; Telecommunications","score_opus":0.010837534723231094,"score_gpt":0.22979570596050486,"score_spread":0.21895817123727376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071996261","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":[0.037925385,0.000507504,0.9554071,0.00091772084,0.000053376993,0.000072742325,0.00008304947,0.00007610096,0.004957042],"genre_scores_gemma":[0.94504,0.0005717404,0.049366876,0.00023990418,0.00008414115,0.00024219425,0.00007917654,0.000033899105,0.0043420326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972971,0.0013695523,0.00009090611,0.0004557364,0.0004391016,0.00034763303],"domain_scores_gemma":[0.99348724,0.0050549544,0.0006189577,0.00018147082,0.00035216715,0.0003051407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036555072,0.0014426893,0.0016410828,0.00072862266,0.00065905787,0.0019457306,0.0018977706,0.0020231456,0.0010605524],"category_scores_gemma":[0.008873686,0.0007220932,0.001131945,0.0008119089,0.0031579516,0.0027442938,0.0017235276,0.0017883265,0.00016358336],"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":[0.00007687518,0.000053637996,0.00038249925,0.000073025905,0.00006596636,0.00013052337,0.0001007327,0.8173478,0.0006867494,0.17472285,0.00057717145,0.0057821246],"study_design_scores_gemma":[0.0000146562725,0.000019721363,0.000058237303,0.0000060159887,0.0000059235786,0.000013692229,0.000013455689,0.9516111,0.00010080792,0.04796235,0.00018490946,0.00000916909],"about_ca_topic_score_codex":0.0071321004,"about_ca_topic_score_gemma":0.0043706517,"teacher_disagreement_score":0.0071321004,"about_ca_system_score_codex":0.0029397656,"about_ca_system_score_gemma":0.0021812557,"threshold_uncertainty_score":0.021329582},"labels":[],"label_agreement":null},{"id":"W2072392101","doi":"10.1109/25.938578","title":"Forward-link capacity in smart antenna base stations with dynamic slot allocation","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; IBM (Canada)","funders":"","keywords":"Space-division multiple access; Base station; Computer network; Time division multiple access; Computer science; Network packet; Channel (broadcasting); Smart antenna; Real-time computing; Engineering; Directional antenna; Antenna (radio); Telecommunications","score_opus":0.025074392616187276,"score_gpt":0.2583724736561336,"score_spread":0.23329808103994631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072392101","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":[0.78592956,0.00091206585,0.20016937,0.00048760182,0.00009073649,0.00006225068,0.00019726895,0.00035676875,0.0117943855],"genre_scores_gemma":[0.993216,0.00024746533,0.0049254242,0.000026957583,0.000029740659,0.000029520164,0.00006033254,0.000016825474,0.0014478428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895394,0.0002506878,0.000022215945,0.000109361565,0.00025234814,0.0004113854],"domain_scores_gemma":[0.9942245,0.003967936,0.0005458246,0.00037334076,0.00062662584,0.00026180086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023084318,0.0004984416,0.00072462164,0.00093808875,0.00068057864,0.0014244221,0.0011893406,0.0010233207,0.0021588576],"category_scores_gemma":[0.0069850273,0.0006364505,0.00039821476,0.0012981583,0.0020283232,0.0018753598,0.00126343,0.00068698317,0.00042392054],"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":[0.0002094337,0.00004614916,0.0007364414,0.000045684254,0.000026048056,0.00013888527,0.00007301743,0.9748104,0.002926787,0.015776964,0.00043002277,0.0047801547],"study_design_scores_gemma":[0.000035498484,0.00008233982,0.00041498904,0.0000064984238,0.000023601058,0.00004017004,0.00004262683,0.98899627,0.0017731047,0.008249242,0.0003213666,0.000014281849],"about_ca_topic_score_codex":0.00705719,"about_ca_topic_score_gemma":0.003284038,"teacher_disagreement_score":0.00705719,"about_ca_system_score_codex":0.0020503553,"about_ca_system_score_gemma":0.0011988898,"threshold_uncertainty_score":0.014876425},"labels":[],"label_agreement":null},{"id":"W2073828864","doi":"10.1109/tvt.2014.2326107","title":"Identification of SM-OFDM and AL-OFDM Signals Based on Their Second-Order Cyclostationarity","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Identification (biology); Multiplexing; Channel (broadcasting); Sensitivity (control systems); SIGNAL (programming language); Signal processing; Cognitive radio; Orthogonal frequency-division multiplexing; Detection theory","score_opus":0.010785896645336078,"score_gpt":0.23205518938173986,"score_spread":0.22126929273640378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073828864","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":[0.044640586,0.00018832649,0.9519317,0.000094277406,0.000038826285,0.00004574837,0.000057857946,0.00024950042,0.0027530978],"genre_scores_gemma":[0.5182901,0.00034124948,0.477673,0.000102730315,0.00010227204,0.0001312374,0.00023440285,0.00005345638,0.003071587],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995339,0.00010241986,0.000033613465,0.00008124756,0.00020010407,0.000048768183],"domain_scores_gemma":[0.9983253,0.0008847053,0.00027549476,0.00015955989,0.00031623515,0.000038721948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005871452,0.0006023889,0.00027994366,0.0010977362,0.00039654586,0.0006519734,0.0003618183,0.0005244721,0.0010391214],"category_scores_gemma":[0.003421733,0.00017322903,0.00024940938,0.00073912623,0.00058808,0.00078959955,0.0005737749,0.0007207017,0.00047116698],"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":[0.00051361293,0.00018204896,0.006199237,0.00023833316,0.000055686123,0.00034632537,0.00033767422,0.088819124,0.11735307,0.05899343,0.0017881314,0.72517335],"study_design_scores_gemma":[0.000016273862,0.00016736373,0.0024015019,0.000027930555,0.000012733423,0.0007214764,0.0000745045,0.9343053,0.04873389,0.009937189,0.0035673769,0.000034435998],"about_ca_topic_score_codex":0.0004633819,"about_ca_topic_score_gemma":0.00069038454,"teacher_disagreement_score":0.0010977362,"about_ca_system_score_codex":0.0002952117,"about_ca_system_score_gemma":0.0006262467,"threshold_uncertainty_score":0.0034762025},"labels":[],"label_agreement":null},{"id":"W2074141110","doi":"10.1109/tvt.2012.2183400","title":"Throughput and Energy Optimization in Wireless Networks: Joint MAC Scheduling and Network Coding","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Linear network coding; Computer science; Wireless network; Maximum throughput scheduling; Scheduling (production processes); Computer network; Multicast; Wireless; Distributed computing; Wireless WAN; Radio resource management; Dynamic priority scheduling; Wi-Fi array; Mathematical optimization; Round-robin scheduling; Quality of service; Telecommunications; Mathematics","score_opus":0.019727256650377566,"score_gpt":0.23902423697962685,"score_spread":0.2192969803292493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074141110","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":[0.01872938,0.00096551375,0.9755172,0.00035309076,0.000040461193,0.00002386063,0.000025512958,0.00007702916,0.0042680367],"genre_scores_gemma":[0.81634516,0.0018819355,0.17770189,0.00012816602,0.00026301097,0.00015384854,0.00007710255,0.00011822374,0.003330635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986481,0.000644916,0.000043281663,0.00012488612,0.00040778436,0.00013104614],"domain_scores_gemma":[0.9971945,0.0019356362,0.00025899019,0.0003018961,0.00026586626,0.000042972148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025996184,0.0007677232,0.0006718404,0.0007323913,0.00042104718,0.0011706047,0.0007354666,0.0007791693,0.00075938395],"category_scores_gemma":[0.0069122226,0.0003421176,0.00048608342,0.0016384029,0.0014253041,0.0023034478,0.0008659826,0.0010209214,0.00019068475],"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":[0.00007768178,0.000057068162,0.0005179549,0.000075467025,0.000035611472,0.000036951755,0.000062421444,0.8093267,0.0036977387,0.14315604,0.00072542543,0.04223091],"study_design_scores_gemma":[0.000007764555,0.000047663707,0.00022915394,0.000014091098,0.000011572123,0.00002651008,0.000016466875,0.942628,0.0026395728,0.053484555,0.0008844805,0.000010153513],"about_ca_topic_score_codex":0.0015169125,"about_ca_topic_score_gemma":0.0011181398,"teacher_disagreement_score":0.0025996184,"about_ca_system_score_codex":0.0013503876,"about_ca_system_score_gemma":0.001406742,"threshold_uncertainty_score":0.013748229},"labels":[],"label_agreement":null},{"id":"W2075146768","doi":"10.1109/tvt.2011.2162428","title":"Net Throughput Maximization of Per-Chunk User Scheduling for MIMO-OFDM Downlink","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Telecommunications link; Scheduling (production processes); Orthogonal frequency-division multiplexing; Computer science; MIMO; Throughput; Multiplexing; Real-time computing; Channel state information; Overhead (engineering); Computer network; Channel (broadcasting); Mathematics; Wireless; Mathematical optimization; Telecommunications","score_opus":0.014603725438976823,"score_gpt":0.21561569979422338,"score_spread":0.20101197435524656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075146768","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":[0.23148367,0.00116172,0.75483245,0.00024453393,0.00010577888,0.0000968905,0.0002200729,0.00026373687,0.011591056],"genre_scores_gemma":[0.98049587,0.00032036708,0.018101344,0.000031036874,0.000039099217,0.000042071453,0.000044827306,0.000017252312,0.000908027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954176,0.00017501476,0.000016682077,0.000057003563,0.00011888054,0.00009067938],"domain_scores_gemma":[0.998637,0.0008382526,0.00012768204,0.00009693762,0.00024316231,0.000056862908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081306475,0.0006882774,0.000883231,0.00028487813,0.00045034432,0.0006457708,0.000509747,0.0003515304,0.0013314253],"category_scores_gemma":[0.002540838,0.00021777498,0.000292179,0.0005075299,0.00052861014,0.0006135725,0.00048579052,0.00026087178,0.00021284958],"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":[0.00037383894,0.00006534112,0.00087140856,0.00019474595,0.00004575195,0.00019818229,0.00009031179,0.94157654,0.019238507,0.011407367,0.0015078848,0.024430215],"study_design_scores_gemma":[0.0000074614654,0.00009009568,0.0003258697,0.0000065036315,0.000015111421,0.00004654743,0.000027273782,0.99350363,0.0034767524,0.0022737572,0.00021917807,0.000007867707],"about_ca_topic_score_codex":0.0017632254,"about_ca_topic_score_gemma":0.0025425076,"teacher_disagreement_score":0.0017632254,"about_ca_system_score_codex":0.0010527375,"about_ca_system_score_gemma":0.0010080276,"threshold_uncertainty_score":0.0076381564},"labels":[],"label_agreement":null},{"id":"W2076367212","doi":"10.1109/tvt.2014.2339734","title":"Mobile Localization in Non-Line-of-Sight Using Constrained Square-Root Unscented Kalman Filter","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariance intersection; Unscented transform; Control theory (sociology); Kalman filter; Quadratic programming; Covariance matrix; Extended Kalman filter; Convex optimization; Cholesky decomposition","score_opus":0.008627087780360566,"score_gpt":0.2263486633386372,"score_spread":0.21772157555827665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076367212","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":[0.0062248223,0.000101134276,0.99301976,0.00003521767,0.000015070651,0.000010463415,0.000016437418,0.00011665155,0.0004603422],"genre_scores_gemma":[0.6916766,0.0007531589,0.30313182,0.00010590297,0.00006607662,0.00013791752,0.0002490388,0.000065328044,0.0038140982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942964,0.00013157388,0.000031444753,0.00016233206,0.00018856149,0.00005637559],"domain_scores_gemma":[0.9994537,0.00023178697,0.00010837249,0.000056014986,0.00012953197,0.000020584135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049696164,0.0007290276,0.0008370776,0.00040278462,0.00032000832,0.0006454576,0.0008678537,0.00075417134,0.0007488785],"category_scores_gemma":[0.0017151224,0.0003673881,0.000719996,0.0008218036,0.0005585204,0.0014020556,0.00093005766,0.0006426828,0.00031694776],"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":[0.00012316258,0.000043862026,0.0011669805,0.00014392176,0.00007093863,0.00020573751,0.0001280974,0.8962937,0.013367082,0.009812544,0.0008742902,0.07776966],"study_design_scores_gemma":[0.000007640437,0.00003706074,0.00022013338,0.0000051651264,0.0000078991125,0.00003223651,0.000011348414,0.99628204,0.0014959336,0.0013047734,0.000587486,0.000008213722],"about_ca_topic_score_codex":0.009557503,"about_ca_topic_score_gemma":0.008058381,"teacher_disagreement_score":0.009557503,"about_ca_system_score_codex":0.0004990161,"about_ca_system_score_gemma":0.0011694975,"threshold_uncertainty_score":0.019003749},"labels":[],"label_agreement":null},{"id":"W2078943084","doi":"10.1109/tvt.2012.2214411","title":"Two-Layer Energy-Management Architecture for a Fuel Cell HEV Using Road Trip Information","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":59,"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 Trois-Rivières","funders":"","keywords":"Automotive engineering; Battery (electricity); Energy management; Energy consumption; Fuel efficiency; Engineering; Electricity; Computer science; Power (physics); Simulation; Energy (signal processing); Electrical engineering","score_opus":0.009658301888025017,"score_gpt":0.2150653200973969,"score_spread":0.20540701820937188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078943084","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":[0.13771512,0.000453713,0.84748274,0.0004885197,0.00014375198,0.00030870817,0.00015034736,0.003521348,0.009735812],"genre_scores_gemma":[0.942244,0.00013822944,0.050662734,0.00014618551,0.000038218546,0.00018154987,0.00013904189,0.000034211313,0.0064158305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997392,0.000030267296,0.0000219129,0.000085577965,0.0000727363,0.000050240702],"domain_scores_gemma":[0.9998448,0.000022555483,0.000017409424,0.000024383035,0.000073307885,0.000017567167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029593144,0.00061779184,0.00050422037,0.00029941704,0.0007375839,0.0013467341,0.0018176811,0.0008164576,0.003084761],"category_scores_gemma":[0.00034089768,0.0003286037,0.00035176342,0.00019836135,0.00024442756,0.0011865207,0.0008013418,0.0006428874,0.0007913045],"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":[0.00067367364,0.0007428907,0.004976486,0.00030553064,0.00027718686,0.00058258075,0.00044739383,0.66015154,0.0944442,0.010604167,0.004704375,0.22208999],"study_design_scores_gemma":[0.000035981608,0.00014640685,0.0006852433,0.000010784779,0.0000519016,0.00005844699,0.000043954944,0.9794464,0.015061241,0.0015544597,0.0028807533,0.000024322377],"about_ca_topic_score_codex":0.0060606236,"about_ca_topic_score_gemma":0.0062658396,"teacher_disagreement_score":0.0060606236,"about_ca_system_score_codex":0.00065934745,"about_ca_system_score_gemma":0.0008357454,"threshold_uncertainty_score":0.012050688},"labels":[],"label_agreement":null},{"id":"W2081186775","doi":"10.1109/tvt.2014.2298395","title":"Performance of $p$-Norm Detector in AWGN, Fading, and Diversity Reception","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":21,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Additive white Gaussian noise; Norm (philosophy); Fading; Mathematics; Discrete mathematics; Applied mathematics; Statistics; White noise; Decoding methods","score_opus":0.007784681729663835,"score_gpt":0.19729899340125726,"score_spread":0.1895143116715934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081186775","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":[0.23909408,0.001186504,0.7377082,0.00086459896,0.00015860917,0.000079697966,0.00032616197,0.0018634296,0.018718632],"genre_scores_gemma":[0.91346467,0.00041914565,0.082846135,0.0002641476,0.000057355304,0.00005590013,0.00033130188,0.00006655318,0.0024948427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725866,0.0009484184,0.00011011329,0.00043717827,0.0008372421,0.0004083261],"domain_scores_gemma":[0.9937801,0.004320442,0.00030040563,0.0003363806,0.0010986978,0.00016400543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039015126,0.0009355735,0.0008478432,0.00068270974,0.0006885077,0.0015245881,0.00074540504,0.0016311294,0.0016560907],"category_scores_gemma":[0.012491317,0.00029778836,0.0004367951,0.00062921055,0.0013486826,0.0018885676,0.0012532753,0.00091184105,0.00065870216],"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":[0.0029204297,0.00023842884,0.009944556,0.00032761527,0.00025728383,0.00068503467,0.00026915869,0.734322,0.04243666,0.05284048,0.003443244,0.1523151],"study_design_scores_gemma":[0.000023247032,0.0002182704,0.0010867267,0.00002371431,0.000023476217,0.00047062043,0.000039521492,0.9762245,0.0151284095,0.006175355,0.00053799874,0.000048219797],"about_ca_topic_score_codex":0.0024968644,"about_ca_topic_score_gemma":0.001581707,"teacher_disagreement_score":0.0039015126,"about_ca_system_score_codex":0.0009703379,"about_ca_system_score_gemma":0.0019037965,"threshold_uncertainty_score":0.0206334},"labels":[],"label_agreement":null},{"id":"W2081466378","doi":"10.1109/tvt.2012.2224679","title":"Regenerative Cooperative Diversity Networks With Co-channel Interference: Performance Analysis and Optimal Energy Allocation","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Outage probability; Co-channel interference; Computer science; Interference (communication); Performance metric; Monte Carlo method; Fading; Channel (broadcasting); Expression (computer science); Electronic engineering; Mathematical optimization; Topology (electrical circuits); Computer network; Mathematics; Engineering; Electrical engineering; Statistics","score_opus":0.0175557311361746,"score_gpt":0.2351047222473686,"score_spread":0.21754899111119402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081466378","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":[0.27634048,0.002846375,0.6988114,0.00070375466,0.00005663174,0.00007813354,0.00008418837,0.00032155955,0.020757448],"genre_scores_gemma":[0.98877674,0.00045470143,0.009660195,0.000035573114,0.000026016194,0.000034957236,0.000018871438,0.000013350533,0.000979671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888796,0.00046689785,0.000028413075,0.000083147504,0.00031731572,0.00021619436],"domain_scores_gemma":[0.99507743,0.0036262302,0.00047502865,0.00020705516,0.00051419355,0.00009995035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017158099,0.0011597924,0.0010464172,0.00071656314,0.00070449326,0.001121169,0.0013130296,0.0012612381,0.0010185563],"category_scores_gemma":[0.005090961,0.00041914175,0.00046312445,0.001291366,0.0016092316,0.0011156194,0.0013372762,0.00070400396,0.00021221211],"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":[0.00011852684,0.000039535127,0.0004313048,0.000085390486,0.000035316316,0.00023868804,0.00014323131,0.96495926,0.0039356886,0.0215392,0.00030681983,0.008166988],"study_design_scores_gemma":[0.0000067035744,0.000044738317,0.00012294471,0.000006311976,0.000017149647,0.00009327655,0.00003799018,0.9939926,0.0008541357,0.004677545,0.00013678441,0.000009815678],"about_ca_topic_score_codex":0.0026694746,"about_ca_topic_score_gemma":0.0032237326,"teacher_disagreement_score":0.0026694746,"about_ca_system_score_codex":0.0016211275,"about_ca_system_score_gemma":0.0008550558,"threshold_uncertainty_score":0.011762142},"labels":[],"label_agreement":null},{"id":"W2083262093","doi":"10.1109/tvt.2013.2252931","title":"A Multihop-Authenticated Proxy Mobile IP Scheme for Asymmetric VANETs","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":31,"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 Waterloo","funders":"Universidad ICESI","keywords":"Computer network; Computer science; Handover; Wireless ad hoc network; Vehicular ad hoc network; Mobility management; Transmission (telecommunications); Telecommunications; Wireless","score_opus":0.00607315678606269,"score_gpt":0.20985503659955645,"score_spread":0.20378187981349377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083262093","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":[0.08910739,0.0011978827,0.90033096,0.00033623545,0.00031030632,0.0003605189,0.00008334659,0.0007991248,0.0074741864],"genre_scores_gemma":[0.9216656,0.0003024432,0.0755552,0.00009238143,0.000064533735,0.00013212449,0.00009060291,0.000027391417,0.0020696998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989827,0.00038203175,0.00009750959,0.000105924126,0.00026565554,0.00016609672],"domain_scores_gemma":[0.9986872,0.0002557782,0.0002380873,0.00046080822,0.00024626162,0.00011183164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009146141,0.00054443016,0.0006098729,0.00076898,0.00085937616,0.00084412144,0.0017187578,0.00080998935,0.0012073393],"category_scores_gemma":[0.0028007831,0.00018756067,0.0004377855,0.00064431224,0.0007180216,0.0018934835,0.0022290673,0.0010087212,0.00034663326],"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":[0.0011618492,0.0003085603,0.002003483,0.0005954128,0.000151342,0.0021094396,0.0009369379,0.20419046,0.15612587,0.33151716,0.0050085215,0.29589093],"study_design_scores_gemma":[0.000101643716,0.0010656381,0.0005434863,0.000052316012,0.00009602174,0.0017791729,0.00017907072,0.9074639,0.038416777,0.025596643,0.024592211,0.00011319899],"about_ca_topic_score_codex":0.00042663125,"about_ca_topic_score_gemma":0.0003257484,"teacher_disagreement_score":0.0017187578,"about_ca_system_score_codex":0.00055989047,"about_ca_system_score_gemma":0.000530397,"threshold_uncertainty_score":0.004837036},"labels":[],"label_agreement":null},{"id":"W2083406101","doi":"10.1109/tvt.2014.2353646","title":"Cellular OFDMA Cognitive Radio Networks: Generalized Spectral Footprint Minimization","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Orthogonal frequency-division multiple access; Mathematical optimization; Cognitive radio; Computer science; Telecommunications link; Resource allocation; Geometric programming; Transmitter power output; Computational complexity theory; Base station; Optimization problem; Frequency-division multiple access; Algorithm; Orthogonal frequency-division multiplexing; Transmitter; Mathematics; Computer network; Wireless; Telecommunications","score_opus":0.005828317480759045,"score_gpt":0.19725537768265727,"score_spread":0.19142706020189823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083406101","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":[0.04912402,0.00053732767,0.9450424,0.00014621056,0.00003509803,0.000027990061,0.000041299816,0.00011582057,0.004929806],"genre_scores_gemma":[0.8722883,0.000658709,0.12410372,0.00011852375,0.00005992204,0.00011945118,0.00006460189,0.000028239381,0.002558513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996327,0.00012381175,0.000007894042,0.00004953951,0.00010551721,0.00008053351],"domain_scores_gemma":[0.99961793,0.00022551668,0.00004684122,0.000034124838,0.00005562379,0.00001987021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004756806,0.00069655885,0.0006157382,0.00022071894,0.00028394914,0.0006866359,0.00071826315,0.0005762024,0.00068347016],"category_scores_gemma":[0.001294574,0.00018613132,0.00029888595,0.0007069919,0.0005537281,0.0004815297,0.00070366357,0.00050446746,0.00012615189],"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":[0.000042014013,0.000040055504,0.00025866478,0.00004472509,0.000021415131,0.00007436293,0.000043517754,0.9564294,0.0030012336,0.012331641,0.0005493209,0.027163701],"study_design_scores_gemma":[0.000004106238,0.000014850161,0.000053504777,0.0000016740961,0.0000037124587,0.000011994781,0.0000073838382,0.9962064,0.00032002453,0.003138465,0.00023570834,0.0000021631588],"about_ca_topic_score_codex":0.004428111,"about_ca_topic_score_gemma":0.003962991,"teacher_disagreement_score":0.004428111,"about_ca_system_score_codex":0.0006976507,"about_ca_system_score_gemma":0.00094873883,"threshold_uncertainty_score":0.008804679},"labels":[],"label_agreement":null},{"id":"W2084451671","doi":"10.1109/tvt.2012.2190629","title":"Full Diversity Blind Signal Designs for Unique Identification of Frequency Selective Channels","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"McMaster University","funders":"","keywords":"Phase-shift keying; Algorithm; Fading; Computer science; Channel (broadcasting); Mathematics; Telecommunications; Bit error rate","score_opus":0.02822876898856398,"score_gpt":0.26247963819256687,"score_spread":0.2342508692040029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084451671","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":[0.005694622,0.0001672879,0.9915794,0.00009934116,0.000051778916,0.000023718258,0.0000621941,0.00011937811,0.0022022815],"genre_scores_gemma":[0.34072483,0.0008509801,0.6492531,0.00047949262,0.00028761956,0.00028231647,0.0003689286,0.000094243114,0.0076584425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766064,0.0007348073,0.00013580802,0.00049298856,0.00071653666,0.00025921504],"domain_scores_gemma":[0.99738234,0.0011474626,0.00028865933,0.00056935305,0.00051110133,0.0001010019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002162538,0.0011942675,0.0008529539,0.0010630393,0.00071201904,0.0013823109,0.0010368644,0.0012545055,0.0042755525],"category_scores_gemma":[0.0077338587,0.000564343,0.00076925376,0.000987456,0.0014241529,0.0028669476,0.002023869,0.0014767514,0.0017724548],"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":[0.00048545486,0.00010387043,0.0005586291,0.00024790163,0.000092785216,0.00013696287,0.0003493339,0.121036336,0.02460239,0.5329524,0.0038832058,0.31555063],"study_design_scores_gemma":[0.0001036021,0.00040007528,0.00034608349,0.00008586327,0.0000545224,0.0003962954,0.00008634126,0.6544974,0.027871672,0.30334508,0.012700951,0.000112092595],"about_ca_topic_score_codex":0.00047178107,"about_ca_topic_score_gemma":0.0006542036,"teacher_disagreement_score":0.0042755525,"about_ca_system_score_codex":0.0007047364,"about_ca_system_score_gemma":0.0013669339,"threshold_uncertainty_score":0.014303148},"labels":[],"label_agreement":null},{"id":"W2085543526","doi":"10.1109/tvt.2013.2284337","title":"A Generic Interference Model for Uplink OFDMA Networks With Fractional Frequency Reuse","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"University of Manitoba","funders":"","keywords":"Telecommunications link; Rayleigh fading; Computer science; Cellular network; Orthogonal frequency-division multiplexing; Orthogonal frequency-division multiple access; Fading; Frequency-division multiple access; Electronic engineering; Channel allocation schemes; Wireless network; Computer network; Channel (broadcasting); Wireless; Engineering; Telecommunications","score_opus":0.010612358665187109,"score_gpt":0.20632431200459125,"score_spread":0.19571195333940414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085543526","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":[0.014329576,0.00073116936,0.9716598,0.00026311327,0.000057737612,0.00006598472,0.00026186966,0.00018407566,0.01244661],"genre_scores_gemma":[0.89161754,0.0028791358,0.086185895,0.00032148912,0.00021632803,0.00040893478,0.0003706068,0.000115526775,0.017884476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994419,0.0001580756,0.000022246222,0.00009719624,0.00017924224,0.000101359015],"domain_scores_gemma":[0.99933004,0.00032197475,0.00013389433,0.000048441816,0.00014272319,0.000022968436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008587496,0.0011132752,0.0008451069,0.0007892151,0.0006888654,0.0011650571,0.0017201564,0.0016971632,0.0017632649],"category_scores_gemma":[0.002078644,0.00042744316,0.00082011375,0.0014746891,0.0010278118,0.0016029838,0.0008760894,0.0012119504,0.0007905715],"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":[0.000018527051,0.000020515146,0.00030542523,0.000050347535,0.00001271403,0.00019891445,0.00009355361,0.9358165,0.0019893164,0.056057278,0.0008082589,0.0046286234],"study_design_scores_gemma":[0.0000019605577,0.000008906579,0.00006294548,0.000004386178,0.0000050597578,0.000039523253,0.000010624106,0.99521554,0.00014649534,0.004057424,0.0004422924,0.0000048854276],"about_ca_topic_score_codex":0.006491744,"about_ca_topic_score_gemma":0.004521891,"teacher_disagreement_score":0.006491744,"about_ca_system_score_codex":0.0018089483,"about_ca_system_score_gemma":0.0008142158,"threshold_uncertainty_score":0.013124824},"labels":[],"label_agreement":null},{"id":"W2086205450","doi":"10.1109/tvt.2013.2291360","title":"Recovery in Channel-Hopping Cognitive Networks Under Random Primary-User Activity","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":16,"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":"Backup; Channel (broadcasting); Rendezvous; Computer network; Computer science; Cognitive radio; Probabilistic logic; Distributed computing; Engineering; Telecommunications; Wireless; Artificial intelligence","score_opus":0.007970538908778574,"score_gpt":0.2125961810405454,"score_spread":0.20462564213176682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086205450","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":[0.7234634,0.0004652981,0.27264622,0.0004415649,0.00004909691,0.000091772265,0.00006579724,0.0002774998,0.002499463],"genre_scores_gemma":[0.99730957,0.00007461628,0.00236687,0.000020555142,0.000009549142,0.000015458203,0.000007396542,0.000005918537,0.00019006712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998319,0.00058930897,0.00004999853,0.0001846004,0.00036020574,0.0004969138],"domain_scores_gemma":[0.98059446,0.015306809,0.0019092809,0.000564208,0.0011227038,0.0005025658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041595018,0.0010663318,0.000991761,0.0009439376,0.00084463885,0.000959208,0.0013788287,0.0011800554,0.0005238089],"category_scores_gemma":[0.020891402,0.00044738068,0.0004765638,0.00070345175,0.0025646056,0.0015888588,0.0015012409,0.00074951863,0.00009296597],"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":[0.00033152686,0.000085776715,0.0017095021,0.000059415735,0.000043715132,0.00025378424,0.00017195678,0.97790504,0.003000971,0.011149848,0.00022490298,0.0050636604],"study_design_scores_gemma":[0.00002501004,0.00008302008,0.00030578996,0.0000047642816,0.000017591325,0.000058533213,0.000047708174,0.9946853,0.0007480431,0.003981245,0.000031202715,0.000011807937],"about_ca_topic_score_codex":0.0056033502,"about_ca_topic_score_gemma":0.001930554,"teacher_disagreement_score":0.0056033502,"about_ca_system_score_codex":0.0013254377,"about_ca_system_score_gemma":0.0011425643,"threshold_uncertainty_score":0.02199775},"labels":[],"label_agreement":null},{"id":"W2086903108","doi":"10.1109/tvt.2013.2258694","title":"A New Delay Analysis for IEEE 802.11 PCF","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Quality of service; Scalability; Protocol (science); Homogeneous; Computer network; IEEE 802; Distributed computing","score_opus":0.013629722574135625,"score_gpt":0.24622682872705207,"score_spread":0.23259710615291646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086903108","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":[0.004514211,0.0017609684,0.986573,0.00020598526,0.00025711794,0.000057282312,0.0000789652,0.00016522426,0.0063873944],"genre_scores_gemma":[0.601947,0.010078584,0.36336407,0.00078323216,0.0018208358,0.00043622334,0.0004211494,0.0004911748,0.020657709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849224,0.00016832474,0.00006738131,0.00027888693,0.0008202253,0.00017297074],"domain_scores_gemma":[0.99847895,0.0005714037,0.00013522035,0.00018323582,0.000576848,0.000054425065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011734365,0.0015945573,0.00058117474,0.0023988218,0.0008215111,0.0015490596,0.0012904701,0.000751185,0.0026270498],"category_scores_gemma":[0.0053305267,0.00040388483,0.0008127982,0.0011623506,0.000909903,0.0030770001,0.00093894626,0.0021074524,0.00082594866],"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":[0.00008947174,0.00008683169,0.001160405,0.00030129057,0.000056402434,0.00031491256,0.00026116383,0.49220145,0.03675769,0.32381582,0.008163757,0.1367908],"study_design_scores_gemma":[0.000005701437,0.00005310861,0.00022306529,0.000030078052,0.000021862765,0.0001868245,0.000026788095,0.95970863,0.003192885,0.02301056,0.013504754,0.00003571329],"about_ca_topic_score_codex":0.006436934,"about_ca_topic_score_gemma":0.0024076172,"teacher_disagreement_score":0.006436934,"about_ca_system_score_codex":0.0022681959,"about_ca_system_score_gemma":0.0016685002,"threshold_uncertainty_score":0.016456962},"labels":[],"label_agreement":null},{"id":"W2087228997","doi":"10.1109/tvt.2013.2274801","title":"Performance Analysis of Full-Duplex Relaying Employing Fiber-Connected Distributed Antennas","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":23,"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":"","keywords":"Electronic engineering; Duplex (building); Directional antenna; Computer science; Electrical engineering; Engineering; Telecommunications; Antenna (radio)","score_opus":0.009644981526059105,"score_gpt":0.20703012520806208,"score_spread":0.19738514368200297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087228997","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":[0.7343158,0.0026690306,0.24201156,0.00039181393,0.000047559744,0.000059134272,0.00024639882,0.00038152587,0.019877145],"genre_scores_gemma":[0.99660504,0.0002548159,0.0023350667,0.000011926381,0.00001119489,0.0000072432563,0.000029568115,0.00000832263,0.0007368549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936026,0.0002180714,0.000019941448,0.00008275596,0.00019189953,0.0001270559],"domain_scores_gemma":[0.99698895,0.0018437497,0.000330331,0.00017953398,0.00060039136,0.000057106325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087681215,0.00070699863,0.00057395705,0.0006097677,0.0004328299,0.00087627885,0.0006383537,0.0007961744,0.001213385],"category_scores_gemma":[0.0026258957,0.00021459637,0.0003719334,0.0006526753,0.0007547358,0.00071131776,0.0005153944,0.00032395308,0.0003259982],"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":[0.00030376457,0.000044004246,0.0019919171,0.000099955156,0.00006699284,0.000306272,0.00013568488,0.94986033,0.022562975,0.013240348,0.00042108347,0.010966726],"study_design_scores_gemma":[0.0000057993643,0.000081587714,0.0005234854,0.0000050393437,0.0000138698515,0.00009039812,0.00002428475,0.99642247,0.0018338533,0.0008422103,0.00014767796,0.000009379782],"about_ca_topic_score_codex":0.00425474,"about_ca_topic_score_gemma":0.0025766164,"teacher_disagreement_score":0.00425474,"about_ca_system_score_codex":0.0015552804,"about_ca_system_score_gemma":0.00061282906,"threshold_uncertainty_score":0.011284411},"labels":[],"label_agreement":null},{"id":"W2087329791","doi":"10.1109/tvt.2014.2344026","title":"Vehicle Occupant Head Position Quantification Using an Array of Capacitive Proximity Sensors","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":27,"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 British Columbia","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitive sensing; Head (geology); Position (finance); Proximity sensor; Range (aeronautics); Computer science; Position sensor; Engineering; Simulation; Electrical engineering; Aerospace engineering","score_opus":0.0372590085804229,"score_gpt":0.300271510747807,"score_spread":0.2630125021673841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087329791","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":[0.7293618,0.0005296464,0.2672248,0.00007024364,0.000062481944,0.00007289082,0.00022682559,0.00045067322,0.0020006162],"genre_scores_gemma":[0.93836963,0.00022813417,0.060597736,0.00004063103,0.00001708438,0.000043044936,0.000066332286,0.0000072537264,0.0006301708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997788,0.000029836818,0.000008981983,0.00007286756,0.00009480991,0.000014811908],"domain_scores_gemma":[0.99982303,0.000034695502,0.00004364405,0.000016755757,0.00007325541,0.000008668343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018324057,0.00031466226,0.0001981139,0.00040681617,0.0001115654,0.00019899804,0.0003566169,0.0003237018,0.00040081886],"category_scores_gemma":[0.00044994787,0.00014587425,0.00015765845,0.00033335536,0.00010699087,0.00030626205,0.00032805215,0.00012841016,0.00011896493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027218478,0.00008124553,0.010257659,0.00018819522,0.00004364423,0.00015086302,0.00017699835,0.018706273,0.8776641,0.00034580298,0.00036261274,0.091750376],"study_design_scores_gemma":[0.00003067007,0.0011319126,0.03375519,0.00002822231,0.00009127056,0.0004850069,0.00023597405,0.30785376,0.65348625,0.00032979262,0.0024786252,0.000093206174],"about_ca_topic_score_codex":0.00067091134,"about_ca_topic_score_gemma":0.001211404,"teacher_disagreement_score":0.00067091134,"about_ca_system_score_codex":0.00015922435,"about_ca_system_score_gemma":0.00014710668,"threshold_uncertainty_score":0.0013408661},"labels":[],"label_agreement":null},{"id":"W2088327387","doi":"10.1109/tvt.2014.2331756","title":"Low-Complexity Full-Rate Transmission Scheme With Full Diversity for Two-Path Relay Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"University of Victoria","funders":"King Abdullah University of Science and Technology","keywords":"Relay; Decoding methods; Diversity gain; Transmission (telecommunications); Path (computing); Computer science; Block (permutation group theory); Full Rate; Cooperative diversity; Algorithm; Topology (electrical circuits); Mathematics; Telecommunications; Computer network; Fading","score_opus":0.02326955982056844,"score_gpt":0.24603806669610906,"score_spread":0.22276850687554062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088327387","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":[0.054461528,0.00093093107,0.9396273,0.00020830242,0.0000620098,0.00009304859,0.00009870214,0.00043429606,0.0040838392],"genre_scores_gemma":[0.82765925,0.0006575754,0.1687986,0.00012571752,0.00005135725,0.00015176521,0.00011024109,0.000028318143,0.0024170415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993906,0.00019843642,0.000043757467,0.000074563475,0.00021294602,0.000079820726],"domain_scores_gemma":[0.9990847,0.0003434977,0.00011473036,0.0002325745,0.0001814527,0.00004298255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007936172,0.00081789773,0.0008606189,0.00043859,0.00057439297,0.00066314824,0.0013620581,0.00064229296,0.0019423843],"category_scores_gemma":[0.0016619381,0.00037389845,0.0004538197,0.0005560658,0.00062141736,0.0017608275,0.0014938477,0.0007640753,0.0005401938],"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":[0.0006610274,0.00020256932,0.0008230837,0.0008417415,0.00016520082,0.001024034,0.00084080757,0.37058115,0.24119934,0.11402979,0.004612,0.26501936],"study_design_scores_gemma":[0.00006825444,0.0003965585,0.00027836667,0.000035095458,0.000039905095,0.00074101216,0.00005107606,0.9608178,0.021119652,0.013525804,0.0028406119,0.000085926295],"about_ca_topic_score_codex":0.0005029303,"about_ca_topic_score_gemma":0.0006645604,"teacher_disagreement_score":0.0019423843,"about_ca_system_score_codex":0.00045404793,"about_ca_system_score_gemma":0.00061048556,"threshold_uncertainty_score":0.006497979},"labels":[],"label_agreement":null},{"id":"W2090627928","doi":"10.1109/tvt.2013.2283078","title":"Closed-Form Analysis of Relay-Based Cognitive Radio Networks Over Nakagami- $m$ Fading Channels","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":28,"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":"Nakagami distribution; Cognitive radio; Fading; False alarm; Maximal-ratio combining; Probability density function; Algorithm; Closed-form expression; Relay; Computer science; Cumulative distribution function; Topology (electrical circuits); Mathematics; Signal-to-noise ratio (imaging); Statistics; Telecommunications; Power (physics); Wireless; Decoding methods; Physics","score_opus":0.008549854599846926,"score_gpt":0.22467152090906375,"score_spread":0.21612166630921684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090627928","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":[0.025373733,0.000740193,0.9680865,0.0002348882,0.000031495827,0.00003425488,0.00008159391,0.0001837287,0.005233567],"genre_scores_gemma":[0.93591654,0.0020464724,0.057507224,0.00017865111,0.000088615845,0.00019739303,0.00015280535,0.00008947609,0.0038228417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998988,0.0003396748,0.000032626212,0.00015163724,0.00035695976,0.00013119656],"domain_scores_gemma":[0.9947883,0.0035568257,0.0005147211,0.00026129087,0.0008178453,0.00006104271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022558416,0.0010951572,0.0010411786,0.00089170266,0.00034968104,0.0015904156,0.0014586576,0.00095659506,0.0017299306],"category_scores_gemma":[0.010908021,0.00042058807,0.0005758063,0.00079456385,0.0015330227,0.0019468765,0.0010260699,0.0011856885,0.00041176978],"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":[0.000026337386,0.000021606584,0.00048061428,0.00009469869,0.000031197746,0.00018170422,0.000121422294,0.93193126,0.0027332096,0.056466993,0.00048811492,0.007422924],"study_design_scores_gemma":[0.0000026084163,0.000013603927,0.00014154868,0.000011087858,0.000007870225,0.00005379498,0.000015809135,0.9888498,0.0004127337,0.010284283,0.00020029105,0.0000066454636],"about_ca_topic_score_codex":0.0029989176,"about_ca_topic_score_gemma":0.0018916342,"teacher_disagreement_score":0.0029989176,"about_ca_system_score_codex":0.0016060637,"about_ca_system_score_gemma":0.0010596087,"threshold_uncertainty_score":0.011930168},"labels":[],"label_agreement":null},{"id":"W2091382910","doi":"10.1109/tvt.2012.2226483","title":"An Opportunistic Protocol Employing Independent Codebooks for Bidirectional Cooperative Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Outage probability; Computer science; Linear network coding; Relay; Computer network; Protocol (science); Signal-to-noise ratio (imaging); Selection (genetic algorithm); Coding (social sciences); Mutual information; Channel code; Channel (broadcasting); Topology (electrical circuits); Algorithm; Decoding methods; Mathematics; Fading; Telecommunications; Power (physics); Statistics; Network packet","score_opus":0.05015116228709587,"score_gpt":0.3230667444334736,"score_spread":0.27291558214637773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091382910","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03562743,0.00023991818,0.9592067,0.00013504294,0.000036485646,0.0001098128,0.000042057003,0.00015841269,0.0044441223],"genre_scores_gemma":[0.89816916,0.00030835954,0.09869388,0.00009815181,0.000026399799,0.00023304284,0.00007189163,0.000023739445,0.0023753215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922216,0.00022872767,0.00003394585,0.00007644004,0.00034021935,0.000098505036],"domain_scores_gemma":[0.9980514,0.0010232966,0.00022116523,0.0002878723,0.00030545346,0.00011083045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011721116,0.00046458203,0.0004308786,0.0003706782,0.0005496979,0.0006219498,0.0011390852,0.00040228784,0.0008435718],"category_scores_gemma":[0.0035375669,0.00021685688,0.00023887034,0.000516354,0.00079478306,0.00094072154,0.0018095952,0.0005624365,0.00023961307],"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":[0.000426599,0.00028025176,0.0032094624,0.00024138497,0.00008979584,0.00070869253,0.00091558084,0.42930225,0.06415795,0.27146614,0.0036808832,0.22552098],"study_design_scores_gemma":[0.0000510608,0.00016085338,0.00023069656,0.000015239876,0.000025791283,0.0003260658,0.00009419387,0.9626574,0.008701272,0.023090592,0.004605596,0.000041270083],"about_ca_topic_score_codex":0.0016249927,"about_ca_topic_score_gemma":0.0023419019,"teacher_disagreement_score":0.0016249927,"about_ca_system_score_codex":0.00054205966,"about_ca_system_score_gemma":0.0014172771,"threshold_uncertainty_score":0.006198764},"labels":[],"label_agreement":null},{"id":"W2091633261","doi":"10.1109/tvt.2013.2283505","title":"Recursive Waterfilling for Wireless Links With Energy Harvesting Transmitters","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":63,"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":"Recursion (computer science); Mathematical optimization; Transmission (telecommunications); Computation; Fading; Energy (signal processing); Power (physics); Constraint (computer-aided design); Algorithm; Computer science; Channel (broadcasting); Throughput; Wireless; Mathematics; Decoding methods; Telecommunications","score_opus":0.005781512913910586,"score_gpt":0.17625280307354452,"score_spread":0.17047129015963394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091633261","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":[0.011105519,0.0002854047,0.98632973,0.000107955624,0.000020642281,0.000021044874,0.00002318958,0.0001694189,0.0019371453],"genre_scores_gemma":[0.5762041,0.0006618574,0.41780183,0.00018504447,0.000048207505,0.00020184685,0.00018228928,0.000168904,0.004545903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966884,0.0001041691,0.000013966398,0.00005874328,0.00008258108,0.00007172538],"domain_scores_gemma":[0.9994628,0.00038175887,0.00004251651,0.00003901765,0.000055203884,0.000018790774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072558806,0.000554892,0.0007975875,0.0003045767,0.00040663066,0.0009367281,0.00090279366,0.00079474476,0.0019276537],"category_scores_gemma":[0.0022759626,0.000302842,0.0005503865,0.00069380045,0.0010100391,0.00094993954,0.0009554168,0.0010171458,0.00032081202],"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":[0.00006480607,0.000031365944,0.0003431024,0.00009349096,0.000018266042,0.000105336796,0.00014417371,0.8666142,0.0035945599,0.086323395,0.0009843329,0.041682992],"study_design_scores_gemma":[0.0000044892786,0.000009419561,0.000020946956,0.0000035424896,0.000002213998,0.000009867135,0.000006741172,0.9874692,0.00038779638,0.011698415,0.00038454134,0.0000027711872],"about_ca_topic_score_codex":0.0029844616,"about_ca_topic_score_gemma":0.0035737625,"teacher_disagreement_score":0.0029844616,"about_ca_system_score_codex":0.0008047413,"about_ca_system_score_gemma":0.0014451679,"threshold_uncertainty_score":0.0064486265},"labels":[],"label_agreement":null},{"id":"W2094506452","doi":"10.1109/tvt.2014.2325740","title":"A Novel Bidirectional DC/AC Stacked Matrix Converter Design for Electrified Vehicle Applications","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":26,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drivetrain; Converters; Network topology; Electric vehicle; Engineering; Topology (electrical circuits); Electronic engineering; Electrical engineering; Automotive engineering; Computer science; Torque; Voltage; Power (physics)","score_opus":0.014738100741842907,"score_gpt":0.22761335139835026,"score_spread":0.21287525065650736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094506452","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":[0.07646498,0.00051777816,0.8782563,0.00020816742,0.00015304239,0.00021218853,0.0002125825,0.0010020215,0.04297303],"genre_scores_gemma":[0.85014623,0.00050532573,0.13746263,0.00009313159,0.000047354995,0.00012960657,0.00018153615,0.00005212121,0.011382115],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999304,0.000011560094,0.000004497538,0.000014008141,0.000033060598,0.0000064406386],"domain_scores_gemma":[0.9999558,0.000003979838,0.000005278879,0.0000054212433,0.000024981086,0.000004515101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074006195,0.00029975607,0.000195729,0.00022902232,0.0002990593,0.00069809036,0.0005443336,0.00027202567,0.004710583],"category_scores_gemma":[0.00009005563,0.00010234503,0.00019719159,0.0003411786,0.000086389184,0.00045541118,0.00016239878,0.00035334966,0.0011302507],"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":[0.00034122533,0.00026215203,0.00075729826,0.00053392764,0.00010096727,0.00048914924,0.00020435044,0.041063223,0.57680225,0.043845363,0.005787594,0.32981247],"study_design_scores_gemma":[0.00013702191,0.0012464623,0.0022091873,0.00011595266,0.00014557154,0.0031189255,0.00023037332,0.63089174,0.26369768,0.012573709,0.085571155,0.000062170315],"about_ca_topic_score_codex":0.00056988205,"about_ca_topic_score_gemma":0.0012997697,"teacher_disagreement_score":0.004710583,"about_ca_system_score_codex":0.00018847352,"about_ca_system_score_gemma":0.00029863502,"threshold_uncertainty_score":0.015758455},"labels":[],"label_agreement":null},{"id":"W2094596164","doi":"10.1109/tvt.2014.2316644","title":"Rule-Based Control Strategy With Novel Parameters Optimization Using NSGA-II for Power-Split PHEV Operation Cost Minimization","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":75,"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 Windsor","funders":"","keywords":"Powertrain; Automotive engineering; Sorting; Genetic algorithm; Fuel efficiency; Engineering; Schedule; Multi-objective optimization; Minification; Power (physics); Reduction (mathematics); Dynamometer; Mathematical optimization; Computer science; Torque","score_opus":0.012271555972983085,"score_gpt":0.21433866601922888,"score_spread":0.2020671100462458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094596164","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":[0.04351376,0.00041388744,0.94624716,0.0002064536,0.00010526783,0.0002777368,0.000064299544,0.0005962134,0.008575261],"genre_scores_gemma":[0.9024375,0.00019413226,0.093155816,0.00019782718,0.000030219908,0.00066396425,0.00015624127,0.000045757028,0.003118532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944526,0.00013925157,0.00003751774,0.00009751577,0.00019137013,0.00008904453],"domain_scores_gemma":[0.99941134,0.0002443667,0.000085776024,0.000031895946,0.00019252417,0.00003413881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010821584,0.0012931204,0.0011598312,0.0007049839,0.00047361274,0.0012999543,0.0013385759,0.000982225,0.0017027421],"category_scores_gemma":[0.0017522224,0.0004588322,0.00066218886,0.00055961247,0.0006447032,0.0004377951,0.00079523865,0.0011047565,0.00029057666],"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":[0.00003420501,0.000044089393,0.00025882915,0.000037285383,0.000032208012,0.000051919043,0.000049510418,0.9761495,0.0009220911,0.0020449175,0.0004866227,0.019888919],"study_design_scores_gemma":[0.000020428188,0.00004661753,0.000093898445,0.0000070247957,0.000009985305,0.0000098085275,0.000010341106,0.99850935,0.00031676044,0.00062754675,0.0003433076,0.000004820862],"about_ca_topic_score_codex":0.013019939,"about_ca_topic_score_gemma":0.010988689,"teacher_disagreement_score":0.013019939,"about_ca_system_score_codex":0.00091594615,"about_ca_system_score_gemma":0.0015212847,"threshold_uncertainty_score":0.025888324},"labels":[],"label_agreement":null},{"id":"W2095043632","doi":"10.1109/tvt.2014.2313604","title":"Green Cognitive Mobile Networks With Small Cells for Multimedia Communications in the Smart Grid Environment","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":95,"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; Huawei Technologies (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smart grid; Computer science; Stackelberg competition; Cognitive radio; Efficient energy use; Distributed computing; Computer network; Multimedia; Telecommunications; Engineering; Wireless; Electrical engineering","score_opus":0.010113145054258095,"score_gpt":0.19351910347798115,"score_spread":0.18340595842372306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095043632","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":[0.0834715,0.0033766082,0.90110683,0.0009769935,0.00028812652,0.00012129625,0.000060043072,0.00018744638,0.010411146],"genre_scores_gemma":[0.9531922,0.0023736581,0.03937159,0.00033008875,0.000178023,0.00010362048,0.000025325091,0.000014357926,0.004411104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996997,0.00010473454,0.0000059590775,0.00004204124,0.00008271613,0.00006491002],"domain_scores_gemma":[0.9995983,0.00022770489,0.000048871665,0.00002990743,0.00006654328,0.000028790731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047246448,0.0005054797,0.00040926755,0.00034415562,0.00049146294,0.0008651068,0.0007701971,0.0006423618,0.001176813],"category_scores_gemma":[0.0009710042,0.00015309382,0.0004841683,0.000506381,0.0006684503,0.0009680534,0.0005048946,0.0006461663,0.00020234213],"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":[0.00029024514,0.00023882804,0.001397165,0.00023517963,0.000086977554,0.00093978056,0.0003728025,0.66857153,0.02796954,0.18827525,0.0061981142,0.105424546],"study_design_scores_gemma":[0.000011956549,0.000090996335,0.00024041129,0.00001186339,0.00002773927,0.00008250459,0.00007666534,0.97409546,0.0017236852,0.02028493,0.0033379886,0.000015792431],"about_ca_topic_score_codex":0.005074538,"about_ca_topic_score_gemma":0.006839812,"teacher_disagreement_score":0.005074538,"about_ca_system_score_codex":0.0010925865,"about_ca_system_score_gemma":0.0007033739,"threshold_uncertainty_score":0.0100899935},"labels":[],"label_agreement":null},{"id":"W2096042046","doi":"10.1109/tvt.2010.2098427","title":"A Distributed Algorithm for Resource Allocation in OFDM Cognitive Radio Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":43,"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":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Resource allocation; Cognitive radio; Throughput; Resource management (computing); Resource (disambiguation); Max-min fairness; Mathematical optimization; Distributed computing; Computer network; Wireless; Telecommunications; Mathematics; Channel (broadcasting)","score_opus":0.005097825715908914,"score_gpt":0.2107548618315323,"score_spread":0.2056570361156234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096042046","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004121218,0.000114245304,0.99410963,0.00009440023,0.0000310082,0.000030728716,0.000010915776,0.00011672279,0.0013711269],"genre_scores_gemma":[0.51380944,0.00029082946,0.48106566,0.00015889248,0.00007993648,0.00048729256,0.00007701938,0.00007257034,0.003958279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994413,0.00018915409,0.000022598906,0.00010281718,0.00015904843,0.00008498202],"domain_scores_gemma":[0.99919707,0.00052800635,0.000056916884,0.00004142494,0.00013736442,0.000039223596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013508186,0.0007995569,0.0010551146,0.00040074898,0.00064039545,0.0010175601,0.0015276537,0.0011846664,0.0019920233],"category_scores_gemma":[0.0027877064,0.00033750435,0.0003170877,0.0006453364,0.00088461355,0.00087130466,0.0012706902,0.0009321341,0.00035178754],"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":[0.000070674265,0.00005402108,0.00015949461,0.000045527413,0.000021963759,0.00004838868,0.00004919862,0.92906594,0.0008542556,0.017278036,0.0011446655,0.051207885],"study_design_scores_gemma":[0.00002923554,0.000014099186,0.000014306814,0.0000022207473,0.000002473263,0.000008082463,0.000004669984,0.9962126,0.00012312813,0.0032379192,0.0003489477,0.0000022464149],"about_ca_topic_score_codex":0.002998205,"about_ca_topic_score_gemma":0.0025302435,"teacher_disagreement_score":0.002998205,"about_ca_system_score_codex":0.0009761136,"about_ca_system_score_gemma":0.0014385318,"threshold_uncertainty_score":0.0071439147},"labels":[],"label_agreement":null},{"id":"W2096078432","doi":"10.1109/tvt.2009.2038923","title":"Adaptive Admission-Control and Channel-Allocation Policy in Cooperative Ad Hoc Opportunistic Spectrum Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","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 Waterloo","funders":"","keywords":"Computer network; Quality of service; Exploit; Channel (broadcasting); Computer science; Wireless ad hoc network; Admission control; Control channel; Channel allocation schemes; Controller (irrigation); Control (management); Distributed computing; Wireless; Computer security; Telecommunications; Base station; Artificial intelligence","score_opus":0.009911632122993739,"score_gpt":0.23190964402042363,"score_spread":0.2219980118974299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096078432","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":[0.1122618,0.00084572664,0.8817862,0.00056578324,0.00010260679,0.00009613541,0.00003434322,0.00034582074,0.003961572],"genre_scores_gemma":[0.9867389,0.00013023723,0.012199794,0.00004743386,0.00003113507,0.000045818346,0.000010208451,0.000008330496,0.000788128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982242,0.00079132436,0.00006368255,0.00018099858,0.0004608778,0.00027889718],"domain_scores_gemma":[0.9962955,0.00249827,0.00031288102,0.00022879144,0.00045742557,0.00020723963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002452643,0.00049393845,0.00059545843,0.0006496125,0.0007812075,0.00094834605,0.001463282,0.0007437532,0.0005084887],"category_scores_gemma":[0.006804785,0.0002952593,0.00021364664,0.00070313364,0.0015578469,0.0011736221,0.00091748615,0.0007047538,0.00010307166],"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":[0.0002664466,0.00011843674,0.0020793742,0.000061539766,0.00004679734,0.00025394754,0.00044966102,0.8885863,0.0039536017,0.04806079,0.0012998201,0.05482329],"study_design_scores_gemma":[0.000011603081,0.000023483437,0.00014112412,0.0000028221205,0.0000062292124,0.00003208477,0.000030236262,0.99303097,0.00036896605,0.005986113,0.00035816693,0.000008218687],"about_ca_topic_score_codex":0.0073079164,"about_ca_topic_score_gemma":0.0048211804,"teacher_disagreement_score":0.0073079164,"about_ca_system_score_codex":0.0016504949,"about_ca_system_score_gemma":0.0013510468,"threshold_uncertainty_score":0.014530778},"labels":[],"label_agreement":null},{"id":"W2096191759","doi":"10.1109/tvt.2005.844664","title":"Design and VLSI Implementation for a WCDMA Multipath Searcher","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Rake receiver; Multipath propagation; Computer science; Electronic engineering; Interleaving; Fading; Wideband; CMOS; Delay spread; Code division multiple access; Spread spectrum; Channel (broadcasting); Engineering; Telecommunications","score_opus":0.03993766174077171,"score_gpt":0.33321947161759835,"score_spread":0.2932818098768266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096191759","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":[0.105549365,0.0015410136,0.86820483,0.0005872741,0.00028091334,0.00033932299,0.00034151273,0.0049632364,0.01819256],"genre_scores_gemma":[0.5274248,0.00063102716,0.45594603,0.0003494964,0.000083678424,0.00021126021,0.00032800197,0.00008770905,0.01493804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998462,0.000020421994,0.000012058852,0.000033162174,0.0000621795,0.00002593496],"domain_scores_gemma":[0.99980885,0.000039999308,0.000025281148,0.000021809637,0.00009520972,0.00000892248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001462616,0.0002667247,0.00022480401,0.00033980905,0.00022429295,0.00052331935,0.001015166,0.0004938681,0.0039930823],"category_scores_gemma":[0.00044336615,0.00018513622,0.00017770362,0.0003042148,0.00012523716,0.0005372019,0.00019399662,0.00028088983,0.0011319672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037462616,0.0001289364,0.0014764962,0.00053538044,0.00014023732,0.0004212481,0.00021124535,0.025315909,0.58431417,0.020436322,0.008955194,0.35769024],"study_design_scores_gemma":[0.00025903148,0.0024930527,0.0026303516,0.00008002114,0.00022587656,0.0027558762,0.000097165066,0.25135025,0.63239676,0.003556478,0.104078025,0.00007713861],"about_ca_topic_score_codex":0.00084437046,"about_ca_topic_score_gemma":0.0013713575,"teacher_disagreement_score":0.0039930823,"about_ca_system_score_codex":0.0004823437,"about_ca_system_score_gemma":0.00055845815,"threshold_uncertainty_score":0.013358235},"labels":[],"label_agreement":null},{"id":"W2096795905","doi":"10.1109/tvt.2012.2189030","title":"BitQoS-Aware Resource Allocation for Multi-User Mixed-Traffic OFDM Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Quality of service; Scheduling (production processes); Orthogonal frequency-division multiplexing; Multi-user; Network packet; Throughput; Wireless; Real-time computing; Channel (broadcasting); Engineering","score_opus":0.01393710100106224,"score_gpt":0.23226846435283766,"score_spread":0.21833136335177541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096795905","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":[0.06515341,0.0006097979,0.9321007,0.00013700899,0.00003952751,0.000036259997,0.000021079248,0.00016200438,0.001740264],"genre_scores_gemma":[0.9462462,0.00022502047,0.052614354,0.00006168843,0.000026845404,0.000041586827,0.000013806921,0.000015789215,0.00075473764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999666,0.00013808774,0.000011798868,0.000032926204,0.00009173615,0.00005947814],"domain_scores_gemma":[0.99967253,0.00016407912,0.000058670994,0.000027023798,0.000056054774,0.000021731757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006228478,0.00044026133,0.0004296295,0.0002313209,0.00030973696,0.0005934708,0.0007021547,0.0003039974,0.00063512224],"category_scores_gemma":[0.001006448,0.00019328871,0.00016590126,0.00026141852,0.00059344707,0.00061428046,0.00064043055,0.00037504226,0.000120419194],"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":[0.00026285043,0.00011158652,0.0010153167,0.000100181795,0.000042362757,0.00015483361,0.000112880225,0.8842844,0.025742374,0.025555544,0.0008575735,0.06176013],"study_design_scores_gemma":[0.0000048299753,0.000023246092,0.00007200539,0.0000020737025,0.0000026212579,0.00001432642,0.0000055221053,0.9972107,0.0007435647,0.0017439494,0.00017413517,0.0000030793703],"about_ca_topic_score_codex":0.0013737738,"about_ca_topic_score_gemma":0.002009684,"teacher_disagreement_score":0.0013737738,"about_ca_system_score_codex":0.000496691,"about_ca_system_score_gemma":0.00049977936,"threshold_uncertainty_score":0.0036036968},"labels":[],"label_agreement":null},{"id":"W2097364865","doi":"10.1109/tvt.2005.844640","title":"Multiantenna Capacities of Waveguide and Cavity Channels","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":38,"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":"Orthogonality; MIMO; Waveguide; Spatial correlation; Channel capacity; Transmission (telecommunications); Channel (broadcasting); Electronic engineering; Modal; Topology (electrical circuits); Physics; Optics; Mathematics; Computer science; Engineering; Telecommunications; Materials science; Electrical engineering; Geometry","score_opus":0.00734568203236481,"score_gpt":0.19382141979193346,"score_spread":0.18647573775956866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097364865","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":[0.24344279,0.003783136,0.6556996,0.0011512851,0.00021576975,0.00012964143,0.0011667941,0.0003728441,0.09403819],"genre_scores_gemma":[0.96581006,0.0016754578,0.023652395,0.00009413455,0.00014149515,0.00022262648,0.00022418947,0.000057610454,0.008121937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986065,0.00035393488,0.000051214185,0.0001665847,0.0004503001,0.00037143013],"domain_scores_gemma":[0.992007,0.0055945343,0.00059508946,0.0006168981,0.0009910339,0.00019548915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661693,0.00074642757,0.0006702723,0.0016720727,0.00081375736,0.0020906425,0.00089195714,0.00073161005,0.005765965],"category_scores_gemma":[0.006427588,0.0004972633,0.00047114247,0.0013351801,0.0016204295,0.0030035733,0.001591507,0.0009582115,0.0007941982],"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":[0.00012360906,0.000040160845,0.00033844294,0.00017072551,0.000025839368,0.00020362981,0.00013689598,0.25387564,0.008839566,0.7212654,0.0017939523,0.013186129],"study_design_scores_gemma":[0.000009771931,0.00004381351,0.00037678643,0.000055387318,0.000015166662,0.00030244043,0.0000919114,0.8096857,0.0076923533,0.17807156,0.0035986246,0.00005651287],"about_ca_topic_score_codex":0.00091226294,"about_ca_topic_score_gemma":0.0008315254,"teacher_disagreement_score":0.005765965,"about_ca_system_score_codex":0.0016279581,"about_ca_system_score_gemma":0.0008962486,"threshold_uncertainty_score":0.019289136},"labels":[],"label_agreement":null},{"id":"W2097491623","doi":"10.1109/tvt.2007.907023","title":"A New QoS Provisioning Method for Adaptive Multimedia in Wireless Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":38,"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; Carleton University","funders":"","keywords":"Computer science; Quality of service; Wireless network; Provisioning; Bandwidth (computing); Computer network; Bandwidth allocation; Wireless; Call Admission Control; Reinforcement learning; Distributed computing; Multimedia; Artificial intelligence; Telecommunications","score_opus":0.009983919378835825,"score_gpt":0.23395605798274013,"score_spread":0.2239721386039043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097491623","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036428638,0.00022075097,0.99408466,0.0001408825,0.00008941306,0.000041065196,0.000012504473,0.00025858858,0.0015092886],"genre_scores_gemma":[0.33455613,0.00060017407,0.65816647,0.00026123074,0.00025975506,0.00023927342,0.000064717315,0.00008782161,0.005764394],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994875,0.00013413206,0.000027709111,0.00009326256,0.0002208191,0.00003652754],"domain_scores_gemma":[0.9995764,0.00016423303,0.000052460902,0.000046322904,0.00012253162,0.00003817984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007213576,0.0005189023,0.0004959612,0.00047159672,0.00051440956,0.0006285794,0.0011197238,0.0006875611,0.0018306334],"category_scores_gemma":[0.0016902238,0.00020716205,0.0003371348,0.00041814367,0.0005197929,0.001109827,0.0007908488,0.0011055983,0.00036349113],"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":[0.0001545812,0.00022246482,0.0006578137,0.00023533308,0.000055010183,0.00021189524,0.00024165917,0.28466886,0.03750572,0.108836725,0.0069510317,0.56025887],"study_design_scores_gemma":[0.000016958378,0.000040242605,0.000076311204,0.000007882242,0.00000832133,0.000116853225,0.000007647173,0.98793435,0.002218593,0.005354496,0.004205569,0.000012895114],"about_ca_topic_score_codex":0.0011044514,"about_ca_topic_score_gemma":0.0011147376,"teacher_disagreement_score":0.0018306334,"about_ca_system_score_codex":0.00066468545,"about_ca_system_score_gemma":0.00067427533,"threshold_uncertainty_score":0.006124079},"labels":[],"label_agreement":null},{"id":"W2098135353","doi":"10.1109/tvt.2011.2160883","title":"Cross-Layer Throughput Optimization With Power Control in Sensor Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":20,"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 Victoria","funders":"","keywords":"Throughput; Computer science; Topology control; Power control; Wireless sensor network; Network topology; Heuristics; Maximum throughput scheduling; Node (physics); Transmission (telecommunications); Computer network; Wireless network; Distributed computing; Topology (electrical circuits); Wireless; Power (physics); Key distribution in wireless sensor networks; Engineering; Quality of service","score_opus":0.010904810384976255,"score_gpt":0.22259755617077243,"score_spread":0.21169274578579617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098135353","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":[0.026496645,0.0007923699,0.97069687,0.0001254207,0.000045934747,0.000033559914,0.000018421139,0.00037866744,0.0014120988],"genre_scores_gemma":[0.8858209,0.0006776894,0.11176187,0.00010741169,0.000070826674,0.000098324184,0.00004938523,0.00014488297,0.0012686589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982881,0.0007581826,0.00008599888,0.00024342764,0.00040557058,0.00021869129],"domain_scores_gemma":[0.9970421,0.002066389,0.0002995355,0.00020839198,0.00032400948,0.000059513044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037985942,0.0015604501,0.0011393293,0.0009526699,0.0006189936,0.0014412373,0.0012376963,0.00073089334,0.0011813664],"category_scores_gemma":[0.0063101775,0.00064984564,0.0006351522,0.0014421749,0.0012181719,0.0022690843,0.0014989703,0.00092067453,0.00022396298],"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":[0.00006299833,0.000030814674,0.00022034849,0.00004183412,0.000028366345,0.000028721584,0.000038352006,0.97391176,0.0017340456,0.005970243,0.00023808841,0.017694475],"study_design_scores_gemma":[0.000004737588,0.000022436212,0.000037718695,0.0000022944857,0.0000057043253,0.000009149802,0.0000047762665,0.9964631,0.00086676434,0.0024871125,0.00009341319,0.0000028123188],"about_ca_topic_score_codex":0.0015167883,"about_ca_topic_score_gemma":0.0012735284,"teacher_disagreement_score":0.0037985942,"about_ca_system_score_codex":0.0012919478,"about_ca_system_score_gemma":0.0009648734,"threshold_uncertainty_score":0.02008909},"labels":[],"label_agreement":null},{"id":"W2098892192","doi":"10.1109/tvt.2008.2004961","title":"A Multistack Algorithm for Soft MIMO Demodulation","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"McMaster University","funders":"","keywords":"MIMO; Demodulation; Tree (set theory); Stack (abstract data type); Algorithm; Traverse; Computer science; Node (physics); Tree traversal; Protocol stack; Tree structure; Channel (broadcasting); Mathematics; Engineering; Binary tree; Telecommunications","score_opus":0.015009225266226136,"score_gpt":0.24288818558629288,"score_spread":0.22787896032006674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098892192","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045206286,0.00020896367,0.99289423,0.00005491969,0.00004133854,0.00003891393,0.000025331874,0.00061194494,0.0016037523],"genre_scores_gemma":[0.075630635,0.00025975922,0.91978604,0.00014661344,0.000046612033,0.00011647359,0.00013702312,0.00012963306,0.0037471491],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993808,0.00012042261,0.000053175398,0.0000783711,0.00029695,0.00007021804],"domain_scores_gemma":[0.9992588,0.00018840563,0.000071167065,0.00014143667,0.00029959055,0.000040629395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007712829,0.0007514048,0.0007542274,0.0013626958,0.0008391057,0.0015363516,0.0015654125,0.0008502647,0.0045647942],"category_scores_gemma":[0.0018251688,0.00034986195,0.0005045266,0.001067533,0.000538865,0.0020923724,0.001610858,0.0009686037,0.0029523857],"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":[0.00032446568,0.0001055244,0.00068851636,0.00019347883,0.00006320553,0.000099752455,0.00017601872,0.053903237,0.03652712,0.07772002,0.0045226156,0.82567596],"study_design_scores_gemma":[0.0001295516,0.00041663283,0.0003131173,0.00006516394,0.000059342343,0.0004166662,0.0000951641,0.863041,0.06410736,0.039097343,0.03216068,0.000097969714],"about_ca_topic_score_codex":0.00088875456,"about_ca_topic_score_gemma":0.0013351834,"teacher_disagreement_score":0.0045647942,"about_ca_system_score_codex":0.0005101996,"about_ca_system_score_gemma":0.0012907332,"threshold_uncertainty_score":0.01527077},"labels":[],"label_agreement":null},{"id":"W2099311991","doi":"10.1109/tvt.2003.810991","title":"Efficient equalization and symbol detection for 8-PSK EDGE cellular system","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"Council of Scientific and Industrial Research, India; University of Pretoria","keywords":"Phase-shift keying; Euclidean distance; Algorithm; Computer science; Equalization (audio); GSM; Modulation (music); Intersymbol interference; Symbol rate; Keying; Computational complexity theory; Electronic engineering; Bit error rate; Telecommunications; Engineering; Decoding methods; Artificial intelligence","score_opus":0.008191435717308642,"score_gpt":0.21638687779890292,"score_spread":0.20819544208159427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099311991","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":[0.018159313,0.00011750625,0.9800617,0.00006324622,0.00003680043,0.000021467034,0.000019274055,0.00045088332,0.0010697439],"genre_scores_gemma":[0.3090647,0.00015292694,0.6858063,0.00006186797,0.00005325256,0.0000575445,0.0000915605,0.000053717642,0.004658201],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995702,0.000092472095,0.000017930412,0.000046276255,0.0002353637,0.00003786053],"domain_scores_gemma":[0.99962234,0.00017860378,0.00003617758,0.000043747707,0.00010575336,0.000013375318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002989903,0.00045107727,0.0004004446,0.00040715313,0.00031850958,0.00039309167,0.0005357719,0.00041967252,0.0018113572],"category_scores_gemma":[0.00088095164,0.00025199854,0.0002112759,0.00029585048,0.00026151128,0.0006339732,0.00043140058,0.00048550233,0.000623222],"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":[0.0005015497,0.000116907206,0.00097502104,0.00011584398,0.00007399717,0.0001512909,0.00016807094,0.13791414,0.16121733,0.011037399,0.0024318057,0.6852967],"study_design_scores_gemma":[0.000030968633,0.00009747123,0.00052117003,0.000006239476,0.000016356451,0.000189966,0.000016228669,0.9515742,0.043354318,0.0013054044,0.0028676162,0.000020088313],"about_ca_topic_score_codex":0.0012962538,"about_ca_topic_score_gemma":0.0028926781,"teacher_disagreement_score":0.0018113572,"about_ca_system_score_codex":0.0003548414,"about_ca_system_score_gemma":0.00042311003,"threshold_uncertainty_score":0.006059587},"labels":[],"label_agreement":null},{"id":"W2099512510","doi":"10.1109/tvt.2010.2043272","title":"Effect of Turbulence Layer Height and Satellite Altitude on Tropospheric Scintillation on Ka-Band Earth–LEO Satellite Links","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":20,"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":"","keywords":"Scintillation; Medium Earth orbit; Troposphere; Geostationary orbit; Elevation (ballistics); Satellite; Physics; Geology; Remote sensing; Environmental science; Meteorology; Optics; Astronomy","score_opus":0.007010418976286152,"score_gpt":0.21832414848324863,"score_spread":0.21131372950696248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099512510","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":[0.99332917,0.00008020163,0.004822536,0.000050705497,0.000016698667,0.000012260309,0.00007846414,0.00006325453,0.0015467358],"genre_scores_gemma":[0.9995239,0.000036479814,0.00031995983,0.000006702633,0.0000022090526,0.0000015874136,0.000021804399,0.0000036725753,0.00008361422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998024,0.000044093846,0.000011626541,0.000024343573,0.000041656418,0.00007573493],"domain_scores_gemma":[0.9989287,0.0006525683,0.00017685698,0.00004457263,0.00011537821,0.000081838814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000341277,0.0004763626,0.00038798954,0.00043794684,0.00056163396,0.00064501545,0.00042456132,0.0005615898,0.0008435208],"category_scores_gemma":[0.0016359166,0.00021038119,0.00048759862,0.00066671026,0.00052549114,0.0006375797,0.00046236266,0.00045175722,0.00006364825],"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":[0.00006725501,0.000031601518,0.011182759,0.0000106746775,0.000013077391,0.00013699688,0.00001914619,0.9840566,0.0027193455,0.0004712027,0.000056341494,0.001234992],"study_design_scores_gemma":[0.000013850554,0.00007477848,0.0051762206,0.0000035199823,0.000013375089,0.000024178358,0.000028176257,0.99253404,0.0019746516,0.00010878285,0.000039213846,0.000009171041],"about_ca_topic_score_codex":0.023280792,"about_ca_topic_score_gemma":0.0121482285,"teacher_disagreement_score":0.023280792,"about_ca_system_score_codex":0.00080024864,"about_ca_system_score_gemma":0.00054010167,"threshold_uncertainty_score":0.046290576},"labels":[],"label_agreement":null},{"id":"W2099785715","doi":"10.1109/tvt.2007.901855","title":"A Gaussian Symbol-Level Model for CDMA Forward Link Intracell Interference","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","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":"University of Calgary","funders":"","keywords":"Power control; Probability density function; Algorithm; Interference (communication); Gaussian; Code division multiple access; Mathematics; Gaussian process; Computer science; Power (physics); Electronic engineering; Telecommunications; Engineering; Statistics; Physics; Channel (broadcasting)","score_opus":0.04206920190854762,"score_gpt":0.3008606935400519,"score_spread":0.2587914916315043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099785715","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022384537,0.00046415377,0.9688685,0.00033102,0.00008276933,0.000034526136,0.00023359983,0.00044136296,0.007159432],"genre_scores_gemma":[0.9120829,0.0011608222,0.06803579,0.0003509315,0.00015820378,0.00011313056,0.00032067337,0.00013685848,0.017640729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942625,0.00013269052,0.00001690683,0.00008625785,0.00022355179,0.00011445555],"domain_scores_gemma":[0.9990307,0.0004976364,0.000104542254,0.000111081805,0.00022240686,0.00003364541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071129744,0.00066097203,0.0006404494,0.0004567095,0.00046413208,0.0010087553,0.0017100087,0.0014282702,0.0022145733],"category_scores_gemma":[0.002450813,0.0003848255,0.00053861336,0.00095654314,0.00092771143,0.0011238364,0.00057588756,0.0012058676,0.0011802146],"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":[0.00006227502,0.000030751846,0.0006479454,0.00004309166,0.000018531124,0.00019999077,0.000109494904,0.9214508,0.0029194744,0.0632611,0.0014049513,0.009851666],"study_design_scores_gemma":[0.0000029851462,0.000009128982,0.00009595587,0.0000030429435,0.00000458866,0.000034873992,0.000005219959,0.995732,0.00031313227,0.0034706313,0.0003221455,0.000006335721],"about_ca_topic_score_codex":0.011344656,"about_ca_topic_score_gemma":0.0075263963,"teacher_disagreement_score":0.011344656,"about_ca_system_score_codex":0.0014110933,"about_ca_system_score_gemma":0.0008039729,"threshold_uncertainty_score":0.022557259},"labels":[],"label_agreement":null},{"id":"W2100359074","doi":"10.1109/25.832966","title":"Strategies to maximize carried traffic in dual-mode cellular systems","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Exploit; Dual (grammatical number); Computer science; Bandwidth (computing); Linear programming; Control (management); Mode (computer interface); Dual mode; Computer network; Engineering; Electronic engineering; Computer security; Artificial intelligence; Algorithm","score_opus":0.014565450977462589,"score_gpt":0.2651109469548166,"score_spread":0.250545495977354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100359074","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":[0.2314968,0.00036891995,0.7502867,0.00047711015,0.0000520482,0.00019067044,0.00007756728,0.00026139544,0.016788838],"genre_scores_gemma":[0.97290593,0.0001374061,0.024887795,0.00006879113,0.000017702288,0.00008556779,0.000020095224,0.00001998106,0.0018567028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891603,0.00036659485,0.000045299363,0.00013876642,0.0002766607,0.00025676272],"domain_scores_gemma":[0.9979728,0.0010782937,0.00029384988,0.00011884006,0.00037398373,0.00016213841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001559342,0.0012405011,0.0006436746,0.0008997288,0.00036453916,0.0015906101,0.0013107887,0.0010531594,0.0015822538],"category_scores_gemma":[0.005385132,0.00046628172,0.00036012675,0.0005954056,0.001020497,0.0015783003,0.0011246327,0.0006761405,0.00024965918],"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":[0.00028994383,0.00021190057,0.0011033678,0.00014718925,0.00007021239,0.00018259116,0.00019914401,0.867517,0.022285797,0.07159196,0.0010436529,0.035357255],"study_design_scores_gemma":[0.000049849692,0.00020935989,0.00038332108,0.000020610727,0.000027039787,0.00007942601,0.00009131369,0.9680903,0.0036589212,0.026547244,0.00081406493,0.000028517848],"about_ca_topic_score_codex":0.002602274,"about_ca_topic_score_gemma":0.0017986945,"teacher_disagreement_score":0.002602274,"about_ca_system_score_codex":0.0014641742,"about_ca_system_score_gemma":0.001201893,"threshold_uncertainty_score":0.010623395},"labels":[],"label_agreement":null},{"id":"W2100667358","doi":"10.1109/tvt.2010.2041941","title":"Optimal Cooperative Internetwork Spectrum Sharing for Cognitive Radio Systems With Spectrum Pooling","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":71,"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; Carleton University","funders":"","keywords":"Cognitive radio; Pooling; Computer science; Scheme (mathematics); Spectrum (functional analysis); Computer network; Frequency allocation; Distributed computing; Mathematical optimization; Telecommunications; Wireless; Mathematics; Artificial intelligence","score_opus":0.009009960190646912,"score_gpt":0.2275310077038379,"score_spread":0.218521047513191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100667358","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":[0.14729653,0.00029459817,0.84804004,0.00018967215,0.00002575619,0.00004617291,0.000015508156,0.00011787934,0.0039738626],"genre_scores_gemma":[0.9858935,0.00005109243,0.013497603,0.000030385105,0.000012245588,0.000029680497,0.0000057732404,0.0000076117076,0.00047210164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902654,0.00032257487,0.0000431161,0.00017141087,0.00021586235,0.00022041626],"domain_scores_gemma":[0.99888045,0.0005896211,0.00019068153,0.00012192195,0.000121640885,0.00009562374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018335414,0.00059486734,0.0008306266,0.00042928662,0.00063668954,0.0010790721,0.0011535354,0.0006842568,0.0009099815],"category_scores_gemma":[0.0025616896,0.0003487487,0.00057443156,0.0005650422,0.0013721185,0.0013561836,0.0016983924,0.00048110873,0.00012586113],"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":[0.00030116944,0.0002204384,0.0006825839,0.000080653204,0.00009871589,0.0002590211,0.00033661188,0.8852408,0.009505292,0.0525047,0.0007889913,0.049981028],"study_design_scores_gemma":[0.000021103991,0.000057799876,0.00012054803,0.0000037032175,0.000014437642,0.00003980594,0.000031777672,0.9839484,0.0009422371,0.014551774,0.00025742652,0.000010986638],"about_ca_topic_score_codex":0.0020225046,"about_ca_topic_score_gemma":0.0015078966,"teacher_disagreement_score":0.0020225046,"about_ca_system_score_codex":0.0010153275,"about_ca_system_score_gemma":0.0009404522,"threshold_uncertainty_score":0.009696841},"labels":[],"label_agreement":null},{"id":"W2100686625","doi":"10.1109/25.901906","title":"Effective multi-path vector channel simulator for antenna array systems","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Emulation; Electronic engineering; Fading; Channel (broadcasting); Computer science; Impulse (physics); Base station; Simulation; Impulse response; Topology (electrical circuits); Engineering; Electrical engineering; Telecommunications; Mathematics; Physics","score_opus":0.009387767896484515,"score_gpt":0.24027673447649983,"score_spread":0.23088896658001531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100686625","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":[0.014233637,0.00010891951,0.9807709,0.000076559714,0.000036855654,0.00005631018,0.00029311472,0.0005599153,0.0038637675],"genre_scores_gemma":[0.7165117,0.0004656764,0.27274173,0.00016383198,0.00006294608,0.00054913666,0.0008852991,0.00028690763,0.008332713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996928,0.00009854043,0.000013912029,0.000018135019,0.00014527654,0.000031290547],"domain_scores_gemma":[0.9992793,0.000403166,0.000049754333,0.000097862234,0.00014044908,0.000029471694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005164436,0.00044254653,0.00055084546,0.00033289738,0.00021585904,0.0005314762,0.0009260869,0.0008974552,0.0027826314],"category_scores_gemma":[0.001590221,0.00025042874,0.00035342446,0.00043064865,0.00033888413,0.0010181624,0.00044157525,0.0007989796,0.00060661347],"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":[0.000020473277,0.0000112361495,0.00015059345,0.000017796467,0.000010293903,0.00003063649,0.000016451524,0.9823867,0.001488737,0.012329581,0.00036372646,0.003173833],"study_design_scores_gemma":[0.0000036304475,0.0000062200124,0.000013978807,8.964863e-7,0.0000012435328,0.000005007171,0.0000014755435,0.99811256,0.00041024122,0.0010260328,0.0004168031,0.0000018768029],"about_ca_topic_score_codex":0.0015877797,"about_ca_topic_score_gemma":0.0016341778,"teacher_disagreement_score":0.0027826314,"about_ca_system_score_codex":0.0004986794,"about_ca_system_score_gemma":0.0007350999,"threshold_uncertainty_score":0.009308875},"labels":[],"label_agreement":null},{"id":"W2100846885","doi":"10.1109/tvt.2004.836933","title":"Error Performance of Orthogonal Signaling Family in Ricean-Fading Channels With Maximal Ratio Combining","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Biorthogonal system; Bit error rate; Fading distribution; Nakagami distribution; Mathematics; Maximal-ratio combining; Algorithm; Computer science; Topology (electrical circuits); Electronic engineering; Channel (broadcasting); Telecommunications; Rayleigh fading; Engineering; Combinatorics","score_opus":0.012621499876327252,"score_gpt":0.22553901197366424,"score_spread":0.212917512097337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100846885","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":[0.55753016,0.0022210306,0.4123542,0.0005243935,0.00006736181,0.000052112086,0.00034788583,0.00082344544,0.026079375],"genre_scores_gemma":[0.98221546,0.000540407,0.015519377,0.000073865056,0.000029201174,0.000028906861,0.00011037204,0.00002888443,0.0014535547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968555,0.0013941199,0.00010804922,0.00025037286,0.0009719971,0.00042001248],"domain_scores_gemma":[0.9922361,0.0048348727,0.0009550784,0.00066949776,0.001143343,0.00016123128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004288941,0.0013595523,0.000868628,0.0008551723,0.00070821954,0.0011681624,0.00085416203,0.0009500504,0.0010741353],"category_scores_gemma":[0.009590156,0.0003093262,0.0004204762,0.0011275859,0.0014634382,0.0013685843,0.0014073753,0.00057323073,0.00045003943],"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":[0.0014202674,0.00006645024,0.004483665,0.00018506023,0.00015681372,0.0004878611,0.00038080526,0.8352496,0.028458647,0.081553616,0.0010273077,0.04652993],"study_design_scores_gemma":[0.000025108337,0.00023138794,0.0010936363,0.00003429403,0.000055155826,0.0004251105,0.00008865316,0.9612627,0.016890056,0.019197484,0.00063310115,0.00006333847],"about_ca_topic_score_codex":0.0016320258,"about_ca_topic_score_gemma":0.0008407428,"teacher_disagreement_score":0.004288941,"about_ca_system_score_codex":0.0009485915,"about_ca_system_score_gemma":0.0011078253,"threshold_uncertainty_score":0.022682369},"labels":[],"label_agreement":null},{"id":"W2101250033","doi":"10.1109/tvt.2011.2166569","title":"Design and Analysis of Backoff Algorithms for Random Access Channels in UMTS-LTE and IEEE 802.16 Systems","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":75,"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":"","keywords":"Exponential backoff; Computer science; UMTS frequency bands; Algorithm; Hybrid automatic repeat request; Random access; Network packet; Computer network; Retransmission; Throughput; Telecommunications link; Real-time computing; Wireless; Telecommunications","score_opus":0.052571828761750664,"score_gpt":0.28596368557382945,"score_spread":0.2333918568120788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101250033","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":[0.049275335,0.00084855757,0.9471294,0.0001214615,0.00004032011,0.00012377965,0.000021454403,0.00019130419,0.002248385],"genre_scores_gemma":[0.8600586,0.00075283775,0.13733627,0.00006708536,0.000058540307,0.00021783137,0.00004094796,0.000055848195,0.0014121262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729556,0.0010412681,0.00012746263,0.00025381483,0.00091436313,0.00036750973],"domain_scores_gemma":[0.9925108,0.0053026844,0.0007628179,0.00028877688,0.0009903534,0.00014468514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045637605,0.0008927721,0.00088355294,0.00080057286,0.00060658366,0.0015498948,0.0010926812,0.0007543561,0.0013221141],"category_scores_gemma":[0.015875982,0.00046297017,0.00040681267,0.0005789638,0.0007946032,0.0013864263,0.00075272634,0.0007585338,0.00021873202],"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":[0.0003109265,0.00008686313,0.0013914254,0.000118267875,0.00005772823,0.00006740109,0.00012196312,0.89271516,0.0043085795,0.03928047,0.00038625448,0.06115493],"study_design_scores_gemma":[0.00001439051,0.00006225614,0.0001349629,0.000007609556,0.00001204121,0.000023948585,0.000010582328,0.9966473,0.00074473914,0.0021141649,0.00022252617,0.000005411072],"about_ca_topic_score_codex":0.0022804847,"about_ca_topic_score_gemma":0.0016477306,"teacher_disagreement_score":0.0045637605,"about_ca_system_score_codex":0.0016536289,"about_ca_system_score_gemma":0.0019428883,"threshold_uncertainty_score":0.024135768},"labels":[],"label_agreement":null},{"id":"W2101897080","doi":"10.1109/tvt.2007.891416","title":"Minimum BER Transmit Power Allocation and Beamforming for Two-Input–Multiple-Output Spatial Multiplexing Systems","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Queen's University","funders":"","keywords":"Beamforming; Spatial multiplexing; MIMO; Multiplexing; Bit error rate; Electronic engineering; Computer science; Transmitter power output; Phase-shift keying; Interference (communication); Precoding; Control theory (sociology); Transmitter; Engineering; Algorithm; Telecommunications; Decoding methods; Channel (broadcasting)","score_opus":0.02090753524169106,"score_gpt":0.2650266180633008,"score_spread":0.24411908282160974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101897080","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":[0.030728586,0.0005923413,0.9644207,0.00021362411,0.000020534246,0.000022249274,0.000029449484,0.00008122714,0.0038913828],"genre_scores_gemma":[0.8571229,0.00069795817,0.13907956,0.00008768465,0.0000492655,0.00010056796,0.00004144328,0.000027101,0.0027935065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946254,0.00025724006,0.000019861041,0.000040333583,0.00017804484,0.000042004016],"domain_scores_gemma":[0.99940515,0.00037330278,0.00008965728,0.000041114105,0.0000759707,0.000014730346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072090945,0.00059716805,0.000508127,0.00024311947,0.00026384662,0.0006310167,0.0003246543,0.0006595442,0.0011492026],"category_scores_gemma":[0.00207994,0.00030219654,0.00015683932,0.00054803665,0.0005586604,0.0006943167,0.00054081925,0.0003705634,0.00027791012],"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":[0.00014190917,0.00003632294,0.0005324495,0.00014292971,0.000022114376,0.00010588251,0.00009223327,0.8645416,0.016902305,0.060398668,0.0007303148,0.056353413],"study_design_scores_gemma":[0.000009860083,0.000034643013,0.00016327854,0.000006297227,0.0000034087625,0.000034227196,0.0000132984305,0.9869423,0.0026929043,0.009717846,0.00037296818,0.000009052384],"about_ca_topic_score_codex":0.00057650876,"about_ca_topic_score_gemma":0.00070808793,"teacher_disagreement_score":0.0011492026,"about_ca_system_score_codex":0.0005397854,"about_ca_system_score_gemma":0.0004940689,"threshold_uncertainty_score":0.003916383},"labels":[],"label_agreement":null},{"id":"W2102291279","doi":"10.1109/tvt.2009.2020802","title":"In-Network Data Reduction and Coverage-Based Mechanisms for Generating Association Rules in Wireless Sensor Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wireless sensor network; Key distribution in wireless sensor networks; Computer science; Computer network; Sensor node; Process (computing); Association rule learning; Reduction (mathematics); Visual sensor network; Quality of service; Mobile wireless sensor network; Data mining; Real-time computing; Wireless; Distributed computing; Wireless network; Telecommunications","score_opus":0.0115567630264644,"score_gpt":0.23326288166645703,"score_spread":0.22170611863999262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102291279","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":[0.013756508,0.00016778814,0.9846793,0.00014266786,0.000035436075,0.0001169429,0.000120832156,0.0005349636,0.00044571102],"genre_scores_gemma":[0.29546794,0.00043597142,0.7002889,0.00025441183,0.0001461979,0.00061851717,0.0012215624,0.00018042135,0.0013860794],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9922782,0.0021264295,0.0010507902,0.0009742598,0.003266469,0.00030385112],"domain_scores_gemma":[0.9780889,0.01024567,0.002056838,0.006697158,0.002625634,0.0002856616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00444967,0.00094525964,0.0016753728,0.002481632,0.000877965,0.0015834686,0.0038841313,0.00095984247,0.001108037],"category_scores_gemma":[0.02324553,0.00072707736,0.001630343,0.002756901,0.0012093552,0.0032025718,0.0026682776,0.0015730275,0.00040090465],"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":[0.0007973384,0.0007292949,0.007262327,0.00076753466,0.0005892934,0.0008896118,0.0011384132,0.3380661,0.0264256,0.060839158,0.005379845,0.5571155],"study_design_scores_gemma":[0.000076987206,0.00020090601,0.0013516842,0.000044063636,0.00021490542,0.00068732037,0.00011406881,0.92841905,0.025588248,0.035695955,0.0075552627,0.000051433282],"about_ca_topic_score_codex":0.0015369181,"about_ca_topic_score_gemma":0.0016326141,"teacher_disagreement_score":0.00444967,"about_ca_system_score_codex":0.00058675307,"about_ca_system_score_gemma":0.000932099,"threshold_uncertainty_score":0.02353239},"labels":[],"label_agreement":null},{"id":"W2102316574","doi":"10.1109/25.832990","title":"Performance and stability analysis of buffered slotted ALOHA protocols using tagged user approach","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":69,"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":"Aloha; Computer science; Queueing theory; Queue; Stability (learning theory); Multi-user; Channel (broadcasting); Transmission (telecommunications); Buffer (optical fiber); Population; Mathematical optimization; Computer network; Real-time computing; Throughput; Mathematics; Wireless; Telecommunications","score_opus":0.024094392492120566,"score_gpt":0.2597072218619207,"score_spread":0.23561282936980013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102316574","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":[0.20364547,0.0009861893,0.7907486,0.00017838119,0.000054973025,0.000060106966,0.0000690886,0.00030431242,0.003952911],"genre_scores_gemma":[0.98477525,0.0002959058,0.014240173,0.000024277431,0.000017899894,0.000035717996,0.000024153165,0.000016896365,0.000569721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907887,0.00034660604,0.00003493983,0.00010274951,0.00031764526,0.00011921675],"domain_scores_gemma":[0.99591357,0.0027870787,0.0003021075,0.00022039891,0.0006940608,0.00008268562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019319427,0.0005212106,0.00048481164,0.00075091806,0.00050594466,0.0009592807,0.00093499554,0.00055354077,0.0008547686],"category_scores_gemma":[0.0063029337,0.00024279377,0.00038948763,0.00053655606,0.001020564,0.0011808234,0.00079717,0.00053680694,0.00017292191],"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":[0.00040933525,0.000048793107,0.0015695025,0.00009537133,0.00007277394,0.00019220979,0.00026112498,0.92064583,0.017913105,0.041466147,0.00048222355,0.016843587],"study_design_scores_gemma":[0.000003187687,0.000038488946,0.00007426605,0.000003676259,0.000006869367,0.00002171871,0.00001567675,0.99702495,0.00093287096,0.0017984953,0.00007504558,0.000004712538],"about_ca_topic_score_codex":0.0026447729,"about_ca_topic_score_gemma":0.0011300322,"teacher_disagreement_score":0.0026447729,"about_ca_system_score_codex":0.0012884124,"about_ca_system_score_gemma":0.0008285054,"threshold_uncertainty_score":0.01021719},"labels":[],"label_agreement":null},{"id":"W2102369107","doi":"10.1109/tvt.2009.2031456","title":"Observation-Based Time-Varying MIMO Channel Model","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems 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":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Narrowband; Transmitter; Rayleigh fading; Fading; Autocorrelation; Channel (broadcasting); Computer science; Probability density function; Coupling (piping); Electronic engineering; Algorithm; Mathematics; Engineering; Telecommunications; Statistics","score_opus":0.011768052476032723,"score_gpt":0.21329087370140454,"score_spread":0.20152282122537182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102369107","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":[0.06891831,0.00013964115,0.9261055,0.00014757557,0.00006346148,0.00006212171,0.0006546207,0.00053195574,0.003376707],"genre_scores_gemma":[0.95134,0.00033979784,0.041965805,0.000061080806,0.000052755073,0.000212037,0.0006394048,0.00005557494,0.0053334907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953043,0.00011990955,0.000020594432,0.00012680139,0.00013739898,0.00006488133],"domain_scores_gemma":[0.99943763,0.0002634923,0.00010407025,0.00006914758,0.00010749971,0.000018275812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047638305,0.0007041835,0.0007335201,0.0003570256,0.00032009435,0.00079484173,0.0014846163,0.000983977,0.0015375166],"category_scores_gemma":[0.0014159881,0.00042162696,0.0007108729,0.0006677073,0.00064159307,0.0010647557,0.00047691574,0.0013546499,0.00044620308],"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":[0.000016110365,0.000008199714,0.00027175562,0.000009878139,0.000009850689,0.000028647395,0.000015543535,0.9939931,0.0009139115,0.0032587405,0.00007103266,0.0014032507],"study_design_scores_gemma":[0.000004182984,0.000009426096,0.00013534044,9.641557e-7,0.000004758911,0.000010261921,0.0000030323622,0.9987073,0.00031715457,0.0006795283,0.0001226097,0.000005462095],"about_ca_topic_score_codex":0.010511465,"about_ca_topic_score_gemma":0.0058615915,"teacher_disagreement_score":0.010511465,"about_ca_system_score_codex":0.0006731597,"about_ca_system_score_gemma":0.00087312184,"threshold_uncertainty_score":0.020900548},"labels":[],"label_agreement":null},{"id":"W2102730334","doi":"10.1109/tvt.2010.2070850","title":"Two-Filter Smoothing for Accurate INS/GPS Land-Vehicle Navigation in Urban Centers","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Global Positioning System; Inertial navigation system; Kalman filter; GPS/INS; Smoothing; Computer science; Navigation system; Inertial measurement unit; Engineering; Real-time computing; Assisted GPS; Simulation; Inertial frame of reference; Artificial intelligence; Computer vision; Telecommunications","score_opus":0.007816912772195464,"score_gpt":0.2309587314006513,"score_spread":0.22314181862845583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102730334","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":[0.09232934,0.000121614175,0.90529895,0.00007766386,0.000033341832,0.000023615408,0.000087814544,0.0010483133,0.0009792577],"genre_scores_gemma":[0.60694414,0.00011408301,0.39051384,0.000028242132,0.000019278186,0.000042883985,0.00041413735,0.00012538127,0.0017980834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980885,0.000046653633,0.0000103676075,0.000039258357,0.000074706375,0.00002013656],"domain_scores_gemma":[0.9996966,0.00013285,0.00002706582,0.000040459083,0.000090219146,0.00001289158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005957996,0.0003391079,0.00032335447,0.0004328982,0.00033644304,0.00031506602,0.00040196106,0.0003625161,0.001222823],"category_scores_gemma":[0.0015980698,0.00018613807,0.00030634674,0.00072317675,0.00019160002,0.00032236517,0.00037638392,0.00043476355,0.0005205334],"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":[0.00066540507,0.00013135972,0.012712265,0.00016893403,0.000080275146,0.00022270164,0.00033627666,0.47032914,0.043372203,0.0073068254,0.0034066853,0.46126786],"study_design_scores_gemma":[0.000022967557,0.00004485128,0.004677093,0.000005402675,0.0000101225905,0.000034473484,0.000042312542,0.984091,0.007988323,0.001205363,0.001864788,0.000013386473],"about_ca_topic_score_codex":0.013156191,"about_ca_topic_score_gemma":0.019556332,"teacher_disagreement_score":0.013156191,"about_ca_system_score_codex":0.0003205066,"about_ca_system_score_gemma":0.00078516593,"threshold_uncertainty_score":0.026159227},"labels":[],"label_agreement":null},{"id":"W2103056119","doi":"10.1109/tvt.2007.906878","title":"GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":916,"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 Waterloo","funders":"","keywords":"Communication source; Computer science; Traceability; Computer security; Protocol (science); Computer network; Wireless ad hoc network; Signature (topology); Information privacy; Group signature; Vehicular ad hoc network; Event (particle physics); Encryption; Public-key cryptography; Wireless; Telecommunications","score_opus":0.017330522541756106,"score_gpt":0.27682416262379017,"score_spread":0.25949364008203407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103056119","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0141399745,0.0011133146,0.96794343,0.0008558627,0.000513437,0.00059277855,0.00032727973,0.0036674992,0.010846531],"genre_scores_gemma":[0.64444894,0.00296602,0.32758096,0.00061923894,0.00040108283,0.0011105865,0.0014627202,0.00029037017,0.021120071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986523,0.00034281213,0.000117160256,0.00014194439,0.0006193192,0.00012653881],"domain_scores_gemma":[0.9993519,0.00012415067,0.000121482626,0.00020308261,0.00013393427,0.000065455264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070178,0.00073932664,0.0008216775,0.000998236,0.0009926618,0.0014019028,0.0017497104,0.0008212274,0.0019550575],"category_scores_gemma":[0.0014873063,0.00022566774,0.0005436427,0.0013264524,0.0015732687,0.0022493245,0.00241454,0.0014144597,0.0010488894],"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":[0.0008438868,0.00017325961,0.0012525913,0.001480727,0.00016767487,0.0014516801,0.001434721,0.05711068,0.05502769,0.54585475,0.022830589,0.31237182],"study_design_scores_gemma":[0.0002912835,0.0013144535,0.0008660997,0.00022950333,0.00028456535,0.0030680788,0.0012643966,0.3379366,0.104196824,0.18250296,0.3678305,0.00021477418],"about_ca_topic_score_codex":0.00072122354,"about_ca_topic_score_gemma":0.00066685036,"teacher_disagreement_score":0.0019550575,"about_ca_system_score_codex":0.00064282364,"about_ca_system_score_gemma":0.001564187,"threshold_uncertainty_score":0.006540358},"labels":[],"label_agreement":null},{"id":"W2104417553","doi":"10.1109/tvt.2007.899962","title":"Concentric Anchor Beacon Localization Algorithm for Wireless Sensor Networks","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":115,"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; Kinexus Bioinformatics Corporation (Canada)","funders":"","keywords":"Beacon; Electric beacon; Wireless sensor network; Algorithm; Triangulation; Node (physics); Computer science; Intersection (aeronautics); Trilateration; Heuristics; Wireless; Range (aeronautics); Key distribution in wireless sensor networks; Position (finance); Wireless network; Real-time computing; Engineering; Computer network; Mathematics; Telecommunications; Geometry","score_opus":0.006334927702289101,"score_gpt":0.21646249736799664,"score_spread":0.21012756966570753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104417553","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":[0.00188455,0.00053843623,0.99616015,0.00007121896,0.000062828105,0.000025645451,0.000017107684,0.0005018649,0.000738132],"genre_scores_gemma":[0.16488032,0.0019531387,0.82811487,0.0001240879,0.00012949292,0.00029526465,0.00031091447,0.00013278973,0.0040592486],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918383,0.0002682572,0.00004498565,0.00013777916,0.0003160658,0.000048997346],"domain_scores_gemma":[0.99924505,0.00021385538,0.00011974471,0.00010667535,0.00028362783,0.00003109081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095748325,0.0006393577,0.00067461026,0.0010752267,0.0005309742,0.00048336436,0.0013336418,0.0006981449,0.001529811],"category_scores_gemma":[0.0030402478,0.00027497194,0.00039491753,0.0014875308,0.0005705995,0.0012940925,0.0009446416,0.0006884883,0.0010122914],"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":[0.0003269937,0.00004699842,0.0010273806,0.00038857947,0.00008299136,0.00020261797,0.00042134034,0.20356746,0.01934613,0.06676386,0.012287375,0.6955383],"study_design_scores_gemma":[0.00007857884,0.00014869426,0.00041545858,0.00004546819,0.000040751085,0.0004234136,0.00008813969,0.9169976,0.010661497,0.02705962,0.043994844,0.000045939134],"about_ca_topic_score_codex":0.001947627,"about_ca_topic_score_gemma":0.0012218422,"teacher_disagreement_score":0.001947627,"about_ca_system_score_codex":0.00058221264,"about_ca_system_score_gemma":0.0007590587,"threshold_uncertainty_score":0.0051177144},"labels":[],"label_agreement":null},{"id":"W2104449353","doi":"10.1109/tvt.2010.2061243","title":"Statistical Development of a Duty Cycle for Plug-in Vehicles in a North American Urban Setting Using Fleet Information","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Manitoba Hydro","keywords":"Driving cycle; Duty cycle; Plug-in; Transport engineering; Automotive engineering; Statistical analysis; Engineering; Operations research; Simulation; Power (physics); Computer science; Electric vehicle; Electrical engineering; Voltage; Statistics","score_opus":0.006106146595711878,"score_gpt":0.22684785636855911,"score_spread":0.22074170977284724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104449353","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":[0.96218216,0.000052812997,0.034857552,0.000040534007,0.0000073850233,0.000114916635,0.0016719786,0.00011016762,0.0009625372],"genre_scores_gemma":[0.97528183,0.00004838402,0.020385617,0.000008812477,0.0000059688678,0.00009609619,0.0037935826,0.000021462867,0.00035828122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870527,0.00045596744,0.00012377027,0.0002960183,0.00034675654,0.000072076036],"domain_scores_gemma":[0.9941373,0.0029357842,0.0010348561,0.0006483753,0.0011112501,0.00013238833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033757284,0.00021664587,0.00027915157,0.0023134947,0.00026065396,0.0005638255,0.0005034493,0.00025450267,0.00050372025],"category_scores_gemma":[0.012564108,0.00018990363,0.00035550233,0.001996362,0.00020614022,0.00048099042,0.00042889436,0.0002897774,0.0001502367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025833357,0.00022660346,0.8043838,0.00007499897,0.00016837828,0.0001681169,0.00037793722,0.08749616,0.0025301487,0.0016705003,0.0017092591,0.10093582],"study_design_scores_gemma":[0.000016461214,0.0002444875,0.5844786,0.00001563423,0.0000367718,0.0001717791,0.00046030397,0.4082095,0.0023652096,0.00073428947,0.0032274046,0.00003952215],"about_ca_topic_score_codex":0.024540404,"about_ca_topic_score_gemma":0.03279691,"teacher_disagreement_score":0.9754596,"about_ca_system_score_codex":0.00077790656,"about_ca_system_score_gemma":0.0008245285,"threshold_uncertainty_score":0.048795104},"labels":[],"label_agreement":null},{"id":"W2104580443","doi":"10.1109/tvt.2009.2025703","title":"A Simple and Efficient User-Scheduling Strategy for RUB-Based Multiuser MIMO Systems and Its Sum-Rate Analysis","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"University of Victoria","funders":"","keywords":"MIMO; Beamforming; Scheduling (production processes); Maximization; Control theory (sociology); Computer science; Signal-to-interference-plus-noise ratio; Signal-to-noise ratio (imaging); Interference (communication); Mathematical optimization; Algorithm; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.011222043864531041,"score_gpt":0.2408058739700404,"score_spread":0.22958383010550937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104580443","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":[0.017235374,0.00062198896,0.97839135,0.00009777065,0.000040980864,0.00006617153,0.000033533684,0.00018779494,0.0033248947],"genre_scores_gemma":[0.825121,0.00075516687,0.17184475,0.00011964929,0.00005058092,0.00013046426,0.000048966205,0.000049237802,0.0018801544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991737,0.00028338455,0.000026300311,0.00006790515,0.00034285866,0.00010582461],"domain_scores_gemma":[0.9991918,0.00031379925,0.00013332473,0.00011644294,0.00019044417,0.000054197808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013118277,0.001072578,0.00087449304,0.00039856645,0.00037507404,0.00058684143,0.0009897014,0.0005104104,0.0017233824],"category_scores_gemma":[0.002155735,0.00030448264,0.0004105539,0.0008024207,0.00080938253,0.00060074363,0.0007134247,0.0006923332,0.00051021465],"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":[0.0001833719,0.00012660936,0.000686643,0.00029982982,0.00007842259,0.00025332873,0.00019003995,0.7767871,0.051646776,0.09269361,0.0018130377,0.07524121],"study_design_scores_gemma":[0.0000107257865,0.000070434835,0.00013377596,0.0000078128405,0.000009470972,0.00008317443,0.000015673446,0.99102914,0.0039701164,0.0040102103,0.00064282736,0.000016685379],"about_ca_topic_score_codex":0.001461494,"about_ca_topic_score_gemma":0.0017624779,"teacher_disagreement_score":0.0017233824,"about_ca_system_score_codex":0.00074718473,"about_ca_system_score_gemma":0.0010665897,"threshold_uncertainty_score":0.0069376826},"labels":[],"label_agreement":null},{"id":"W2104637370","doi":"10.1109/tvt.2008.919609","title":"MIMO Precoder Designs for Frequency-Selective Fading Channels Using Spatial and Path Correlation","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems 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":"McGill University","funders":"","keywords":"Precoding; Fading; MIMO; Spatial correlation; Multipath propagation; Channel state information; Mathematics; Algorithm; Channel (broadcasting); Topology (electrical circuits); Channel capacity; Covariance matrix; Control theory (sociology); Computer science; Electronic engineering; Telecommunications; Wireless; Statistics; Engineering; Decoding methods","score_opus":0.021273820526587613,"score_gpt":0.23004354659967452,"score_spread":0.20876972607308691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104637370","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":[0.006946731,0.0002165332,0.99139637,0.00006135306,0.0000335798,0.000026378008,0.000039626335,0.00010853357,0.0011709922],"genre_scores_gemma":[0.45697728,0.0015000366,0.5350564,0.00021237714,0.00021849989,0.00030671534,0.00036174865,0.00005760261,0.005309358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993892,0.000188978,0.000030195471,0.00010527944,0.00020340341,0.00008301202],"domain_scores_gemma":[0.9991584,0.00035631232,0.000113362716,0.00008592926,0.00026157222,0.00002439136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059225876,0.0012603357,0.0007885213,0.0003583941,0.00035336462,0.0006963335,0.0005760135,0.00071996584,0.0013265111],"category_scores_gemma":[0.0017721216,0.00049765874,0.0005552674,0.00074154965,0.0005574886,0.00073315075,0.00051710906,0.0007557297,0.00054164417],"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":[0.00012484056,0.00006017972,0.0004900186,0.0001712052,0.00012181344,0.0001406442,0.00015381858,0.7883169,0.0373675,0.026873322,0.0019210157,0.14425875],"study_design_scores_gemma":[0.00002815857,0.00020045559,0.0002834257,0.000023670864,0.00004280153,0.00013908252,0.000029820107,0.98006976,0.009399479,0.0075859865,0.0021665832,0.000030767373],"about_ca_topic_score_codex":0.0019259087,"about_ca_topic_score_gemma":0.0044815782,"teacher_disagreement_score":0.0019259087,"about_ca_system_score_codex":0.00050552905,"about_ca_system_score_gemma":0.0010170862,"threshold_uncertainty_score":0.004437566},"labels":[],"label_agreement":null},{"id":"W2104655352","doi":"10.1109/tvt.2007.897659","title":"Self-Matching Space-Time Block Codes for Matrix Kalman Estimator-Based ML Detector in MIMO Fading Channels","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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 Toronto","funders":"","keywords":"Fading; Space–time block code; Algorithm; MIMO; Block code; Channel state information; Decoding methods; Rayleigh fading; Computer science; Mathematics; Detector; Control theory (sociology); Channel (broadcasting); Electronic engineering; Wireless; Telecommunications; Engineering; Artificial intelligence","score_opus":0.007696844165269731,"score_gpt":0.2571496473522526,"score_spread":0.24945280318698287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104655352","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":[0.0040538376,0.00019376387,0.99478453,0.00006868115,0.000031465213,0.000015560301,0.00001722288,0.00012389362,0.0007111244],"genre_scores_gemma":[0.3272318,0.00053671445,0.66960806,0.00017469157,0.00016989838,0.00013467268,0.00011739753,0.00004795303,0.0019788628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989201,0.00040972314,0.000055400524,0.00014534863,0.00041639726,0.000053121443],"domain_scores_gemma":[0.99865305,0.000580188,0.00014661883,0.0002930913,0.00029710724,0.000029813653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011588616,0.00043023768,0.00044918162,0.00037606584,0.00035324608,0.00059604156,0.00060500833,0.0006524837,0.0012810816],"category_scores_gemma":[0.003925815,0.00022121867,0.0003222721,0.0005160519,0.0005445194,0.0008651818,0.00060845714,0.0006094734,0.0006414311],"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":[0.00025269433,0.00010298784,0.0011142483,0.00019595672,0.00007968043,0.00014732995,0.00022309013,0.30520856,0.042816136,0.32343924,0.0035506047,0.32286954],"study_design_scores_gemma":[0.000016496762,0.00007034495,0.0001240827,0.000012813492,0.00001249259,0.0000840757,0.000006880567,0.97421515,0.008474118,0.013226674,0.0037390718,0.000017683731],"about_ca_topic_score_codex":0.0008340569,"about_ca_topic_score_gemma":0.0013821147,"teacher_disagreement_score":0.0012810816,"about_ca_system_score_codex":0.0005306787,"about_ca_system_score_gemma":0.00095722044,"threshold_uncertainty_score":0.0061287284},"labels":[],"label_agreement":null},{"id":"W2105377890","doi":"10.1109/tvt.2007.905329","title":"Fast Client-Based Connection Recovery for Soft WLAN-to-Cellular Vertical Handoff","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer network; Handover; Computer science; Cellular network; Base station; Wireless; Network packet; Wireless network; Default gateway; Soft handover; Roaming; Local area network; Wi-Fi; Telecommunications","score_opus":0.010411579697634135,"score_gpt":0.2073564469210455,"score_spread":0.19694486722341137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105377890","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":[0.54377234,0.0008169035,0.43850616,0.0003608196,0.00016842507,0.00042376237,0.00012405285,0.008645184,0.0071824845],"genre_scores_gemma":[0.9762141,0.00008269232,0.02170101,0.00004315664,0.000017377313,0.00003548618,0.00006931416,0.000030421152,0.0018064257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992287,0.0001656554,0.000038869923,0.000078294775,0.00033217622,0.00015626592],"domain_scores_gemma":[0.9982685,0.0005558804,0.00015864016,0.0004953098,0.00037357368,0.00014808791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011289669,0.00037652676,0.00044058292,0.0005202965,0.0006814214,0.0007904713,0.0014451611,0.00084686384,0.0033447728],"category_scores_gemma":[0.0027085918,0.00029297956,0.00019570642,0.0003336539,0.00040035817,0.00089104485,0.0011412296,0.0009357834,0.0009332186],"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":[0.003957368,0.0012294245,0.01079833,0.0002935521,0.0001225098,0.00118864,0.00054804585,0.070330314,0.29688358,0.014673793,0.007941486,0.592033],"study_design_scores_gemma":[0.00016848897,0.00054669357,0.0048924675,0.000022241189,0.00005714895,0.00049097824,0.00013137459,0.93383425,0.054916453,0.0019624208,0.0029109074,0.00006647285],"about_ca_topic_score_codex":0.004061987,"about_ca_topic_score_gemma":0.004025316,"teacher_disagreement_score":0.004061987,"about_ca_system_score_codex":0.00058416754,"about_ca_system_score_gemma":0.00080350874,"threshold_uncertainty_score":0.011189401},"labels":[],"label_agreement":null},{"id":"W2105439331","doi":"10.1109/tvt.2009.2016345","title":"Cooperative OFDM Channel Estimation in the Presence of Frequency Offsets","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pairwise error probability; Orthogonal frequency-division multiplexing; Relay; Algorithm; Channel (broadcasting); Multiplexing; Frequency offset; Bit error rate; Mathematics; Computer science; Electronic engineering; Statistics; Topology (electrical circuits); Power (physics); Telecommunications; Engineering; Fading; Physics; Combinatorics","score_opus":0.0214490633791099,"score_gpt":0.272170988293637,"score_spread":0.2507219249145271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105439331","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":[0.03178421,0.000404744,0.96624506,0.00008971357,0.000023369683,0.000017157883,0.000020610205,0.00011587808,0.0012991822],"genre_scores_gemma":[0.8945375,0.00060173345,0.1026418,0.00005615195,0.000062281055,0.000076664,0.00006382808,0.00001935416,0.00194064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994729,0.00014296702,0.000015432252,0.000103160266,0.00017674656,0.00008880233],"domain_scores_gemma":[0.99870217,0.00081883516,0.0001377687,0.00010657703,0.0002032324,0.000031467956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007487658,0.00064131676,0.00072471425,0.0002626289,0.00034202987,0.0005842377,0.0006306514,0.00067449996,0.0003617214],"category_scores_gemma":[0.0028773288,0.0003837585,0.00036398284,0.0004597111,0.00071273226,0.0008854855,0.00089393056,0.0006804279,0.00017329576],"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":[0.000094929615,0.000026218542,0.0012691512,0.000074570315,0.000048179794,0.00032842968,0.00019437858,0.928768,0.008200049,0.011588968,0.0006359827,0.048771232],"study_design_scores_gemma":[0.0000049622186,0.000028272994,0.00016084206,0.0000032668245,0.0000074295413,0.00004561492,0.000014425815,0.9969908,0.001184822,0.0012481718,0.00030492875,0.0000063897364],"about_ca_topic_score_codex":0.00564724,"about_ca_topic_score_gemma":0.004171884,"teacher_disagreement_score":0.00564724,"about_ca_system_score_codex":0.00059810386,"about_ca_system_score_gemma":0.0010969662,"threshold_uncertainty_score":0.01122874},"labels":[],"label_agreement":null},{"id":"W2107084511","doi":"10.1109/tvt.2011.2157371","title":"Performance Analysis Framework for Transmit Antenna Selection Strategies of Cooperative MIMO AF Relay Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Moment-generating function; MIMO; Nakagami distribution; Relay; Fading; Channel state information; Topology (electrical circuits); Cumulative distribution function; Channel (broadcasting); Mathematics; Upper and lower bounds; Signal-to-noise ratio (imaging); Maximal-ratio combining; Computer science; Algorithm; Random variable; Probability density function; Telecommunications; Statistics; Wireless; Combinatorics; Physics","score_opus":0.02860655596243606,"score_gpt":0.26298816079615783,"score_spread":0.23438160483372178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107084511","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":[0.018019026,0.0015554309,0.9665249,0.00033266091,0.000036650134,0.000073048104,0.000098460405,0.00019303495,0.013166804],"genre_scores_gemma":[0.9398969,0.0028696863,0.049647223,0.00016196418,0.00014804513,0.00027761114,0.00012000683,0.00007741694,0.006801259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988073,0.0004106084,0.000039258623,0.00014138545,0.00037953473,0.00022183101],"domain_scores_gemma":[0.9978423,0.0012916861,0.00026304708,0.00008023378,0.00046985658,0.00005290329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025246462,0.0021004595,0.0010474933,0.0011310041,0.00054385496,0.0019852114,0.0015085657,0.0011584979,0.0036085956],"category_scores_gemma":[0.0055768355,0.00056532363,0.00077210803,0.0011260594,0.0012567024,0.0014067274,0.0011216535,0.0010218039,0.00071927725],"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":[0.000030720443,0.000019509529,0.00025769864,0.000059789174,0.000027484653,0.00012745065,0.00010314184,0.9379914,0.0015991346,0.050698478,0.0007882973,0.008296822],"study_design_scores_gemma":[0.0000034090256,0.000029746147,0.00009098285,0.000008348383,0.000008930962,0.000033914293,0.000022104025,0.9927335,0.00019009931,0.006530004,0.0003417934,0.0000071914865],"about_ca_topic_score_codex":0.007463055,"about_ca_topic_score_gemma":0.00355285,"teacher_disagreement_score":0.007463055,"about_ca_system_score_codex":0.0024852008,"about_ca_system_score_gemma":0.0014078163,"threshold_uncertainty_score":0.018031478},"labels":[],"label_agreement":null},{"id":"W2107360574","doi":"10.1109/tvt.2011.2145013","title":"Optimized Nonuniform Constellation Rearrangement for Cooperative Relaying","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Carleton University","funders":"University of Ottawa","keywords":"QAM; Quadrature amplitude modulation; Constellation; Constellation diagram; Cartesian product; Heuristic; Topology (electrical circuits); Mathematics; Relay; Computer science; Algorithm; Mathematical optimization; Bit error rate; Decoding methods; Discrete mathematics; Physics; Combinatorics; Power (physics)","score_opus":0.05037336778511688,"score_gpt":0.2658131556275118,"score_spread":0.2154397878423949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107360574","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09222291,0.0003451263,0.90369916,0.00013458836,0.000020555915,0.00003609403,0.000059728573,0.00019033799,0.003291598],"genre_scores_gemma":[0.84569186,0.0003497261,0.15212806,0.000051209725,0.00002087586,0.00007449039,0.00015392622,0.000037452828,0.0014924847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999764,0.0000982231,0.000011948951,0.00004536126,0.00004979404,0.000030671046],"domain_scores_gemma":[0.9994875,0.00021456803,0.00009904408,0.00011451749,0.00006113159,0.000023270191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044787905,0.00051740144,0.00044182155,0.0002843387,0.0001842009,0.00031778286,0.0004660135,0.00029273581,0.0009616132],"category_scores_gemma":[0.0022007413,0.00017076837,0.0002169247,0.0005896877,0.00044032073,0.0007801073,0.0006612467,0.0003609894,0.0002716926],"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":[0.0002377716,0.000034754277,0.000575107,0.00006296392,0.000017945298,0.00014868614,0.000092879534,0.85422057,0.030435324,0.030670837,0.0009326521,0.08257059],"study_design_scores_gemma":[0.00002478403,0.00016523752,0.00022919416,0.0000086506625,0.00001113547,0.00009875519,0.000025030757,0.9767377,0.00719449,0.0138925025,0.0015997533,0.0000127348485],"about_ca_topic_score_codex":0.00033808546,"about_ca_topic_score_gemma":0.0004841651,"teacher_disagreement_score":0.0009616132,"about_ca_system_score_codex":0.0003940304,"about_ca_system_score_gemma":0.00036853887,"threshold_uncertainty_score":0.0032168627},"labels":[],"label_agreement":null},{"id":"W2107370983","doi":"10.1109/tvt.2012.2193425","title":"Energy-Efficient Uniquely Factorable Constellation Designs for Noncoherent SIMO Channels","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transmitter; Algorithm; Coding gain; Quadrature amplitude modulation; QAM; MIMO; Diversity gain; Electronic engineering; Channel state information; Mathematics; Computer science; Channel (broadcasting); Topology (electrical circuits); Bit error rate; Wireless; Telecommunications; Decoding methods; Engineering","score_opus":0.02829839554923162,"score_gpt":0.2585105053605497,"score_spread":0.2302121098113181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107370983","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":[0.013617751,0.00029012313,0.9847889,0.000059793714,0.000020843134,0.000023318573,0.000022781658,0.00005940245,0.0011171548],"genre_scores_gemma":[0.468727,0.0006372222,0.52915996,0.00012673334,0.000057979163,0.00013524598,0.000120543715,0.000051984032,0.0009833722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991654,0.00035214986,0.000046522782,0.0001246402,0.00023666902,0.000074520874],"domain_scores_gemma":[0.9986161,0.00062431744,0.00025596892,0.00022433337,0.0002311212,0.00004824259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010475912,0.00085992465,0.00069536694,0.0006414182,0.0003786978,0.0005272713,0.0005917227,0.0005487695,0.0012208121],"category_scores_gemma":[0.0038901465,0.00029867716,0.00041874062,0.0007669645,0.00089888007,0.0013750762,0.001036884,0.0007242775,0.00028225518],"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":[0.0003373673,0.0000663069,0.0010098517,0.0002972732,0.000065533524,0.0001667387,0.00035484842,0.4545796,0.042405136,0.21065018,0.0010918173,0.2889754],"study_design_scores_gemma":[0.00005255948,0.00037767398,0.000289951,0.00004590803,0.000023952027,0.00026830178,0.00006658146,0.9148922,0.022756975,0.055563413,0.005604572,0.000057874786],"about_ca_topic_score_codex":0.00019984305,"about_ca_topic_score_gemma":0.00024772648,"teacher_disagreement_score":0.0012208121,"about_ca_system_score_codex":0.00042755625,"about_ca_system_score_gemma":0.0004991176,"threshold_uncertainty_score":0.0055403113},"labels":[],"label_agreement":null},{"id":"W2108068134","doi":"10.1109/tvt.2010.2102375","title":"A Predictive Energy-Efficient Technique to Support Object-Tracking Sensor Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":76,"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":"Wireless sensor network; Energy consumption; Tracking (education); Computer science; Video tracking; Efficient energy use; Energy (signal processing); Real-time computing; Object detection; Object (grammar); Commodity; Artificial intelligence; Computer network; Engineering; Pattern recognition (psychology)","score_opus":0.013842975233755338,"score_gpt":0.21857704710586398,"score_spread":0.20473407187210865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108068134","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":[0.032711323,0.0004240582,0.9626399,0.00012403687,0.00010585847,0.00005563505,0.00006614044,0.001456995,0.0024160163],"genre_scores_gemma":[0.6706031,0.0005337458,0.3242758,0.00013128515,0.00006400604,0.00012084364,0.00024845795,0.000075422366,0.0039473088],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998062,0.000021585029,0.000011382595,0.000044118537,0.0000978415,0.000018820409],"domain_scores_gemma":[0.99961483,0.00012751875,0.000045100613,0.000086677406,0.000108273736,0.000017565219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003201066,0.00044586335,0.0003479948,0.00045149718,0.00039070757,0.00028910988,0.0011962992,0.000405896,0.0012931124],"category_scores_gemma":[0.001307974,0.00023149609,0.00023962835,0.0007673315,0.0002001472,0.0007390372,0.0004846176,0.00048342723,0.0004144046],"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":[0.00043000974,0.00016978417,0.0021591163,0.00017323029,0.000053614473,0.00036762463,0.00014519834,0.2825106,0.07984847,0.010040186,0.004325012,0.61977714],"study_design_scores_gemma":[0.000013761782,0.00014112305,0.00044801572,0.0000098267665,0.00001695371,0.0002242465,0.000017953644,0.9750497,0.017004354,0.0026341279,0.004430678,0.000009409723],"about_ca_topic_score_codex":0.0017551841,"about_ca_topic_score_gemma":0.0031851623,"teacher_disagreement_score":0.0017551841,"about_ca_system_score_codex":0.00023584891,"about_ca_system_score_gemma":0.00043971173,"threshold_uncertainty_score":0.0043259263},"labels":[],"label_agreement":null},{"id":"W2108488464","doi":"10.1109/tvt.2010.2047417","title":"A Channel-Estimation and Data-Detection Scheme for Multiuser MIMO-CDMA Systems in Fading Channels","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","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":"Concordia University","funders":"","keywords":"Fading; Rayleigh fading; MIMO; Channel (broadcasting); Telecommunications link; Computer science; Code division multiple access; Bit error rate; Multiuser detection; Electronic engineering; Channel state information; Transmission (telecommunications); Engineering; Telecommunications; Wireless","score_opus":0.035683091231227974,"score_gpt":0.30761061110538485,"score_spread":0.27192751987415686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108488464","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14776805,0.0009979581,0.84931684,0.00015584525,0.000088871915,0.000100752906,0.000031225725,0.00025622768,0.0012842743],"genre_scores_gemma":[0.8271471,0.00048441364,0.17144786,0.00008525615,0.000041474712,0.00005504052,0.000029410032,0.000015498441,0.00069391495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99918646,0.0003053209,0.000034461504,0.00009966319,0.0002952985,0.000078806544],"domain_scores_gemma":[0.9979074,0.0011907066,0.00023167941,0.0002793852,0.0003474469,0.000043309323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011915007,0.00066962134,0.00047876436,0.00028532554,0.00036733891,0.00049083866,0.0005257322,0.00075292075,0.00057336356],"category_scores_gemma":[0.0039373552,0.00021323556,0.0002890969,0.00033968483,0.0004974175,0.00094642845,0.0004993432,0.0005826045,0.00016356792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062118575,0.00028275637,0.003936415,0.00042430853,0.00018108405,0.00034397785,0.00022126091,0.68965185,0.14161205,0.01272995,0.0005732925,0.1494218],"study_design_scores_gemma":[0.000016578675,0.00030519656,0.00073791714,0.000009686666,0.00003601955,0.00016861486,0.000013537316,0.9658188,0.031779453,0.0005235918,0.00056612503,0.000024450268],"about_ca_topic_score_codex":0.0010937362,"about_ca_topic_score_gemma":0.0015136494,"teacher_disagreement_score":0.0011915007,"about_ca_system_score_codex":0.00044547566,"about_ca_system_score_gemma":0.00062541076,"threshold_uncertainty_score":0.006301284},"labels":[],"label_agreement":null},{"id":"W2108498890","doi":"10.1109/tvt.2007.912161","title":"A Performance Modeling of Connectivity in Vehicular <i>Ad Hoc</i> Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":186,"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","funders":"","keywords":"Wireless ad hoc network; Node (physics); Computer science; Computer network; Poisson distribution; Throughput; Vehicular ad hoc network; Mobility model; Routing (electronic design automation); Poisson point process; Population; Probability distribution; Engineering; Wireless; Mathematics; Telecommunications; Statistics","score_opus":0.009830907804650471,"score_gpt":0.1909439994456104,"score_spread":0.18111309164095996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108498890","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":[0.13298748,0.0018605094,0.8479067,0.0011154342,0.00012287441,0.00008445291,0.00051114487,0.00051057903,0.014900792],"genre_scores_gemma":[0.9827619,0.0011251082,0.011923424,0.00006465942,0.00009576671,0.000074857606,0.00025344972,0.00006584172,0.003634915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924976,0.00027203845,0.000029739946,0.000122577,0.00020255511,0.00012333438],"domain_scores_gemma":[0.9983688,0.00092505745,0.00023339002,0.00008523471,0.00033731307,0.00005021559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000938919,0.00080878194,0.0004976013,0.0009685792,0.0005220113,0.0011679094,0.001174028,0.00091511454,0.0012424398],"category_scores_gemma":[0.0050799306,0.00038789414,0.0004530533,0.001286814,0.00084370124,0.0016931455,0.00053758785,0.00057138375,0.00046449568],"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":[0.000016905775,0.000011316548,0.0007738555,0.000015106375,0.000009162052,0.000047986632,0.000031463263,0.9823016,0.000562742,0.012212192,0.0005100486,0.0035076714],"study_design_scores_gemma":[9.1438284e-7,0.000012293476,0.0001841548,0.0000030783144,0.0000039230417,0.000018535477,0.00000957531,0.9967319,0.00012226439,0.0025593562,0.000350839,0.0000031739928],"about_ca_topic_score_codex":0.00827195,"about_ca_topic_score_gemma":0.0037123407,"teacher_disagreement_score":0.00827195,"about_ca_system_score_codex":0.0015594609,"about_ca_system_score_gemma":0.0006238257,"threshold_uncertainty_score":0.016447604},"labels":[],"label_agreement":null},{"id":"W2108828558","doi":"10.1109/tvt.2004.841555","title":"Efficient Nakagami-&amp;lt;tex&amp;gt;$m$&amp;lt;/tex&amp;gt;Fading Channel Simulation","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":218,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada); University of Alberta","funders":"","keywords":"Nakagami distribution; Fading; Fading distribution; Envelope (radar); Mathematics; Autocorrelation; Cumulative distribution function; Statistics; Applied mathematics; Probability density function; Telecommunications; Computer science","score_opus":0.020561126510726908,"score_gpt":0.27016356268375247,"score_spread":0.24960243617302555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108828558","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":[0.022862857,0.00008931323,0.9683699,0.00006128132,0.000023320266,0.000075256205,0.0002091206,0.0009279449,0.0073809205],"genre_scores_gemma":[0.6289721,0.00032265042,0.36304352,0.000051936113,0.000026890933,0.00028522126,0.00039461392,0.00027919555,0.0066238786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996501,0.00010460587,0.000015727594,0.000021095477,0.00016807854,0.00004039964],"domain_scores_gemma":[0.9989196,0.00064781634,0.000056562607,0.00015414848,0.00019401083,0.000027964388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054429314,0.00034728687,0.0005749215,0.0003727011,0.00029649172,0.000647784,0.00069456163,0.0004945627,0.005035134],"category_scores_gemma":[0.0023126714,0.00019438453,0.00025240442,0.0005736899,0.00026571043,0.0007034018,0.00046206763,0.00048698665,0.0014986021],"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":[0.00007104894,0.000032273034,0.0004145847,0.000050796487,0.000013292405,0.000071971495,0.000059445414,0.9512697,0.0072792247,0.019272165,0.001122284,0.020343171],"study_design_scores_gemma":[0.000005833973,0.000008584352,0.0000588706,0.0000028686136,0.0000015695965,0.000016836673,0.0000039106785,0.9951593,0.0028368852,0.0011892405,0.0007114497,0.0000045749343],"about_ca_topic_score_codex":0.0020782878,"about_ca_topic_score_gemma":0.0021005194,"teacher_disagreement_score":0.005035134,"about_ca_system_score_codex":0.00042904483,"about_ca_system_score_gemma":0.000689305,"threshold_uncertainty_score":0.016844213},"labels":[],"label_agreement":null},{"id":"W2109320968","doi":"10.1109/tvt.2008.2010942","title":"A Mobile-Sink-Based Packet Transmission Scheduling Algorithm for Dense Wireless Sensor Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wireless sensor network; Computer science; Network packet; Computer network; Key distribution in wireless sensor networks; Sink (geography); Energy consumption; Scheduling (production processes); Data transmission; Real-time computing; Algorithm; Sensor node; Wireless; Wireless network; Engineering; Mathematical optimization; Mathematics; Telecommunications","score_opus":0.011842809680174347,"score_gpt":0.2278224329427031,"score_spread":0.21597962326252876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109320968","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":[0.006012777,0.00010869763,0.9930607,0.000042684245,0.0000519414,0.00004653196,0.000015216227,0.00027822427,0.00038319625],"genre_scores_gemma":[0.26805416,0.0003225232,0.729723,0.0000565127,0.00007329184,0.0002445262,0.00015023403,0.00008566651,0.0012900966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970466,0.00007626893,0.000025108884,0.000052286163,0.00011292691,0.000028663051],"domain_scores_gemma":[0.9994894,0.00020778725,0.000077394536,0.000058834208,0.0001377711,0.000028745208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006234183,0.0007437734,0.00075721496,0.00062312844,0.0005632379,0.0004881979,0.0012182315,0.00044531433,0.0007853632],"category_scores_gemma":[0.0017837443,0.00038034783,0.0003806694,0.00075505476,0.00035865864,0.0009553668,0.00058917794,0.00059853814,0.00025040176],"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":[0.00017171582,0.000121875106,0.00072578987,0.00013796649,0.00006413914,0.00013577091,0.00015060537,0.7295119,0.017097274,0.026798008,0.0026285776,0.22245634],"study_design_scores_gemma":[0.000014769398,0.00004293664,0.000051157243,0.0000030294332,0.000007281968,0.00004063733,0.0000066863768,0.9957911,0.001521216,0.001482196,0.0010333195,0.000005642147],"about_ca_topic_score_codex":0.0017050202,"about_ca_topic_score_gemma":0.0018674015,"teacher_disagreement_score":0.0017050202,"about_ca_system_score_codex":0.0006037658,"about_ca_system_score_gemma":0.0011655582,"threshold_uncertainty_score":0.0043806434},"labels":[],"label_agreement":null},{"id":"W2109495118","doi":"10.1109/tvt.2006.877470","title":"Computationally Efficient Method to Evaluate the Performance of Guard-Channel-Based Call Admission Control in Cellular Networks","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":34,"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":"","keywords":"Handover; Call Admission Control; Computer science; Call blocking; Markov chain; Blocking (statistics); Bounding overwatch; Guard (computer science); Channel (broadcasting); Computational complexity theory; Quality of service; Cellular network; Markov process; Computer network; Mathematical optimization; Algorithm; Mathematics; Wireless; Wireless network; Telecommunications; Artificial intelligence","score_opus":0.011458473643750655,"score_gpt":0.27330722589393275,"score_spread":0.2618487522501821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109495118","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046115376,0.00025466824,0.9494313,0.00008311943,0.000050940303,0.000114305134,0.000075679294,0.00075755554,0.0031169641],"genre_scores_gemma":[0.7382608,0.00024127649,0.2594523,0.00006172824,0.00003536445,0.00037739944,0.0001795734,0.00007963158,0.0013118408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990663,0.0003351863,0.000046283993,0.00006125046,0.00041177947,0.0000792506],"domain_scores_gemma":[0.9965035,0.002507817,0.00021383869,0.00024680892,0.0004748165,0.00005321957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014664604,0.000867406,0.00077687873,0.00095123966,0.00047484905,0.0007036931,0.0008857863,0.00075110706,0.0021553575],"category_scores_gemma":[0.009269502,0.00023349911,0.00031412605,0.0007589972,0.00058369664,0.0008947703,0.0005764192,0.0007825941,0.0003076633],"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":[0.000084536296,0.000064371154,0.00074614515,0.000045394507,0.000023822076,0.000029976938,0.000020654961,0.959597,0.0021921808,0.0077105328,0.0003908078,0.02909458],"study_design_scores_gemma":[0.0000044119133,0.000011225858,0.00007509518,0.000001663741,0.0000020229902,0.000006449407,0.0000028441752,0.99887866,0.00047663212,0.00046225503,0.00007631603,0.0000024956735],"about_ca_topic_score_codex":0.008825884,"about_ca_topic_score_gemma":0.0059460443,"teacher_disagreement_score":0.008825884,"about_ca_system_score_codex":0.0012071921,"about_ca_system_score_gemma":0.0019874517,"threshold_uncertainty_score":0.017549038},"labels":[],"label_agreement":null},{"id":"W2109598501","doi":"10.1109/tvt.2008.2004766","title":"Fade Slope Analysis of Ka-Band Earth-LEO Satellite Links Using a Synthetic Rain Field Model","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":21,"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":"National Aeronautics and Space Administration","keywords":"Geostationary orbit; Fade; Fading; Ka band; Satellite; Remote sensing; Communications satellite; Meteorology; Environmental science; Ku band; Geology; Computer science; Telecommunications; Aerospace engineering; Geography; Engineering","score_opus":0.030531496364573543,"score_gpt":0.23284715830103242,"score_spread":0.2023156619364589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109598501","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":[0.8869542,0.00019139999,0.1097683,0.00009835247,0.000011445895,0.000028986477,0.0002443928,0.00022751086,0.0024754608],"genre_scores_gemma":[0.99768937,0.00007622836,0.00188239,0.0000062855543,0.0000029623372,0.0000055803243,0.00008244689,0.000007474381,0.0002472073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991035,0.000028338622,0.0000049520368,0.000012204841,0.000021068998,0.000022934022],"domain_scores_gemma":[0.99946076,0.00031161128,0.000068101275,0.00003234479,0.00010782399,0.000019273475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046809422,0.0003581337,0.00024708675,0.00053892407,0.00017874721,0.00035762566,0.00033920296,0.0003181721,0.00045738416],"category_scores_gemma":[0.0013418455,0.00017059848,0.0003147715,0.00040881307,0.00024173081,0.00043019606,0.00023076686,0.00033305548,0.00008000389],"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":[0.000019696929,0.000007159176,0.0017312879,0.000006160787,0.0000075392322,0.00003247834,0.00001432818,0.9959085,0.00055964175,0.0005189078,0.000059158083,0.001135161],"study_design_scores_gemma":[0.0000018062199,0.000008395798,0.0007293826,9.4807393e-7,0.0000023866899,0.000009776538,0.0000059178674,0.9989328,0.00014294822,0.00013629656,0.000027118307,0.000002236128],"about_ca_topic_score_codex":0.014944264,"about_ca_topic_score_gemma":0.007699971,"teacher_disagreement_score":0.014944264,"about_ca_system_score_codex":0.000509662,"about_ca_system_score_gemma":0.00029957492,"threshold_uncertainty_score":0.029714525},"labels":[],"label_agreement":null},{"id":"W2110205247","doi":"10.1109/tvt.2009.2039235","title":"Performance Analysis of Scheduling Schemes for Rate-Adaptive MIMO OSFBC-OFDM Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":26,"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; Polytechnique Montréal","funders":"","keywords":"Orthogonal frequency-division multiplexing; Link adaptation; MIMO; Spectral efficiency; Fading; Computer science; MIMO-OFDM; Bit error rate; Scheduling (production processes); Electronic engineering; Multipath propagation; Block Error Rate; Algorithm; Channel (broadcasting); Telecommunications link; Decoding methods; Mathematics; Telecommunications; Engineering; Mathematical optimization","score_opus":0.007527590451905704,"score_gpt":0.21440259010852958,"score_spread":0.20687499965662387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110205247","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":[0.37659672,0.0020191548,0.60992396,0.00033288094,0.000089397116,0.00013801339,0.0001223776,0.00036105342,0.010416428],"genre_scores_gemma":[0.9849435,0.00030586342,0.014049196,0.000023562789,0.000019270601,0.000031830477,0.000027167043,0.0000126640425,0.00058700884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883574,0.0004661347,0.00005242843,0.000086598535,0.00037824974,0.00018087386],"domain_scores_gemma":[0.99552155,0.0029847291,0.00044578404,0.00027300642,0.0006868216,0.00008820133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002712277,0.00075837434,0.0006330539,0.00061010977,0.0006142916,0.00089922873,0.00055560673,0.00046828995,0.0014477086],"category_scores_gemma":[0.0075804684,0.00021450473,0.00032811472,0.00073758455,0.00065584853,0.00066674396,0.0005579814,0.0004400172,0.00018236853],"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":[0.00020524282,0.000052815027,0.0012171252,0.00007575439,0.000038767863,0.00008235288,0.000097440556,0.9499194,0.0077973674,0.015911333,0.00033911766,0.024263274],"study_design_scores_gemma":[0.000006415909,0.000050840466,0.00026985814,0.000005050415,0.00000873696,0.000026779164,0.000017768189,0.99690163,0.0014060722,0.0011590078,0.00014178857,0.000005953886],"about_ca_topic_score_codex":0.0036460578,"about_ca_topic_score_gemma":0.0032599058,"teacher_disagreement_score":0.0036460578,"about_ca_system_score_codex":0.0014973091,"about_ca_system_score_gemma":0.0011695866,"threshold_uncertainty_score":0.014344096},"labels":[],"label_agreement":null},{"id":"W2110233602","doi":"10.1109/tvt.2011.2178870","title":"Outage Analysis of Cooperative CDMA Systems in Nakagami- $m$ Fading Channels","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fading; Nakagami distribution; Telecommunications link; Moment-generating function; Maximal-ratio combining; Code division multiple access; Signal-to-noise ratio (imaging); Cumulative distribution function; Electronic engineering; Base station; Computer science; Probability density function; Topology (electrical circuits); Algorithm; Mathematics; Engineering; Telecommunications; Statistics; Electrical engineering; Decoding methods","score_opus":0.04226158480910014,"score_gpt":0.26416940244635523,"score_spread":0.2219078176372551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110233602","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":[0.71095866,0.0027128758,0.2711434,0.000733032,0.000043717504,0.000032043885,0.00022567318,0.00035564133,0.013794959],"genre_scores_gemma":[0.9965745,0.0003389534,0.0023627537,0.00002291264,0.000016986633,0.000008767917,0.000030475998,0.00001230973,0.00063235394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992725,0.0002781069,0.000024847868,0.00005177427,0.00022703469,0.00014559904],"domain_scores_gemma":[0.9934024,0.005139288,0.0004926163,0.00021766021,0.0006529823,0.00009504982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012618263,0.0006191293,0.0007585905,0.00070530747,0.000489112,0.00075547147,0.00052950095,0.0006936663,0.00092493446],"category_scores_gemma":[0.0074555045,0.0002646569,0.00025927095,0.0009244274,0.001103806,0.00071975146,0.0007187955,0.0005016972,0.0002016576],"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":[0.00011321002,0.000018918265,0.002310695,0.00006722098,0.000028073444,0.00030248155,0.0002091306,0.97210824,0.00369003,0.0141861625,0.0004341079,0.0065316833],"study_design_scores_gemma":[0.0000037725022,0.00002837678,0.0005931969,0.0000060650937,0.000009759554,0.000097011995,0.000040992578,0.9961964,0.0005961408,0.002315268,0.000104640894,0.000008423553],"about_ca_topic_score_codex":0.0077047343,"about_ca_topic_score_gemma":0.003591184,"teacher_disagreement_score":0.0077047343,"about_ca_system_score_codex":0.0016635807,"about_ca_system_score_gemma":0.00076651294,"threshold_uncertainty_score":0.015319765},"labels":[],"label_agreement":null},{"id":"W2110789418","doi":"10.1109/tvt.2009.2029980","title":"Performance Analysis of TDMA Relay Protocols Over Nakagami-$m$ Fading","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Nakagami distribution; Relay; Algorithm; Phase-shift keying; Quadrature amplitude modulation; Rayleigh fading; QAM; Maximal-ratio combining; Topology (electrical circuits); Time division multiple access; Computer science; Independent and identically distributed random variables; Telecommunications; Mathematics; Statistics; Bit error rate; Physics; Combinatorics; Random variable; Decoding methods","score_opus":0.02276005109920705,"score_gpt":0.2895012370451625,"score_spread":0.2667411859459555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110789418","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":[0.19990925,0.003654357,0.77206755,0.0006541334,0.000057989084,0.00008706903,0.00020468433,0.00038777787,0.02297719],"genre_scores_gemma":[0.9781933,0.0014251132,0.01695205,0.00005095152,0.000050046576,0.00006198023,0.0000728577,0.000041853058,0.003151832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989969,0.00033591487,0.000037476348,0.00012716968,0.0003416368,0.0001608227],"domain_scores_gemma":[0.9949203,0.0036964251,0.0004293878,0.0002625381,0.0006231133,0.00006817663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016712548,0.0008376018,0.0005734327,0.0009948366,0.00035507217,0.0010617145,0.0005885468,0.0005452878,0.0013601047],"category_scores_gemma":[0.0070352675,0.0003050396,0.00046612392,0.00063742296,0.0010006393,0.0010584777,0.00064148795,0.0007562105,0.00033126507],"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":[0.000086729575,0.000024523955,0.00095441524,0.00008773241,0.00004551233,0.00014611775,0.0001739859,0.89494544,0.0071244366,0.0816213,0.00059862586,0.014191171],"study_design_scores_gemma":[0.0000032185628,0.00003838446,0.00031615433,0.000008390356,0.000010619439,0.000059327936,0.000013944034,0.9916157,0.0013730603,0.0062668053,0.00028387958,0.000010563441],"about_ca_topic_score_codex":0.0037168919,"about_ca_topic_score_gemma":0.0014312678,"teacher_disagreement_score":0.0037168919,"about_ca_system_score_codex":0.0020207604,"about_ca_system_score_gemma":0.0010578759,"threshold_uncertainty_score":0.014661729},"labels":[],"label_agreement":null},{"id":"W2111336126","doi":"10.1109/tvt.2011.2158674","title":"Dynamic QoS-Based Bandwidth Allocation Framework for Broadband Wireless Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Computer network; WiMAX; Quality of service; Computer science; Wireless broadband; Interoperability; Dynamic bandwidth allocation; Bandwidth allocation; Wireless network; Radio resource management; Broadband networks; Mobile broadband; Resource allocation; Wireless; Broadband; Telecommunications","score_opus":0.009180173617254643,"score_gpt":0.2187033384236196,"score_spread":0.20952316480636496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111336126","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":[0.0019429143,0.0006244321,0.9936639,0.00023927195,0.00009367728,0.00005202859,0.000029740115,0.00025973815,0.0030944138],"genre_scores_gemma":[0.30411762,0.0022561024,0.6843002,0.00030881978,0.0005245737,0.000596895,0.00025234037,0.00020363815,0.0074398466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865156,0.00040191607,0.00007894816,0.0002017816,0.0005310557,0.00013474408],"domain_scores_gemma":[0.99950314,0.00016706325,0.000054143908,0.00006445163,0.00015780827,0.00005347648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023962485,0.000981551,0.00061669585,0.00074783014,0.00075319206,0.0016766303,0.002321607,0.000968961,0.0015654138],"category_scores_gemma":[0.0020104598,0.0003047655,0.00054895284,0.0008294967,0.0013459104,0.0019230428,0.0011666535,0.0017517088,0.00058951124],"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":[0.000047983667,0.000098674725,0.00027573088,0.000094831055,0.000027156599,0.00015808665,0.00019092145,0.3219135,0.008329105,0.59098995,0.0039993674,0.07387465],"study_design_scores_gemma":[0.000016707269,0.00004556904,0.00009270347,0.000020343947,0.000015373502,0.00007581701,0.00002738303,0.9158607,0.0011874279,0.065695934,0.0169405,0.000021578462],"about_ca_topic_score_codex":0.0055910177,"about_ca_topic_score_gemma":0.004460778,"teacher_disagreement_score":0.0055910177,"about_ca_system_score_codex":0.0020200575,"about_ca_system_score_gemma":0.0025995825,"threshold_uncertainty_score":0.014656663},"labels":[],"label_agreement":null},{"id":"W2112017000","doi":"10.1109/tvt.2007.900525","title":"A Service-Agent-Based Roaming Architecture for WLAN/Cellular Integrated Networks","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":35,"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 Waterloo","funders":"","keywords":"Roaming; Computer network; Computer science; Authentication (law); Overhead (engineering); Service (business); Cellular network; Wireless network; Service provider; Heterogeneous network; Computer security; Wireless; Telecommunications","score_opus":0.011615452262687329,"score_gpt":0.25533879763430267,"score_spread":0.24372334537161533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112017000","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":[0.018553142,0.00045439816,0.96535915,0.00047730366,0.00014513385,0.00015184013,0.0000317348,0.0031689918,0.011658308],"genre_scores_gemma":[0.56022435,0.0005985867,0.415825,0.00029041982,0.00008618903,0.00023890445,0.0002669804,0.00014640667,0.022323182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999749,0.0000761521,0.000024819114,0.00003210454,0.00008632703,0.00003167524],"domain_scores_gemma":[0.99983585,0.000022066097,0.000014989548,0.000033606695,0.00006359907,0.000029826344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050925335,0.00026221783,0.00025706599,0.0002705382,0.0005614268,0.0012006647,0.0010191421,0.0007490095,0.002116522],"category_scores_gemma":[0.00050466415,0.00016805544,0.00030638793,0.00025800394,0.00038977474,0.0011668785,0.000621673,0.000727472,0.0009944253],"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":[0.00039939466,0.00035182663,0.0017092881,0.0002530602,0.00012637278,0.00096297543,0.00090625975,0.111965835,0.067887396,0.43501928,0.018304009,0.36211428],"study_design_scores_gemma":[0.000049185663,0.00021266562,0.0004754713,0.000029146544,0.00007181672,0.00042849118,0.000113798495,0.87953454,0.012912091,0.026000636,0.080128565,0.000043763073],"about_ca_topic_score_codex":0.002733061,"about_ca_topic_score_gemma":0.0036352163,"teacher_disagreement_score":0.002733061,"about_ca_system_score_codex":0.0005134069,"about_ca_system_score_gemma":0.00061343884,"threshold_uncertainty_score":0.0070804954},"labels":[],"label_agreement":null},{"id":"W2112068091","doi":"10.1109/tvt.2010.2067452","title":"Investigating the Gaussian Convergence of the Distribution of the Aggregate Interference Power in Large Wireless Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":69,"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":"Gaussian; Interference (communication); Wireless network; Wireless ad hoc network; Computer science; Aggregate (composite); Gaussian random field; Convergence (economics); Wireless; Poisson distribution; Cognitive radio; Poisson point process; Topology (electrical circuits); Gaussian process; Mathematical optimization; Channel (broadcasting); Mathematics; Telecommunications; Statistics; Physics","score_opus":0.007220748117186674,"score_gpt":0.20286710637727998,"score_spread":0.1956463582600933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112068091","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19372039,0.0013364183,0.79720294,0.00081838405,0.000059774964,0.00007940804,0.00009957483,0.00033432382,0.0063486793],"genre_scores_gemma":[0.96480924,0.0020465837,0.03065499,0.00023913961,0.00013182925,0.00011325992,0.00014980095,0.00014602162,0.001709137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840957,0.000710919,0.00005863192,0.00018727033,0.0004156256,0.00021800528],"domain_scores_gemma":[0.9597614,0.032982405,0.002719986,0.0012217201,0.0028720615,0.00044238448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070160767,0.00093137677,0.00092020666,0.0015396754,0.00060567295,0.0011957341,0.0012665639,0.0011300073,0.000980969],"category_scores_gemma":[0.05228585,0.0006053543,0.00079136936,0.0014767852,0.002656874,0.0030035689,0.0014589695,0.0017582278,0.00026938104],"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":[0.00014464055,0.00006608601,0.005365359,0.00013346813,0.000076478704,0.0005345287,0.0006132354,0.89606285,0.004129425,0.08472064,0.0007950893,0.0073581752],"study_design_scores_gemma":[0.0000067658493,0.000024015515,0.0010521983,0.000014391723,0.000011209184,0.000075042444,0.000100319965,0.98165005,0.0007735587,0.016047409,0.0002263034,0.00001868674],"about_ca_topic_score_codex":0.006623865,"about_ca_topic_score_gemma":0.002934437,"teacher_disagreement_score":0.0070160767,"about_ca_system_score_codex":0.0017917823,"about_ca_system_score_gemma":0.0009520934,"threshold_uncertainty_score":0.037105024},"labels":[],"label_agreement":null},{"id":"W2112171890","doi":"10.1109/tvt.2009.2038925","title":"EM-Based Joint Channel Estimation and Data Detection for MIMO-CDMA Systems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Code division multiple access; MIMO; Rayleigh fading; Channel (broadcasting); Computer science; Algorithm; Multiuser detection; Fading; Expectation–maximization algorithm; Joint (building); Detection theory; Maximization; Electronic engineering; Mathematics; Maximum likelihood; Mathematical optimization; Telecommunications; Engineering; Statistics","score_opus":0.024938534087216767,"score_gpt":0.26514542324175855,"score_spread":0.24020688915454178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112171890","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036489503,0.00012481105,0.99549353,0.000045613055,0.000013990077,0.000009872891,0.000009281367,0.00018764772,0.00046625387],"genre_scores_gemma":[0.3613249,0.00038381998,0.6341483,0.00019743647,0.00008974363,0.00011597983,0.00012859413,0.00009026653,0.0035209665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998276,0.0007605945,0.00007228393,0.00022178788,0.0005448259,0.00012459552],"domain_scores_gemma":[0.99784076,0.0013490918,0.000158328,0.00026870158,0.00033687477,0.00004627794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018656249,0.0008685531,0.00092941505,0.00045243447,0.00038077502,0.000768155,0.0009868216,0.00095074443,0.0015279453],"category_scores_gemma":[0.006440177,0.000508066,0.000527881,0.000556377,0.00090802973,0.0014359971,0.001295981,0.0010776863,0.00090353633],"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":[0.00042041353,0.00014336819,0.0013131142,0.00022387336,0.0001919258,0.00017899639,0.00021256975,0.6561516,0.018555276,0.030746661,0.001729203,0.29013297],"study_design_scores_gemma":[0.000018930306,0.00006591113,0.00016097682,0.000009326086,0.000015975584,0.0001033427,0.00001378477,0.98540753,0.00906175,0.004101784,0.0010235881,0.000016937036],"about_ca_topic_score_codex":0.00088438386,"about_ca_topic_score_gemma":0.0012900505,"teacher_disagreement_score":0.0018656249,"about_ca_system_score_codex":0.00039928616,"about_ca_system_score_gemma":0.000784275,"threshold_uncertainty_score":0.009866476},"labels":[],"label_agreement":null},{"id":"W2113582384","doi":"10.1109/tvt.2008.920475","title":"Connection Admission Control for Multiservice Integrated Cellular/WLAN System","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":30,"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":"","keywords":"Computer network; Quality of service; Admission control; Computer science; Handover; Cellular network; Call Admission Control; Wireless; Wireless network; Wi-Fi; Maximization; Channel (broadcasting); Telecommunications; Mathematical optimization","score_opus":0.014129132060091587,"score_gpt":0.2297532875300605,"score_spread":0.2156241554699689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113582384","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":[0.30563095,0.0014398099,0.67823046,0.0006108403,0.00017793317,0.00023353555,0.000073489886,0.00165367,0.011949292],"genre_scores_gemma":[0.99335563,0.00007384329,0.0057581156,0.00003635621,0.000025484922,0.00002799553,0.00001573,0.0000071512245,0.00069982826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884784,0.00020129631,0.00004680469,0.00019279678,0.00040239515,0.00030892272],"domain_scores_gemma":[0.99909544,0.0002547015,0.00015608408,0.0000876442,0.00027767578,0.00012843854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007907607,0.00054182333,0.0006675724,0.00057463197,0.00094548264,0.0014450764,0.0012979927,0.00070184126,0.0016551961],"category_scores_gemma":[0.0015715356,0.00019807821,0.00033262838,0.00070398086,0.0006339049,0.00072944636,0.0007956753,0.001001334,0.00020790093],"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":[0.00072742195,0.0005991307,0.0031700344,0.00014572433,0.00009867482,0.0006593971,0.00032133306,0.7862964,0.034058224,0.025496198,0.0031886864,0.14523871],"study_design_scores_gemma":[0.000022165914,0.00003299812,0.00022719098,0.0000028244806,0.00001113719,0.00004319218,0.00001327201,0.99653035,0.001092081,0.0017090018,0.00030717312,0.00000873458],"about_ca_topic_score_codex":0.010931981,"about_ca_topic_score_gemma":0.007458878,"teacher_disagreement_score":0.010931981,"about_ca_system_score_codex":0.0019985067,"about_ca_system_score_gemma":0.0016644883,"threshold_uncertainty_score":0.021736681},"labels":[],"label_agreement":null},{"id":"W2114046997","doi":"10.1109/tvt.2002.800621","title":"Downlink flow control for wireless CDMA packet data networks","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer network; Computer science; Network packet; Telecommunications link; Throughput; Queue; Queueing theory; Transmission (telecommunications); Wireless network; Power control; Base station; Capture effect; Code division multiple access; Interference (communication); Wireless; Real-time computing; Channel (broadcasting); Power (physics); Telecommunications","score_opus":0.042850156535593986,"score_gpt":0.2764336810536252,"score_spread":0.23358352451803122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114046997","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":[0.023057425,0.002346652,0.9693689,0.00040271512,0.0002868742,0.0001375944,0.0000521664,0.00023923926,0.004108525],"genre_scores_gemma":[0.8300355,0.0028857996,0.15997624,0.00029459206,0.00052639336,0.0003685886,0.00010671514,0.00005254935,0.0057536694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993548,0.00023744008,0.000023890181,0.000081963095,0.00020925398,0.000092674345],"domain_scores_gemma":[0.9987446,0.0008532915,0.000099547986,0.000046150188,0.00021571788,0.000040698083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012522934,0.0008337744,0.0005779171,0.0004227986,0.0008585357,0.0014861503,0.00069503504,0.00083520444,0.0016978387],"category_scores_gemma":[0.0037390932,0.00022283303,0.00024065295,0.0005197513,0.0010114181,0.0007834679,0.00066260115,0.0010232574,0.00021804239],"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":[0.00035540483,0.0001765561,0.0014529004,0.000244178,0.000037306752,0.00021476336,0.00016689935,0.71896946,0.010010696,0.10015051,0.0031455369,0.16507584],"study_design_scores_gemma":[0.000027765156,0.000061570805,0.00010170214,0.000011454385,0.000011003414,0.00002780602,0.000012212715,0.981934,0.0013290981,0.014797123,0.0016768926,0.000009329993],"about_ca_topic_score_codex":0.00404791,"about_ca_topic_score_gemma":0.0025370184,"teacher_disagreement_score":0.00404791,"about_ca_system_score_codex":0.0013692537,"about_ca_system_score_gemma":0.0009344136,"threshold_uncertainty_score":0.009934664},"labels":[],"label_agreement":null},{"id":"W2115630151","doi":"10.1109/tvt.2007.912149","title":"Multistage MMSE PIC Space–Time Receiver With Non-Mutually Exclusive Grouping","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","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":"McGill University","funders":"","keywords":"Multiuser detection; Computer science; Single antenna interference cancellation; Minimum mean square error; Code division multiple access; Beamforming; Interference (communication); Bit error rate; Matched filter; Electronic engineering; Bandwidth (computing); Space-division multiple access; Telecommunications link; Real-time computing; Algorithm; Computer network; Telecommunications; Engineering; Mathematics; Statistics; Decoding methods","score_opus":0.011843687490737975,"score_gpt":0.22919858261069503,"score_spread":0.21735489511995706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115630151","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":[0.020057369,0.00017887229,0.97666377,0.0000935457,0.000039318704,0.00004632372,0.000028800245,0.0005943349,0.002297779],"genre_scores_gemma":[0.5156998,0.00020546744,0.47151062,0.00023037105,0.00009265825,0.00018041708,0.00014134693,0.00004075445,0.011898617],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987062,0.00029492608,0.00006750491,0.00019732465,0.00060020335,0.00013385144],"domain_scores_gemma":[0.9991904,0.00023789555,0.00011526906,0.00018965313,0.00023686257,0.000029857445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009560457,0.00074095314,0.0010040216,0.0003210017,0.00053597975,0.0008020828,0.0011820119,0.0011633099,0.0018655244],"category_scores_gemma":[0.0018694636,0.000499352,0.0005936722,0.00048961205,0.0005463317,0.00080855424,0.001136163,0.0006760941,0.0015133265],"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":[0.0019776477,0.00039685136,0.0047242376,0.00040743727,0.00042497623,0.0006557762,0.0007731661,0.3267539,0.21996981,0.032218926,0.0036373532,0.40805992],"study_design_scores_gemma":[0.000063085434,0.00043635603,0.0007067866,0.000016180882,0.000062756604,0.0003848993,0.00002756343,0.95090455,0.041109588,0.0030068753,0.0032486673,0.000032644723],"about_ca_topic_score_codex":0.001235183,"about_ca_topic_score_gemma":0.002004101,"teacher_disagreement_score":0.0018655244,"about_ca_system_score_codex":0.00043806998,"about_ca_system_score_gemma":0.00088307617,"threshold_uncertainty_score":0.0062408447},"labels":[],"label_agreement":null},{"id":"W2115773137","doi":"10.1109/tvt.2012.2227576","title":"AF Cooperative CDMA Outage Probability Analysis in Nakagami-$m$ Fading Channels","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Concordia University","funders":"","keywords":"Fading; Nakagami distribution; Cumulative distribution function; Probability density function; Signal-to-noise ratio (imaging); Interference (communication); Relay; Base station; Outage probability; Computer science; Maximal-ratio combining; Code division multiple access; Algorithm; Topology (electrical circuits); Fading distribution; Mathematics; Electronic engineering; Statistics; Telecommunications; Engineering; Channel (broadcasting); Physics; Decoding methods; Rayleigh fading; Combinatorics","score_opus":0.031911681769431946,"score_gpt":0.27552293624478347,"score_spread":0.24361125447535154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115773137","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":[0.35066134,0.0027690053,0.6270014,0.0005111914,0.00005292655,0.000058419817,0.0002824714,0.0005507998,0.018112518],"genre_scores_gemma":[0.98878086,0.0008054281,0.008841119,0.00004417944,0.0000459617,0.000032797263,0.000055909866,0.000026898704,0.0013668754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989166,0.00029670505,0.000040014715,0.00011000684,0.00043368715,0.00020303094],"domain_scores_gemma":[0.9924344,0.0056425803,0.00059958274,0.0003103897,0.00092249777,0.00009070112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013773469,0.0008949178,0.00074047636,0.0010237293,0.0006121478,0.001062683,0.00085402286,0.00081324996,0.0011407975],"category_scores_gemma":[0.009407825,0.00033332358,0.00037078196,0.001456651,0.0012538866,0.0010194723,0.0008252403,0.0007392953,0.00030811856],"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":[0.00008387056,0.000026425445,0.0015942033,0.000073700096,0.000027013151,0.00024959372,0.00017423739,0.96361613,0.003387451,0.021355312,0.0004364788,0.008975621],"study_design_scores_gemma":[0.000004175936,0.000030410712,0.00053959416,0.000007603613,0.00000954129,0.00009547164,0.000030579096,0.9941836,0.0007678667,0.0041404488,0.00017936238,0.00001133737],"about_ca_topic_score_codex":0.0098086735,"about_ca_topic_score_gemma":0.0038782398,"teacher_disagreement_score":0.0098086735,"about_ca_system_score_codex":0.0018945129,"about_ca_system_score_gemma":0.0010965947,"threshold_uncertainty_score":0.019503117},"labels":[],"label_agreement":null},{"id":"W2115951137","doi":"10.1109/tvt.2007.909264","title":"Distributed Correlative Power Control Schemes for Mobile<i>Ad hoc</i>Networks Using Directional Antennas","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":20,"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; Concordia University","funders":"","keywords":"Wireless ad hoc network; Power control; Mobile ad hoc network; Computer science; Throughput; Network packet; Computer network; Interference (communication); Transmission (telecommunications); Kalman filter; Network topology; Wireless; Directional antenna; Distributed coordination function; Power (physics); Electronic engineering; Engineering; IEEE 802.11; Antenna (radio); Channel (broadcasting); Telecommunications","score_opus":0.011864842148423423,"score_gpt":0.23409178539750114,"score_spread":0.2222269432490777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115951137","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":[0.017492106,0.00024846115,0.9807222,0.00006814389,0.00003749285,0.000018665482,0.000008032924,0.00024320485,0.0011616551],"genre_scores_gemma":[0.8916031,0.00033215946,0.1062437,0.000072494826,0.00006433009,0.00006491804,0.000033379387,0.00003195824,0.0015538706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997155,0.00007674409,0.000013868445,0.00005782047,0.000111918074,0.000024178256],"domain_scores_gemma":[0.9992217,0.00034923968,0.00014841546,0.00012577743,0.00013414038,0.000020803442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007791455,0.0005124525,0.00032018137,0.0003347662,0.0003411423,0.00051771046,0.0010102494,0.00034111808,0.0006188782],"category_scores_gemma":[0.0018040016,0.00017734797,0.00029930772,0.00038569112,0.00055020454,0.00080545637,0.00036099934,0.00062314206,0.00016484571],"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":[0.00015403438,0.0002466318,0.0014473774,0.00010386301,0.000058584683,0.00011736816,0.00016190288,0.7128387,0.027584597,0.04480188,0.0012576069,0.21122746],"study_design_scores_gemma":[0.000028676834,0.0001589328,0.00025011986,0.0000081516855,0.000018263532,0.00006430922,0.0000141675655,0.98834527,0.0049479906,0.005093594,0.001058684,0.000011893537],"about_ca_topic_score_codex":0.0010392586,"about_ca_topic_score_gemma":0.0014875273,"teacher_disagreement_score":0.0010392586,"about_ca_system_score_codex":0.000527998,"about_ca_system_score_gemma":0.00038498806,"threshold_uncertainty_score":0.0041205883},"labels":[],"label_agreement":null},{"id":"W2116106205","doi":"10.1109/tvt.2007.901962","title":"Class of Full-Rank Space-Time Codes Combining Orthogonal Designs With Delay Diversity","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"McGill University","funders":"","keywords":"Block code; Phase-shift keying; Quadrature amplitude modulation; Concatenated error correction code; Coding gain; Algorithm; Transmit diversity; Fountain code; Computer science; QAM; Decoding methods; Rayleigh fading; Linear code; Fading; Mathematics; Electronic engineering; Bit error rate; Engineering","score_opus":0.01611387551553621,"score_gpt":0.2145916082527313,"score_spread":0.1984777327371951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116106205","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":[0.070891954,0.0020344032,0.90400434,0.00023251258,0.00016811838,0.000114873874,0.0003023915,0.00047647464,0.021774875],"genre_scores_gemma":[0.6438535,0.0021386987,0.34363165,0.00039045818,0.00038733313,0.00030978673,0.0006747686,0.000100336205,0.00851354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991623,0.00017904893,0.000048539765,0.000104568586,0.00040679073,0.000098705255],"domain_scores_gemma":[0.9983376,0.0005719713,0.00025542596,0.00034034473,0.00039766356,0.00009705441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006813766,0.00063238875,0.00048935704,0.0010009401,0.00036354433,0.00080386293,0.00055184733,0.0005972078,0.0015945747],"category_scores_gemma":[0.0020978015,0.00020071688,0.00037199614,0.00077610475,0.00063132675,0.00115153,0.000794994,0.00062798505,0.00055078196],"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":[0.00039910918,0.00014841338,0.0015163652,0.00029606515,0.00011252212,0.00032415226,0.0001876732,0.14216973,0.04101635,0.448969,0.0044775587,0.36038303],"study_design_scores_gemma":[0.0001938549,0.0008505815,0.0010003125,0.00014744412,0.000068985435,0.0014850278,0.000061230596,0.6938555,0.031770818,0.20534818,0.065067485,0.00015053526],"about_ca_topic_score_codex":0.00034602545,"about_ca_topic_score_gemma":0.00048447624,"teacher_disagreement_score":0.0015945747,"about_ca_system_score_codex":0.00041675923,"about_ca_system_score_gemma":0.0007894984,"threshold_uncertainty_score":0.0053343773},"labels":[],"label_agreement":null},{"id":"W2116115706","doi":"10.1109/tvt.2004.841553","title":"Optimal Adaptation Methods and Class of Operation: Keys to Improving Feedforward Amplifier Power Efficiency","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Power Amplifier Design","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":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Amplifier; Linearity; Feed forward; Electronic engineering; Linear amplifier; Computer science; RF power amplifier; Power-added efficiency; SIGNAL (programming language); Control theory (sociology); Engineering; CMOS; Control engineering; Artificial intelligence","score_opus":0.010640432656043251,"score_gpt":0.26649886879691975,"score_spread":0.2558584361408765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116115706","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":[0.061253693,0.00087706983,0.93400437,0.00013583047,0.000031030624,0.000027686234,0.0000142185945,0.00030608903,0.0033499869],"genre_scores_gemma":[0.82094043,0.0011730545,0.1746164,0.00012790253,0.0001441221,0.000118252494,0.000031839885,0.0002604704,0.0025875575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999275,0.00017129563,0.00005267717,0.00015871653,0.00026631475,0.00007601806],"domain_scores_gemma":[0.99769294,0.0014362755,0.0002174598,0.00032133082,0.00028127656,0.000050839837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010146163,0.000874799,0.00046254692,0.00039112198,0.00023795791,0.00091682066,0.00070382317,0.00061936,0.0015074449],"category_scores_gemma":[0.0041336757,0.00028895418,0.00027323305,0.00026874023,0.0006332531,0.0015300529,0.00077413773,0.00089234306,0.0004880546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041203675,0.00019109997,0.0023405796,0.00037253555,0.00010389509,0.00018741752,0.00033236155,0.12228611,0.43591288,0.043782726,0.0008840296,0.39319432],"study_design_scores_gemma":[0.000072915216,0.00048918405,0.0030479433,0.0001050558,0.00008134559,0.0006610604,0.00006817992,0.6366139,0.3201636,0.027574923,0.011020564,0.00010135214],"about_ca_topic_score_codex":0.00014518002,"about_ca_topic_score_gemma":0.00032740322,"teacher_disagreement_score":0.0015074449,"about_ca_system_score_codex":0.00032175603,"about_ca_system_score_gemma":0.0002320315,"threshold_uncertainty_score":0.005365908},"labels":[],"label_agreement":null},{"id":"W2116155182","doi":"10.1109/tvt.2009.2023662","title":"EDR: Efficient Decentralized Revocation Protocol for Vehicular Ad Hoc Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":66,"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 Waterloo","funders":"","keywords":"Revocation list; Revocation; Computer network; Computer science; Vehicular ad hoc network; Scalability; Protocol (science); Wireless ad hoc network; Computer security; Public-key cryptography; Certificate authority; Overhead (engineering); Wireless; Telecommunications","score_opus":0.009583003988835236,"score_gpt":0.2514041828920989,"score_spread":0.24182117890326368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116155182","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021337098,0.00074822403,0.970471,0.00027026611,0.00016882285,0.0003397229,0.00015984925,0.0019707438,0.004534213],"genre_scores_gemma":[0.7368725,0.0008209825,0.24985693,0.0002550837,0.000120067554,0.0005044092,0.00081507844,0.00014422776,0.010610718],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998958,0.0002636123,0.00010301159,0.00016212088,0.0004110655,0.00010218694],"domain_scores_gemma":[0.99935955,0.00012912508,0.00013975379,0.00017510504,0.00014663274,0.00004985371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094429066,0.000356665,0.00067780796,0.0006983205,0.00047340916,0.0005572378,0.001631503,0.00064381724,0.0015728208],"category_scores_gemma":[0.001457204,0.00019246463,0.00035674067,0.00053709076,0.000531578,0.0015420935,0.0019787129,0.0008441081,0.0007062545],"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":[0.0008466587,0.00038371226,0.0016563426,0.0011380333,0.00015510195,0.0016837924,0.00072809163,0.1390928,0.19874191,0.11948924,0.014620413,0.52146393],"study_design_scores_gemma":[0.0006940208,0.0018114554,0.0017327364,0.00012453104,0.00013788826,0.004160735,0.00037446633,0.70633346,0.092844486,0.045259967,0.14622535,0.0003010536],"about_ca_topic_score_codex":0.00041635102,"about_ca_topic_score_gemma":0.00061816996,"teacher_disagreement_score":0.001631503,"about_ca_system_score_codex":0.0004181644,"about_ca_system_score_gemma":0.00080624345,"threshold_uncertainty_score":0.0052616},"labels":[],"label_agreement":null},{"id":"W2116169759","doi":"10.1109/tvt.2009.2031181","title":"A Distributed Consensus-Based Cooperative Spectrum-Sensing Scheme in Cognitive Radios","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":265,"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":"Cognitive radio; Robustness (evolution); False alarm; Scalability; Scheme (mathematics); Computer science; Computer network; Distributed computing; Wireless; Machine learning; Telecommunications; Mathematics","score_opus":0.012557499528841349,"score_gpt":0.2470609620449203,"score_spread":0.23450346251607895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116169759","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":[0.039297793,0.00017733894,0.9575976,0.00010976197,0.00006641451,0.000058449845,0.00002954415,0.00029709053,0.0023658455],"genre_scores_gemma":[0.8737631,0.000107786094,0.124004975,0.00009466407,0.000031011474,0.00012447179,0.000056063505,0.000015517075,0.0018023148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991567,0.00021614613,0.00005107983,0.00023141684,0.00027500308,0.00006958062],"domain_scores_gemma":[0.99919516,0.0002457233,0.0000915005,0.00016352054,0.00024532594,0.00005880567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009102556,0.00043974546,0.00075228355,0.00028334986,0.00052968715,0.00047895627,0.0013369088,0.00078308274,0.0005521199],"category_scores_gemma":[0.0019086048,0.00021786243,0.00041523663,0.00045022907,0.0005270309,0.0009182317,0.0010879723,0.00045708622,0.00018588302],"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":[0.0005976684,0.00028905997,0.0011946786,0.00036590974,0.00017554332,0.00073904736,0.0006041146,0.5436192,0.09396276,0.06910912,0.0035823374,0.2857606],"study_design_scores_gemma":[0.000056711226,0.00021388168,0.00016592625,0.00000704215,0.000023686725,0.0001467193,0.000021806818,0.9839999,0.0053060916,0.0087735765,0.0012611224,0.00002358835],"about_ca_topic_score_codex":0.0008863486,"about_ca_topic_score_gemma":0.0007139682,"teacher_disagreement_score":0.0013369088,"about_ca_system_score_codex":0.0002863442,"about_ca_system_score_gemma":0.00066355977,"threshold_uncertainty_score":0.0048139095},"labels":[],"label_agreement":null},{"id":"W2116182597","doi":"10.1109/tvt.2010.2064796","title":"Location-Aided Gateway Advertisement and Discovery Protocol for VANets","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":23,"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":"Computer science; Correctness; Computer network; Default gateway; Network packet; Gateway (web page); Scalability; Neighbor Discovery Protocol; Wireless ad hoc network; Vehicular ad hoc network; H.248; The Internet; Internetworking; Wireless; Distributed computing; Telecommunications; Internet Protocol; World Wide Web","score_opus":0.008975217380079132,"score_gpt":0.25852084087439975,"score_spread":0.2495456234943206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116182597","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":[0.0076800785,0.0011413783,0.9834299,0.00046773333,0.00030125192,0.0006232431,0.00019704933,0.0014746657,0.0046846434],"genre_scores_gemma":[0.49062136,0.0021294202,0.49096084,0.0006413092,0.00021769606,0.0024444559,0.0018668218,0.00019269179,0.010925273],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987263,0.00043862264,0.00015219767,0.0001529988,0.00041540593,0.000114566996],"domain_scores_gemma":[0.9989492,0.000451531,0.00012973898,0.00015346527,0.00024590027,0.00007026434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013470756,0.00052063784,0.00069072214,0.0014937773,0.00092906534,0.0011335306,0.001635395,0.00093600416,0.0015336382],"category_scores_gemma":[0.003350747,0.000408793,0.00034396714,0.0015059493,0.0008960591,0.0017422255,0.0024659648,0.0015014346,0.0005140998],"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":[0.00064187084,0.00023282297,0.0014467885,0.00065950875,0.00022383172,0.0008686276,0.0009298285,0.22245494,0.04242396,0.27162427,0.02421666,0.43427703],"study_design_scores_gemma":[0.0002521865,0.0005444039,0.00052461127,0.00010042732,0.00014022485,0.0012526354,0.0002629607,0.7917924,0.020815682,0.06439509,0.119749084,0.00017026404],"about_ca_topic_score_codex":0.0016735817,"about_ca_topic_score_gemma":0.0018411076,"teacher_disagreement_score":0.0016735817,"about_ca_system_score_codex":0.0007527192,"about_ca_system_score_gemma":0.0014015877,"threshold_uncertainty_score":0.007124126},"labels":[],"label_agreement":null},{"id":"W2116675986","doi":"10.1109/tvt.2005.844687","title":"Wide-Band High-Efficiency Printed Loop Antenna Design for Wireless Communication Systems","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Omnidirectional antenna; Antenna efficiency; Antenna measurement; Electronic engineering; Coaxial antenna; Loop antenna; Engineering; Radiation pattern; Bandwidth (computing); Electrical engineering; Antenna (radio); Computer science; Telecommunications","score_opus":0.013042422048257068,"score_gpt":0.2153923572727871,"score_spread":0.20234993522453004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116675986","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":[0.03178748,0.0006996138,0.96112007,0.00016431435,0.000100282254,0.00002330893,0.000031644235,0.0010447818,0.005028431],"genre_scores_gemma":[0.65250707,0.0009053967,0.33345866,0.00024466118,0.00028061072,0.00012086884,0.00020153445,0.0001633432,0.012117828],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959,0.00011332811,0.000024070914,0.00007284741,0.00016232433,0.000037530473],"domain_scores_gemma":[0.99965966,0.000070253984,0.000064970096,0.000065022155,0.00011911587,0.000020897325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022424247,0.0004887932,0.00045092017,0.00033910063,0.00012234981,0.00060775294,0.00078178203,0.0007231344,0.0014328784],"category_scores_gemma":[0.00049816107,0.00022642832,0.0004039607,0.00053181575,0.00021458328,0.0006777992,0.0003326734,0.00035840608,0.0013782949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045945228,0.00010031839,0.00093781686,0.00039748574,0.00018411895,0.0005020667,0.00012294583,0.03820563,0.6573009,0.013089349,0.0046887533,0.28401124],"study_design_scores_gemma":[0.00018349806,0.0014100488,0.0021764287,0.00004065976,0.00018025066,0.0036048635,0.00006708189,0.4127688,0.50829995,0.0063113263,0.06485457,0.00010247904],"about_ca_topic_score_codex":0.000057178484,"about_ca_topic_score_gemma":0.00006184156,"teacher_disagreement_score":0.0014328784,"about_ca_system_score_codex":0.00023280333,"about_ca_system_score_gemma":0.0001273618,"threshold_uncertainty_score":0.0047934055},"labels":[],"label_agreement":null},{"id":"W2116749379","doi":"10.1109/tvt.2009.2027712","title":"Channel Sensing-Order Setting in Cognitive Radio Networks: A Two-User Case","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cognitive radio; Computer science; Computational complexity theory; Channel (broadcasting); Modulation (music); Point (geometry); Optimal stopping; Algorithm; Greedy algorithm; Mathematical optimization; Wireless; Computer network; Mathematics; Telecommunications","score_opus":0.009302602153094159,"score_gpt":0.24388819568651937,"score_spread":0.2345855935334252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116749379","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":[0.26880655,0.00061521726,0.7215722,0.0012572175,0.00010667785,0.00018501247,0.00009117169,0.00015659902,0.007209362],"genre_scores_gemma":[0.97315276,0.0001875568,0.025254397,0.00008647362,0.00006033562,0.000057993773,0.000022271424,0.000016445616,0.0011617653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99437547,0.0024556902,0.00023191157,0.00068259984,0.0012114606,0.0010429275],"domain_scores_gemma":[0.96641046,0.026483158,0.0024798648,0.0016007882,0.0017503427,0.0012753697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058796275,0.0012965014,0.0020378763,0.0009979621,0.0014262192,0.0028131842,0.0018710518,0.0027964516,0.0013502892],"category_scores_gemma":[0.031335957,0.0008670684,0.0009239361,0.0011771893,0.0050964784,0.0035494284,0.0025771128,0.0026874384,0.00019624493],"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":[0.0008819312,0.00028079245,0.004188061,0.00024104613,0.00012386746,0.0030331677,0.0007446733,0.7613314,0.00487489,0.20499799,0.0009665935,0.01833563],"study_design_scores_gemma":[0.00009687752,0.00009969761,0.0004335981,0.000011968488,0.00002164941,0.00035020843,0.00009065718,0.9599529,0.0009525409,0.03771471,0.00022469494,0.000050497554],"about_ca_topic_score_codex":0.002858897,"about_ca_topic_score_gemma":0.0017613868,"teacher_disagreement_score":0.0058796275,"about_ca_system_score_codex":0.0016795956,"about_ca_system_score_gemma":0.0013135988,"threshold_uncertainty_score":0.03109479},"labels":[],"label_agreement":null},{"id":"W2117402898","doi":"10.1109/tvt.2009.2039505","title":"Performance Analysis of Joint Transmit and Receive Antenna Selection With Orthogonal Space-Time Coding","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nakagami distribution; MIMO; Bit error rate; Fading; Joint (building); Antenna (radio); Algorithm; Selection (genetic algorithm); Computer science; Coding gain; Signal-to-noise ratio (imaging); Electronic engineering; Block code; Coding (social sciences); Mathematics; Telecommunications; Control theory (sociology); Statistics; Decoding methods; Engineering; Beamforming","score_opus":0.005546817989364354,"score_gpt":0.20057884667084194,"score_spread":0.1950320286814776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117402898","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":[0.27178854,0.0028788624,0.7110422,0.00051936833,0.000076351076,0.000055541874,0.0001773652,0.00048352126,0.012978216],"genre_scores_gemma":[0.98856944,0.0005107191,0.00991213,0.000038686616,0.000030926865,0.000023942364,0.000047093705,0.000025805148,0.0008412665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974738,0.0011400293,0.00006291563,0.00018503821,0.0007444932,0.00039370678],"domain_scores_gemma":[0.9933617,0.0045252093,0.0005812504,0.00039213046,0.0010335302,0.000106176994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023745797,0.001194069,0.0010445088,0.00061222806,0.00036404442,0.0009773839,0.0005268056,0.0006924697,0.0011443055],"category_scores_gemma":[0.008845544,0.00032074077,0.00049092545,0.0010365923,0.0009161299,0.0011335938,0.0010140568,0.0004886376,0.00033098285],"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":[0.00037344583,0.000025135396,0.0019999896,0.00008843804,0.00009421968,0.00013299489,0.00008079738,0.9489639,0.010399551,0.014742114,0.0004554769,0.022644026],"study_design_scores_gemma":[0.0000075987123,0.00011338792,0.0005923906,0.000008877943,0.000028041963,0.000096515534,0.000019686398,0.9944728,0.0025860236,0.0018845992,0.00017714228,0.00001279075],"about_ca_topic_score_codex":0.002709053,"about_ca_topic_score_gemma":0.0019493697,"teacher_disagreement_score":0.002709053,"about_ca_system_score_codex":0.0009732558,"about_ca_system_score_gemma":0.0012904026,"threshold_uncertainty_score":0.012558103},"labels":[],"label_agreement":null},{"id":"W2117518715","doi":"10.1109/tvt.2009.2028430","title":"Subchannel Power-Loading Schemes in Multiuser OFDM Systems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Scheme (mathematics); Power (physics); Multiplexing; Resource allocation; Electronic engineering; Max-min fairness; Algorithm; Computer network; Mathematics; Telecommunications; Engineering; Channel (broadcasting)","score_opus":0.005569981757099179,"score_gpt":0.20527513795590202,"score_spread":0.19970515619880283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117518715","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":[0.14964889,0.0009470357,0.8400854,0.0002482469,0.0000457976,0.00010643833,0.000080860504,0.0005013717,0.008335973],"genre_scores_gemma":[0.92813414,0.00037012022,0.07001741,0.00007223491,0.000028801232,0.00010741887,0.00004500026,0.000031407366,0.0011934667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886,0.00054135034,0.00006576829,0.00008724199,0.00030910186,0.00013660191],"domain_scores_gemma":[0.99736756,0.0015969637,0.00020767581,0.0004596548,0.00027931365,0.00008885247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012145494,0.00086899765,0.0006026846,0.00045716623,0.00048493248,0.0010989001,0.0007877977,0.00055408495,0.0019825536],"category_scores_gemma":[0.0051079635,0.0003149309,0.00020448586,0.00062852725,0.0011241185,0.0012762558,0.0011474595,0.0006742278,0.00057761616],"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":[0.0009192411,0.00023102578,0.0014068943,0.00029353055,0.000048646543,0.00035001186,0.0003923352,0.53047156,0.05274229,0.11612146,0.0015263518,0.2954967],"study_design_scores_gemma":[0.000041629184,0.00014821113,0.00028999767,0.000028092276,0.00000974681,0.0001367174,0.00003883002,0.9592815,0.016319266,0.022833826,0.0008411428,0.00003098357],"about_ca_topic_score_codex":0.00043903905,"about_ca_topic_score_gemma":0.0005136979,"teacher_disagreement_score":0.0019825536,"about_ca_system_score_codex":0.00051834894,"about_ca_system_score_gemma":0.00042140615,"threshold_uncertainty_score":0.0066322684},"labels":[],"label_agreement":null},{"id":"W2117869829","doi":"10.1109/tvt.2010.2041563","title":"On Conversion of Hybrid Electric Vehicles to Plug-In","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":65,"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 Manitoba","funders":"","keywords":"Automotive engineering; Powertrain; Battery (electricity); Energy management; Internal combustion engine; State of charge; Engineering; Electric vehicle; Regenerative brake; Controller (irrigation); Battery pack; Power (physics); Energy (signal processing); Torque; Brake","score_opus":0.0043128068349924465,"score_gpt":0.1971546730365321,"score_spread":0.19284186620153967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117869829","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":[0.8325157,0.0009918907,0.122920536,0.00024199333,0.00015246397,0.000109175155,0.00015063713,0.00066539255,0.042252168],"genre_scores_gemma":[0.99368036,0.00028183594,0.0029963164,0.000026478116,0.0000048910692,0.00001620249,0.000045232435,0.000012401194,0.0029362612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998957,0.000029626786,0.0000030634521,0.0000121856465,0.00004472918,0.000014690498],"domain_scores_gemma":[0.9998987,0.000049648243,0.00001042249,0.0000143315665,0.000024014342,0.0000029911266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012179051,0.0003229404,0.00027051553,0.00013912478,0.00018288239,0.00036860458,0.00036294074,0.00021581171,0.00185789],"category_scores_gemma":[0.00039578037,0.0001221478,0.00020116905,0.00010788298,0.00023952626,0.0005289259,0.00023059663,0.0002551813,0.00023653443],"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":[0.0008098509,0.0004172858,0.0032408806,0.0005411576,0.000082274186,0.00081370515,0.0002285065,0.7278185,0.10275135,0.0170061,0.0013184475,0.14497203],"study_design_scores_gemma":[0.000051751296,0.00063555856,0.002762617,0.000028132428,0.00003907477,0.0002573206,0.00014797394,0.90572506,0.07392837,0.008488622,0.00791799,0.000017547849],"about_ca_topic_score_codex":0.003098103,"about_ca_topic_score_gemma":0.002106545,"teacher_disagreement_score":0.003098103,"about_ca_system_score_codex":0.00022860299,"about_ca_system_score_gemma":0.00011541199,"threshold_uncertainty_score":0.0062152147},"labels":[],"label_agreement":null},{"id":"W2118079504","doi":"10.1109/tvt.2006.883782","title":"Transmitter Precoding for ICI Reduction in Closed-Loop MIMO OFDM Systems","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Orthogonal frequency-division multiplexing; Precoding; MIMO; Transmitter; MIMO-OFDM; Control theory (sociology); Reduction (mathematics); Bit error rate; Block code; Multiplexing; Computer science; Electronic engineering; Mathematics; Telecommunications; Engineering; Decoding methods; Beamforming; Channel (broadcasting)","score_opus":0.013775757475226996,"score_gpt":0.25615160762675765,"score_spread":0.24237585015153065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118079504","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":[0.025727894,0.00058813347,0.9673053,0.00018429896,0.00010214566,0.00003276065,0.000054199663,0.00041251926,0.0055927327],"genre_scores_gemma":[0.69994116,0.0011469872,0.28883573,0.00025082816,0.00022207707,0.000063995045,0.00017548821,0.000068217676,0.00929552],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998084,0.00005468099,0.000011636416,0.000028063252,0.00008282277,0.000014334332],"domain_scores_gemma":[0.9997483,0.000107979955,0.00003011052,0.000032574782,0.000075280856,0.0000057258176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014588414,0.00035965742,0.0002855898,0.00017215149,0.00025973236,0.0005186833,0.00024323286,0.0003112487,0.002058344],"category_scores_gemma":[0.0008947981,0.00016552441,0.00014486557,0.00031486605,0.0002533655,0.00033625276,0.00023034961,0.00035547826,0.0005729724],"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":[0.0005814169,0.00015463788,0.0010990332,0.00036955765,0.00012121876,0.0003395624,0.0003961169,0.2034495,0.22930142,0.037184197,0.007197896,0.51980555],"study_design_scores_gemma":[0.000047254838,0.00037684094,0.0012451113,0.00003405057,0.00005506251,0.00038089196,0.00004413541,0.89328253,0.08759029,0.0048722774,0.012046927,0.000024596888],"about_ca_topic_score_codex":0.0006754552,"about_ca_topic_score_gemma":0.0014231713,"teacher_disagreement_score":0.002058344,"about_ca_system_score_codex":0.0002528464,"about_ca_system_score_gemma":0.00034925144,"threshold_uncertainty_score":0.006885886},"labels":[],"label_agreement":null},{"id":"W2118254212","doi":"10.1109/tvt.2011.2165570","title":"Average Rate Maximization in Relay Networks Over Slow Fading Channels","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Relay; Maximization; Constraint (computer-aided design); Channel (broadcasting); Mathematical optimization; Transmission (telecommunications); Computer science; Power (physics); Optimization problem; Electronic engineering; Mathematics; Telecommunications; Engineering; Physics","score_opus":0.02694296364994075,"score_gpt":0.23640225725446717,"score_spread":0.20945929360452642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118254212","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":[0.03316945,0.0019778667,0.9610399,0.00026466366,0.00003933251,0.000027981883,0.0001079039,0.00020612143,0.0031667075],"genre_scores_gemma":[0.87094617,0.0034808,0.12100955,0.000096124924,0.00015175233,0.00015201754,0.00019876807,0.00017639222,0.0037882193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893564,0.0005550623,0.000041660332,0.00015985886,0.00017253771,0.00013520058],"domain_scores_gemma":[0.9978282,0.0016224283,0.00019463105,0.00008147111,0.00021615083,0.000057135592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020382293,0.0016538193,0.0017303878,0.0007039966,0.0004423886,0.0014761954,0.0009941999,0.0009903192,0.0013572223],"category_scores_gemma":[0.0039837286,0.0006616136,0.000571739,0.0016275893,0.0010541581,0.0018934528,0.00090457994,0.00089020806,0.0005098503],"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":[0.00007300758,0.000012726865,0.00013530847,0.00011356797,0.00003436408,0.00008868349,0.00005928861,0.9659058,0.0023988197,0.017875776,0.0006807223,0.012621895],"study_design_scores_gemma":[0.000016089834,0.0000366455,0.00007357599,0.000008141072,0.000011740094,0.00003379353,0.000019215735,0.9820473,0.00095794274,0.016328733,0.00045804802,0.000008753542],"about_ca_topic_score_codex":0.0026552055,"about_ca_topic_score_gemma":0.0014069465,"teacher_disagreement_score":0.0026552055,"about_ca_system_score_codex":0.0012296014,"about_ca_system_score_gemma":0.0009307528,"threshold_uncertainty_score":0.010779321},"labels":[],"label_agreement":null},{"id":"W2119322252","doi":"10.1109/tvt.2005.844634","title":"MRC and GSC Diversity Combining With an Output Threshold","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":87,"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 Victoria","funders":"","keywords":"Fading; Diversity combining; Maximal-ratio combining; Power consumption; Computer science; Power (physics); Selection (genetic algorithm); Wireless; Performance improvement; Diversity gain; Diversity (politics); Outage probability; Energy consumption; Electronic engineering; Diversity scheme; Algorithm; Telecommunications; Engineering; Electrical engineering; Artificial intelligence; Decoding methods","score_opus":0.012587876854075551,"score_gpt":0.22109891121921366,"score_spread":0.2085110343651381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119322252","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":[0.24645057,0.002194235,0.7316553,0.00043711587,0.0000769938,0.00010130252,0.0001412984,0.00044038816,0.018502776],"genre_scores_gemma":[0.9390045,0.0005181539,0.058546204,0.000090343645,0.00005234012,0.0000446889,0.00006540906,0.000021021928,0.001657189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911195,0.0002451357,0.00005231605,0.00011498466,0.0003785337,0.00009711375],"domain_scores_gemma":[0.99901724,0.00038788698,0.00020926273,0.00020552662,0.00015127695,0.000028804194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008602471,0.0007663443,0.0005362381,0.00034849826,0.00021587963,0.00075539446,0.00058736687,0.00064167875,0.0010847191],"category_scores_gemma":[0.002301056,0.00020608265,0.00042525172,0.00087176927,0.0009841486,0.0008901478,0.0007443946,0.00045612847,0.00035113553],"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":[0.000929387,0.000106676496,0.003989697,0.00048727685,0.0002912489,0.00071981235,0.00025895456,0.4815189,0.21798506,0.13024114,0.0010928054,0.16237903],"study_design_scores_gemma":[0.00012938317,0.0012530499,0.0027669373,0.00006531233,0.00021679512,0.0015055941,0.00010473703,0.8226968,0.11749996,0.0448185,0.008873477,0.000069435686],"about_ca_topic_score_codex":0.00026343716,"about_ca_topic_score_gemma":0.00029565394,"teacher_disagreement_score":0.0010847191,"about_ca_system_score_codex":0.0005281143,"about_ca_system_score_gemma":0.00032000343,"threshold_uncertainty_score":0.0045494437},"labels":[],"label_agreement":null},{"id":"W2119896749","doi":"10.1109/tvt.2004.841557","title":"Quantizer Design for Channel Codes With Soft-Output Decoding","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Data Compression Techniques","field":"Computer Science","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":"University of Waterloo","funders":"University of Waterloo","keywords":"Decoding methods; Gaussian; Algorithm; Channel (broadcasting); Quantization (signal processing); Computer science; Source code; Distortion (music); Turbo code; Electronic engineering; Engineering; Telecommunications; Bandwidth (computing); Physics; Amplifier","score_opus":0.0303894990355147,"score_gpt":0.2747929541998762,"score_spread":0.24440345516436152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119896749","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009339739,0.00029796673,0.9886058,0.00008569395,0.00004162945,0.00004908143,0.000042812768,0.00023100965,0.0013062513],"genre_scores_gemma":[0.48564783,0.00046476317,0.5100939,0.00011667749,0.00007742257,0.00019650093,0.00012019034,0.0000667791,0.0032159023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936885,0.00013480769,0.000033479857,0.0000657846,0.00035658522,0.000040589875],"domain_scores_gemma":[0.99909973,0.0003893608,0.000097467455,0.00008506689,0.0003035108,0.000024984802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065174914,0.0004163615,0.0004041876,0.0004355957,0.0002774148,0.0007041519,0.0006426748,0.000549359,0.0021726484],"category_scores_gemma":[0.001974915,0.00022031543,0.00014640979,0.00046093794,0.00051387935,0.00089119386,0.00061521115,0.0006807208,0.0005296385],"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":[0.0005087317,0.00008002126,0.0008541195,0.00050580536,0.000077335906,0.00022360426,0.000253931,0.3843947,0.16775839,0.14960109,0.0032061755,0.29253602],"study_design_scores_gemma":[0.000051253,0.00011215683,0.00015911157,0.000028745804,0.000015746024,0.0001287617,0.000020247277,0.9371252,0.047200803,0.011200633,0.003927525,0.000029838613],"about_ca_topic_score_codex":0.00086518837,"about_ca_topic_score_gemma":0.0018468474,"teacher_disagreement_score":0.0021726484,"about_ca_system_score_codex":0.0006530001,"about_ca_system_score_gemma":0.0008043376,"threshold_uncertainty_score":0.00726825},"labels":[],"label_agreement":null},{"id":"W2121310563","doi":"10.1109/tvt.2008.919616","title":"Comparison of Frequency Offset and Timing Offset Effects on the Performance of SC-FDE and OFDM Over UWB Channels","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":44,"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 Victoria","funders":"","keywords":"Carrier frequency offset; Orthogonal frequency-division multiplexing; Jitter; Frequency offset; SC-FDE; Offset (computer science); Bit error rate; Electronic engineering; Computer science; Intersymbol interference; Telecommunications; Engineering; Decoding methods; Channel (broadcasting)","score_opus":0.012918197798725654,"score_gpt":0.26326037540715796,"score_spread":0.2503421776084323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121310563","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":[0.950828,0.0009954736,0.045862116,0.00008851033,0.000043644057,0.000012573648,0.000034245702,0.00012767679,0.0020077396],"genre_scores_gemma":[0.9933616,0.0003018753,0.006032936,0.000017310584,0.000011382467,0.0000047333483,0.000027033422,0.000010702714,0.00023243329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994636,0.00012626644,0.00002913468,0.000051399365,0.00021158055,0.00011791166],"domain_scores_gemma":[0.99449676,0.0043524285,0.00033327652,0.00025753296,0.0005085608,0.00005142153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086373166,0.00033398106,0.0004095979,0.00037899127,0.00022962248,0.00037221343,0.00021309814,0.00056939805,0.00060250226],"category_scores_gemma":[0.006029789,0.00012992337,0.00017967285,0.000409979,0.000395096,0.00060060504,0.0002449074,0.0003326766,0.00011644736],"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":[0.0043920623,0.00022580927,0.024199659,0.00076196855,0.0002956285,0.0014778931,0.00039075958,0.40968466,0.38991728,0.0046876147,0.0003358127,0.16363084],"study_design_scores_gemma":[0.00014113552,0.0026785985,0.028741019,0.000081315964,0.00027499878,0.0022306268,0.00028499475,0.5381331,0.4236696,0.0017765369,0.0018713323,0.000116698335],"about_ca_topic_score_codex":0.0006007319,"about_ca_topic_score_gemma":0.0005560001,"teacher_disagreement_score":0.00086373166,"about_ca_system_score_codex":0.00025230818,"about_ca_system_score_gemma":0.00025744323,"threshold_uncertainty_score":0.004567921},"labels":[],"label_agreement":null},{"id":"W2121384620","doi":"10.1109/tvt.2008.925304","title":"A Novel Anonymous Mutual Authentication Protocol With Provable Link-Layer Location Privacy","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":53,"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 Waterloo","funders":"","keywords":"Computer science; Mutual authentication; Computer network; Authentication (law); Provable security; Authentication protocol; Computer security; Protocol (science); Scheme (mathematics); Message authentication code; Cryptography; Encryption; Mathematics","score_opus":0.015621108534419692,"score_gpt":0.2788977616710661,"score_spread":0.26327665313664644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121384620","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014801008,0.00035262114,0.9789893,0.000379726,0.00019284473,0.00018638677,0.00008184192,0.00063192047,0.004384365],"genre_scores_gemma":[0.72633094,0.00075561425,0.25663114,0.00042511936,0.00032886572,0.00066405686,0.0003019245,0.00007958976,0.014482829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973712,0.0008052518,0.00026563325,0.00038502936,0.00086423213,0.00030861673],"domain_scores_gemma":[0.99801385,0.0005719374,0.00035438445,0.00047376222,0.00046236362,0.00012367021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002122746,0.000577661,0.00086172874,0.00069419766,0.0016296206,0.0015457511,0.0021815007,0.0015656301,0.0021291452],"category_scores_gemma":[0.003167853,0.00040349577,0.0008235399,0.0010540803,0.001310823,0.0051016454,0.003863211,0.0016531612,0.0008749799],"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":[0.0010359543,0.00028427652,0.0009714495,0.0007116236,0.00019140635,0.001702901,0.0016876423,0.05668263,0.082917124,0.64561504,0.012655533,0.19554442],"study_design_scores_gemma":[0.00030080954,0.00087250734,0.00050085154,0.00007362199,0.00027213714,0.0035507514,0.000384669,0.7481997,0.043408453,0.13229854,0.0698279,0.00030995393],"about_ca_topic_score_codex":0.0005158406,"about_ca_topic_score_gemma":0.00042952466,"teacher_disagreement_score":0.0021815007,"about_ca_system_score_codex":0.0007127268,"about_ca_system_score_gemma":0.001725254,"threshold_uncertainty_score":0.011226296},"labels":[],"label_agreement":null},{"id":"W2121578930","doi":"10.1109/tvt.2008.927033","title":"A Convolutional-Based Distributed Coded Cooperation Scheme for Relay Channels","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":65,"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","funders":"","keywords":"Relay; Code word; Computer science; Algorithm; Convolutional code; Decoding methods; Node (physics); Redundancy (engineering); Theoretical computer science; Topology (electrical circuits); Mathematics; Engineering","score_opus":0.02440895322594596,"score_gpt":0.26984249871784827,"score_spread":0.2454335454919023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121578930","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06637439,0.0007391479,0.92351174,0.00026310026,0.00009120475,0.00012700308,0.0001451954,0.0002506494,0.008497614],"genre_scores_gemma":[0.9363774,0.00029050815,0.059889697,0.00008059768,0.0000249943,0.00007525423,0.000058982216,0.000010177669,0.003192311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993357,0.00018125975,0.000024450284,0.0001248973,0.00020772616,0.0001259016],"domain_scores_gemma":[0.9991007,0.00035630123,0.00010511403,0.00015670492,0.00023323836,0.000047987407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095663744,0.0008224209,0.00054942555,0.0004033404,0.0005500168,0.0008440217,0.0014538364,0.0010472614,0.0012427322],"category_scores_gemma":[0.001599657,0.00020145543,0.00042247667,0.0007938282,0.00089705124,0.00088552263,0.0008353605,0.00061393925,0.0002552543],"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":[0.000247874,0.00009372012,0.0005549459,0.00020112022,0.000068773006,0.0004917412,0.00018026648,0.777765,0.019625193,0.15448135,0.0017517593,0.04453829],"study_design_scores_gemma":[0.000020314908,0.00007779446,0.00008632638,0.000010213467,0.000021240176,0.00011611666,0.000011360311,0.98925763,0.0026638,0.0066713393,0.0010463194,0.000017639819],"about_ca_topic_score_codex":0.003854331,"about_ca_topic_score_gemma":0.0051196353,"teacher_disagreement_score":0.003854331,"about_ca_system_score_codex":0.0018101172,"about_ca_system_score_gemma":0.001695658,"threshold_uncertainty_score":0.013133407},"labels":[],"label_agreement":null},{"id":"W2121756138","doi":"10.1109/tvt.2010.2103098","title":"Distributed Combined Authentication and Intrusion Detection With Data Fusion in High-Security Mobile Ad Hoc Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Carleton University","funders":"","keywords":"Intrusion detection system; Computer science; Authentication (law); Biometrics; Sensor fusion; Mobile ad hoc network; Wireless ad hoc network; Mobile device; Computer network; Computer security; Artificial intelligence; Wireless; Telecommunications","score_opus":0.015165333983381433,"score_gpt":0.2194709862193239,"score_spread":0.20430565223594246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121756138","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05588744,0.00120865,0.94130534,0.00021208229,0.00006899449,0.00005876734,0.000008770092,0.00026971506,0.0009802999],"genre_scores_gemma":[0.92473686,0.00046883203,0.07358371,0.00006367021,0.000062976105,0.00006202896,0.000019270326,0.000008402621,0.0009943724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974769,0.0010800121,0.00012669085,0.00032318616,0.0008227276,0.00017050117],"domain_scores_gemma":[0.99857664,0.00069345225,0.00015976606,0.00019273927,0.00032773864,0.00004971124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023141715,0.00066208007,0.0011642654,0.00063205103,0.0006427189,0.0009743891,0.0011389903,0.0011193634,0.00044829553],"category_scores_gemma":[0.0025971532,0.00034414904,0.0005884254,0.0007775683,0.0009391064,0.0024381508,0.0014735212,0.0007845415,0.00017836023],"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":[0.0010794286,0.00033529254,0.0032222683,0.00025353453,0.0003255493,0.00055196474,0.00048154997,0.57697076,0.052098043,0.018143043,0.0011677658,0.34537083],"study_design_scores_gemma":[0.000024690307,0.00026688783,0.0005334151,0.000009408134,0.000039573548,0.00016086827,0.00005298259,0.9813586,0.011810222,0.0050394027,0.00068277394,0.000021216927],"about_ca_topic_score_codex":0.0009713674,"about_ca_topic_score_gemma":0.00080118753,"teacher_disagreement_score":0.0023141715,"about_ca_system_score_codex":0.00074664067,"about_ca_system_score_gemma":0.00046414603,"threshold_uncertainty_score":0.012238622},"labels":[],"label_agreement":null},{"id":"W2121921168","doi":"10.1109/tvt.2007.907029","title":"A Fast Subcarrier, Bit, and Power Allocation Algorithm for Multiuser OFDM-Based Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Subcarrier; Orthogonal frequency-division multiplexing; Bit error rate; Computer science; Transmitter power output; Telecommunications link; Algorithm; Base station; Transmission (telecommunications); Electronic engineering; Power (physics); Channel (broadcasting); Computational complexity theory; Real-time computing; Telecommunications; Engineering; Transmitter","score_opus":0.006905822380963327,"score_gpt":0.19972242067354487,"score_spread":0.19281659829258155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121921168","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007110109,0.0001465466,0.9917836,0.00006155669,0.000029294257,0.000021228228,0.000008495831,0.000121001925,0.00071810785],"genre_scores_gemma":[0.25134084,0.00028863846,0.74581474,0.00008881076,0.000048656577,0.0001087716,0.000045898116,0.000041568113,0.0022221364],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997372,0.00008341333,0.000018226576,0.000041783802,0.00009268771,0.000026653384],"domain_scores_gemma":[0.9996612,0.00014258012,0.00003759649,0.00005082537,0.000092429116,0.000015341471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049527857,0.00043248138,0.0006039307,0.00027465072,0.00041266906,0.0004967644,0.00051594095,0.0005132454,0.0012185175],"category_scores_gemma":[0.0011678815,0.00024020113,0.00020585583,0.00046414204,0.00039776784,0.0010699292,0.000436199,0.0006489442,0.00047130848],"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":[0.00020024074,0.00009676493,0.00060495676,0.00012408828,0.000041246345,0.00011341658,0.000114801216,0.44427878,0.022989254,0.037030365,0.0028799518,0.49152613],"study_design_scores_gemma":[0.000021500042,0.000049797814,0.00009045902,0.0000041358853,0.0000037864763,0.000082827595,0.000008213001,0.99156624,0.0027305644,0.0034448316,0.0019881255,0.000009414008],"about_ca_topic_score_codex":0.0009246348,"about_ca_topic_score_gemma":0.0012174526,"teacher_disagreement_score":0.0012185175,"about_ca_system_score_codex":0.00038850176,"about_ca_system_score_gemma":0.000856948,"threshold_uncertainty_score":0.0040763617},"labels":[],"label_agreement":null},{"id":"W2122480671","doi":"10.1109/tvt.2006.889566","title":"A Propagation-Measurement-Based Evaluation of Channel Characteristics and Models Pertinent to the Expansion of Mobile Radio Systems to Frequencies Beyond 2 GHz","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"Technische Universiteit Eindhoven","keywords":"Fading; Channel (broadcasting); Electronic engineering; Wireless; Radio spectrum; Envelope (radar); Radio frequency; Mobile radio; Radio propagation; Transmission (telecommunications); Delay spread; Telecommunications; Computer science; Engineering; Electrical engineering","score_opus":0.01890137858595655,"score_gpt":0.24103232693850812,"score_spread":0.22213094835255157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122480671","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":[0.8388234,0.00023219213,0.15432842,0.00018616072,0.00003878544,0.00012877095,0.0006489463,0.0006446387,0.0049686665],"genre_scores_gemma":[0.98681927,0.00011293799,0.012310642,0.000012836928,0.000011315289,0.000039440944,0.00029126604,0.000016950498,0.00038540654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993716,0.00034604265,0.000021506497,0.00005495733,0.00015370536,0.000052238247],"domain_scores_gemma":[0.99780875,0.0015210847,0.00024405956,0.00017789658,0.00021398792,0.00003422925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012617998,0.0005612318,0.00025061794,0.00070601294,0.0003001178,0.00055833784,0.0003303341,0.0006601797,0.0005561477],"category_scores_gemma":[0.0037559257,0.000180453,0.00033379835,0.00083807367,0.000313906,0.00061409606,0.00034308096,0.0003038412,0.00014469092],"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":[0.00034377523,0.00023155619,0.018525502,0.00011647863,0.000060566148,0.000187289,0.0001013132,0.92994624,0.018577995,0.0029717535,0.00078797416,0.028149638],"study_design_scores_gemma":[0.000009561157,0.00024170837,0.008512405,0.000006162629,0.000018928218,0.00009449149,0.00005013205,0.9819688,0.008404039,0.0002497171,0.00042522082,0.000018847379],"about_ca_topic_score_codex":0.006401492,"about_ca_topic_score_gemma":0.007421871,"teacher_disagreement_score":0.006401492,"about_ca_system_score_codex":0.00068784197,"about_ca_system_score_gemma":0.0004766881,"threshold_uncertainty_score":0.012728453},"labels":[],"label_agreement":null},{"id":"W2122812757","doi":"10.1109/tvt.2009.2036631","title":"Adaptive Sensing Technique to Maximize Spectrum Utilization in Cognitive Radio","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":53,"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 Manitoba","funders":"","keywords":"Cognitive radio; Channel (broadcasting); Computer science; Scheme (mathematics); Exploit; Spectrum (functional analysis); SIGNAL (programming language); Electronic engineering; Real-time computing; Radio spectrum; Detection theory; Computer network; Telecommunications; Wireless; Engineering; Detector; Mathematics; Physics; Computer security","score_opus":0.02206742684503187,"score_gpt":0.25671248298088156,"score_spread":0.23464505613584968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122812757","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":[0.049694724,0.0011141035,0.9441701,0.00016583219,0.00010315823,0.00004961713,0.000017797025,0.0003445189,0.0043400824],"genre_scores_gemma":[0.9214688,0.00034221695,0.076916166,0.000103698585,0.00006756283,0.000053180993,0.000014937432,0.000016432554,0.0010169958],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996413,0.000085869106,0.00001773091,0.00008194829,0.00013090129,0.000042266918],"domain_scores_gemma":[0.99960214,0.0002119508,0.00005040484,0.000038522357,0.00007735434,0.000019648407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040509098,0.0004014378,0.00038550145,0.00039568832,0.00030926574,0.0003562304,0.0007573171,0.0004489554,0.0005557842],"category_scores_gemma":[0.0011701355,0.00018279575,0.00022389404,0.0004249474,0.00038884173,0.0005180185,0.00046669744,0.00032517037,0.00012558085],"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":[0.0006328467,0.0002963647,0.0016022547,0.00030141987,0.00014890816,0.00067995954,0.00040852293,0.27102336,0.25733507,0.0414788,0.0038365414,0.42225593],"study_design_scores_gemma":[0.000048107944,0.00025680423,0.0005548995,0.00001922906,0.00004396206,0.0004045727,0.00004082113,0.9668912,0.02078958,0.008359637,0.0025603515,0.000030835923],"about_ca_topic_score_codex":0.0007691852,"about_ca_topic_score_gemma":0.0011053418,"teacher_disagreement_score":0.0007691852,"about_ca_system_score_codex":0.00026872178,"about_ca_system_score_gemma":0.0004037336,"threshold_uncertainty_score":0.0021423101},"labels":[],"label_agreement":null},{"id":"W2124335021","doi":"10.1109/tvt.2004.841539","title":"Performance of Predistorted APK Modulation for One- and Two-Link Nonlinear Power Amplifier Satellite Communication Channels","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Queen's University","funders":"","keywords":"Predistortion; Phase-shift keying; Quadrature amplitude modulation; Amplifier; Communications satellite; Electronic engineering; Linear amplifier; Amplitude and phase-shift keying; Pulse-amplitude modulation; Modulation (music); Electrical engineering; Physics; Control theory (sociology); Bit error rate; Engineering; Computer science; RF power amplifier; Channel (broadcasting); Satellite; Pulse (music); Acoustics; CMOS; Voltage","score_opus":0.013146999141179115,"score_gpt":0.2332198495797745,"score_spread":0.2200728504385954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124335021","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":[0.9753014,0.0007088538,0.01840893,0.00012697987,0.0000309918,0.000026567128,0.0001584635,0.0004878869,0.0047498494],"genre_scores_gemma":[0.9966388,0.00016681611,0.002261276,0.00001273994,0.0000108607255,0.000009753799,0.00009602786,0.000018215163,0.00078561134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882454,0.00028821267,0.00005463583,0.000111962276,0.00045021335,0.00027039798],"domain_scores_gemma":[0.9944524,0.0035398079,0.00047349322,0.00044423025,0.00096224336,0.00012785262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008586649,0.0008098087,0.00065033196,0.0007390787,0.00062047347,0.0006836613,0.0004973483,0.00084159395,0.0033480872],"category_scores_gemma":[0.004188242,0.00020294767,0.00030726902,0.0007153606,0.000769931,0.0007606018,0.0006935334,0.00067048724,0.0008683615],"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":[0.009919693,0.00043158393,0.019444935,0.00084450084,0.00031581256,0.0010449379,0.0013960315,0.51243097,0.31219634,0.005873013,0.0013958544,0.13470623],"study_design_scores_gemma":[0.00017571662,0.0025467712,0.015782516,0.00008353814,0.00014415153,0.0009195902,0.00030929843,0.6129942,0.36412582,0.0014247145,0.0013183674,0.00017531407],"about_ca_topic_score_codex":0.0021901398,"about_ca_topic_score_gemma":0.0015095428,"teacher_disagreement_score":0.0033480872,"about_ca_system_score_codex":0.0006112558,"about_ca_system_score_gemma":0.00045159916,"threshold_uncertainty_score":0.011200428},"labels":[],"label_agreement":null},{"id":"W2124687832","doi":"10.1109/tvt.2011.2145424","title":"Channel Equalization for Multi-Antenna FBMC/OQAM Receivers","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":125,"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":"","keywords":"Subcarrier; Orthogonal frequency-division multiplexing; Equalization (audio); MIMO; Computer science; Filter bank; Electronic engineering; Finite impulse response; Quadrature amplitude modulation; Control theory (sociology); Channel (broadcasting); Bit error rate; Algorithm; Telecommunications; Engineering","score_opus":0.054095701774992164,"score_gpt":0.25480236340616746,"score_spread":0.2007066616311753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124687832","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":[0.043406237,0.0004080665,0.95390886,0.000100014535,0.000045449513,0.000015850743,0.000022221204,0.00020634868,0.0018870197],"genre_scores_gemma":[0.655527,0.00056098396,0.33954462,0.00007677566,0.00006340897,0.000025812968,0.00007393688,0.000033559452,0.004093938],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998228,0.000039936665,0.000005901207,0.000025486104,0.00007863558,0.000027174769],"domain_scores_gemma":[0.9997141,0.00016592801,0.00002907752,0.00003867274,0.000045802724,0.0000064210144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027686337,0.00024845716,0.00026336886,0.00015334993,0.00021506072,0.00035464388,0.00023070857,0.0003563017,0.0015837272],"category_scores_gemma":[0.0008080108,0.00011405178,0.00015451771,0.00017149352,0.00025375906,0.00040925737,0.00022632515,0.00029724714,0.00039071075],"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":[0.0005313902,0.0000691669,0.0018732453,0.00032424968,0.00007643076,0.00023834046,0.0001622748,0.3501947,0.21128426,0.03421905,0.0019268175,0.39910012],"study_design_scores_gemma":[0.000019999627,0.00008089482,0.0006808893,0.000021703388,0.000018497636,0.00020899958,0.000045918867,0.9049162,0.08662686,0.003631479,0.0037352631,0.000013279838],"about_ca_topic_score_codex":0.00078391226,"about_ca_topic_score_gemma":0.0021660381,"teacher_disagreement_score":0.0015837272,"about_ca_system_score_codex":0.0003181075,"about_ca_system_score_gemma":0.000426653,"threshold_uncertainty_score":0.005298078},"labels":[],"label_agreement":null},{"id":"W2125254716","doi":"10.1109/tvt.2009.2037641","title":"A Novel Sensing Coordination Framework for CR-VANETs","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":85,"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 Waterloo","funders":"","keywords":"Cognitive radio; Computer science; Wireless ad hoc network; Overhead (engineering); Computer network; Node (physics); Distributed computing; Compromise; Real-time computing; Engineering; Telecommunications; Wireless","score_opus":0.013774934475986962,"score_gpt":0.25387108755098653,"score_spread":0.24009615307499957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125254716","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002015666,0.00030748267,0.9920398,0.0001540126,0.00012779923,0.00007003093,0.000036252142,0.00024466988,0.0050043175],"genre_scores_gemma":[0.3816994,0.0011226323,0.60641664,0.00024066598,0.00029337086,0.0004581167,0.00021868262,0.00012885085,0.009421662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895227,0.0002792156,0.00005954069,0.00023794344,0.00037317027,0.000097827215],"domain_scores_gemma":[0.9996879,0.000095987954,0.00003979491,0.000048405123,0.00008798896,0.0000399645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009772857,0.0006417634,0.00063980574,0.00044583337,0.0005915011,0.0011869966,0.0018410217,0.0007515495,0.0016640852],"category_scores_gemma":[0.0012921873,0.00027573536,0.0005258722,0.0005065567,0.000676204,0.0014727975,0.0017173273,0.0009994117,0.00040366658],"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":[0.00007267979,0.000056513913,0.00028736942,0.00015791495,0.00005776176,0.00044131043,0.0002159056,0.34230214,0.009944533,0.5483063,0.006385677,0.0917719],"study_design_scores_gemma":[0.000037569327,0.000095704265,0.0001253102,0.000021124044,0.00002736722,0.00032881217,0.000060740287,0.90266687,0.0022985043,0.054721307,0.03958213,0.00003453607],"about_ca_topic_score_codex":0.0026392746,"about_ca_topic_score_gemma":0.0028247165,"teacher_disagreement_score":0.0026392746,"about_ca_system_score_codex":0.0005792701,"about_ca_system_score_gemma":0.0011357897,"threshold_uncertainty_score":0.005566895},"labels":[],"label_agreement":null},{"id":"W2125790276","doi":"10.1109/tvt.2014.2310708","title":"Energy-Aware Cooperation Strategy With Uncoordinated Group Relays for Delay-Sensitive Services","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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 New Brunswick","funders":"","keywords":"Computer science; Computer network; Quality of service; Scalability; Fading; Network packet; Energy consumption; Transmission (telecommunications); Transmission delay; Wireless; Provisioning; Timer; Broadcasting (networking); Channel (broadcasting); Telecommunications; Engineering","score_opus":0.011223334643334812,"score_gpt":0.22755119593570367,"score_spread":0.21632786129236886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125790276","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":[0.14089823,0.0012176473,0.8505363,0.0003812151,0.00010124138,0.00012440143,0.000044580014,0.00038457674,0.006311811],"genre_scores_gemma":[0.9784107,0.00023248188,0.020072274,0.000066452354,0.000013230365,0.000039078517,0.000020970014,0.000009217171,0.0011355364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915123,0.00026564003,0.000043822103,0.00017189524,0.0002051486,0.0001622684],"domain_scores_gemma":[0.9988601,0.00046419856,0.00018074721,0.00013621038,0.00022099513,0.00013768421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008673126,0.0013661634,0.00090771046,0.00092430273,0.0007373165,0.00080609554,0.0022376187,0.0007898016,0.0011317267],"category_scores_gemma":[0.0022233,0.00033394573,0.00065396447,0.00075492734,0.0008240706,0.0010987436,0.001474928,0.00045326998,0.00032353823],"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":[0.0008905818,0.00027047953,0.0018761068,0.00037339295,0.00034658343,0.0027220477,0.0013564477,0.76760775,0.064943075,0.05869102,0.0035589365,0.097363584],"study_design_scores_gemma":[0.0000790762,0.00043057677,0.00036845097,0.000018079512,0.00011085801,0.0007930206,0.00024684006,0.9784363,0.008049946,0.009687798,0.0017362027,0.000042779735],"about_ca_topic_score_codex":0.0024290057,"about_ca_topic_score_gemma":0.0029352377,"teacher_disagreement_score":0.0024290057,"about_ca_system_score_codex":0.000764213,"about_ca_system_score_gemma":0.0011239798,"threshold_uncertainty_score":0.005544722},"labels":[],"label_agreement":null},{"id":"W2125955963","doi":"10.1109/tvt.2007.912601","title":"On the Design of Large-Scale UMTS Mobile Networks Using Hybrid Genetic Algorithms","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Polytechnique Montréal","funders":"","keywords":"UMTS frequency bands; Roaming; Computer science; Cellular network; Computer network; Node (physics); Mobile telephony; Heuristic; Algorithm; Mobile computing; Distributed computing; Mobile radio; Engineering; Artificial intelligence","score_opus":0.03334866353553348,"score_gpt":0.2599238704159909,"score_spread":0.22657520688045743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125955963","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":[0.06592461,0.00032503437,0.92849725,0.0001630827,0.00002490147,0.00009890948,0.000023661583,0.00026247537,0.0046800263],"genre_scores_gemma":[0.6555702,0.00033351214,0.34178552,0.00011105414,0.000018930214,0.00031583838,0.00005322671,0.00005285684,0.0017589602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969983,0.00013747666,0.000009984919,0.000042946467,0.00006628312,0.000043485787],"domain_scores_gemma":[0.9990839,0.0006592701,0.00010235568,0.000036036505,0.00008713531,0.000031318283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009851645,0.00071453245,0.0006078355,0.0006699118,0.0004395391,0.0007513519,0.0008263584,0.00071898603,0.0010525435],"category_scores_gemma":[0.0025644957,0.00040007068,0.0005349475,0.000574442,0.0007365647,0.00046029408,0.0006257366,0.00041671432,0.00013067482],"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":[0.000010603122,0.0000086928685,0.0001497347,0.00000901884,0.0000077994855,0.000015818687,0.000014017388,0.9901355,0.00041122027,0.0015956971,0.00006424403,0.007577707],"study_design_scores_gemma":[0.000006989934,0.000018883065,0.000042102904,0.0000034308816,0.000004615334,0.0000057716493,0.000008318113,0.9986657,0.0001946605,0.00086040155,0.0001875384,0.0000016812821],"about_ca_topic_score_codex":0.0053595146,"about_ca_topic_score_gemma":0.0054067695,"teacher_disagreement_score":0.0053595146,"about_ca_system_score_codex":0.0008133015,"about_ca_system_score_gemma":0.001032086,"threshold_uncertainty_score":0.010656595},"labels":[],"label_agreement":null},{"id":"W2126219130","doi":"10.1109/tvt.2010.2048768","title":"Modeling and Performance Analysis of Multihop Cooperative Wireless Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Retransmission; Computer science; Fading; Computer network; Spectral efficiency; Nakagami distribution; Robustness (evolution); Latency (audio); Network packet; Wireless; Physical layer; Spread spectrum; Throughput; Wireless network; Channel (broadcasting); Telecommunications","score_opus":0.014788016818257341,"score_gpt":0.24764246050365918,"score_spread":0.23285444368540184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126219130","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":[0.023645429,0.001217855,0.9683298,0.00029478598,0.000046679917,0.000034524222,0.00009534134,0.0001331499,0.0062023466],"genre_scores_gemma":[0.92412513,0.0030452039,0.06646752,0.00013421303,0.00019500541,0.00019596404,0.00022028857,0.00008780535,0.005528785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928194,0.00024315999,0.000026056612,0.000084734536,0.00029164564,0.00007250812],"domain_scores_gemma":[0.99925476,0.00034769592,0.00013385793,0.00008972221,0.00015528311,0.000018542298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009765518,0.0009706112,0.000597398,0.0005007638,0.00028055153,0.0009422012,0.0013476278,0.0010979186,0.00064115453],"category_scores_gemma":[0.0029055786,0.0003774813,0.0004142403,0.0006235232,0.00061386876,0.0015377589,0.00069592946,0.0008352029,0.00034213343],"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":[0.000005372901,0.000009277627,0.00014144852,0.000021285608,0.00000903944,0.000043157754,0.00003284102,0.97128314,0.0011790311,0.024104768,0.00018812298,0.0029825834],"study_design_scores_gemma":[7.529084e-7,0.000005042263,0.000041310468,0.0000022720326,0.0000017293022,0.000008721934,0.0000040490922,0.9949044,0.00014046731,0.004590711,0.00029810987,0.0000024738627],"about_ca_topic_score_codex":0.0036960875,"about_ca_topic_score_gemma":0.0015011672,"teacher_disagreement_score":0.0036960875,"about_ca_system_score_codex":0.0009359403,"about_ca_system_score_gemma":0.00062381657,"threshold_uncertainty_score":0.0073491335},"labels":[],"label_agreement":null},{"id":"W2126269115","doi":"10.1109/tvt.2008.2010217","title":"Performance of Optimum Switching Adaptive $M$-QAM for Amplify-and-Forward Relays","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":76,"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 Alberta","funders":"University of Alberta","keywords":"Quadrature amplitude modulation; Upper and lower bounds; Algorithm; Computer science; QAM; Rayleigh fading; Relay; Bit error rate; Mathematics; Fading; Physics; Power (physics); Mathematical analysis","score_opus":0.030771367420799407,"score_gpt":0.250483196710073,"score_spread":0.2197118292892736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126269115","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4362296,0.0014595763,0.53010404,0.00075764226,0.00008903252,0.00010848848,0.00019037905,0.0008698485,0.030191338],"genre_scores_gemma":[0.98429996,0.0001895524,0.013761218,0.000034204415,0.000010964683,0.000018404464,0.000033530083,0.000019671055,0.0016325797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993368,0.00029663942,0.000023459206,0.00011047184,0.00012251428,0.000110143614],"domain_scores_gemma":[0.998519,0.0010300855,0.00015576211,0.000052568987,0.00019854945,0.000043991113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013936636,0.0010876325,0.0006598033,0.00032851912,0.00034420908,0.0011254053,0.0007155648,0.0010320015,0.0020422905],"category_scores_gemma":[0.0025374324,0.00035225588,0.00032686116,0.00028975419,0.0008497131,0.0006554239,0.00048785037,0.00060790934,0.0004463592],"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":[0.0018751404,0.00014598753,0.0015626788,0.0002864011,0.000095780786,0.0001870542,0.0003347573,0.878966,0.040392075,0.031779375,0.0019153072,0.042459548],"study_design_scores_gemma":[0.00004096235,0.00025301878,0.000337373,0.000018922194,0.000024509261,0.000036217298,0.000042800428,0.98960924,0.0067181517,0.0026242884,0.00027762956,0.000016806569],"about_ca_topic_score_codex":0.0032830078,"about_ca_topic_score_gemma":0.0025982081,"teacher_disagreement_score":0.0032830078,"about_ca_system_score_codex":0.0013560072,"about_ca_system_score_gemma":0.0010643445,"threshold_uncertainty_score":0.009838581},"labels":[],"label_agreement":null},{"id":"W2126662540","doi":"10.1109/tvt.2008.2010326","title":"Marine Communications Channel Modeling Using the Finite-Difference Time Domain Method","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Delay spread; Multipath propagation; Path loss; Channel (broadcasting); Transmitter; Finite-difference time-domain method; Power delay profile; Communications system; Frequency domain; Computer science; Engineering; Simulation; Telecommunications; Electronic engineering; Remote sensing; Wireless; Geography; Physics","score_opus":0.03939037913005412,"score_gpt":0.26106894879464176,"score_spread":0.22167856966458765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126662540","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":[0.013505736,0.00014510531,0.9782428,0.00009462293,0.0000574164,0.00005267338,0.00027432878,0.0006551927,0.006972182],"genre_scores_gemma":[0.60401994,0.00091550796,0.3652677,0.00013491012,0.000075977114,0.00042755125,0.0009970058,0.00025715644,0.027904337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998883,0.000027513317,0.00000610492,0.000016507398,0.000052179246,0.000009419591],"domain_scores_gemma":[0.99978834,0.00009840439,0.000024652976,0.0000190903,0.000062045765,0.0000074222557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017790282,0.00034735477,0.00031875473,0.00034199777,0.00027437514,0.0005578601,0.0007459952,0.0006945623,0.0030608808],"category_scores_gemma":[0.00047751077,0.00021734602,0.00052489695,0.0003291389,0.00019473216,0.00041917054,0.00027645793,0.00049306586,0.00089319417],"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":[0.000017744835,0.000019850126,0.00037297248,0.000040572875,0.000010860957,0.00007509405,0.000041023115,0.9737646,0.006638062,0.005068059,0.00076403946,0.0131872],"study_design_scores_gemma":[0.0000012235303,0.0000047004937,0.000044187997,0.0000023055222,0.0000011004031,0.000012952058,0.0000043233285,0.9980987,0.00060001784,0.00024115121,0.0009867864,0.0000025693041],"about_ca_topic_score_codex":0.0068971068,"about_ca_topic_score_gemma":0.004563687,"teacher_disagreement_score":0.0068971068,"about_ca_system_score_codex":0.00039803964,"about_ca_system_score_gemma":0.00057863636,"threshold_uncertainty_score":0.013713896},"labels":[],"label_agreement":null},{"id":"W2126897670","doi":"10.1109/tvt.2004.832413","title":"Finite-State Markov Modeling of Correlated Rician-Fading Channels","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fading; Rician fading; Fading distribution; Markov model; Channel state information; Markov chain; Channel (broadcasting); Markov process; Computer science; Algorithm; Hidden Markov model; Mathematics; Rayleigh fading; Electronic engineering; Statistical physics; Statistics; Telecommunications; Engineering; Speech recognition; Physics; Wireless","score_opus":0.007208699521522155,"score_gpt":0.19963661143034933,"score_spread":0.1924279119088272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126897670","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":[0.17864607,0.00051781104,0.8129491,0.0004203129,0.00005497719,0.0000694131,0.00046234534,0.00027759932,0.0066024023],"genre_scores_gemma":[0.98360103,0.00050453475,0.012663449,0.000044924775,0.00003156292,0.00007225887,0.00022977925,0.000026614838,0.0028258937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929893,0.000262549,0.000028260587,0.00009733092,0.0001610001,0.00015190606],"domain_scores_gemma":[0.9961893,0.0026291593,0.00053943787,0.00025998312,0.00030043485,0.00008179577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015068931,0.0005405997,0.0007933087,0.00062333606,0.00042231017,0.0011331527,0.0013322181,0.00084715517,0.001347583],"category_scores_gemma":[0.0047009215,0.0004731053,0.0006030213,0.0007760016,0.0011847566,0.0014194504,0.00049515726,0.0010412376,0.0002606654],"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":[0.000026120973,0.000013477211,0.0006123742,0.000015838596,0.000012607557,0.000091427835,0.00005593105,0.94035393,0.0007063429,0.056442045,0.00017435095,0.0014954607],"study_design_scores_gemma":[0.000002650062,0.00000487907,0.00012848343,0.000002450229,0.0000034311522,0.0000123705095,0.0000057671364,0.9918458,0.00013042787,0.0077668577,0.00009213366,0.00000470858],"about_ca_topic_score_codex":0.009862174,"about_ca_topic_score_gemma":0.008232317,"teacher_disagreement_score":0.009862174,"about_ca_system_score_codex":0.0013880064,"about_ca_system_score_gemma":0.0013229022,"threshold_uncertainty_score":0.01960957},"labels":[],"label_agreement":null},{"id":"W2126941358","doi":"10.1109/tvt.2010.2046758","title":"Joint AMC and Packet Fragmentation for Error Control Over Fading Channels","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":24,"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 Victoria","funders":"","keywords":"Fading; PHY; Computer network; Computer science; Physical layer; Link adaptation; Network packet; Link layer; Wireless; Bit error rate; Automatic repeat request; Channel (broadcasting); Hybrid automatic repeat request; Telecommunications link; Telecommunications","score_opus":0.014865824732721827,"score_gpt":0.26251091391339015,"score_spread":0.24764508918066833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126941358","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":[0.033339765,0.0012528796,0.96291065,0.00015888826,0.00006181875,0.000045924287,0.0000118405505,0.00022957195,0.001988701],"genre_scores_gemma":[0.9160398,0.0005440225,0.08187204,0.000112646536,0.00006766432,0.00007343036,0.00001940898,0.000035473568,0.0012354116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900657,0.0003185748,0.00004156923,0.00010468239,0.00040332013,0.00012532008],"domain_scores_gemma":[0.9975867,0.0011129079,0.00044011677,0.00039627266,0.00038401215,0.000079944875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021690396,0.0006971881,0.0004427774,0.00048377065,0.00045662004,0.0006542391,0.0009111519,0.0005458273,0.00090711005],"category_scores_gemma":[0.005286888,0.00018172245,0.000376326,0.0006354249,0.0008516057,0.0009085792,0.0010138705,0.0009628774,0.00019004112],"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":[0.00028908317,0.00013957455,0.002199036,0.00018136545,0.00008082934,0.00020640592,0.00014716052,0.70380235,0.03735456,0.07373813,0.0014554978,0.18040605],"study_design_scores_gemma":[0.0000275891,0.0001833834,0.0007024627,0.000017102026,0.00003567354,0.00019006673,0.000014853963,0.9775983,0.007616901,0.011839446,0.0017521218,0.000022050597],"about_ca_topic_score_codex":0.0008783943,"about_ca_topic_score_gemma":0.0009773676,"teacher_disagreement_score":0.0021690396,"about_ca_system_score_codex":0.00065094524,"about_ca_system_score_gemma":0.0010138665,"threshold_uncertainty_score":0.011471152},"labels":[],"label_agreement":null},{"id":"W2126972811","doi":"10.1109/tvt.2015.2487320","title":"Unified Analysis of Cooperative Spectrum Sensing Over Composite and Generalized Fading Channels","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fading; Multipath propagation; Cognitive radio; Probability density function; Monte Carlo method; Fading distribution; Maximal-ratio combining; Upper and lower bounds; Truncation (statistics); Topology (electrical circuits)","score_opus":0.01790085336042478,"score_gpt":0.24639451391414988,"score_spread":0.2284936605537251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126972811","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":[0.10842553,0.00067778555,0.8863193,0.00013858407,0.000029341647,0.00003743278,0.000053192965,0.0001193559,0.004199517],"genre_scores_gemma":[0.9727701,0.0004556601,0.02570778,0.000050357743,0.000036613892,0.00004608706,0.00003030776,0.000023237853,0.00087998254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845064,0.0005163171,0.000046507994,0.00021895167,0.00050362217,0.00026392835],"domain_scores_gemma":[0.99540484,0.0032167914,0.00046873273,0.0002942833,0.0005043529,0.00011103397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023816433,0.0011825683,0.0010837157,0.00071324967,0.00033464146,0.0014074154,0.0010536646,0.00086739194,0.000792367],"category_scores_gemma":[0.007170579,0.00038687393,0.00072658825,0.00078922044,0.001813306,0.0017650326,0.0015580715,0.00074541714,0.00013967682],"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":[0.000038035418,0.000012013843,0.00047559064,0.000041370695,0.000028870714,0.000118507945,0.00006446442,0.9725404,0.0022317425,0.020888912,0.00009255049,0.0034676397],"study_design_scores_gemma":[0.0000022447011,0.000020150741,0.00017516997,0.00000339765,0.000006269585,0.000029569634,0.000015263457,0.99503785,0.00031681365,0.004324215,0.00006360095,0.0000055528226],"about_ca_topic_score_codex":0.0024074719,"about_ca_topic_score_gemma":0.0015921238,"teacher_disagreement_score":0.0024074719,"about_ca_system_score_codex":0.0011286008,"about_ca_system_score_gemma":0.0009320337,"threshold_uncertainty_score":0.012595475},"labels":[],"label_agreement":null},{"id":"W2126980509","doi":"10.1109/tvt.2014.2354076","title":"Spectrum Band Selection in Delay-QoS Constrained Cognitive Radio Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Cognitive radio; Quality of service; Transmitter; Transmitter power output; Interference (communication); Computer science; Channel (broadcasting); Computer network; Mathematical optimization; Constraint (computer-aided design); Frequency band; Selection (genetic algorithm); Radio spectrum; Power budget; Telecommunications; Electronic engineering; Power (physics); Power control; Engineering; Wireless; Mathematics; Bandwidth (computing); Physics; Artificial intelligence","score_opus":0.00610687221730438,"score_gpt":0.21032184351081107,"score_spread":0.2042149712935067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126980509","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":[0.046662334,0.0016291069,0.9443519,0.00018671702,0.000056232628,0.000035710484,0.00004509125,0.000078495475,0.0069543505],"genre_scores_gemma":[0.95211595,0.0011580299,0.044698693,0.00010248707,0.00004574876,0.00007813001,0.000028084374,0.000022713095,0.0017501831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929106,0.00027118245,0.000021016425,0.00010500321,0.00017499656,0.00013682517],"domain_scores_gemma":[0.9991155,0.000606839,0.0001098855,0.000031097545,0.00009992678,0.0000366252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009046437,0.0008378473,0.00057072216,0.0005311853,0.00043219991,0.0012211726,0.00075214665,0.000694644,0.00089334603],"category_scores_gemma":[0.002593154,0.00036916143,0.00032492276,0.00092659495,0.00086110126,0.0008958691,0.0006688553,0.00057162263,0.00014959087],"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":[0.00006981193,0.00003329647,0.0005012381,0.000107261956,0.000026788755,0.00022668087,0.00008638819,0.9435077,0.0033115586,0.03603782,0.00043722708,0.015654314],"study_design_scores_gemma":[0.000008628242,0.00002773499,0.0001099785,0.000011293762,0.00001130567,0.000051388233,0.000029453828,0.98758954,0.0005900946,0.011089369,0.000472104,0.000009159523],"about_ca_topic_score_codex":0.003278162,"about_ca_topic_score_gemma":0.003426406,"teacher_disagreement_score":0.003278162,"about_ca_system_score_codex":0.0009794034,"about_ca_system_score_gemma":0.00086916157,"threshold_uncertainty_score":0.0071061254},"labels":[],"label_agreement":null},{"id":"W2127163824","doi":"10.1109/tvt.2007.914060","title":"Modeling and Hardware Implementation Aspects of Fading Channel Simulators","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Field-programmable gate array; Computer science; Rayleigh fading; Channel (broadcasting); Wireless; Gate array; Channel state information; Electronic engineering; Computer hardware; Telecommunications; Engineering","score_opus":0.017080773676773867,"score_gpt":0.2599401599681775,"score_spread":0.24285938629140363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127163824","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":[0.0386045,0.00027252256,0.95143193,0.00019287,0.00006407739,0.00013523836,0.00018848898,0.002440107,0.0066701467],"genre_scores_gemma":[0.686395,0.0008416694,0.30734822,0.00012199271,0.000061523046,0.00025856376,0.00035431955,0.00025529184,0.0043634283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956626,0.000120720826,0.000033434044,0.000038938415,0.00018813692,0.00005239692],"domain_scores_gemma":[0.99935025,0.00031055484,0.00005467105,0.00014399811,0.00012681105,0.000013802061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003710158,0.0005080008,0.0002747948,0.00025706206,0.00020327902,0.0005961421,0.00088705786,0.00041337518,0.0033120262],"category_scores_gemma":[0.0018360803,0.0002803387,0.00030896897,0.00023080077,0.00024121784,0.00094874157,0.00024834136,0.00066240947,0.00066992803],"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":[0.00014093576,0.00004946419,0.0016454409,0.00020983312,0.000046542922,0.0002057642,0.00010631634,0.8516933,0.03680249,0.032200105,0.002321795,0.07457806],"study_design_scores_gemma":[0.00003351607,0.00016411087,0.0003367505,0.00002448807,0.000024607418,0.0001584298,0.000022937247,0.9489654,0.033527296,0.0046400405,0.012083831,0.00001863633],"about_ca_topic_score_codex":0.0015882766,"about_ca_topic_score_gemma":0.0013894354,"teacher_disagreement_score":0.0033120262,"about_ca_system_score_codex":0.00035795924,"about_ca_system_score_gemma":0.0006734472,"threshold_uncertainty_score":0.011079788},"labels":[],"label_agreement":null},{"id":"W2127317062","doi":"10.1109/tvt.2007.901967","title":"Efficient Wireless Extension Point Placement Algorithm in Urban Rectilineal WLANs","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":8,"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","funders":"","keywords":"Computer network; Throughput; Computer science; Wireless network; Wi-Fi; Wireless; Channel (broadcasting); Telecommunications","score_opus":0.013223673806588138,"score_gpt":0.23727032785320396,"score_spread":0.2240466540466158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127317062","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":[0.058497537,0.00014193456,0.9380231,0.00012882093,0.000017533126,0.00009311466,0.000052336905,0.00040552416,0.002640139],"genre_scores_gemma":[0.47189182,0.0002133708,0.5224389,0.00006193012,0.000019711095,0.00020855163,0.00020051778,0.00006557808,0.0048996443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996749,0.000119169286,0.000015293446,0.000066990164,0.00005799484,0.00006568926],"domain_scores_gemma":[0.9994779,0.00024067333,0.00011637768,0.00004354942,0.00007791389,0.000043592718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067146146,0.00072240015,0.0008786112,0.00067600067,0.00047062495,0.00063388253,0.0010968148,0.0008040494,0.0016905522],"category_scores_gemma":[0.0014844658,0.0004368867,0.00031143898,0.00089615595,0.0005434627,0.00077181705,0.0010374864,0.00048318194,0.0005380248],"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":[0.00015691401,0.000044315042,0.00062696,0.00003266742,0.0000126408595,0.00008898669,0.00006907032,0.9472125,0.001673143,0.0037221028,0.0007600366,0.045600593],"study_design_scores_gemma":[0.000019677804,0.00003609247,0.00010861939,0.0000034756843,0.0000028872116,0.000028173874,0.00002402945,0.99765503,0.00046305306,0.0012557394,0.0003979541,0.0000051596076],"about_ca_topic_score_codex":0.003947386,"about_ca_topic_score_gemma":0.004474253,"teacher_disagreement_score":0.003947386,"about_ca_system_score_codex":0.00081647583,"about_ca_system_score_gemma":0.0008424918,"threshold_uncertainty_score":0.007848799},"labels":[],"label_agreement":null},{"id":"W2127735659","doi":"10.1109/25.892599","title":"On the use of Cann's model for nonlinear behavioral-level simulation","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Power Line Communications and Noise","field":"Engineering","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":"École de Technologie Supérieure","funders":"","keywords":"Intermodulation; Nonlinear system; Behavioral modeling; Computer science; Electronic engineering; Taylor series; Channel (broadcasting); Electronic circuit; Power (physics); Engineering; Telecommunications; Electrical engineering; Mathematics; Physics; Amplifier","score_opus":0.0815637058130136,"score_gpt":0.28371353934307003,"score_spread":0.20214983353005644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127735659","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":[0.0063857925,0.000228894,0.97115344,0.00034843254,0.00008135799,0.00005303429,0.00010853273,0.00070197514,0.020938637],"genre_scores_gemma":[0.5183926,0.0018194757,0.4431761,0.0006562761,0.00012751755,0.0005753916,0.00041110875,0.0008266184,0.03401484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950993,0.00011520338,0.00002230316,0.000054364587,0.0002513793,0.00004684916],"domain_scores_gemma":[0.9992132,0.00039012148,0.00004634964,0.00010976239,0.00020390186,0.00003666439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007660423,0.0006719989,0.00071142864,0.0006593497,0.0005429584,0.0010296818,0.0016797018,0.0014871865,0.0045450525],"category_scores_gemma":[0.0030656604,0.00035095765,0.000933839,0.00070938806,0.000868705,0.001392284,0.0008076691,0.0015025294,0.001374411],"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":[0.000068763846,0.000041988063,0.00045323998,0.000066380395,0.00001814919,0.000080309255,0.00010234982,0.6999317,0.0043076547,0.27367792,0.0019719426,0.01927959],"study_design_scores_gemma":[0.0000047075614,0.000014870317,0.000035503766,0.000009283562,0.000005362138,0.000014247078,0.0000036910205,0.97941315,0.0007130619,0.017008718,0.0027680874,0.000009336176],"about_ca_topic_score_codex":0.010784319,"about_ca_topic_score_gemma":0.0076109204,"teacher_disagreement_score":0.010784319,"about_ca_system_score_codex":0.0012648171,"about_ca_system_score_gemma":0.0012975736,"threshold_uncertainty_score":0.021443129},"labels":[],"label_agreement":null},{"id":"W2128132268","doi":"10.1109/tvt.2007.905613","title":"Performance Evaluation of Bluetooth Systems With LDI, Modified LDI, and NSD Receivers","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Bluetooth and Wireless Communication Technologies","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":"University of British Columbia","funders":"","keywords":"Bluetooth; Computer science; Bit error rate; Electronic engineering; Jitter; Real-time computing; Network packet; Wireless; Computer network; Engineering; Channel (broadcasting); Telecommunications","score_opus":0.030156719719255792,"score_gpt":0.23065942779567852,"score_spread":0.20050270807642273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128132268","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":[0.8894227,0.0035692125,0.098748,0.00029100588,0.00008564153,0.00013911058,0.00025049553,0.0009141257,0.0065797255],"genre_scores_gemma":[0.9900157,0.00050460343,0.008603759,0.000037661775,0.000029399183,0.000042770094,0.00012464798,0.0000216782,0.00061971875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788886,0.00077695487,0.00016987127,0.00020169828,0.000756721,0.00020597418],"domain_scores_gemma":[0.9945111,0.0031098153,0.0005085244,0.000454618,0.0012913444,0.00012465756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020643303,0.0008403872,0.0008520838,0.0014311165,0.00052463886,0.00077845494,0.0007966931,0.0008178989,0.0008300898],"category_scores_gemma":[0.0068027456,0.00020916869,0.0003485458,0.0015449624,0.0005265438,0.0010608789,0.0007646344,0.0003628219,0.0002466478],"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":[0.0028100188,0.0004216349,0.023395576,0.00072508253,0.0003174835,0.00062826497,0.00041166332,0.76465,0.057384387,0.0060956688,0.0012649149,0.14189535],"study_design_scores_gemma":[0.00011724578,0.0027036057,0.0066956594,0.000040359548,0.00016707841,0.00076807156,0.00012518381,0.95578045,0.03153535,0.0008642907,0.0011273965,0.000075285454],"about_ca_topic_score_codex":0.0016472356,"about_ca_topic_score_gemma":0.001284113,"teacher_disagreement_score":0.0020643303,"about_ca_system_score_codex":0.0010417145,"about_ca_system_score_gemma":0.0004861319,"threshold_uncertainty_score":0.010917366},"labels":[],"label_agreement":null},{"id":"W2128136185","doi":"10.1109/tvt.2005.853888","title":"Medium Access Control in Ultra-Wideband Wireless Networks","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":89,"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 Waterloo","funders":"","keywords":"Computer network; Wireless; Quality of service; Overhead (engineering); Wireless network; Multipath propagation; Access control; Computer science; Transmission (telecommunications); Ultra-wideband; Control channel; Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.006931046528788335,"score_gpt":0.22277233409354325,"score_spread":0.2158412875647549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128136185","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":[0.0060074585,0.054918833,0.903771,0.0027340113,0.0022667048,0.00022906989,0.00013224415,0.0008756812,0.02906511],"genre_scores_gemma":[0.5937841,0.09266466,0.26660913,0.00374748,0.0069325045,0.0021896674,0.00065144204,0.00017316501,0.033247903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980621,0.00066880364,0.0001646328,0.00027364417,0.000682206,0.00014855473],"domain_scores_gemma":[0.99830914,0.00080269447,0.0001922915,0.0002370901,0.00039230828,0.000066478315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017962492,0.00078768766,0.0012377605,0.00065608515,0.00094260025,0.002503419,0.0017723799,0.0022403202,0.0028191912],"category_scores_gemma":[0.00392143,0.0003376324,0.0003176974,0.001691039,0.0013863912,0.0024522732,0.0012326415,0.002315655,0.0012714572],"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":[0.00017639867,0.00014829318,0.00075049006,0.0011162537,0.000089992056,0.0011391527,0.00036188113,0.061490085,0.012688361,0.55667573,0.023337122,0.34202623],"study_design_scores_gemma":[0.00015983752,0.00032718087,0.0009861905,0.0005904181,0.00011482063,0.0015715192,0.00020353889,0.38935915,0.007212128,0.32186043,0.27747583,0.0001389865],"about_ca_topic_score_codex":0.0014479154,"about_ca_topic_score_gemma":0.000915944,"teacher_disagreement_score":0.0028191912,"about_ca_system_score_codex":0.00079722475,"about_ca_system_score_gemma":0.0009494935,"threshold_uncertainty_score":0.00949955},"labels":[],"label_agreement":null},{"id":"W2128350152","doi":"10.1109/tvt.2007.895596","title":"Simple Efficient Methods for Generating Independent and Bivariate Nakagami- $m$ Fading Envelope Samples","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nakagami distribution; Fading; Bivariate analysis; Envelope (radar); Fading distribution; Mathematics; Weibull fading; Algorithm; Statistics; Computer science; Electronic engineering; Telecommunications; Engineering; Decoding methods; Rayleigh fading","score_opus":0.025683513058582817,"score_gpt":0.29216174135083833,"score_spread":0.26647822829225554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128350152","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00096699083,0.00004762724,0.99822193,0.000014299049,0.000010071486,0.00003630591,0.000024908866,0.0002099129,0.0004679035],"genre_scores_gemma":[0.039931476,0.00020551491,0.95805764,0.000027628126,0.000032287,0.00019137947,0.00016526523,0.00013231169,0.0012564097],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897313,0.00031794893,0.0000688366,0.00009600636,0.00049739564,0.000046672816],"domain_scores_gemma":[0.997428,0.0014626152,0.00025231496,0.00044732468,0.00035769065,0.000052082432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013308597,0.0011807713,0.0007723586,0.00096251426,0.00043955856,0.0008041338,0.0012472449,0.0007031816,0.005106408],"category_scores_gemma":[0.0075479946,0.0005128811,0.0007234253,0.00090021204,0.00047587475,0.0010672082,0.0011515087,0.0010095047,0.0024018497],"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":[0.00035806082,0.00014943359,0.0014713494,0.00040114412,0.00012391114,0.00019256065,0.00033396718,0.17715813,0.03820503,0.062505364,0.0036093264,0.7154917],"study_design_scores_gemma":[0.00011041877,0.00014057041,0.0009578329,0.000058498852,0.000054333308,0.0006621021,0.00006654809,0.92068505,0.037636593,0.026913747,0.01261271,0.00010163672],"about_ca_topic_score_codex":0.0007407597,"about_ca_topic_score_gemma":0.0015737729,"teacher_disagreement_score":0.005106408,"about_ca_system_score_codex":0.0003921887,"about_ca_system_score_gemma":0.0007708678,"threshold_uncertainty_score":0.017082691},"labels":[],"label_agreement":null},{"id":"W2129832190","doi":"10.1109/tvt.2007.897639","title":"Blind Channel Estimation for Orthogonal STBC in MISO Systems","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":31,"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","funders":"","keywords":"Algorithm; Estimator; Channel (broadcasting); Mathematics; Fading; Matrix decomposition; Block code; MIMO; Space–time block code; Computer science; Computational complexity theory; Decoding methods; Statistics; Telecommunications; Eigenvalues and eigenvectors","score_opus":0.015114672875898204,"score_gpt":0.2685324272226631,"score_spread":0.2534177543467649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129832190","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":[0.025322655,0.00031549257,0.9729443,0.00009741576,0.000039496656,0.000024865727,0.000046571156,0.0003190511,0.0008901541],"genre_scores_gemma":[0.6405646,0.00053484505,0.35574204,0.000107490036,0.00007562667,0.00008954334,0.00013469702,0.000053203003,0.002698022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989561,0.00035681512,0.000044567983,0.00010231371,0.00044153578,0.00009865186],"domain_scores_gemma":[0.9982231,0.0009410876,0.00024442415,0.00017272535,0.00036123168,0.000057354177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088131725,0.0006434022,0.0007662129,0.0005880447,0.00053108326,0.0006987223,0.00035490465,0.0006382205,0.00085040485],"category_scores_gemma":[0.0047186404,0.00029529928,0.00024786824,0.0005298983,0.0008038618,0.0010714317,0.0007058884,0.0005831795,0.0003711605],"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":[0.0010452725,0.00011006031,0.0013581753,0.00025117563,0.00009670873,0.00017520308,0.00027730287,0.62614876,0.04391741,0.04507232,0.0030467794,0.2785009],"study_design_scores_gemma":[0.000021326885,0.000041576724,0.00024896907,0.000010666214,0.0000097931625,0.00006113568,0.000016487842,0.98247874,0.009601773,0.006631693,0.0008524415,0.000025422249],"about_ca_topic_score_codex":0.0027698209,"about_ca_topic_score_gemma":0.0036235044,"teacher_disagreement_score":0.0027698209,"about_ca_system_score_codex":0.00056643906,"about_ca_system_score_gemma":0.0011018751,"threshold_uncertainty_score":0.0055074096},"labels":[],"label_agreement":null},{"id":"W2130137697","doi":"10.1109/tvt.2007.909277","title":"A Novel Nonlinear Joint Transmitter-Receiver Processing Algorithm for the Downlink of Multiuser MIMO Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Precoding; Algorithm; Telecommunications link; Transmitter; Computer science; Multi-user MIMO; Multiuser detection; Channel (broadcasting); Electronic engineering; Engineering; Telecommunications; Code division multiple access","score_opus":0.016871414866996084,"score_gpt":0.2212129994799861,"score_spread":0.20434158461299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130137697","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":[0.0016196856,0.000059577942,0.99745566,0.000039191065,0.000017193861,0.000020834634,0.000014219806,0.00011664449,0.0006569365],"genre_scores_gemma":[0.06687612,0.00026473252,0.92757386,0.000098242446,0.00006264162,0.00015979358,0.0001683076,0.000058230595,0.004738123],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955016,0.00008863768,0.00002608773,0.000099026205,0.00019331966,0.00004278985],"domain_scores_gemma":[0.9996792,0.00011097671,0.00003827842,0.000040782386,0.00011801642,0.000012794963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006112084,0.0009074619,0.00056307524,0.00036300893,0.00046177223,0.00082314055,0.0008418887,0.0008350334,0.0034339633],"category_scores_gemma":[0.0012671261,0.00031993724,0.0005045934,0.0005073618,0.00041074379,0.0010804748,0.0006971237,0.0011906628,0.0017004536],"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":[0.00026442108,0.00008972466,0.00057852606,0.00020035432,0.00007012203,0.00013695331,0.00021329806,0.3052213,0.03938099,0.040722236,0.004008566,0.6091135],"study_design_scores_gemma":[0.00003018352,0.00008000144,0.00013115387,0.000013016033,0.000010687774,0.00010823761,0.0000168019,0.9823882,0.008666928,0.0039556725,0.0045820572,0.000017052891],"about_ca_topic_score_codex":0.0015062297,"about_ca_topic_score_gemma":0.0026916259,"teacher_disagreement_score":0.0034339633,"about_ca_system_score_codex":0.0005643258,"about_ca_system_score_gemma":0.0013666592,"threshold_uncertainty_score":0.011487782},"labels":[],"label_agreement":null},{"id":"W2130462143","doi":"10.1109/tvt.2011.2153218","title":"Semiblind Sparse Channel Estimation for MIMO-OFDM Systems","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":66,"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","funders":"","keywords":"Orthogonal frequency-division multiplexing; MIMO; MIMO-OFDM; Algorithm; Channel (broadcasting); Sparse approximation; Computer science; Impulse (physics); Mathematics; Telecommunications","score_opus":0.03061368393779725,"score_gpt":0.24563465031919787,"score_spread":0.2150209663814006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130462143","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":[0.0038409752,0.00006397159,0.9955634,0.00003674339,0.000013024321,0.00001139392,0.000015809526,0.00013814462,0.00031651065],"genre_scores_gemma":[0.35487399,0.0003789116,0.64211315,0.00011152597,0.00010341493,0.000099439414,0.00016602018,0.00007675506,0.0020767206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999173,0.00028686316,0.00003257057,0.00011238159,0.0003349369,0.00006028378],"domain_scores_gemma":[0.9982899,0.00094056554,0.00022352046,0.00019165671,0.00031047338,0.00004385077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007255161,0.00062194886,0.0007156125,0.00042964524,0.00047662217,0.00073876744,0.0005455628,0.00067964435,0.0013817956],"category_scores_gemma":[0.0036332877,0.00029958918,0.00039069695,0.00037665764,0.0007012536,0.0010929973,0.0009254956,0.0009162526,0.0005679573],"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":[0.000501564,0.00013418458,0.0010335504,0.00027793113,0.00009415743,0.00015692585,0.00021942133,0.5853734,0.061602958,0.033046875,0.0022932885,0.3152658],"study_design_scores_gemma":[0.000015022949,0.00006681819,0.00019468962,0.000008562096,0.000007943392,0.0000794742,0.000015574895,0.9834696,0.008744957,0.006263985,0.0011149851,0.000018454679],"about_ca_topic_score_codex":0.0008359295,"about_ca_topic_score_gemma":0.0012162849,"teacher_disagreement_score":0.0013817956,"about_ca_system_score_codex":0.00040008366,"about_ca_system_score_gemma":0.00093505747,"threshold_uncertainty_score":0.004622519},"labels":[],"label_agreement":null},{"id":"W2131563410","doi":"10.1109/tvt.2007.895491","title":"Effect of Channel Estimation Errors on $M$-QAM With MRC and EGC in Nakagami Fading Channels","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; University of British Columbia","keywords":"Nakagami distribution; Quadrature amplitude modulation; Fading; Maximal-ratio combining; QAM; Mathematics; Algorithm; Diversity combining; Signal-to-noise ratio (imaging); Statistics; Channel (broadcasting); Bit error rate; Electronic engineering; Telecommunications; Computer science; Engineering","score_opus":0.005403553770572226,"score_gpt":0.24263378049998824,"score_spread":0.23723022672941602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131563410","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":[0.71577287,0.0025512467,0.26777554,0.00088102143,0.00014716861,0.00009894077,0.00051700126,0.0007380334,0.011518203],"genre_scores_gemma":[0.98209584,0.0005426128,0.016242454,0.00010556363,0.00003087532,0.000024785179,0.00010471397,0.00005514945,0.0007980153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964366,0.0013713819,0.0001842302,0.00033542942,0.0010489471,0.000623391],"domain_scores_gemma":[0.97379535,0.021097803,0.0022450474,0.0013807626,0.001320659,0.00016030505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037238644,0.0013925153,0.00092906796,0.0006370176,0.0004962121,0.0008914465,0.0006936276,0.001173578,0.0013362418],"category_scores_gemma":[0.024770722,0.00034311024,0.0003846179,0.0011347337,0.0016568389,0.0017658881,0.0012689244,0.0007215965,0.00025813092],"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":[0.0009595748,0.000049272963,0.007449748,0.00022053022,0.00012187887,0.00056850846,0.0002561298,0.9536015,0.008232322,0.010650257,0.00055818545,0.01733218],"study_design_scores_gemma":[0.000047897454,0.00024080346,0.0053950255,0.000089732144,0.00015177915,0.00042498807,0.00015866564,0.95787853,0.030917197,0.0040591164,0.00055453554,0.00008174295],"about_ca_topic_score_codex":0.0059011695,"about_ca_topic_score_gemma":0.004975615,"teacher_disagreement_score":0.0059011695,"about_ca_system_score_codex":0.0009607084,"about_ca_system_score_gemma":0.001011629,"threshold_uncertainty_score":0.019693911},"labels":[],"label_agreement":null},{"id":"W2132066959","doi":"10.1109/tvt.2010.2064797","title":"Energy Provisioning in Solar-Powered Wireless Mesh Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Provisioning; Computer science; Computer network; Software deployment; Distributed computing; Node (physics); Resource (disambiguation); Engineering","score_opus":0.005045545997115285,"score_gpt":0.20596841066086558,"score_spread":0.20092286466375028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132066959","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":[0.21271418,0.00062289194,0.78124815,0.000293058,0.00003820739,0.00006226865,0.00008124097,0.0002653801,0.0046746824],"genre_scores_gemma":[0.92434293,0.00034593785,0.07396403,0.000032123913,0.00001605622,0.000060352453,0.000047873848,0.000027247068,0.0011633694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997634,0.000121502635,0.000007624894,0.000026862981,0.00004985692,0.00003072528],"domain_scores_gemma":[0.9996389,0.00023111577,0.000056207857,0.000026798893,0.000034803164,0.000012091794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005722351,0.00025415374,0.0002732091,0.00036432358,0.00035132203,0.00043936123,0.0005264219,0.00043549394,0.0005353204],"category_scores_gemma":[0.0017126348,0.00021583517,0.00017007922,0.00062506035,0.00028256158,0.0008122467,0.0003731978,0.00020809451,0.000075382224],"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":[0.000040900497,0.00002485126,0.00083770487,0.000038854618,0.000011741882,0.000048392627,0.000024880712,0.95545596,0.003129573,0.0046785004,0.00033589234,0.03537274],"study_design_scores_gemma":[0.000004051887,0.000020777448,0.0002260251,0.0000032179346,0.000003477891,0.00001979645,0.000023812217,0.9941328,0.0010038775,0.0041771345,0.00038211187,0.0000027903668],"about_ca_topic_score_codex":0.0019031696,"about_ca_topic_score_gemma":0.0030203634,"teacher_disagreement_score":0.0019031696,"about_ca_system_score_codex":0.00061326934,"about_ca_system_score_gemma":0.00033531367,"threshold_uncertainty_score":0.004449606},"labels":[],"label_agreement":null},{"id":"W2132081755","doi":"10.1109/tvt.2008.2009455","title":"Cross-Layer Design of MIMO-Enabled WLANs With Network Utility Maximization","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","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 British Columbia","funders":"","keywords":"PHY; Computer network; Computer science; Aloha; Network allocation vector; Physical layer; MIMO; Quality of service; Multiple Access with Collision Avoidance for Wireless; Transmission (telecommunications); Throughput; Wireless; Wireless network; Channel (broadcasting); IEEE 802.11; Wi-Fi array; Telecommunications","score_opus":0.02714852338291451,"score_gpt":0.24886637633328704,"score_spread":0.22171785295037252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132081755","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":[0.07441802,0.00093786273,0.9163291,0.00018527872,0.00009406211,0.00008980864,0.000033668573,0.00041532793,0.00749694],"genre_scores_gemma":[0.9276305,0.000419096,0.06976269,0.00015345348,0.00004825571,0.00008579595,0.000033056534,0.000039051174,0.0018281755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991887,0.00031290628,0.000038058035,0.00011173371,0.00022553143,0.00012298214],"domain_scores_gemma":[0.9992836,0.00023590017,0.00011306121,0.00005850287,0.00024836167,0.00006052931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015098765,0.0005593835,0.0004083447,0.0003118068,0.0002808668,0.0010339302,0.0008907464,0.0003665314,0.0013169841],"category_scores_gemma":[0.0014257474,0.0003951868,0.0003334326,0.00023547863,0.00034304007,0.00041672782,0.00077509624,0.00049974385,0.0003167753],"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":[0.00045251427,0.0002444309,0.0031225677,0.00022707113,0.00023363454,0.0004908543,0.0002696932,0.72539145,0.120288335,0.049554057,0.0019443225,0.09778106],"study_design_scores_gemma":[0.00001926794,0.00020350543,0.00043435403,0.000009945468,0.000034301676,0.000073469615,0.00001966686,0.9881952,0.008000099,0.0016979558,0.0012978168,0.000014482487],"about_ca_topic_score_codex":0.0007292302,"about_ca_topic_score_gemma":0.0009663601,"teacher_disagreement_score":0.0015098765,"about_ca_system_score_codex":0.000644424,"about_ca_system_score_gemma":0.0005334195,"threshold_uncertainty_score":0.007985055},"labels":[],"label_agreement":null},{"id":"W2132228636","doi":"10.1109/tvt.2010.2082006","title":"On the Feasibility of Wireless Shadowing Correlation Models","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":180,"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; Autocorrelation; Wireless; Variance (accounting); Correlation; Focus (optics); Shadow mapping; Mathematical optimization; Mathematics; Artificial intelligence; Statistics; Telecommunications","score_opus":0.01581882855189533,"score_gpt":0.22373329199504513,"score_spread":0.2079144634431498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132228636","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":[0.08224496,0.0007560329,0.8954612,0.001991454,0.00006055168,0.00004324459,0.00019419272,0.0001770296,0.019071303],"genre_scores_gemma":[0.93277156,0.001489503,0.060242947,0.0003035093,0.00015308284,0.0001358959,0.00021649519,0.00011055806,0.0045764423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715364,0.0016454109,0.00010248327,0.00027033853,0.0005294915,0.00029865614],"domain_scores_gemma":[0.96769005,0.027325459,0.001727429,0.0013546649,0.0014884361,0.00041383534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005823407,0.000861363,0.0009096568,0.001106992,0.00069413974,0.001906261,0.0013365683,0.0011583494,0.0034975056],"category_scores_gemma":[0.028230766,0.00071978057,0.0011549531,0.0010325324,0.0028842676,0.0035901025,0.001996533,0.0023807928,0.00043670973],"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":[0.000081713784,0.00007046513,0.0012083502,0.000101105536,0.000023082483,0.00022381508,0.00016828158,0.3541742,0.0010435224,0.6341377,0.0012692697,0.007498522],"study_design_scores_gemma":[0.000016689095,0.000055618963,0.00029539573,0.000043314398,0.000010309129,0.00011541225,0.00006250743,0.7928675,0.00038120252,0.20511366,0.0010167868,0.000021654176],"about_ca_topic_score_codex":0.0024964784,"about_ca_topic_score_gemma":0.0016371033,"teacher_disagreement_score":0.005823407,"about_ca_system_score_codex":0.0009834676,"about_ca_system_score_gemma":0.0017003752,"threshold_uncertainty_score":0.030797482},"labels":[],"label_agreement":null},{"id":"W2132388203","doi":"10.1109/tvt.2008.928898","title":"Lexicographically Optimal Routing for Wireless Sensor Networks With Multiple Sinks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":42,"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":"","keywords":"Lexicographical order; Wireless sensor network; Computer science; Routing (electronic design automation); Node (physics); Wireless; Mathematical optimization; Commodity; Sink (geography); Computer network; Algorithm; Mathematics; Engineering; Telecommunications; Combinatorics","score_opus":0.007047224449727065,"score_gpt":0.21085786163353257,"score_spread":0.20381063718380552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132388203","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":[0.016741345,0.00047463307,0.9793068,0.00029041586,0.000048376573,0.000099728546,0.000106370564,0.00029584602,0.002636404],"genre_scores_gemma":[0.22229566,0.0007140584,0.7730602,0.00020163196,0.000049504724,0.0001955457,0.0003404677,0.00013115564,0.0030117892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990125,0.0004519195,0.00007136732,0.00018220495,0.00018042205,0.00010159877],"domain_scores_gemma":[0.99891746,0.000634895,0.00013404827,0.00013266319,0.000123707,0.000057150577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015271752,0.00076573284,0.00095169345,0.0007945422,0.0007718759,0.0009978632,0.0011768775,0.0007327484,0.0018710445],"category_scores_gemma":[0.003579789,0.0005747111,0.00052083837,0.0013357666,0.0009960899,0.0018843496,0.0012073186,0.00085488264,0.00047485248],"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":[0.00026898689,0.0000833843,0.00072591536,0.0003160699,0.000046076464,0.00014395511,0.00031058857,0.7520677,0.006188298,0.13702126,0.004028988,0.09879878],"study_design_scores_gemma":[0.000043686257,0.00009365799,0.0001443071,0.00002403857,0.000013081128,0.000072092436,0.0000689284,0.8973488,0.0019093271,0.09582673,0.0044319644,0.000023343731],"about_ca_topic_score_codex":0.0020066996,"about_ca_topic_score_gemma":0.003436598,"teacher_disagreement_score":0.0020066996,"about_ca_system_score_codex":0.0016214519,"about_ca_system_score_gemma":0.0019010857,"threshold_uncertainty_score":0.011764526},"labels":[],"label_agreement":null},{"id":"W2133045785","doi":"10.1109/tvt.2011.2149549","title":"Accurate and Efficient Network Tomography Through Network Coding","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Network tomography; Linear network coding; Computer science; Tomography; Computed tomography; Coding (social sciences); Network topology; Computer network; Mathematics; Physics","score_opus":0.03578074266462257,"score_gpt":0.25186707483239007,"score_spread":0.21608633216776751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133045785","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":[0.0033326668,0.0000366133,0.9961427,0.00006928312,0.0000038163066,0.000012325559,0.000014205666,0.00009241816,0.0002959054],"genre_scores_gemma":[0.46487162,0.00036806014,0.53308195,0.00009598575,0.000027732065,0.00022183124,0.00017432735,0.00007133566,0.0010872381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988416,0.0005247138,0.000043219425,0.00013726526,0.0003838906,0.000069391506],"domain_scores_gemma":[0.99600273,0.002583008,0.0004863352,0.00046889283,0.00039741702,0.00006167816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017923402,0.00064744515,0.00059512054,0.0008546497,0.00040152736,0.0009622923,0.0012539255,0.0007494132,0.00054565544],"category_scores_gemma":[0.011391635,0.00042337392,0.00039621015,0.0010870285,0.0015535798,0.0029278412,0.0016585055,0.0013815061,0.00019022622],"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":[0.0000798168,0.000019500942,0.00090286875,0.00006642424,0.000018694462,0.000079273486,0.00012330982,0.8816197,0.0056314627,0.057344027,0.00053766544,0.053577255],"study_design_scores_gemma":[0.0000036180593,0.000007945256,0.00005678184,0.0000038556564,0.0000019145257,0.000021746544,0.000009233321,0.98692906,0.0011136152,0.011582434,0.0002641063,0.0000056790523],"about_ca_topic_score_codex":0.003401182,"about_ca_topic_score_gemma":0.0026343174,"teacher_disagreement_score":0.003401182,"about_ca_system_score_codex":0.0010113616,"about_ca_system_score_gemma":0.0011193654,"threshold_uncertainty_score":0.009478927},"labels":[],"label_agreement":null},{"id":"W2133463485","doi":"10.1109/tvt.2002.801746","title":"A linear MMSE receiver for multipath asynchronous random-CDMA with chip pulse shaping","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Code division multiple access; Multipath propagation; Rake receiver; Computer science; Electronic engineering; Matched filter; Asynchronous communication; Spread spectrum; Minimum mean square error; Bit error rate; Multipath mitigation; Multiuser detection; Process gain; Algorithm; Engineering; Telecommunications; Decoding methods; Mathematics; Estimator; Detector; Channel (broadcasting); Statistics","score_opus":0.0378034598111343,"score_gpt":0.2680944950002032,"score_spread":0.2302910351890689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133463485","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010490083,0.00029749874,0.9869543,0.000072919596,0.000031257343,0.000031164327,0.000020538555,0.00055620173,0.0015459607],"genre_scores_gemma":[0.39208636,0.00044684144,0.5997656,0.00019175041,0.00012281006,0.00011266847,0.0000961218,0.000042779753,0.0071350876],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994677,0.00010723743,0.000023007731,0.00007901056,0.00027737394,0.00004567694],"domain_scores_gemma":[0.99948823,0.00018783326,0.000059857946,0.000056663233,0.0001935067,0.000013992362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006776271,0.0004362144,0.00038886713,0.0002702093,0.0002664146,0.00050375436,0.00064276485,0.0006447287,0.0010303544],"category_scores_gemma":[0.0015313048,0.00029985953,0.00021033945,0.0001985023,0.00028322858,0.00050548447,0.00034692505,0.00045927594,0.0010802113],"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":[0.000547331,0.0001687633,0.0030459072,0.00038651458,0.00015119984,0.00027162634,0.00021640374,0.14656956,0.25959668,0.02573326,0.0028901284,0.56042266],"study_design_scores_gemma":[0.00008057014,0.0008390152,0.0012226881,0.000047678222,0.00011708395,0.00071538315,0.000030473086,0.84053093,0.13747507,0.0032199596,0.015674043,0.000047078513],"about_ca_topic_score_codex":0.0005181412,"about_ca_topic_score_gemma":0.0010145342,"teacher_disagreement_score":0.0010303544,"about_ca_system_score_codex":0.00033867854,"about_ca_system_score_gemma":0.00049728743,"threshold_uncertainty_score":0.0035836697},"labels":[],"label_agreement":null},{"id":"W2133878021","doi":"10.1109/tvt.2006.874145","title":"Voice capacity analysis of WLAN with unbalanced traffic","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":195,"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 Victoria; University of Waterloo","funders":"","keywords":"Codec; Computer network; Computer science; Voice over IP; Wireless; Access control; Voice communication; Capacity planning; Telecommunications; The Internet","score_opus":0.008142555660088056,"score_gpt":0.21334983137383662,"score_spread":0.20520727571374855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133878021","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":[0.45837075,0.0012504547,0.51813066,0.0005265934,0.000046527155,0.00006804271,0.0003816098,0.00081616483,0.020409264],"genre_scores_gemma":[0.9960829,0.00023436213,0.0027198633,0.00003609961,0.000026043363,0.000030393758,0.000081810285,0.000031695752,0.0007567337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993069,0.00018577719,0.000019181618,0.000075879245,0.00021075176,0.00020150775],"domain_scores_gemma":[0.99792755,0.0012400122,0.00019398441,0.00010597463,0.00048116889,0.00005117302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007603749,0.00063379493,0.0005719641,0.0011434752,0.00037158412,0.0007655461,0.00093923305,0.0007383293,0.0009664324],"category_scores_gemma":[0.004964124,0.0002545296,0.00035099412,0.00084956695,0.0006048036,0.0010245778,0.0006269828,0.0004790143,0.00028927476],"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":[0.00006456235,0.00002422571,0.0012380756,0.00003658915,0.000014371778,0.00025082246,0.000065174674,0.97604877,0.005110531,0.010456809,0.00037934238,0.006310757],"study_design_scores_gemma":[9.806487e-7,0.000005483104,0.00016318471,0.0000021454211,0.000002748472,0.000021076352,0.000009699325,0.9983582,0.00037713605,0.0009585918,0.00009753891,0.0000031747575],"about_ca_topic_score_codex":0.0069852197,"about_ca_topic_score_gemma":0.0020567705,"teacher_disagreement_score":0.0069852197,"about_ca_system_score_codex":0.0016018508,"about_ca_system_score_gemma":0.00066620915,"threshold_uncertainty_score":0.013889134},"labels":[],"label_agreement":null},{"id":"W2134637381","doi":"10.1109/tvt.2005.844644","title":"Spreading Code Selection for Multiple Chip Rate DS-CDMA Systems","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","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":"University of British Columbia","funders":"","keywords":"Chip; Code division multiple access; Computer science; Interference (communication); Code (set theory); Gold code; Electronic engineering; Bit error rate; Multiuser detection; Code rate; Algorithm; Spread spectrum; Telecommunications; Engineering; Decoding methods; Channel (broadcasting)","score_opus":0.026257380252790792,"score_gpt":0.28033458109307496,"score_spread":0.2540772008402842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134637381","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":[0.04556394,0.0012546902,0.94693017,0.0002392469,0.000054738914,0.000050924373,0.000040515202,0.00012959488,0.005736119],"genre_scores_gemma":[0.90831745,0.002229673,0.08458519,0.00015630029,0.000115291914,0.00014150642,0.000093204675,0.00006556492,0.004295668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992269,0.00025442327,0.000021821297,0.00006705932,0.000350415,0.00007940392],"domain_scores_gemma":[0.9982961,0.0011316215,0.00019720168,0.000083814375,0.0002640655,0.000027234197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007937677,0.0009862375,0.00045108914,0.00046690635,0.00036955,0.0006513027,0.0004485539,0.00052036,0.0015662138],"category_scores_gemma":[0.0040626875,0.0003020499,0.0003861665,0.00073854043,0.0007753389,0.0007451171,0.00042006595,0.00060125714,0.0003681798],"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":[0.000052194893,0.000021543661,0.001054304,0.0001348067,0.000047247242,0.0003061391,0.000120075216,0.860171,0.009646668,0.10815044,0.00068539276,0.019610133],"study_design_scores_gemma":[0.000007494432,0.000021781825,0.00017574655,0.000009791489,0.000009469118,0.000102976395,0.000013171917,0.9858602,0.0013032542,0.011726944,0.0007609891,0.000008221625],"about_ca_topic_score_codex":0.002500752,"about_ca_topic_score_gemma":0.0023867404,"teacher_disagreement_score":0.002500752,"about_ca_system_score_codex":0.0009955245,"about_ca_system_score_gemma":0.00084139704,"threshold_uncertainty_score":0.0072231293},"labels":[],"label_agreement":null},{"id":"W2134971686","doi":"10.1109/tvt.2011.2158012","title":"Aggregate Interference Distribution From Large Wireless Networks With Correlated Shadowing: An Analytical–Numerical–Simulation Approach","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"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; Extrapolation; Monte Carlo method; Interference (communication); Cholesky decomposition; Mathematical optimization; Algorithm; Channel (broadcasting); Mathematics; Telecommunications; Statistics","score_opus":0.01502949586512019,"score_gpt":0.2174256092038066,"score_spread":0.2023961133386864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134971686","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":[0.05819691,0.0004054821,0.9296023,0.00052023045,0.000040683484,0.00006878712,0.00008660615,0.00030577753,0.010773094],"genre_scores_gemma":[0.8602899,0.00078860385,0.13475364,0.00017310379,0.00007767394,0.0002194651,0.00013254114,0.00009411974,0.0034710355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968314,0.00013940032,0.000012085319,0.000025796646,0.00010321563,0.000036458572],"domain_scores_gemma":[0.9983637,0.0011227219,0.00016250259,0.000111531845,0.00018993314,0.000049631057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000990431,0.0006769368,0.00064030115,0.0007538365,0.00054930954,0.0009234423,0.0010018421,0.00093294395,0.0013089572],"category_scores_gemma":[0.0030704164,0.0003363781,0.0005537661,0.00085187034,0.0009079371,0.00112578,0.00092918746,0.0007841214,0.00018482827],"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":[0.0000059288172,0.000011359161,0.00017311546,0.000010018786,0.0000052726155,0.000023073566,0.000018131768,0.99102145,0.00033176967,0.007147756,0.00009165334,0.0011605488],"study_design_scores_gemma":[0.0000010697008,0.000001905141,0.000015585123,0.0000013087013,8.1183515e-7,0.000003399638,0.0000030536562,0.99872595,0.000061292165,0.0011110804,0.00007336313,0.0000012346632],"about_ca_topic_score_codex":0.00658428,"about_ca_topic_score_gemma":0.0037385626,"teacher_disagreement_score":0.00658428,"about_ca_system_score_codex":0.0010968529,"about_ca_system_score_gemma":0.0007927887,"threshold_uncertainty_score":0.013091922},"labels":[],"label_agreement":null},{"id":"W2135146221","doi":"10.1109/tvt.2007.907075","title":"Adaptive Hybrid ARQ Systems With BCJR Decoding","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"University of Alberta","funders":"","keywords":"Hybrid automatic repeat request; Retransmission; Algorithm; Computer science; Turbo code; Decoding methods; Additive white Gaussian noise; BCJR algorithm; Low-density parity-check code; Throughput; Channel (broadcasting); Mathematics; Telecommunications link; Wireless; Error floor; Transmission (telecommunications); Computer network; Telecommunications","score_opus":0.014267528277375622,"score_gpt":0.20728307952237032,"score_spread":0.1930155512449947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135146221","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":[0.06484837,0.00056732306,0.9277367,0.00016915401,0.00009790462,0.00015637239,0.00008170523,0.0021152694,0.00422725],"genre_scores_gemma":[0.6014216,0.0002257755,0.39417127,0.00016554548,0.00013438218,0.00016425969,0.00011984352,0.00007464339,0.0035227512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99748176,0.0007997104,0.00013755179,0.00037789016,0.0010295471,0.00017357692],"domain_scores_gemma":[0.9962165,0.0017091561,0.00034834558,0.0006777388,0.0009678292,0.00008041933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017737462,0.0007634156,0.0009763458,0.0007565673,0.0007446063,0.0012412203,0.0019824235,0.0011428408,0.001937861],"category_scores_gemma":[0.003970212,0.0004377369,0.0004195121,0.0009313311,0.00090637396,0.0013496347,0.0012966916,0.0009542288,0.0010340139],"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":[0.001036135,0.00033343356,0.0022301388,0.0003112031,0.00026151928,0.00045635572,0.0006829077,0.4954286,0.08805524,0.041309748,0.003701662,0.36619306],"study_design_scores_gemma":[0.000080223064,0.00021081389,0.000187044,0.0000090257145,0.000027069334,0.00013673134,0.000022387014,0.9810941,0.012516531,0.0040536486,0.0016220944,0.000040313273],"about_ca_topic_score_codex":0.002267213,"about_ca_topic_score_gemma":0.0025013755,"teacher_disagreement_score":0.002267213,"about_ca_system_score_codex":0.00060836494,"about_ca_system_score_gemma":0.0007759635,"threshold_uncertainty_score":0.009380579},"labels":[],"label_agreement":null},{"id":"W2135500117","doi":"10.1109/tvt.2009.2037969","title":"Packet Scheduling and Fairness for Multiuser MIMO Systems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":28,"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":"Fairness measure; Computer science; Fair queuing; Computer network; Network scheduler; Network packet; Scheduling (production processes); Quality of service; Telecommunications link; Max-min fairness; Maximum throughput scheduling; Base station; Proportionally fair; Transmission delay; Processing delay; MIMO; Real-time computing; Round-robin scheduling; Wireless; Resource allocation; Channel (broadcasting); Throughput; Fair-share scheduling; Engineering; Telecommunications","score_opus":0.007220586631696357,"score_gpt":0.21607308187587876,"score_spread":0.2088524952441824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135500117","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038498554,0.0024014623,0.9484971,0.0005083557,0.0003375611,0.00007123228,0.00006897113,0.00020284893,0.009413921],"genre_scores_gemma":[0.9504583,0.0014385027,0.04303261,0.00022658001,0.00047678498,0.000093655646,0.000043948003,0.000045046825,0.004184647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980336,0.000590638,0.000076170494,0.00024020064,0.0007723904,0.000287062],"domain_scores_gemma":[0.99571675,0.0029033131,0.00038724722,0.00029514715,0.00056119653,0.00013640185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029840104,0.0006007703,0.00071940204,0.00050836895,0.0007398151,0.0014536884,0.00089639466,0.0007195886,0.0014710439],"category_scores_gemma":[0.007988365,0.0002635688,0.00034040323,0.00066982745,0.0010739276,0.0015060647,0.00080620154,0.00087241293,0.00027737513],"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":[0.0002515905,0.00008651839,0.0016760315,0.00015980417,0.000056744746,0.00031540843,0.00022626558,0.642014,0.0059373383,0.30931163,0.0016656741,0.038299],"study_design_scores_gemma":[0.000016692014,0.000044152883,0.00036062027,0.000008496454,0.000010620872,0.00007256589,0.000023848721,0.9408869,0.0009062116,0.056111477,0.0015443474,0.000014024084],"about_ca_topic_score_codex":0.0030991605,"about_ca_topic_score_gemma":0.001532445,"teacher_disagreement_score":0.0030991605,"about_ca_system_score_codex":0.0019618678,"about_ca_system_score_gemma":0.0015530585,"threshold_uncertainty_score":0.015781164},"labels":[],"label_agreement":null},{"id":"W2136268549","doi":"10.1109/tvt.2007.912326","title":"Analysis of Common Radio Resource Management Scheme for End-to-End QoS Support in Multiservice Heterogeneous Wireless Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer network; Radio resource management; Computer science; Quality of service; Wireless network; CDMA2000; Wireless; Telecommunications","score_opus":0.008816437854186789,"score_gpt":0.21953137313898854,"score_spread":0.21071493528480176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136268549","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":[0.10422506,0.0009592224,0.8816161,0.00042668812,0.00009587234,0.00017104087,0.000045126508,0.00029281675,0.012168029],"genre_scores_gemma":[0.96476114,0.00035518644,0.03261089,0.000052872856,0.0000301407,0.000052464547,0.000026087664,0.000027323422,0.0020838587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988194,0.0004074442,0.000032252716,0.00009168321,0.00045765028,0.00019141413],"domain_scores_gemma":[0.99816716,0.0010416962,0.00018307052,0.000115417846,0.00042780387,0.0000648178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002227706,0.0005683142,0.00046877738,0.00081933185,0.0006484752,0.0010446243,0.0008955952,0.0004898396,0.0024872618],"category_scores_gemma":[0.0038200968,0.00020920362,0.00040494985,0.0007961493,0.00078884483,0.00091635785,0.0006502436,0.00039859363,0.00019653463],"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":[0.00012759495,0.00006848456,0.0011146374,0.00007224317,0.00004401681,0.00014407776,0.0000678935,0.8697587,0.007688101,0.0768896,0.0017699698,0.042254724],"study_design_scores_gemma":[0.0000017670917,0.000015149335,0.00008754181,0.0000025329975,0.000004272255,0.000014705451,0.000007122813,0.99818146,0.0004179197,0.0010766138,0.00018803921,0.00000283606],"about_ca_topic_score_codex":0.0062346994,"about_ca_topic_score_gemma":0.005931983,"teacher_disagreement_score":0.0062346994,"about_ca_system_score_codex":0.0035775206,"about_ca_system_score_gemma":0.0012822041,"threshold_uncertainty_score":0.02595681},"labels":[],"label_agreement":null},{"id":"W2137277132","doi":"10.1109/tvt.2007.897662","title":"Log-Shifted Gamma Approximation to Lognormal Sum Distributions","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Log-normal distribution; Cumulative distribution function; Probability density function; Mathematics; Range (aeronautics); Moment (physics); Applied mathematics; Standard deviation; Random variable; Statistics; Gamma distribution; Function (biology); Matching (statistics); Statistical physics; Physics; Quantum mechanics","score_opus":0.03203451385470574,"score_gpt":0.32341508819750353,"score_spread":0.2913805743427978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137277132","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":[0.009198673,0.00038045843,0.9880278,0.000086716136,0.0000468486,0.000017388638,0.00006249695,0.00034689598,0.0018327046],"genre_scores_gemma":[0.6970865,0.002633878,0.29022178,0.00053088285,0.00024042222,0.0002451552,0.0005442769,0.00040152634,0.008095611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895644,0.00031286426,0.00003954,0.00018423272,0.00036985095,0.00013706273],"domain_scores_gemma":[0.997951,0.0009302053,0.00021190986,0.00031745888,0.0005250615,0.00006435553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012405585,0.0011572972,0.0007532666,0.0013999236,0.00041261362,0.001167326,0.0018518937,0.0009636231,0.0020370968],"category_scores_gemma":[0.006653235,0.00040509022,0.00082394766,0.0016643933,0.00092280644,0.0023385854,0.0009798403,0.0015574908,0.0013084369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014453732,0.000034465513,0.0034734407,0.000111624184,0.00006035517,0.0006160562,0.00019793249,0.8018917,0.0044555073,0.12101895,0.0026788348,0.06531666],"study_design_scores_gemma":[0.0000055518058,0.0000173068,0.00032926048,0.000015691496,0.000011209075,0.0003069231,0.000029681963,0.9651432,0.0007785599,0.031238256,0.002106632,0.000017635459],"about_ca_topic_score_codex":0.0040294724,"about_ca_topic_score_gemma":0.0024754417,"teacher_disagreement_score":0.0040294724,"about_ca_system_score_codex":0.0011651353,"about_ca_system_score_gemma":0.0007707047,"threshold_uncertainty_score":0.008453727},"labels":[],"label_agreement":null},{"id":"W2137433440","doi":"10.1109/tvt.2007.891467","title":"Least Squares Approximations to Lognormal Sum Distributions","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":39,"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":"Mathematics; Log-normal distribution; Logarithm; Linear approximation; Probability density function; Applied mathematics; Range (aeronautics); Approximation theory; Least-squares function approximation; Cumulative distribution function; Function (biology); Mathematical analysis; Statistics; Physics","score_opus":0.01649180936011668,"score_gpt":0.2787652946075907,"score_spread":0.262273485247474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137433440","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":[0.002062226,0.00008425016,0.9970714,0.00003498734,0.000014865834,0.0000071631416,0.000015906757,0.00016742256,0.00054175913],"genre_scores_gemma":[0.23425376,0.0010592211,0.7545678,0.00026008117,0.00016003322,0.00019975784,0.00038996158,0.0004624547,0.008646946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984333,0.0005750036,0.00006762736,0.00023976988,0.0005731783,0.00011104916],"domain_scores_gemma":[0.9951786,0.0031972772,0.00031061727,0.00051042327,0.00074229785,0.000060871294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024917556,0.00107005,0.00085232465,0.0011114918,0.00047811927,0.0012356237,0.0014684253,0.0008910495,0.0022695798],"category_scores_gemma":[0.013109619,0.00052095606,0.0007526485,0.0016053154,0.00096179056,0.002195061,0.0010597722,0.0019302691,0.0016824957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008527589,0.000042623695,0.0010702661,0.00014219555,0.00006241268,0.00018367633,0.0001797426,0.8349543,0.004107737,0.07212527,0.002002972,0.08504359],"study_design_scores_gemma":[0.0000028291201,0.000007861313,0.00007859608,0.000006913161,0.0000034675868,0.00004977837,0.000014009522,0.98799384,0.0006343069,0.010412527,0.00078857585,0.000007287868],"about_ca_topic_score_codex":0.003618433,"about_ca_topic_score_gemma":0.0032068582,"teacher_disagreement_score":0.003618433,"about_ca_system_score_codex":0.00082215166,"about_ca_system_score_gemma":0.0008784964,"threshold_uncertainty_score":0.013177812},"labels":[],"label_agreement":null},{"id":"W2138035739","doi":"10.1109/tvt.2003.808803","title":"Application of near-field optimum microphone arrays to hands-free mobile telephony","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":45,"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; National Research Council Canada; Institute for Microstructural Sciences","funders":"","keywords":"Beamforming; Microphone array; Microphone; Adaptive beamformer; Acoustics; Noise (video); Isotropy; Noise-canceling microphone; Computer science; Speech enhancement; Pickup; Electronic engineering; Noise measurement; Engineering; Background noise; Loudspeaker; Physics; Noise reduction; Optics","score_opus":0.004830837087788503,"score_gpt":0.21973716880230423,"score_spread":0.21490633171451573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138035739","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":[0.041759294,0.0007304032,0.95310396,0.00018218161,0.000057680354,0.00003085641,0.000034585097,0.0004513667,0.0036497633],"genre_scores_gemma":[0.5483065,0.001156547,0.44638944,0.0001388758,0.00015208541,0.000059444807,0.00007958312,0.00009725913,0.0036202983],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994784,0.00020616049,0.000018961473,0.000076675344,0.00018111819,0.000038749746],"domain_scores_gemma":[0.99942553,0.00032372426,0.00004548276,0.00004303885,0.00014277182,0.000019545965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032023477,0.00054213125,0.0003981237,0.00025256522,0.00018895647,0.0003814608,0.0002741461,0.00066443277,0.001681558],"category_scores_gemma":[0.0018956475,0.00037579614,0.00025626627,0.00019790945,0.0003256146,0.00041425985,0.00036855854,0.00028404663,0.0008798082],"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":[0.00052430626,0.000067016445,0.0011598816,0.00030903504,0.00009839052,0.00035571482,0.00018643386,0.11781233,0.49952713,0.004042366,0.0012879015,0.3746295],"study_design_scores_gemma":[0.000114749564,0.00089668017,0.004228879,0.000056268884,0.0001409039,0.002250746,0.00012901738,0.461814,0.5072498,0.0062174164,0.01676346,0.00013804845],"about_ca_topic_score_codex":0.00026971922,"about_ca_topic_score_gemma":0.0006276892,"teacher_disagreement_score":0.001681558,"about_ca_system_score_codex":0.00015643756,"about_ca_system_score_gemma":0.00017460476,"threshold_uncertainty_score":0.005625427},"labels":[],"label_agreement":null},{"id":"W2138552207","doi":"10.1109/tvt.2008.921617","title":"Performance Prediction for Energy Detection of Unknown Signals","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":50,"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 Saskatchewan","funders":"","keywords":"Energy (signal processing); Detection theory; Detector; Probability density function; Statistical power; Noise (video); Algorithm; Signal-to-noise ratio (imaging); Sliding window protocol; SIGNAL (programming language); Noise power; Computer science; Detection threshold; Power (physics); Mathematics; Statistics; Window (computing); Artificial intelligence; Physics; Telecommunications; Real-time computing","score_opus":0.011312100624367527,"score_gpt":0.20236745132352849,"score_spread":0.19105535069916096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138552207","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":[0.21703762,0.0016389815,0.7748358,0.000685158,0.000112056725,0.0000440981,0.00012267464,0.000770422,0.0047531705],"genre_scores_gemma":[0.983414,0.00037418792,0.014900273,0.000059191858,0.00003742113,0.000021366659,0.00009474008,0.00005682613,0.0010420087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982356,0.00048290504,0.000054755725,0.00034415233,0.0006020216,0.0002805645],"domain_scores_gemma":[0.9867821,0.010411879,0.0006861101,0.0006091206,0.0013340855,0.00017668428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037091782,0.0010697361,0.0008992459,0.0007330383,0.00039297686,0.0012557618,0.0009796867,0.0010417531,0.0011712349],"category_scores_gemma":[0.02675798,0.0003488779,0.00031272758,0.00047055635,0.0014176969,0.001788517,0.001006928,0.001230076,0.0005648812],"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":[0.00034107134,0.00006197427,0.003940991,0.00008015907,0.00003636053,0.00014341642,0.00012915957,0.92511714,0.0054678028,0.022709897,0.0008112698,0.04116078],"study_design_scores_gemma":[0.0000039069746,0.00004578233,0.00057323236,0.000010292555,0.000005260945,0.000039324703,0.000013194619,0.99416554,0.0018820236,0.0031276357,0.00012199101,0.000011713041],"about_ca_topic_score_codex":0.0032334358,"about_ca_topic_score_gemma":0.0014593975,"teacher_disagreement_score":0.0037091782,"about_ca_system_score_codex":0.0014754611,"about_ca_system_score_gemma":0.0009617506,"threshold_uncertainty_score":0.019616246},"labels":[],"label_agreement":null},{"id":"W2138978911","doi":"10.1109/tvt.2010.2040755","title":"Performance Analysis of Fixed-Gain Amplify-and-Forward Relaying With MRC","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":19,"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 Saskatchewan","funders":"","keywords":"Fading; Upper and lower bounds; Relay; Nakagami distribution; Maximal-ratio combining; Topology (electrical circuits); Algorithm; Computer science; Statistics; Power (physics); Channel (broadcasting); Mathematics; Combinatorics; Telecommunications; Physics; Mathematical analysis","score_opus":0.011504477149986123,"score_gpt":0.23698736681099464,"score_spread":0.22548288966100852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138978911","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":[0.5384942,0.005942957,0.4085728,0.0011745377,0.00011777822,0.0001398728,0.00068303087,0.00084896974,0.04402585],"genre_scores_gemma":[0.99189454,0.0008814766,0.0053586564,0.000039893992,0.000042944088,0.000025221152,0.00009198052,0.000022559632,0.0016427846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790096,0.0006479339,0.00008212924,0.00023192109,0.0007015142,0.00043558798],"domain_scores_gemma":[0.9934297,0.004167486,0.00063775486,0.00038968815,0.0012369375,0.0001384034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001977762,0.0015964197,0.0012229903,0.0011125676,0.0005449885,0.0014014989,0.0010652418,0.0013657978,0.0019367703],"category_scores_gemma":[0.0075247483,0.0004131936,0.0006146023,0.0011037451,0.001435077,0.0011283578,0.0010959493,0.00073403196,0.0007209706],"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":[0.0005325386,0.000044966015,0.0022326922,0.00024515972,0.0001447175,0.00080657384,0.00020646762,0.9348872,0.019412415,0.02630513,0.0007366877,0.014445525],"study_design_scores_gemma":[0.00002360649,0.00023224895,0.0012871638,0.000031843498,0.000079125355,0.00039048394,0.00006313442,0.98778987,0.0051735705,0.004430252,0.00046414608,0.000034551947],"about_ca_topic_score_codex":0.006208593,"about_ca_topic_score_gemma":0.0028598842,"teacher_disagreement_score":0.006208593,"about_ca_system_score_codex":0.0020935037,"about_ca_system_score_gemma":0.0014357181,"threshold_uncertainty_score":0.015189528},"labels":[],"label_agreement":null},{"id":"W2139647977","doi":"10.1109/tvt.2007.912596","title":"Robust OFDMA Uplink Synchronization by Exploiting the Variance of Carrier Frequency Offsets","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subcarrier; Carrier frequency offset; Frequency offset; Cyclic prefix; Orthogonal frequency-division multiplexing; Telecommunications link; Algorithm; Fading; Orthogonal frequency-division multiple access; Frequency-division multiple access; Computer science; Mathematics; Signal-to-interference-plus-noise ratio; Statistics; Electronic engineering; Estimator; Telecommunications; Engineering; Decoding methods; Physics","score_opus":0.01478349551450086,"score_gpt":0.2103167199376542,"score_spread":0.19553322442315332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139647977","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":[0.02048315,0.0004767644,0.9761668,0.0000724774,0.000047414127,0.000014059633,0.000060553088,0.00030933585,0.002369555],"genre_scores_gemma":[0.66186976,0.00090991677,0.33393607,0.0000868336,0.00018983358,0.000063857246,0.00028858357,0.00013397372,0.002521209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949205,0.000100349374,0.000027218706,0.00012210463,0.00020569509,0.00005271515],"domain_scores_gemma":[0.99942017,0.00026694036,0.000111577596,0.00008708645,0.00009944703,0.000014749376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000578723,0.00058318925,0.0005906769,0.0004899998,0.00033746942,0.0007183757,0.00043943684,0.0003844643,0.0006104742],"category_scores_gemma":[0.0031591528,0.00029491325,0.0003262544,0.000853872,0.00032896007,0.00071072794,0.00062783906,0.00046266243,0.0004215124],"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":[0.00028152534,0.000058127014,0.00259624,0.00014886873,0.00013512486,0.0001935685,0.00012703142,0.55816525,0.059178777,0.033262026,0.0019286876,0.34392482],"study_design_scores_gemma":[0.000010282108,0.000039650487,0.0010709652,0.00001548744,0.00002865961,0.00012326305,0.0000122862775,0.97944164,0.012895332,0.004246646,0.0020932255,0.000022673454],"about_ca_topic_score_codex":0.0015620802,"about_ca_topic_score_gemma":0.0024412342,"teacher_disagreement_score":0.0015620802,"about_ca_system_score_codex":0.0004072874,"about_ca_system_score_gemma":0.00087504735,"threshold_uncertainty_score":0.0031059384},"labels":[],"label_agreement":null},{"id":"W2139850286","doi":"10.1109/tvt.2009.2039814","title":"Cross-Layer Scheduling for OFDMA Amplify-and-Forward Relay Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":103,"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":"","keywords":"Goodput; Computer science; Channel state information; Subcarrier; Telecommunications link; Relay; Scheduling (production processes); Orthogonal frequency-division multiple access; Diversity gain; Fading; Orthogonal frequency-division multiplexing; Frequency-division multiple access; Physical layer; Computer network; Channel (broadcasting); Wireless; Mathematical optimization; Throughput; Power (physics); Telecommunications; Mathematics","score_opus":0.022209943774428306,"score_gpt":0.2931740394411959,"score_spread":0.2709640956667676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139850286","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":[0.06725103,0.002392861,0.92433244,0.00034701423,0.00023056123,0.00007244671,0.00008157063,0.000215937,0.005076207],"genre_scores_gemma":[0.91610074,0.0012390981,0.07961821,0.0001460639,0.00013178342,0.000098554876,0.00006497402,0.000051849747,0.0025486436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915016,0.00037070212,0.00003512089,0.00013047339,0.00016664264,0.00014684664],"domain_scores_gemma":[0.99817157,0.0010927295,0.00024589262,0.00010661706,0.0002892511,0.00009397355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002079189,0.00099603,0.00083736685,0.000446101,0.0007057132,0.001439701,0.0008311662,0.0006208204,0.0017931749],"category_scores_gemma":[0.0035219458,0.00045557859,0.0004454933,0.00070754957,0.0007969015,0.0011166534,0.0010388285,0.00079508155,0.00033884327],"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":[0.00008662012,0.000059546765,0.00048840273,0.00008995239,0.000042283333,0.00016902159,0.000079182566,0.95691675,0.0034856135,0.023329262,0.0009043593,0.014348994],"study_design_scores_gemma":[0.000007342233,0.000029084076,0.00006749667,0.0000033567749,0.000008151569,0.000023833729,0.0000137768,0.9963736,0.00051064254,0.0025463516,0.00041153393,0.0000046979494],"about_ca_topic_score_codex":0.0036644689,"about_ca_topic_score_gemma":0.003528562,"teacher_disagreement_score":0.0036644689,"about_ca_system_score_codex":0.0015780072,"about_ca_system_score_gemma":0.001716394,"threshold_uncertainty_score":0.011449277},"labels":[],"label_agreement":null},{"id":"W2140169030","doi":"10.1109/tvt.2003.816631","title":"On the SER and spectral analyses of A-law companded multicarrier modulation","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Companding; Orthogonal frequency-division multiplexing; Electronic engineering; Modulation (music); Reduction (mathematics); Spectral efficiency; Bit error rate; Computer science; Quadrature amplitude modulation; Frequency-division multiplexing; Telecommunications; Engineering; Mathematics; Channel (broadcasting); Physics; Acoustics","score_opus":0.024721900988389323,"score_gpt":0.26526886813810796,"score_spread":0.24054696714971863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140169030","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10985706,0.002736416,0.8719566,0.00022785283,0.00012951363,0.000041144292,0.00005314428,0.00044738676,0.014550968],"genre_scores_gemma":[0.9315389,0.0025064137,0.0626492,0.000098039876,0.00016878091,0.00002612708,0.0000723071,0.00005098738,0.0028892916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999648,0.000080737904,0.000018406012,0.000043851247,0.00018265084,0.000026377213],"domain_scores_gemma":[0.9982134,0.001115049,0.00016163861,0.00015222617,0.0003414014,0.000016319815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005528458,0.0005409499,0.00035154732,0.0005692944,0.00017785736,0.00046454795,0.00031617214,0.00045189177,0.0011084445],"category_scores_gemma":[0.003232655,0.00020707161,0.00031224737,0.00045383567,0.0007338546,0.0006497264,0.0002237884,0.00070329383,0.0003656254],"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":[0.0005098164,0.00014240605,0.0019446035,0.0005931305,0.00011254893,0.0016487858,0.0008359888,0.52490187,0.18934947,0.10231173,0.0017795621,0.17587014],"study_design_scores_gemma":[0.000007511459,0.00020356369,0.0010830214,0.00003338549,0.000025851603,0.0005554472,0.000040166873,0.969876,0.019668711,0.006580457,0.0019030744,0.000022830152],"about_ca_topic_score_codex":0.0008883198,"about_ca_topic_score_gemma":0.00049403944,"teacher_disagreement_score":0.0011084445,"about_ca_system_score_codex":0.00031803473,"about_ca_system_score_gemma":0.00023325124,"threshold_uncertainty_score":0.0037080646},"labels":[],"label_agreement":null},{"id":"W2140787501","doi":"10.1109/tvt.2005.863426","title":"A Node-Cooperative ARQ Scheme for Wireless Ad Hoc Networks","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":190,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retransmission; Computer science; Jitter; Automatic repeat request; Computer network; Node (physics); Throughput; Wireless ad hoc network; Markov process; Wireless network; Wireless; Hybrid automatic repeat request; Real-time computing; Network packet; Engineering; Mathematics; Telecommunications link; Telecommunications; Statistics","score_opus":0.016019958588718703,"score_gpt":0.2494040336984629,"score_spread":0.23338407510974418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140787501","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":[0.044004455,0.0010690115,0.952074,0.00013681599,0.0000980382,0.000120644836,0.000025903839,0.0004385432,0.002032616],"genre_scores_gemma":[0.7948862,0.0007202009,0.20022628,0.00015985908,0.000075006654,0.00015506356,0.00005933509,0.0000236435,0.0036944489],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955994,0.00013955537,0.000017957458,0.00007231157,0.0001736816,0.000036472433],"domain_scores_gemma":[0.99939895,0.00021432323,0.00006708122,0.00012990301,0.00015882723,0.00003092316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089430285,0.00041626743,0.0003530116,0.0003138276,0.000484002,0.00028032027,0.0011794526,0.0005859712,0.0006275938],"category_scores_gemma":[0.0011882053,0.00016527098,0.0004091343,0.00032434153,0.00038946627,0.0006862064,0.00044949708,0.0005175977,0.00028056678],"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":[0.00038706165,0.00038418398,0.0016407184,0.00045539343,0.00023497935,0.00094423624,0.000842396,0.302975,0.19265856,0.13079959,0.0042096307,0.36446822],"study_design_scores_gemma":[0.00004635444,0.00054301927,0.00048451868,0.000010176379,0.000067666224,0.00061740587,0.00004319036,0.9671449,0.012954929,0.009274664,0.008765961,0.000047179794],"about_ca_topic_score_codex":0.0008243977,"about_ca_topic_score_gemma":0.0011397337,"teacher_disagreement_score":0.0011794526,"about_ca_system_score_codex":0.00027599366,"about_ca_system_score_gemma":0.00047050498,"threshold_uncertainty_score":0.0047296286},"labels":[],"label_agreement":null},{"id":"W2140889508","doi":"10.1109/tvt.2003.814222","title":"Location of mobile terminals using time measurements and survey points","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":128,"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","funders":"","keywords":"Non-line-of-sight propagation; Estimator; Microcell; Shadow mapping; Robustness (evolution); Computer science; RSS; Geolocation; Cramér–Rao bound; Kernel density estimation; Upper and lower bounds; Time of arrival; Algorithm; Statistics; Mathematics; Telecommunications; Wireless; Artificial intelligence","score_opus":0.02232426975619553,"score_gpt":0.24056441222988456,"score_spread":0.21824014247368903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140889508","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":[0.20244956,0.0004200306,0.79400134,0.00009227051,0.000049282975,0.00003194152,0.00026658468,0.00076192315,0.0019271133],"genre_scores_gemma":[0.89880913,0.0003510787,0.09928893,0.000016822456,0.0000370607,0.000042845662,0.00040431885,0.00001785007,0.00103189],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966776,0.00011017726,0.000019778161,0.0000726261,0.00010412042,0.000025524107],"domain_scores_gemma":[0.9991617,0.00021339221,0.00019150367,0.00015283082,0.0002472373,0.000033295742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035594316,0.00046587893,0.00032136973,0.0011810052,0.00020208857,0.00061686867,0.00041026104,0.00066561124,0.00041555476],"category_scores_gemma":[0.0031516685,0.00019297107,0.0003175678,0.001268109,0.00025659974,0.001084184,0.00066150894,0.00032709652,0.0005066659],"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":[0.00060677045,0.00008327104,0.028975084,0.000274623,0.00013700259,0.00033894242,0.00030902438,0.41032523,0.08187385,0.00951287,0.0013943845,0.46616885],"study_design_scores_gemma":[0.00003758299,0.00029910257,0.01861964,0.000038910697,0.0000777408,0.00049276726,0.00016437336,0.94207615,0.029368326,0.004274295,0.0044736685,0.00007744371],"about_ca_topic_score_codex":0.0016062312,"about_ca_topic_score_gemma":0.0022466006,"teacher_disagreement_score":0.0016062312,"about_ca_system_score_codex":0.00024817968,"about_ca_system_score_gemma":0.00029453394,"threshold_uncertainty_score":0.003193736},"labels":[],"label_agreement":null},{"id":"W2141372745","doi":"10.1109/tvt.2010.2041804","title":"Error-Rate Analysis for Bit-Loaded Coded MIMO-OFDM","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","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":"Blackberry (Canada); University of British Columbia","funders":"","keywords":"Interleaving; Orthogonal frequency-division multiplexing; Bit error rate; Computer science; MIMO; MIMO-OFDM; Pairwise error probability; Fading; Algorithm; Link adaptation; Convolutional code; Transmission (telecommunications); Channel (broadcasting); Electronic engineering; Decoding methods; Telecommunications; Engineering","score_opus":0.013402351906382361,"score_gpt":0.2591535528326138,"score_spread":0.24575120092623146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141372745","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":[0.044899974,0.0007429127,0.9497266,0.00013121619,0.00004683354,0.000046128516,0.00010127154,0.00030482243,0.0040003187],"genre_scores_gemma":[0.8746175,0.0014232643,0.11938829,0.00014536163,0.00008954762,0.0001463555,0.00026426298,0.00018194897,0.0037434313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768174,0.00051523873,0.0000982182,0.00017981557,0.001351185,0.00017372235],"domain_scores_gemma":[0.99199474,0.005147747,0.00052835204,0.0007958902,0.0014772248,0.000055975845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026412848,0.0010459054,0.00066538516,0.0010586153,0.00034322898,0.0008287241,0.0008739708,0.0006361142,0.001966697],"category_scores_gemma":[0.013707349,0.00022476497,0.00042026723,0.0006040288,0.0006853709,0.0013751948,0.00071528804,0.0008945615,0.00062352204],"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":[0.00036794817,0.000106127954,0.0012319591,0.00019197617,0.000072715506,0.00025456637,0.00015251413,0.8783731,0.02982098,0.039372265,0.00095411646,0.04910176],"study_design_scores_gemma":[0.0000033402716,0.000029689661,0.00020625362,0.000009601911,0.000008275345,0.000046526555,0.0000069722214,0.991876,0.005662301,0.0019042117,0.0002371358,0.00000970504],"about_ca_topic_score_codex":0.0020239912,"about_ca_topic_score_gemma":0.0011831406,"teacher_disagreement_score":0.0026412848,"about_ca_system_score_codex":0.0010603494,"about_ca_system_score_gemma":0.0006582114,"threshold_uncertainty_score":0.0139686465},"labels":[],"label_agreement":null},{"id":"W2141573624","doi":"10.1109/tvt.2008.2008715","title":"On Balancing Energy Consumption in Wireless Sensor Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":136,"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 Waterloo","funders":"","keywords":"Wireless sensor network; Energy consumption; Key distribution in wireless sensor networks; Computer network; Computer science; Load balancing (electrical power); Energy conservation; Node (physics); Distributed computing; Energy (signal processing); Efficient energy use; Sensor node; Wireless; Real-time computing; Wireless network; Engineering; Telecommunications; Electrical engineering","score_opus":0.009967407037761137,"score_gpt":0.20770168981091594,"score_spread":0.1977342827731548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141573624","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":[0.0859327,0.014920901,0.87966484,0.0022229734,0.00035352324,0.000080382255,0.000086354754,0.00028784233,0.016450522],"genre_scores_gemma":[0.8949627,0.017552894,0.079193436,0.000530903,0.00044567295,0.00018220308,0.00013609872,0.00020838589,0.0067878314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992324,0.000285725,0.000032563064,0.00007692407,0.000301951,0.00007050916],"domain_scores_gemma":[0.99862087,0.00094469223,0.00010614094,0.000113891714,0.00018927587,0.000025109954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014076615,0.0010014466,0.0006440253,0.0007482975,0.00052228506,0.0011916164,0.00091938855,0.0008721614,0.0010876697],"category_scores_gemma":[0.0050806734,0.0002976416,0.00024894255,0.0015700511,0.001073223,0.0034021547,0.0010094119,0.0005413546,0.00034378818],"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":[0.00015144872,0.00007481671,0.0008631906,0.0002821755,0.00004756338,0.00008817766,0.00013703198,0.77123964,0.007096598,0.09183472,0.0020596762,0.12612489],"study_design_scores_gemma":[0.000016512684,0.00013383778,0.00033662896,0.000075337404,0.00002553893,0.00010697,0.000087545406,0.87667155,0.0034477643,0.11173817,0.0073390584,0.000021127255],"about_ca_topic_score_codex":0.0010930757,"about_ca_topic_score_gemma":0.0010214443,"teacher_disagreement_score":0.0014076615,"about_ca_system_score_codex":0.0007503189,"about_ca_system_score_gemma":0.0006027168,"threshold_uncertainty_score":0.0074445605},"labels":[],"label_agreement":null},{"id":"W2141802175","doi":"10.1109/tvt.2003.814219","title":"Dynamic model-based filtering for mobile terminal location estimation","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":37,"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","funders":"","keywords":"Terminal (telecommunication); Computer science; Trajectory; Real-time computing; Multipath propagation; Kinematics; Telecommunications","score_opus":0.006833798269423345,"score_gpt":0.22983289068822926,"score_spread":0.22299909241880592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141802175","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":[0.0012117805,0.00006422428,0.9982091,0.000028462357,0.000018017392,0.000004235856,0.000011341276,0.00019593193,0.0002569591],"genre_scores_gemma":[0.38972664,0.0010584604,0.6026514,0.0001567093,0.00019495032,0.00016650149,0.0004488322,0.00016897904,0.00542744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996164,0.000080361104,0.000023015587,0.0000969364,0.00014428516,0.000039013827],"domain_scores_gemma":[0.9993843,0.00033617238,0.000059389688,0.000073715055,0.00013574278,0.000010615954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005773797,0.0005263065,0.000829543,0.0005736169,0.00046147255,0.00077611953,0.0007071927,0.0009834723,0.0015802416],"category_scores_gemma":[0.0026410436,0.00046055892,0.00063960644,0.00077155564,0.00034948438,0.00090653595,0.00046508867,0.0010787782,0.0008676048],"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":[0.00011396959,0.00006005185,0.00078892155,0.0001231909,0.000081838145,0.000101522026,0.00009515988,0.65705526,0.01630437,0.018596148,0.0027727077,0.30390698],"study_design_scores_gemma":[0.0000068050194,0.000020103393,0.0001980825,0.0000055443365,0.000010266252,0.0000277714,0.000004215468,0.99337876,0.0018944611,0.0025533456,0.0018898237,0.000010758653],"about_ca_topic_score_codex":0.009048152,"about_ca_topic_score_gemma":0.0075412965,"teacher_disagreement_score":0.009048152,"about_ca_system_score_codex":0.00067973597,"about_ca_system_score_gemma":0.0006890167,"threshold_uncertainty_score":0.017991006},"labels":[],"label_agreement":null},{"id":"W2143040511","doi":"10.1109/tvt.2009.2037507","title":"Application of Mobility Prediction in Wireless Networks Using Markov Renewal Theory","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":85,"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 Manitoba","funders":"","keywords":"Computer science; Wireless network; Quality of service; Computer network; Markov chain; Markov process; Reservation; Cellular network; Wireless; Bandwidth (computing); Markov model; Mobility model; Radio resource management; Distributed computing; Machine learning; Telecommunications","score_opus":0.012079914074567894,"score_gpt":0.26444055765272934,"score_spread":0.25236064357816146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143040511","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":[0.030827548,0.0003874305,0.96680695,0.00028174708,0.000052846754,0.000025375502,0.00004332367,0.00043368258,0.0011411236],"genre_scores_gemma":[0.9216775,0.00082809787,0.07621596,0.0000727039,0.00009618686,0.00006719204,0.000108585824,0.000037770194,0.0008960549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995746,0.00015687376,0.00002376091,0.00006653136,0.00012676034,0.000051437884],"domain_scores_gemma":[0.9968166,0.0025119926,0.00018674397,0.00016762801,0.0002462551,0.00007075622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012049897,0.00050799135,0.00075051456,0.0007502017,0.00060822576,0.000647266,0.0010447785,0.0007197676,0.0006381013],"category_scores_gemma":[0.006530882,0.00043097575,0.0006281261,0.00092271494,0.0006011311,0.0012157775,0.0007072749,0.0010231931,0.0001530318],"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":[0.000017044042,0.000012015816,0.0014604807,0.000016832659,0.000016090167,0.00004837684,0.000039714014,0.9711539,0.00034972487,0.0081804935,0.00024980365,0.018455483],"study_design_scores_gemma":[6.9626395e-7,0.0000017544851,0.00006295814,0.0000014458783,0.00000133518,0.0000049964765,0.0000015709041,0.9981183,0.000075596035,0.0016815334,0.000048156362,0.0000017833655],"about_ca_topic_score_codex":0.015769413,"about_ca_topic_score_gemma":0.008423776,"teacher_disagreement_score":0.015769413,"about_ca_system_score_codex":0.0010611902,"about_ca_system_score_gemma":0.0009793666,"threshold_uncertainty_score":0.03135526},"labels":[],"label_agreement":null},{"id":"W2143686207","doi":"10.1109/tvt.2007.897213","title":"Architecture of Wireless Sensor Networks With Mobile Sinks: Sparsely Deployed Sensors","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":98,"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","funders":"","keywords":"Wireless sensor network; Computer science; Maximization; Computer network; Energy consumption; Minification; Wireless; Scheduling (production processes); Utility maximization; Key distribution in wireless sensor networks; Wireless network; Distributed computing; Engineering; Mathematical optimization; Mathematics; Telecommunications; Electrical engineering","score_opus":0.008074613555109049,"score_gpt":0.2047339049472168,"score_spread":0.19665929139210775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143686207","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":[0.04526252,0.00068115996,0.949341,0.0006479288,0.00008986001,0.00011438357,0.00007681078,0.00038006096,0.00340624],"genre_scores_gemma":[0.63945377,0.001924107,0.3515195,0.00020681894,0.00013609632,0.0002963449,0.00018983334,0.000053154417,0.006220423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980396,0.00006607795,0.000013069449,0.000050643433,0.00005123288,0.000015001899],"domain_scores_gemma":[0.99975044,0.00008352588,0.000038196908,0.000040562834,0.00006747703,0.000019881507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003763104,0.00037295255,0.00034020923,0.0002483681,0.0003815268,0.0006286507,0.0010145502,0.0004655471,0.000993921],"category_scores_gemma":[0.0007834067,0.00027017118,0.00025914292,0.00038879705,0.0005135459,0.001279494,0.00060221145,0.00047329254,0.00033280507],"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":[0.00024656122,0.0001162674,0.0020895377,0.00058670505,0.00011202846,0.00028270864,0.00041787326,0.662151,0.067773335,0.115090586,0.0038400716,0.14729342],"study_design_scores_gemma":[0.000026291613,0.00018651059,0.0005524374,0.000021162443,0.000048478425,0.00017321184,0.000070738664,0.96006715,0.007714053,0.021346668,0.009771963,0.00002135203],"about_ca_topic_score_codex":0.0011181479,"about_ca_topic_score_gemma":0.0020124104,"teacher_disagreement_score":0.0011181479,"about_ca_system_score_codex":0.00039404674,"about_ca_system_score_gemma":0.00051332026,"threshold_uncertainty_score":0.003324926},"labels":[],"label_agreement":null},{"id":"W2144247727","doi":"10.1109/tvt.2008.923655","title":"A Comparison of Frequency-Domain Block MIMO Transmission Systems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":38,"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":"MIMO; Orthogonal frequency-division multiplexing; Cyclic prefix; Electronic engineering; MIMO-OFDM; Equalization (audio); Computer science; Intersymbol interference; Frequency domain; Bit error rate; Transmission (telecommunications); Multiplexing; Multi-user MIMO; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.012743699846572087,"score_gpt":0.2717354678017144,"score_spread":0.25899176795514234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144247727","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":[0.40071267,0.0059629628,0.54026675,0.0004886666,0.0004167766,0.00025967642,0.00064911775,0.0010408873,0.050202478],"genre_scores_gemma":[0.92682296,0.0021464718,0.06473578,0.00012976748,0.00008334348,0.00010662335,0.00041711162,0.000033800447,0.005524145],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999567,0.000110627494,0.000023749535,0.000037424103,0.00020724663,0.000053998643],"domain_scores_gemma":[0.9987784,0.00049203774,0.000074117925,0.00014551108,0.00047146314,0.000038317125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054526236,0.00029166968,0.00040738413,0.000397831,0.00024485323,0.00051726605,0.00028579216,0.00041937135,0.0039300257],"category_scores_gemma":[0.0016580967,0.00010238417,0.0001780384,0.0004130449,0.00010041088,0.0005838085,0.00029333396,0.0002485138,0.0009044032],"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":[0.0032165374,0.0002495579,0.0058352323,0.00088592217,0.0003146886,0.00044424823,0.0003092159,0.22560245,0.14923696,0.030519374,0.0056346194,0.5777512],"study_design_scores_gemma":[0.0002236707,0.0029958347,0.012989222,0.00009589591,0.00023337547,0.0016737015,0.00027551665,0.87792015,0.06718138,0.0068267775,0.029474718,0.00010979675],"about_ca_topic_score_codex":0.0010491937,"about_ca_topic_score_gemma":0.00087368605,"teacher_disagreement_score":0.0039300257,"about_ca_system_score_codex":0.0002705617,"about_ca_system_score_gemma":0.00034691492,"threshold_uncertainty_score":0.0131472945},"labels":[],"label_agreement":null},{"id":"W2144378268","doi":"10.1109/tvt.2004.825771","title":"Iterative Semiblind Multiuser Receivers for a Space–Time Block-Coded MC-CDMA Uplink System","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Multiuser detection; Telecommunications link; Computer science; Code division multiple access; Single antenna interference cancellation; Algorithm; Rayleigh fading; Fading; Iterative method; Decoding methods; Subspace topology; Electronic engineering; Block code; Telecommunications; Engineering","score_opus":0.00779562394904736,"score_gpt":0.2279911717255016,"score_spread":0.22019554777645423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144378268","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01791342,0.00016368537,0.9806866,0.00007817118,0.000012761703,0.000026912789,0.000012777169,0.00027953385,0.00082615943],"genre_scores_gemma":[0.524547,0.00026024893,0.47252133,0.00010906264,0.00005148154,0.00010092332,0.000048845654,0.000033264572,0.0023279204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990233,0.00036287634,0.00004905034,0.0000843413,0.0004111563,0.000069318274],"domain_scores_gemma":[0.9983429,0.0007385147,0.00024369535,0.00022355557,0.0004055812,0.000045715657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010858875,0.00053425477,0.0005881425,0.00038726768,0.00040192102,0.0008318975,0.00069309794,0.0009891457,0.00079939584],"category_scores_gemma":[0.003587502,0.00027937736,0.00035908012,0.00037469363,0.00058341667,0.0006542288,0.0006770497,0.00076624897,0.00052375474],"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":[0.0005509749,0.00013285816,0.001801854,0.00019246279,0.00012578447,0.00041161524,0.00049368234,0.66221595,0.082820356,0.042943068,0.0015733385,0.20673801],"study_design_scores_gemma":[0.000011390645,0.00007118441,0.000096090305,0.000005265542,0.000011531051,0.000082192346,0.000008027171,0.98812264,0.009275959,0.0017316283,0.00057025434,0.000013871903],"about_ca_topic_score_codex":0.0010548171,"about_ca_topic_score_gemma":0.0015692755,"teacher_disagreement_score":0.0010858875,"about_ca_system_score_codex":0.00049055007,"about_ca_system_score_gemma":0.00086277997,"threshold_uncertainty_score":0.0057427883},"labels":[],"label_agreement":null},{"id":"W2144555227","doi":"10.1109/tvt.2007.895469","title":"Transfer Delay Analysis of WAP 2.0 for Short-Lived Flows","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Markov chain; Network packet; File transfer; Transfer (computing); Computer science; Markov process; Wireless Application Protocol; Wireless; Algorithm; Protocol (science); Computer network; Real-time computing; Wireless network; Mathematics; Statistics; Telecommunications; Parallel computing","score_opus":0.013963696782614297,"score_gpt":0.24943327677758526,"score_spread":0.23546957999497095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144555227","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":[0.6047192,0.0011032,0.387805,0.0003585392,0.00009059496,0.00010045876,0.00016032213,0.00055256434,0.0051101362],"genre_scores_gemma":[0.9911144,0.00030144668,0.007361094,0.000032211552,0.000014612356,0.000036539863,0.000048256174,0.000037771268,0.0010536887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995902,0.00007458221,0.000015692702,0.00006772743,0.00014908855,0.00010267864],"domain_scores_gemma":[0.99794954,0.0012649095,0.00026873036,0.00014528999,0.000322753,0.0000487757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011033877,0.00050065,0.0003111618,0.0008718685,0.00036927426,0.0005943108,0.00060292793,0.0004191747,0.0009175359],"category_scores_gemma":[0.0049763587,0.00023598972,0.00029922096,0.00042177126,0.00062757015,0.0011335906,0.00047090024,0.0006643166,0.00017436418],"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":[0.00018087903,0.00005445022,0.0026931511,0.00006713127,0.000028030765,0.00030296476,0.00018802274,0.9237597,0.022267565,0.03673435,0.00078967126,0.012934179],"study_design_scores_gemma":[0.0000025438503,0.000020435005,0.00024145636,0.0000040057043,0.0000035468406,0.000037034362,0.000015382167,0.99553585,0.0020296948,0.0019249178,0.0001791291,0.0000060197517],"about_ca_topic_score_codex":0.005058263,"about_ca_topic_score_gemma":0.0015823969,"teacher_disagreement_score":0.005058263,"about_ca_system_score_codex":0.0017449247,"about_ca_system_score_gemma":0.0009591157,"threshold_uncertainty_score":0.012660384},"labels":[],"label_agreement":null},{"id":"W2144975547","doi":"10.1109/tvt.2007.897209","title":"Cooperative Fair Scheduling for the Downlink of CDMA Cellular Networks","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":56,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Scheduling (production processes); Computer science; Code division multiple access; Computer network; Base station; Proportionally fair; Cellular network; Maximum throughput scheduling; Distributed computing; Quality of service; Round-robin scheduling; Fair-share scheduling; Mathematical optimization; Mathematics","score_opus":0.0066820934212884495,"score_gpt":0.2165305698037418,"score_spread":0.20984847638245335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144975547","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":[0.04133947,0.0012492281,0.95215493,0.00042093731,0.00014235584,0.00009032495,0.00006731574,0.00016828769,0.004367159],"genre_scores_gemma":[0.95015365,0.00048230917,0.04575104,0.000088660716,0.00011052182,0.00010355419,0.000037075606,0.000026117636,0.0032470047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937123,0.00022344505,0.00001789924,0.00007094398,0.00020476292,0.00011176883],"domain_scores_gemma":[0.99882597,0.0007210232,0.00009453347,0.00009195175,0.00021329567,0.000053229265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016949123,0.0005684965,0.0005180881,0.0005742542,0.001144856,0.0011672316,0.00093637826,0.0006021719,0.0014863231],"category_scores_gemma":[0.0047909,0.00024362834,0.00027110343,0.00066866726,0.00084643706,0.0008816868,0.00061084906,0.00054436736,0.0001512688],"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":[0.0001494919,0.00005052085,0.0005747358,0.000068179645,0.000035189514,0.0001522043,0.00020476173,0.8321598,0.0031223642,0.1195978,0.0028561193,0.04102876],"study_design_scores_gemma":[0.000008407728,0.000015351037,0.000055328463,0.0000026284029,0.0000059295267,0.000012994356,0.000013756605,0.9864666,0.00026988494,0.012298887,0.00084666075,0.0000035873688],"about_ca_topic_score_codex":0.018738901,"about_ca_topic_score_gemma":0.019039951,"teacher_disagreement_score":0.018738901,"about_ca_system_score_codex":0.0031960555,"about_ca_system_score_gemma":0.002305543,"threshold_uncertainty_score":0.03725964},"labels":[],"label_agreement":null},{"id":"W2145192591","doi":"10.1109/tvt.2010.2051046","title":"Distortion Exponents for Multi-Relay Cooperative Networks with Limited Feedback","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Simon Fraser University","funders":"","keywords":"Relay; Distortion (music); Computer science; Gaussian; Exponent; Signal-to-noise ratio (imaging); Topology (electrical circuits); Transmission (telecommunications); Channel state information; Relay channel; Decoding methods; Bandwidth (computing); Control theory (sociology); Electronic engineering; Algorithm; Mathematics; Telecommunications; Wireless; Engineering; Physics; Power (physics)","score_opus":0.026260127188138215,"score_gpt":0.26432571609907973,"score_spread":0.2380655889109415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145192591","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":[0.24164665,0.004511774,0.7458332,0.0003469033,0.00005747697,0.000064200896,0.000108705855,0.00013381126,0.007297241],"genre_scores_gemma":[0.98278606,0.0010509776,0.014977738,0.00003100292,0.000021175289,0.000031950232,0.000034007473,0.00002785553,0.001039194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992957,0.0002212708,0.000033677192,0.00008201368,0.00030274346,0.000064584005],"domain_scores_gemma":[0.99672025,0.0022434855,0.00041757408,0.00018889728,0.0003613637,0.00006850553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013500976,0.00083187333,0.00057285605,0.00045807572,0.00028697198,0.00079450017,0.00051926874,0.00044655686,0.0008716215],"category_scores_gemma":[0.005149935,0.00027083527,0.00030096908,0.00036200637,0.0009021939,0.0012931869,0.00065836665,0.0005851628,0.000234072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022353427,0.000045080273,0.0010736058,0.00020202922,0.00006058986,0.00038055185,0.00028224467,0.90289676,0.028021622,0.051539328,0.00039520144,0.014879436],"study_design_scores_gemma":[0.000012874058,0.00008514424,0.00041139408,0.000017705359,0.000016483957,0.00022484994,0.000051190786,0.976939,0.0058746864,0.015863998,0.00047823577,0.000024476563],"about_ca_topic_score_codex":0.00067238807,"about_ca_topic_score_gemma":0.00041452827,"teacher_disagreement_score":0.0013696137,"about_ca_system_score_codex":0.0013696137,"about_ca_system_score_gemma":0.00042509646,"threshold_uncertainty_score":0.009937286},"labels":[],"label_agreement":null},{"id":"W2145252974","doi":"10.1109/tvt.2007.909291","title":"Enhancing IEEE 802.11 Random Backoff in Selfish Environments","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":48,"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; VoiceAge (Canada)","funders":"","keywords":"Exponential backoff; Computer network; Computer science; Network packet; Throughput; Markov chain; Distributed coordination function; IEEE 802.11; Bandwidth (computing); Node (physics); Wireless; Channel (broadcasting); Wireless ad hoc network; Wireless network; Markov process; Engineering; Telecommunications","score_opus":0.011087051930274112,"score_gpt":0.22016010012958281,"score_spread":0.2090730481993087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145252974","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":[0.5181328,0.0005321167,0.4770214,0.00017058631,0.000052291107,0.00006917907,0.000018774364,0.0016483734,0.0023545097],"genre_scores_gemma":[0.97740924,0.00009961042,0.022107722,0.0000464751,0.000008709292,0.00001643985,0.000012873341,0.00004798899,0.0002508951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987803,0.00040040305,0.00005070722,0.00010262471,0.00047840987,0.0001875036],"domain_scores_gemma":[0.996723,0.0015325292,0.0006116659,0.00047846526,0.00048415284,0.00017019174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021112564,0.00060842437,0.00047415184,0.0005574801,0.000382003,0.00065493217,0.0008393436,0.0004955485,0.0002725701],"category_scores_gemma":[0.007442615,0.00039119823,0.00024101921,0.0003448999,0.0005981979,0.0013226621,0.0011337369,0.00063591055,0.00019031984],"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":[0.0013654124,0.0010558366,0.016897533,0.00023972245,0.00010577762,0.0008042991,0.00074429205,0.6462987,0.17700486,0.015841847,0.0011087577,0.13853297],"study_design_scores_gemma":[0.000060205602,0.00041672017,0.002204699,0.000011797588,0.000029246215,0.0002711306,0.00004148124,0.97191274,0.02127048,0.0028544746,0.0008901186,0.000036893052],"about_ca_topic_score_codex":0.0015283296,"about_ca_topic_score_gemma":0.0012571872,"teacher_disagreement_score":0.0021112564,"about_ca_system_score_codex":0.0002963179,"about_ca_system_score_gemma":0.00064391264,"threshold_uncertainty_score":0.0111655},"labels":[],"label_agreement":null},{"id":"W2145747676","doi":"10.1109/tvt.2011.2128357","title":"Performance Analysis of Selection Combining of Signals With Different Modulation Levels in Cooperative Communications","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":36,"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":"Bit error rate; Decodes; Modulation (music); Signal-to-noise ratio (imaging); Link adaptation; Relay; Maximal-ratio combining; Algorithm; Diversity combining; Computer science; Electronic engineering; Mathematics; Telecommunications; Fading; Decoding methods; Engineering; Physics","score_opus":0.05477281146699942,"score_gpt":0.2691915993821316,"score_spread":0.2144187879151322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145747676","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":[0.36729872,0.0034945356,0.5986037,0.0006435067,0.000046838013,0.000086365464,0.00015762834,0.00044096212,0.02922763],"genre_scores_gemma":[0.98415864,0.0007169071,0.01352956,0.00005816383,0.00003213359,0.000035929996,0.00005984042,0.00002123538,0.0013875258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968058,0.0012397706,0.00008657342,0.00020027666,0.0012888758,0.000378646],"domain_scores_gemma":[0.9904109,0.0069529065,0.00074677647,0.0004901675,0.0012726643,0.00012666399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032981231,0.0012539728,0.00081741036,0.0010649068,0.0005052005,0.0011720369,0.00070987776,0.0010370205,0.0011069246],"category_scores_gemma":[0.010442071,0.00037285016,0.00046404736,0.0015500276,0.0014071915,0.0011253207,0.0012090103,0.0005790857,0.00045471409],"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":[0.00047883432,0.000082932835,0.0032174787,0.00018518543,0.00011758301,0.0003882079,0.00039368196,0.88906956,0.025585335,0.04583173,0.0005997462,0.034049712],"study_design_scores_gemma":[0.000013259647,0.00021067445,0.0010019403,0.000024481178,0.00004166522,0.00021818775,0.00005136653,0.98466945,0.0056873723,0.007539929,0.0005161557,0.000025545041],"about_ca_topic_score_codex":0.0018129357,"about_ca_topic_score_gemma":0.001173545,"teacher_disagreement_score":0.0032981231,"about_ca_system_score_codex":0.0015205344,"about_ca_system_score_gemma":0.0007778654,"threshold_uncertainty_score":0.017442346},"labels":[],"label_agreement":null},{"id":"W2145891098","doi":"10.1109/tvt.2009.2037642","title":"A General Framework for Symbol Error Probability Analysis of Wireless Systems and Its Application in Amplify-and-Forward Multihop Relaying","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Moment-generating function; Reciprocal; Fading; Wireless; Signal-to-noise ratio (imaging); Expression (computer science); Computer science; Communications system; Electronic engineering; Topology (electrical circuits); Probability density function; Modulation (music); Probability of error; Mathematics; Algorithm; Telecommunications; Engineering; Channel (broadcasting); Statistics; Physics","score_opus":0.03027642550620546,"score_gpt":0.29742882757758626,"score_spread":0.2671524020713808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145891098","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":[0.00093877333,0.0007029639,0.99616635,0.00008717591,0.000048743692,0.000024428986,0.000040925293,0.00005957185,0.0019310632],"genre_scores_gemma":[0.35422298,0.011794958,0.6197549,0.0005136941,0.0011113626,0.00072657206,0.00040059278,0.00034916573,0.011125732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99860257,0.00045566497,0.000078462566,0.00012941843,0.00064801855,0.000085857144],"domain_scores_gemma":[0.9972881,0.0017553197,0.00019592204,0.0002778383,0.000439328,0.00004359289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026304289,0.001984418,0.0012053462,0.0017869668,0.0005357422,0.0017416095,0.0017524519,0.0017121172,0.002458867],"category_scores_gemma":[0.00879376,0.00054712506,0.0013798684,0.0019556298,0.0014530863,0.002507131,0.0012078137,0.002689595,0.0012128137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022359714,0.00003780919,0.00022892415,0.00020671105,0.000057424033,0.00030966068,0.0001582729,0.50556827,0.004175055,0.46174902,0.0024789704,0.025007458],"study_design_scores_gemma":[0.0000045974275,0.000033385033,0.000118749354,0.000036914233,0.00001468603,0.00017488301,0.000026551761,0.89570606,0.00065194233,0.09945485,0.0037546055,0.000022823655],"about_ca_topic_score_codex":0.0017312057,"about_ca_topic_score_gemma":0.0010678768,"teacher_disagreement_score":0.0026304289,"about_ca_system_score_codex":0.0013236778,"about_ca_system_score_gemma":0.0010372788,"threshold_uncertainty_score":0.013911188},"labels":[],"label_agreement":null},{"id":"W2146288258","doi":"10.1109/tvt.2008.2009059","title":"Downlink Scheduling via Genetic Algorithms for Multiuser Single-Carrier and Multicarrier MIMO Systems With Dirty Paper Coding","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Scheduling (production processes); Fading; Round-robin scheduling; Fair-share scheduling; Proportionally fair; MIMO; Telecommunications link; Quality of service; Beamforming; Algorithm; Real-time computing; Computer network; Mathematical optimization; Decoding methods; Telecommunications; Mathematics","score_opus":0.01380776667910842,"score_gpt":0.21053030068683315,"score_spread":0.19672253400772474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146288258","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":[0.056820177,0.0006289601,0.935853,0.00043416256,0.00007178355,0.00008368171,0.000039608745,0.00023336832,0.0058353688],"genre_scores_gemma":[0.7797068,0.0005346224,0.21521802,0.00020145664,0.00006597045,0.00020686639,0.000090223904,0.00007648226,0.003899532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960536,0.00016024972,0.000013439047,0.00005426602,0.0000875691,0.00007907255],"domain_scores_gemma":[0.9983864,0.0011833012,0.00015157438,0.000040285628,0.00018561208,0.000052722455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077186,0.0008720148,0.00081390893,0.00065708696,0.0005296049,0.001019378,0.00073363545,0.0011860416,0.0012748913],"category_scores_gemma":[0.0034796093,0.0004630428,0.0006044945,0.0007667763,0.0008638963,0.00062227,0.0006389713,0.0011125178,0.00018853482],"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":[0.000009405633,0.000013822208,0.00012251505,0.000008963114,0.000008272388,0.000013436289,0.000019108036,0.9890133,0.0002092136,0.003348176,0.00010979999,0.007124009],"study_design_scores_gemma":[0.0000048222014,0.000008148061,0.000028134162,0.000002317432,0.0000021815274,0.0000030994524,0.0000056349513,0.99779105,0.00009474702,0.0019567485,0.00010116526,0.0000020013897],"about_ca_topic_score_codex":0.011864916,"about_ca_topic_score_gemma":0.008212516,"teacher_disagreement_score":0.011864916,"about_ca_system_score_codex":0.001826595,"about_ca_system_score_gemma":0.0019622524,"threshold_uncertainty_score":0.023591757},"labels":[],"label_agreement":null},{"id":"W2147044713","doi":"10.1109/tvt.2002.804841","title":"Adaptive asymmetric linearization of radio over fiber links for wireless access","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Toronto Metropolitan University","funders":"","keywords":"Nonlinear distortion; Radio over fiber; Telecommunications link; Compensation (psychology); Electronic engineering; Distortion (music); Computer science; Linearization; Wireless; SIGNAL (programming language); Nonlinear system; Telecommunications; Engineering; Bandwidth (computing); Physics","score_opus":0.02354137312176118,"score_gpt":0.25456016569134376,"score_spread":0.23101879256958258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147044713","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":[0.21438934,0.0005906202,0.7742581,0.00028187447,0.00006423466,0.000045446704,0.000034719345,0.0010187008,0.009317049],"genre_scores_gemma":[0.95216036,0.00022472395,0.043419246,0.000054321565,0.00004357802,0.000025249132,0.000040853403,0.000026931957,0.0040047625],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985313,0.000033509983,0.0000042657884,0.000018345469,0.00007433749,0.000016372505],"domain_scores_gemma":[0.9998398,0.00005079728,0.000033457934,0.000022806931,0.000047616664,0.0000054700045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012790911,0.0002498559,0.00013738713,0.00014681996,0.00017595936,0.00020130433,0.0002585048,0.00022512379,0.0014089422],"category_scores_gemma":[0.00041109437,0.00009542338,0.00013866891,0.00012943061,0.00017540356,0.00035474854,0.00021595477,0.00028947697,0.0005505678],"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":[0.00027448378,0.00005678345,0.0011506443,0.00013136948,0.000028402408,0.00026598555,0.00016775323,0.10014663,0.7090112,0.011157464,0.0011876288,0.17642158],"study_design_scores_gemma":[0.000021004273,0.00035868373,0.0014734797,0.000019232499,0.0000201152,0.00043745426,0.000037225014,0.7794641,0.20737706,0.003189963,0.0075659235,0.000035650573],"about_ca_topic_score_codex":0.00050435856,"about_ca_topic_score_gemma":0.0008489916,"teacher_disagreement_score":0.0014089422,"about_ca_system_score_codex":0.0002537194,"about_ca_system_score_gemma":0.00015578869,"threshold_uncertainty_score":0.0047133565},"labels":[],"label_agreement":null},{"id":"W2147224999","doi":"10.1109/tvt.2002.1015317","title":"Soft capacity analysis of TDMA systems with slow-frequency hopping and multiple-beam smart antennas","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Time division multiple access; Smart antenna; Electronic engineering; Wireless; GSM; Engineering; Power control; Computer science; Transmission (telecommunications); Directional antenna; Antenna (radio); Computer network; Power (physics); Electrical engineering; Telecommunications","score_opus":0.027964996179031042,"score_gpt":0.23188346180067046,"score_spread":0.20391846562163943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147224999","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":[0.24733278,0.0022405211,0.7267314,0.00091315364,0.00010790864,0.00007474527,0.0002497466,0.0005033316,0.02184635],"genre_scores_gemma":[0.9938545,0.00037175327,0.0042662793,0.000043484248,0.000049153063,0.000036278405,0.000034480327,0.000029026625,0.0013150863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986804,0.00036842248,0.000034156652,0.00008728189,0.0004892794,0.00034033693],"domain_scores_gemma":[0.9926615,0.004946038,0.0006292328,0.0004338521,0.001120668,0.0002088366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370482,0.0008931409,0.000659192,0.0013121689,0.0005511078,0.0013667801,0.00083421386,0.00069945614,0.0024784212],"category_scores_gemma":[0.00813234,0.00043904994,0.0004406403,0.00090313354,0.0019515463,0.0018835121,0.001165036,0.0010541637,0.00038944808],"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":[0.00014099774,0.00003399034,0.00086551264,0.00011215994,0.000039664523,0.00031223087,0.00022389555,0.87572306,0.007676204,0.10498719,0.00090844615,0.0089766085],"study_design_scores_gemma":[0.0000038337225,0.0000125926335,0.00015875214,0.00000605611,0.0000050810227,0.00003591915,0.000020751488,0.9922025,0.00065959856,0.0067349765,0.00015116947,0.0000086704285],"about_ca_topic_score_codex":0.005715885,"about_ca_topic_score_gemma":0.0018629158,"teacher_disagreement_score":0.005715885,"about_ca_system_score_codex":0.0020041256,"about_ca_system_score_gemma":0.001052734,"threshold_uncertainty_score":0.01454109},"labels":[],"label_agreement":null},{"id":"W2147622001","doi":"10.1109/tvt.2007.891489","title":"A CAC Considering Both Intracell and Intercell Handoffs for Measurement-based DCA","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","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":"University of Waterloo","funders":"","keywords":"Handover; Computer network; Channel (broadcasting); Computer science; Channel allocation schemes; Real-time computing; Engineering; Telecommunications; Wireless","score_opus":0.032933924362551194,"score_gpt":0.2730611485691897,"score_spread":0.24012722420663854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147622001","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":[0.14341724,0.0012994704,0.8461125,0.00079060026,0.0002760482,0.0001659085,0.000058185007,0.0008366114,0.0070433854],"genre_scores_gemma":[0.9587901,0.00015684607,0.0400085,0.000078328965,0.00010474919,0.000043532655,0.000014421851,0.000016680762,0.00078696344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990374,0.00029683748,0.000034135148,0.00019632037,0.00031383274,0.00012144577],"domain_scores_gemma":[0.99738246,0.0011767877,0.00022765993,0.00036929114,0.00063447707,0.00020932853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012138145,0.000821946,0.00084030064,0.0005461206,0.0013391656,0.001180571,0.0012337992,0.00090945495,0.0012204731],"category_scores_gemma":[0.003857765,0.00023147951,0.00032681754,0.0005951727,0.00087181083,0.00091159996,0.00070970523,0.0011012612,0.00016689036],"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":[0.00044310308,0.0002558289,0.0046411376,0.00009164735,0.00008998357,0.00035058273,0.00022525853,0.8208913,0.023078617,0.024410589,0.0022169177,0.12330504],"study_design_scores_gemma":[0.000019216794,0.0000548658,0.000293052,0.000003997208,0.000027166912,0.00006226206,0.000022552274,0.9956702,0.0017270268,0.0012786619,0.0008278696,0.000013040385],"about_ca_topic_score_codex":0.010096137,"about_ca_topic_score_gemma":0.008333169,"teacher_disagreement_score":0.010096137,"about_ca_system_score_codex":0.0019308066,"about_ca_system_score_gemma":0.0020741147,"threshold_uncertainty_score":0.020074725},"labels":[],"label_agreement":null},{"id":"W2147631966","doi":"10.1109/tvt.2010.2052117","title":"Optimization of Wireless Multicast Systems Employing Hybrid-ARQ with Chase Combining","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":27,"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":"","keywords":"Multicast; Hybrid automatic repeat request; Source-specific multicast; Computer science; Xcast; Computer network; Pragmatic General Multicast; Throughput; Protocol Independent Multicast; Automatic repeat request; IP multicast; Channel (broadcasting); Distributed computing; Reliable multicast; Distance Vector Multicast Routing Protocol; Wireless; Telecommunications link; Telecommunications","score_opus":0.01613169755399985,"score_gpt":0.24427300182980577,"score_spread":0.22814130427580592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147631966","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":[0.12915574,0.0009777739,0.863055,0.0003773647,0.000037398102,0.00006400138,0.000053836215,0.00017654135,0.0061024386],"genre_scores_gemma":[0.9647241,0.00034217947,0.03367826,0.000037874914,0.000033490283,0.00007283327,0.000025467301,0.000026447782,0.0010594131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993242,0.00033838113,0.00001534824,0.000060226816,0.00015873161,0.00010321891],"domain_scores_gemma":[0.9991737,0.00056343206,0.00010759982,0.000026965581,0.000103290506,0.000025018604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012489972,0.0011444995,0.0008596375,0.00044107693,0.00041277116,0.0008418463,0.0005512662,0.00074384565,0.0008470337],"category_scores_gemma":[0.0020306325,0.00043902965,0.00035071114,0.0006708641,0.00063247106,0.0007218262,0.00096825213,0.0004390144,0.00016405573],"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":[0.0000437795,0.000021601832,0.00023952278,0.000023821349,0.000022082302,0.00003816237,0.000021160471,0.98558587,0.002634197,0.004976068,0.00019933315,0.006194482],"study_design_scores_gemma":[0.000006169632,0.000030203102,0.000069512505,0.0000013589705,0.0000048082006,0.000008590072,0.0000081305825,0.9981652,0.00035133952,0.0012727695,0.00007888826,0.0000032056905],"about_ca_topic_score_codex":0.0012695754,"about_ca_topic_score_gemma":0.0012416253,"teacher_disagreement_score":0.0012695754,"about_ca_system_score_codex":0.0009939593,"about_ca_system_score_gemma":0.0005642925,"threshold_uncertainty_score":0.007211685},"labels":[],"label_agreement":null},{"id":"W2147842707","doi":"10.1109/tvt.2009.2026177","title":"MIMO-Based Collision Avoidance in IEEE 802.11e Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Distributed coordination function; Network allocation vector; Computer science; Computer network; MIMO; Service set; IEEE 802.11e-2005; IEEE 802; Channel (broadcasting); Wireless Multimedia Extensions; Wi-Fi; Quality of service; IEEE 802.11; Wireless network; Wireless; Telecommunications; Wi-Fi array","score_opus":0.009390164194784754,"score_gpt":0.24147331989338575,"score_spread":0.232083155698601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147842707","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":[0.045980137,0.002238656,0.94728816,0.000252022,0.00020406581,0.000048451213,0.000024576766,0.00032484042,0.0036389772],"genre_scores_gemma":[0.939461,0.0008920516,0.05783351,0.00020665763,0.00007847154,0.000050710856,0.00002839623,0.000010406586,0.0014387438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985266,0.00040618118,0.000066606335,0.00017695093,0.0005957091,0.00022787655],"domain_scores_gemma":[0.99799025,0.0011094422,0.00024497262,0.0001645139,0.0004322245,0.00005860657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016627588,0.00047128194,0.00057927566,0.00046979843,0.00086583255,0.00072185067,0.00090930465,0.0006358151,0.00063988235],"category_scores_gemma":[0.003307843,0.0003699954,0.0003434735,0.0005719477,0.0008539309,0.000995285,0.0009582525,0.00078834663,0.00015242335],"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":[0.00046365714,0.00013300784,0.0030045712,0.00021529553,0.00011682632,0.0005938228,0.0004672034,0.7677391,0.035316568,0.04841185,0.0025074321,0.1410306],"study_design_scores_gemma":[0.000037092897,0.00018571371,0.00071405835,0.00002261481,0.000032358435,0.00035418943,0.000058070527,0.98014086,0.008326981,0.0078046406,0.002279342,0.000044087912],"about_ca_topic_score_codex":0.0027649703,"about_ca_topic_score_gemma":0.0021763586,"teacher_disagreement_score":0.0027649703,"about_ca_system_score_codex":0.00079078967,"about_ca_system_score_gemma":0.0007863767,"threshold_uncertainty_score":0.008793652},"labels":[],"label_agreement":null},{"id":"W2148234869","doi":"10.1109/tvt.2010.2044905","title":"Efficient and Reliable Broadcast in Intervehicle Communication Networks: A Cross-Layer Approach","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":82,"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 Waterloo","funders":"","keywords":"Computer network; Relay; Computer science; Redundancy (engineering); Atomic broadcast; Dissemination; Broadcast domain; Broadcast radiation; Physical layer; Quality of service; Channel (broadcasting); Broadcast communication network; Metric (unit); Provisioning; Distributed computing; Broadcasting (networking); Wireless; Engineering; Telecommunications","score_opus":0.008852814731351681,"score_gpt":0.2417634935938893,"score_spread":0.2329106788625376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148234869","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":[0.0075917896,0.0017967854,0.98868984,0.0002010294,0.000056089066,0.000063374995,0.00001408976,0.00015775727,0.0014291388],"genre_scores_gemma":[0.6475742,0.004277818,0.34434173,0.00024521135,0.00022777711,0.00027901062,0.000111037705,0.000078834,0.0028644172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861336,0.00052045286,0.00010249518,0.00015581472,0.00046355155,0.00014428397],"domain_scores_gemma":[0.99862814,0.0005787908,0.00017973057,0.00015988434,0.00040995982,0.00004344443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026536828,0.00097408186,0.00083911204,0.0008807351,0.0006344476,0.0018560879,0.0016817759,0.0011596986,0.00092238665],"category_scores_gemma":[0.0029070738,0.0006323017,0.0006803689,0.00070831703,0.00069346104,0.001930192,0.0015319627,0.0010548261,0.0003201725],"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":[0.000081828715,0.00009203304,0.00087204,0.00040010357,0.00015844691,0.0003043475,0.00025528332,0.82449764,0.02625628,0.05612007,0.0019195816,0.089042336],"study_design_scores_gemma":[0.0000059840095,0.000069768306,0.000094688,0.000016072638,0.000035203902,0.00007586695,0.000033926623,0.9908572,0.002716611,0.0041536884,0.0019275125,0.0000134801585],"about_ca_topic_score_codex":0.0020059538,"about_ca_topic_score_gemma":0.0018446636,"teacher_disagreement_score":0.0026536828,"about_ca_system_score_codex":0.0011131427,"about_ca_system_score_gemma":0.0011793087,"threshold_uncertainty_score":0.014034212},"labels":[],"label_agreement":null},{"id":"W2148393683","doi":"10.1109/tvt.2007.891403","title":"Optimization of Sequential Paging in Movement-Based Location Management Based on Movement Statistics","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":33,"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":"","keywords":"Paging; Computer science; Scheme (mathematics); Range (aeronautics); Interval (graph theory); Poisson distribution; Movement (music); Boundary (topology); Real-time computing; Algorithm; Statistics; Mathematics; Computer network; Engineering","score_opus":0.014107565774366155,"score_gpt":0.26947647626817395,"score_spread":0.2553689104938078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148393683","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":[0.08904349,0.00030577407,0.9084632,0.00018317554,0.000036844598,0.0000733384,0.000043896267,0.0005173421,0.0013330232],"genre_scores_gemma":[0.94778883,0.00010468716,0.051384803,0.000027781934,0.000022863673,0.000049053815,0.000044525957,0.000026714593,0.0005508588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875295,0.00046119053,0.0000958596,0.00022749147,0.00028345975,0.00017899692],"domain_scores_gemma":[0.99643147,0.0020741648,0.00048826303,0.00039929347,0.00045818312,0.00014852957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013663234,0.0005819605,0.00093681464,0.0005358896,0.00041384538,0.0007141979,0.0010850246,0.0004792817,0.00063468626],"category_scores_gemma":[0.0063710646,0.0004455659,0.00026596998,0.00077094015,0.0006898055,0.0015637066,0.00086999923,0.00048656258,0.00016282286],"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":[0.0002628978,0.00008924794,0.0023035696,0.000085416876,0.000035455112,0.00012120288,0.00010369286,0.90055406,0.008335584,0.012354126,0.0011974983,0.07455721],"study_design_scores_gemma":[0.000010682756,0.000068674584,0.00035627442,0.0000028303407,0.000008024948,0.00005037649,0.000015050711,0.99563855,0.0010213153,0.0025505107,0.00027149252,0.000006221535],"about_ca_topic_score_codex":0.0024937252,"about_ca_topic_score_gemma":0.0021950984,"teacher_disagreement_score":0.0024937252,"about_ca_system_score_codex":0.0010412962,"about_ca_system_score_gemma":0.0012493279,"threshold_uncertainty_score":0.007555127},"labels":[],"label_agreement":null},{"id":"W2148403900","doi":"10.1109/tvt.2008.927998","title":"Decision-Feedback Subset Multiple-Symbol Differential Detection for Unitary Space-Time Modulation","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"University of British Columbia","funders":"","keywords":"Differential (mechanical device); Metric (unit); Algorithm; Symbol (formal); Modulation (music); Fading; Computer science; Computational complexity theory; Mathematics; Theoretical computer science; Decoding methods; Engineering","score_opus":0.007488122646725412,"score_gpt":0.22551736175640177,"score_spread":0.21802923910967636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148403900","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":[0.009175497,0.00025316875,0.9897473,0.00006812839,0.000038754617,0.000023741744,0.000022807446,0.00014032546,0.00053030095],"genre_scores_gemma":[0.33485118,0.00038794626,0.66291547,0.00017072362,0.0000746266,0.00010707235,0.00012372459,0.0000286875,0.0013405435],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942446,0.00017433643,0.00003501911,0.000084864456,0.00023716244,0.0000441639],"domain_scores_gemma":[0.99907565,0.00051349873,0.00008436262,0.00012454155,0.00017713351,0.00002490869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061536365,0.00041248795,0.00058851927,0.00042452203,0.00031666478,0.0004908677,0.0006544181,0.00039507227,0.001126993],"category_scores_gemma":[0.0023821567,0.00018324511,0.0002658858,0.00055869156,0.00029720122,0.0007399163,0.00060097896,0.00049856247,0.00028805746],"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":[0.0004273649,0.000096886746,0.0012350968,0.00031500883,0.0000647693,0.00015571807,0.0002173104,0.09119718,0.07061273,0.05951183,0.0027429352,0.7734231],"study_design_scores_gemma":[0.000032960765,0.0002098684,0.00035381524,0.000020074227,0.000020937752,0.0002974466,0.000022778144,0.95442116,0.027091056,0.012864438,0.0046457336,0.000019792447],"about_ca_topic_score_codex":0.00033453235,"about_ca_topic_score_gemma":0.00066754,"teacher_disagreement_score":0.001126993,"about_ca_system_score_codex":0.00036791543,"about_ca_system_score_gemma":0.0005885241,"threshold_uncertainty_score":0.0037702322},"labels":[],"label_agreement":null},{"id":"W2148704095","doi":"10.1109/tvt.2011.2116052","title":"Performance Characterization for IEEE 802.11p Network With Single Channel Devices","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":61,"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; Channel (broadcasting); Computer science; Duty cycle; Frame (networking); Synchronization (alternating current); IEEE 802.11; Control channel; Wireless; Wireless network; Real-time computing; Engineering; Telecommunications; Base station","score_opus":0.01492767787672525,"score_gpt":0.18141389111273742,"score_spread":0.16648621323601218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148704095","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":[0.89249253,0.0014244337,0.0997619,0.0002669923,0.00006538063,0.00012810138,0.00037495114,0.00047204155,0.005013543],"genre_scores_gemma":[0.9950956,0.00027233714,0.0040939827,0.000019240204,0.000017789327,0.000048940085,0.000113620044,0.000020575357,0.00031791744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765223,0.0005492584,0.00012791793,0.00039186774,0.00081167155,0.0004670181],"domain_scores_gemma":[0.9917464,0.0056439494,0.0007208254,0.00064591086,0.0010869005,0.00015603786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021222965,0.0010738887,0.00075250363,0.0013677796,0.0007290884,0.0010915498,0.000951163,0.0009903059,0.000968177],"category_scores_gemma":[0.009443022,0.00025544275,0.00041586606,0.0011972415,0.00092854805,0.001795256,0.0007960545,0.00060067634,0.00020656126],"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":[0.0004919887,0.00024229716,0.0101721315,0.00021663212,0.00008278883,0.00036056168,0.00020050889,0.9402846,0.018115766,0.004785968,0.00082311954,0.024223665],"study_design_scores_gemma":[0.000010603182,0.00042199055,0.003249708,0.000012898392,0.000029828874,0.00028568713,0.00008695434,0.99044514,0.0041768984,0.0009989145,0.00026091936,0.000020401752],"about_ca_topic_score_codex":0.002778386,"about_ca_topic_score_gemma":0.0019196037,"teacher_disagreement_score":0.002778386,"about_ca_system_score_codex":0.0013865901,"about_ca_system_score_gemma":0.0006847128,"threshold_uncertainty_score":0.011223912},"labels":[],"label_agreement":null},{"id":"W2148883419","doi":"10.1109/tvt.2008.917238","title":"Proxy-Based Wireless Data Access Algorithms in Mobile Hotspots","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":24,"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 Waterloo; Communications Research Centre Canada","funders":"","keywords":"Computer science; Wireless; Cache; Proxy (statistics); Algorithm; Callback; Mobile wireless; Computer network; Bluetooth; Data access; Database; Operating system; Machine learning","score_opus":0.03881300411109033,"score_gpt":0.2769818341048313,"score_spread":0.23816882999374095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148883419","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":[0.111038096,0.0014989794,0.88410413,0.00019710224,0.00005385028,0.00007047266,0.000034301705,0.0007089363,0.0022942543],"genre_scores_gemma":[0.89574367,0.00050387334,0.101658,0.000055394587,0.00003286688,0.000071335664,0.000046730453,0.000046359277,0.00184178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949205,0.00022664017,0.000032695236,0.000059639766,0.000113345,0.00007570059],"domain_scores_gemma":[0.9981115,0.0010615689,0.00017203878,0.00026309298,0.00029372404,0.0000980527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009845879,0.00045958316,0.00084156875,0.0004966967,0.0005227515,0.0010887971,0.0010819255,0.0006559451,0.0010431897],"category_scores_gemma":[0.0044277157,0.00028527225,0.00025436198,0.000817936,0.0006234896,0.0018054689,0.0008183729,0.00045966223,0.00026144047],"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":[0.0006266482,0.00013954415,0.004500799,0.00020723505,0.00009683906,0.00025895983,0.0003425111,0.80812216,0.011762065,0.053620975,0.0023101803,0.11801205],"study_design_scores_gemma":[0.000021552416,0.000051374664,0.00018796122,0.0000048648276,0.000009181335,0.00007299716,0.00003654304,0.992029,0.0022079982,0.0048608235,0.00051126664,0.0000064621563],"about_ca_topic_score_codex":0.0014629045,"about_ca_topic_score_gemma":0.001214775,"teacher_disagreement_score":0.0014629045,"about_ca_system_score_codex":0.00070598465,"about_ca_system_score_gemma":0.00050645776,"threshold_uncertainty_score":0.0052071214},"labels":[],"label_agreement":null},{"id":"W2148886334","doi":"10.1109/tvt.2009.2027331","title":"Efficient Resource Allocation for OFDMA Multicast Systems With Spectrum-Sharing Control","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Saskatchewan; University of Alberta","funders":"","keywords":"Subcarrier; Multicast; Computer science; Computer network; Resource allocation; Throughput; Bandwidth (computing); Frequency-division multiple access; Orthogonal frequency-division multiple access; Spectral efficiency; Maximization; Base station; Orthogonal frequency-division multiplexing; Power control; Bandwidth allocation; Distributed computing; Mathematical optimization; Wireless; Power (physics); Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.004713638808440682,"score_gpt":0.19629429035175014,"score_spread":0.19158065154330944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148886334","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029108431,0.0003289237,0.9677555,0.00010703997,0.00002386752,0.000037751463,0.000015296759,0.00007249991,0.002550632],"genre_scores_gemma":[0.89512265,0.00022780738,0.102944225,0.000049473772,0.000045771474,0.000101068275,0.000019276511,0.000019091565,0.0014705559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951005,0.0001799382,0.00001799491,0.0000560159,0.00016338124,0.00007262773],"domain_scores_gemma":[0.9996636,0.00019631868,0.000060911538,0.000024693147,0.000040586478,0.0000138158075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080875953,0.00056854123,0.0006362328,0.00034653844,0.00046697247,0.0006285306,0.0007563568,0.0005250879,0.0008366267],"category_scores_gemma":[0.0017941523,0.00019764187,0.00023924984,0.00048677664,0.0005374856,0.000788675,0.00062726875,0.0004063999,0.00014007321],"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":[0.00007494086,0.00008118702,0.00026194373,0.00006032386,0.000024328154,0.00007817842,0.00006653107,0.9046925,0.006025602,0.025352435,0.000602576,0.06267949],"study_design_scores_gemma":[0.000006731963,0.000021077138,0.00004287284,0.0000022007835,0.000003297292,0.000013022165,0.0000069740267,0.9948672,0.0005512623,0.004155097,0.00032759912,0.0000026861767],"about_ca_topic_score_codex":0.0013459411,"about_ca_topic_score_gemma":0.0012286222,"teacher_disagreement_score":0.0013459411,"about_ca_system_score_codex":0.00061017956,"about_ca_system_score_gemma":0.00047494663,"threshold_uncertainty_score":0.004427135},"labels":[],"label_agreement":null},{"id":"W2149233205","doi":"10.1109/tvt.2009.2039008","title":"Subspace-Based Blind Channel Estimation for MIMO-OFDM Systems With Reduced Time Averaging","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Orthogonal frequency-division multiplexing; MIMO; Signal subspace; MIMO-OFDM; Subspace topology; Algorithm; Channel (broadcasting); Computer science; Wideband; Orthogonality; Linear subspace; Spatial correlation; Mathematics; Noise (video); Electronic engineering; Telecommunications; Engineering; Artificial intelligence","score_opus":0.010758270127366116,"score_gpt":0.2419738827755609,"score_spread":0.2312156126481948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149233205","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00473448,0.00017237835,0.99445033,0.000029956811,0.000016838834,0.000009683738,0.000014913829,0.00020674162,0.0003647771],"genre_scores_gemma":[0.34929252,0.0006508113,0.6480486,0.00007483873,0.00009333001,0.00010219677,0.00016738297,0.000055658882,0.0015146971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936706,0.00027653069,0.00003453897,0.00007281721,0.0001998788,0.000049200764],"domain_scores_gemma":[0.9989724,0.0005636501,0.000111290254,0.000132484,0.0001927594,0.000027305798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064327166,0.00057459914,0.0007197257,0.00051731634,0.00043647893,0.00047414916,0.0004533931,0.0005762692,0.000991511],"category_scores_gemma":[0.0027426798,0.00025006846,0.0004878892,0.00081690814,0.00053483737,0.0011832836,0.00060823647,0.0006274371,0.000449381],"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":[0.00034881648,0.00011016093,0.0007391932,0.0001802257,0.00012170109,0.00008929548,0.00014623516,0.5540361,0.029277954,0.02306866,0.0024663515,0.38941538],"study_design_scores_gemma":[0.000009444537,0.00003694031,0.00013093279,0.0000033817525,0.00000838645,0.000043605014,0.000007387138,0.9921821,0.0041338922,0.0028309969,0.00059951894,0.000013396128],"about_ca_topic_score_codex":0.0018801052,"about_ca_topic_score_gemma":0.0027382597,"teacher_disagreement_score":0.0018801052,"about_ca_system_score_codex":0.00027768448,"about_ca_system_score_gemma":0.0008306567,"threshold_uncertainty_score":0.0037383437},"labels":[],"label_agreement":null},{"id":"W2149845570","doi":"10.1109/tvt.2011.2160665","title":"A Cumulant-Based Investigation of the Impact of Secondary Users' Field Size on Spectrum-Sharing Opportunities","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"Carleton University","funders":"","keywords":"Cumulant; Interference (communication); Channel (broadcasting); Field (mathematics); Aggregate (composite); Spectral density; Computer science; Spectrum (functional analysis); Pessimism; Telecommunications; Mathematics; Statistical physics; Statistics; Physics","score_opus":0.027027451332428086,"score_gpt":0.22803137204915364,"score_spread":0.20100392071672554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149845570","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":[0.32788128,0.0013227732,0.65308285,0.00031636105,0.00006852451,0.00007773454,0.00017882022,0.00025962468,0.016812129],"genre_scores_gemma":[0.969117,0.00051579153,0.029226137,0.000048250982,0.000036648504,0.000021562057,0.00006554609,0.000033617285,0.0009354018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946874,0.00013326989,0.000019653355,0.000057806526,0.00022717414,0.00009326898],"domain_scores_gemma":[0.992808,0.005403422,0.0005907013,0.00042173167,0.0006343165,0.00014179549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010735692,0.00054930925,0.00048943405,0.0010618813,0.00035609235,0.000520926,0.0005385618,0.00040244474,0.001644852],"category_scores_gemma":[0.0074117226,0.00020363656,0.00044027544,0.00090984756,0.0007216529,0.0014833813,0.0005575571,0.0006975596,0.00018211968],"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":[0.00024047671,0.00021098334,0.0047341636,0.0002647735,0.00007313005,0.0005031284,0.00025566653,0.79362255,0.053790096,0.09564683,0.0012010467,0.049457174],"study_design_scores_gemma":[0.0000033907256,0.000050624178,0.0016666404,0.000009766943,0.000012853264,0.00014337739,0.00003195937,0.9876775,0.0047528613,0.005269951,0.0003665343,0.000014485561],"about_ca_topic_score_codex":0.0017187184,"about_ca_topic_score_gemma":0.0010693723,"teacher_disagreement_score":0.0017187184,"about_ca_system_score_codex":0.0007057734,"about_ca_system_score_gemma":0.0006859782,"threshold_uncertainty_score":0.0056776404},"labels":[],"label_agreement":null},{"id":"W2150330727","doi":"10.1109/25.892580","title":"On the capacity of cellular DS/CDMA systems under slow Rician/Rayleigh-fading channels","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":22,"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; Nortel (Canada)","funders":"","keywords":"Rician fading; Multipath propagation; Fading; Rayleigh fading; Base station; Fading distribution; Path loss; Power control; Code division multiple access; Computer science; Interference (communication); Electronic engineering; Telecommunications; Engineering; Power (physics); Wireless; Physics; Channel (broadcasting)","score_opus":0.028117945385860932,"score_gpt":0.23970536947298918,"score_spread":0.21158742408712825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150330727","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":[0.57262266,0.025722215,0.27058187,0.004399755,0.0005645745,0.00014166153,0.001983089,0.0005788092,0.12340536],"genre_scores_gemma":[0.9878889,0.0047707893,0.0040369215,0.00012824037,0.00020636233,0.00007820344,0.00023564282,0.000062642575,0.0025923394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998632,0.00040923327,0.000031037354,0.00012762749,0.00039566512,0.0004043576],"domain_scores_gemma":[0.9910663,0.0067467247,0.0003592126,0.00049071317,0.0011931071,0.00014398627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015554775,0.0011976993,0.0007585171,0.0015328533,0.00065462047,0.0014335773,0.0007293782,0.0008552893,0.0037291665],"category_scores_gemma":[0.011809208,0.00039386627,0.0004025468,0.0016791782,0.0024974914,0.0023750034,0.0015282248,0.0014726544,0.00068989355],"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":[0.00039701583,0.00008377173,0.001978104,0.00034316056,0.00008484437,0.0004976993,0.00028656257,0.83400923,0.012181622,0.113026954,0.0033703523,0.03374074],"study_design_scores_gemma":[0.000017274242,0.000093752926,0.0021791067,0.00018900324,0.000054343975,0.00021956816,0.00012995962,0.9371576,0.007549398,0.04866505,0.0036854194,0.000059522554],"about_ca_topic_score_codex":0.006412762,"about_ca_topic_score_gemma":0.003009385,"teacher_disagreement_score":0.006412762,"about_ca_system_score_codex":0.002333357,"about_ca_system_score_gemma":0.0010381553,"threshold_uncertainty_score":0.016929805},"labels":[],"label_agreement":null},{"id":"W2150431092","doi":"10.1109/tvt.2012.2196532","title":"Channel Assignment With Access Contention Resolution for Cognitive Radio Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cognitive radio; Computer science; Throughput; Channel (broadcasting); Channel allocation schemes; Algorithm; Greedy algorithm; Optimization problem; Heuristic; Assignment problem; Weapon target assignment problem; Control channel; Computational complexity theory; Generalized assignment problem; Mathematical optimization; Computer network; Wireless; Telecommunications link; Mathematics; Telecommunications","score_opus":0.02241118998565208,"score_gpt":0.25596499238536824,"score_spread":0.23355380239971615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150431092","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":[0.010536033,0.00049577287,0.9867525,0.00017568665,0.00006870638,0.00005654522,0.000012934427,0.00009248011,0.0018093539],"genre_scores_gemma":[0.7853213,0.0008592288,0.21012145,0.00017776768,0.00022842677,0.00032137576,0.000050652816,0.000045629396,0.0028741322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838614,0.0006774042,0.000042909585,0.0002267189,0.00042799098,0.00023878126],"domain_scores_gemma":[0.99640024,0.0027692658,0.00028656132,0.0002294494,0.00022521048,0.00008925022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017462882,0.0010532606,0.0008753822,0.000608264,0.0009795816,0.0013780049,0.0015632974,0.0009515945,0.0015806601],"category_scores_gemma":[0.0070378655,0.00038781352,0.0004878836,0.0011758589,0.0016640557,0.0018517367,0.0011602212,0.0014531298,0.00023584129],"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":[0.00013753433,0.00011974823,0.00035507543,0.0001228089,0.000051142542,0.0001685183,0.00012299056,0.8581707,0.0024395566,0.08875567,0.0014465031,0.04810975],"study_design_scores_gemma":[0.000017452636,0.000021844566,0.00004025156,0.0000044780763,0.000008004204,0.000030061643,0.000014124265,0.98073274,0.00039698332,0.018142665,0.00058522745,0.000006199502],"about_ca_topic_score_codex":0.003175308,"about_ca_topic_score_gemma":0.0026606128,"teacher_disagreement_score":0.003175308,"about_ca_system_score_codex":0.0014821825,"about_ca_system_score_gemma":0.0019793643,"threshold_uncertainty_score":0.010754108},"labels":[],"label_agreement":null},{"id":"W2150775481","doi":"10.1109/tvt.2007.891492","title":"High-Sensitivity GPS Data Classification Based on Signal Degradation Conditions","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Global Positioning System; Sensitivity (control systems); Degradation (telecommunications); SIGNAL (programming language); Reliability (semiconductor); Computer science; GPS signals; Data mining; Fuzzy logic; Remote sensing; Real-time computing; Assisted GPS; Engineering; Artificial intelligence; Electronic engineering; Geography; Telecommunications","score_opus":0.024066458135112694,"score_gpt":0.24876551403812103,"score_spread":0.22469905590300834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150775481","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7952635,0.00016013673,0.20143525,0.00012305022,0.000036478,0.000092382026,0.00019034251,0.00069723837,0.0020015289],"genre_scores_gemma":[0.98074657,0.000048677128,0.018628085,0.000021573376,0.000008069718,0.000016011953,0.0001526487,0.000009551587,0.00036873354],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943537,0.00008754919,0.000055360953,0.00008915191,0.0002782249,0.0000543054],"domain_scores_gemma":[0.9980463,0.0005495303,0.00024381539,0.0001871149,0.00088477955,0.00008844357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006451842,0.00034925676,0.0003677101,0.001234023,0.00026002846,0.00054310565,0.00032279544,0.00036437812,0.00035003375],"category_scores_gemma":[0.0032108892,0.00012362188,0.00018158996,0.0004402003,0.00029760838,0.00050330296,0.00027662353,0.00034755334,0.00023230311],"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":[0.0013601747,0.00027498056,0.24351099,0.00025248402,0.00011681815,0.0004934765,0.00072005444,0.0769021,0.16088855,0.00104526,0.0012812449,0.51315385],"study_design_scores_gemma":[0.00003654446,0.00045159683,0.1937238,0.00004581762,0.0000844092,0.0004046276,0.0004582061,0.6953796,0.10611625,0.0012170393,0.0020199965,0.00006199431],"about_ca_topic_score_codex":0.0020191658,"about_ca_topic_score_gemma":0.0027249877,"teacher_disagreement_score":0.0020191658,"about_ca_system_score_codex":0.00033693385,"about_ca_system_score_gemma":0.00021592513,"threshold_uncertainty_score":0.0040148497},"labels":[],"label_agreement":null},{"id":"W2151341346","doi":"10.1109/tvt.2012.2186471","title":"Performance Analysis of Cognitive Radio Spectrum Access With Prioritized Traffic","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":107,"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 New Brunswick","funders":"","keywords":"Handover; Computer network; Cognitive radio; Computer science; Reservation; Spectrum management; Markov process; Transmission (telecommunications); Blocking (statistics); Markov chain; Wireless; Telecommunications","score_opus":0.011547178069342242,"score_gpt":0.24208364470353896,"score_spread":0.23053646663419672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151341346","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":[0.5914573,0.004846615,0.37568986,0.0008282318,0.00017753473,0.00016897949,0.00036809393,0.0007447426,0.025718609],"genre_scores_gemma":[0.9943532,0.0004427178,0.0044848504,0.000044456054,0.000040647246,0.00003120396,0.000050595918,0.000023173425,0.0005291752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969813,0.00071400095,0.00008013084,0.00025271284,0.0011717742,0.00080009055],"domain_scores_gemma":[0.9889263,0.007339287,0.0009942922,0.00048403343,0.0019621106,0.00029393216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030740967,0.0015646889,0.0010324705,0.0018600549,0.0008510067,0.0019241917,0.0013905512,0.000978543,0.0015088839],"category_scores_gemma":[0.012366557,0.0004139971,0.0005543478,0.0017911819,0.0011925577,0.0013006484,0.0012614718,0.000857329,0.00024274517],"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":[0.00049297226,0.000109289394,0.0025442264,0.00014315735,0.00007876107,0.00024539675,0.00013600285,0.9534238,0.0072087753,0.019006344,0.0005949491,0.016016308],"study_design_scores_gemma":[0.000009130186,0.00008122992,0.00054404157,0.000008614906,0.00001966591,0.00006533297,0.000027147033,0.996555,0.00072394504,0.0018493197,0.000104032864,0.000012528471],"about_ca_topic_score_codex":0.011695992,"about_ca_topic_score_gemma":0.0056197597,"teacher_disagreement_score":0.011695992,"about_ca_system_score_codex":0.0035403396,"about_ca_system_score_gemma":0.0024725394,"threshold_uncertainty_score":0.025687039},"labels":[],"label_agreement":null},{"id":"W2151925996","doi":"10.1109/tvt.2008.925002","title":"Simplified Fair Scheduling and Antenna Selection Algorithms for Multiuser MIMO Orthogonal Space-Division Multiplexing Downlink","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Telecommunications link; Computer science; MIMO; Algorithm; Scheduling (production processes); Precoding; Base station; Multi-user MIMO; Multiplexing; Orthogonal frequency-division multiplexing; Greedy algorithm; Spatial multiplexing; Mathematical optimization; Channel (broadcasting); Mathematics; Computer network; Telecommunications","score_opus":0.011999481223550271,"score_gpt":0.24497363102460704,"score_spread":0.23297414980105677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151925996","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":[0.021725552,0.00033675117,0.9759858,0.00011285464,0.000051671483,0.00006467429,0.000039468974,0.00022898805,0.0014542913],"genre_scores_gemma":[0.7358142,0.00055134454,0.2607104,0.00012931625,0.00011972589,0.00019244335,0.00012434217,0.000064107764,0.0022940594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987435,0.00050861324,0.00004292924,0.00010410454,0.00043036375,0.00017043982],"domain_scores_gemma":[0.9979674,0.0010672063,0.00022285558,0.00030023235,0.0003552406,0.00008704301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017974345,0.00089133147,0.0010073094,0.000597205,0.0005801531,0.0010240927,0.0011526034,0.00059972564,0.0014623412],"category_scores_gemma":[0.0057189805,0.000375708,0.0004213228,0.00085230876,0.00090129854,0.0012202413,0.00069945946,0.0006369872,0.00032926194],"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":[0.00011046754,0.00003813864,0.00021947503,0.000027084045,0.000015644726,0.000026824062,0.000040685503,0.95617574,0.0013845292,0.0119030215,0.00058078556,0.02947762],"study_design_scores_gemma":[0.000018194074,0.000020211579,0.000055646047,0.0000014410008,0.0000039111487,0.0000078082285,0.000004605757,0.99612206,0.00041450138,0.003077105,0.0002710641,0.0000034817606],"about_ca_topic_score_codex":0.0071031987,"about_ca_topic_score_gemma":0.0071600387,"teacher_disagreement_score":0.0071031987,"about_ca_system_score_codex":0.001905721,"about_ca_system_score_gemma":0.002146845,"threshold_uncertainty_score":0.014123738},"labels":[],"label_agreement":null},{"id":"W2152210784","doi":"10.1109/tvt.2010.2049040","title":"Enhanced Detection Performance of Indoor GNSS Signals Based on Synthetic Aperture","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Multipath propagation; GNSS applications; Computer science; Fading; Decorrelation; Antenna (radio); Rayleigh fading; Electronic engineering; Remote sensing; Telecommunications; Global Positioning System; Engineering; Computer vision; Channel (broadcasting); Geography","score_opus":0.0039107193352133736,"score_gpt":0.18814437062114656,"score_spread":0.1842336512859332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152210784","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":[0.7763685,0.00051370467,0.2178066,0.000096760385,0.000041368457,0.00001197267,0.000070725684,0.0008918224,0.0041986727],"genre_scores_gemma":[0.9633142,0.00014113837,0.035657667,0.00003467107,0.000017543718,0.000005606759,0.00010652038,0.000023875547,0.00069878594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99935514,0.00015789345,0.000017358767,0.00011554707,0.0002622787,0.00009174532],"domain_scores_gemma":[0.9992436,0.00032252987,0.00013790165,0.00007477024,0.00018546167,0.000035703404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006355779,0.00045952073,0.000500354,0.00038965905,0.00014093147,0.00044407844,0.0003201325,0.00041849358,0.00047196646],"category_scores_gemma":[0.0014496862,0.00016446043,0.0002350762,0.00038343505,0.00044796997,0.00040620775,0.00050663494,0.00030173073,0.00021709687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026837012,0.00016180755,0.020769479,0.00025076233,0.00025647454,0.0004963286,0.00036074975,0.2700982,0.47877964,0.007175939,0.0011276215,0.2178393],"study_design_scores_gemma":[0.000035165147,0.00043445072,0.008821959,0.000013891746,0.00006285255,0.00038830558,0.0000582081,0.7945847,0.19391386,0.00062675227,0.0010084298,0.00005134139],"about_ca_topic_score_codex":0.00095319847,"about_ca_topic_score_gemma":0.0009442776,"teacher_disagreement_score":0.00095319847,"about_ca_system_score_codex":0.00024824927,"about_ca_system_score_gemma":0.00034760454,"threshold_uncertainty_score":0.0033612847},"labels":[],"label_agreement":null},{"id":"W2152398135","doi":"10.1109/tvt.2010.2046431","title":"A Cooperative Multicast Strategy in Wireless Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Multicast; Computer network; Computer science; Xcast; Source-specific multicast; Pragmatic General Multicast; Protocol Independent Multicast; Relay; Fading; Wireless; Wireless network; Network packet; Reliable multicast; Reliability (semiconductor); Distributed computing; Channel (broadcasting); Telecommunications","score_opus":0.01733771149572142,"score_gpt":0.2647272802637146,"score_spread":0.2473895687679932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152398135","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":[0.037784208,0.0020049692,0.9387447,0.00091756764,0.00019998493,0.00012930247,0.000045053395,0.00019813611,0.01997597],"genre_scores_gemma":[0.885723,0.0014899778,0.1046592,0.00034131168,0.00019642095,0.00026613646,0.00005852518,0.000038538583,0.0072268774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942774,0.0002646428,0.000021873548,0.0000727606,0.0001620561,0.000050927312],"domain_scores_gemma":[0.9995453,0.00022663387,0.000051568448,0.00005903179,0.0000848735,0.00003259697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008615535,0.0006014079,0.0004803968,0.00051747984,0.0006883433,0.00087677164,0.0010183525,0.0012305358,0.000963015],"category_scores_gemma":[0.0018481726,0.00017696571,0.00033097208,0.0006502235,0.0007660876,0.0013324408,0.00088520965,0.0005157657,0.00030234753],"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":[0.00014355073,0.000118334574,0.00049706886,0.00028601175,0.000080803904,0.0004751594,0.0005241471,0.16252068,0.022954162,0.6836752,0.007664053,0.12106083],"study_design_scores_gemma":[0.000035509187,0.0001731964,0.0001565944,0.00003714502,0.0000315762,0.00030790336,0.00008680454,0.77679425,0.0026555958,0.2084358,0.011266076,0.000019635823],"about_ca_topic_score_codex":0.00039127225,"about_ca_topic_score_gemma":0.00040622673,"teacher_disagreement_score":0.0012305358,"about_ca_system_score_codex":0.0005327003,"about_ca_system_score_gemma":0.0004369371,"threshold_uncertainty_score":0.0045564175},"labels":[],"label_agreement":null},{"id":"W2153927736","doi":"10.1109/tvt.2006.873824","title":"Maintaining Reliability Through Activity Management in an 802.15.4 Sensor Cluster","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":43,"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 Manitoba","funders":"","keywords":"Probabilistic logic; Reliability (semiconductor); Cluster (spacecraft); Wireless sensor network; Event (particle physics); Physical layer; Computer science; Reliability engineering; Computer network; Real-time computing; Engineering; Telecommunications; Wireless","score_opus":0.00906538622874357,"score_gpt":0.23718421522561678,"score_spread":0.22811882899687322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153927736","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":[0.5596088,0.0005279581,0.43677014,0.00025399623,0.00003737601,0.000069610825,0.000033820364,0.000795044,0.0019032622],"genre_scores_gemma":[0.98543084,0.000078132536,0.0140980985,0.000012955359,0.000010895449,0.000022566315,0.000012697488,0.00001437925,0.0003194041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913424,0.0002303084,0.000064142216,0.00013706072,0.00026243264,0.0001717994],"domain_scores_gemma":[0.9971945,0.0010288025,0.00062077405,0.00041122639,0.0005995092,0.00014521842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018512083,0.0005595045,0.00044761656,0.0005395663,0.00041349998,0.00071489206,0.0011237256,0.00033307547,0.000276885],"category_scores_gemma":[0.0043745167,0.0002959577,0.00022486529,0.00039525365,0.00070766493,0.0013373966,0.0007612536,0.00044681408,0.00009150351],"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":[0.0012006566,0.00025687553,0.010862237,0.00017401105,0.000103026774,0.0001984613,0.00045335887,0.76341075,0.10142621,0.013479479,0.0007862228,0.107648656],"study_design_scores_gemma":[0.00003237067,0.00035630088,0.002449729,0.000008949406,0.000052793315,0.000112976864,0.00006344351,0.97009605,0.02078055,0.005184078,0.0008303247,0.00003227794],"about_ca_topic_score_codex":0.0013483417,"about_ca_topic_score_gemma":0.0014524547,"teacher_disagreement_score":0.0018512083,"about_ca_system_score_codex":0.0007219855,"about_ca_system_score_gemma":0.0009219157,"threshold_uncertainty_score":0.009790182},"labels":[],"label_agreement":null},{"id":"W2154818933","doi":"10.1109/25.832976","title":"A combined soft-decision deinterleaver/decoder for the IS95 reverse link","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"Queen's University; Nortel (Canada)","funders":"","keywords":"Convolutional code; Decoding methods; Soft-decision decoder; Viterbi decoder; Interleaving; Computer science; Algorithm; Encoding (memory); Intersymbol interference; Bit error rate; Sequential decoding; Overhead (engineering); Error detection and correction; Viterbi algorithm; Block code; Artificial intelligence","score_opus":0.009100716613814555,"score_gpt":0.24018514636487545,"score_spread":0.2310844297510609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154818933","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07407984,0.0008887195,0.9139837,0.00029386536,0.00017050043,0.00015256414,0.00017080134,0.0019709424,0.008289005],"genre_scores_gemma":[0.44768173,0.00030434475,0.53637177,0.0003101007,0.00009395875,0.00008751272,0.0003846389,0.00007655507,0.014689319],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990694,0.00012345967,0.000057000645,0.000120430435,0.0005366666,0.00009303676],"domain_scores_gemma":[0.99919313,0.00021787571,0.0000894962,0.0001516892,0.00030610285,0.000041717354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054812414,0.00067293906,0.0005661721,0.00051079906,0.00042142623,0.0008738425,0.0012139104,0.00094080484,0.0035687843],"category_scores_gemma":[0.00095494225,0.0003886068,0.00035819225,0.0003459814,0.00037037546,0.0008206825,0.0008377574,0.00096621836,0.0022939928],"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":[0.0015306603,0.0002984991,0.0026423815,0.00029867425,0.00023317276,0.00034367197,0.00010338584,0.041504946,0.38208202,0.014598007,0.0038021381,0.55256253],"study_design_scores_gemma":[0.00014561313,0.0008987162,0.0011787917,0.00005307872,0.00017149387,0.0015721623,0.000034196873,0.4354548,0.54070103,0.0024683508,0.01725219,0.000069553156],"about_ca_topic_score_codex":0.0010295995,"about_ca_topic_score_gemma":0.0032652572,"teacher_disagreement_score":0.0035687843,"about_ca_system_score_codex":0.00051706814,"about_ca_system_score_gemma":0.0010044255,"threshold_uncertainty_score":0.01193881},"labels":[],"label_agreement":null},{"id":"W2155030987","doi":"10.1109/tvt.2007.897210","title":"Analysis of New Distributed-Media Access-Control Schemes for IEEE 802.11 Wireless Local-Area Networks","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","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":"Western University","funders":"","keywords":"Distributed coordination function; Computer science; Throughput; Overhead (engineering); Computer network; Reset (finance); IEEE 802.11; Network allocation vector; Access control; Wireless network; Wireless; Telecommunications","score_opus":0.01721057895337881,"score_gpt":0.2755108776064194,"score_spread":0.2583002986530406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155030987","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":[0.048573054,0.0019251961,0.94234866,0.00034627234,0.00016240976,0.00018955565,0.00007566121,0.0002371462,0.006141937],"genre_scores_gemma":[0.8833892,0.0013138837,0.11212824,0.000116146315,0.00014198267,0.0002200749,0.00009424608,0.000051760584,0.0025444804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769956,0.00048819484,0.00012604744,0.00024285412,0.0012025654,0.00024076758],"domain_scores_gemma":[0.99676174,0.0015593134,0.00037184486,0.0004107415,0.0008278,0.00006856276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003543204,0.000999896,0.00074356573,0.0010879573,0.00074649265,0.0013120371,0.0018445336,0.0007268005,0.0016189327],"category_scores_gemma":[0.008790053,0.0003645897,0.0006943088,0.0010765889,0.00090907025,0.0023515902,0.00070497714,0.00091639755,0.00022627015],"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":[0.00027143495,0.00023113095,0.001665332,0.00031831922,0.000106297375,0.00020396516,0.00018578644,0.72665715,0.015282959,0.15912928,0.0019235243,0.09402478],"study_design_scores_gemma":[0.000010389462,0.0000364448,0.00017682282,0.000008209544,0.000015104357,0.00004555348,0.0000073689603,0.9927665,0.0010853737,0.0050774766,0.00076400576,0.0000067423944],"about_ca_topic_score_codex":0.002096187,"about_ca_topic_score_gemma":0.002030902,"teacher_disagreement_score":0.003543204,"about_ca_system_score_codex":0.003206608,"about_ca_system_score_gemma":0.0015096513,"threshold_uncertainty_score":0.02326572},"labels":[],"label_agreement":null},{"id":"W2156662959","doi":"10.1109/tvt.2011.2138176","title":"Bandwidth-Efficient Bit-Interleaved Coded Modulation Over NAF Relay Channels: Error Performance and Precoder Design","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"McGill University","funders":"","keywords":"Relay; Algorithm; Bandwidth (computing); Computer science; Upper and lower bounds; Cramér–Rao bound; Modulation (music); Bit error rate; Euclidean distance; Superposition principle; Channel (broadcasting); Topology (electrical circuits); Mathematics; Telecommunications; Combinatorics; Decoding methods; Estimation theory; Artificial intelligence; Physics; Mathematical analysis","score_opus":0.0505269807513634,"score_gpt":0.24961554517677462,"score_spread":0.19908856442541123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156662959","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.091576666,0.0011032819,0.90248996,0.00017448333,0.000024590152,0.00003713675,0.00007333489,0.00018361851,0.004336868],"genre_scores_gemma":[0.88721895,0.0010878101,0.10987898,0.000060820665,0.000035837584,0.000049120015,0.00008686059,0.000029557055,0.0015520678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989988,0.00028895077,0.00004204335,0.000117752345,0.00045890454,0.00009365215],"domain_scores_gemma":[0.9980768,0.0010913957,0.00025604348,0.00018072211,0.00037060294,0.000024407935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009554847,0.0007010912,0.00045991162,0.00031927176,0.00024388214,0.0008561351,0.00055520865,0.0007333125,0.00079759856],"category_scores_gemma":[0.004472183,0.00023047859,0.00017303143,0.0003974415,0.0005610944,0.00093792565,0.00045567148,0.00050125335,0.00036158404],"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":[0.00046228388,0.000080778154,0.0026928517,0.00036822402,0.00009633293,0.00026698643,0.00030993394,0.74566233,0.0950091,0.04962534,0.00064360484,0.10478225],"study_design_scores_gemma":[0.00001092627,0.000118337186,0.00044803304,0.000028577251,0.000020739519,0.00017547308,0.000027550623,0.96434,0.03031391,0.0036606311,0.0008339921,0.000021844655],"about_ca_topic_score_codex":0.002190313,"about_ca_topic_score_gemma":0.002924626,"teacher_disagreement_score":0.002190313,"about_ca_system_score_codex":0.0006764544,"about_ca_system_score_gemma":0.0007577701,"threshold_uncertainty_score":0.005053103},"labels":[],"label_agreement":null},{"id":"W2156681981","doi":"10.1109/tvt.2009.2021180","title":"System Design and Throughput Analysis for Multihop Relaying in Cellular Systems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Throughput; Computer network; Relay; Computer science; Overhead (engineering); Cellular network; Physical layer; Reuse; Path loss; Spectral efficiency; Wireless; Distributed computing; Engineering; Channel (broadcasting); Telecommunications","score_opus":0.03234872205798616,"score_gpt":0.2617179702477937,"score_spread":0.22936924818980753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156681981","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":[0.040999394,0.0012713341,0.94139194,0.00030237072,0.000050807528,0.00014590658,0.00025931853,0.00049411133,0.01508476],"genre_scores_gemma":[0.9228952,0.0015507074,0.06735054,0.00011845833,0.00011824693,0.00031719176,0.00027277824,0.00014657047,0.0072302064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998917,0.0004670232,0.000027994787,0.00011867533,0.00034208773,0.0001272596],"domain_scores_gemma":[0.99867755,0.00077357824,0.00012195857,0.00008376066,0.00031945607,0.000023812485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097329984,0.0008192811,0.0006249755,0.0008441629,0.0006485008,0.0012631225,0.0005158608,0.0006428705,0.0054314956],"category_scores_gemma":[0.0028212308,0.00031470487,0.0006453463,0.00090330094,0.00050109497,0.0010000898,0.0004814195,0.00066135416,0.00081373134],"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":[0.00005001645,0.000026972177,0.0005423032,0.00008538893,0.000031148553,0.0001098734,0.00007421195,0.9563929,0.0037337241,0.025939314,0.0011976437,0.01181656],"study_design_scores_gemma":[0.0000035996595,0.000030702275,0.00020909465,0.000006442559,0.000011349252,0.000030913932,0.000016447242,0.99524826,0.0007263293,0.002899439,0.0008124512,0.000004909183],"about_ca_topic_score_codex":0.006131992,"about_ca_topic_score_gemma":0.004878898,"teacher_disagreement_score":0.006131992,"about_ca_system_score_codex":0.0024765804,"about_ca_system_score_gemma":0.0008793611,"threshold_uncertainty_score":0.018170178},"labels":[],"label_agreement":null},{"id":"W2157291908","doi":"10.1109/tvt.2006.878725","title":"Optimized Delay Diversity for Suboptimum Equalization","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"University of British Columbia","funders":"","keywords":"Equalization (audio); Fading; Computer science; Bit error rate; Transmitter; Transmission (telecommunications); Channel (broadcasting); Diversity combining; GSM; Channel state information; Wireless; Electronic engineering; Diversity scheme; Algorithm; Telecommunications; Engineering","score_opus":0.010996255579594874,"score_gpt":0.23038450763389873,"score_spread":0.21938825205430385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157291908","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":[0.027838636,0.00044517245,0.9676317,0.000102588754,0.000027849985,0.00002076543,0.000038917842,0.00013184648,0.00376253],"genre_scores_gemma":[0.73900527,0.0004428866,0.2560798,0.00008345364,0.00004535224,0.00007255136,0.000072509305,0.000069505644,0.004128614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964225,0.00010986115,0.000013275558,0.00005408744,0.00012024189,0.00006033119],"domain_scores_gemma":[0.9996712,0.0001870576,0.000039437266,0.000035799683,0.000054829925,0.000011725916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004663888,0.0006156523,0.00056320813,0.00028890432,0.00020227558,0.0007098784,0.00035823442,0.0004193214,0.0016383125],"category_scores_gemma":[0.0010800636,0.00030214584,0.00030980667,0.00044386895,0.00044438205,0.0006849177,0.0005222773,0.00043686986,0.000332396],"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":[0.00013053647,0.000027390804,0.00029257397,0.000067162124,0.00004191119,0.000047212114,0.000052131414,0.88959086,0.015928248,0.036669392,0.00081565534,0.05633701],"study_design_scores_gemma":[0.000011399544,0.000031755917,0.000071821356,0.000004896836,0.000007595856,0.000025506253,0.0000046729724,0.9894879,0.0034366176,0.0060218507,0.0008896001,0.0000063777675],"about_ca_topic_score_codex":0.0008673221,"about_ca_topic_score_gemma":0.0013652061,"teacher_disagreement_score":0.0016383125,"about_ca_system_score_codex":0.00081088475,"about_ca_system_score_gemma":0.0007296831,"threshold_uncertainty_score":0.0058834553},"labels":[],"label_agreement":null},{"id":"W2157480020","doi":"10.1109/tvt.2009.2037884","title":"A Compact Dual-Port Diversity Antenna for Long-Term Evolution Handheld Devices","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Antenna diversity; Antenna (radio); Mobile device; Electronic engineering; Link budget; Computer science; Wireless; Diversity gain; Electrical engineering; Engineering; Telecommunications; MIMO","score_opus":0.013164322666465606,"score_gpt":0.22572790729776884,"score_spread":0.21256358463130323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157480020","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":[0.0794235,0.0011655135,0.9075503,0.00042608997,0.00028138826,0.000041725787,0.000121233934,0.00088388816,0.010106327],"genre_scores_gemma":[0.7493219,0.0005792151,0.23842564,0.00050727784,0.00020636489,0.000118964315,0.00021368431,0.000057000714,0.010570093],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980897,0.000038632177,0.000010517616,0.000035062727,0.000082700004,0.000024115114],"domain_scores_gemma":[0.99972314,0.000058427213,0.00004810934,0.000052080348,0.000093848306,0.000024454024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015002268,0.00045895862,0.00037102608,0.0002346015,0.00015865678,0.00051405915,0.0007974641,0.0008070901,0.0016260165],"category_scores_gemma":[0.00031018764,0.00020544913,0.00035309204,0.00035571947,0.00014835926,0.0005315431,0.0003896696,0.0006072906,0.0011699403],"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":[0.00037515658,0.00007790342,0.0019148255,0.0002350441,0.00008530255,0.000771522,0.00007823347,0.013805762,0.7230186,0.0077525517,0.005026615,0.24685837],"study_design_scores_gemma":[0.00024578493,0.0029784779,0.007910744,0.00013455655,0.00020728633,0.011967617,0.00013019238,0.40104428,0.47680318,0.0058242963,0.09254532,0.00020834136],"about_ca_topic_score_codex":0.00013763888,"about_ca_topic_score_gemma":0.00017547616,"teacher_disagreement_score":0.0016260165,"about_ca_system_score_codex":0.00032165725,"about_ca_system_score_gemma":0.00016700735,"threshold_uncertainty_score":0.0054395795},"labels":[],"label_agreement":null},{"id":"W2157719907","doi":"10.1109/tvt.2007.912139","title":"Performance Analysis of Prioritized MAC in UWB WPAN With Bursty Multimedia Traffic","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":45,"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 Waterloo","funders":"","keywords":"Computer science; Quality of service; Computer network; Frame (networking); Channel (broadcasting); Personal area network; Provisioning; Wireless; Transmission (telecommunications); Real-time computing; Multimedia; Telecommunications","score_opus":0.007362314415802607,"score_gpt":0.19549218103212782,"score_spread":0.18812986661632522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157719907","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":[0.8769346,0.0024186478,0.11280255,0.00033923652,0.00007597664,0.00006156885,0.00013445372,0.00045921616,0.0067737945],"genre_scores_gemma":[0.99501204,0.00032349778,0.004104125,0.000030258756,0.000019814337,0.000017124445,0.000034623812,0.000014801299,0.00044369441],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878794,0.00032487413,0.00004760796,0.00011899487,0.0004757535,0.0002448126],"domain_scores_gemma":[0.99346775,0.004559244,0.0005333573,0.00021365802,0.001084414,0.00014149299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020037661,0.000925168,0.00068713666,0.0012620108,0.00073743874,0.0010541752,0.00074373547,0.00069799385,0.00092937215],"category_scores_gemma":[0.0061482848,0.00026962822,0.0002563765,0.0009802595,0.00070426875,0.0007135457,0.00057736103,0.0005544437,0.00014231917],"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":[0.0012435296,0.0001698399,0.006737293,0.00019896275,0.00011353824,0.0004978731,0.0002833932,0.9035827,0.043840904,0.012807517,0.00066819217,0.029856184],"study_design_scores_gemma":[0.000006720387,0.00014387236,0.00081556797,0.000005911522,0.000018686516,0.000060712628,0.0000334493,0.9957247,0.0025831624,0.0005023243,0.00009575624,0.000009149921],"about_ca_topic_score_codex":0.0077274134,"about_ca_topic_score_gemma":0.003721461,"teacher_disagreement_score":0.0077274134,"about_ca_system_score_codex":0.0022295914,"about_ca_system_score_gemma":0.0010262879,"threshold_uncertainty_score":0.01617688},"labels":[],"label_agreement":null},{"id":"W2158108008","doi":"10.1109/tvt.2008.924988","title":"An Empirical Model for Nonstationary Ricean Fading","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fading; Fading distribution; Envelope (radar); Autoregressive model; Autocorrelation; Weibull fading; Channel state information; Channel (broadcasting); Statistical physics; Computer science; Mathematics; Statistics; Algorithm; Telecommunications; Physics; Rayleigh fading; Wireless","score_opus":0.025336738150492324,"score_gpt":0.2807794254653575,"score_spread":0.2554426873148652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158108008","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":[0.12383674,0.00040010217,0.867358,0.00050655927,0.000075543714,0.00010336075,0.00054145954,0.00064142386,0.0065367226],"genre_scores_gemma":[0.94688684,0.0010334511,0.04241219,0.00020642101,0.000109436965,0.00022765876,0.0009571438,0.00011200857,0.008054821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920684,0.00017381807,0.00004197469,0.0002225857,0.0002471551,0.00010772558],"domain_scores_gemma":[0.9971347,0.0013679091,0.0004876254,0.00044096616,0.0005223858,0.000046396006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013824411,0.0006224108,0.00055092474,0.00067616237,0.00030337085,0.0008438986,0.0013369604,0.0011450672,0.0016644797],"category_scores_gemma":[0.005877911,0.00039805347,0.0005069335,0.0010632297,0.0007821408,0.0019059216,0.00045111688,0.0013769101,0.0009888343],"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":[0.000075759825,0.00009104289,0.008119775,0.00008616562,0.000056726716,0.00035137258,0.00027096507,0.88930684,0.0047724205,0.06797379,0.0024332239,0.026461972],"study_design_scores_gemma":[0.000011288246,0.000062760846,0.0029011208,0.000012452564,0.00001539108,0.00022139211,0.000042459233,0.98251545,0.00062523,0.011606321,0.0019607027,0.000025411347],"about_ca_topic_score_codex":0.0045764856,"about_ca_topic_score_gemma":0.0033164944,"teacher_disagreement_score":0.0045764856,"about_ca_system_score_codex":0.00069382926,"about_ca_system_score_gemma":0.0006091903,"threshold_uncertainty_score":0.009099662},"labels":[],"label_agreement":null},{"id":"W2158116022","doi":"10.1109/tvt.2009.2013235","title":"Network Lifetime Maximization With Node Admission in Wireless Multimedia Sensor Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":33,"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 Alberta","funders":"University of Alberta","keywords":"Computer science; Computer network; Quality of service; Wireless sensor network; Scheduling (production processes); Node (physics); Cross-layer optimization; Wireless; Wireless network; Maximization; Key distribution in wireless sensor networks; Transmission (telecommunications); Optimization problem; Multimedia; Engineering; Telecommunications; Mathematical optimization","score_opus":0.005701544862313145,"score_gpt":0.20332397646645725,"score_spread":0.1976224316041441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158116022","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05802578,0.0019836898,0.934266,0.0006191061,0.00006731035,0.00010257713,0.000060920825,0.00019648386,0.004678222],"genre_scores_gemma":[0.9343844,0.0012468287,0.059925873,0.00013999692,0.000119170625,0.00015894836,0.00006278881,0.00006794277,0.003894107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986499,0.00070207217,0.000040367417,0.0001620562,0.00023168957,0.00021399416],"domain_scores_gemma":[0.9976891,0.0016643801,0.0002575213,0.00007232658,0.00017363153,0.00014307135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029005061,0.0012794189,0.0011099313,0.00065007666,0.00056850683,0.0011414477,0.0013918079,0.0013010845,0.0016308608],"category_scores_gemma":[0.006067927,0.0007442293,0.00062162266,0.0010693368,0.0012900259,0.0017407316,0.0016761723,0.001225735,0.00018388325],"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":[0.000105028004,0.000033494616,0.000377192,0.00008428187,0.000021971,0.0000819394,0.0000664935,0.97001004,0.0016221062,0.015723104,0.00045757208,0.011416791],"study_design_scores_gemma":[0.000008395898,0.00002561387,0.000072513096,0.0000048779393,0.000006787628,0.000015151841,0.000009794535,0.99173146,0.0004004464,0.0074857525,0.0002339814,0.000005316316],"about_ca_topic_score_codex":0.0026881888,"about_ca_topic_score_gemma":0.0018036377,"teacher_disagreement_score":0.0029005061,"about_ca_system_score_codex":0.0018479035,"about_ca_system_score_gemma":0.0013058909,"threshold_uncertainty_score":0.015339553},"labels":[],"label_agreement":null},{"id":"W2158331908","doi":"10.1109/tvt.2007.906379","title":"A Comparative Study of Fuel-Cell–Battery, Fuel-Cell–Ultracapacitor, and Fuel-Cell–Battery–Ultracapacitor Vehicles","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":358,"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 Waterloo","funders":"","keywords":"Powertrain; Battery (electricity); Automotive engineering; Supercapacitor; Electric vehicle; Fuel cells; Engineering; MATLAB; Hybrid vehicle; Controller (irrigation); Computer science; Power (physics); Torque; Capacitance","score_opus":0.015356873624905515,"score_gpt":0.2150564866275881,"score_spread":0.1996996130026826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158331908","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":[0.9504389,0.003185533,0.01784421,0.00016882464,0.000036344,0.000049994313,0.0002215914,0.000095043964,0.027959568],"genre_scores_gemma":[0.9960813,0.00047946913,0.001720374,0.0000091596075,0.000008726748,0.000012794564,0.00013995274,0.000017525996,0.0015308198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99961436,0.000093598566,0.000012705481,0.000039268394,0.00015259226,0.00008740077],"domain_scores_gemma":[0.99944085,0.00030162424,0.000038635157,0.000023843619,0.00015372614,0.00004132175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063779793,0.0005323838,0.00079999596,0.000873294,0.00044890784,0.0008927683,0.0005419605,0.0004669698,0.0022506895],"category_scores_gemma":[0.0012182153,0.00021080444,0.00045254358,0.00072112563,0.00029483848,0.0013589762,0.00035470305,0.00020912521,0.00022097581],"study_design_candidate":"observational","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":[0.0013608083,0.00024291892,0.0062729185,0.00042006504,0.00010742906,0.0003926917,0.00010094587,0.9088948,0.011115288,0.010509507,0.0012099125,0.059372786],"study_design_scores_gemma":[0.0000488471,0.0016804184,0.01168547,0.000039944032,0.00007703879,0.00027476402,0.00051289884,0.9599583,0.01634152,0.0052854777,0.004039848,0.000055398385],"about_ca_topic_score_codex":0.0025813757,"about_ca_topic_score_gemma":0.003268917,"teacher_disagreement_score":0.0025813757,"about_ca_system_score_codex":0.00059908285,"about_ca_system_score_gemma":0.00037000034,"threshold_uncertainty_score":0.0075293183},"labels":[],"label_agreement":null},{"id":"W2158410938","doi":"10.1109/tvt.2010.2080295","title":"OFDM With Iterative Blind Channel Estimation","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Subcarrier; Channel (broadcasting); Robustness (evolution); Algorithm; Kalman filter; Computer science; Bit error rate; Electronic engineering; Control theory (sociology); Statistics; Engineering; Mathematics; Telecommunications","score_opus":0.007212875213001953,"score_gpt":0.23347127819514332,"score_spread":0.22625840298214137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158410938","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":[0.0074457107,0.00021236448,0.9901821,0.00004912824,0.00003888825,0.000019036908,0.000028104316,0.00043019088,0.0015944267],"genre_scores_gemma":[0.25851354,0.00034763158,0.7373279,0.00007828659,0.000073797775,0.00008837054,0.000095279895,0.000045389974,0.003429939],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955183,0.000102092956,0.00002426447,0.000069290945,0.00020650818,0.00004591336],"domain_scores_gemma":[0.9994382,0.00023014219,0.00007107179,0.00012278605,0.000118865624,0.000018782142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196011,0.00039806732,0.000468924,0.00038362242,0.00033000798,0.00057209766,0.0004783777,0.000658101,0.0011195504],"category_scores_gemma":[0.0019623656,0.0002304443,0.00034959186,0.00047019517,0.00037836764,0.00090617104,0.0008311012,0.00058747944,0.0006113389],"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":[0.00042443437,0.00011602395,0.0016753998,0.0002691347,0.00011895936,0.00030643295,0.0002489469,0.2909819,0.05870581,0.039553847,0.0034560433,0.60414314],"study_design_scores_gemma":[0.000027702474,0.00008916417,0.00038115936,0.00001593285,0.000020229654,0.0003407565,0.000011784176,0.9686623,0.01895983,0.006229619,0.0052337,0.00002775147],"about_ca_topic_score_codex":0.0009826603,"about_ca_topic_score_gemma":0.0014690002,"teacher_disagreement_score":0.0011195504,"about_ca_system_score_codex":0.00031180857,"about_ca_system_score_gemma":0.00070862996,"threshold_uncertainty_score":0.0037452579},"labels":[],"label_agreement":null},{"id":"W2158817209","doi":"10.1109/tvt.2009.2021600","title":"A Low-Complexity Decision-Directed Channel-Estimation Scheme for OFDM Systems With Space–Frequency Diversity in Doubly Selective Fading Channels","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"University of Calgary","funders":"","keywords":"Orthogonal frequency-division multiplexing; Fading; Algorithm; Channel (broadcasting); Computational complexity theory; Block (permutation group theory); Computer science; Multiplexing; Transmit diversity; Diversity scheme; QR decomposition; Mathematics; Frequency-division multiplexing; Control theory (sociology); Telecommunications; Eigenvalues and eigenvectors; Artificial intelligence","score_opus":0.020194698706350336,"score_gpt":0.25241728724448576,"score_spread":0.23222258853813543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158817209","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":[0.012643392,0.00023509958,0.98606735,0.00008259015,0.000032471675,0.000037648948,0.000023266115,0.00018597837,0.0006921922],"genre_scores_gemma":[0.4208489,0.00022929386,0.57720065,0.000119730765,0.000058415866,0.000075943026,0.00009518951,0.000014161617,0.0013578438],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994492,0.00018852689,0.000030046702,0.00007241245,0.00020924081,0.00005066014],"domain_scores_gemma":[0.9993005,0.00027976776,0.00009405713,0.00013847923,0.00016357115,0.00002357493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070589955,0.00049222854,0.00044875918,0.00026788656,0.0003548551,0.0004303634,0.00080372853,0.00051817996,0.00095366983],"category_scores_gemma":[0.0017811831,0.00019760455,0.00022019238,0.0003049617,0.00040795695,0.0006615505,0.0005820595,0.00066758355,0.0004176431],"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":[0.0005127626,0.00018431466,0.0013625493,0.00035577558,0.00010317544,0.00024591511,0.0002815823,0.21708031,0.11226079,0.04000845,0.0025721935,0.6250321],"study_design_scores_gemma":[0.00007360045,0.00021847372,0.00037048626,0.000018731575,0.000037684327,0.00022945099,0.000023001854,0.9630524,0.02982923,0.0031411846,0.0029625744,0.000043141394],"about_ca_topic_score_codex":0.0008419228,"about_ca_topic_score_gemma":0.0019926187,"teacher_disagreement_score":0.00095366983,"about_ca_system_score_codex":0.00031424436,"about_ca_system_score_gemma":0.0007719241,"threshold_uncertainty_score":0.0037332177},"labels":[],"label_agreement":null},{"id":"W2158945956","doi":"10.1109/tvt.2008.924973","title":"Efficient Sum Rate Maximization and Resource Allocation in Block-Diagonalized Space-Division Multiplexing","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"University of Alberta","funders":"","keywords":"Maximization; Computer science; Telecommunications link; Multiplexing; Selection (genetic algorithm); Mathematical optimization; Block (permutation group theory); Space-division multiple access; Resource allocation; MIMO; Antenna (radio); Scheduling (production processes); Computer network; Beamforming; Mathematics; Telecommunications; Artificial intelligence","score_opus":0.006165000264455048,"score_gpt":0.21188311212874883,"score_spread":0.20571811186429378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158945956","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":[0.015694106,0.00050361664,0.97613055,0.00013942196,0.00003375077,0.00004928273,0.00006049647,0.0001799774,0.0072088516],"genre_scores_gemma":[0.59454656,0.0011792576,0.39571255,0.00016294868,0.00012929342,0.00030549426,0.00015313101,0.0001392468,0.0076715644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998844,0.0005668747,0.000036191046,0.00008822284,0.0003097192,0.0001550005],"domain_scores_gemma":[0.9991574,0.00052147894,0.00007152534,0.00009257594,0.00012594314,0.00003109719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013795162,0.0008926998,0.0006749433,0.00053752534,0.00043681194,0.001093346,0.0007309194,0.0004717615,0.0019874894],"category_scores_gemma":[0.0024172498,0.00041206743,0.0003673755,0.0012158088,0.0008984708,0.00091542886,0.0010710005,0.00074228895,0.0007268612],"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":[0.00017541029,0.00007787363,0.0002594198,0.00013972637,0.0000456596,0.00010311485,0.0001287103,0.75173503,0.012589725,0.13610101,0.0036435032,0.095000796],"study_design_scores_gemma":[0.000007423627,0.000020670312,0.000039016915,0.000004507706,0.0000031606519,0.000017601553,0.00000882141,0.98305327,0.0016801801,0.014505408,0.00065345364,0.0000064693236],"about_ca_topic_score_codex":0.00215703,"about_ca_topic_score_gemma":0.003089106,"teacher_disagreement_score":0.00215703,"about_ca_system_score_codex":0.0011575404,"about_ca_system_score_gemma":0.0012614214,"threshold_uncertainty_score":0.008398533},"labels":[],"label_agreement":null},{"id":"W2159152700","doi":"10.1109/tvt.2010.2045907","title":"Performance Analysis and Computational Complexity Comparison of Sequence Detection Receivers With No Explicit Channel Estimation","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","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":"University of Alberta","funders":"","keywords":"Algorithm; Decoding methods; Fading; Computational complexity theory; Block (permutation group theory); Pairwise error probability; Trellis (graph); Rayleigh fading; Channel (broadcasting); Detection theory; Channel state information; Computer science; Detector; Mathematics; Wireless; Telecommunications; Combinatorics","score_opus":0.01741676914247644,"score_gpt":0.26054352371337886,"score_spread":0.2431267545709024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159152700","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":[0.35314065,0.0017035129,0.63344365,0.0006080414,0.00007064828,0.00015107753,0.00025039777,0.0013463467,0.009285629],"genre_scores_gemma":[0.7977586,0.000745775,0.19861756,0.00014268994,0.000068421476,0.00017142302,0.0004225361,0.00011416502,0.0019589085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968028,0.0013943048,0.00015648472,0.00024899433,0.001061793,0.00033558646],"domain_scores_gemma":[0.9875552,0.009886642,0.0005383952,0.0006317917,0.0012359002,0.00015205292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027712474,0.00114839,0.0012248608,0.001185259,0.00040433308,0.0012658095,0.0014085262,0.00119666,0.0021369082],"category_scores_gemma":[0.014972269,0.0003496012,0.0004993151,0.001117881,0.0007177424,0.0016948082,0.0012289545,0.0006268672,0.0005775743],"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":[0.002329565,0.00021932407,0.0038944865,0.00024661853,0.00016169691,0.00020917432,0.0001236736,0.850826,0.015326204,0.019064507,0.0010981504,0.10650043],"study_design_scores_gemma":[0.000059289294,0.0002688299,0.00053099566,0.000008808904,0.000023564498,0.00014680008,0.000024028393,0.99194556,0.0052760206,0.0014823271,0.00021516095,0.000018612878],"about_ca_topic_score_codex":0.0025074412,"about_ca_topic_score_gemma":0.0025696054,"teacher_disagreement_score":0.0027712474,"about_ca_system_score_codex":0.0014730743,"about_ca_system_score_gemma":0.0017869711,"threshold_uncertainty_score":0.014655888},"labels":[],"label_agreement":null},{"id":"W2159715841","doi":"10.1109/tvt.2010.2065248","title":"Mobile Filter: Exploring Filter Migration for Error-Bounded Continuous Sensor Data Collection","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","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":"Simon Fraser University","funders":"","keywords":"Computer science; Filter (signal processing); Wireless sensor network; Overhead (engineering); Real-time computing; Network topology; Probabilistic logic; Computer network; Artificial intelligence","score_opus":0.03715374373661317,"score_gpt":0.25975067715175865,"score_spread":0.22259693341514547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159715841","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":[0.029116787,0.00011959406,0.9700665,0.000073747964,0.00001608681,0.00002550154,0.000014177699,0.0003305923,0.00023708504],"genre_scores_gemma":[0.6160585,0.00018578,0.38235074,0.00008410183,0.000047285543,0.00011333512,0.00008223561,0.00007676702,0.0010012989],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923444,0.00020886275,0.00005165522,0.00019732473,0.0002232343,0.00008444872],"domain_scores_gemma":[0.99721485,0.0016161143,0.00029335552,0.00043339012,0.0003453327,0.00009696653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017607965,0.00066489546,0.0006552044,0.00062674645,0.0005501497,0.00063406804,0.0014616081,0.00093744684,0.0005166282],"category_scores_gemma":[0.004653047,0.0003298655,0.00047052494,0.0007336323,0.00070384133,0.0016860066,0.00069591025,0.00048705863,0.00016227139],"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":[0.0005554692,0.00027232218,0.0045406823,0.00015531086,0.000110409725,0.00017642179,0.0004389524,0.6367919,0.04754995,0.014443819,0.0012331316,0.29373163],"study_design_scores_gemma":[0.000022763103,0.0001623866,0.00028291516,0.0000055671403,0.000012193637,0.000061908635,0.000031669606,0.98763925,0.00774612,0.0031286464,0.000896112,0.000010445778],"about_ca_topic_score_codex":0.002104443,"about_ca_topic_score_gemma":0.0016270803,"teacher_disagreement_score":0.002104443,"about_ca_system_score_codex":0.00058046833,"about_ca_system_score_gemma":0.0008180462,"threshold_uncertainty_score":0.009312093},"labels":[],"label_agreement":null},{"id":"W2159801046","doi":"10.1109/tvt.2008.2004494","title":"An Analysis of Probability Distribution of Doppler Shift in Three-Dimensional Mobile Radio Environments","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Probability density function; Doppler effect; Autocorrelation; Spectral density; Mathematics; Mathematical analysis; Probability distribution; SIGNAL (programming language); Statistic; Characteristic function (probability theory); Statistics; Acoustics; Statistical physics; Physics; Computer science","score_opus":0.007184960635725137,"score_gpt":0.20764472109535737,"score_spread":0.20045976045963224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159801046","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":[0.05002682,0.00049391435,0.9472537,0.00011555178,0.000018503524,0.00001685784,0.00008874419,0.00015703836,0.0018288345],"genre_scores_gemma":[0.94167644,0.001769997,0.054062333,0.00006435555,0.00007100679,0.000060737522,0.00024309264,0.00007766011,0.001974224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948823,0.00010084056,0.000021095722,0.00008957507,0.00023277299,0.00006744209],"domain_scores_gemma":[0.99625057,0.0026191252,0.00035874918,0.00017228954,0.0005207399,0.00007851807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011841034,0.00049979985,0.00052856473,0.0012364472,0.00032188796,0.000857904,0.00064230344,0.0005255543,0.0010092272],"category_scores_gemma":[0.006027917,0.0004028426,0.0005859411,0.0013609151,0.0008944542,0.0014088885,0.0005903007,0.0005160811,0.00027363558],"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":[0.0000855803,0.000022017693,0.006014655,0.00011564513,0.000056410412,0.0005169808,0.00024290258,0.8887038,0.007920072,0.067228995,0.0007247299,0.028368192],"study_design_scores_gemma":[0.0000039493375,0.000024241104,0.0027133997,0.000012788755,0.000010326333,0.0002350018,0.00004041346,0.9837669,0.0011331728,0.011273441,0.0007570185,0.0000292584],"about_ca_topic_score_codex":0.0027212352,"about_ca_topic_score_gemma":0.0012715238,"teacher_disagreement_score":0.0027212352,"about_ca_system_score_codex":0.00076608214,"about_ca_system_score_gemma":0.0005998056,"threshold_uncertainty_score":0.006262243},"labels":[],"label_agreement":null},{"id":"W2160216454","doi":"10.1109/tvt.2010.2046659","title":"Battery Storage Sizing in a Retrofitted Plug-in Hybrid Electric Vehicle","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Sizing; Automotive engineering; Battery (electricity); Electric vehicle; Engineering; Battery pack; Energy storage; Battery electric vehicle; Propulsion; Hybrid vehicle; Electrical engineering; Power (physics); Aerospace engineering","score_opus":0.0030607014777258804,"score_gpt":0.18311719353606812,"score_spread":0.18005649205834223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160216454","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":[0.4805822,0.00034296585,0.5009801,0.00029019712,0.00006190042,0.00017883164,0.00035947104,0.00049524376,0.01670918],"genre_scores_gemma":[0.98819554,0.00007847909,0.01029323,0.00001613329,0.0000042146735,0.0000386583,0.000056841094,0.000019042396,0.0012978278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998196,0.00007333953,0.0000056569556,0.000021976924,0.000043348304,0.000036190344],"domain_scores_gemma":[0.99970007,0.00017471277,0.000037119153,0.000012401988,0.00005491728,0.000020801614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005499998,0.00058575516,0.0007402841,0.0004091349,0.0003620526,0.0007515237,0.0009987772,0.0005530376,0.0017506226],"category_scores_gemma":[0.000981471,0.0006059966,0.0005499374,0.00030349146,0.0005431118,0.0006764486,0.0004052692,0.0005469486,0.00013115068],"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":[0.000009769818,0.0000040065665,0.00009294325,0.000002834667,0.0000028296945,0.000010466571,0.0000036439592,0.99889463,0.00013250893,0.00036454713,0.000019015099,0.00046285617],"study_design_scores_gemma":[0.0000064312426,0.000013913918,0.000055318225,0.0000013570174,0.0000030366034,0.000003881627,0.0000066398998,0.99940336,0.00014160614,0.0002760304,0.00008650458,0.0000019315012],"about_ca_topic_score_codex":0.025254037,"about_ca_topic_score_gemma":0.021522427,"teacher_disagreement_score":0.025254037,"about_ca_system_score_codex":0.0014790426,"about_ca_system_score_gemma":0.0014862232,"threshold_uncertainty_score":0.05021411},"labels":[],"label_agreement":null},{"id":"W2160718003","doi":"10.1109/tvt.2014.2329880","title":"Enabling Cooperative Relaying VANET Clouds Over LTE-A Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Fading; Transmission (telecommunications); Relay; Vehicular ad hoc network; Multipath propagation; Telecommunications link; Benchmark (surveying); Diversity gain; Antenna diversity; Wireless; Base station; Cooperative diversity; Wireless ad hoc network; Channel (broadcasting); Power (physics); Telecommunications","score_opus":0.01593927826205288,"score_gpt":0.25010016018345893,"score_spread":0.23416088192140605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160718003","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":[0.28759432,0.0017076727,0.6967319,0.0003530877,0.00008724826,0.00007162125,0.0000833975,0.0006481734,0.012722544],"genre_scores_gemma":[0.98684907,0.00032335965,0.012194188,0.0000297613,0.000011387004,0.0000129958,0.000019281717,0.0000068060754,0.00055309973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964774,0.00009773916,0.000013835471,0.000037285834,0.00008947077,0.00011388441],"domain_scores_gemma":[0.999243,0.00041284645,0.000116822324,0.00008495439,0.00011009023,0.00003231117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005958927,0.00061085017,0.00039893825,0.0003339126,0.00052229373,0.0008417492,0.00065121177,0.0005211239,0.0005496292],"category_scores_gemma":[0.0016214395,0.00015969465,0.00025257946,0.00045987542,0.00046718545,0.0009080808,0.0014264141,0.00039207315,0.00015126447],"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":[0.00019321448,0.00006702963,0.0018210508,0.000113151706,0.000046669433,0.00073589315,0.0002983676,0.85359055,0.03618814,0.04059396,0.0012098996,0.06514206],"study_design_scores_gemma":[0.000011495971,0.0001012703,0.00027399807,0.00001340132,0.000025563224,0.00017275782,0.00012422247,0.9836521,0.0072352467,0.0063357623,0.0020390693,0.00001506166],"about_ca_topic_score_codex":0.0054442715,"about_ca_topic_score_gemma":0.0075813015,"teacher_disagreement_score":0.0054442715,"about_ca_system_score_codex":0.0006353066,"about_ca_system_score_gemma":0.00050567003,"threshold_uncertainty_score":0.010825157},"labels":[],"label_agreement":null},{"id":"W2162056938","doi":"10.1109/tvt.2007.906366","title":"An Architecture for Seamless Mobility Support in IP-Based Next-Generation Wireless Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer network; Roaming; Mobility management; Computer science; Handover; Wireless network; Mobile IP; Next-generation network; Wireless; Mobility model; 3rd Generation Partnership Project 2; Telecommunications; The Internet; Telecommunications link","score_opus":0.01926654597126479,"score_gpt":0.22933075961327562,"score_spread":0.21006421364201083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162056938","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":[0.03217488,0.0012414135,0.9506451,0.00095562206,0.00020107273,0.00017285217,0.000044321132,0.0017380646,0.0128266895],"genre_scores_gemma":[0.4291126,0.0015532551,0.55841494,0.00031983765,0.00012427456,0.00028360332,0.00025622148,0.00007062978,0.009864686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997781,0.000053181928,0.000019128795,0.000021973183,0.000090164474,0.00003748302],"domain_scores_gemma":[0.99983895,0.000019263382,0.000018798204,0.000035680077,0.00005757756,0.000029675748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057147717,0.0002705217,0.0001629701,0.00029890792,0.0006446105,0.0010928827,0.00092211866,0.0007232295,0.001004413],"category_scores_gemma":[0.00063729263,0.00023180994,0.00026261862,0.0002794634,0.00047919148,0.00145502,0.0010149514,0.0009110569,0.00045406373],"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":[0.00020398489,0.00017214919,0.0019510054,0.00026712733,0.00008615085,0.0006007454,0.0007846227,0.099689536,0.068698384,0.47056025,0.015990594,0.34099552],"study_design_scores_gemma":[0.000099173216,0.00048712365,0.002115206,0.00010336812,0.00012717127,0.000705476,0.0002095852,0.7168102,0.015713437,0.10609519,0.15745929,0.000074671494],"about_ca_topic_score_codex":0.0016690452,"about_ca_topic_score_gemma":0.0023635747,"teacher_disagreement_score":0.0016690452,"about_ca_system_score_codex":0.00059416326,"about_ca_system_score_gemma":0.000972517,"threshold_uncertainty_score":0.004311025},"labels":[],"label_agreement":null},{"id":"W2162198265","doi":"10.1109/tvt.2010.2041802","title":"Cross-Layer Design for TCP Performance Improvement in Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":142,"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; University of British Columbia","funders":"","keywords":"Cognitive radio; Computer network; Computer science; Partially observable Markov decision process; Throughput; Quality of service; TCP tuning; Transmission Control Protocol; Physical layer; Data link layer; Markov process; Markov model; Markov chain; Wireless; Network packet; Telecommunications","score_opus":0.01679646705591879,"score_gpt":0.2598148122371449,"score_spread":0.24301834518122614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162198265","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02479591,0.0010714363,0.97165626,0.00015066894,0.00007794798,0.00006239878,0.00002029195,0.00038830304,0.0017767199],"genre_scores_gemma":[0.92383385,0.00063320884,0.07439671,0.00014053355,0.000079862664,0.00014237752,0.00003689737,0.00006114472,0.0006754791],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975981,0.0009681133,0.00016405796,0.00038243292,0.0005832449,0.00030404094],"domain_scores_gemma":[0.9965126,0.0016533482,0.00052157225,0.000263351,0.0009483417,0.00010072777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047762627,0.001079842,0.0007522108,0.00065551826,0.00059334154,0.001481462,0.001153848,0.00075123226,0.0014852993],"category_scores_gemma":[0.006978191,0.000588094,0.00053121644,0.0005114312,0.00076717325,0.0011901957,0.0012148399,0.0010035718,0.00029564294],"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":[0.00039311976,0.0002416505,0.0016238515,0.00028579484,0.00019998521,0.00021078295,0.000241727,0.83708984,0.028871693,0.022495016,0.0015984495,0.1067481],"study_design_scores_gemma":[0.000024671595,0.0001253007,0.00018541852,0.000012986061,0.00005397001,0.000048399674,0.000010124372,0.9921117,0.004143175,0.0027865814,0.00048441932,0.000013289237],"about_ca_topic_score_codex":0.0011278635,"about_ca_topic_score_gemma":0.0012051924,"teacher_disagreement_score":0.0047762627,"about_ca_system_score_codex":0.0011000506,"about_ca_system_score_gemma":0.0011613015,"threshold_uncertainty_score":0.025259614},"labels":[],"label_agreement":null},{"id":"W2162828128","doi":"10.1109/tvt.2007.913181","title":"Transmit Antenna Selected V-BLAST Systems With Power Allocation","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Orthogonal frequency-division multiplexing; MIMO; Electronic engineering; Transmitter power output; Fading; Antenna (radio); Channel (broadcasting); Computer science; Wireless; Frequency-division multiplexing; Multiplexing; Engineering; MIMO-OFDM; Computer network; Electrical engineering; Telecommunications; Transmitter","score_opus":0.007152548660644385,"score_gpt":0.19490247546965153,"score_spread":0.18774992680900715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162828128","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":[0.1011426,0.0011425839,0.886276,0.00022911905,0.00010812109,0.00003381837,0.00003722317,0.00032853906,0.010702024],"genre_scores_gemma":[0.90593624,0.0005484566,0.088876985,0.00014971771,0.00012617996,0.000036704427,0.000044063505,0.000021330348,0.004260402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999613,0.00014796894,0.00001580863,0.000056977187,0.000108051856,0.0000581544],"domain_scores_gemma":[0.99967444,0.00013037588,0.000065862856,0.00004447032,0.00006251585,0.000022264261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002637581,0.00057955313,0.0005069154,0.00019430743,0.00029338626,0.0006329245,0.0005081006,0.00039434302,0.0008713931],"category_scores_gemma":[0.0007041019,0.00018881835,0.00021126441,0.00042544617,0.00043349862,0.00047682508,0.00049767457,0.00033377606,0.0004043134],"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":[0.0010492682,0.00013617215,0.0031346278,0.00016370621,0.00018552954,0.0008364219,0.0002911672,0.50888485,0.119912334,0.05211743,0.0029149035,0.31037354],"study_design_scores_gemma":[0.00009837073,0.0005098479,0.0007030015,0.000019491945,0.00008460119,0.0009026761,0.00007565268,0.9525096,0.025084555,0.012521396,0.0074614603,0.00002933836],"about_ca_topic_score_codex":0.00040598615,"about_ca_topic_score_gemma":0.0009406117,"teacher_disagreement_score":0.0008713931,"about_ca_system_score_codex":0.0002555833,"about_ca_system_score_gemma":0.00027944183,"threshold_uncertainty_score":0.0029150844},"labels":[],"label_agreement":null},{"id":"W2163018103","doi":"10.1109/tvt.2005.853477","title":"Intercarrier Interference Self-Cancellation Space-Frequency Codes for MIMO-OFDM","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Orthogonal frequency-division multiplexing; Rayleigh fading; Spectral efficiency; Diversity scheme; Block code; Fading; Algorithm; Computer science; Electronic engineering; Diversity gain; Interference (communication); Telecommunications; Decoding methods; Engineering; Beamforming; Channel (broadcasting)","score_opus":0.010134591561734633,"score_gpt":0.24558444080904937,"score_spread":0.23544984924731474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163018103","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":[0.05767209,0.0009075118,0.93595123,0.00017845852,0.00007567039,0.000056144934,0.000069861235,0.00015927866,0.0049297973],"genre_scores_gemma":[0.78805697,0.0006396725,0.20902672,0.00009922536,0.00008480165,0.00013574625,0.00011208838,0.000022439834,0.0018223069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995314,0.00011357095,0.000016959026,0.000028536884,0.00026938436,0.000040210274],"domain_scores_gemma":[0.99871004,0.00060810306,0.0001554688,0.00017968361,0.00031773277,0.000028990034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053262134,0.00035059918,0.0002996092,0.00029623206,0.0003133839,0.00037391557,0.00033973053,0.00046110761,0.0008252894],"category_scores_gemma":[0.0021843286,0.00011508076,0.00027255501,0.00041987217,0.00040570315,0.00033809722,0.0002499524,0.00044095123,0.0001959129],"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":[0.00030007868,0.00008294344,0.003006817,0.00027519048,0.000054283388,0.00034265977,0.00017819133,0.5290823,0.07989276,0.23866108,0.0028306837,0.14529303],"study_design_scores_gemma":[0.000017946337,0.00019283114,0.0005101731,0.000019351468,0.000013665385,0.00028800667,0.000015714038,0.95408565,0.021464879,0.019592935,0.0037774255,0.000021421429],"about_ca_topic_score_codex":0.00079470465,"about_ca_topic_score_gemma":0.0012271018,"teacher_disagreement_score":0.0008252894,"about_ca_system_score_codex":0.0004734606,"about_ca_system_score_gemma":0.0007490241,"threshold_uncertainty_score":0.0034351945},"labels":[],"label_agreement":null},{"id":"W2163127038","doi":"10.1109/tvt.2010.2046661","title":"Joint Relay Selection and Opportunistic Source Selection in Bidirectional Cooperative Diversity Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Relay; Cooperative diversity; Selection (genetic algorithm); Computer science; Maximal-ratio combining; Outage probability; Bit error rate; Computer network; Transmission (telecommunications); Mutual information; Diversity gain; Transmitter power output; Joint (building); Quadrature amplitude modulation; Diversity combining; Channel (broadcasting); Power (physics); Telecommunications; Engineering; Fading; Artificial intelligence","score_opus":0.02119797398901355,"score_gpt":0.23580082117241974,"score_spread":0.2146028471834062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163127038","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":[0.08639502,0.0010832999,0.9083938,0.0001304387,0.000016300335,0.00003456288,0.00003662106,0.000102684855,0.0038072926],"genre_scores_gemma":[0.9713208,0.00059594103,0.027306663,0.00003162261,0.000018691644,0.000060292838,0.000020629945,0.0000078739,0.0006375966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898976,0.0004877793,0.00003306776,0.00010406608,0.0002627553,0.00012255667],"domain_scores_gemma":[0.9987865,0.0008052617,0.00015153857,0.00008873187,0.000134678,0.000033316584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012082971,0.00051772676,0.0005150104,0.00039428798,0.0003593072,0.0005838833,0.00064214086,0.00050775416,0.00037470987],"category_scores_gemma":[0.0024135925,0.0003014452,0.0002916324,0.0006486134,0.0006504116,0.00070266175,0.00093313644,0.0002753224,0.00011328362],"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":[0.00016306092,0.00004677881,0.0018684019,0.0001495662,0.000077201534,0.0004936868,0.00033290128,0.86463034,0.014712778,0.05033274,0.0005395841,0.066652946],"study_design_scores_gemma":[0.000013211105,0.00008995313,0.00035634945,0.000011374335,0.000022248916,0.00017012395,0.000043631568,0.97893757,0.002390382,0.017029895,0.0009196511,0.000015675474],"about_ca_topic_score_codex":0.0010681786,"about_ca_topic_score_gemma":0.0012232605,"teacher_disagreement_score":0.0012082971,"about_ca_system_score_codex":0.0004467821,"about_ca_system_score_gemma":0.00048522867,"threshold_uncertainty_score":0.0063901544},"labels":[],"label_agreement":null},{"id":"W2163728156","doi":"10.1109/tvt.2011.2136391","title":"End-to-End Performance of Cooperative Relaying in Spectrum-Sharing Systems With Quality of Service Requirements","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Relay; Cognitive radio; Quality of service; Computer network; Computer science; Transmission (telecommunications); Bandwidth (computing); Wireless; Telecommunications; Power (physics)","score_opus":0.07246634989257639,"score_gpt":0.2870253129175802,"score_spread":0.21455896302500382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163728156","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":[0.8454166,0.0002874095,0.15123215,0.00015532943,0.000015504475,0.000040585775,0.000092293325,0.00026479893,0.0024953836],"genre_scores_gemma":[0.99626607,0.000036433914,0.0034333104,0.000017563734,0.0000033328788,0.000011947057,0.00003578231,0.000007473904,0.00018814504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795675,0.0006725477,0.00011670321,0.00027255868,0.0005795535,0.0004018142],"domain_scores_gemma":[0.98720413,0.00894697,0.0012048222,0.00076553586,0.0016018348,0.0002767605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040867636,0.00093592156,0.0011029326,0.00057960424,0.0005803088,0.0013373615,0.0008743652,0.001218477,0.00047932944],"category_scores_gemma":[0.0120421,0.00027996104,0.00034850225,0.00054968265,0.0014781463,0.0012603728,0.0012990123,0.00064995245,0.00014215209],"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":[0.0005031072,0.00011870517,0.0031460607,0.00005383792,0.000071697046,0.00028514804,0.00014492196,0.9718399,0.011249733,0.0039447933,0.0001669738,0.008475075],"study_design_scores_gemma":[0.000008492566,0.00018613503,0.0012132478,0.0000038294293,0.000017800612,0.00007315407,0.000042111857,0.99288225,0.004004325,0.0015075133,0.000045417153,0.000015664107],"about_ca_topic_score_codex":0.0042420123,"about_ca_topic_score_gemma":0.0029027632,"teacher_disagreement_score":0.0042420123,"about_ca_system_score_codex":0.0013687009,"about_ca_system_score_gemma":0.0013548242,"threshold_uncertainty_score":0.021613121},"labels":[],"label_agreement":null},{"id":"W2163748614","doi":"10.1109/tvt.2007.907291","title":"Constrained Detection for Spatial-Multiplexing Multiple-Input–Multiple-Output Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":6,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Detector; Detection theory; Computer science; Algorithm; Interference (communication); Spatial multiplexing; Multiplexing; Electronic engineering; Control theory (sociology); SIGNAL (programming language); Engineering; Telecommunications; Artificial intelligence","score_opus":0.01928477151877808,"score_gpt":0.2325383009282193,"score_spread":0.21325352940944123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163748614","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":[0.005988342,0.00036265544,0.99118125,0.00015927062,0.00003261444,0.000020404885,0.00005380423,0.0001734531,0.002028224],"genre_scores_gemma":[0.6175735,0.0012128064,0.37434554,0.00039730963,0.000119995995,0.0001478805,0.00027000209,0.000070704795,0.005862257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988953,0.00044521622,0.000042015665,0.00009746713,0.00046539624,0.00005464465],"domain_scores_gemma":[0.9985898,0.000847726,0.00016930203,0.00011869089,0.00024739432,0.000027049471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006488232,0.0006245926,0.00051727786,0.00038633513,0.00030582384,0.00085466966,0.00057150604,0.00052513514,0.0021300064],"category_scores_gemma":[0.003344126,0.00027169494,0.0002554712,0.00067206327,0.00041083366,0.0010604317,0.00066046824,0.00054379686,0.0004406384],"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":[0.00038169642,0.000063419284,0.0009024549,0.00032310645,0.00011796127,0.00029736964,0.00012620576,0.6233297,0.030321537,0.12333816,0.0065137036,0.2142847],"study_design_scores_gemma":[0.0000117748605,0.000046154597,0.00019349667,0.000018036311,0.000008226843,0.00009923709,0.000011061732,0.9694855,0.007988813,0.019300986,0.002821249,0.000015479063],"about_ca_topic_score_codex":0.0012763384,"about_ca_topic_score_gemma":0.0017427474,"teacher_disagreement_score":0.0021300064,"about_ca_system_score_codex":0.0005104773,"about_ca_system_score_gemma":0.00062867766,"threshold_uncertainty_score":0.0071255565},"labels":[],"label_agreement":null},{"id":"W2163756625","doi":"10.1109/tvt.2007.907082","title":"Optimizing Truncated ARQ Scheme Over Wireless Fading Channels","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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 Waterloo","funders":"Korea Advanced Institute of Science and Technology; Korea Institute of Science and Technology","keywords":"Retransmission; Fading; Automatic repeat request; Selective Repeat ARQ; Hybrid automatic repeat request; Computer science; Network packet; Computer network; Wireless; Algorithm; Transmission (telecommunications); Channel (broadcasting); Telecommunications; Telecommunications link","score_opus":0.031622801660563554,"score_gpt":0.25612490117231274,"score_spread":0.22450209951174918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163756625","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":[0.13394703,0.0005926518,0.8623967,0.00018149304,0.000059542508,0.000052058567,0.000056815265,0.00034423397,0.002369347],"genre_scores_gemma":[0.92106086,0.00028509015,0.07710024,0.000053511456,0.00003709827,0.000035513538,0.000041962947,0.0000400516,0.001345634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915814,0.0003249883,0.000050740626,0.00010235978,0.00025689232,0.00010686492],"domain_scores_gemma":[0.998069,0.0009788284,0.00028982383,0.00021498006,0.00039212714,0.000055272456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012814995,0.00069589633,0.0006540518,0.0003031702,0.0003228345,0.00062437414,0.0009907405,0.0005276421,0.00092423236],"category_scores_gemma":[0.003043646,0.00017818532,0.00022311068,0.0003877209,0.0005492713,0.0010236108,0.0006116617,0.0005108453,0.00018554604],"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":[0.0002616483,0.000043511922,0.0003931996,0.00008099405,0.00003778579,0.00013659713,0.00008436486,0.9193011,0.026780702,0.013177487,0.00066444604,0.03903813],"study_design_scores_gemma":[0.000016077676,0.00006490795,0.000087760585,0.000002807364,0.000009384978,0.000040146173,0.0000097997945,0.9957125,0.0021930619,0.0016812906,0.00017431902,0.000007957197],"about_ca_topic_score_codex":0.0018506215,"about_ca_topic_score_gemma":0.0013543603,"teacher_disagreement_score":0.0018506215,"about_ca_system_score_codex":0.0008501124,"about_ca_system_score_gemma":0.0008982688,"threshold_uncertainty_score":0.0067772865},"labels":[],"label_agreement":null},{"id":"W2163860935","doi":"10.1109/tvt.2005.861195","title":"Space-Time Coding in Mobile Satellite Communications Using Dual-Polarized Channels","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Communications satellite; Satellite; Computer science; Space technology; Coding (social sciences); Mobile telephony; Dual (grammatical number); Satellite broadcasting; Telecommunications; Channel code; Electronic engineering; Mobile radio; Electrical engineering; Computer network; Engineering; Decoding methods; Aerospace engineering","score_opus":0.013231207422430563,"score_gpt":0.2506079537951679,"score_spread":0.23737674637273737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163860935","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15568393,0.0016176108,0.8323243,0.0007609093,0.0000692645,0.000045670535,0.0000554513,0.000086471206,0.009356324],"genre_scores_gemma":[0.8838431,0.0015964686,0.11130766,0.00011204342,0.000078664765,0.00009122818,0.000051292616,0.000015424943,0.0029041278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995395,0.00018981892,0.0000126193145,0.000028305049,0.0001543694,0.000075309144],"domain_scores_gemma":[0.99860674,0.0009189651,0.00014279026,0.000112442656,0.00018501286,0.00003418245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006575258,0.0003083234,0.0002474864,0.00033509862,0.00030932177,0.0007998526,0.00031369063,0.00065112516,0.00065324124],"category_scores_gemma":[0.0023970695,0.00017466155,0.0002237485,0.0006547163,0.0011591795,0.00079334725,0.00068050635,0.0005853184,0.0002334121],"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":[0.00018055404,0.00007219389,0.0016836502,0.00012522066,0.000027139871,0.00051860866,0.00039543584,0.47084177,0.044309948,0.41310143,0.0011699907,0.06757407],"study_design_scores_gemma":[0.000012582072,0.00007188886,0.00029282682,0.00002450572,0.000011402611,0.00021188051,0.00007481464,0.9414453,0.013359652,0.042797655,0.0016754488,0.000021962052],"about_ca_topic_score_codex":0.0014675802,"about_ca_topic_score_gemma":0.0016812147,"teacher_disagreement_score":0.0014675802,"about_ca_system_score_codex":0.0004989388,"about_ca_system_score_gemma":0.0006711828,"threshold_uncertainty_score":0.0036200285},"labels":[],"label_agreement":null},{"id":"W2164992579","doi":"10.1109/tvt.2010.2088146","title":"Modeling, Simulation, and Control of an Advanced Luo Converter for Plug-In Hybrid Electric Vehicle Energy-Storage System","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":45,"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","funders":"","keywords":"Ripple; Energy storage; Capacitor; Engineering; Buck converter; Controller (irrigation); Waveform; Voltage; Electric vehicle; Boost converter; Traction motor; Electronic engineering; Electromagnetic interference; Electrical engineering; Control theory (sociology); Power (physics); Computer science","score_opus":0.00644504986777173,"score_gpt":0.23591522711074936,"score_spread":0.22947017724297764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164992579","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":[0.2809605,0.00056730723,0.6547792,0.0005166918,0.00023444962,0.00022405181,0.00059165165,0.0018792808,0.060246844],"genre_scores_gemma":[0.9851003,0.00017014559,0.009147736,0.000026523498,0.000012915837,0.00011406935,0.000104043735,0.000034841312,0.0052893986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999155,0.000020254465,0.0000042367733,0.000010854603,0.000035513065,0.0000135947685],"domain_scores_gemma":[0.9998939,0.00003813323,0.000011906694,0.000010828305,0.000036488418,0.000008751201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020043977,0.0004293617,0.0006104573,0.00023906605,0.00044557825,0.00072510866,0.00064326613,0.00056218373,0.0034639207],"category_scores_gemma":[0.0003061263,0.000229281,0.00040973246,0.00019103836,0.00034326746,0.0004382049,0.00030766122,0.0004933105,0.00039375777],"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":[0.000041771724,0.000024169072,0.00038332035,0.00003588233,0.000011803366,0.00007365519,0.00002571477,0.9907658,0.0027148558,0.002126912,0.00028253585,0.0035135744],"study_design_scores_gemma":[0.0000057339907,0.000011553325,0.000068939284,0.000001441615,0.0000025805466,0.0000061451537,0.0000043131454,0.9989693,0.0004382754,0.00019254276,0.00029771647,0.0000015606599],"about_ca_topic_score_codex":0.009450987,"about_ca_topic_score_gemma":0.0067123524,"teacher_disagreement_score":0.009450987,"about_ca_system_score_codex":0.00041187363,"about_ca_system_score_gemma":0.0006708011,"threshold_uncertainty_score":0.018791914},"labels":[],"label_agreement":null},{"id":"W2165008008","doi":"10.1109/25.845109","title":"Power control and capacity analysis for a packetized indoor multimedia DS-CDMA network","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Power control; Retransmission; Network packet; Hybrid automatic repeat request; Automatic repeat request; Quality of service; Forward error correction; Real-time computing; Telecommunications link; Power (physics); Telecommunications; Decoding methods","score_opus":0.013675540032937717,"score_gpt":0.2507376657165778,"score_spread":0.23706212568364007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165008008","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":[0.20785578,0.0011837636,0.7783547,0.00030041314,0.00005005055,0.00006110528,0.0001114396,0.0004538654,0.011628836],"genre_scores_gemma":[0.99047065,0.0002681994,0.008245848,0.00002142257,0.000019931407,0.000028712506,0.00003466125,0.000020012261,0.00089045183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994678,0.00016068888,0.000012709446,0.000065602595,0.00020220765,0.00009098035],"domain_scores_gemma":[0.9983993,0.0010516645,0.000101981655,0.00008873681,0.00033047763,0.000027721106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055802497,0.0005890311,0.00036282002,0.00062657596,0.00035606793,0.0006900234,0.0005452959,0.00037699242,0.0015516771],"category_scores_gemma":[0.0033288908,0.00020376612,0.00023674539,0.00052255543,0.00087330275,0.00083686505,0.0003930855,0.0005583873,0.0001729826],"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":[0.000042520067,0.000018714192,0.000287606,0.00003260929,0.000011934507,0.000069869595,0.00003233553,0.9761573,0.0038038758,0.009534796,0.00024391677,0.0097643975],"study_design_scores_gemma":[0.0000014711679,0.000012382482,0.00008948984,0.0000017922553,0.0000032762098,0.000012506501,0.0000051946804,0.99812204,0.00073270715,0.00090947043,0.000106964646,0.0000025786287],"about_ca_topic_score_codex":0.0060239583,"about_ca_topic_score_gemma":0.002226425,"teacher_disagreement_score":0.0060239583,"about_ca_system_score_codex":0.0015125811,"about_ca_system_score_gemma":0.0005859888,"threshold_uncertainty_score":0.011977732},"labels":[],"label_agreement":null},{"id":"W2166146132","doi":"10.1109/tvt.2004.825746","title":"Virtual Partitioning Resource Allocation for Multiclass Traffic in Cellular Systems With QoS Constraints","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":39,"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 Waterloo","funders":"","keywords":"Quality of service; Computer science; Preemption; Handover; Computer network; Call blocking; Blocking (statistics); Resource allocation; Network packet; Call Admission Control; Markov chain; Markov process; Distributed computing; Wireless","score_opus":0.01631725378460329,"score_gpt":0.24537751746238154,"score_spread":0.22906026367777826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166146132","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":[0.14322841,0.0011549005,0.8520789,0.00019559971,0.000031137963,0.000032646185,0.000026501097,0.00015018418,0.0031017484],"genre_scores_gemma":[0.97284114,0.00036207354,0.026067568,0.000028518778,0.000012542191,0.000029681858,0.000017952825,0.000019076742,0.0006214628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949074,0.00022164179,0.000011291497,0.000032194224,0.00012870385,0.00011535012],"domain_scores_gemma":[0.9990932,0.0006127291,0.00009117151,0.00006545686,0.00010013699,0.000037330312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006453524,0.00043784626,0.000505551,0.00038008668,0.0005914112,0.000957029,0.0005708291,0.00046075982,0.0005898749],"category_scores_gemma":[0.0030698222,0.00026946887,0.0002498154,0.0006617274,0.0007118301,0.00083004066,0.0004968323,0.0004706499,0.00008733369],"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":[0.000034334207,0.000013914381,0.00041712882,0.000021552474,0.0000092210485,0.00004062047,0.00004515368,0.97048104,0.002033006,0.013693749,0.00019650973,0.013013801],"study_design_scores_gemma":[0.0000016895013,0.0000064780406,0.00006878961,0.0000022370073,0.000002182051,0.000014102097,0.000011429292,0.99658656,0.00033107205,0.0028214527,0.00015181513,0.0000022350494],"about_ca_topic_score_codex":0.008359809,"about_ca_topic_score_gemma":0.00847006,"teacher_disagreement_score":0.008359809,"about_ca_system_score_codex":0.001645043,"about_ca_system_score_gemma":0.0011950288,"threshold_uncertainty_score":0.016622305},"labels":[],"label_agreement":null},{"id":"W2166589028","doi":"10.1109/tvt.2011.2162970","title":"Iterative Receiver Design With Joint Doubly Selective Channel and CFO Estimation for Coded MIMO-OFDM Transmissions","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","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":"McGill University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Carrier frequency offset; Decoding methods; Algorithm; Computer science; MIMO; Channel (broadcasting); Turbo; MIMO-OFDM; Turbo code; EXIT chart; Control theory (sociology); Electronic engineering; Frequency offset; Telecommunications; Engineering; Artificial intelligence; Block code","score_opus":0.032247074630050346,"score_gpt":0.23821659412580298,"score_spread":0.20596951949575265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166589028","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035741748,0.000093548486,0.9956117,0.00003778634,0.000009300564,0.000019677955,0.000011042143,0.00009835029,0.00054437784],"genre_scores_gemma":[0.40329584,0.0004590823,0.59356076,0.00010839877,0.00006954851,0.00029545967,0.00013004777,0.00006087838,0.0020199989],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849975,0.0005419372,0.000075398886,0.0002089655,0.00053917355,0.00013474493],"domain_scores_gemma":[0.9977397,0.0011778582,0.00026378897,0.00021610012,0.000538756,0.00006382379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017958473,0.00103673,0.0010264076,0.00046285256,0.00054662937,0.0012235385,0.0011685191,0.00167572,0.0011329197],"category_scores_gemma":[0.0063489038,0.0006255371,0.000691707,0.00066218886,0.0009627279,0.0011331906,0.0011315742,0.0012326597,0.0008510351],"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":[0.00030832036,0.000086708445,0.0011820593,0.00025096908,0.00015830927,0.00030120873,0.0005046118,0.7919917,0.026829831,0.041718133,0.001356096,0.13531208],"study_design_scores_gemma":[0.00002221408,0.00011181511,0.00014857195,0.000016620197,0.000025991309,0.000106940126,0.000017994418,0.99026734,0.0049752556,0.0034797736,0.0007993196,0.000028188128],"about_ca_topic_score_codex":0.001936901,"about_ca_topic_score_gemma":0.002500896,"teacher_disagreement_score":0.001936901,"about_ca_system_score_codex":0.00067295803,"about_ca_system_score_gemma":0.0018941513,"threshold_uncertainty_score":0.009497464},"labels":[],"label_agreement":null},{"id":"W2166671790","doi":"10.1109/tvt.2007.907282","title":"Analysis of Clipping Noise and Tone-Reservation Algorithms for Peak Reduction in OFDM Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Clipping (morphology); Orthogonal frequency-division multiplexing; Algorithm; Mathematics; Noise (video); Noise power; Computer science; Electronic engineering; Telecommunications; Power (physics); Channel (broadcasting); Physics; Engineering","score_opus":0.022796537550322068,"score_gpt":0.26316063542828777,"score_spread":0.2403640978779657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166671790","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021875316,0.00030290615,0.97592396,0.00005290251,0.000017141518,0.000019947012,0.00000880297,0.00012471998,0.0016743084],"genre_scores_gemma":[0.73895174,0.00067810237,0.25652087,0.000079722675,0.00006916169,0.00009538134,0.0000791412,0.000107574255,0.0034183185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930406,0.00015307857,0.000022469663,0.0000636006,0.0004042837,0.000052436608],"domain_scores_gemma":[0.99828064,0.0012217122,0.000092151844,0.00008343745,0.00029197673,0.000030257253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010319473,0.00069908664,0.00042155135,0.00045186531,0.00035683336,0.0006942356,0.00061270176,0.00043479854,0.0013248357],"category_scores_gemma":[0.004447871,0.00023823691,0.00034910146,0.00051542855,0.0004993096,0.0008520587,0.00041771456,0.00065367477,0.00020596852],"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":[0.00017843906,0.0000605714,0.0007175373,0.00011026566,0.000047108366,0.00009679264,0.00017408228,0.81625056,0.0131038595,0.042151187,0.00081795116,0.12629159],"study_design_scores_gemma":[0.0000018189704,0.000015078033,0.0000724376,0.0000022593238,0.0000029124724,0.000014108041,0.0000037829482,0.99737084,0.0013716352,0.0009746071,0.0001680097,0.0000024879264],"about_ca_topic_score_codex":0.0017330148,"about_ca_topic_score_gemma":0.0011439577,"teacher_disagreement_score":0.0017330148,"about_ca_system_score_codex":0.00079028343,"about_ca_system_score_gemma":0.0007325414,"threshold_uncertainty_score":0.005733907},"labels":[],"label_agreement":null},{"id":"W2166853926","doi":"10.1109/tvt.2008.2008656","title":"Performance of Cooperative Sensing at the MAC Level: Error Minimization Through Differential Sensing","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":26,"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 Manitoba","funders":"","keywords":"Channel (broadcasting); Idle; Computer science; Probabilistic logic; Process (computing); Differential (mechanical device); Minification; Real-time computing; Algorithm; Computer network; Engineering; Artificial intelligence","score_opus":0.026195953488764988,"score_gpt":0.2374654422721209,"score_spread":0.2112694887833559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166853926","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":[0.57392573,0.0009222338,0.41745186,0.0006040156,0.000052602925,0.000039758383,0.000054479893,0.0002899799,0.0066592954],"genre_scores_gemma":[0.9939406,0.00005478632,0.0057346486,0.000028587398,0.000008164769,0.00001043379,0.000009202273,0.0000065032536,0.0002069504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755377,0.00082728296,0.00009193523,0.00038785345,0.0007059498,0.00043324192],"domain_scores_gemma":[0.9890464,0.007793233,0.0009007975,0.00094682275,0.0010172667,0.000295471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034745715,0.0007943094,0.0008423922,0.0005820337,0.00058135425,0.0012933213,0.0010845817,0.0010244694,0.00044092725],"category_scores_gemma":[0.016425204,0.0003346555,0.00024904963,0.00043864248,0.0016172981,0.001393852,0.001860087,0.0005459652,0.000112702015],"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":[0.0010949835,0.00018663648,0.0045357468,0.00010437018,0.00007166891,0.0001320415,0.00026350652,0.9183763,0.017800191,0.015699927,0.0004769617,0.04125764],"study_design_scores_gemma":[0.000025557987,0.00023903213,0.00074927526,0.0000073444944,0.000014690131,0.000077365614,0.000041912153,0.9903976,0.0037911271,0.0044826325,0.00015793259,0.000015451003],"about_ca_topic_score_codex":0.0016358356,"about_ca_topic_score_gemma":0.00092892017,"teacher_disagreement_score":0.0034745715,"about_ca_system_score_codex":0.0011338184,"about_ca_system_score_gemma":0.0013911857,"threshold_uncertainty_score":0.018375576},"labels":[],"label_agreement":null},{"id":"W2166885742","doi":"10.1109/tvt.2009.2038784","title":"Unified Exact Performance Analysis of Two-Hop Amplify-and-Forward Relaying in Nakagami Fading","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nakagami distribution; Fading; Cumulative distribution function; Relay; Moment-generating function; Probability density function; Topology (electrical circuits); Channel (broadcasting); Computer science; Signal-to-noise ratio (imaging); Algorithm; Hop (telecommunications); Noise power; Mathematics; Electronic engineering; Statistics; Power (physics); Telecommunications; Engineering; Physics; Combinatorics","score_opus":0.021017461362297693,"score_gpt":0.27229056478371416,"score_spread":0.25127310342141645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166885742","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":[0.042113993,0.0024829425,0.93679994,0.00027793253,0.000061361534,0.00007699477,0.00024286966,0.0004663567,0.017477589],"genre_scores_gemma":[0.93278676,0.0034555576,0.05520012,0.00015603784,0.00010667325,0.00015232472,0.00028074146,0.00015251427,0.0077093286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866545,0.0003530617,0.000049240734,0.0001086414,0.000599214,0.00022441677],"domain_scores_gemma":[0.9983535,0.0008796438,0.00017034679,0.00020011874,0.00035343226,0.000043039083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020077608,0.0018513359,0.0019007472,0.0013095245,0.0006400363,0.0022097016,0.0015244583,0.001413624,0.0023175462],"category_scores_gemma":[0.0053239972,0.00062967755,0.0010799448,0.0014599451,0.0014187058,0.00240643,0.0015596302,0.001016861,0.0009011539],"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":[0.000027689719,0.0000147916435,0.0002058747,0.00005433014,0.000017536788,0.000104794926,0.00006537616,0.96016055,0.001393907,0.03288257,0.00037648232,0.0046961214],"study_design_scores_gemma":[0.0000028272716,0.000015432941,0.000056146877,0.0000066884922,0.000006891443,0.00003649866,0.000011172675,0.99370944,0.00024787415,0.0056887874,0.00021042663,0.000007823773],"about_ca_topic_score_codex":0.00861422,"about_ca_topic_score_gemma":0.005282649,"teacher_disagreement_score":0.00861422,"about_ca_system_score_codex":0.0029579941,"about_ca_system_score_gemma":0.0018785442,"threshold_uncertainty_score":0.021461904},"labels":[],"label_agreement":null},{"id":"W2167177211","doi":"10.1109/tvt.2003.814224","title":"A probing process for dynamic resource allocation in fixed broadband wireless access networks","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Polling; Computer network; Computer science; Network packet; Bandwidth (computing); Broadband; Wireless broadband; Process (computing); Wireless; Base station; Bandwidth allocation; Resource allocation; Protocol (science); Broadband networks; Wireless network; Telecommunications","score_opus":0.02269837273806832,"score_gpt":0.3031285367907723,"score_spread":0.280430164052704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167177211","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":[0.020217054,0.00022339451,0.97838384,0.000074860836,0.00003506359,0.0000890808,0.0000061286637,0.00030303464,0.0006675373],"genre_scores_gemma":[0.724828,0.00027642795,0.27359834,0.00011037158,0.000051150564,0.00026548145,0.000028049693,0.000032630196,0.0008094646],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878865,0.0006401247,0.000053665415,0.00012097402,0.0003290956,0.000067522014],"domain_scores_gemma":[0.9981584,0.0012491074,0.00017809882,0.00021665315,0.00014230864,0.000055453176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017160313,0.00035348476,0.00035531528,0.0003414262,0.00049091585,0.0005848823,0.00081525213,0.0006119836,0.000540901],"category_scores_gemma":[0.0057875076,0.00030618964,0.0002514252,0.00040962818,0.00087810186,0.0010203414,0.0005380212,0.0007320222,0.00009765131],"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":[0.0010037691,0.00030853256,0.0030825948,0.00039082635,0.00009950824,0.0006285453,0.0006911359,0.24277471,0.13090156,0.12257198,0.0021157633,0.49543118],"study_design_scores_gemma":[0.00005987419,0.0003791131,0.0005920554,0.00001961435,0.00004030165,0.00039376272,0.000042432745,0.9634216,0.016348623,0.015180079,0.0034899667,0.00003262395],"about_ca_topic_score_codex":0.0006688008,"about_ca_topic_score_gemma":0.00049901515,"teacher_disagreement_score":0.0017160313,"about_ca_system_score_codex":0.0004380218,"about_ca_system_score_gemma":0.00077239465,"threshold_uncertainty_score":0.009075344},"labels":[],"label_agreement":null},{"id":"W2167179181","doi":"10.1109/tvt.2008.919979","title":"Performance Analysis and Improvement Methods for Channel Resource Management Strategies of LEO–MSS With Multiparty Traffic","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":28,"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; University of British Columbia","funders":"","keywords":"Computer science; Handover; Quality of service; Call blocking; Blocking (statistics); Computer network; Benchmark (surveying); Channel (broadcasting); Reservation; Queueing theory; Resource allocation; Resource management (computing); Markov process; Channel allocation schemes; Correctness; Performance improvement; Distributed computing; Wireless; Telecommunications; Algorithm; Engineering","score_opus":0.017552081746141784,"score_gpt":0.2599869935938072,"score_spread":0.24243491184766544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167179181","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":[0.024798319,0.00047539177,0.9713372,0.00006658511,0.00001626484,0.00004765349,0.000021113185,0.000308018,0.0029295662],"genre_scores_gemma":[0.8781613,0.00048419286,0.119399615,0.00003568561,0.00003057468,0.000121113335,0.000051666986,0.000077958444,0.0016377673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888855,0.00029675476,0.00003714006,0.00008977217,0.0005462943,0.00014151375],"domain_scores_gemma":[0.9978758,0.0012008317,0.00028588183,0.0001970087,0.00039260127,0.000047996724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014205701,0.0008196087,0.00064865785,0.0008554816,0.00036970258,0.00086864375,0.00087517244,0.0005353992,0.0022864477],"category_scores_gemma":[0.0044324393,0.00026181762,0.00055711996,0.00070212723,0.0005959166,0.00083008624,0.00067526696,0.0009239361,0.00037484223],"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":[0.000065153756,0.00007175421,0.001161189,0.00010493079,0.000034136778,0.00005546053,0.00016108018,0.86936545,0.013121924,0.018776083,0.0005690602,0.09651376],"study_design_scores_gemma":[0.0000016939664,0.00002114154,0.00014232722,0.000003173226,0.0000037916732,0.000015049798,0.00000881066,0.9975151,0.0013072015,0.000783467,0.00019254595,0.000005694788],"about_ca_topic_score_codex":0.0045116064,"about_ca_topic_score_gemma":0.0028975317,"teacher_disagreement_score":0.0045116064,"about_ca_system_score_codex":0.0015199229,"about_ca_system_score_gemma":0.0009957331,"threshold_uncertainty_score":0.011027813},"labels":[],"label_agreement":null},{"id":"W2167253572","doi":"10.1109/tvt.2007.896967","title":"Comprehensive Efficiency Modeling of Electric Traction Motor Drives for Hybrid Electric Vehicle Propulsion Applications","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":196,"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","funders":"","keywords":"Traction motor; Automotive engineering; Propulsion; Electric vehicle; Engineering; Induction motor; Inverter; Drivetrain; Torque; Single-phase electric power; Motor drive; Stator; Electric motor; Traction (geology); AC motor; Brushed DC electric motor; Electrical engineering; Voltage; Power (physics); Power factor; Mechanical engineering; Aerospace engineering; Physics","score_opus":0.009774185807775362,"score_gpt":0.22993944204851763,"score_spread":0.22016525624074226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167253572","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":[0.21215528,0.00072596077,0.7495738,0.00014131857,0.000025573881,0.0001379812,0.0006052697,0.0008740164,0.035760775],"genre_scores_gemma":[0.9739974,0.00041637206,0.014778484,0.000014747769,0.0000095356145,0.00013752024,0.00039804226,0.00009206488,0.010155893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997949,0.000034625868,0.000009903822,0.000027330363,0.00011362517,0.000019668922],"domain_scores_gemma":[0.9998503,0.00004524894,0.000017228533,0.000019984951,0.00006300883,0.000004189968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003098755,0.0006134406,0.0005427726,0.000412684,0.0002167996,0.0006048261,0.0007818185,0.00045650426,0.0017411778],"category_scores_gemma":[0.0006803932,0.00023480602,0.0004899799,0.00037983907,0.00014232921,0.0007387523,0.00020244806,0.00025080843,0.00066986517],"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":[0.000027528258,0.000023939032,0.0005792274,0.000029867853,0.000012729879,0.000041260504,0.000027855649,0.98186,0.002345416,0.0018526415,0.00040228307,0.0127973445],"study_design_scores_gemma":[0.000002251007,0.000017522178,0.0005163916,0.0000026894281,0.000004565718,0.000013665704,0.0000063660004,0.9972947,0.0007514683,0.00055601756,0.00083168456,0.00000262388],"about_ca_topic_score_codex":0.00504772,"about_ca_topic_score_gemma":0.0032822231,"teacher_disagreement_score":0.00504772,"about_ca_system_score_codex":0.0005610117,"about_ca_system_score_gemma":0.00035548845,"threshold_uncertainty_score":0.010036647},"labels":[],"label_agreement":null},{"id":"W2167402528","doi":"10.1109/tvt.2010.2060215","title":"A Model-Based Downlink Resource Allocation Framework for IEEE 802.16e Mobile WiMAX Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":10,"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":"","keywords":"WiMAX; Computer science; Computer network; Quality of service; IEEE 802; Queueing theory; Orthogonal frequency-division multiple access; Network packet; Scheduling (production processes); Resource allocation; Orthogonal frequency-division multiplexing; Channel (broadcasting); Wireless; Telecommunications; Engineering","score_opus":0.007678661975642329,"score_gpt":0.22950255590663074,"score_spread":0.22182389393098842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167402528","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":[0.0019143529,0.0003473598,0.9940597,0.00026136084,0.000068647925,0.00006051061,0.00004686603,0.00020802557,0.0030332517],"genre_scores_gemma":[0.3982467,0.001865126,0.5902308,0.00036156827,0.00030739643,0.0008871362,0.0002960478,0.00015540572,0.0076497844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921405,0.000277731,0.000042611417,0.00007839808,0.00031359895,0.00007350224],"domain_scores_gemma":[0.9997073,0.000078277015,0.00003709514,0.000049473798,0.000098896606,0.000028969655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012897501,0.0008563523,0.0008288216,0.00046951527,0.0006602099,0.0015623308,0.0016060545,0.0008398896,0.002024675],"category_scores_gemma":[0.0015529001,0.00042879075,0.00074837415,0.00047975843,0.00060184795,0.0015269846,0.0011735281,0.0013366834,0.0005839159],"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":[0.00003875073,0.00013907657,0.00038321197,0.00013093848,0.000059020174,0.00022277115,0.0001736886,0.60615575,0.005750979,0.3326761,0.005062845,0.049206898],"study_design_scores_gemma":[0.000013292662,0.000036145782,0.00006831115,0.000018482175,0.000013923869,0.00005942395,0.000024108082,0.9656957,0.0006501052,0.025070509,0.008333852,0.000016128237],"about_ca_topic_score_codex":0.0049010315,"about_ca_topic_score_gemma":0.0044823866,"teacher_disagreement_score":0.0049010315,"about_ca_system_score_codex":0.001449823,"about_ca_system_score_gemma":0.0020158286,"threshold_uncertainty_score":0.010519266},"labels":[],"label_agreement":null},{"id":"W2167587495","doi":"10.1109/tvt.2007.907072","title":"An MDP-Based Vertical Handoff Decision Algorithm for Heterogeneous Wireless Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":400,"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":"","keywords":"Handover; Vertical handover; Computer science; Wireless network; Markov decision process; Weighting; Wireless; Computer network; Heterogeneous wireless network; Heterogeneous network; Markov process; Mathematics; Telecommunications","score_opus":0.008261583713642492,"score_gpt":0.2215221258442376,"score_spread":0.21326054213059512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167587495","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023532892,0.00019236948,0.974005,0.00029931843,0.00003705758,0.00007304837,0.00006253983,0.00020149154,0.0015962644],"genre_scores_gemma":[0.72965056,0.00018731371,0.2670354,0.00017353118,0.000037613525,0.0002894097,0.00020561558,0.00003967744,0.0023809304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995352,0.00015501799,0.000031325173,0.00007499462,0.000112634814,0.000090843416],"domain_scores_gemma":[0.9986066,0.0010515107,0.00009122884,0.000026081376,0.00015677074,0.00006780515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016320406,0.000576993,0.001077109,0.00056403945,0.0005441575,0.0007612968,0.0011149427,0.0011757414,0.0026223836],"category_scores_gemma":[0.0026861236,0.00043015834,0.00041849917,0.00057493686,0.00053309725,0.0009638077,0.0011463048,0.0012141226,0.00023597309],"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":[0.000112370966,0.00005092593,0.00029383315,0.000034650595,0.000024637024,0.00003162835,0.000040398685,0.9482026,0.000506737,0.0076266686,0.00063217746,0.04244341],"study_design_scores_gemma":[0.000011392351,0.00001504077,0.000017423074,0.0000020724588,0.0000020512791,0.0000029399616,0.0000036277168,0.99855715,0.000089573005,0.0012013813,0.00009559643,0.0000016818307],"about_ca_topic_score_codex":0.008546201,"about_ca_topic_score_gemma":0.0054052873,"teacher_disagreement_score":0.008546201,"about_ca_system_score_codex":0.0012463968,"about_ca_system_score_gemma":0.0020594245,"threshold_uncertainty_score":0.016992927},"labels":[],"label_agreement":null},{"id":"W2167822064","doi":"10.1109/tvt.2009.2014383","title":"Energy Management Analysis and Enhancement in IEEE 802.16e WirelessMAN","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":27,"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":"","keywords":"Sleep mode; Energy consumption; Computer science; IEEE 802; Energy management; Efficient energy use; Energy (signal processing); Power management; Wireless; Computer network; Power (physics); Reliability engineering; Power consumption; Engineering; Telecommunications; Electrical engineering","score_opus":0.0032614981815286253,"score_gpt":0.1950647030364311,"score_spread":0.19180320485490246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167822064","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":[0.21542588,0.0030799366,0.75960946,0.00085166004,0.00010467103,0.00009737404,0.000045827892,0.00014888421,0.020636387],"genre_scores_gemma":[0.97421527,0.00089203124,0.021875517,0.00007026483,0.000035104098,0.000032672848,0.000014603118,0.000014398095,0.0028501654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956757,0.00015522257,0.000018893124,0.00004502319,0.00014143153,0.00007177128],"domain_scores_gemma":[0.9994854,0.00025368945,0.00007912899,0.00004643421,0.00012502968,0.000010373963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011052339,0.00041405793,0.00036846177,0.0004007119,0.00021934917,0.000664962,0.00049425755,0.00036753103,0.0010858844],"category_scores_gemma":[0.002352895,0.00018443461,0.00028224388,0.00051856315,0.0005199926,0.0016641231,0.0003929954,0.0003711338,0.00009854071],"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":[0.00010433871,0.00009287904,0.0015490386,0.00011186238,0.00002429665,0.0001525601,0.000114243834,0.80738604,0.0090843,0.12911691,0.00081570196,0.051447723],"study_design_scores_gemma":[0.0000032505347,0.00004092544,0.00038137916,0.0000054585776,0.0000054540765,0.000041838375,0.000023137012,0.9909991,0.00094791525,0.0068948786,0.0006521808,0.000004562122],"about_ca_topic_score_codex":0.0013069591,"about_ca_topic_score_gemma":0.0010851087,"teacher_disagreement_score":0.0013069591,"about_ca_system_score_codex":0.00072999153,"about_ca_system_score_gemma":0.00047530216,"threshold_uncertainty_score":0.0058451295},"labels":[],"label_agreement":null},{"id":"W2167981441","doi":"10.1109/tvt.2008.921616","title":"Civilian Vehicle Navigation: Required Alignment of the Inertial Sensors for Acceptable Navigation Accuracies","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NovAtel (Canada); University of Calgary","funders":"","keywords":"Inertial navigation system; Inertial measurement unit; Accelerometer; Inertial reference unit; Reliability (semiconductor); Navigation system; Computer science; Inertial frame of reference; Engineering; Gyroscope; Simulation; Real-time computing; Artificial intelligence; Aerospace engineering","score_opus":0.014025229913196956,"score_gpt":0.22656762559037172,"score_spread":0.21254239567717476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167981441","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":[0.31881425,0.0034546067,0.65274817,0.00083226565,0.00033243748,0.00030162506,0.00085066183,0.0014150993,0.02125083],"genre_scores_gemma":[0.8639735,0.0009981255,0.13011341,0.00017397403,0.00008813834,0.0001373332,0.00050055276,0.00016729228,0.0038475888],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982705,0.00021582594,0.000102803344,0.00017408948,0.0011024115,0.0001342556],"domain_scores_gemma":[0.99741226,0.0006502077,0.00044737285,0.00034658436,0.0010945756,0.000048977683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080638827,0.0005605633,0.0004959674,0.00029575403,0.0004649229,0.0006794617,0.00036452545,0.0007830226,0.0029506779],"category_scores_gemma":[0.0050384696,0.0002217111,0.00016419328,0.00058175414,0.0004009494,0.00101026,0.0005214213,0.0003925008,0.0011851031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008209899,0.0001822947,0.027670464,0.0014521754,0.000074812386,0.000867961,0.00066417624,0.12488096,0.45317373,0.01355162,0.0040816194,0.37257913],"study_design_scores_gemma":[0.00009463479,0.001465132,0.0840838,0.0001364667,0.00012559751,0.0033288219,0.00046566883,0.1838348,0.6711387,0.0067909895,0.04839152,0.00014380337],"about_ca_topic_score_codex":0.0029567752,"about_ca_topic_score_gemma":0.0029509473,"teacher_disagreement_score":0.0029567752,"about_ca_system_score_codex":0.00050041074,"about_ca_system_score_gemma":0.0009843858,"threshold_uncertainty_score":0.009870946},"labels":[],"label_agreement":null},{"id":"W2168301531","doi":"10.1109/tvt.2007.897187","title":"Bluetooth Receiver Design Based on Laurent's Decomposition","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":16,"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":"","keywords":"Bluetooth; Robustness (evolution); Computer science; Electronic engineering; Detector; Radio receiver design; Transmission (telecommunications); Wireless; Engineering; Channel (broadcasting); Telecommunications; Transmitter","score_opus":0.0168288656977325,"score_gpt":0.2598136850342417,"score_spread":0.24298481933650917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168301531","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":[0.011172997,0.00036608055,0.9846014,0.000107891705,0.00007402451,0.00005880012,0.000019124443,0.0002618167,0.0033378094],"genre_scores_gemma":[0.23966533,0.000742401,0.7481799,0.00035864505,0.00021822446,0.00013756828,0.00010910854,0.000056266817,0.010532623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994529,0.00014814164,0.000032990276,0.000103386694,0.00021990864,0.00004261266],"domain_scores_gemma":[0.999686,0.000073830684,0.000051105722,0.000040968374,0.00012121697,0.000026842285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054668664,0.00060419895,0.00063353917,0.0004693703,0.00032458932,0.00062346435,0.00060000375,0.0006076426,0.0011001314],"category_scores_gemma":[0.00071604265,0.00027834473,0.00034110734,0.00026346103,0.00039454649,0.0006319793,0.00046186225,0.00073434087,0.0010808047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005261851,0.00015198672,0.00088899315,0.00038328103,0.000088025925,0.00041088005,0.0003747374,0.024509825,0.5966287,0.07822107,0.003159796,0.29465652],"study_design_scores_gemma":[0.00015084502,0.0012414156,0.0014779628,0.00010038331,0.00012481186,0.0028978987,0.00008052905,0.5356709,0.38899627,0.012270461,0.05682292,0.00016567133],"about_ca_topic_score_codex":0.0002228156,"about_ca_topic_score_gemma":0.0004099612,"teacher_disagreement_score":0.0011001314,"about_ca_system_score_codex":0.0003711529,"about_ca_system_score_gemma":0.00045442008,"threshold_uncertainty_score":0.0036802888},"labels":[],"label_agreement":null},{"id":"W2168429764","doi":"10.1109/tvt.2009.2013631","title":"Power Allocation and Error Performance of Distributed Unitary Space–Time Modulation in Wireless Relay Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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 Saskatchewan","funders":"","keywords":"Relay; Fading; Computer science; Channel state information; Wireless; Wireless network; Electronic engineering; Modulation (music); Signal-to-noise ratio (imaging); Transmitter power output; Channel (broadcasting); Relay channel; Computer network; Power (physics); Topology (electrical circuits); Engineering; Telecommunications; Electrical engineering","score_opus":0.009674966551947769,"score_gpt":0.22713312615644668,"score_spread":0.2174581596044989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168429764","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":[0.34236392,0.0018939915,0.6503272,0.0003576973,0.000036939495,0.000027187727,0.00003715356,0.0001996618,0.0047561866],"genre_scores_gemma":[0.98620564,0.00027643997,0.012915122,0.000025987945,0.00001457401,0.000017160412,0.00001391483,0.000010109314,0.0005210316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842477,0.00084079104,0.00006307455,0.0001554084,0.00039215753,0.00012374921],"domain_scores_gemma":[0.99355644,0.0047845677,0.0005205763,0.0005082617,0.00056813326,0.00006196384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024838757,0.0006702719,0.00069167337,0.0003731615,0.0003446322,0.0008104549,0.00065134396,0.0009202654,0.00038574278],"category_scores_gemma":[0.011583974,0.00025593638,0.00018992012,0.00052153884,0.0012805198,0.0012017448,0.00089096033,0.00047957577,0.00012503765],"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":[0.00028870677,0.000035269662,0.0010127905,0.000058889185,0.000033313638,0.000104318344,0.00013948638,0.93767744,0.006835557,0.029385742,0.00023354137,0.024194868],"study_design_scores_gemma":[0.000016031683,0.000056417,0.0001911076,0.0000056284443,0.0000072544385,0.00004427123,0.000015200745,0.9916141,0.0021678999,0.0057839807,0.0000899643,0.000008046828],"about_ca_topic_score_codex":0.0012052836,"about_ca_topic_score_gemma":0.0006162863,"teacher_disagreement_score":0.0024838757,"about_ca_system_score_codex":0.0008231449,"about_ca_system_score_gemma":0.00046426503,"threshold_uncertainty_score":0.013136148},"labels":[],"label_agreement":null},{"id":"W2168435726","doi":"10.1109/tvt.2009.2014685","title":"Cooperative Diversity for Intervehicular Communication: Performance Analysis and Optimization","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":152,"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 Waterloo","funders":"","keywords":"Nakagami distribution; Fading; Cooperative diversity; Rayleigh fading; Relay; Computer science; Antenna diversity; Channel (broadcasting); Broadcasting (networking); Base station; Wireless; Diversity scheme; Computer network; Telecommunications; Power (physics)","score_opus":0.01947587009554669,"score_gpt":0.2522520498328435,"score_spread":0.2327761797372968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168435726","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":[0.085296206,0.004476807,0.88345253,0.0009496342,0.000053994474,0.000087128734,0.0002352339,0.00020905325,0.025239402],"genre_scores_gemma":[0.95849466,0.0030278412,0.03152591,0.00011941085,0.000111435285,0.00013601559,0.00017335745,0.00006521614,0.0063463254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895215,0.0004656321,0.000018668406,0.00009977789,0.00030317582,0.00016056847],"domain_scores_gemma":[0.9972184,0.0018771794,0.00032549494,0.00012965013,0.00038805095,0.000061286955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001560034,0.0012638861,0.0008267286,0.0008549466,0.00043668723,0.0014940795,0.0008711951,0.0012635901,0.0022114844],"category_scores_gemma":[0.003743638,0.000398989,0.0005070669,0.0019170895,0.0011890789,0.0010267813,0.0010365394,0.00073576946,0.00066021906],"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":[0.000059690658,0.000036882135,0.00036547126,0.00007081204,0.00004281623,0.00007959737,0.00006342509,0.95628786,0.0020332928,0.023978034,0.0012238328,0.015758378],"study_design_scores_gemma":[0.0000055764426,0.000038870137,0.00020931594,0.000009218619,0.000008000694,0.000037481463,0.000024451763,0.98745906,0.0005903301,0.011113046,0.000495573,0.000009036693],"about_ca_topic_score_codex":0.003636614,"about_ca_topic_score_gemma":0.0025896353,"teacher_disagreement_score":0.003636614,"about_ca_system_score_codex":0.001969011,"about_ca_system_score_gemma":0.0009787327,"threshold_uncertainty_score":0.01428622},"labels":[],"label_agreement":null},{"id":"W2168618447","doi":"10.1109/tvt.2007.904547","title":"Efficiency and Goodput Analysis of Dly-ACK in IEEE 802.15.3","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Goodput; Computer science; Markov chain; Transmission (telecommunications); Electronic engineering; Channel (broadcasting); Wireless; Computer network; Algorithm; Throughput; Engineering; Telecommunications","score_opus":0.004732631084200243,"score_gpt":0.21628067977287216,"score_spread":0.2115480486886719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168618447","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":[0.58934444,0.0025814478,0.39944246,0.00053981773,0.00008122595,0.00010271586,0.00021228266,0.00096615043,0.0067294515],"genre_scores_gemma":[0.9937675,0.00033944356,0.00521184,0.000029130315,0.000013004745,0.000016155167,0.000029468187,0.000036942005,0.00055654463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982774,0.0006626634,0.000068282185,0.00015199368,0.00052130595,0.00031825306],"domain_scores_gemma":[0.99311733,0.005007016,0.00062721694,0.00035314905,0.00081249926,0.00008280152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029471968,0.0009206495,0.00086354563,0.0009787369,0.00056718296,0.0011677942,0.0009814024,0.0005138262,0.0013743018],"category_scores_gemma":[0.007069159,0.00034733486,0.0005341089,0.00085947535,0.0012473969,0.0014588992,0.0007518066,0.000732303,0.00019775948],"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":[0.00089972414,0.0001768329,0.006199368,0.0001943054,0.00011342285,0.00034531538,0.0003821307,0.91185665,0.019926637,0.033633187,0.0012925131,0.024979914],"study_design_scores_gemma":[0.0000068970835,0.00005686113,0.000664305,0.0000075794737,0.000018931261,0.000053184955,0.00003112184,0.9930803,0.004291974,0.0016412997,0.00013570534,0.0000118058615],"about_ca_topic_score_codex":0.008167068,"about_ca_topic_score_gemma":0.004386797,"teacher_disagreement_score":0.008167068,"about_ca_system_score_codex":0.0027279153,"about_ca_system_score_gemma":0.0010773307,"threshold_uncertainty_score":0.019792497},"labels":[],"label_agreement":null},{"id":"W2168648017","doi":"10.1109/tvt.2010.2048767","title":"Output-Threshold Multiple-Relay-Selection Scheme for Cooperative Wireless Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Selection (genetic algorithm); Wireless; Computer science; Bandwidth (computing); Scheme (mathematics); Wireless network; Flexibility (engineering); Path (computing); Algorithm; Topology (electrical circuits); Computer network; Mathematics; Artificial intelligence; Telecommunications; Statistics; Combinatorics; Physics","score_opus":0.02030238715081825,"score_gpt":0.26031687704416956,"score_spread":0.2400144898933513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168648017","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":[0.045252223,0.00076947105,0.9505966,0.00021920327,0.00006628143,0.000054365435,0.00006291644,0.00029194716,0.0026869683],"genre_scores_gemma":[0.91270435,0.000551745,0.08451698,0.00010729809,0.00004897552,0.000098674056,0.00011255333,0.000014489262,0.0018449601],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945754,0.00018968737,0.000031933,0.00009370569,0.00014641543,0.000080759026],"domain_scores_gemma":[0.999506,0.00016779023,0.000072511924,0.00007245511,0.00014979938,0.000031371732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006796887,0.00061128294,0.0004917718,0.00034811092,0.00043668746,0.00048009376,0.0010134982,0.00036155144,0.0007210098],"category_scores_gemma":[0.0013854093,0.00016107452,0.00028326776,0.00065796275,0.00041958332,0.00071654096,0.0009292313,0.0003895907,0.00022809854],"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":[0.0008254306,0.00016876702,0.0030854477,0.0005807419,0.00018948746,0.0011088707,0.00081155385,0.35268483,0.11178641,0.103937864,0.0067628752,0.4180577],"study_design_scores_gemma":[0.000098089695,0.00039951247,0.00052417506,0.000021302729,0.000090085065,0.000622549,0.00006290193,0.963199,0.012002418,0.016909212,0.0060281483,0.000042677984],"about_ca_topic_score_codex":0.0007367023,"about_ca_topic_score_gemma":0.0011783278,"teacher_disagreement_score":0.0010134982,"about_ca_system_score_codex":0.0003924724,"about_ca_system_score_gemma":0.0005478092,"threshold_uncertainty_score":0.0035945773},"labels":[],"label_agreement":null},{"id":"W2169879363","doi":"10.1109/tvt.2010.2096545","title":"Joint Optimal Cooperative Sensing and Resource Allocation in Multichannel Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cognitive radio; Computer science; Channel (broadcasting); Optimization problem; Computer network; Resource allocation; Bandwidth (computing); Statistic; Channel allocation schemes; Mathematical optimization; Joint (building); Test statistic; Wideband; Wireless; Engineering; Telecommunications; Electronic engineering; Algorithm; Mathematics; Statistics; Statistical hypothesis testing","score_opus":0.009339634032563991,"score_gpt":0.2206797580554503,"score_spread":0.2113401240228863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169879363","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":[0.043579493,0.00089449284,0.9513564,0.00035139156,0.000041006268,0.000059703387,0.000028654604,0.000107466505,0.0035813528],"genre_scores_gemma":[0.94543475,0.00038314503,0.052018933,0.00010804886,0.000043447184,0.00012905427,0.00002341579,0.000027589123,0.0018317173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755114,0.0011326205,0.00008098484,0.0003702183,0.00043735074,0.0004276088],"domain_scores_gemma":[0.9976828,0.0016306443,0.00025625454,0.00011007905,0.00020978814,0.000110292356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00309757,0.0010124042,0.0015786663,0.00063877914,0.00063577783,0.0016149046,0.0013581062,0.0013872102,0.0007048764],"category_scores_gemma":[0.005746709,0.0007975283,0.0005065867,0.0011610554,0.001821745,0.0016826263,0.0016362142,0.0006753188,0.0001322635],"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":[0.00013470909,0.000071001865,0.00038562773,0.000087345776,0.000076388336,0.00016565455,0.00013259191,0.94659376,0.0015753992,0.027581198,0.0005047755,0.022691557],"study_design_scores_gemma":[0.000020158603,0.000035011784,0.00008778781,0.0000052360065,0.000010417314,0.000029667732,0.000031690775,0.9823589,0.00036707678,0.016785298,0.00026096267,0.000007874132],"about_ca_topic_score_codex":0.0039530336,"about_ca_topic_score_gemma":0.0031271782,"teacher_disagreement_score":0.0039530336,"about_ca_system_score_codex":0.0012771294,"about_ca_system_score_gemma":0.0016514019,"threshold_uncertainty_score":0.016381681},"labels":[],"label_agreement":null},{"id":"W2170139845","doi":"10.1109/tvt.2006.877459","title":"Performance Bounds for Combined Channel Coding and Space–Time Block Coding With Receive Antenna Selection","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","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":"Concordia University","funders":"","keywords":"Block code; Upper and lower bounds; Concatenation (mathematics); Algorithm; Fading; Coding gain; Space–time block code; Mathematics; Concatenated error correction code; Computer science; Convolutional code; Space–time code; Topology (electrical circuits); Decoding methods; Combinatorics","score_opus":0.006032298490512795,"score_gpt":0.20131301848966432,"score_spread":0.19528071999915153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170139845","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":[0.09638349,0.009467758,0.855961,0.0009071054,0.00024838015,0.00010875749,0.00044679278,0.0012747146,0.035201993],"genre_scores_gemma":[0.92512417,0.0027421697,0.06542123,0.0002663144,0.00023796485,0.00015960092,0.00048828032,0.00020427798,0.0053559486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954804,0.001235083,0.00013076731,0.0003574704,0.0019342134,0.00086202956],"domain_scores_gemma":[0.9747012,0.01803775,0.0014955011,0.0017993758,0.0036181759,0.00034799954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042063463,0.0021493349,0.0015963757,0.0010943845,0.00069278927,0.0023512826,0.0011516897,0.0012580922,0.0040366664],"category_scores_gemma":[0.019141477,0.00066405925,0.0005772323,0.0015744863,0.0017861786,0.0026877732,0.002840583,0.0016990531,0.0011830854],"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":[0.0007970665,0.00006994663,0.0014070113,0.00032790378,0.00018583277,0.00017340179,0.00018875362,0.8669533,0.0120675545,0.0621597,0.0027961635,0.052873343],"study_design_scores_gemma":[0.000014300079,0.00014072425,0.00048101443,0.000063519336,0.0000472518,0.000119652046,0.000028428094,0.9788936,0.0051665665,0.013392333,0.0016180835,0.000034448753],"about_ca_topic_score_codex":0.0030187026,"about_ca_topic_score_gemma":0.002912325,"teacher_disagreement_score":0.0042063463,"about_ca_system_score_codex":0.0026151799,"about_ca_system_score_gemma":0.0015951092,"threshold_uncertainty_score":0.022245526},"labels":[],"label_agreement":null},{"id":"W2170635816","doi":"10.1109/tvt.2007.905606","title":"Evaluations of Achievable Rate and Power Consumption in Cooperative Cellular Networks With Two Classes of Nodes","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relay; Computer network; Base station; Power consumption; Computer science; Transmitter power output; Homogeneous; Power (physics); Cellular network; Transmitter; Mathematics; Channel (broadcasting)","score_opus":0.02812692240828748,"score_gpt":0.2759654547461557,"score_spread":0.2478385323378682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170635816","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":[0.81833506,0.0014704434,0.16167642,0.00025008232,0.000025651201,0.00014274749,0.00022990705,0.0004270673,0.017442616],"genre_scores_gemma":[0.9925086,0.00018317263,0.0065714107,0.000013860584,0.0000041473077,0.00006931258,0.000091631,0.000019960573,0.0005378985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966569,0.0012601427,0.0001346143,0.00021938256,0.0012187612,0.0005101896],"domain_scores_gemma":[0.9877457,0.008785299,0.00062357815,0.00088909053,0.001816082,0.00014027159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003248266,0.0012282114,0.0008941137,0.0011645134,0.00037544288,0.0009678551,0.001191414,0.0009466787,0.0007764858],"category_scores_gemma":[0.016049828,0.00021481664,0.00044849576,0.0015909894,0.0009873972,0.0012452311,0.0009793176,0.00048423224,0.00020238264],"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":[0.00038033986,0.00007153599,0.0011311419,0.000095949195,0.000045842753,0.000114895854,0.000057763787,0.9764524,0.004613727,0.003857012,0.00014367777,0.013035689],"study_design_scores_gemma":[0.000037183574,0.0006056175,0.0012332529,0.000019399062,0.000047670765,0.00016950954,0.000096554344,0.9811772,0.013353173,0.0028631568,0.0003736312,0.000023669918],"about_ca_topic_score_codex":0.0025692692,"about_ca_topic_score_gemma":0.0021214364,"teacher_disagreement_score":0.003248266,"about_ca_system_score_codex":0.0015278544,"about_ca_system_score_gemma":0.0006709219,"threshold_uncertainty_score":0.017178655},"labels":[],"label_agreement":null},{"id":"W2170795006","doi":"10.1109/tvt.2010.2045522","title":"Simulation Model of a Military HEV With a Highly Redundant Architecture","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":45,"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 Trois-Rivières","funders":"","keywords":"Redundancy (engineering); Propulsion; Architecture; Reliability (semiconductor); Electric vehicle; Engineering; Computer science; Control engineering; Energy management; Modeling and simulation; Simulation; Power (physics); Reliability engineering; Energy (signal processing); Aerospace engineering","score_opus":0.005938540037531066,"score_gpt":0.19761620140719133,"score_spread":0.19167766136966027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170795006","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":[0.50101465,0.00051623955,0.41399828,0.0010694683,0.00023853371,0.000433403,0.003362907,0.0021765127,0.07718992],"genre_scores_gemma":[0.97473294,0.00027745156,0.012176627,0.00007592211,0.000019906813,0.0003421802,0.0008770504,0.0000481605,0.011449823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998479,0.000048656704,0.000008758963,0.000027072188,0.000037402147,0.00003022224],"domain_scores_gemma":[0.9998148,0.00007537869,0.000023543602,0.000019374971,0.00004530623,0.000021603379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002174876,0.00067468255,0.0006281847,0.00042853944,0.00074688334,0.0007906864,0.0013148579,0.0015259346,0.0056390553],"category_scores_gemma":[0.00043905454,0.00029674935,0.00075074926,0.00034604306,0.0005717602,0.00061278295,0.000679838,0.00075027323,0.0005685672],"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":[0.000033734766,0.00001636035,0.00029839744,0.000014819769,0.000008678938,0.00005963204,0.000023955252,0.9960295,0.00085332687,0.0018748402,0.00011949148,0.0006673006],"study_design_scores_gemma":[0.000020056703,0.000030447673,0.00015674756,0.0000033956128,0.0000070167894,0.000011774468,0.000013336279,0.9982686,0.00032941994,0.0006336787,0.00052024197,0.000005137643],"about_ca_topic_score_codex":0.018028492,"about_ca_topic_score_gemma":0.007536734,"teacher_disagreement_score":0.018028492,"about_ca_system_score_codex":0.00071466697,"about_ca_system_score_gemma":0.0010989786,"threshold_uncertainty_score":0.035847127},"labels":[],"label_agreement":null},{"id":"W2171464230","doi":"10.1109/tvt.2003.808798","title":"Soft-decision multistage multiuser interference cancellation","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Single antenna interference cancellation; Clipper (electronics); Computer science; Interference (communication); Propagation of uncertainty; Multiuser detection; Code division multiple access; Spread spectrum; Algorithm; Electronic engineering; Bit error rate; Telecommunications; Engineering; Decoding methods","score_opus":0.02068712133183928,"score_gpt":0.2797163131549251,"score_spread":0.2590291918230858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171464230","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":[0.06273315,0.00063406565,0.92878515,0.00010962584,0.00006524892,0.000083356965,0.000105143794,0.0005230989,0.006961189],"genre_scores_gemma":[0.8617623,0.0003543814,0.13428482,0.00018323747,0.000047875623,0.00007235894,0.0001213512,0.00002655623,0.003147168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989666,0.00019435646,0.000036337984,0.000088127366,0.000594378,0.00012026116],"domain_scores_gemma":[0.998307,0.0007078505,0.00019696381,0.00024494127,0.000482029,0.00006122055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094423397,0.0006741423,0.0006911864,0.00040191392,0.00032137128,0.00067925133,0.00084759766,0.0005926184,0.0015361622],"category_scores_gemma":[0.0023209464,0.00015294821,0.00037512823,0.0006551157,0.0006954528,0.0005712476,0.00060940976,0.00053282775,0.00052312255],"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":[0.0007817589,0.0001882798,0.0029776688,0.00045312487,0.00019923858,0.00050688477,0.00013465404,0.6119101,0.09646039,0.059450004,0.0029792066,0.22395866],"study_design_scores_gemma":[0.000023954995,0.00015318372,0.0004837942,0.000011837587,0.000018337178,0.00017601768,0.000009323446,0.9586744,0.034478232,0.004504267,0.0014445368,0.000022152044],"about_ca_topic_score_codex":0.0006727377,"about_ca_topic_score_gemma":0.0010689684,"teacher_disagreement_score":0.0015361622,"about_ca_system_score_codex":0.0006023403,"about_ca_system_score_gemma":0.0005761643,"threshold_uncertainty_score":0.0051389933},"labels":[],"label_agreement":null},{"id":"W2171632067","doi":"10.1109/tvt.2007.912325","title":"Overloaded Array Processing Using Genetic Algorithms With Soft-Biased Initialization","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Initialization; Narrowband; Algorithm; Channel (broadcasting); Computer science; Spatial correlation; Genetic algorithm; Convergence (economics); Electronic engineering; Telecommunications; Engineering","score_opus":0.017443967949507668,"score_gpt":0.21056201815355285,"score_spread":0.19311805020404518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171632067","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":[0.014891312,0.00006923835,0.9837397,0.000053427684,0.000014275283,0.000017481872,0.0000064864607,0.00021329212,0.0009948487],"genre_scores_gemma":[0.37474,0.00013116705,0.6229185,0.00010448367,0.00003311527,0.00013242078,0.000050416802,0.00007032144,0.0018195005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953055,0.00019085042,0.000016996384,0.0000720623,0.00013648742,0.000053025353],"domain_scores_gemma":[0.9986389,0.0007694766,0.00020638059,0.0001397244,0.00020453095,0.000040965137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007987794,0.0007956094,0.00078825274,0.0005841603,0.00035484103,0.0008547104,0.00074036804,0.0009368338,0.00090957584],"category_scores_gemma":[0.0033881923,0.00038615323,0.00036023406,0.0006292387,0.0007524882,0.00083064317,0.0007763595,0.0008986964,0.00034054037],"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":[0.00006806929,0.000035656212,0.00039010862,0.00003107298,0.000031109426,0.000060905633,0.00009179206,0.9142672,0.008432356,0.01249382,0.00041107228,0.06368681],"study_design_scores_gemma":[0.000011719466,0.0000297429,0.00004831973,0.0000050304566,0.0000046557943,0.000016350912,0.000007291481,0.9939209,0.0018906215,0.0037107216,0.00034852503,0.000006067311],"about_ca_topic_score_codex":0.0016298556,"about_ca_topic_score_gemma":0.0017468793,"teacher_disagreement_score":0.0016298556,"about_ca_system_score_codex":0.000592263,"about_ca_system_score_gemma":0.0007224422,"threshold_uncertainty_score":0.004297197},"labels":[],"label_agreement":null},{"id":"W2180808544","doi":"10.1109/tvt.2017.2721446","title":"Time Synchronization of Turbo-Coded Square-QAM-Modulated Transmissions: Code-Aided ML Estimator and Closed-Form Cramér–Rao Lower Bounds","year":2017,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Institut National de la Recherche Scientifique; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Turbo code; Estimator; QAM; Computer science; Synchronization (alternating current); Turbo; Cramér–Rao bound; Quadrature amplitude modulation; Mathematics; Decoding methods; Estimation theory; Bit error rate; Statistics; Channel (broadcasting); Telecommunications","score_opus":0.009783456148719713,"score_gpt":0.25300992322549953,"score_spread":0.2432264670767798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180808544","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":[0.005189893,0.00047850644,0.99288565,0.000086422304,0.000020622221,0.000012855749,0.00003000218,0.00013772746,0.0011583804],"genre_scores_gemma":[0.56490815,0.0022514635,0.42789334,0.00020376225,0.00020501195,0.0002533985,0.0003254547,0.00022887297,0.0037306056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985959,0.0005322962,0.000057639336,0.00016845785,0.0005562182,0.00008952967],"domain_scores_gemma":[0.99422234,0.0042457236,0.00045851737,0.00036737017,0.00064181373,0.00006424411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023967149,0.0009986402,0.00095177954,0.0007198495,0.0003198543,0.0016635268,0.0010817982,0.0012000867,0.0013741893],"category_scores_gemma":[0.017148847,0.0005319075,0.0006071077,0.00080572616,0.0011981678,0.0019432489,0.0011599495,0.0014844417,0.0007450091],"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":[0.00006860237,0.000023969722,0.0005320528,0.00014107431,0.000040422787,0.00007127853,0.00012116529,0.90571994,0.0046316213,0.055126738,0.00074652187,0.032776605],"study_design_scores_gemma":[0.0000054295256,0.000021126609,0.00010047099,0.000022938251,0.000006065287,0.00003144846,0.0000088524275,0.99085474,0.0020054819,0.0064554308,0.00047517652,0.000012827068],"about_ca_topic_score_codex":0.0018169078,"about_ca_topic_score_gemma":0.0017642615,"teacher_disagreement_score":0.0023967149,"about_ca_system_score_codex":0.0009487162,"about_ca_system_score_gemma":0.001801203,"threshold_uncertainty_score":0.012675226},"labels":[],"label_agreement":null},{"id":"W2197673850","doi":"10.1109/tvt.2015.2480711","title":"On-Road Caching Assistance for Ubiquitous Vehicle-Based Information Services","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cache; Computer science; Scheme (mathematics); Computer network; Network packet; Path (computing); False sharing; CPU cache","score_opus":0.014194135453235024,"score_gpt":0.2301659841074966,"score_spread":0.21597184865426158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2197673850","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":[0.21505696,0.0047916877,0.76529497,0.0005085989,0.0002429867,0.00018598464,0.00023270064,0.003191553,0.010494473],"genre_scores_gemma":[0.9584497,0.00073942944,0.037706606,0.000078700854,0.000031479605,0.000031485368,0.00015823168,0.00003292698,0.0027714],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996513,0.00008897765,0.00001900647,0.000047616,0.00010145163,0.00009174136],"domain_scores_gemma":[0.99911994,0.00018759168,0.00008647188,0.0002241131,0.0003244999,0.000057319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038306823,0.00047283413,0.000535707,0.0005376442,0.00062298146,0.000686331,0.0016001879,0.0007014825,0.0012627166],"category_scores_gemma":[0.0013519833,0.0001538429,0.0002571464,0.00078398915,0.00027560766,0.0014718636,0.0008942292,0.00038574758,0.00044687735],"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":[0.00083313556,0.0003348313,0.010877807,0.0006080145,0.00017507712,0.001701748,0.0005808691,0.10486381,0.09373293,0.047871813,0.0172522,0.7211678],"study_design_scores_gemma":[0.000043907046,0.00042413248,0.0028064651,0.000058051068,0.00015260254,0.0013159786,0.0007099405,0.90730685,0.04220008,0.009942365,0.034968615,0.000070990995],"about_ca_topic_score_codex":0.009567014,"about_ca_topic_score_gemma":0.010368103,"teacher_disagreement_score":0.009567014,"about_ca_system_score_codex":0.0007776131,"about_ca_system_score_gemma":0.0009045096,"threshold_uncertainty_score":0.019022644},"labels":[],"label_agreement":null},{"id":"W2204850901","doi":"10.1109/tvt.2015.2487262","title":"Motivation for Protecting Selfish Vehicles' Location Privacy in Vehicular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":69,"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":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Pseudonym; Computer security; Reputation; Overhead (engineering); Privacy protection; Computer science; Vehicular ad hoc network; Bandwidth (computing); Intelligent transportation system; Computer network; Engineering; Wireless ad hoc network; Transport engineering; Wireless; Telecommunications","score_opus":0.01745220147413382,"score_gpt":0.22325153345098375,"score_spread":0.20579933197684994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2204850901","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":[0.14286138,0.00096456957,0.8421487,0.00194791,0.00013923015,0.00021443148,0.00009057702,0.00035907383,0.011274122],"genre_scores_gemma":[0.95638674,0.00031191055,0.041259006,0.0001829001,0.00006670188,0.00012058964,0.00005628669,0.000021857764,0.0015940415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970209,0.0014431907,0.00012763623,0.00040524275,0.00072994013,0.00027307155],"domain_scores_gemma":[0.995924,0.0015666735,0.0006901435,0.00090210023,0.0006648334,0.00025220806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002545404,0.0005045925,0.0005220053,0.0004977996,0.0012648532,0.0015868298,0.0013621222,0.0010930273,0.0008141482],"category_scores_gemma":[0.0063828146,0.00034487146,0.00060909416,0.0005799336,0.0013481972,0.0033465694,0.0023356192,0.0012751021,0.00025385778],"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":[0.000604878,0.00036573914,0.015373508,0.00075283286,0.00027029513,0.0013146213,0.0029524462,0.21660283,0.045391012,0.48847866,0.010351908,0.21754125],"study_design_scores_gemma":[0.00010880693,0.0004046147,0.002873026,0.000097513155,0.0001055107,0.0011353062,0.0011448715,0.7799663,0.016981097,0.16887958,0.028182201,0.000121186844],"about_ca_topic_score_codex":0.00088930054,"about_ca_topic_score_gemma":0.000789152,"teacher_disagreement_score":0.002545404,"about_ca_system_score_codex":0.0008358514,"about_ca_system_score_gemma":0.0013837861,"threshold_uncertainty_score":0.01346153},"labels":[],"label_agreement":null},{"id":"W2208951633","doi":"10.1109/tvt.2015.2482904","title":"Impact of Microscopic Vehicle Mobility on Cluster-Based Routing Overhead in &lt;roman&gt;VANETs&lt;/roman&gt;","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":34,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overhead (engineering); Computer network; Node (physics); Computer science; Routing protocol; Wireless ad hoc network; Topology (electrical circuits); Cluster analysis; Dynamic Source Routing; Routing (electronic design automation); Cluster (spacecraft); Distributed computing; Engineering; Telecommunications; Wireless; Electrical engineering","score_opus":0.011126949342230288,"score_gpt":0.24314144036698437,"score_spread":0.23201449102475408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208951633","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":[0.73134017,0.0013777375,0.25584543,0.000782805,0.00012286585,0.000051655767,0.00019575929,0.0003268552,0.009956754],"genre_scores_gemma":[0.997818,0.00019213384,0.0014981348,0.000017971437,0.000008713207,0.000005708645,0.000022509075,0.0000125951765,0.00042426042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939334,0.00018093013,0.000022509379,0.000092138325,0.00018795965,0.00012308359],"domain_scores_gemma":[0.9982152,0.0010319389,0.0003563426,0.00013445344,0.00020596787,0.00005611057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802901,0.0003951574,0.00035535052,0.0007217598,0.00045180196,0.0008354313,0.0005851146,0.00049914524,0.00053905067],"category_scores_gemma":[0.0034979659,0.0002127944,0.00028964895,0.0006898751,0.00070549094,0.0011134949,0.0005868767,0.00038698275,0.000078414705],"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":[0.000033482618,0.000015933383,0.0015969613,0.000014659998,0.000012123918,0.00007846494,0.000023858945,0.9857115,0.0021261435,0.0058438904,0.0002197307,0.004323228],"study_design_scores_gemma":[0.0000018489243,0.000023309276,0.00092960004,0.000003193162,0.0000067993124,0.000038737562,0.000024019739,0.9964855,0.0008082538,0.0014704706,0.00020057581,0.000007781678],"about_ca_topic_score_codex":0.0051287487,"about_ca_topic_score_gemma":0.003721424,"teacher_disagreement_score":0.0051287487,"about_ca_system_score_codex":0.0014943519,"about_ca_system_score_gemma":0.0006112654,"threshold_uncertainty_score":0.010842323},"labels":[],"label_agreement":null},{"id":"W2209750911","doi":"10.1109/tvt.2015.2487679","title":"ODCRep: Origin–Destination-Based Content Replication for Vehicular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":13,"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 Ottawa","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Replication (statistics); Computer science; Computer network; Distributed computing","score_opus":0.03814618889238749,"score_gpt":0.2500881692841574,"score_spread":0.2119419803917699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209750911","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":[0.019109378,0.0009769013,0.96803397,0.00029599294,0.0003330272,0.00058718945,0.00030811646,0.0055643553,0.0047910684],"genre_scores_gemma":[0.58132565,0.0008544764,0.40786865,0.00023586463,0.0001723934,0.000508023,0.0015730053,0.00039910222,0.0070628063],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989613,0.00025074056,0.00007949085,0.00018971637,0.00034040053,0.00017833307],"domain_scores_gemma":[0.9984492,0.00032259081,0.00016061946,0.00048622783,0.00043260682,0.00014870705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012442097,0.0007626114,0.00075137476,0.0012983703,0.0011721981,0.0013101184,0.0030394443,0.00095705583,0.001848345],"category_scores_gemma":[0.0033342375,0.00033444466,0.0005017244,0.001176677,0.0006217909,0.0017370592,0.0031041573,0.0008330787,0.0011240029],"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":[0.00086708943,0.00029412433,0.0030464057,0.00071488676,0.00020845144,0.0010347087,0.0005783778,0.24729782,0.057845805,0.05361237,0.040891327,0.5936087],"study_design_scores_gemma":[0.00014595182,0.00021666045,0.0004883282,0.000040107443,0.00005070225,0.00060349505,0.00013278233,0.9165806,0.02253585,0.016474394,0.042650353,0.00008072518],"about_ca_topic_score_codex":0.0040807165,"about_ca_topic_score_gemma":0.0038614848,"teacher_disagreement_score":0.0040807165,"about_ca_system_score_codex":0.0010057426,"about_ca_system_score_gemma":0.0015340361,"threshold_uncertainty_score":0.008113921},"labels":[],"label_agreement":null},{"id":"W2224668454","doi":"10.1109/tvt.2015.2438192","title":"On the Multivariate Gamma–Gamma Distribution With Arbitrary Correlation and Applications in Wireless Communications","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; National Natural Science Foundation of China; China Postdoctoral Science Foundation; Queen's University Belfast","keywords":"Cumulative distribution function; Moment-generating function; Probability density function; Gamma distribution; Multivariate statistics; Joint probability distribution; Correlation; Random variable; Mathematics; Multivariate normal distribution; Distribution (mathematics); Correlation function (quantum field theory); Moment (physics); Elliptical distribution; Statistical physics; Wireless; Statistics; Probability distribution; Computer science; Physics; Mathematical analysis; Telecommunications; Quantum mechanics; Spectral density","score_opus":0.025802561865844596,"score_gpt":0.2653797140596098,"score_spread":0.2395771521937652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224668454","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016551182,0.0029720487,0.97019523,0.0006963916,0.00010868612,0.000030608244,0.00012537299,0.00017856773,0.009141892],"genre_scores_gemma":[0.824217,0.019968804,0.14270838,0.00089937117,0.0009105682,0.0002987293,0.00054668233,0.00026429628,0.010186114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896014,0.00041839157,0.000033259832,0.00016739022,0.0003002102,0.000120653836],"domain_scores_gemma":[0.9953933,0.003060816,0.0004652624,0.00031524897,0.00067944906,0.00008592748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020515858,0.0011844616,0.00077176525,0.0016694178,0.00057850184,0.0015985302,0.0009470942,0.0012361017,0.0024153476],"category_scores_gemma":[0.0099399,0.0005010723,0.0007953361,0.003991795,0.0029348778,0.0028858657,0.0010633133,0.0021954046,0.00080778217],"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":[0.00006592273,0.00002027955,0.0017579822,0.00021143489,0.00005203784,0.0007039427,0.00021023332,0.21225981,0.002921746,0.74698186,0.0040160543,0.030798677],"study_design_scores_gemma":[0.000018425932,0.00005070634,0.0016523139,0.00013357532,0.000043356256,0.000940756,0.00011950081,0.5713222,0.0017081742,0.4139901,0.009939444,0.000081469465],"about_ca_topic_score_codex":0.0029206364,"about_ca_topic_score_gemma":0.0014608254,"teacher_disagreement_score":0.0029206364,"about_ca_system_score_codex":0.0012721943,"about_ca_system_score_gemma":0.0011095824,"threshold_uncertainty_score":0.010850012},"labels":[],"label_agreement":null},{"id":"W2226542185","doi":"10.1109/tvt.2015.2438171","title":"Adaptive Air-to-Ground Secure Communication System Based on ADS-B and Wide-Area Multilateration","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Multilateration; Geolocation; Real-time computing; FDOA; Computer science; Dilution of precision; Angle of arrival; Beamforming; Engineering; Telecommunications; Antenna (radio); Global Positioning System; GNSS applications","score_opus":0.011520267378713625,"score_gpt":0.19575470622796212,"score_spread":0.1842344388492485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2226542185","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":[0.26717716,0.0007486547,0.6962503,0.0004723596,0.0004474719,0.00038325402,0.00024299734,0.009645496,0.024632337],"genre_scores_gemma":[0.8996132,0.00019720805,0.092227906,0.00024807107,0.000096040145,0.00020832541,0.00019533459,0.000046876503,0.007166987],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995671,0.00007292415,0.000024680781,0.000096428936,0.00019484811,0.000044084813],"domain_scores_gemma":[0.9997087,0.000038518458,0.000062463645,0.000050849892,0.00011042993,0.00002897196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020912442,0.0005047392,0.00034116185,0.0004977963,0.0003572178,0.0004138718,0.0008045868,0.0004546694,0.0022978582],"category_scores_gemma":[0.000348901,0.00014357727,0.00016223303,0.00030584654,0.00022592004,0.00063909485,0.00068967894,0.00037087224,0.0013060239],"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":[0.00092928455,0.0002794676,0.0071021994,0.00037091083,0.0000925662,0.0010085739,0.00048388468,0.018152237,0.52798605,0.0152547555,0.009611658,0.41872838],"study_design_scores_gemma":[0.00045253025,0.004382946,0.01173468,0.0000977697,0.00022969583,0.004364374,0.00022965815,0.48645702,0.40341252,0.0030297565,0.0854093,0.00019975255],"about_ca_topic_score_codex":0.0005272658,"about_ca_topic_score_gemma":0.0005958558,"teacher_disagreement_score":0.0022978582,"about_ca_system_score_codex":0.00026068653,"about_ca_system_score_gemma":0.00034844162,"threshold_uncertainty_score":0.007687092},"labels":[],"label_agreement":null},{"id":"W2233265793","doi":"10.1109/tvt.2015.2447452","title":"A Random Channel Sounding Decision Feedback Receiver for Two-Way Relay Communication With Pilotless Orthogonal Signaling and Physical-Layer Network Coding","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fading; Telecommunications link; Electronic engineering; Relay; Additive white Gaussian noise; Keying; Phase-shift keying; Channel sounding; Bit error rate; Rayleigh fading; Computer science; Physical layer; Channel (broadcasting); Algorithm; Engineering; Telecommunications; MIMO; Physics; Wireless","score_opus":0.041211772487392294,"score_gpt":0.2832951468033171,"score_spread":0.24208337431592478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2233265793","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":[0.026154388,0.0004371777,0.97157145,0.00017626134,0.00007822594,0.000070415066,0.000028157388,0.00052488095,0.00095905137],"genre_scores_gemma":[0.53250754,0.0004140152,0.46380088,0.00026831307,0.00012921884,0.00015691106,0.000081416496,0.00003342436,0.0026082864],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933726,0.00022738222,0.000029482087,0.00010956976,0.0002518078,0.000044555574],"domain_scores_gemma":[0.9995403,0.00013706059,0.00007969561,0.00007076575,0.00014792418,0.000024290584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011239289,0.00055071816,0.0005991748,0.00027423992,0.00029906438,0.00060473185,0.0014669962,0.0010470005,0.0010274568],"category_scores_gemma":[0.0010276493,0.00033221924,0.00038831015,0.00020355677,0.00047534838,0.0007455266,0.00053528923,0.00068153144,0.00073805783],"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":[0.0011960719,0.00036618055,0.0031319275,0.00067802356,0.00029728224,0.0010035151,0.00045195577,0.11441885,0.50051695,0.05404924,0.0042446083,0.31964535],"study_design_scores_gemma":[0.00024561936,0.0013738181,0.0006003421,0.00004108036,0.00014587994,0.0009359678,0.00002937309,0.889958,0.09511425,0.0025782122,0.008883222,0.00009423721],"about_ca_topic_score_codex":0.00044732462,"about_ca_topic_score_gemma":0.00074659195,"teacher_disagreement_score":0.0014669962,"about_ca_system_score_codex":0.00046918957,"about_ca_system_score_gemma":0.00049967266,"threshold_uncertainty_score":0.0059440136},"labels":[],"label_agreement":null},{"id":"W2294224885","doi":"10.1109/tvt.2015.2389826","title":"Overhearing Protocol Design Exploiting Intercell Interference in Cooperative Green Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Key Research and Development Program of China; Ministry of Education; National Natural Science Foundation of China","keywords":"Relay; Telecommunications link; Transmitter; Computer science; Transmitter power output; Interference (communication); Cellular network; Computer network; Enhanced Data Rates for GSM Evolution; Power (physics); Telecommunications; Channel (broadcasting)","score_opus":0.07880553506764897,"score_gpt":0.30135268947620647,"score_spread":0.2225471544085575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294224885","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":[0.024275208,0.00028337186,0.9723999,0.0001247867,0.000022601756,0.00005046899,0.000017702534,0.000088458575,0.0027374316],"genre_scores_gemma":[0.9075921,0.0004728547,0.089656495,0.00012907185,0.000032409676,0.00016888672,0.000037441023,0.000029884937,0.0018807276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999283,0.00025252253,0.00002637835,0.00012945944,0.00020339171,0.00010539281],"domain_scores_gemma":[0.99913603,0.0004310962,0.00014843006,0.00006787708,0.00017706212,0.000039513856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013662935,0.00072680536,0.000555355,0.00037172885,0.000335495,0.0007532648,0.0010685108,0.0006269499,0.00078867236],"category_scores_gemma":[0.0018917533,0.00029713722,0.00031722497,0.00043897776,0.0010155007,0.00083679095,0.0009612564,0.0007142039,0.00017099992],"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":[0.00007819338,0.00006850205,0.00028194388,0.000109111905,0.000039717503,0.00020739496,0.00025219837,0.90552336,0.018385727,0.039373748,0.00089216477,0.034788083],"study_design_scores_gemma":[0.000008391041,0.00006465781,0.000027330654,0.0000051736492,0.000007928016,0.000029045144,0.000020772899,0.99402314,0.0012622558,0.0040780753,0.0004674832,0.0000056909107],"about_ca_topic_score_codex":0.0016836294,"about_ca_topic_score_gemma":0.0018954392,"teacher_disagreement_score":0.0016836294,"about_ca_system_score_codex":0.0008356403,"about_ca_system_score_gemma":0.00093330495,"threshold_uncertainty_score":0.0072256923},"labels":[],"label_agreement":null},{"id":"W2296439027","doi":"10.1109/tvt.2016.2517042","title":"Modeling and Analysis of Cooperative Relaying in Spectrum-Sharing Cellular Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Electronic engineering; Engineering; Computer network","score_opus":0.0244527046083669,"score_gpt":0.24926056232298488,"score_spread":0.22480785771461798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296439027","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":[0.04822209,0.0014794907,0.9299118,0.000640632,0.000081787824,0.00007315377,0.00018406054,0.00019252951,0.019214451],"genre_scores_gemma":[0.97148377,0.0013637727,0.017097306,0.00009658227,0.000096672025,0.00014216386,0.00012546947,0.0000486487,0.009545478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940383,0.00020170226,0.000024658588,0.00009763474,0.00017391902,0.000098247656],"domain_scores_gemma":[0.99906856,0.0004895004,0.0001771304,0.000048175967,0.00017945026,0.000037154085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008187076,0.0010750332,0.0009862756,0.0006514306,0.00060780096,0.0016266691,0.0014588243,0.0018071901,0.0016707361],"category_scores_gemma":[0.002199977,0.00041983215,0.00072405016,0.0007681136,0.0010239133,0.0012964569,0.0010183351,0.00086143985,0.00042943357],"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":[0.000011988582,0.000012370368,0.00032435256,0.000025670894,0.000014406357,0.00015321285,0.00007883226,0.96213514,0.00076276594,0.03364677,0.00031020324,0.002524318],"study_design_scores_gemma":[0.0000013417391,0.0000046061027,0.000041800668,0.0000018701808,0.000002508301,0.000012045678,0.000008291776,0.9963528,0.000045296074,0.0033322207,0.00019448102,0.0000027220574],"about_ca_topic_score_codex":0.013635963,"about_ca_topic_score_gemma":0.005507237,"teacher_disagreement_score":0.013635963,"about_ca_system_score_codex":0.0015964829,"about_ca_system_score_gemma":0.0008037527,"threshold_uncertainty_score":0.0271132},"labels":[],"label_agreement":null},{"id":"W2314307572","doi":"10.1109/tvt.2015.2418318","title":"Noncommutative Composite Water-Filling for Energy Harvesting and Smart Power Grid Hybrid System With Peak Power Constraints","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":17,"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":"Mathematical optimization; Computer science; Power (physics); Smart grid; Power budget; Grid; Energy harvesting; Energy (signal processing); Maximization; Algorithm; Electric power system; Mathematics; Engineering; Electrical engineering","score_opus":0.008647112269751274,"score_gpt":0.19379056163991862,"score_spread":0.18514344937016736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314307572","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":[0.033281807,0.0001248796,0.9644596,0.00008234508,0.000015252632,0.000021343245,0.000022533975,0.00010923797,0.001883066],"genre_scores_gemma":[0.80132717,0.00017589839,0.19562891,0.0000451703,0.000015408781,0.00009834969,0.000053242107,0.000056081593,0.0025997213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985063,0.00005163081,0.000006468655,0.000029829402,0.000036199337,0.000025231766],"domain_scores_gemma":[0.9997434,0.00017081868,0.0000260916,0.0000223925,0.000025115558,0.000012130852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005842558,0.0003871798,0.0006299609,0.00021208203,0.00031814814,0.00054931553,0.00057238067,0.000367809,0.0017779716],"category_scores_gemma":[0.00089488155,0.00023063003,0.00040709123,0.0004919228,0.0007896342,0.0010292316,0.00076811574,0.0005404413,0.00013097859],"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":[0.000085875385,0.0000415429,0.00036042038,0.00008766881,0.000017116798,0.00009681996,0.00013774192,0.879019,0.0059931674,0.08144608,0.000699718,0.032014873],"study_design_scores_gemma":[0.0000033675235,0.000010227755,0.000024598063,0.0000012639454,0.0000014530439,0.0000063747993,0.0000064990495,0.9930205,0.0004876138,0.0062007005,0.00023477535,0.0000026591406],"about_ca_topic_score_codex":0.001848632,"about_ca_topic_score_gemma":0.0018536564,"teacher_disagreement_score":0.001848632,"about_ca_system_score_codex":0.0005445329,"about_ca_system_score_gemma":0.00065350876,"threshold_uncertainty_score":0.0059479475},"labels":[],"label_agreement":null},{"id":"W2317055323","doi":"10.1109/tvt.2015.2416714","title":"Uplink Achievable Rate and Power Allocation in Cooperative LTE-Advanced Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"University of Waterloo","funders":"","keywords":"Telecommunications link; Power (physics); Computer science; LTE Advanced; Computer network; Electronic engineering; Engineering; Physics","score_opus":0.007808854829808219,"score_gpt":0.2177250368224395,"score_spread":0.20991618199263126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317055323","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":[0.0731225,0.002375003,0.9084175,0.0003441326,0.00003614827,0.000046318193,0.00010316832,0.00024696733,0.015308208],"genre_scores_gemma":[0.9676316,0.0011615066,0.029322682,0.00006153332,0.00004614152,0.00009730839,0.000057124184,0.000035529476,0.001586612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847955,0.0006385452,0.000047027654,0.0001106032,0.00048027394,0.00024404061],"domain_scores_gemma":[0.9973586,0.0017359745,0.0002345361,0.00016741233,0.0004616775,0.00004171636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018285355,0.0009506738,0.0007269685,0.00064567203,0.00049164967,0.0013098652,0.0008476998,0.0007930351,0.00074402685],"category_scores_gemma":[0.007015691,0.00041393004,0.00041526867,0.00096148544,0.0010099674,0.0011326607,0.0010407541,0.0005698044,0.00035617265],"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":[0.000069812646,0.00003971812,0.00053222367,0.0001112315,0.00003220627,0.00018453377,0.00015798197,0.91466105,0.0076560136,0.05853242,0.0007887468,0.01723401],"study_design_scores_gemma":[0.000007667761,0.000033043812,0.00014803672,0.000017459872,0.000009036675,0.000059392478,0.000037350528,0.9846038,0.0015371578,0.013024712,0.000513386,0.000008948871],"about_ca_topic_score_codex":0.0017401717,"about_ca_topic_score_gemma":0.0013820436,"teacher_disagreement_score":0.0018285355,"about_ca_system_score_codex":0.0011660585,"about_ca_system_score_gemma":0.0008621969,"threshold_uncertainty_score":0.009670317},"labels":[],"label_agreement":null},{"id":"W2317179323","doi":"10.1109/tvt.2016.2537403","title":"Mobile Sensors Deployment Subject to Location Estimation Error","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Hydro-Québec; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Voronoi diagram; Computer science; Software deployment; Wireless sensor network; Global Positioning System; Node (physics); Real-time computing; Exploit; Set (abstract data type); Algorithm; Computer network; Engineering; Mathematics; Telecommunications","score_opus":0.008143694696633444,"score_gpt":0.22851980674419517,"score_spread":0.22037611204756172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317179323","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":[0.07680413,0.0008937976,0.9206731,0.0001501932,0.00004300736,0.0000331699,0.00006379079,0.00014299712,0.0011958936],"genre_scores_gemma":[0.94484013,0.00048201843,0.053695217,0.00002401864,0.00002547364,0.000047453384,0.000077663215,0.000024326459,0.00078370934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982298,0.00072077144,0.000106828775,0.00022826158,0.0005120134,0.00020222334],"domain_scores_gemma":[0.99015325,0.0072673056,0.0008920016,0.0006631547,0.00086708425,0.000157256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018037544,0.0005852523,0.0009354192,0.0007942674,0.00048812694,0.00097609556,0.0009922633,0.00083445036,0.00045732313],"category_scores_gemma":[0.01931495,0.0004380506,0.00044674228,0.0010231863,0.00080994994,0.0013298912,0.001553653,0.00041996283,0.00013709869],"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":[0.0001378611,0.000013755871,0.0024056225,0.00009134615,0.00003183346,0.0002038075,0.00010630226,0.95254225,0.0025309345,0.021170586,0.00036433828,0.0204014],"study_design_scores_gemma":[0.00001041794,0.000028953878,0.00029738594,0.000007661244,0.0000062874706,0.00012559086,0.000020695483,0.9920135,0.0013607572,0.0055089206,0.0006135472,0.0000062591603],"about_ca_topic_score_codex":0.002973101,"about_ca_topic_score_gemma":0.0015834061,"teacher_disagreement_score":0.002973101,"about_ca_system_score_codex":0.00087955344,"about_ca_system_score_gemma":0.0005850532,"threshold_uncertainty_score":0.009539306},"labels":[],"label_agreement":null},{"id":"W2321241434","doi":"10.1109/tvt.2016.2547910","title":"Sharing It My Way: Efficient M2M Access in LTE/LTE-A Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":42,"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 network; Computer science; Random access; Preamble; Handshake; Telecommunications link; Cellular network; LTE Advanced; Channel (broadcasting); Handover; Asynchronous communication","score_opus":0.013788143029151314,"score_gpt":0.2502106858598678,"score_spread":0.23642254283071645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321241434","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":[0.34399202,0.0033893296,0.6349548,0.00052311376,0.00011040083,0.00017999778,0.000099033394,0.0007096958,0.016041555],"genre_scores_gemma":[0.9752449,0.00024676646,0.023674684,0.000041901814,0.000025659001,0.000025680054,0.000018998013,0.000009953654,0.0007115388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917907,0.00029559975,0.00002183114,0.000056114102,0.00022691496,0.00022053464],"domain_scores_gemma":[0.9994135,0.00023952898,0.000074995645,0.0001042349,0.00012152696,0.000046261277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007134383,0.00045034496,0.00051114947,0.00050866074,0.0010645823,0.0009363028,0.0007614796,0.0007462864,0.00083349436],"category_scores_gemma":[0.001843956,0.00019777306,0.00021115407,0.0006497914,0.0008418274,0.001134686,0.0010555966,0.00034408833,0.00023789055],"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":[0.0013589986,0.00026027148,0.006539962,0.00033844187,0.00014271885,0.0013193295,0.0006471689,0.54439694,0.08710001,0.065391295,0.0071030096,0.2854018],"study_design_scores_gemma":[0.000047541387,0.00032054636,0.0014489339,0.000019102028,0.000042408814,0.0004747291,0.00020981666,0.96922314,0.012723258,0.010824055,0.004628462,0.000037920723],"about_ca_topic_score_codex":0.004745724,"about_ca_topic_score_gemma":0.0075716423,"teacher_disagreement_score":0.004745724,"about_ca_system_score_codex":0.00081826025,"about_ca_system_score_gemma":0.00087340426,"threshold_uncertainty_score":0.00943619},"labels":[],"label_agreement":null},{"id":"W2327502233","doi":"10.1109/tvt.2015.2504244","title":"Performance Analysis of Opportunistic Scheduling in Dual-Hop Multiuser Underlay Cognitive Network in the Presence of Cochannel Interference","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Engineering and Physical Sciences Research Council; Leverhulme Trust","keywords":"Cumulative distribution function; Underlay; Rayleigh fading; Computer science; Scheduling (production processes); Signal-to-interference-plus-noise ratio; Monte Carlo method; Mathematical optimization; Relay; Topology (electrical circuits); Fading; Probability density function; Signal-to-noise ratio (imaging); Mathematics; Algorithm; Power (physics); Telecommunications; Statistics; Decoding methods","score_opus":0.06865162658024364,"score_gpt":0.2982314645664722,"score_spread":0.22957983798622855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327502233","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":[0.57807803,0.0027329498,0.40309575,0.00040462535,0.00010778217,0.000059699487,0.000100855985,0.00030508343,0.015115202],"genre_scores_gemma":[0.9963084,0.0002281218,0.0031100637,0.000021902564,0.000013146521,0.000009749162,0.000011043876,0.000007167606,0.000290304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989108,0.00029724342,0.000030482895,0.00011790399,0.00028501617,0.00035857921],"domain_scores_gemma":[0.9958205,0.002659112,0.00044561693,0.00021375489,0.0007079491,0.00015292803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017720787,0.0009099646,0.0008217131,0.0008066553,0.00083960715,0.0014451039,0.0009862699,0.00070142903,0.0006805952],"category_scores_gemma":[0.006353493,0.00030934153,0.00038557552,0.00090425287,0.0010508758,0.0009359091,0.0012762388,0.00048519953,0.00008589747],"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":[0.00022451059,0.000048670878,0.0024366581,0.00008735538,0.000063099214,0.00046079233,0.00013343079,0.9677156,0.005174046,0.012244789,0.00032318148,0.011087846],"study_design_scores_gemma":[0.0000031511588,0.000046685323,0.0003720345,0.000004194929,0.000014436147,0.0000855127,0.00004133847,0.997253,0.000630502,0.001458486,0.00008119315,0.000009529488],"about_ca_topic_score_codex":0.0096213855,"about_ca_topic_score_gemma":0.0069933105,"teacher_disagreement_score":0.0096213855,"about_ca_system_score_codex":0.0016707361,"about_ca_system_score_gemma":0.00179399,"threshold_uncertainty_score":0.019130766},"labels":[],"label_agreement":null},{"id":"W2328799675","doi":"10.1109/tvt.2015.2422784","title":"Network Configuration for Two-Tier Macro–Femto Systems With Hybrid Access","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"University of British Columbia","funders":"","keywords":"Femtocell; Computer science; Base station; Computer network; Telecommunications link; Macro; Distributed computing; Process (computing)","score_opus":0.017179061669909224,"score_gpt":0.24561422018194246,"score_spread":0.22843515851203322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328799675","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":[0.3592234,0.0006376705,0.6316113,0.000357699,0.00007582168,0.00015806423,0.00009419716,0.00018303013,0.0076587847],"genre_scores_gemma":[0.99077386,0.00006580397,0.008127766,0.00002657507,0.000014856765,0.000025277124,0.00001844013,0.000006657854,0.0009406413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891055,0.00043057985,0.000026519376,0.00020482202,0.00016163445,0.00026586518],"domain_scores_gemma":[0.9988256,0.0005744243,0.00023784023,0.00010661419,0.00013081107,0.00012470978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090777886,0.00075749174,0.0006831888,0.00039941218,0.00078027265,0.0015663763,0.0010200483,0.0009389209,0.0018059923],"category_scores_gemma":[0.0019826225,0.00036953785,0.0004417184,0.00046027277,0.0011273528,0.0015927418,0.0011816032,0.00066144805,0.00013298613],"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":[0.00012808807,0.000090751404,0.0023990471,0.00003231123,0.00005496084,0.00036429468,0.000064031476,0.9699784,0.0038723147,0.012692036,0.00031472702,0.01000908],"study_design_scores_gemma":[0.000009184418,0.000071190116,0.0006305357,0.0000027157837,0.000012689843,0.000057847526,0.00004674358,0.9952232,0.0005095857,0.00324356,0.0001830682,0.000009708099],"about_ca_topic_score_codex":0.004160197,"about_ca_topic_score_gemma":0.004005491,"teacher_disagreement_score":0.004160197,"about_ca_system_score_codex":0.0015884337,"about_ca_system_score_gemma":0.0005571353,"threshold_uncertainty_score":0.011524975},"labels":[],"label_agreement":null},{"id":"W2329376265","doi":"10.1109/tvt.2016.2550479","title":"Distributed Linear Constellation Precoding with BICM/BICM-ID in Two-Way Relaying Communications","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","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":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Constellation; Computer science; Zero-forcing precoding; Computer network; Electronic engineering; Signal-to-noise ratio (imaging); Telecommunications; MIMO; Engineering; Channel (broadcasting); Physics","score_opus":0.02868601629013216,"score_gpt":0.2785890351851333,"score_spread":0.24990301889500113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329376265","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":[0.041485213,0.00133433,0.9530568,0.00019256843,0.000041002106,0.000042854186,0.000025210942,0.00010608455,0.003715883],"genre_scores_gemma":[0.86943203,0.0012323208,0.12769222,0.00008497792,0.00006827015,0.00007436481,0.000037908623,0.0000157752,0.0013620463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868494,0.0006272026,0.000045972694,0.00012964109,0.00040465716,0.0001075991],"domain_scores_gemma":[0.99800867,0.0011689413,0.00025076367,0.00025576734,0.00028289948,0.000032929787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010764586,0.0008806373,0.00069549255,0.00052863103,0.00039682043,0.00090178393,0.00078506797,0.00094450207,0.00042804377],"category_scores_gemma":[0.0038498244,0.00028501236,0.00030940847,0.0008959173,0.00097010913,0.0009644966,0.00090775936,0.0006382783,0.0002273683],"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":[0.00028145598,0.00008240581,0.0014820892,0.00042572652,0.00008621645,0.0006438439,0.00054095977,0.7275188,0.03632298,0.11410536,0.0009319257,0.11757837],"study_design_scores_gemma":[0.000019810945,0.00021781704,0.00022501782,0.000028176344,0.00002469689,0.000339306,0.00005100773,0.9750073,0.009623228,0.013207695,0.0012293292,0.000026723908],"about_ca_topic_score_codex":0.00089570525,"about_ca_topic_score_gemma":0.0012121635,"teacher_disagreement_score":0.0010764586,"about_ca_system_score_codex":0.0007308707,"about_ca_system_score_gemma":0.00053497404,"threshold_uncertainty_score":0.005692959},"labels":[],"label_agreement":null},{"id":"W2331183460","doi":"10.1109/tvt.2016.2533160","title":"AFLAS: An Adaptive Frame Length Aggregation Scheme in Vehicular Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":41,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer network; Computer science; Frame (networking); Wireless ad hoc network; Throughput; Network packet; Transmission (telecommunications); Vehicular ad hoc network; Wireless; Network topology; Data aggregator; Scheme (mathematics); Data link layer; Data transmission; Physical layer; Wireless sensor network; Telecommunications","score_opus":0.013724170624173235,"score_gpt":0.24133132194088697,"score_spread":0.22760715131671372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331183460","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":[0.08428489,0.001354231,0.9094371,0.00021670111,0.00024451397,0.00019323526,0.00010745698,0.002451329,0.0017105138],"genre_scores_gemma":[0.8575581,0.00044235823,0.13998818,0.00011464093,0.00012721377,0.00015889201,0.00018516787,0.000049278857,0.0013762377],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938345,0.00016260034,0.00006248782,0.00007866513,0.0002152051,0.00009751644],"domain_scores_gemma":[0.99885345,0.00028995486,0.00022706829,0.00018802159,0.00036312756,0.00007837128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001100438,0.0007613059,0.000613298,0.001279701,0.00097629504,0.0006587778,0.0015555789,0.0005951251,0.00053117087],"category_scores_gemma":[0.0025671597,0.00019227313,0.00035807412,0.0007588562,0.000479836,0.0013685216,0.0007819363,0.00066247483,0.00019534436],"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":[0.0012614507,0.00040187142,0.0045658825,0.00024520195,0.00017429641,0.00048021672,0.00084827666,0.21277583,0.12951925,0.02291648,0.0074922787,0.6193189],"study_design_scores_gemma":[0.000090386406,0.0009444739,0.0018350069,0.00003166812,0.000087641274,0.0004437267,0.000119929726,0.949193,0.030735025,0.0053424826,0.011054889,0.00012174738],"about_ca_topic_score_codex":0.004668684,"about_ca_topic_score_gemma":0.0040260046,"teacher_disagreement_score":0.004668684,"about_ca_system_score_codex":0.0009265605,"about_ca_system_score_gemma":0.00070525135,"threshold_uncertainty_score":0.009283006},"labels":[],"label_agreement":null},{"id":"W2331788720","doi":"10.1109/tvt.2015.2419738","title":"Measurement and Characterization of Low-Altitude Air-to-Ground MIMO Channels","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Defence Research and Development Canada","funders":"Air Force Research Laboratory; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Decorrelation; Multipath propagation; Antenna (radio); Remote sensing; Antenna diversity; Altitude (triangle); Range (aeronautics); Antenna height considerations; Channel (broadcasting); Computer science; Electronic engineering; Acoustics; Engineering; Telecommunications; Physics; Aerospace engineering; Geology","score_opus":0.013731021553506046,"score_gpt":0.20492435941316636,"score_spread":0.1911933378596603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331788720","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":[0.98080367,0.00004891208,0.016986715,0.000025065921,0.000009800204,0.000021645155,0.0003012175,0.00011243294,0.0016905916],"genre_scores_gemma":[0.99670726,0.000024616833,0.0028810725,0.000008107016,0.000003537804,0.000007750176,0.00010861808,0.0000042594656,0.00025484498],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980277,0.000027519203,0.00000455302,0.00003196097,0.000079752885,0.000053523127],"domain_scores_gemma":[0.9995926,0.00015988102,0.00006105062,0.000038961247,0.0001028757,0.000044777502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015402536,0.00023666774,0.00015649006,0.0003446356,0.00016644411,0.00021850692,0.00017248043,0.0002338556,0.00056669745],"category_scores_gemma":[0.00043272204,0.0000770567,0.00007002171,0.00026740503,0.00017688845,0.00017347664,0.00021471099,0.0002383678,0.00015850604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041611807,0.0001592709,0.05277566,0.00012394889,0.000031845495,0.00038852994,0.00033928963,0.022705652,0.8932569,0.0007658116,0.00042032727,0.028616603],"study_design_scores_gemma":[0.00008879125,0.0014546502,0.332128,0.000028047845,0.00006432812,0.0006828399,0.000524176,0.19065268,0.4708887,0.0006081188,0.0028034025,0.00007624057],"about_ca_topic_score_codex":0.0010935434,"about_ca_topic_score_gemma":0.002450453,"teacher_disagreement_score":0.0010935434,"about_ca_system_score_codex":0.00011330502,"about_ca_system_score_gemma":0.00016089492,"threshold_uncertainty_score":0.0021743774},"labels":[],"label_agreement":null},{"id":"W2334664297","doi":"10.1109/tvt.2015.2417568","title":"Closed-Form Average SNR and Ergodic Capacity Approximations for Best Relay Selection","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"University of Alberta","funders":"","keywords":"Ergodic theory; Relay; Cumulative distribution function; Signal-to-noise ratio (imaging); Probability density function; Mathematics; Expression (computer science); Selection (genetic algorithm); Topology (electrical circuits); Capacity planning; Applied mathematics; Function (biology); Power (physics); Statistical physics; Mathematical optimization; Computer science; Statistics; Mathematical analysis; Physics; Combinatorics","score_opus":0.047077325275243734,"score_gpt":0.2665974517169061,"score_spread":0.21952012644166236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334664297","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":[0.015234093,0.0020023014,0.9713245,0.00028019276,0.00006006677,0.000038390266,0.0001469009,0.00032662612,0.010586816],"genre_scores_gemma":[0.85464823,0.005428838,0.1323699,0.00037636358,0.000217762,0.00030423646,0.0004055511,0.00034222635,0.005906871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981494,0.0006530444,0.00006654137,0.0002190838,0.00062184746,0.00029016496],"domain_scores_gemma":[0.98917025,0.008330649,0.0005335631,0.00060580723,0.0012418022,0.000117846335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003699812,0.0016197214,0.0014012341,0.00149273,0.0006276889,0.0020785213,0.001759462,0.0011614553,0.0031780407],"category_scores_gemma":[0.02193517,0.0005802535,0.00093668344,0.0017123716,0.0023898543,0.0034846377,0.0015088258,0.0018647317,0.0010968022],"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":[0.000040226507,0.000023596129,0.00034760011,0.00014090465,0.00002900929,0.00017617801,0.00013109055,0.91058916,0.0015320741,0.07440596,0.0015697373,0.011014571],"study_design_scores_gemma":[0.00000296639,0.000012046325,0.00011831125,0.000031201747,0.000009128971,0.00010894386,0.00003799435,0.97670263,0.000527144,0.021821806,0.0006159571,0.0000118310845],"about_ca_topic_score_codex":0.0034373656,"about_ca_topic_score_gemma":0.0027103685,"teacher_disagreement_score":0.003699812,"about_ca_system_score_codex":0.0024601629,"about_ca_system_score_gemma":0.001355434,"threshold_uncertainty_score":0.019566715},"labels":[],"label_agreement":null},{"id":"W2339010797","doi":"10.1109/tvt.2016.2555293","title":"QoS-Aware Energy-Efficient Downlink Predictive Scheduler for OFDMA-Based Cellular Devices","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems 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":false,"ca_institutions":"Western University","funders":"","keywords":"Orthogonal frequency-division multiple access; Computer science; Quality of service; Scheduling (production processes); Telecommunications link; User equipment; Frequency-division multiple access; Efficient energy use; Real-time computing; Computer network; Mathematical optimization; Orthogonal frequency-division multiplexing; Engineering; Base station; Mathematics","score_opus":0.006493218068541167,"score_gpt":0.20199144380071807,"score_spread":0.1954982257321769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339010797","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":[0.1057626,0.00061305636,0.8885369,0.00017848259,0.00007171071,0.000045905927,0.00006753574,0.00039217126,0.0043316022],"genre_scores_gemma":[0.9584273,0.00015841036,0.040455952,0.000035550416,0.000021013591,0.000024992385,0.000038865954,0.000018360832,0.0008194981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978954,0.000043356715,0.000007944252,0.00002542248,0.0000878133,0.000045831086],"domain_scores_gemma":[0.9996773,0.0001298266,0.000048526632,0.00003445513,0.000083626175,0.00002632707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034640648,0.00039754837,0.0004221588,0.00018695058,0.00035658732,0.0005904715,0.00076764595,0.0002751836,0.0006628209],"category_scores_gemma":[0.00084285194,0.00018243147,0.00018194334,0.00037883234,0.0002842666,0.00039583474,0.00037126863,0.00048328878,0.00013635894],"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":[0.00007163806,0.000045671917,0.0005910681,0.000021823696,0.000011795095,0.000038354345,0.000024600608,0.96278566,0.0068598725,0.0033853403,0.0005382933,0.02562588],"study_design_scores_gemma":[0.000002840968,0.000013753537,0.00005776369,6.811485e-7,0.0000023603784,0.0000051684633,0.0000036813974,0.99878234,0.000729503,0.00026185706,0.00013851174,0.0000015360491],"about_ca_topic_score_codex":0.005312905,"about_ca_topic_score_gemma":0.0068819914,"teacher_disagreement_score":0.005312905,"about_ca_system_score_codex":0.0006972512,"about_ca_system_score_gemma":0.0012908366,"threshold_uncertainty_score":0.01056397},"labels":[],"label_agreement":null},{"id":"W2339860134","doi":"10.1109/tvt.2015.2425934","title":"Energy Efficiency–Spectral Efficiency Tradeoff: A Multiobjective Optimization Approach","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Mathematical optimization; Orthogonal frequency-division multiplexing; Channel (broadcasting); Resource allocation; Multi-objective optimization; Efficient energy use; Computer science; Optimization problem; Spectral efficiency; Signal-to-noise ratio (imaging); Function (biology); Mathematics; Engineering; Telecommunications","score_opus":0.009531259335187444,"score_gpt":0.2069886306430535,"score_spread":0.19745737130786606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339860134","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":[0.009779865,0.0010676556,0.9823015,0.00061415706,0.00005287578,0.000119442295,0.000052534688,0.0000496125,0.0059623835],"genre_scores_gemma":[0.54116136,0.002782355,0.44474438,0.000623757,0.00020440205,0.00082092325,0.00013140196,0.00014213957,0.009389397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790835,0.001219062,0.00006876999,0.0002454073,0.0003998517,0.0001586277],"domain_scores_gemma":[0.99799454,0.0014864195,0.00017037861,0.00007693927,0.00020206427,0.000069707385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038965864,0.0023744667,0.0018590301,0.001538648,0.0005559002,0.002403754,0.0018422437,0.00249576,0.0025258728],"category_scores_gemma":[0.0043909457,0.00088221626,0.0011715847,0.0015935176,0.0012025445,0.0021668165,0.001589847,0.0019532235,0.0003042859],"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":[0.000024795949,0.00008057129,0.00020390924,0.00013471615,0.00009500818,0.000074106065,0.000034288805,0.9646112,0.0010136801,0.021232517,0.00048067037,0.012014559],"study_design_scores_gemma":[0.000011888152,0.000058366393,0.000118784796,0.000030925905,0.000026429205,0.00003295466,0.000026825439,0.9848697,0.00040719175,0.013320589,0.001083835,0.000012569474],"about_ca_topic_score_codex":0.0015152466,"about_ca_topic_score_gemma":0.0011934128,"teacher_disagreement_score":0.0038965864,"about_ca_system_score_codex":0.0017775919,"about_ca_system_score_gemma":0.0014076688,"threshold_uncertainty_score":0.020607352},"labels":[],"label_agreement":null},{"id":"W2340160310","doi":"10.1109/tvt.2016.2555946","title":"Secure Communication in OFDMA-Based Cognitive Radio Networks: An Incentivized Secondary Network Coexistence Approach","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":38,"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":"Eavesdropping; Computer network; Cognitive radio; Base station; Computer science; Orthogonal frequency-division multiple access; Transmission (telecommunications); Frame (networking); Secrecy; Relay; Orthogonal frequency-division multiplexing; Wireless; Telecommunications; Computer security","score_opus":0.011540236763460924,"score_gpt":0.23068899195555487,"score_spread":0.21914875519209395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340160310","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":[0.045959607,0.00071350625,0.93931997,0.0010268348,0.0001309825,0.00008817952,0.000023462735,0.0001030404,0.012634415],"genre_scores_gemma":[0.96778274,0.00037027037,0.028946467,0.00013229104,0.0001096931,0.00007530028,0.000010236428,0.000014490299,0.0025585864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841917,0.00058161165,0.000048453545,0.00024127743,0.00046183952,0.00024774036],"domain_scores_gemma":[0.99818265,0.00085532735,0.00025056067,0.00022026598,0.00029852107,0.00019262686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016029113,0.0006975683,0.00067164673,0.0005835726,0.0010914656,0.0016831782,0.0017859567,0.0013596999,0.0011523399],"category_scores_gemma":[0.002243188,0.0002927869,0.0006089003,0.00048691448,0.0019047825,0.0019774428,0.002448618,0.0014594232,0.0002388772],"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":[0.00023914337,0.0003373799,0.0012446723,0.0002399355,0.00013322875,0.0011374953,0.0007744548,0.2714463,0.021745943,0.6545176,0.0021694102,0.046014432],"study_design_scores_gemma":[0.000030746556,0.00013176752,0.00018712267,0.000021744265,0.00004144751,0.0002882267,0.000087031076,0.92183185,0.0018034377,0.072114654,0.0034301162,0.000031837815],"about_ca_topic_score_codex":0.0013588779,"about_ca_topic_score_gemma":0.0015006806,"teacher_disagreement_score":0.0017859567,"about_ca_system_score_codex":0.0011649705,"about_ca_system_score_gemma":0.0015192349,"threshold_uncertainty_score":0.008477151},"labels":[],"label_agreement":null},{"id":"W2340413290","doi":"10.1109/tvt.2015.2436060","title":"Bayesian Information Criterion for Source Enumeration in Large-Scale Adaptive Antenna Array","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Subspace topology; False alarm; Algorithm; Bayesian information criterion; Mathematics; Bayesian probability; Antenna array; A priori and a posteriori; Maximum a posteriori estimation; Detector; Detection theory; Enumeration; Expression (computer science); Computer science; Antenna (radio); Statistics; Discrete mathematics; Maximum likelihood; Artificial intelligence","score_opus":0.013331434477261086,"score_gpt":0.2511511021309986,"score_spread":0.23781966765373752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340413290","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024154114,0.00014789219,0.9968645,0.000047971545,0.00000780058,0.000011461528,0.000022131158,0.00006536031,0.00041748915],"genre_scores_gemma":[0.4116476,0.0012047702,0.5838618,0.00024868076,0.0001256669,0.00036849166,0.000520329,0.00011156578,0.0019110306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973283,0.0010511635,0.00012656582,0.00022145818,0.0011368677,0.0001356714],"domain_scores_gemma":[0.99099934,0.0063051367,0.00062137475,0.00057190144,0.0013399634,0.00016222148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037639595,0.00092490844,0.0011092648,0.0013050447,0.0005612011,0.0012263574,0.0013098702,0.0010276855,0.0009535663],"category_scores_gemma":[0.019281266,0.000563623,0.0004844116,0.0014173039,0.0011885308,0.002059251,0.0016406267,0.0013987202,0.0005274563],"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":[0.0002895749,0.00006603252,0.0013996019,0.00031771298,0.00009882252,0.00018020731,0.00019318494,0.6565821,0.010068532,0.18216233,0.002889373,0.14575255],"study_design_scores_gemma":[0.000009402191,0.000028130857,0.0002819017,0.000018751884,0.000008248684,0.000053365377,0.000012116851,0.9677702,0.0016006323,0.029630713,0.00056464085,0.000021802263],"about_ca_topic_score_codex":0.0013096251,"about_ca_topic_score_gemma":0.001573614,"teacher_disagreement_score":0.0037639595,"about_ca_system_score_codex":0.00085217075,"about_ca_system_score_gemma":0.0016623568,"threshold_uncertainty_score":0.019905984},"labels":[],"label_agreement":null},{"id":"W2340749190","doi":"10.1109/tvt.2015.2506603","title":"Adaptive Service Rate and Vacation Length for Energy-Efficient HeNB Based on Queueing Analysis","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Femtocell; Quality of service; Queueing theory; Computer network; Computer science; Energy (signal processing); Service (business); 3rd Generation Partnership Project 2; Base station; Real-time computing; Mathematical optimization; Telecommunications link; Mathematics; Statistics","score_opus":0.012922157519330693,"score_gpt":0.21756846547390019,"score_spread":0.2046463079545695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340749190","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":[0.04855651,0.0008360998,0.9480924,0.00021598027,0.000052669224,0.000038002338,0.000035268,0.00016798373,0.0020051254],"genre_scores_gemma":[0.9640558,0.000685163,0.0331815,0.00009071816,0.000052387608,0.0000481043,0.000034712986,0.00006384366,0.0017877596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991636,0.00023862447,0.000023362227,0.00013560154,0.00020680059,0.00023207087],"domain_scores_gemma":[0.99882716,0.00068839116,0.00013530855,0.00005413526,0.00022545735,0.000069614405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014290226,0.0008157394,0.0010159686,0.000618806,0.0007669422,0.0010030693,0.0012352925,0.0005936547,0.0014114226],"category_scores_gemma":[0.0035607286,0.0004207196,0.00058000407,0.0007563892,0.00090177706,0.0012879941,0.00075995765,0.0009481754,0.00020122161],"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":[0.00006348898,0.000051282037,0.00073360186,0.000054956345,0.00002431024,0.0000849348,0.00010127452,0.95471466,0.00555382,0.027016973,0.0007842134,0.010816497],"study_design_scores_gemma":[0.0000012737189,0.000005601585,0.000041348136,0.0000013171573,0.000002877381,0.000007370662,0.0000072748285,0.99881697,0.00016001922,0.0008887766,0.0000645178,0.0000027258607],"about_ca_topic_score_codex":0.014463151,"about_ca_topic_score_gemma":0.009414742,"teacher_disagreement_score":0.014463151,"about_ca_system_score_codex":0.0024529241,"about_ca_system_score_gemma":0.0017016894,"threshold_uncertainty_score":0.02875793},"labels":[],"label_agreement":null},{"id":"W2343145829","doi":"10.1109/tvt.2015.2506682","title":"Two-Way Relay Strategies With a Multiaccess Uplink and Queue Stability Constraints","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Relay; Computer science; Computer network; Network packet; Linear network coding; Relay channel; Scheduling (production processes); Queue; Markov chain; Transmission (telecommunications); Node (physics); Mathematical optimization; Mathematics; Engineering; Telecommunications","score_opus":0.03902522238800225,"score_gpt":0.28177308489625263,"score_spread":0.2427478625082504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343145829","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":[0.1796873,0.0004215033,0.81321365,0.00032488143,0.00003604334,0.00012222365,0.00012146719,0.00016019851,0.00591265],"genre_scores_gemma":[0.96325916,0.00019920302,0.034008294,0.00004855993,0.000020456811,0.00008813955,0.000030979016,0.000024973446,0.0023202347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916506,0.0003252659,0.00004002978,0.00013380048,0.00016537633,0.00017058397],"domain_scores_gemma":[0.99751055,0.0013938072,0.00038977794,0.00021507792,0.00038261423,0.0001081258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014426339,0.0009416865,0.0009327679,0.0004984579,0.00052468135,0.0012814129,0.0013524224,0.00096910953,0.0022978408],"category_scores_gemma":[0.0041001067,0.0003629717,0.0006944322,0.0007133112,0.000986121,0.0018365888,0.00091230765,0.00074408785,0.00034081755],"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":[0.00017005164,0.00007780009,0.00062190916,0.00006643833,0.000058806178,0.00025568416,0.00012878155,0.9322223,0.0069744913,0.05217396,0.00031811974,0.0069315895],"study_design_scores_gemma":[0.00003150647,0.00009719784,0.00013387931,0.0000039911997,0.00002136801,0.000065151566,0.000038705162,0.9920219,0.0012671632,0.006086071,0.00021982218,0.000013210101],"about_ca_topic_score_codex":0.0037092592,"about_ca_topic_score_gemma":0.0028489288,"teacher_disagreement_score":0.0037092592,"about_ca_system_score_codex":0.0014505541,"about_ca_system_score_gemma":0.001278699,"threshold_uncertainty_score":0.010524571},"labels":[],"label_agreement":null},{"id":"W2343491352","doi":"10.1109/tvt.2016.2521878","title":"Linear Precoded THP-FDE for Single-Carrier Broadband MIMO Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Precoding; SC-FDE; Computer science; Algorithm; Bit error rate; Intersymbol interference; Mean squared error; Equalization (audio); Minimum mean square error; Electronic engineering; Control theory (sociology); Mathematics; Telecommunications; Decoding methods; Engineering; Channel (broadcasting); Estimator; Statistics","score_opus":0.017786782773237298,"score_gpt":0.23944592920002775,"score_spread":0.22165914642679044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343491352","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":[0.01899758,0.00047206093,0.9772041,0.00016449831,0.000055321543,0.000025522511,0.00005001008,0.00024374513,0.0027871712],"genre_scores_gemma":[0.48487195,0.0011117645,0.50948447,0.00019687982,0.00009755078,0.00006644257,0.00011864646,0.00003169887,0.004020579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978954,0.000058346675,0.000010144704,0.000027855174,0.00008688342,0.00002723086],"domain_scores_gemma":[0.99972445,0.00011522172,0.000038553095,0.000039561266,0.000074325086,0.000007870755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003174519,0.0004593856,0.00031755934,0.00020149347,0.000303252,0.00044326895,0.00035766707,0.00050390494,0.0015873044],"category_scores_gemma":[0.0010142004,0.00020080263,0.00024044266,0.0004370304,0.00035141062,0.0004816529,0.00037000066,0.0005021,0.0004576997],"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":[0.00031033222,0.00009271708,0.001326075,0.00037317406,0.00007907915,0.0005363439,0.00016208882,0.44951168,0.19038875,0.035731953,0.0039931005,0.31749472],"study_design_scores_gemma":[0.000023641762,0.0002556595,0.0005045046,0.00003624584,0.00002855641,0.00035098984,0.00003280541,0.942978,0.044832163,0.005627431,0.005303204,0.000026734271],"about_ca_topic_score_codex":0.00088779646,"about_ca_topic_score_gemma":0.0024265817,"teacher_disagreement_score":0.0015873044,"about_ca_system_score_codex":0.0003657706,"about_ca_system_score_gemma":0.00056449743,"threshold_uncertainty_score":0.0053100586},"labels":[],"label_agreement":null},{"id":"W2343651235","doi":"10.1109/tvt.2016.2518988","title":"Underlay Interference Analysis of Power Control and Receiver Association Schemes","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transmitter; Underlay; Rayleigh fading; Transmitter power output; Power control; Path loss; Cognitive radio; Fading; Node (physics); Interference (communication); Computer science; Electronic engineering; Topology (electrical circuits); Mathematics; Telecommunications; Engineering; Power (physics); Electrical engineering; Signal-to-noise ratio (imaging); Wireless; Physics; Channel (broadcasting)","score_opus":0.006530382434360853,"score_gpt":0.21641031808324895,"score_spread":0.2098799356488881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343651235","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":[0.19364841,0.0019999342,0.7901568,0.00014981916,0.00003978621,0.000041213905,0.00008851335,0.00014475053,0.013730748],"genre_scores_gemma":[0.9833239,0.0006259509,0.013918919,0.000054621225,0.000059948845,0.000034230477,0.000039816194,0.000027320813,0.0019153587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834883,0.00042482108,0.00005330719,0.00023844215,0.00059859635,0.00033600602],"domain_scores_gemma":[0.99659675,0.0020105026,0.00049156335,0.00035190707,0.00047518537,0.00007404325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016005718,0.00087354955,0.00090563117,0.00059876323,0.00046928777,0.0012111565,0.0011792431,0.000683674,0.0017556754],"category_scores_gemma":[0.006006274,0.0003612622,0.0006973057,0.00081461726,0.0011115998,0.001966379,0.0012705008,0.00092836854,0.00025475246],"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":[0.000118703385,0.000053342505,0.0013213872,0.00010321156,0.00008987021,0.00022734117,0.00019878885,0.90581316,0.0067773066,0.06449792,0.00038352836,0.020415468],"study_design_scores_gemma":[0.000005821276,0.000052340598,0.00062810275,0.000008580222,0.000025078589,0.000115921874,0.000037741716,0.988514,0.0013191382,0.008904183,0.00037977286,0.000009299606],"about_ca_topic_score_codex":0.0017133509,"about_ca_topic_score_gemma":0.0009794137,"teacher_disagreement_score":0.0017556754,"about_ca_system_score_codex":0.0012221675,"about_ca_system_score_gemma":0.00073589076,"threshold_uncertainty_score":0.008867443},"labels":[],"label_agreement":null},{"id":"W2344432770","doi":"10.1109/tvt.2015.2497210","title":"An Analysis Framework for Buffer-Aided Relaying Under Time-Correlated Fading Channels","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":10,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fading; Fading distribution; Channel state information; Throughput; Computer science; Independent and identically distributed random variables; Channel (broadcasting); Computer network; Statistics; Mathematics; Telecommunications; Wireless; Rayleigh fading; Random variable","score_opus":0.041179210753981045,"score_gpt":0.30176373386438804,"score_spread":0.260584523110407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344432770","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":[0.003915226,0.00029431857,0.99447566,0.00007488711,0.000025930496,0.000026799506,0.000034079563,0.000082395396,0.0010707541],"genre_scores_gemma":[0.8304218,0.0030082837,0.16168423,0.00022595686,0.00020439214,0.00032119293,0.00017065457,0.00012775844,0.003835706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989158,0.00031702087,0.000049129794,0.00018928591,0.00033083782,0.00019798307],"domain_scores_gemma":[0.99829346,0.00087548426,0.00021560604,0.00013559357,0.00042098312,0.000058906662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022232335,0.0017045764,0.0011348828,0.0011142609,0.0006247143,0.0016165029,0.0017750334,0.00085765636,0.0018866641],"category_scores_gemma":[0.0040296596,0.0005078355,0.0010383634,0.00086363085,0.0011267269,0.0022303753,0.0010961943,0.0013711733,0.00038367254],"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":[0.00003089281,0.000027971546,0.00040672615,0.00009040009,0.000044540917,0.00020942179,0.00014270352,0.8496809,0.005484884,0.13333806,0.0008673552,0.009676071],"study_design_scores_gemma":[0.0000034222694,0.0000225531,0.00006908156,0.000009208161,0.000016394933,0.000042126503,0.00001689262,0.9865665,0.0006191528,0.012031814,0.0005922978,0.000010667024],"about_ca_topic_score_codex":0.0055403593,"about_ca_topic_score_gemma":0.0030107126,"teacher_disagreement_score":0.0055403593,"about_ca_system_score_codex":0.0020041638,"about_ca_system_score_gemma":0.0020702593,"threshold_uncertainty_score":0.014541268},"labels":[],"label_agreement":null},{"id":"W2344901047","doi":"10.1109/tvt.2016.2519893","title":"Outage Performance of Cognitive Hybrid Satellite–Terrestrial Networks With Interference Constraint","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":171,"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","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Interference (communication); Constraint (computer-aided design); Communications satellite; Outage probability; Computer science; Satellite; Diversity gain; Coding (social sciences); Signal-to-noise ratio (imaging); Topology (electrical circuits); Telecommunications; Mathematics; Fading; Engineering; Decoding methods; Electrical engineering; Statistics","score_opus":0.013779537251784196,"score_gpt":0.21403608827054924,"score_spread":0.20025655101876505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344901047","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":[0.9207525,0.0011168247,0.06979293,0.00019901968,0.000040246254,0.000018675666,0.00012114263,0.0001635693,0.0077950605],"genre_scores_gemma":[0.99905604,0.00009435869,0.00063959113,0.000012885285,0.0000066889174,0.000004409807,0.000017339145,0.000002744927,0.0001659031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928135,0.00019735168,0.000025611827,0.00007439055,0.00016137419,0.00025986752],"domain_scores_gemma":[0.99662846,0.0022130837,0.0003622748,0.00014487421,0.00049330824,0.00015808348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012242817,0.0007308972,0.0007268369,0.00062878703,0.00067034987,0.00095303176,0.00081164547,0.0007010928,0.00068113994],"category_scores_gemma":[0.004011901,0.00015421772,0.00026943084,0.0008050531,0.0011789028,0.0006585076,0.0011190877,0.0003750156,0.00010404224],"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":[0.0004146091,0.000048555714,0.0030870072,0.000106165935,0.000059946982,0.00046302876,0.00014578046,0.97499573,0.0056969025,0.0057268566,0.00038504697,0.008870352],"study_design_scores_gemma":[0.000015251358,0.00012746602,0.0011543067,0.000008575592,0.000029232759,0.00018433659,0.00010359505,0.9947318,0.0012460784,0.0022724436,0.00011087682,0.000016041298],"about_ca_topic_score_codex":0.00993579,"about_ca_topic_score_gemma":0.0058104377,"teacher_disagreement_score":0.00993579,"about_ca_system_score_codex":0.0012131099,"about_ca_system_score_gemma":0.0008916287,"threshold_uncertainty_score":0.0197559},"labels":[],"label_agreement":null},{"id":"W2344910467","doi":"10.1109/tvt.2016.2522468","title":"Analyzing Dependent Placements of Small Cells in a Two-Layer Heterogeneous Network With a Rate Coverage Constraint","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upper and lower bounds; Interference (communication); Poisson point process; Telecommunications link; Computer science; Constraint (computer-aided design); Point process; Cellular network; Grid; Residual; Stochastic geometry; Heterogeneous network; Hexagonal crystal system; Mathematical optimization; Topology (electrical circuits); Mathematics; Computer network; Algorithm; Wireless network; Statistics; Telecommunications; Wireless; Combinatorics","score_opus":0.007499709003292688,"score_gpt":0.20986220215014928,"score_spread":0.2023624931468566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344910467","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":[0.5734653,0.00070619304,0.41813087,0.00039825225,0.000048894333,0.00009327381,0.00031963884,0.00017126778,0.0066663353],"genre_scores_gemma":[0.9878663,0.00025966906,0.010281473,0.000044931592,0.000019869332,0.000037195005,0.000097462296,0.00002298331,0.001370058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933606,0.00020886028,0.000019023213,0.00010158556,0.00011290562,0.00022148411],"domain_scores_gemma":[0.9964929,0.0021358582,0.00061869004,0.00016788166,0.00034524337,0.00023946875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010817848,0.0010906804,0.0007328616,0.0006336624,0.0004115314,0.00094673777,0.0011883639,0.0008825387,0.0011589862],"category_scores_gemma":[0.005366586,0.0005715635,0.00059715664,0.00081161456,0.0011634617,0.0010009382,0.0010665216,0.00065105665,0.00015223771],"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":[0.00004193048,0.0000146042585,0.0011228565,0.00001530227,0.00001279897,0.00012029008,0.000013305954,0.9939207,0.0012644521,0.0023679445,0.000121444944,0.0009843961],"study_design_scores_gemma":[0.0000037279683,0.000017577402,0.0003873477,0.0000017183106,0.000005983377,0.000016330263,0.000017141363,0.99855536,0.00030101376,0.0006491659,0.00004081949,0.000003828068],"about_ca_topic_score_codex":0.013277291,"about_ca_topic_score_gemma":0.0057844627,"teacher_disagreement_score":0.013277291,"about_ca_system_score_codex":0.0019191279,"about_ca_system_score_gemma":0.00062514766,"threshold_uncertainty_score":0.02640003},"labels":[],"label_agreement":null},{"id":"W2345092910","doi":"10.1109/tvt.2016.2522644","title":"On the Identification of SM and Alamouti-Coded SC-FDMA Signals: A Statistical-Based Approach","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; False alarm; Algorithm; Block (permutation group theory); SIGNAL (programming language); Channel (broadcasting); Signal-to-noise ratio (imaging); Electronic engineering; Interference (communication); Block code; Identification (biology); Modulation (music); Constant false alarm rate; Noise (video); Telecommunications; Engineering; Mathematics; Artificial intelligence; Decoding methods","score_opus":0.018388469981854873,"score_gpt":0.2355881886285542,"score_spread":0.21719971864669935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345092910","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":[0.017721593,0.00018830098,0.98072755,0.00008449247,0.00001243556,0.000016836128,0.000010597311,0.00007790027,0.0011602199],"genre_scores_gemma":[0.69365525,0.0004886206,0.30285993,0.00011473122,0.000106928404,0.00009781396,0.00007947836,0.00003688277,0.0025604062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991242,0.00034281192,0.00004364425,0.00009818626,0.00032917384,0.00006195957],"domain_scores_gemma":[0.9934437,0.0049999687,0.00045655842,0.00042404368,0.0006140303,0.00006168654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503454,0.00046721668,0.0003890421,0.0011018703,0.0004127702,0.00082928885,0.0005777043,0.0007181594,0.0006168784],"category_scores_gemma":[0.01007617,0.00022206483,0.00027018148,0.00069812627,0.0011490652,0.0010649946,0.00063965644,0.0005931053,0.00029694548],"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":[0.00026084745,0.00007616607,0.0027536561,0.00015640297,0.00004342019,0.00023413597,0.00020377716,0.5923534,0.02189397,0.1426687,0.0008435598,0.23851195],"study_design_scores_gemma":[0.0000031355091,0.000029354218,0.00026574303,0.000007465261,0.0000035290443,0.00010205909,0.000012794895,0.9880783,0.003687878,0.0075193006,0.00028223175,0.0000081441995],"about_ca_topic_score_codex":0.0010583734,"about_ca_topic_score_gemma":0.00092016015,"teacher_disagreement_score":0.001503454,"about_ca_system_score_codex":0.00056102616,"about_ca_system_score_gemma":0.0009285348,"threshold_uncertainty_score":0.00795114},"labels":[],"label_agreement":null},{"id":"W2345181421","doi":"10.1109/tvt.2016.2524693","title":"Regenerative Skyhook Control for an Electromechanical Suspension System Using a Switch-Mode Rectifier","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Skyhook; Sprung mass; Rectifier (neural networks); Engineering; Control theory (sociology); Controller (irrigation); Active suspension; Suspension (topology); Power (physics); Mechatronics; Acceleration; Vibration; Vibration control; Actuator; Control engineering; Automotive engineering; Damper; Computer science; Electrical engineering; Control (management); Artificial neural network; Physics","score_opus":0.014385675680482903,"score_gpt":0.23883424379110346,"score_spread":0.22444856811062056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345181421","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":[0.18846641,0.0007525992,0.79660475,0.0001676478,0.00013415609,0.00010838958,0.000042799198,0.0013754469,0.01234783],"genre_scores_gemma":[0.98077226,0.00016068507,0.016034953,0.00003219478,0.000020680882,0.000028192168,0.000021025478,0.000013196163,0.0029167545],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989676,0.000016939264,0.000010185802,0.000023713073,0.000043580218,0.000008859736],"domain_scores_gemma":[0.9999368,0.000019031491,0.00001490088,0.000007680739,0.000017499855,0.000004052749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017131784,0.00018949452,0.00019592785,0.00015465419,0.00019082699,0.00029607254,0.0006774557,0.00019383483,0.0016936065],"category_scores_gemma":[0.00013099694,0.00008394111,0.00019051919,0.000117206335,0.0002062826,0.00032452247,0.00021230416,0.00023265023,0.0003181378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051114825,0.00012235438,0.00049995695,0.0006077716,0.0000442301,0.00025730082,0.0002241672,0.02038573,0.786397,0.010053336,0.0009294229,0.17996763],"study_design_scores_gemma":[0.00031000323,0.0028440903,0.002634903,0.00009176301,0.00013535336,0.00079073093,0.00014242818,0.6453295,0.31832117,0.003785622,0.02554749,0.00006699749],"about_ca_topic_score_codex":0.00025397254,"about_ca_topic_score_gemma":0.00040381553,"teacher_disagreement_score":0.0016936065,"about_ca_system_score_codex":0.00012825755,"about_ca_system_score_gemma":0.00013705424,"threshold_uncertainty_score":0.00566566},"labels":[],"label_agreement":null},{"id":"W2345283725","doi":"10.1109/tvt.2015.2504037","title":"Mobility-Aware Performance Evaluation of Heterogeneous Wireless Networks With Traffic Offloading","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Computer science; Computer network; Mobility model; Base station; Network packet; Wireless; Cellular network; Packet loss; Orthogonal frequency-division multiple access; Handover; Energy consumption; Wireless network; Throughput; Orthogonal frequency-division multiplexing; Engineering; Telecommunications","score_opus":0.0154158031503232,"score_gpt":0.22623335815373144,"score_spread":0.21081755500340824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345283725","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":[0.8848862,0.0004340712,0.1110157,0.00011483384,0.00003192798,0.000070251706,0.00007911895,0.0002173688,0.0031504468],"genre_scores_gemma":[0.99762017,0.00006893106,0.0021549773,0.000007355276,0.000003180875,0.000011971182,0.000023232984,0.0000041450835,0.00010593229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992793,0.00024938764,0.00004072974,0.000095993295,0.0002047398,0.00012982146],"domain_scores_gemma":[0.9988753,0.0005789661,0.00018740523,0.00011104832,0.00019739325,0.000049802566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011216005,0.0009457186,0.0004891663,0.0006157688,0.00033835662,0.0005541719,0.0005656001,0.00048121173,0.00028308146],"category_scores_gemma":[0.0030198696,0.00012801905,0.00035317655,0.0006500581,0.00044453162,0.000897773,0.00055387616,0.00025743438,0.000053156124],"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":[0.00017122374,0.00010079125,0.0040253685,0.00003974791,0.000032589767,0.00014483518,0.00002840755,0.9714712,0.0090769725,0.0013248198,0.00010037665,0.013483636],"study_design_scores_gemma":[0.0000024090157,0.000087515604,0.0011283343,0.0000027771027,0.000011267912,0.000029798013,0.000018376557,0.99558985,0.0027896091,0.00028458165,0.000049821345,0.0000056842086],"about_ca_topic_score_codex":0.0041615106,"about_ca_topic_score_gemma":0.0025429463,"teacher_disagreement_score":0.0041615106,"about_ca_system_score_codex":0.0010130516,"about_ca_system_score_gemma":0.0004487778,"threshold_uncertainty_score":0.008274555},"labels":[],"label_agreement":null},{"id":"W2346458564","doi":"10.1109/tvt.2016.2562629","title":"An Adaptive Impedance-Matching System for Vehicular Power Line Communication","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":24,"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 British Columbia","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Impedance matching; Electronic engineering; Electrical impedance; Maximum power transfer theorem; Communications system; Power-line communication; Engineering; SIGNAL (programming language); Characteristic impedance; Output impedance; Noise (video); Damping factor; Electrical engineering; Computer science; Power (physics)","score_opus":0.01163872325345868,"score_gpt":0.2405810529763445,"score_spread":0.2289423297228858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346458564","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":[0.06220392,0.00032579686,0.9298336,0.00017857917,0.00009300498,0.00011520298,0.000041211006,0.0020902695,0.005118463],"genre_scores_gemma":[0.9578433,0.000116070354,0.038858272,0.000108866676,0.000036650898,0.00005430203,0.00005405031,0.00004229345,0.0028860942],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994404,0.00018177195,0.000036148507,0.0001019653,0.00018433639,0.00005547793],"domain_scores_gemma":[0.99969983,0.00007406479,0.00006020557,0.000043105756,0.00010515149,0.000017682605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037939433,0.00046376875,0.00035553687,0.00045695706,0.000339545,0.0006247677,0.0010470508,0.000741578,0.0022580086],"category_scores_gemma":[0.0008896535,0.000111458634,0.00023875126,0.0005288084,0.0002842566,0.000917765,0.0006002912,0.00039108226,0.0011275171],"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":[0.00077791733,0.00032385168,0.0034111037,0.00033720944,0.000100532015,0.0004315155,0.00035168856,0.16119069,0.38089916,0.016316006,0.004563003,0.43129733],"study_design_scores_gemma":[0.00011093022,0.0010703518,0.0016268834,0.000049490183,0.00011252463,0.00058380706,0.0000791631,0.81033623,0.15779401,0.0052198,0.022949692,0.00006707321],"about_ca_topic_score_codex":0.0006189541,"about_ca_topic_score_gemma":0.00045854645,"teacher_disagreement_score":0.0022580086,"about_ca_system_score_codex":0.0005255167,"about_ca_system_score_gemma":0.0002509912,"threshold_uncertainty_score":0.0075537562},"labels":[],"label_agreement":null},{"id":"W2368724693","doi":"10.1109/tvt.2016.2567602","title":"Performance Analysis of Dual-Hop MIMO AF Relaying Network With Multiple Interferences","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Relay; MIMO; Hop (telecommunications); Transmitter; Diversity gain; Computer science; Maximal-ratio combining; Array gain; Signal-to-noise ratio (imaging); Electronic engineering; Interference (communication); Transmission (telecommunications); Topology (electrical circuits); Computer network; Engineering; Telecommunications; Fading; Antenna array; Beamforming; Decoding methods; Electrical engineering; Antenna (radio); Power (physics); Physics; Channel (broadcasting)","score_opus":0.01925350628936448,"score_gpt":0.23820183820765578,"score_spread":0.2189483319182913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368724693","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":[0.42189997,0.0036645727,0.5463214,0.00064391136,0.00010640858,0.00007864565,0.00026202074,0.00042048222,0.026602592],"genre_scores_gemma":[0.9876979,0.0007365544,0.010007747,0.00004391777,0.00003548168,0.000028985496,0.00005134831,0.000017288892,0.0013807782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881434,0.00033386424,0.000048840044,0.00016502436,0.00040016093,0.00023779468],"domain_scores_gemma":[0.99627703,0.0020906893,0.00049147883,0.00018015623,0.0008618839,0.000098808356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011876323,0.0012468802,0.0009694397,0.0009745093,0.00066693744,0.0012678608,0.0010175782,0.001135131,0.0012728936],"category_scores_gemma":[0.0043262243,0.00032958318,0.0005945139,0.0009856452,0.00094312266,0.0012697103,0.0010539899,0.000626762,0.0003477081],"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":[0.00013217653,0.000035249646,0.0017314806,0.000099229874,0.000043010918,0.0004167169,0.0001236344,0.9667008,0.008697536,0.013475155,0.0003042733,0.008240824],"study_design_scores_gemma":[0.0000034516763,0.000051227198,0.00027903417,0.0000047997796,0.000014815131,0.0001460771,0.000028298171,0.99705005,0.0008724409,0.0014300608,0.00010992764,0.000009848301],"about_ca_topic_score_codex":0.0044913064,"about_ca_topic_score_gemma":0.002397772,"teacher_disagreement_score":0.0044913064,"about_ca_system_score_codex":0.0016681595,"about_ca_system_score_gemma":0.00082553085,"threshold_uncertainty_score":0.012103379},"labels":[],"label_agreement":null},{"id":"W2385559241","doi":"10.1109/tvt.2016.2567066","title":"Dynamic Pricing, Scheduling, and Energy Management for Profit Maximization in PHEV Charging Stations","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministry of Science, ICT and Future Planning","keywords":"Dynamic pricing; Computer science; Lyapunov optimization; Profit maximization; Probabilistic logic; Renewable energy; Energy management; Scheduling (production processes); Electric vehicle; Profit (economics); Energy storage; Charging station; Electricity; Automotive engineering; Engineering; Energy (signal processing); Electrical engineering; Power (physics); Operations management","score_opus":0.003446063810309994,"score_gpt":0.19482936885195193,"score_spread":0.19138330504164194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385559241","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":[0.072893836,0.000220232,0.9214988,0.0004514762,0.000042619635,0.00008255346,0.00003952268,0.00013336247,0.004637618],"genre_scores_gemma":[0.96550715,0.000117645315,0.032856505,0.00004118518,0.000016178536,0.000049164413,0.000027164582,0.000026040994,0.0013589321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995746,0.00016799742,0.000014435572,0.000071428665,0.000068127745,0.00010343656],"domain_scores_gemma":[0.9993924,0.0003681123,0.00008133296,0.000035064506,0.000064652006,0.000058404596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009765071,0.0006505458,0.00089058006,0.00030082048,0.00061386666,0.0012401844,0.0010546407,0.0009173865,0.0017582278],"category_scores_gemma":[0.0027437392,0.00041021727,0.0004552955,0.00053058186,0.0007253612,0.0010649991,0.0009929617,0.0012069644,0.00017896993],"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":[0.00003674292,0.000026841037,0.00026482568,0.000019855162,0.0000083234145,0.00004726864,0.000030686304,0.9814161,0.00065610587,0.011099068,0.00027091947,0.006123204],"study_design_scores_gemma":[0.000003789928,0.000007946807,0.000027765347,0.0000010123023,0.0000013245033,0.000004334521,0.000007875668,0.99753344,0.00012797065,0.0022035008,0.00007936254,0.0000017661146],"about_ca_topic_score_codex":0.0049775722,"about_ca_topic_score_gemma":0.0035364171,"teacher_disagreement_score":0.0049775722,"about_ca_system_score_codex":0.0013302256,"about_ca_system_score_gemma":0.0017635815,"threshold_uncertainty_score":0.009897232},"labels":[],"label_agreement":null},{"id":"W2387173529","doi":"10.1109/tvt.2016.2565664","title":"Zoning and Relaying-Based MAC Protocol With RF Recharging","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":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 network; Polling; Network packet; Computer science; Node (physics); Wireless sensor network; Transmission (telecommunications); Bandwidth (computing); Wireless; Real-time computing; Engineering; Telecommunications","score_opus":0.007770939725132388,"score_gpt":0.21911346462163625,"score_spread":0.21134252489650387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387173529","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07700096,0.0015558868,0.9173901,0.0003803861,0.00011209609,0.00021955596,0.00006253753,0.0010001254,0.0022782448],"genre_scores_gemma":[0.9197437,0.00042757223,0.078250036,0.000077130484,0.000045928027,0.0001351202,0.000043561402,0.000027771477,0.0012491232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990694,0.00024866534,0.000069708636,0.00018986811,0.00026479352,0.00015768401],"domain_scores_gemma":[0.9979436,0.0007439416,0.00040178897,0.0004369163,0.00039331338,0.00008056413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014524644,0.0006162648,0.00084192527,0.00093587616,0.0009861566,0.0009675343,0.001990025,0.0006971436,0.0008166404],"category_scores_gemma":[0.0030793473,0.0003124948,0.0005578325,0.00096526236,0.0009331951,0.0018967305,0.0011872002,0.0005765911,0.00016632258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073719915,0.00017318333,0.0022412324,0.00039677703,0.00021623609,0.00059526635,0.0011000137,0.6354567,0.08970082,0.14810164,0.003302587,0.11797831],"study_design_scores_gemma":[0.000041545412,0.00020628395,0.00055458926,0.00000990672,0.00007313606,0.00029503534,0.00005333041,0.98077214,0.0076000905,0.006677838,0.0036690263,0.000047003054],"about_ca_topic_score_codex":0.003886501,"about_ca_topic_score_gemma":0.0042234496,"teacher_disagreement_score":0.003886501,"about_ca_system_score_codex":0.0012379651,"about_ca_system_score_gemma":0.0014205241,"threshold_uncertainty_score":0.008982062},"labels":[],"label_agreement":null},{"id":"W2388363221","doi":"10.1109/tvt.2015.2449335","title":"Practical Asynchronous Neighbor Discovery in Ad Hoc Networks With Directional Antennas","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":30,"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 Waterloo","funders":"Higher Education Discipline Innovation Project; Shanghai Key Laboratory of Digital Media Processing and Transmission; Major State Basic Research Development Program of China; National Natural Science Foundation of China","keywords":"Asynchronous communication; Neighbor Discovery Protocol; Computer science; Initialization; Wireless ad hoc network; Algorithm; Distributed computing; Theoretical computer science; Computer network; Wireless; Telecommunications; The Internet","score_opus":0.014957826142783244,"score_gpt":0.24712007573585767,"score_spread":0.23216224959307444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388363221","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":[0.026124474,0.000214146,0.97139865,0.000118806165,0.000034998568,0.000046382997,0.000017789722,0.00023857265,0.0018061997],"genre_scores_gemma":[0.7084274,0.0004410741,0.28797734,0.00008520786,0.0000683393,0.00013705445,0.00008392044,0.000053504176,0.0027261965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818903,0.00076052966,0.00008270652,0.00025606205,0.0005266412,0.00018503779],"domain_scores_gemma":[0.99618727,0.0023891793,0.00033851678,0.00049301883,0.00045555364,0.00013643377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023419275,0.00062925916,0.0006352621,0.00057808735,0.0010614556,0.0012609042,0.0015572476,0.00081533805,0.000991487],"category_scores_gemma":[0.0058311448,0.00038462816,0.0004154508,0.00095358933,0.00088683056,0.0024000076,0.0011682521,0.0008041579,0.00027785977],"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":[0.0003470392,0.0001279352,0.001954368,0.0001575283,0.00004614966,0.00018458649,0.00024778166,0.76868343,0.011483009,0.09998528,0.0022763999,0.11450639],"study_design_scores_gemma":[0.0000290969,0.00005708018,0.00010911593,0.000003030258,0.000008947424,0.000056697852,0.000030058178,0.98701847,0.0019905278,0.009581575,0.0011083557,0.000007119535],"about_ca_topic_score_codex":0.0016673743,"about_ca_topic_score_gemma":0.001680009,"teacher_disagreement_score":0.0023419275,"about_ca_system_score_codex":0.0009982226,"about_ca_system_score_gemma":0.0010799695,"threshold_uncertainty_score":0.012385428},"labels":[],"label_agreement":null},{"id":"W2395502954","doi":"10.1109/tvt.2015.2448593","title":"An Analytical Framework for Evaluating Spectrum/Energy Efficiency of Heterogeneous Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":36,"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 Calgary; Huawei Technologies (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrocell; Femtocell; Quality of service; Mathematical optimization; Computer science; Spectral efficiency; Multi-objective optimization; Efficient energy use; Cellular network; Heterogeneous network; Femto-; Optimization problem; Base station; Wireless network; Computer network; Wireless; Mathematics; Engineering; Channel (broadcasting); Telecommunications","score_opus":0.020437678867921926,"score_gpt":0.2769052868278508,"score_spread":0.2564676079599289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395502954","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":[0.008249767,0.0007353785,0.98057073,0.00018156914,0.000037007947,0.000038954513,0.00006949402,0.00007775764,0.010039208],"genre_scores_gemma":[0.8569386,0.0032097183,0.13346288,0.00018522919,0.0001931752,0.00026537158,0.00017183932,0.00009036653,0.005482803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990664,0.00029319193,0.00003071733,0.0000843205,0.0003861963,0.00013911477],"domain_scores_gemma":[0.99920124,0.0004013356,0.00010793229,0.00006921633,0.00018054101,0.00003976412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013823846,0.0013510083,0.00073027017,0.0013128226,0.0005670646,0.0016242554,0.001510451,0.0011606811,0.0011938534],"category_scores_gemma":[0.003365709,0.00037259542,0.0008954334,0.0012917755,0.0012615649,0.0014834323,0.001273312,0.0009519368,0.00032297615],"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":[0.000006830033,0.000018786202,0.0002328414,0.00004024675,0.000015621315,0.00008632057,0.000027300963,0.908851,0.0020858485,0.08111832,0.00046098244,0.007055786],"study_design_scores_gemma":[0.0000012050301,0.00000998455,0.00009782048,0.000010746475,0.000005925594,0.000024068746,0.000018300969,0.9858057,0.0003212194,0.012791444,0.0009077942,0.000005871182],"about_ca_topic_score_codex":0.0035403245,"about_ca_topic_score_gemma":0.002442542,"teacher_disagreement_score":0.0035403245,"about_ca_system_score_codex":0.0020593912,"about_ca_system_score_gemma":0.0010694346,"threshold_uncertainty_score":0.014941931},"labels":[],"label_agreement":null},{"id":"W2396020700","doi":"10.1109/tvt.2015.2440412","title":"Joint Beamforming, Power, and Channel Allocation in Multiuser and Multichannel Underlay MISO Cognitive Radio Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":49,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Cognitive radio; Underlay; Mathematical optimization; Computer science; Optimization problem; Channel (broadcasting); Channel allocation schemes; Relaxation (psychology); Algorithm; Signal-to-noise ratio (imaging); Mathematics; Telecommunications; Wireless","score_opus":0.013988774384373959,"score_gpt":0.2216443278961759,"score_spread":0.20765555351180195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396020700","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":[0.06998446,0.00043723875,0.9267595,0.00015085413,0.00003519407,0.000020105941,0.000024722855,0.0000951956,0.002492722],"genre_scores_gemma":[0.9541858,0.0002876183,0.043999556,0.00006387894,0.000023513516,0.00003891518,0.000014744864,0.000014058476,0.0013719546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994173,0.000231104,0.000016517997,0.000103767255,0.0001154058,0.000115787676],"domain_scores_gemma":[0.99964166,0.0002181665,0.00005549254,0.00002188885,0.00004234791,0.000020483229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005596293,0.0007852404,0.0006237651,0.00025885823,0.00032102127,0.000731111,0.00050165225,0.0006995635,0.00040402],"category_scores_gemma":[0.0010563296,0.0003168381,0.00035225772,0.00049636513,0.00087008794,0.0007707814,0.0006015604,0.00041688952,0.00009427131],"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":[0.000058517973,0.00002172628,0.00037463487,0.000026553165,0.000025437394,0.00008713832,0.00005086749,0.97882336,0.0024107217,0.006413772,0.0001442353,0.011563031],"study_design_scores_gemma":[0.000007835268,0.000028352208,0.000119180826,0.0000022238871,0.000008920703,0.000019597317,0.000022032467,0.9952493,0.00087654695,0.0034793953,0.00018077886,0.0000058246433],"about_ca_topic_score_codex":0.0035529449,"about_ca_topic_score_gemma":0.004015605,"teacher_disagreement_score":0.0035529449,"about_ca_system_score_codex":0.00048678316,"about_ca_system_score_gemma":0.0006620034,"threshold_uncertainty_score":0.0070645213},"labels":[],"label_agreement":null},{"id":"W2397393284","doi":"10.1109/tvt.2015.2438113","title":"Data Detection Algorithms for BICM Alternate-Relaying Cooperative Systems With Multiple-Antenna Destination","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Algorithm; Decoding methods; Bit error rate; Network packet; Transmission (telecommunications); Real-time computing; Computer network; Telecommunications","score_opus":0.09213230490528193,"score_gpt":0.3040648141522022,"score_spread":0.21193250924692028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397393284","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":[0.009761976,0.00022691485,0.9887883,0.00007909218,0.000018489163,0.000026252299,0.00002076593,0.00012905357,0.0009491908],"genre_scores_gemma":[0.28057528,0.00035474787,0.716074,0.00010543748,0.000036293288,0.00017664612,0.00010770803,0.000042616804,0.0025271955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929416,0.00015395135,0.00005448301,0.00009159181,0.00033650125,0.000069252215],"domain_scores_gemma":[0.9980248,0.00091905653,0.0002277225,0.00020386222,0.00058308523,0.000041456125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009928397,0.0006635338,0.0006909875,0.0009340152,0.0005064341,0.0008681001,0.0012262412,0.000761954,0.0009914832],"category_scores_gemma":[0.004533884,0.00039289743,0.00032325368,0.00066853216,0.00060334924,0.0010151187,0.001004929,0.0008210838,0.0004098229],"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":[0.0003215551,0.000079696656,0.0017397898,0.00017392996,0.000058272683,0.00012601409,0.0005335785,0.524173,0.01482598,0.06543175,0.0022536507,0.39028287],"study_design_scores_gemma":[0.00001983669,0.000046015626,0.00015275991,0.000010382117,0.000007686105,0.0000964351,0.000024626283,0.9856595,0.0041018855,0.008406345,0.0014564155,0.000018017729],"about_ca_topic_score_codex":0.0017752986,"about_ca_topic_score_gemma":0.0023951728,"teacher_disagreement_score":0.0017752986,"about_ca_system_score_codex":0.0010440885,"about_ca_system_score_gemma":0.0012112441,"threshold_uncertainty_score":0.0075754523},"labels":[],"label_agreement":null},{"id":"W2399609796","doi":"10.1109/tvt.2016.2570801","title":"Cognitive Coded Cooperation in Underlay Spectrum-Sharing Networks Under Interference Power Constraints","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Computer science; Phase-shift keying; Rayleigh fading; Underlay; Spectral efficiency; Pairwise error probability; Bit error rate; Electronic engineering; Interference (communication); Signal-to-noise ratio (imaging); Fading; Computer network; Telecommunications; Wireless; Decoding methods; Channel (broadcasting); Engineering","score_opus":0.026819552753682276,"score_gpt":0.2692242868571702,"score_spread":0.24240473410348792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399609796","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":[0.36486918,0.0013741397,0.62101734,0.00035238577,0.000047238325,0.00005332728,0.0001228613,0.00021425246,0.011949204],"genre_scores_gemma":[0.99297136,0.00024327365,0.00582916,0.000029688226,0.000011665025,0.00002437882,0.000012272548,0.000007726392,0.0008705437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989749,0.0003937266,0.000026461285,0.000101603095,0.00025591414,0.00024743],"domain_scores_gemma":[0.9957071,0.0032230674,0.00040418885,0.00017154826,0.00040187017,0.000092243754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015570229,0.00069979555,0.00083847897,0.00058401335,0.00063309434,0.0013004533,0.0010675229,0.0008017118,0.0006028383],"category_scores_gemma":[0.0054911855,0.0003929156,0.0003410568,0.0008680517,0.0015792496,0.0011076328,0.0012092573,0.0005885852,0.00011241522],"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":[0.000091387126,0.000022287313,0.00048999744,0.00006920415,0.00003643243,0.0005964039,0.00025863317,0.9537296,0.0024516138,0.03423243,0.00034518592,0.007676876],"study_design_scores_gemma":[0.0000064979054,0.000025594785,0.00014110978,0.000005888827,0.000012340387,0.00008593861,0.000040186376,0.9862671,0.00046540258,0.012782391,0.00015808309,0.000009458401],"about_ca_topic_score_codex":0.006212666,"about_ca_topic_score_gemma":0.005171682,"teacher_disagreement_score":0.006212666,"about_ca_system_score_codex":0.0014148491,"about_ca_system_score_gemma":0.0012060427,"threshold_uncertainty_score":0.012353003},"labels":[],"label_agreement":null},{"id":"W2403621278","doi":"10.1109/tvt.2015.2440994","title":"Optimizing the Control Channel Interval of the DSRC for Vehicular Safety Applications","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":50,"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":"Dedicated short-range communications; Control channel; Computer network; Computer science; Vehicular ad hoc network; Channel (broadcasting); Interval (graph theory); IEEE 802.11p; Wireless ad hoc network; Reliability (semiconductor); Wireless; Mobile radio; Telecommunications; Telecommunications link; Mathematics","score_opus":0.010938359748988309,"score_gpt":0.2134874787812216,"score_spread":0.2025491190322333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403621278","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":[0.07894451,0.0008051913,0.91424495,0.0002349257,0.00009141541,0.00014131042,0.000038564755,0.00075116387,0.004747966],"genre_scores_gemma":[0.84797305,0.00022098524,0.1504099,0.00007679551,0.000036807487,0.00015009471,0.00007690208,0.00007718569,0.0009783388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888366,0.00022194933,0.00007067922,0.00024961267,0.0003599154,0.00021402467],"domain_scores_gemma":[0.9981729,0.0005956092,0.00034800233,0.00017962344,0.0005423507,0.00016150155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012102708,0.0010489809,0.0008237518,0.0008609466,0.00060299574,0.00095571234,0.0013132417,0.0004882889,0.0007968048],"category_scores_gemma":[0.0038709827,0.0002926839,0.0002753576,0.0007058477,0.0006711486,0.0008997073,0.00069036416,0.00072886265,0.00020557336],"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":[0.00045631404,0.00020055876,0.004377637,0.00013598417,0.000044836703,0.00006821743,0.00018523341,0.75078416,0.022957241,0.010123157,0.0020505611,0.20861623],"study_design_scores_gemma":[0.00006572121,0.00015883046,0.0008809507,0.000010403335,0.000025001138,0.00005982055,0.000058341986,0.9874649,0.008306964,0.0015822944,0.0013641797,0.000022706077],"about_ca_topic_score_codex":0.003949175,"about_ca_topic_score_gemma":0.0033361698,"teacher_disagreement_score":0.003949175,"about_ca_system_score_codex":0.0011332424,"about_ca_system_score_gemma":0.002500463,"threshold_uncertainty_score":0.008222342},"labels":[],"label_agreement":null},{"id":"W2406269440","doi":"10.1109/tvt.2016.2570698","title":"Improving Efficiency Through Adaptive Internal Model Control of Hydrogen-Based Genset Used as a Range Extender for Electric Vehicles","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Controller (irrigation); Powertrain; Range (aeronautics); Computer science; Battery (electricity); Electric power; Driving range; Power (physics); Control theory (sociology); Engineering; Torque; Control (management); Aerospace engineering","score_opus":0.016129591702155215,"score_gpt":0.25382499589076873,"score_spread":0.2376954041886135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406269440","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":[0.38174203,0.0004364265,0.604199,0.00013016265,0.00008949651,0.00006020213,0.000039716262,0.0008467629,0.012456242],"genre_scores_gemma":[0.99394834,0.000056202163,0.00493014,0.0000097085895,0.0000054527554,0.000012412194,0.000015507907,0.000009852669,0.0010123904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992454,0.000013358147,0.0000045493557,0.000017904367,0.000029240275,0.000010504737],"domain_scores_gemma":[0.99991655,0.000024318737,0.000019365729,0.000010997753,0.000025274225,0.0000035781718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017783567,0.0002965056,0.00020423779,0.00011382699,0.00012553307,0.00030098888,0.0003229675,0.00015214048,0.00059194246],"category_scores_gemma":[0.0002222133,0.00009362163,0.00019713482,0.000080327714,0.0001473341,0.00019495566,0.0002385235,0.00022895943,0.00013488262],"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":[0.00039614498,0.0001630182,0.0023619104,0.00035876114,0.00009397243,0.0002132451,0.00032346105,0.5334348,0.2494859,0.004282411,0.001172449,0.20771386],"study_design_scores_gemma":[0.000024531795,0.00041713438,0.0011419152,0.000010409162,0.000026461119,0.00004642114,0.00002597789,0.96243286,0.033138413,0.00038323345,0.0023415112,0.000011119524],"about_ca_topic_score_codex":0.0010528784,"about_ca_topic_score_gemma":0.0015348018,"teacher_disagreement_score":0.0010528784,"about_ca_system_score_codex":0.00014417543,"about_ca_system_score_gemma":0.00012877716,"threshold_uncertainty_score":0.0020934343},"labels":[],"label_agreement":null},{"id":"W2407584500","doi":"10.1109/tvt.2016.2573924","title":"LORA: Loss Differentiation Rate Adaptation Scheme for Vehicle-to-Vehicle Safety Communications","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer network; Packet loss; Fading; Reliability (semiconductor); Network packet; Computer science; PHY; Physical layer; Channel (broadcasting); Vehicle-to-vehicle; Transmission (telecommunications); Interference (communication); Real-time computing; Wireless; Telecommunications","score_opus":0.013960718617344792,"score_gpt":0.22590486188184294,"score_spread":0.21194414326449815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407584500","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":[0.024801863,0.0029140273,0.9599671,0.00052749534,0.00027455308,0.00040008026,0.00019728487,0.006456229,0.004461366],"genre_scores_gemma":[0.8378749,0.0017791115,0.15250733,0.000488728,0.0002773233,0.0006587115,0.0004618642,0.00018751177,0.0057646045],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987633,0.00043417132,0.000086088745,0.00019815571,0.00031779727,0.0002004613],"domain_scores_gemma":[0.9984364,0.00036775347,0.00029702802,0.00026810507,0.00053024094,0.00010036812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019392447,0.0012395143,0.0011202669,0.0013699385,0.0010319055,0.00082436117,0.002003646,0.0006494354,0.0014892125],"category_scores_gemma":[0.0033601902,0.00028078622,0.0004973045,0.0008964349,0.00075839716,0.0013185542,0.0015995442,0.0016808715,0.0011322],"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":[0.0011973922,0.00048244942,0.0034162975,0.0005589785,0.00024418053,0.00066495716,0.00059973303,0.22821426,0.047751762,0.02566383,0.024284173,0.666922],"study_design_scores_gemma":[0.00014744951,0.0007862537,0.0012182875,0.000060448892,0.00008756805,0.000796968,0.0001313473,0.94726557,0.018517898,0.0069850204,0.023836767,0.00016646729],"about_ca_topic_score_codex":0.0022537378,"about_ca_topic_score_gemma":0.0018976381,"teacher_disagreement_score":0.0022537378,"about_ca_system_score_codex":0.00090411335,"about_ca_system_score_gemma":0.0010704981,"threshold_uncertainty_score":0.010255873},"labels":[],"label_agreement":null},{"id":"W2408224050","doi":"10.1109/tvt.2015.2432152","title":"An Optimized and Distributed Data Packet Forwarding Scheme in LTE/LTE-A Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":23,"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 Waterloo","funders":"","keywords":"Computer science; Computer network; Packet forwarding; Network packet; Overhead (engineering); Throughput; Handover; Quality of service; Node (physics); Markov decision process; Transmission delay; Markov process; Distributed computing; Wireless; Engineering; Telecommunications","score_opus":0.05776873557464761,"score_gpt":0.3035023078048648,"score_spread":0.2457335722302172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408224050","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":[0.09356076,0.00023456551,0.9045904,0.00012395642,0.000027920889,0.000063968015,0.00004632244,0.00022498025,0.0011270725],"genre_scores_gemma":[0.9356607,0.00010349639,0.063597776,0.000034595843,0.00000966238,0.000055126166,0.00005375773,0.000009128444,0.0004757464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938214,0.00013780242,0.000042484386,0.00011950591,0.00021457158,0.00010337641],"domain_scores_gemma":[0.99935573,0.00023960767,0.00009558288,0.0000908765,0.00017619926,0.000042081763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010195164,0.00044886812,0.0006158351,0.00043251686,0.0006274736,0.0005411111,0.0010131318,0.000584656,0.0003443622],"category_scores_gemma":[0.0015286867,0.00023417737,0.00030138227,0.0003664706,0.0005462887,0.0007172956,0.000701563,0.00049811596,0.00006882979],"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":[0.00017591592,0.00007506432,0.0006950942,0.000029803705,0.00001881199,0.00007585637,0.000055436656,0.9339245,0.011928073,0.010827577,0.00052715396,0.04166671],"study_design_scores_gemma":[0.000009791419,0.00003211254,0.00007829039,0.000001436324,0.0000042784886,0.000011089419,0.0000044328053,0.99676573,0.0015740378,0.0013801637,0.00013343693,0.0000052385853],"about_ca_topic_score_codex":0.00728349,"about_ca_topic_score_gemma":0.0060057472,"teacher_disagreement_score":0.00728349,"about_ca_system_score_codex":0.0014111955,"about_ca_system_score_gemma":0.0018280352,"threshold_uncertainty_score":0.014482141},"labels":[],"label_agreement":null},{"id":"W2410463341","doi":"10.1109/tvt.2016.2575059","title":"Cooperative Beamforming for Cognitive-Radio-Based Broadcasting Systems in Presence of Asynchronous Interference","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"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 British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Asynchronous communication; Computer science; Interference (communication); WSDMA; Convex optimization; Optimization problem; Mathematical optimization; Cognitive radio; Transmission (telecommunications); Channel (broadcasting); Single antenna interference cancellation; Broadcasting (networking); Telecommunications; Algorithm; Computer network; Mathematics; Regular polygon; Wireless; Precoding; MIMO","score_opus":0.01177645054450975,"score_gpt":0.23305831654074588,"score_spread":0.22128186599623612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410463341","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":[0.007268215,0.00020327157,0.9908661,0.000066641885,0.00001930659,0.000012962252,0.000009772997,0.00005982195,0.001493928],"genre_scores_gemma":[0.8554846,0.000849276,0.14094107,0.00014184951,0.00011397939,0.00013590294,0.00004863946,0.00002355413,0.0022611213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946195,0.0001809995,0.000020203039,0.00009252815,0.00016533212,0.00007893984],"domain_scores_gemma":[0.9994067,0.00034356615,0.00007427228,0.00004236712,0.000109470304,0.000023653694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006996668,0.0007412106,0.00065291487,0.00032265054,0.0003881087,0.0006468235,0.0008692953,0.0006918632,0.00074174826],"category_scores_gemma":[0.0017641541,0.0002614497,0.00033330356,0.00075171667,0.00054903707,0.0007234611,0.00065433263,0.0005685139,0.000305839],"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":[0.00013085299,0.000059752463,0.0007548411,0.00022159233,0.000076057746,0.00035153324,0.00024785564,0.79266596,0.034885596,0.05666485,0.0015577088,0.11238346],"study_design_scores_gemma":[0.000012221553,0.000057580455,0.00011955402,0.000006311164,0.000018529032,0.000060766986,0.00002207938,0.99060297,0.0013685463,0.0069022984,0.0008199054,0.000009299477],"about_ca_topic_score_codex":0.0020016665,"about_ca_topic_score_gemma":0.0024496675,"teacher_disagreement_score":0.0020016665,"about_ca_system_score_codex":0.00047259376,"about_ca_system_score_gemma":0.00072732917,"threshold_uncertainty_score":0.003979981},"labels":[],"label_agreement":null},{"id":"W2414419511","doi":"10.1109/tvt.2016.2578180","title":"Bidirectional AF Relaying With Underlay Spectrum Sharing in Cognitive Radio Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Underlay; Cognitive radio; Relay; Quadrature amplitude modulation; Additive white Gaussian noise; Computer science; Upper and lower bounds; Transceiver; Electronic engineering; Topology (electrical circuits); Bit error rate; Telecommunications; Signal-to-noise ratio (imaging); Computer network; Mathematics; Decoding methods; Engineering; Power (physics); White noise; Wireless; Electrical engineering; Physics","score_opus":0.0238415128837675,"score_gpt":0.2529274496435531,"score_spread":0.2290859367597856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414419511","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":[0.5303115,0.0026562333,0.4555543,0.0001976631,0.000044228836,0.000029494551,0.000045255547,0.00019905291,0.010962222],"genre_scores_gemma":[0.9952561,0.00029048286,0.0041231895,0.000012205573,0.000013771893,0.0000074771297,0.0000043688433,0.000005587053,0.00028675713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917006,0.00032455855,0.00002362402,0.00007580593,0.00021250408,0.00019349731],"domain_scores_gemma":[0.9979182,0.0014433535,0.00025180058,0.00013064225,0.00019257673,0.00006342027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010753026,0.00080010004,0.000562826,0.0004270475,0.00054671976,0.0011575432,0.0007259207,0.0006553024,0.00045671494],"category_scores_gemma":[0.0037236242,0.0002774299,0.00027442747,0.0005151621,0.0009468934,0.0009290769,0.001052161,0.00041073773,0.00014914578],"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":[0.0003305746,0.000079412464,0.0020734689,0.00016470156,0.00007882589,0.00076202315,0.00041110904,0.9038538,0.018874656,0.029763592,0.00031384255,0.043294065],"study_design_scores_gemma":[0.000009256167,0.00013904557,0.00040461967,0.000010426172,0.00002913267,0.00015040177,0.000066073575,0.9862114,0.0017433763,0.010890923,0.00033011878,0.000015149965],"about_ca_topic_score_codex":0.0028011296,"about_ca_topic_score_gemma":0.002937586,"teacher_disagreement_score":0.0028011296,"about_ca_system_score_codex":0.00055063155,"about_ca_system_score_gemma":0.0006162161,"threshold_uncertainty_score":0.00568676},"labels":[],"label_agreement":null},{"id":"W2415839200","doi":"10.1109/tvt.2016.2577018","title":"Lightweight Authentication and Privacy-Preserving Scheme for V2G Connections","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":94,"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 Waterloo","funders":"","keywords":"Vehicle-to-grid; Computer science; Authentication (law); Computer network; Overhead (engineering); Scheme (mathematics); Grid; Message authentication code; Computer security; Smart grid; Electricity; Cryptography; Power (physics); Engineering; Electric vehicle; Electrical engineering","score_opus":0.006460427944112988,"score_gpt":0.20632331711325588,"score_spread":0.19986288916914288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415839200","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":[0.053619962,0.00068711967,0.9340521,0.0007592011,0.00032158245,0.00066114956,0.00023540921,0.0021288444,0.007534575],"genre_scores_gemma":[0.93696153,0.00026506523,0.05656972,0.00020007693,0.00015407568,0.00032953292,0.00024086909,0.00004867994,0.0052304007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99478275,0.0015825623,0.0005659358,0.0006638334,0.0015849577,0.00082004315],"domain_scores_gemma":[0.99404186,0.0012000464,0.0009622173,0.0026568605,0.00079620274,0.00034282124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020988858,0.0009209066,0.0012885132,0.00125914,0.0025853552,0.0021437723,0.0018700957,0.002086674,0.0035408593],"category_scores_gemma":[0.0059057926,0.00042768952,0.0010302421,0.0014469988,0.0015696895,0.00547467,0.0060140938,0.002384111,0.0016274103],"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":[0.0039305883,0.0006867192,0.0044994354,0.00078029576,0.0002954672,0.0026575,0.002330663,0.09178935,0.13819212,0.41228375,0.012700185,0.32985392],"study_design_scores_gemma":[0.00047970048,0.0010578808,0.0014451232,0.00011137124,0.00024342562,0.0030428004,0.0004392812,0.7745128,0.057503503,0.12633933,0.034492765,0.0003320007],"about_ca_topic_score_codex":0.00074127346,"about_ca_topic_score_gemma":0.00044462844,"teacher_disagreement_score":0.0035408593,"about_ca_system_score_codex":0.0012526041,"about_ca_system_score_gemma":0.0019884545,"threshold_uncertainty_score":0.01184541},"labels":[],"label_agreement":null},{"id":"W2418032643","doi":"10.1109/tvt.2016.2578313","title":"Robust Cooperative Secure Beamforming for Simultaneous Wireless Information and Power Transfer in Amplify-and-Forward Relay Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":72,"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","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Artificial noise; Relay; Computer science; Maximum power transfer theorem; Wireless; Channel state information; Optimization problem; Mathematical optimization; Computer network; Electronic engineering; Physical layer; Power (physics); Telecommunications; Mathematics; Engineering; Algorithm","score_opus":0.005743316821715397,"score_gpt":0.18583360483096098,"score_spread":0.1800902880092456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418032643","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":[0.008933442,0.00023913172,0.9897657,0.000075329706,0.000010648829,0.000016631657,0.000013046446,0.000054235243,0.0008916989],"genre_scores_gemma":[0.8294958,0.0010553722,0.16636601,0.000118491385,0.000046569374,0.00016132755,0.00005210591,0.000036326837,0.002667988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989673,0.0005007461,0.000042281827,0.0001358564,0.00026917766,0.0000847043],"domain_scores_gemma":[0.9990459,0.000628579,0.00013854736,0.00006231142,0.000099143654,0.000025559828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001342381,0.0010902949,0.0008830673,0.00032925312,0.00030519994,0.0006916806,0.0006142705,0.0008005588,0.0010118947],"category_scores_gemma":[0.0019988983,0.00039686885,0.0006020995,0.00059784914,0.0008636173,0.0013814192,0.0009860209,0.00070067606,0.00027950763],"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":[0.00011841396,0.000050700866,0.0002915336,0.00015376607,0.000062859086,0.00015036475,0.00012154145,0.8999377,0.019155884,0.039244093,0.0005459524,0.04016723],"study_design_scores_gemma":[0.000010411716,0.00007379075,0.000049034203,0.0000052413243,0.000010362198,0.000034943547,0.000017456876,0.9912847,0.0022804874,0.0058923597,0.0003328288,0.000008408682],"about_ca_topic_score_codex":0.0006282129,"about_ca_topic_score_gemma":0.0005415234,"teacher_disagreement_score":0.001342381,"about_ca_system_score_codex":0.00051266846,"about_ca_system_score_gemma":0.0005265097,"threshold_uncertainty_score":0.007099271},"labels":[],"label_agreement":null},{"id":"W2432109808","doi":"10.1109/tvt.2015.2473841","title":"Lithium-Ion Battery Aging Experiments at Subzero Temperatures and Model Development for Capacity Fade Estimation","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Lyon","keywords":"Fade; Battery (electricity); Anode; Degradation (telecommunications); Lithium-ion battery; Ion; Materials science; Lithium (medication); Accelerated aging; Electrode; Electrical engineering; Computer science; Chemistry; Engineering; Thermodynamics; Physics; Composite material; Physical chemistry; Organic chemistry","score_opus":0.038618218446159314,"score_gpt":0.28042813094701335,"score_spread":0.24180991250085404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2432109808","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":[0.59018123,0.0028423883,0.3818084,0.000303968,0.00019564728,0.00058580475,0.0055912193,0.0030354639,0.015455869],"genre_scores_gemma":[0.96736187,0.0010125461,0.024826247,0.000025403871,0.0000133841295,0.0005519296,0.0018711129,0.00012091825,0.0042165937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990296,0.000015270698,0.000012162584,0.000025053296,0.000031498374,0.000013023448],"domain_scores_gemma":[0.99972206,0.000112439055,0.000024596464,0.000041706615,0.00009295922,0.000006244937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036990986,0.00078319054,0.00061888766,0.00041362533,0.00029100777,0.00044264912,0.0008537491,0.00065897935,0.0019059877],"category_scores_gemma":[0.0009014768,0.00017702681,0.0008228155,0.00050134154,0.00016874926,0.0005862472,0.00031973538,0.0008328886,0.0005474934],"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":[0.00010969982,0.00009607762,0.0018033576,0.00031289397,0.000027277449,0.00010946196,0.00010965578,0.95501214,0.024946786,0.0016468026,0.00088114425,0.0149447005],"study_design_scores_gemma":[0.000005768227,0.00006094929,0.0006025734,0.000008595664,0.000013797606,0.000013435404,0.000016973401,0.9848616,0.0129925925,0.00034510982,0.0010687781,0.000009783474],"about_ca_topic_score_codex":0.009041104,"about_ca_topic_score_gemma":0.004931045,"teacher_disagreement_score":0.009041104,"about_ca_system_score_codex":0.0005436015,"about_ca_system_score_gemma":0.000396308,"threshold_uncertainty_score":0.01797694},"labels":[],"label_agreement":null},{"id":"W2439064233","doi":"10.1109/tvt.2016.2580512","title":"Spectral-Efficient Quadrature Spatial Modulation Cooperative Amplify and Forward Spectrum-Sharing Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"Lakehead University","funders":"","keywords":"Electronic engineering; Quadrature (astronomy); Quadrature amplitude modulation; Computer science; Modulation (music); Telecommunications; Physics; Engineering; Bit error rate; Acoustics; Channel (broadcasting)","score_opus":0.008735314258550009,"score_gpt":0.21888966306302526,"score_spread":0.21015434880447526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2439064233","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":[0.12845038,0.0009996827,0.8577452,0.00025275236,0.000045816778,0.00006501589,0.00008169266,0.00017773177,0.012181758],"genre_scores_gemma":[0.97487056,0.0002885062,0.023482112,0.00004460384,0.000020093063,0.000028493281,0.000022540384,0.00000474596,0.0012383424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992712,0.00022974478,0.000029049621,0.00008033703,0.00030502462,0.00008460846],"domain_scores_gemma":[0.99898785,0.0005411509,0.000155345,0.000092857656,0.00020253197,0.000020246194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092453265,0.00051031285,0.00076211954,0.00031462777,0.00041020924,0.0007901905,0.00072269654,0.0005122367,0.0009288662],"category_scores_gemma":[0.001787393,0.00016242325,0.00022024025,0.00066446787,0.00052908796,0.0007672631,0.00085116934,0.00032425465,0.0002487186],"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":[0.0002313527,0.0001181145,0.0015358448,0.0001781881,0.00006536402,0.0003672455,0.00028061087,0.771728,0.036556024,0.10703151,0.0014134157,0.08049438],"study_design_scores_gemma":[0.000009229489,0.00006332809,0.00018440573,0.000005991761,0.00000946342,0.00009375346,0.000018920531,0.9894874,0.0017385712,0.007863349,0.00051685004,0.000008806024],"about_ca_topic_score_codex":0.0007069993,"about_ca_topic_score_gemma":0.0010769115,"teacher_disagreement_score":0.0009288662,"about_ca_system_score_codex":0.0005495481,"about_ca_system_score_gemma":0.00038947145,"threshold_uncertainty_score":0.0048894286},"labels":[],"label_agreement":null},{"id":"W2442675860","doi":"10.1109/tvt.2015.2487301","title":"Integrated Electromechanical Double-Rotor Compound Hybrid Transmissions for Hybrid Electric Vehicles","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Component (thermodynamics); Rotor (electric); Engineering; Driving cycle; Transmission (telecommunications); Process (computing); Automotive engineering; Key (lock); Electronic engineering; Electric machine; Control engineering; Electric vehicle; Computer science; Electrical engineering; Power (physics)","score_opus":0.019088417897373054,"score_gpt":0.2320131206673702,"score_spread":0.21292470276999714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2442675860","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":[0.14969684,0.002381463,0.83021426,0.000115571565,0.00019342067,0.00013158444,0.00008698618,0.0006825249,0.016497362],"genre_scores_gemma":[0.89342135,0.00082960725,0.09981283,0.000028701028,0.00005094271,0.0000663562,0.00011667309,0.000042446143,0.005631226],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999881,0.000018404018,0.000005571624,0.000023021174,0.000062351966,0.000009625187],"domain_scores_gemma":[0.9998939,0.000027767765,0.000016109034,0.000015686514,0.000040378825,0.0000061708997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015987962,0.00042107987,0.00020636049,0.0003335127,0.00020354844,0.00044310378,0.0004258501,0.00032280962,0.0021394151],"category_scores_gemma":[0.00020667713,0.0001709044,0.00018851738,0.00021716641,0.00019839616,0.00085618166,0.00028793284,0.00032135015,0.0004348027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032043204,0.00014197864,0.0028393131,0.000764408,0.00008803196,0.0007647653,0.00031924853,0.06402272,0.50967467,0.0479016,0.0032914502,0.36987132],"study_design_scores_gemma":[0.00008661872,0.0033091854,0.005514823,0.00018537647,0.00017042668,0.003449877,0.00034820897,0.55795753,0.2869822,0.016036564,0.12586582,0.00009333652],"about_ca_topic_score_codex":0.00010696505,"about_ca_topic_score_gemma":0.0003039342,"teacher_disagreement_score":0.0021394151,"about_ca_system_score_codex":0.00019588918,"about_ca_system_score_gemma":0.00015037671,"threshold_uncertainty_score":0.0071570873},"labels":[],"label_agreement":null},{"id":"W2460736120","doi":"10.1109/tvt.2016.2586758","title":"Multihop V2I Communications: A Feasibility Study, Modeling, and Performance Analysis","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer network; Unavailability; Relay; Computer science; Wireless ad hoc network; Network packet; Default gateway; Network topology; Throughput; Wireless; Wireless network; Limiting; Outage probability; Distributed computing; Vehicular ad hoc network; Topology (electrical circuits); Channel (broadcasting); Engineering; Fading; Telecommunications","score_opus":0.018921406907266656,"score_gpt":0.24390763530562867,"score_spread":0.22498622839836202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460736120","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":[0.26429296,0.0027821283,0.6854673,0.002009405,0.00012561644,0.00058231375,0.00034929844,0.00031982252,0.044071086],"genre_scores_gemma":[0.96593964,0.0011120562,0.029364433,0.000050802595,0.00005583768,0.0001694032,0.00013782592,0.000018462655,0.0031516058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938023,0.00020598852,0.000013642063,0.00006934218,0.00022505938,0.000105720384],"domain_scores_gemma":[0.99859744,0.0008845951,0.00015316505,0.000065174965,0.00024809578,0.00005154702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011536046,0.000649122,0.0004742124,0.0005506693,0.0005295421,0.001117028,0.0011420725,0.0011069281,0.0018381936],"category_scores_gemma":[0.002281789,0.00025814422,0.0003875358,0.00077273656,0.0004747916,0.0013932468,0.0006339919,0.0006237327,0.00029360846],"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":[0.0002360544,0.0003106708,0.0034851248,0.00040987632,0.000032901975,0.00070929603,0.00019425066,0.90250665,0.007596095,0.040183354,0.002912603,0.04142315],"study_design_scores_gemma":[0.000009257452,0.00032044228,0.00040756786,0.000013439591,0.000010838159,0.0002008946,0.000109188986,0.9922639,0.0014142832,0.004103254,0.0011321643,0.000014863748],"about_ca_topic_score_codex":0.0052170167,"about_ca_topic_score_gemma":0.0031836487,"teacher_disagreement_score":0.0052170167,"about_ca_system_score_codex":0.0012482426,"about_ca_system_score_gemma":0.0012055465,"threshold_uncertainty_score":0.010373294},"labels":[],"label_agreement":null},{"id":"W2465522212","doi":"10.1109/tvt.2015.2466651","title":"Private and Flexible Urban Message Delivery","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":19,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; Japan Society for the Promotion of Science; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Engineering; Telecommunications","score_opus":0.014169773568836664,"score_gpt":0.2257217885225911,"score_spread":0.21155201495375442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465522212","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":[0.12514202,0.00039309773,0.8580279,0.0010134232,0.00011531939,0.00013083285,0.00039097562,0.0013269313,0.01345953],"genre_scores_gemma":[0.971414,0.0001632002,0.023775607,0.00006725097,0.000029296541,0.00004234882,0.00015732949,0.00005533841,0.0042955624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998973,0.00026595333,0.000045405144,0.00017683867,0.00031238495,0.00022645552],"domain_scores_gemma":[0.9978599,0.000692679,0.00022499535,0.0008647471,0.00025824225,0.00009947764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001183597,0.0003941722,0.0005791285,0.00047321495,0.0010016108,0.0010339194,0.0013257848,0.0008688983,0.0023350338],"category_scores_gemma":[0.003898295,0.00028207226,0.00030821405,0.0007569845,0.0011091765,0.002387089,0.0027973785,0.0009908684,0.00069488434],"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":[0.0009318417,0.0001681602,0.0021018733,0.00015689254,0.00004766638,0.0005122594,0.0007071428,0.6044146,0.024396896,0.23447537,0.008920273,0.123167016],"study_design_scores_gemma":[0.000046876336,0.00007214244,0.00035298293,0.000009622019,0.000011984701,0.0001404523,0.00012441498,0.9257013,0.006443208,0.059287064,0.007784132,0.000025802587],"about_ca_topic_score_codex":0.0015630012,"about_ca_topic_score_gemma":0.0018043161,"teacher_disagreement_score":0.0023350338,"about_ca_system_score_codex":0.0009417533,"about_ca_system_score_gemma":0.0008208202,"threshold_uncertainty_score":0.0078114867},"labels":[],"label_agreement":null},{"id":"W2469220665","doi":"10.1109/tvt.2016.2591584","title":"Design of Generalized Concatenated Codes Based on Polar Codes With Very Short Outer Codes","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":8,"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":"Concatenated error correction code; Block code; Serial concatenated convolutional codes; Turbo code; Decoding methods; Algorithm; Linear code; Polar code; Polar; Coding gain; Computer science; Expander code; Mathematics; Theoretical computer science; Physics","score_opus":0.018732981820095723,"score_gpt":0.24432378364182777,"score_spread":0.22559080182173205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469220665","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":[0.09167306,0.00047876613,0.9001028,0.00017694374,0.00008722646,0.00011789839,0.00013550221,0.00039443042,0.0068332944],"genre_scores_gemma":[0.6104268,0.00052416243,0.38513845,0.00015660892,0.000057424942,0.00020949457,0.00026252872,0.0000930478,0.0031315337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994165,0.00019101544,0.000046050616,0.000087942004,0.0001808779,0.00007768482],"domain_scores_gemma":[0.9987501,0.00031389095,0.00027450002,0.00019142167,0.00037615615,0.00009395926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004611085,0.00080894027,0.0005319983,0.00049930584,0.000401201,0.0006034945,0.00049961335,0.0004679044,0.00090016704],"category_scores_gemma":[0.0018892959,0.00030460776,0.0003749897,0.0006045624,0.0008427728,0.0006021131,0.0010847378,0.00061187777,0.0004534789],"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":[0.0007039035,0.00007322932,0.0030768497,0.0004435496,0.0001360635,0.0012418089,0.00059524004,0.3969157,0.22056785,0.17733692,0.002666066,0.1962428],"study_design_scores_gemma":[0.00009760078,0.00080048625,0.0011240796,0.000112191556,0.000090887035,0.0010638734,0.00010495519,0.77043974,0.16415207,0.03917777,0.022717677,0.00011862295],"about_ca_topic_score_codex":0.00072976167,"about_ca_topic_score_gemma":0.0010297657,"teacher_disagreement_score":0.00090016704,"about_ca_system_score_codex":0.00048341296,"about_ca_system_score_gemma":0.000964131,"threshold_uncertainty_score":0.0035073757},"labels":[],"label_agreement":null},{"id":"W2473225105","doi":"10.1109/tvt.2016.2582515","title":"Robust Optimization of SC-FDE-Based Multihop DF Relay Systems With Imperfect CSI","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"SC-FDE; Relay; Computer science; Channel state information; Bit error rate; Optimization problem; Equalization (audio); Transmitter power output; Robustness (evolution); Mathematical optimization; Channel (broadcasting); Power (physics); Algorithm; Wireless; Mathematics; Computer network; Telecommunications; Transmitter","score_opus":0.021064770929442308,"score_gpt":0.22456797332281336,"score_spread":0.20350320239337105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473225105","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":[0.027163755,0.00047951104,0.96850103,0.00021461019,0.000025834534,0.000030718085,0.00007446759,0.000101716134,0.003408364],"genre_scores_gemma":[0.9450604,0.00047084453,0.051116824,0.00006170868,0.000028659564,0.000088677545,0.00008549738,0.000034823795,0.0030527187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995104,0.00016266984,0.000020156443,0.00011586762,0.00012684711,0.000064045984],"domain_scores_gemma":[0.9991054,0.000580181,0.00014167062,0.000046660218,0.000105224455,0.000020936792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000986338,0.0010411062,0.0011006675,0.00032830995,0.00025350755,0.001216173,0.0007053027,0.0012571687,0.0012180326],"category_scores_gemma":[0.0022482492,0.00044019902,0.0005488183,0.0005050145,0.0007761591,0.0009180571,0.00073781586,0.00076726533,0.00022159169],"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":[0.00002927115,0.000011712966,0.000106349224,0.000043779866,0.000022947774,0.000049471746,0.000020578747,0.98849154,0.0013714136,0.005138852,0.00012933611,0.0045847166],"study_design_scores_gemma":[0.000005340516,0.00002070577,0.00005173084,0.0000029754085,0.0000056248086,0.000009248349,0.0000060937405,0.9981335,0.00037674798,0.0012823406,0.00010154317,0.0000041514822],"about_ca_topic_score_codex":0.0030205029,"about_ca_topic_score_gemma":0.0017116177,"teacher_disagreement_score":0.0030205029,"about_ca_system_score_codex":0.00087719155,"about_ca_system_score_gemma":0.00081553846,"threshold_uncertainty_score":0.0063644648},"labels":[],"label_agreement":null},{"id":"W2492119979","doi":"10.1109/tvt.2015.2454234","title":"Repeated Game Analysis for Cooperative MAC With Incentive Design for Wireless Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":16,"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 New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless; Incentive; Computer network; Computer science; Game theory; Wireless network; Telecommunications; Economics; Microeconomics","score_opus":0.04736447180152522,"score_gpt":0.276572141559699,"score_spread":0.22920766975817378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2492119979","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":[0.008681895,0.0002796392,0.9857547,0.00021136132,0.000042716787,0.00009876751,0.000033031676,0.000057387017,0.00484047],"genre_scores_gemma":[0.82592696,0.0012142335,0.16030811,0.0003146636,0.00014536665,0.0009405276,0.00012113645,0.000101452664,0.010927628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976185,0.0012404199,0.00008171611,0.00026405294,0.0005116749,0.00028373164],"domain_scores_gemma":[0.9950375,0.003601134,0.000489018,0.00017705567,0.00054292724,0.00015235668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037863732,0.0019379735,0.0011100825,0.0011709271,0.00070499093,0.0015521101,0.0018205158,0.001612956,0.0035701885],"category_scores_gemma":[0.0108930245,0.0007242696,0.0014573559,0.0008348878,0.0022814253,0.0020509348,0.0014277969,0.0025288167,0.00042964568],"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":[0.0000430722,0.00008957664,0.0006205926,0.00011197914,0.000079947786,0.00021145493,0.00024109203,0.7124253,0.002175174,0.27545008,0.0009430453,0.0076086945],"study_design_scores_gemma":[0.000006802788,0.000021621874,0.00005938034,0.000006862436,0.000008109449,0.000013194669,0.000015422776,0.96983624,0.0001036828,0.029525263,0.00039616958,0.000007386371],"about_ca_topic_score_codex":0.0065277945,"about_ca_topic_score_gemma":0.004671344,"teacher_disagreement_score":0.0065277945,"about_ca_system_score_codex":0.0031192296,"about_ca_system_score_gemma":0.0025461146,"threshold_uncertainty_score":0.022631705},"labels":[],"label_agreement":null},{"id":"W2493256317","doi":"10.1109/tvt.2015.2453405","title":"Transmit Power Optimization for Amplify-and-Forward Relay Networks With Reduced Overheads","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Relay; Transmitter power output; Channel state information; Computer science; Power control; Node (physics); Power optimization; Transmission (telecommunications); Overhead (engineering); Power (physics); Optimization problem; Channel (broadcasting); Wireless; Computer network; Electronic engineering; Engineering; Telecommunications; Power consumption; Transmitter; Algorithm","score_opus":0.022123567599562743,"score_gpt":0.25279766471395143,"score_spread":0.2306740971143887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493256317","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":[0.027887069,0.000434742,0.9689395,0.00013547132,0.000015043557,0.000029826238,0.00002469696,0.00012327079,0.0024103916],"genre_scores_gemma":[0.9391464,0.00047659516,0.058454234,0.000056897487,0.000023866387,0.00007954059,0.00002471348,0.000030262037,0.0017074848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994505,0.00022293808,0.000024839832,0.00008621636,0.000147661,0.000067927656],"domain_scores_gemma":[0.9994816,0.0003181766,0.000076332966,0.00003265977,0.00007426785,0.000017009625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009580527,0.0009094133,0.0007128185,0.0003424351,0.00030038028,0.00080766244,0.00073205814,0.00051348493,0.0008939029],"category_scores_gemma":[0.0016334933,0.00038622943,0.00042561468,0.00041271647,0.0005649256,0.0008806537,0.0005288682,0.00054309395,0.00016001184],"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":[0.00007530546,0.000037380836,0.00024727202,0.0000685768,0.000027279868,0.00010534457,0.00007811867,0.9509161,0.0074247676,0.019695979,0.00046398444,0.020859879],"study_design_scores_gemma":[0.0000064022906,0.000039758284,0.00005616342,0.0000029858036,0.00000790741,0.000022673015,0.000009377457,0.99517655,0.0010454035,0.0034268259,0.00020238962,0.0000035433702],"about_ca_topic_score_codex":0.0017829287,"about_ca_topic_score_gemma":0.0016389474,"teacher_disagreement_score":0.0017829287,"about_ca_system_score_codex":0.0009301525,"about_ca_system_score_gemma":0.0008652321,"threshold_uncertainty_score":0.006748736},"labels":[],"label_agreement":null},{"id":"W2493307690","doi":"10.1109/tvt.2015.2457680","title":"Toward a Comprehensive Model for Performance Analysis of Opportunistic Routing in Wireless Mesh Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":28,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Network packet; Wireless mesh network; Distributed computing; Routing protocol; Routing (electronic design automation); Reliability (semiconductor); Forwarder; Wireless network; Wireless; Source routing; Dynamic Source Routing; Telecommunications","score_opus":0.09169604456826168,"score_gpt":0.294165015478959,"score_spread":0.20246897091069732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493307690","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":[0.009621204,0.00069260574,0.98228097,0.00069949403,0.00005745143,0.0000658085,0.0001454666,0.00013589647,0.0063011195],"genre_scores_gemma":[0.81392646,0.004653584,0.17157148,0.00047335977,0.0004676866,0.00069671904,0.00040125143,0.00018062549,0.0076287626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986119,0.0006080839,0.00005448529,0.00012639342,0.00043202584,0.00016709666],"domain_scores_gemma":[0.9971409,0.0019181991,0.00028879652,0.00022047384,0.00035926295,0.00007239653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025918165,0.0010161898,0.00097377336,0.0010188799,0.0006015506,0.001510609,0.0019788397,0.001491349,0.0014101067],"category_scores_gemma":[0.008458686,0.0005015219,0.00088259875,0.001392831,0.0012073973,0.0030241753,0.0013204211,0.0018399442,0.00039679944],"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":[0.000014562212,0.00002971331,0.00034678585,0.000042290336,0.000018667282,0.000073485,0.00006836894,0.83634967,0.00083502656,0.15687157,0.00093775295,0.004412097],"study_design_scores_gemma":[0.0000027764627,0.000010722962,0.000055266843,0.00000803557,0.000004596161,0.000012797906,0.000009501775,0.9694789,0.00007355835,0.029730327,0.00060829514,0.000005303879],"about_ca_topic_score_codex":0.0051504746,"about_ca_topic_score_gemma":0.002965835,"teacher_disagreement_score":0.0051504746,"about_ca_system_score_codex":0.0021477737,"about_ca_system_score_gemma":0.0015754617,"threshold_uncertainty_score":0.015583277},"labels":[],"label_agreement":null},{"id":"W2498783604","doi":"10.1109/tvt.2016.2594031","title":"Performance of Massive MIMO Uplink With Zero-Forcing Receivers Under Delayed Channels","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Vetenskapsrådet; Queen's University; Queen's University Belfast; European Commission","keywords":"Telecommunications link; MIMO; Base station; Channel (broadcasting); Ergodic theory; Probability density function; Transmitter power output; Scaling; Signal-to-noise ratio (imaging)","score_opus":0.006496169765349037,"score_gpt":0.1930280247955602,"score_spread":0.18653185503021116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498783604","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":[0.8640015,0.0009610055,0.12858169,0.00026893304,0.000068476,0.000018950634,0.00015659089,0.00031014314,0.0056326347],"genre_scores_gemma":[0.99748355,0.00010179022,0.002065204,0.00002186911,0.000010132102,0.000004700564,0.000025865655,0.0000059270883,0.00028104428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991762,0.00025262873,0.000029321114,0.000102424914,0.00022475029,0.00021462703],"domain_scores_gemma":[0.9966186,0.0020997035,0.00033403188,0.00027667455,0.0005557366,0.00011510458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011704916,0.0009208048,0.00077187887,0.00034435643,0.00059719564,0.00086591876,0.00062812335,0.0009657209,0.00070537534],"category_scores_gemma":[0.004630608,0.00026535804,0.00033092004,0.00039941733,0.0010691936,0.00074805756,0.0009375013,0.00052776077,0.00018396656],"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":[0.00036034355,0.000043658303,0.00317453,0.00008941049,0.000052873675,0.00033377763,0.00011146603,0.9698859,0.0145334285,0.0040569976,0.00022830984,0.0071293],"study_design_scores_gemma":[0.0000109808625,0.00018050446,0.0012805556,0.000010305271,0.000025113113,0.000121493125,0.000050567927,0.9899192,0.0072360747,0.001064652,0.000079987534,0.00002065175],"about_ca_topic_score_codex":0.0032603366,"about_ca_topic_score_gemma":0.0018973291,"teacher_disagreement_score":0.0032603366,"about_ca_system_score_codex":0.00074633583,"about_ca_system_score_gemma":0.0008163105,"threshold_uncertainty_score":0.0064827204},"labels":[],"label_agreement":null},{"id":"W2507894885","doi":"10.1109/tvt.2015.2476504","title":"GeoMobCon: A Mobility-Contact-Aware Geocast Scheme for Urban VANETs","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":17,"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":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Scheme (mathematics); Computer network; Computer science; Geocast; Wireless ad hoc network; Vehicular ad hoc network; Telecommunications; Wireless","score_opus":0.028799427883868155,"score_gpt":0.24998355233053432,"score_spread":0.22118412444666616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507894885","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":[0.064718954,0.0016952485,0.9152838,0.0005067991,0.0006360494,0.0005882909,0.00045276847,0.0025721015,0.013546005],"genre_scores_gemma":[0.88575083,0.0009810545,0.1047462,0.00019323155,0.000105313564,0.0002180103,0.00082353473,0.00010569057,0.007076139],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972314,0.000056579287,0.000015035604,0.00003668338,0.00010697961,0.00006149524],"domain_scores_gemma":[0.99963677,0.000059843955,0.00005359821,0.0000786052,0.00011089974,0.00006015999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041389826,0.00047454907,0.00066621613,0.0008741345,0.0007878461,0.0006127703,0.0015108623,0.0005268714,0.0011157288],"category_scores_gemma":[0.0010321229,0.00018441476,0.0002344602,0.0008997678,0.0004190337,0.0008297086,0.0017339685,0.00054917316,0.0002855242],"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":[0.0010535074,0.00028794273,0.0024563826,0.0004280848,0.00014144937,0.0005451423,0.0005801661,0.34800664,0.055776376,0.10533191,0.021903891,0.46348855],"study_design_scores_gemma":[0.00009763777,0.0002431858,0.0007249408,0.00003738577,0.00004044278,0.00040632425,0.00015120053,0.9354037,0.014191608,0.010503027,0.03813927,0.00006123631],"about_ca_topic_score_codex":0.0057802578,"about_ca_topic_score_gemma":0.008877953,"teacher_disagreement_score":0.0057802578,"about_ca_system_score_codex":0.0008663482,"about_ca_system_score_gemma":0.0011094376,"threshold_uncertainty_score":0.011493206},"labels":[],"label_agreement":null},{"id":"W2513015010","doi":"10.1109/tvt.2016.2606607","title":"Analysis, Prototyping, and Experimental Characterization of an Adaptive Hybrid Electromagnetic Damper for Automotive Suspension Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":63,"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 Waterloo","funders":"Simon Fraser University; Canada Research Chairs","keywords":"Damper; Engineering; Shock absorber; Suspension (topology); Hybrid vehicle; Automotive industry; Control engineering; Control theory (sociology); Computer science; Mechanical engineering","score_opus":0.006318262321028993,"score_gpt":0.20680998132640127,"score_spread":0.20049171900537227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513015010","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":[0.7463341,0.0007186975,0.24359067,0.00031851613,0.00022250434,0.00038631857,0.0001557022,0.001009436,0.007264013],"genre_scores_gemma":[0.96178657,0.00015383365,0.035417713,0.000029340548,0.000012944984,0.00011730994,0.000054666474,0.000027537671,0.0024000832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994549,0.00007567251,0.000024627698,0.00007550168,0.0003249717,0.00004428173],"domain_scores_gemma":[0.9992987,0.00019809314,0.00011587522,0.00011977752,0.00021320969,0.000054234526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076727744,0.00028587502,0.00028120118,0.00036461547,0.0002191136,0.00044104562,0.0007385218,0.00052356854,0.0016547401],"category_scores_gemma":[0.0012108842,0.00012799025,0.00022936321,0.0001302501,0.0004508469,0.0005513521,0.00039560514,0.00036058214,0.0003694424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016700385,0.00014566557,0.001107413,0.0004121226,0.000023452329,0.00030353115,0.00039019843,0.008679838,0.9551471,0.0018565515,0.0004671079,0.031299952],"study_design_scores_gemma":[0.00009376902,0.003406456,0.007576442,0.00007559743,0.000048514736,0.00044756036,0.00024810978,0.07296231,0.89503807,0.00048036643,0.019561782,0.00006103966],"about_ca_topic_score_codex":0.00017446397,"about_ca_topic_score_gemma":0.00024148822,"teacher_disagreement_score":0.0016547401,"about_ca_system_score_codex":0.00023002195,"about_ca_system_score_gemma":0.00019814869,"threshold_uncertainty_score":0.005535662},"labels":[],"label_agreement":null},{"id":"W2515162970","doi":"10.1109/tvt.2016.2607159","title":"On the Spectral Efficiency of Selective Decode-and-Forward Relaying","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","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":"Carleton University","funders":"","keywords":"Spectral efficiency; Transmission (telecommunications); Computer science; Channel (broadcasting); Modulation (music); Decoding methods; Link adaptation; Transmitter power output; Electronic engineering; Algorithm; Computer network; Telecommunications; Fading; Engineering; Transmitter; Physics","score_opus":0.014855763393041422,"score_gpt":0.24097852563957886,"score_spread":0.22612276224653743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515162970","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":[0.16589409,0.0035410458,0.7915499,0.0006121235,0.000070123344,0.000054758606,0.000113202754,0.00014102478,0.038023617],"genre_scores_gemma":[0.96981514,0.002528189,0.025713958,0.000113104536,0.000055087334,0.000059473412,0.00004676231,0.00003757006,0.0016307547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990276,0.00036026965,0.000035616325,0.0001177161,0.0003387766,0.00011992605],"domain_scores_gemma":[0.99563855,0.0034481958,0.00022381256,0.00025937567,0.0003998331,0.000030243467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014610814,0.000769843,0.00066083216,0.00066864304,0.0004055819,0.0009243314,0.0007250766,0.0006167978,0.0012304145],"category_scores_gemma":[0.0066408487,0.0003230784,0.00030362228,0.0007928862,0.0011571203,0.0015009979,0.0009360116,0.0006442871,0.00033487476],"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":[0.00021309935,0.000095545365,0.0012040258,0.0001841195,0.00004965169,0.0002546096,0.00020159956,0.760674,0.019919831,0.14831425,0.0012084565,0.067680776],"study_design_scores_gemma":[0.000018939458,0.00009597881,0.00057055097,0.000055754677,0.000028602284,0.00020347083,0.00005188439,0.9551324,0.01068313,0.031466138,0.0016667154,0.000026443327],"about_ca_topic_score_codex":0.0011592683,"about_ca_topic_score_gemma":0.0011174765,"teacher_disagreement_score":0.0014610814,"about_ca_system_score_codex":0.0010704186,"about_ca_system_score_gemma":0.00055435946,"threshold_uncertainty_score":0.007766485},"labels":[],"label_agreement":null},{"id":"W2516177097","doi":"10.1109/tvt.2016.2598488","title":"CRB: Cooperative Relay Broadcasting for Safety Applications in Vehicular Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":43,"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 Waterloo","funders":"","keywords":"Computer network; Computer science; Broadcasting (networking); Network packet; Relay; Dissemination; Node (physics); Reliability (semiconductor); Channel (broadcasting); Broadcast radiation; Transmission (telecommunications); Service (business); Telecommunications; Engineering","score_opus":0.006856571632399296,"score_gpt":0.21326119887721803,"score_spread":0.20640462724481873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516177097","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":[0.033219293,0.0021855885,0.9525412,0.00038584994,0.00011841592,0.00019001294,0.0001795472,0.0016158526,0.009564324],"genre_scores_gemma":[0.90314406,0.0013757589,0.09014793,0.00016997891,0.00007609987,0.00015655579,0.000290868,0.00012603121,0.0045127035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993649,0.00014092495,0.000021810225,0.0001040855,0.0002768967,0.00009141765],"domain_scores_gemma":[0.999446,0.00018422722,0.00010601762,0.000069119684,0.00015188045,0.000042721986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068349065,0.0006721369,0.0005985892,0.0007225809,0.0005468902,0.0007022862,0.0012120416,0.00058747944,0.0016994186],"category_scores_gemma":[0.0016744073,0.00020962789,0.00027875078,0.0008164436,0.00056086417,0.0006154596,0.0009189038,0.0004917713,0.00062185316],"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":[0.00048745473,0.00020237827,0.0016116342,0.0008565269,0.00011144396,0.0006623545,0.00041569665,0.4895991,0.075302176,0.07445353,0.016006371,0.34029132],"study_design_scores_gemma":[0.000057380024,0.00044799087,0.00065416534,0.000039502396,0.00003684171,0.00051879516,0.000080145044,0.9620994,0.01062198,0.013774648,0.011634298,0.000034802415],"about_ca_topic_score_codex":0.0045610685,"about_ca_topic_score_gemma":0.004425503,"teacher_disagreement_score":0.0045610685,"about_ca_system_score_codex":0.00069993193,"about_ca_system_score_gemma":0.0011050991,"threshold_uncertainty_score":0.0090690255},"labels":[],"label_agreement":null},{"id":"W2520571173","doi":"10.1109/tvt.2015.2482898","title":"Bridge Performance in Asynchronous Cognitive Personal Area Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bridging (networking); Computer network; Computer science; Cognitive network; Queueing theory; Network packet; Routing protocol; Asynchronous communication; Bridge (graph theory); Distributed computing; Cognitive radio; Wireless; Telecommunications","score_opus":0.019904118344111384,"score_gpt":0.23052112381416565,"score_spread":0.21061700547005427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520571173","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":[0.9531826,0.00019972082,0.042988792,0.00014715246,0.00004796505,0.000025159887,0.000035666362,0.00019072603,0.0031822282],"genre_scores_gemma":[0.99895203,0.00002827924,0.00074776873,0.000019684096,0.000004600422,0.000009197278,0.000016164926,0.000005850903,0.00021635405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990062,0.00021890893,0.00003974651,0.00017380506,0.00031088793,0.0002503196],"domain_scores_gemma":[0.9924379,0.005220805,0.00056550826,0.00048037834,0.00095595064,0.00033952875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002759132,0.0004995927,0.00060466497,0.00068686175,0.00080894615,0.0009874762,0.00091436185,0.00097634393,0.0010579939],"category_scores_gemma":[0.012614194,0.00026398126,0.00021040626,0.00037547652,0.00089021196,0.0015352088,0.0013960009,0.0006425842,0.00022053841],"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":[0.0019493038,0.00056232803,0.008410807,0.00020912387,0.00013163191,0.0004013783,0.0008238701,0.8655658,0.049442984,0.02184069,0.0015136811,0.049148478],"study_design_scores_gemma":[0.00004522915,0.00061292056,0.0015611717,0.000008865134,0.000026096886,0.00008412465,0.00013125988,0.9863462,0.0060719396,0.0049414407,0.0001465595,0.000024146035],"about_ca_topic_score_codex":0.0021445916,"about_ca_topic_score_gemma":0.0012113814,"teacher_disagreement_score":0.002759132,"about_ca_system_score_codex":0.0010270693,"about_ca_system_score_gemma":0.0008110467,"threshold_uncertainty_score":0.014591813},"labels":[],"label_agreement":null},{"id":"W2520614761","doi":"10.1109/tvt.2015.2480740","title":"Coverage and Rate Analysis for Limited Information Cell Association in Stochastic-Layout Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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 Alberta","funders":"Mitacs","keywords":"Base station; Computer science; Telecommunications link; Cellular network; Path loss; Coverage probability; Multipath propagation; Interference (communication); Fading; Signal-to-interference ratio; Transmitter power output; Power (physics); Channel (broadcasting); Computer network; Real-time computing; Telecommunications; Statistics; Wireless; Mathematics; Transmitter","score_opus":0.0064235319102953084,"score_gpt":0.19167101064525285,"score_spread":0.18524747873495753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520614761","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":[0.13074198,0.0020290376,0.8561661,0.00069610646,0.000045875666,0.0000886696,0.00037847608,0.0003919367,0.009461718],"genre_scores_gemma":[0.97885954,0.0012281359,0.017270425,0.0001057813,0.00006619031,0.000112100126,0.0002369512,0.000073201256,0.0020477795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983005,0.00065445254,0.000054874872,0.0001702635,0.00048109493,0.0003387561],"domain_scores_gemma":[0.9837209,0.012451902,0.001613288,0.0005945985,0.0012948171,0.00032453638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033687379,0.0011640504,0.0011244714,0.001761961,0.000565311,0.0013562746,0.0017003816,0.0009972693,0.0018858704],"category_scores_gemma":[0.018880071,0.00071765383,0.000850725,0.0014236633,0.0017499102,0.0015538823,0.0015881592,0.00096354005,0.00039503345],"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":[0.000053971227,0.000016570468,0.0011045508,0.000043585478,0.000017460856,0.000088198554,0.00005760586,0.9792157,0.0011923026,0.014989578,0.00037648232,0.002843981],"study_design_scores_gemma":[0.0000030533854,0.000012944794,0.0003173284,0.0000072464018,0.000006538417,0.000037755246,0.00001322821,0.9965359,0.00024258706,0.002695646,0.0001212323,0.0000065483764],"about_ca_topic_score_codex":0.006494497,"about_ca_topic_score_gemma":0.0028173926,"teacher_disagreement_score":0.006494497,"about_ca_system_score_codex":0.00247281,"about_ca_system_score_gemma":0.000739054,"threshold_uncertainty_score":0.017941535},"labels":[],"label_agreement":null},{"id":"W2529432490","doi":"10.1109/tvt.2016.2615630","title":"2DTriPnP: A Robust Two-Dimensional Method for Fine Visual Localization Using Google Streetview Database","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"RANSAC; Computer science; Set (abstract data type); Artificial intelligence; Feature (linguistics); Computer vision; Global Positioning System; Triangulation; Perspective (graphical); Robustness (evolution); Image (mathematics); Database; Pattern recognition (psychology); Mathematics","score_opus":0.02212919420607481,"score_gpt":0.2772667318030127,"score_spread":0.2551375375969379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529432490","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003427808,0.00020490024,0.9898093,0.000052390093,0.0000742433,0.00011608759,0.00047215587,0.0046283286,0.0012147321],"genre_scores_gemma":[0.089445285,0.0004988093,0.89963764,0.00016115382,0.00007565556,0.00047502443,0.0048976764,0.0010257289,0.0037831406],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983675,0.00015857298,0.000083619016,0.00038457796,0.0008600249,0.00014566527],"domain_scores_gemma":[0.99939334,0.00006886871,0.0000732298,0.0001533519,0.0002709801,0.000040073384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161882,0.0016242695,0.0015803033,0.00313263,0.00070992444,0.0015326695,0.002812233,0.0011781091,0.0064022494],"category_scores_gemma":[0.0020591589,0.00090702757,0.0014624692,0.0023749773,0.00041317547,0.0017348471,0.0027609249,0.0014711987,0.0053971056],"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":[0.00025522592,0.00010222116,0.0013265397,0.0002914421,0.000119844415,0.00031442748,0.00022009236,0.025989657,0.027162634,0.0045539034,0.020155307,0.9195086],"study_design_scores_gemma":[0.00007435806,0.0000901464,0.0021261896,0.000057781963,0.000041599025,0.0006860976,0.00024072536,0.93587387,0.02144832,0.0042753927,0.034972724,0.00011276579],"about_ca_topic_score_codex":0.010046728,"about_ca_topic_score_gemma":0.010368093,"teacher_disagreement_score":0.010046728,"about_ca_system_score_codex":0.0005568338,"about_ca_system_score_gemma":0.0014356476,"threshold_uncertainty_score":0.021417677},"labels":[],"label_agreement":null},{"id":"W2538347698","doi":"10.1109/tvt.2016.2619915","title":"Estimation of Synchromesh Frictional Torque and Output Torque in a Clutchless Automated Manual Transmission of a Parallel Hybrid Electric Vehicle","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Control theory (sociology); Torque; Powertrain; Traction control system; Observer (physics); Damping torque; Direct torque control; Stall torque; Engineering; Electric motor; Computer science; Automotive engineering; Induction motor; Voltage; Physics; Mechanical engineering","score_opus":0.005226650124762967,"score_gpt":0.2137932391613489,"score_spread":0.20856658903658593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538347698","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":[0.66566324,0.00016922991,0.33216482,0.00005683985,0.00003097505,0.00005431792,0.000042590895,0.00045182992,0.0013661666],"genre_scores_gemma":[0.99618286,0.000023246906,0.0034237774,0.000004056473,0.0000019569873,0.000008755884,0.000018749304,0.0000043069103,0.00033225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997645,0.00003511545,0.000017074288,0.000052889667,0.000105326406,0.000025142137],"domain_scores_gemma":[0.99939346,0.00021583292,0.00015730193,0.00005677052,0.00015203943,0.000024606768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042934984,0.000532259,0.00043074947,0.00035314038,0.00020357774,0.00046777524,0.0004161617,0.00035945862,0.00035049857],"category_scores_gemma":[0.0014896252,0.00021275769,0.00022426792,0.00020552949,0.00024727365,0.00028418313,0.00041207214,0.00034058906,0.00009794517],"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":[0.0009689759,0.00023407771,0.01571971,0.0005829618,0.00013694659,0.00077747623,0.0007355033,0.7141556,0.095781885,0.0012392126,0.0005579734,0.1691097],"study_design_scores_gemma":[0.00002609996,0.0003387,0.008216225,0.000015442656,0.000025745727,0.0000876029,0.000111748726,0.9726638,0.01781855,0.00022186321,0.0004530596,0.000021055637],"about_ca_topic_score_codex":0.005421757,"about_ca_topic_score_gemma":0.003914723,"teacher_disagreement_score":0.005421757,"about_ca_system_score_codex":0.00021576956,"about_ca_system_score_gemma":0.00039152204,"threshold_uncertainty_score":0.010780394},"labels":[],"label_agreement":null},{"id":"W2540923637","doi":"10.1109/tvt.2016.2622180","title":"A Reinforcement Learning Technique for Optimizing Downlink Scheduling in an Energy-Limited Vehicular Network","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":86,"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","funders":"","keywords":"Reinforcement learning; Scheduling (production processes); Computer science; Computer network; Telecommunications link; Quality of service; Real-time computing; Distributed computing; Engineering; Artificial intelligence","score_opus":0.00916894226873928,"score_gpt":0.21860642731338317,"score_spread":0.20943748504464388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540923637","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":[0.04922314,0.00017503614,0.9476657,0.00020089305,0.00003095172,0.00006327472,0.000016856908,0.00023610586,0.0023880734],"genre_scores_gemma":[0.9541301,0.000081341124,0.044594444,0.000062536616,0.000016630842,0.00008437481,0.000018515182,0.0000164995,0.0009955554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967945,0.00012182762,0.0000150688375,0.000051874053,0.00006963947,0.000062284846],"domain_scores_gemma":[0.9988172,0.00073906366,0.00015985059,0.000039099396,0.00017957731,0.000065141205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001133399,0.0006555398,0.00066263904,0.00031189303,0.0003040536,0.0004229572,0.00080333225,0.0005845878,0.0008218517],"category_scores_gemma":[0.0032534297,0.00027719935,0.00024425678,0.00024218504,0.00074397546,0.00045103946,0.0005824621,0.00083145255,0.00010334338],"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":[0.00002175559,0.000017652168,0.00018931486,0.000012226285,0.000006974478,0.000015183127,0.00001320636,0.9916123,0.00051830633,0.0010601113,0.000094686,0.006438206],"study_design_scores_gemma":[0.0000044500075,0.000018240611,0.000023672375,0.0000013288684,0.0000013894596,0.0000022231277,0.0000019178162,0.99945897,0.00011744302,0.00032004007,0.00004922275,0.0000010085078],"about_ca_topic_score_codex":0.007303452,"about_ca_topic_score_gemma":0.004327194,"teacher_disagreement_score":0.007303452,"about_ca_system_score_codex":0.00093556446,"about_ca_system_score_gemma":0.0011793491,"threshold_uncertainty_score":0.014521897},"labels":[],"label_agreement":null},{"id":"W2546895355","doi":"10.1109/tvt.2016.2625326","title":"Head-of-Line Access Delay-Based Scheduling Algorithm for Flow-Level Dynamics","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":9,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scheduling (production processes); Round-robin scheduling; Dynamic priority scheduling; Fair-share scheduling; Queue; Algorithm; Rate-monotonic scheduling; Real-time computing; Distributed computing; Mathematical optimization; Computer network; Mathematics; Quality of service","score_opus":0.02045145612279852,"score_gpt":0.27381201895442375,"score_spread":0.2533605628316252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546895355","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":[0.01546013,0.00012281348,0.98296446,0.00010880609,0.00004431294,0.00004278123,0.000027971339,0.00024786728,0.0009807685],"genre_scores_gemma":[0.7800578,0.00018410046,0.21690732,0.000116858326,0.000062125575,0.00014392404,0.00011227581,0.00006608455,0.0023495797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995012,0.00011832907,0.000028785602,0.000118806136,0.00012759598,0.00010514844],"domain_scores_gemma":[0.9986486,0.0007014228,0.00016179762,0.00012181253,0.00026560592,0.00010086795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010322547,0.00058413437,0.00070732506,0.00051431666,0.0007090853,0.000861354,0.0012660085,0.0005840509,0.0020133876],"category_scores_gemma":[0.0030475697,0.00025345682,0.00031637747,0.0006949089,0.0006719,0.0010424947,0.00091957726,0.0010107533,0.0003488729],"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":[0.00027288237,0.00013130365,0.0012999868,0.00008442392,0.00003944948,0.00004647673,0.00012419575,0.8195065,0.0069037434,0.032580543,0.0023724593,0.13663799],"study_design_scores_gemma":[0.00001288342,0.000026107457,0.000046252022,0.0000019119623,0.0000039223023,0.000011808812,0.0000054461907,0.99597687,0.0008711612,0.0026688057,0.00037079013,0.000004090254],"about_ca_topic_score_codex":0.0033212393,"about_ca_topic_score_gemma":0.003273029,"teacher_disagreement_score":0.0033212393,"about_ca_system_score_codex":0.0016727948,"about_ca_system_score_gemma":0.0026374338,"threshold_uncertainty_score":0.012136996},"labels":[],"label_agreement":null},{"id":"W2549221151","doi":"10.1109/tvt.2016.2627338","title":"Space-Time Network Coding With Multiple AF Relays Over Nakagami- $m$ Fading Channels","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","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":"University of Victoria","funders":"National Key Research and Development Program of China; Natural Science Foundation of Beijing Municipality; Southeast University; National Natural Science Foundation of China","keywords":"Fading; Nakagami distribution; Independent and identically distributed random variables; Moment-generating function; QAM; Mathematics; Phase-shift keying; Keying; Linear network coding; Topology (electrical circuits); Relay; Telecommunications; Quadrature amplitude modulation; Algorithm; Computer science; Bit error rate; Decoding methods; Statistics; Computer network; Random variable; Physics; Combinatorics","score_opus":0.01460310336437071,"score_gpt":0.22816301755096,"score_spread":0.2135599141865893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549221151","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":[0.13637233,0.0012402431,0.8552482,0.00021828341,0.0000549282,0.000037329326,0.000083526575,0.00017873601,0.0065664696],"genre_scores_gemma":[0.9695366,0.00069698883,0.028567974,0.000029973547,0.000027851078,0.00003657818,0.000031642678,0.0000102136555,0.001062115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934787,0.00025599307,0.000028723654,0.000062119,0.00021005307,0.00009528369],"domain_scores_gemma":[0.9979213,0.0014403109,0.00024489427,0.00012231147,0.000249415,0.000021733158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072031235,0.0007831749,0.00051309477,0.00040648342,0.00033788342,0.00066808035,0.00044826025,0.0004919368,0.00050851726],"category_scores_gemma":[0.0036889394,0.0001555012,0.000302236,0.00080429285,0.00077728933,0.001016798,0.0005775223,0.00042708375,0.00011218049],"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":[0.00008762225,0.0000114075965,0.0005207671,0.00006219021,0.00002486924,0.00016878633,0.00009172335,0.9293246,0.0050458796,0.04743595,0.00026784165,0.01695833],"study_design_scores_gemma":[0.0000030337442,0.000023784341,0.000096090145,0.0000052681107,0.0000064509627,0.00005868195,0.000010739107,0.9936226,0.0015485508,0.004399093,0.00021990595,0.000005914251],"about_ca_topic_score_codex":0.0041860347,"about_ca_topic_score_gemma":0.0040484006,"teacher_disagreement_score":0.0041860347,"about_ca_system_score_codex":0.001007942,"about_ca_system_score_gemma":0.00078408816,"threshold_uncertainty_score":0.008323312},"labels":[],"label_agreement":null},{"id":"W2550786979","doi":"10.1109/tvt.2016.2628387","title":"Low-Complexity QoS-Aware Coordinated Scheduling for Heterogeneous Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Scheduling (production processes); Quality of service; Computer science; Femtocell; Computer network; Beamforming; Distributed computing; Engineering; Base station; Telecommunications","score_opus":0.012502448902084701,"score_gpt":0.22554590328452595,"score_spread":0.21304345438244124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550786979","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":[0.021615215,0.00033451346,0.97551775,0.00009944126,0.000057308025,0.000022564902,0.000032349526,0.00015654799,0.0021642658],"genre_scores_gemma":[0.9200252,0.0002243188,0.07827635,0.00006195481,0.00007880025,0.00004400034,0.000052582873,0.000036580575,0.0012001877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991555,0.0002852198,0.000020386335,0.00015167915,0.00021278388,0.0001744475],"domain_scores_gemma":[0.9989446,0.0006516893,0.00013104556,0.00010030502,0.000108837405,0.00006365853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094409357,0.0009427318,0.0008904333,0.00034194332,0.0005761629,0.00092712475,0.00095848774,0.0004992204,0.0009874739],"category_scores_gemma":[0.0018479931,0.00033459967,0.00038728132,0.00061435305,0.00064195367,0.0007769809,0.00070186035,0.0007064928,0.00020565651],"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":[0.00007306412,0.000026559077,0.00025881722,0.000029537805,0.000023426637,0.00008893899,0.000023803497,0.9678234,0.0036101418,0.012699437,0.0005016987,0.01484128],"study_design_scores_gemma":[0.0000037418527,0.000010130953,0.00003172586,7.6434424e-7,0.0000034123411,0.000007559651,0.000004370474,0.99758637,0.0002483327,0.001980594,0.000121117395,0.0000019990187],"about_ca_topic_score_codex":0.0045229346,"about_ca_topic_score_gemma":0.005618936,"teacher_disagreement_score":0.0045229346,"about_ca_system_score_codex":0.0013047925,"about_ca_system_score_gemma":0.0011105092,"threshold_uncertainty_score":0.009466946},"labels":[],"label_agreement":null},{"id":"W2556398113","doi":"10.1109/tvt.2016.2631604","title":"Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":157,"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 Waterloo","funders":"","keywords":"Advanced driver assistance systems; Transport engineering; Context (archaeology); Engineering; Intelligent transportation system; Perception; Risk analysis (engineering); Computer science; Computer security; Systems engineering; Business","score_opus":0.012478919667857021,"score_gpt":0.20497506118963288,"score_spread":0.19249614152177585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556398113","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0211285,0.89420503,0.040213034,0.025144273,0.0017207918,0.00015522666,0.0003860302,0.00066444726,0.01638261],"genre_scores_gemma":[0.17234285,0.7461499,0.059114974,0.0068665417,0.006692157,0.0002490073,0.0015493814,0.00017171848,0.006863537],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99597543,0.00094411994,0.0003770968,0.0011935887,0.0012457167,0.0002640241],"domain_scores_gemma":[0.97344166,0.014721556,0.0014973765,0.00091987656,0.008361554,0.0010579615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008256399,0.0010264565,0.0012238048,0.0037901895,0.0008967607,0.0046931976,0.0038103668,0.003486602,0.00429334],"category_scores_gemma":[0.012170222,0.00093064364,0.0007962943,0.005003621,0.0018342207,0.01050843,0.001992389,0.0035333838,0.0021041408],"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":[0.00025806806,0.00028239517,0.01155836,0.0057657477,0.00007766771,0.00011244104,0.00061899045,0.0034132234,0.0029548595,0.018275417,0.019709652,0.93697315],"study_design_scores_gemma":[0.00006454438,0.0016166655,0.019803206,0.006199017,0.00042108176,0.002067431,0.005070398,0.050729528,0.008126039,0.033761315,0.8718285,0.0003122328],"about_ca_topic_score_codex":0.0026164039,"about_ca_topic_score_gemma":0.0022034757,"teacher_disagreement_score":0.008256399,"about_ca_system_score_codex":0.0015965588,"about_ca_system_score_gemma":0.0020095836,"threshold_uncertainty_score":0.043664575},"labels":[],"label_agreement":null},{"id":"W2556747418","doi":"10.1109/tvt.2016.2626245","title":"Uniquely Factorable Hexagonal Constellation Designs for Noncoherent SIMO Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hexagonal crystal system; Constellation; Transmitter; Quadrature amplitude modulation; QAM; Mathematics; Topology (electrical circuits); Coding (social sciences); Electronic engineering; Algorithm; Bit error rate; Computer science; Decoding methods; Telecommunications; Channel (broadcasting); Physics; Engineering; Combinatorics","score_opus":0.020468972223252762,"score_gpt":0.23354087244871885,"score_spread":0.2130719002254661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556747418","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":[0.030499103,0.00035639893,0.9657787,0.0000821284,0.00004441028,0.000043552347,0.0000448942,0.000105372324,0.003045376],"genre_scores_gemma":[0.52364665,0.00050887646,0.4739294,0.00010611699,0.00005408246,0.000091329755,0.000120858844,0.000032218406,0.0015104325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994796,0.00022596055,0.000026435573,0.000059144724,0.00015661895,0.000052372845],"domain_scores_gemma":[0.9992495,0.0002309885,0.00012775135,0.00017893176,0.00017313164,0.00003977363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043832796,0.00045045014,0.00044511806,0.00043454597,0.00030051405,0.00044441258,0.00047118674,0.00035964165,0.0013990639],"category_scores_gemma":[0.0018950297,0.00016660208,0.00021754879,0.0006269861,0.0005166134,0.00095482304,0.0006345423,0.00045169564,0.00040992507],"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":[0.00034563473,0.00008264757,0.0014464689,0.00026884233,0.000054883938,0.00025644968,0.00025955692,0.38282374,0.049892247,0.20217825,0.0020284918,0.36036286],"study_design_scores_gemma":[0.00004519362,0.00034793856,0.00033464082,0.000024250043,0.000014517501,0.000340801,0.0000995486,0.9264733,0.02637914,0.03651748,0.009376794,0.00004638225],"about_ca_topic_score_codex":0.00036919327,"about_ca_topic_score_gemma":0.0005991794,"teacher_disagreement_score":0.0013990639,"about_ca_system_score_codex":0.00034184734,"about_ca_system_score_gemma":0.0003646775,"threshold_uncertainty_score":0.0046803355},"labels":[],"label_agreement":null},{"id":"W2558519867","doi":"10.1109/tvt.2016.2633525","title":"Random Access and Virtual Resource Allocation in Software-Defined Cellular Networks With Machine-to-Machine Communications","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":43,"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":"National Natural Science Foundation of China","keywords":"Computer science; Quality of service; Computer network; Virtualization; Network virtualization; Random access; Hypervisor; Machine to machine; Virtual machine; Distributed computing; Wireless network; Resource allocation; Radio access network; Virtual network; Software-defined networking; Radio resource management; Wireless; Embedded system; Cloud computing; Operating system; Base station","score_opus":0.008807893564834175,"score_gpt":0.2249306539201644,"score_spread":0.21612276035533023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558519867","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":[0.0591521,0.00085786456,0.93765295,0.00025421602,0.00007202512,0.000048470574,0.000018273746,0.00020617417,0.0017380284],"genre_scores_gemma":[0.9799003,0.00016522252,0.019302575,0.000057688478,0.000033742966,0.00004574999,0.000008753349,0.000012750121,0.0004732375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755365,0.001257284,0.00008443243,0.00031026689,0.0004209914,0.00037344111],"domain_scores_gemma":[0.9969823,0.0019353792,0.0003873144,0.00021906942,0.00031576428,0.00016017468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022251594,0.00074724853,0.00083567254,0.000566766,0.0007262626,0.0011049749,0.0012434283,0.0006765598,0.0006173657],"category_scores_gemma":[0.0046393904,0.0003542163,0.0004330701,0.0006405083,0.0013826822,0.0012685934,0.0011313657,0.0006783304,0.0000917304],"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":[0.00020091659,0.00005150791,0.00059175794,0.000050136736,0.000050924817,0.00013683431,0.00008744844,0.93918586,0.0035233356,0.034848023,0.0005727824,0.020700453],"study_design_scores_gemma":[0.000008072897,0.00002965137,0.00005892269,0.0000021044755,0.00000873363,0.000023136487,0.000008698801,0.99525,0.0004153906,0.0039699986,0.00021934714,0.000005886571],"about_ca_topic_score_codex":0.0034281702,"about_ca_topic_score_gemma":0.00336058,"teacher_disagreement_score":0.0034281702,"about_ca_system_score_codex":0.001512571,"about_ca_system_score_gemma":0.0011889281,"threshold_uncertainty_score":0.011767924},"labels":[],"label_agreement":null},{"id":"W2563209134","doi":"10.1109/tvt.2016.2639100","title":"Low Complexity ZF and MMSE Detectors for the Uplink MU-MIMO Systems With a Time-Varying Number of Active Users","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":22,"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 Laval","funders":"","keywords":"Minimum mean square error; Telecommunications link; Detector; MIMO; Computer science; Computational complexity theory; Algorithm; Computation; Channel (broadcasting); Monte Carlo method; Control theory (sociology); Real-time computing; Mathematics; Telecommunications; Statistics; Control (management); Estimator","score_opus":0.023586167023992684,"score_gpt":0.27087027190280655,"score_spread":0.24728410487881386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563209134","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":[0.011580767,0.00049907994,0.98683083,0.00008810154,0.000026690319,0.000021126529,0.00002397518,0.00013853563,0.000790793],"genre_scores_gemma":[0.51711714,0.00131773,0.4782441,0.0001274683,0.00013211332,0.000086134365,0.000082159655,0.000024073828,0.0028690381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937624,0.00016963018,0.00002616428,0.000069090536,0.00030638237,0.00005243279],"domain_scores_gemma":[0.9990657,0.00053399376,0.0001260122,0.00007758701,0.00017560486,0.000021145928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097571063,0.0006157468,0.0006473088,0.00040658066,0.00034946008,0.00067191466,0.00064323796,0.0007505711,0.00068712723],"category_scores_gemma":[0.0036217596,0.00030282614,0.00035553842,0.00039510577,0.00043941906,0.0007793074,0.00055980077,0.0007417688,0.00029120286],"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":[0.00055135286,0.00010835961,0.001830589,0.00035051335,0.00011202012,0.00026712762,0.00020567067,0.60411894,0.03709318,0.06105185,0.0021518818,0.29215857],"study_design_scores_gemma":[0.00003083588,0.00012739972,0.00033915424,0.0000132610185,0.00002865992,0.00012707489,0.000018225172,0.9849845,0.008902709,0.004310903,0.0011012324,0.000015998785],"about_ca_topic_score_codex":0.0010994378,"about_ca_topic_score_gemma":0.0021476694,"teacher_disagreement_score":0.0010994378,"about_ca_system_score_codex":0.00058081176,"about_ca_system_score_gemma":0.0009769393,"threshold_uncertainty_score":0.005160153},"labels":[],"label_agreement":null},{"id":"W2564180036","doi":"10.1109/tvt.2016.2645702","title":"Minimizing Secrecy Outage Probability in Multiuser Wireless Systems With Stochastic Traffic","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Wireless; Secrecy; Wireless network; Scheduling (production processes); Computer network; Reliability (semiconductor); Channel (broadcasting); Mathematical optimization; Distributed computing; Computer security; Telecommunications; Mathematics","score_opus":0.01183439360668706,"score_gpt":0.21203275788973022,"score_spread":0.20019836428304316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564180036","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":[0.08654671,0.00040587678,0.9090759,0.00047008297,0.000034733945,0.000042553715,0.00008454081,0.00021178936,0.0031278238],"genre_scores_gemma":[0.97081316,0.0004068301,0.027628848,0.0000609526,0.00005231552,0.000062976265,0.000049566403,0.00004628555,0.00087906996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998106,0.00086146995,0.00008962625,0.00021410924,0.00038650067,0.000342347],"domain_scores_gemma":[0.9894084,0.008503113,0.0008717847,0.00040124494,0.000568901,0.00024667112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028116729,0.0013714508,0.0013896484,0.00076296425,0.00069326215,0.0017943642,0.0010776412,0.0010599348,0.0010113453],"category_scores_gemma":[0.008810568,0.00066777604,0.000532208,0.0013522969,0.0016736925,0.0018697992,0.0016151698,0.0009710305,0.0001900908],"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":[0.00005449344,0.00001969562,0.00039203634,0.000047084824,0.00001716548,0.00008177112,0.00004274943,0.9772081,0.001326481,0.016358882,0.0002405368,0.0042110714],"study_design_scores_gemma":[0.000007066633,0.000017781396,0.0000936563,0.0000046034133,0.0000055450396,0.000021770145,0.000012552172,0.9926468,0.00063929654,0.006464131,0.00008140672,0.0000053091385],"about_ca_topic_score_codex":0.0024168189,"about_ca_topic_score_gemma":0.0015159011,"teacher_disagreement_score":0.0028116729,"about_ca_system_score_codex":0.0020564192,"about_ca_system_score_gemma":0.0018152525,"threshold_uncertainty_score":0.0149204135},"labels":[],"label_agreement":null},{"id":"W2569787515","doi":"10.1109/tvt.2017.2649562","title":"Antenna Selection for Dual-Hop Cognitive Radio Networks: A Multiple-Relay Scenario","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Relay; Hop (telecommunications); Selection (genetic algorithm); Computer network; Dual (grammatical number); Computer science; Radio networks; Telecommunications; Wireless; Electrical engineering; Engineering; Electronic engineering; Wireless network; Physics; Power (physics); Artificial intelligence","score_opus":0.028144246085536687,"score_gpt":0.2795289724166536,"score_spread":0.2513847263311169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569787515","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":[0.36060885,0.0014081252,0.6221372,0.00084065634,0.00011493445,0.0000672824,0.00009343766,0.00013319007,0.014596298],"genre_scores_gemma":[0.99026525,0.00036226568,0.008172556,0.000043950873,0.00003999949,0.000021656178,0.0000127658905,0.0000086889595,0.0010729157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927336,0.00034033353,0.000015359201,0.000082254504,0.00011996036,0.00016876901],"domain_scores_gemma":[0.9983038,0.0011110796,0.0002146561,0.00010269143,0.00016735157,0.000100453224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011416167,0.0010203657,0.00077553175,0.00054154603,0.00063060067,0.0013807083,0.0012109753,0.0013808005,0.0007550008],"category_scores_gemma":[0.003387928,0.00034457206,0.0005470393,0.00074403,0.0013906539,0.0010587666,0.0010789114,0.00067941967,0.00019813885],"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":[0.00019583596,0.00005401723,0.00089118956,0.000059286613,0.00006841154,0.000587446,0.0001043646,0.9571895,0.005200338,0.03093823,0.00043667876,0.0042746756],"study_design_scores_gemma":[0.000010886838,0.000044230765,0.00013643682,0.0000030566703,0.000018899242,0.00007333316,0.000030620173,0.99403715,0.00045468792,0.005053842,0.00012742015,0.000009375362],"about_ca_topic_score_codex":0.0026831208,"about_ca_topic_score_gemma":0.002040402,"teacher_disagreement_score":0.0026831208,"about_ca_system_score_codex":0.0008220295,"about_ca_system_score_gemma":0.00043365735,"threshold_uncertainty_score":0.0060375333},"labels":[],"label_agreement":null},{"id":"W2570375860","doi":"10.1109/tvt.2017.2647813","title":"A Spectrally Efficient Signal Space Diversity-Based Two-Way Relaying System","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"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; Carleton University","funders":"Ontario Ministry of Economic Development and Innovation","keywords":"Relay; Transmission (telecommunications); Computer science; Spectral efficiency; Selection (genetic algorithm); Antenna diversity; Constellation; Optimization problem; Cooperative diversity; Topology (electrical circuits); Algorithm; Mathematics; Telecommunications; Decoding methods; Wireless; Fading; Channel (broadcasting); Power (physics)","score_opus":0.023296115586931287,"score_gpt":0.2521944293406865,"score_spread":0.2288983137537552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570375860","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":[0.040817603,0.0008794732,0.9496438,0.00038504202,0.00012821001,0.000104284816,0.000083899955,0.00037762237,0.007580117],"genre_scores_gemma":[0.77868307,0.00080111146,0.21381448,0.00019224492,0.00013216176,0.00020032276,0.00013284123,0.000020212054,0.0060235397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931,0.00022479583,0.000045548077,0.00015765942,0.00020628878,0.000055696506],"domain_scores_gemma":[0.99967575,0.00007575719,0.00006045803,0.00008295406,0.00007915109,0.000025999077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005853198,0.0006205873,0.00075015303,0.00038368005,0.0006044982,0.0010873185,0.0012242647,0.00091176067,0.0011272482],"category_scores_gemma":[0.0005920581,0.00025632224,0.00042224396,0.00048250926,0.0005091645,0.0012507008,0.0012133238,0.0006102177,0.00068826915],"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":[0.0006504164,0.0003243062,0.0014772053,0.00067239604,0.00022183578,0.0018169796,0.00064050645,0.29282162,0.2764288,0.1486549,0.006227228,0.27006376],"study_design_scores_gemma":[0.00012949354,0.0006690636,0.00043630775,0.000031785916,0.00006769041,0.0012540362,0.000040832256,0.9560038,0.018071886,0.007852607,0.015360002,0.00008259457],"about_ca_topic_score_codex":0.00039684825,"about_ca_topic_score_gemma":0.00046688257,"teacher_disagreement_score":0.0012242647,"about_ca_system_score_codex":0.00042040745,"about_ca_system_score_gemma":0.00041691595,"threshold_uncertainty_score":0.003771007},"labels":[],"label_agreement":null},{"id":"W2577045917","doi":"10.1109/tvt.2017.2655011","title":"Delay-Aware Load Balancing Over Multipath Wireless Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer network; End-to-end delay; Network packet; Transmission delay; Real-time computing; Traffic generation model; Processing delay; Network delay; Telecommunications link; Multipath propagation; Wireless network; Wireless; Channel (broadcasting); Telecommunications","score_opus":0.005849736114490459,"score_gpt":0.2181252117010734,"score_spread":0.21227547558658294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577045917","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":[0.23338322,0.001345748,0.7607978,0.00023153074,0.000089811416,0.00006736374,0.00008554465,0.0008933889,0.0031056209],"genre_scores_gemma":[0.9677385,0.00032298177,0.030985862,0.000021122707,0.000024977704,0.000027620785,0.000034298027,0.0000273222,0.00081728614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999716,0.000064834974,0.000014633609,0.000050958817,0.000078932506,0.00007461991],"domain_scores_gemma":[0.9993155,0.00033995454,0.00013054415,0.00005128888,0.00011341872,0.000049331185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054865726,0.0007416275,0.0004910205,0.00075496733,0.000636193,0.0006454586,0.0006870519,0.00036193957,0.00065366976],"category_scores_gemma":[0.0016294747,0.00023168951,0.00018528634,0.00081713626,0.00037395317,0.00085586356,0.0007513174,0.0003168514,0.00012610499],"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":[0.00008562354,0.000022124086,0.0007081588,0.000033131233,0.000018786732,0.000042699543,0.000024356208,0.9577284,0.005866324,0.002108406,0.0003098967,0.033052064],"study_design_scores_gemma":[0.0000075823486,0.000031526633,0.00016023118,0.000002392593,0.000006358884,0.000021489313,0.000013545826,0.9965419,0.0012140282,0.0015927524,0.0004029931,0.000005122588],"about_ca_topic_score_codex":0.0034270089,"about_ca_topic_score_gemma":0.0041939933,"teacher_disagreement_score":0.0034270089,"about_ca_system_score_codex":0.0010798908,"about_ca_system_score_gemma":0.0007308226,"threshold_uncertainty_score":0.00783515},"labels":[],"label_agreement":null},{"id":"W2580412078","doi":"10.1109/tvt.2017.2660248","title":"Query Diversity Schemes for Backscatter RFID Communications With Single-Antenna Tags","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":15,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Northwest University","keywords":"Selection (genetic algorithm); Channel (broadcasting); Computer science; Algorithm; Mathematical notation; Notation; Theoretical computer science; Mathematics; Topology (electrical circuits); Telecommunications; Arithmetic; Combinatorics; Artificial intelligence","score_opus":0.025474481214552733,"score_gpt":0.22910745339379382,"score_spread":0.2036329721792411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580412078","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":[0.09337954,0.0025288342,0.89864695,0.00039662447,0.00008263616,0.00008583473,0.00007827738,0.00032482934,0.0044764206],"genre_scores_gemma":[0.9467727,0.0011990541,0.049180347,0.00032844214,0.00012970202,0.00006977388,0.00008812376,0.000042866006,0.0021890306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803716,0.0005424839,0.00008898422,0.00024624504,0.0006736811,0.0004114593],"domain_scores_gemma":[0.99432665,0.0038694749,0.00037820742,0.00045705072,0.00087305973,0.00009542939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022834626,0.0006862833,0.000880243,0.00068091374,0.0008297434,0.0014085859,0.0011175303,0.00083982234,0.0017964363],"category_scores_gemma":[0.0057867416,0.0003947329,0.0004262211,0.0014699978,0.0011976657,0.002593487,0.0018859053,0.0010352258,0.00048768814],"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":[0.002118019,0.00027776536,0.0037601923,0.00095844903,0.00019170552,0.0012921627,0.0017414227,0.1794295,0.19059314,0.3964513,0.004863805,0.21832255],"study_design_scores_gemma":[0.00008070326,0.0005321992,0.00077069557,0.00003658643,0.00007992622,0.0010453229,0.00028402914,0.9103425,0.046819113,0.03569768,0.0042166025,0.00009456336],"about_ca_topic_score_codex":0.00089024205,"about_ca_topic_score_gemma":0.0008677854,"teacher_disagreement_score":0.0022834626,"about_ca_system_score_codex":0.0011820536,"about_ca_system_score_gemma":0.00071657414,"threshold_uncertainty_score":0.012076259},"labels":[],"label_agreement":null},{"id":"W2582115116","doi":"10.1109/tvt.2017.2657696","title":"Structured-Compressed-Sensing-Based Impulsive Noise Cancelation for MIMO Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"MIMO; Compressed sensing; Robustness (evolution); Computer science; Matching pursuit; Greedy algorithm; Wireless; Precoding; Channel state information; Algorithm; Electronic engineering; Channel (broadcasting); Engineering; Telecommunications","score_opus":0.01228190167016751,"score_gpt":0.2454525219107163,"score_spread":0.23317062024054877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582115116","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":[0.007160858,0.00029306684,0.99055123,0.00011743134,0.000051797793,0.000022195161,0.000031912365,0.00010944353,0.0016620453],"genre_scores_gemma":[0.62123543,0.0010848184,0.37395313,0.00036668582,0.00023085586,0.00012183838,0.00026607103,0.000055288918,0.0026858412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996037,0.00010349049,0.000019097244,0.000053122472,0.0001855991,0.000034994806],"domain_scores_gemma":[0.9993905,0.00034370396,0.0000756426,0.000060233222,0.00010586978,0.000024040235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042907408,0.0008058259,0.00049315114,0.00035707647,0.0002782044,0.00047082355,0.00062165613,0.0005341348,0.0010102503],"category_scores_gemma":[0.001742394,0.00017387707,0.00032011603,0.00053245027,0.0005398788,0.0006860792,0.0007459142,0.0006554483,0.0002600064],"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":[0.00034719342,0.000107701155,0.0007501015,0.00048379743,0.00009249131,0.00028805522,0.000234748,0.54719454,0.051675238,0.05829555,0.004002173,0.33652842],"study_design_scores_gemma":[0.000012430956,0.00008437908,0.00011827605,0.000015427966,0.0000112468115,0.00010338676,0.00002283755,0.98615396,0.0067276405,0.005442499,0.0012952985,0.00001262373],"about_ca_topic_score_codex":0.0011591624,"about_ca_topic_score_gemma":0.0015224091,"teacher_disagreement_score":0.0011591624,"about_ca_system_score_codex":0.00026299874,"about_ca_system_score_gemma":0.0006867517,"threshold_uncertainty_score":0.0033795834},"labels":[],"label_agreement":null},{"id":"W2582667927","doi":"10.1109/tvt.2017.2659539","title":"FlexONC: Joint Cooperative Forwarding and Network Coding With Precise Encoding Conditions","year":2017,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear network coding; Computer science; Network packet; Computer network; Packet forwarding; Wireless network; Coding (social sciences); Encoding (memory); Broadcasting (networking); Wireless; Distributed computing; Telecommunications; Artificial intelligence; Mathematics","score_opus":0.035188348284649076,"score_gpt":0.28060100145679534,"score_spread":0.24541265317214628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582667927","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":[0.045088187,0.00034756053,0.9495772,0.00020353246,0.00007515771,0.00015761734,0.00009572875,0.00070358964,0.0037514241],"genre_scores_gemma":[0.8150878,0.0003388137,0.18176246,0.00020612584,0.00005258588,0.00016316194,0.0002192531,0.00007698519,0.002092859],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981811,0.00045058673,0.00010629686,0.00023241712,0.00071942876,0.00031017498],"domain_scores_gemma":[0.9935848,0.003190591,0.00064799306,0.0012306843,0.0011716486,0.0001742693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023014357,0.0009982778,0.0007676833,0.0012054789,0.0008665786,0.0009450885,0.001495122,0.00091536687,0.00089107576],"category_scores_gemma":[0.010571845,0.00033647867,0.00045471126,0.0012301994,0.0013602019,0.0021391576,0.0020272136,0.00097528537,0.00018532926],"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":[0.00055054453,0.0001982055,0.0026878829,0.00014642603,0.00005919572,0.0005671214,0.00057029066,0.64243186,0.027294159,0.0752429,0.003873829,0.24637756],"study_design_scores_gemma":[0.000021366282,0.00011900289,0.00017787625,0.000019275252,0.000016080121,0.00023066763,0.000056888577,0.9743249,0.008135906,0.0149923405,0.001871094,0.000034482295],"about_ca_topic_score_codex":0.0068883398,"about_ca_topic_score_gemma":0.0068093278,"teacher_disagreement_score":0.0068883398,"about_ca_system_score_codex":0.0011670708,"about_ca_system_score_gemma":0.0023162565,"threshold_uncertainty_score":0.013696492},"labels":[],"label_agreement":null},{"id":"W2586734364","doi":"10.1109/tvt.2017.2665480","title":"Combining Capital and Operating Expenditure Costs in Vehicular Roadside Unit Placement","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Operating expense; Rounding; Capital expenditure; Operating cost; Computer science; Integer programming; Linear programming; Set (abstract data type); Integer (computer science); Mathematical optimization; Computer network; Engineering; Algorithm; Operating system; Economics; Mathematics","score_opus":0.008041663048111226,"score_gpt":0.21862950262485167,"score_spread":0.21058783957674046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586734364","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":[0.12634279,0.0010864544,0.85610193,0.00055587746,0.00010735915,0.00025687154,0.00015126486,0.00039640823,0.01500105],"genre_scores_gemma":[0.8885338,0.00051309913,0.10705669,0.000054816403,0.000052028572,0.000104746374,0.0001034459,0.00012253545,0.003458939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875605,0.00046267788,0.00004503192,0.00014565888,0.00034264574,0.00024796202],"domain_scores_gemma":[0.99859816,0.0009422015,0.00015939024,0.000081843486,0.0001509681,0.000067410314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014775827,0.0016067344,0.0013585965,0.00095331646,0.00065417396,0.002225331,0.0013828132,0.000982826,0.0026721482],"category_scores_gemma":[0.0041125766,0.00078763627,0.0005302886,0.0016009063,0.00073434436,0.002228765,0.0011564945,0.0008297912,0.00028722518],"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":[0.00006631193,0.000033332097,0.00040785084,0.00005375484,0.000019610632,0.00007030027,0.000021613252,0.96920997,0.00064205134,0.0040101684,0.00033564848,0.025129424],"study_design_scores_gemma":[0.000010119694,0.000091579976,0.00044131442,0.000015998852,0.00002430287,0.000074626514,0.00006338226,0.9931211,0.0012037707,0.004167604,0.0007739023,0.0000122805795],"about_ca_topic_score_codex":0.0060368576,"about_ca_topic_score_gemma":0.007970439,"teacher_disagreement_score":0.0060368576,"about_ca_system_score_codex":0.0017182382,"about_ca_system_score_gemma":0.0017263416,"threshold_uncertainty_score":0.012466729},"labels":[],"label_agreement":null},{"id":"W2593137245","doi":"10.1109/tvt.2017.2677399","title":"On the Performance of MIMO-SVD Multiplexing Systems in HetNets: A Stochastic Geometry Perspective","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Stochastic geometry; Multiplexing; Computer science; Spatial multiplexing; Base station; Heterogeneous network; Spectral efficiency; Transmitter; Coverage probability; Path loss; Channel state information; Topology (electrical circuits); Interference (communication); Algorithm; Electronic engineering; Channel (broadcasting); Computer network; Mathematics; Wireless; Wireless network; Telecommunications; Engineering; Statistics; Electrical engineering","score_opus":0.009902969728608808,"score_gpt":0.22883623606532763,"score_spread":0.21893326633671883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593137245","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":[0.27850702,0.0035696554,0.6902742,0.0012892918,0.00017396886,0.000112282025,0.00042405116,0.00036643943,0.025283128],"genre_scores_gemma":[0.9870675,0.0012860348,0.00983948,0.00012390295,0.00008395607,0.00003868236,0.00008497099,0.0000461208,0.0014293276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983664,0.0007588466,0.000040729294,0.00015881725,0.00034678853,0.00032839197],"domain_scores_gemma":[0.98915523,0.008402427,0.0008783078,0.0003691371,0.0009539489,0.00024087836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026574528,0.0016091358,0.0012203354,0.0010197087,0.00071794156,0.001501421,0.0008552893,0.0012131522,0.0017454113],"category_scores_gemma":[0.0110957585,0.0005306175,0.00055577967,0.0010598303,0.0017328259,0.002037245,0.0017066954,0.0008592772,0.0003687485],"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":[0.00005330847,0.000018666246,0.00068810297,0.000039944563,0.000025545141,0.000094736824,0.000040009105,0.9749052,0.0014950782,0.019329473,0.00027297542,0.0030368823],"study_design_scores_gemma":[0.0000023862815,0.000043634955,0.00031178145,0.0000068981817,0.0000076490305,0.000049557802,0.00002459192,0.99475324,0.00057465886,0.004112433,0.000102798534,0.000010363795],"about_ca_topic_score_codex":0.0041136728,"about_ca_topic_score_gemma":0.0027452933,"teacher_disagreement_score":0.0041136728,"about_ca_system_score_codex":0.0016906607,"about_ca_system_score_gemma":0.0009172086,"threshold_uncertainty_score":0.014054179},"labels":[],"label_agreement":null},{"id":"W2593138756","doi":"10.1109/tvt.2017.2672701","title":"Joint Computation Offloading and Interference Management in Wireless Cellular Networks with Mobile Edge Computing","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":371,"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":"Ministerio de Economía y Competitividad; National Natural Science Foundation of China","keywords":"Computation offloading; Mobile edge computing; Computer science; Distributed computing; Computer network; Resource allocation; Overhead (engineering); Server; Wireless; Edge computing; Wireless network; Computation; Enhanced Data Rates for GSM Evolution; Algorithm; Operating system; Telecommunications","score_opus":0.01343905682283603,"score_gpt":0.23370522843929276,"score_spread":0.22026617161645673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593138756","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":[0.13061507,0.0011018161,0.86156934,0.00027078993,0.00008079595,0.000075573145,0.000031733165,0.00039439587,0.005860517],"genre_scores_gemma":[0.9741571,0.00019541818,0.02474192,0.000045108285,0.00002685216,0.000027077378,0.000016245674,0.000014589413,0.0007757543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994842,0.00014515387,0.00001831091,0.00007809717,0.0001226046,0.00015160914],"domain_scores_gemma":[0.99966705,0.00013788523,0.000033432058,0.000058356443,0.000065899054,0.00003738889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004189458,0.0007244332,0.0007991357,0.0003880957,0.00077169907,0.000909656,0.0007963815,0.00041066745,0.00046882412],"category_scores_gemma":[0.0008522142,0.00018717156,0.00030052007,0.00077925954,0.000534254,0.00092864985,0.0009775725,0.00047357118,0.00008333759],"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":[0.00028129818,0.00015367288,0.0019467662,0.00008341944,0.00007125852,0.0003931372,0.00013324148,0.8342233,0.014977044,0.018105136,0.0016912702,0.12794054],"study_design_scores_gemma":[0.0000057214575,0.00003130193,0.00024928854,0.00000322755,0.000012929644,0.00003546236,0.00002752955,0.9940376,0.0017492649,0.0033872407,0.00045393966,0.000006430544],"about_ca_topic_score_codex":0.006084393,"about_ca_topic_score_gemma":0.009052094,"teacher_disagreement_score":0.006084393,"about_ca_system_score_codex":0.00087581103,"about_ca_system_score_gemma":0.00088159647,"threshold_uncertainty_score":0.012097955},"labels":[],"label_agreement":null},{"id":"W2593287941","doi":"10.1109/tvt.2017.2679076","title":"Classification of User Trajectories in LTE HetNets Using Unsupervised Shapelets and Multiresolution Wavelet Decomposition","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":14,"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 Regina","funders":"University of Regina","keywords":"Cluster analysis; Computer science; Handover; Wavelet; Data mining; Wavelet transform; Base station; Interference (communication); Pattern recognition (psychology); Enhanced Data Rates for GSM Evolution; Artificial intelligence; Algorithm","score_opus":0.027406640504146384,"score_gpt":0.2775070558694441,"score_spread":0.2501004153652977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593287941","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":[0.4157288,0.00016943018,0.58271253,0.00012294175,0.000039359915,0.000053855812,0.00023263837,0.00022965741,0.0007108606],"genre_scores_gemma":[0.92384887,0.00016274746,0.07476644,0.00001958876,0.000020803343,0.000032348657,0.00040575792,0.000019072115,0.0007243106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977833,0.000050903414,0.000018606443,0.000055283595,0.000057656922,0.00003921297],"domain_scores_gemma":[0.9994282,0.00019522908,0.00014189328,0.00006488076,0.00013736515,0.00003243167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045383954,0.00041263306,0.00034402867,0.0011840233,0.00023186211,0.0004900217,0.00037860108,0.00045689897,0.00019614692],"category_scores_gemma":[0.0015144267,0.00012700816,0.00037178007,0.0009077352,0.00020215257,0.00053069694,0.00028392885,0.000323307,0.00015871413],"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":[0.00040590786,0.00022277694,0.051209338,0.00008785173,0.00009627081,0.00046905378,0.000400394,0.634001,0.033824693,0.0060826372,0.0011467963,0.27205333],"study_design_scores_gemma":[0.0000016649768,0.000033215994,0.006727542,0.000003387931,0.0000054924826,0.0000486701,0.000054494514,0.98988825,0.0021583382,0.0008163579,0.00025595113,0.0000066463613],"about_ca_topic_score_codex":0.0035093518,"about_ca_topic_score_gemma":0.0033571015,"teacher_disagreement_score":0.0035093518,"about_ca_system_score_codex":0.0003971489,"about_ca_system_score_gemma":0.00029505359,"threshold_uncertainty_score":0.006977856},"labels":[],"label_agreement":null},{"id":"W2596456786","doi":"10.1109/tvt.2017.2682236","title":"QoE Driven Decentralized Spectrum Sharing in 5G Networks: Potential Game Approach","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":86,"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 Waterloo","funders":"","keywords":"Computer science; Mathematical optimization; Nash equilibrium; Scheduling (production processes); Potential game; Optimization problem; Iterative method; Overhead (engineering); Game theory; Graph; Distributed computing; Algorithm; Mathematics; Theoretical computer science","score_opus":0.007813326133449896,"score_gpt":0.2176611976749012,"score_spread":0.2098478715414513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596456786","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":[0.026599403,0.0004896437,0.9628597,0.00068083004,0.0000662735,0.00012444248,0.000043611282,0.000043759806,0.009092295],"genre_scores_gemma":[0.9566184,0.00054469076,0.03849688,0.00017703752,0.00005985947,0.00023027943,0.00003035866,0.000019189778,0.003823309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991146,0.00045629422,0.000022111668,0.000116330055,0.00015425005,0.00013645],"domain_scores_gemma":[0.99871767,0.00092392566,0.000116706346,0.000029604016,0.00012785819,0.000084292835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537934,0.0010558406,0.0012769063,0.0005800489,0.00072194764,0.0012623313,0.001690005,0.001627973,0.002125027],"category_scores_gemma":[0.0031173518,0.0005070867,0.00076985173,0.00063561246,0.0015901088,0.0017971719,0.0015960885,0.0012308307,0.0001455175],"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":[0.00005990669,0.000043584212,0.00036935735,0.000059545804,0.000037110352,0.00017249517,0.000082587154,0.9215172,0.0008092358,0.06985429,0.00058406027,0.0064107245],"study_design_scores_gemma":[0.000010168598,0.000019678871,0.00004257297,0.000004231208,0.000005224521,0.000017204122,0.000015224574,0.98802465,0.000057876823,0.0115719335,0.000226281,0.0000050122785],"about_ca_topic_score_codex":0.0050150263,"about_ca_topic_score_gemma":0.0037466164,"teacher_disagreement_score":0.0050150263,"about_ca_system_score_codex":0.0017196792,"about_ca_system_score_gemma":0.0015433973,"threshold_uncertainty_score":0.012477219},"labels":[],"label_agreement":null},{"id":"W2601525722","doi":"10.1109/tvt.2017.2687898","title":"Secondary User Interference Characterization for Spatially Random Underlay Networks With Massive MIMO and Power Control","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Underlay; Path loss; Rayleigh fading; MIMO; Power control; Fading; Interference (communication); Poisson point process; Computer science; Microcell; Electronic engineering; Topology (electrical circuits); Telecommunications; Computer network; Signal-to-noise ratio (imaging); Engineering; Power (physics); Mathematics; Wireless; Point process; Physics; Electrical engineering; Beamforming; Decoding methods; Statistics; Channel (broadcasting)","score_opus":0.0049597580685650745,"score_gpt":0.20051321916471798,"score_spread":0.1955534610961529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601525722","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":[0.443601,0.0006923586,0.5507878,0.00016726245,0.000019787723,0.00003813012,0.00017236534,0.00017997736,0.0043414],"genre_scores_gemma":[0.99515885,0.00014369696,0.0042218138,0.000018777839,0.000017679842,0.000014790839,0.00004007857,0.000010569829,0.00037386632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914265,0.000287227,0.000038072398,0.00013680682,0.0002570432,0.00013812196],"domain_scores_gemma":[0.995732,0.0026516598,0.0007043733,0.00030219363,0.0004846367,0.00012508775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010714822,0.00078473816,0.00069402595,0.0005948639,0.0003551487,0.0008178989,0.00084013777,0.0005064006,0.0007544459],"category_scores_gemma":[0.005902149,0.00031227057,0.00044340166,0.00070517027,0.0009961834,0.0010937226,0.00083127036,0.0005101937,0.0001604569],"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":[0.00012429862,0.000040295476,0.00459179,0.00005635765,0.00005726967,0.00033313688,0.00011484861,0.9669298,0.0069894777,0.01489146,0.0002643818,0.00560683],"study_design_scores_gemma":[0.0000033524873,0.000040384937,0.001249872,0.0000043656887,0.000012938636,0.00012136475,0.000036277335,0.99406517,0.0011091807,0.0032367252,0.000113340364,0.0000070342385],"about_ca_topic_score_codex":0.0027268324,"about_ca_topic_score_gemma":0.001888457,"teacher_disagreement_score":0.0027268324,"about_ca_system_score_codex":0.000996771,"about_ca_system_score_gemma":0.0005135432,"threshold_uncertainty_score":0.00723207},"labels":[],"label_agreement":null},{"id":"W2602117107","doi":"10.1109/tvt.2017.2689504","title":"Joint Traffic Scheduling and Resource Allocations for Traffic Offloading With Secrecy Provisioning","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Scheduling (production processes); Computer science; Provisioning; Computer network; Joint (building); Secrecy; Distributed computing; Engineering; Computer security","score_opus":0.011861969367420263,"score_gpt":0.22516581607981406,"score_spread":0.2133038467123938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602117107","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":[0.05720528,0.00041271216,0.9342221,0.00024447186,0.00008020912,0.00009950015,0.000085902684,0.00021167447,0.0074381907],"genre_scores_gemma":[0.9239593,0.00032057386,0.07369583,0.000082899656,0.00006499562,0.00008569414,0.00009651432,0.000055381297,0.0016388544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924624,0.00022638011,0.000027554659,0.00012921687,0.0001453997,0.000225187],"domain_scores_gemma":[0.9992304,0.00039294266,0.00009730532,0.00008052136,0.00011137644,0.00008742412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922624,0.0013409505,0.0009869336,0.0006104184,0.0007656636,0.0011002577,0.00090190594,0.00068516383,0.0018305707],"category_scores_gemma":[0.0019861686,0.00038545518,0.0006198029,0.0010505344,0.0006666766,0.001098346,0.0010058321,0.00090745627,0.00033473875],"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":[0.00016377214,0.00013810622,0.00088618393,0.00010150919,0.000032977405,0.0001819596,0.00009310202,0.9251796,0.009387882,0.017447252,0.00165189,0.04473577],"study_design_scores_gemma":[0.0000069087414,0.000027908449,0.00012306352,0.0000037567333,0.0000076928645,0.000035644796,0.000030528005,0.99372536,0.0012476926,0.004412094,0.00037298579,0.0000062573213],"about_ca_topic_score_codex":0.0029234206,"about_ca_topic_score_gemma":0.0037840928,"teacher_disagreement_score":0.0029234206,"about_ca_system_score_codex":0.00092178216,"about_ca_system_score_gemma":0.0015710471,"threshold_uncertainty_score":0.0066880584},"labels":[],"label_agreement":null},{"id":"W2608144973","doi":"10.1109/tvt.2017.2696078","title":"User Behavior-Aware Scheduling Based on Time–Frequency Resource Conversion","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":17,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Provisioning; Scheduling (production processes); Computer network; Quality of service; Dynamic priority scheduling; Distributed computing; Real-time computing; Mathematical optimization","score_opus":0.006844954386680242,"score_gpt":0.2171646616296529,"score_spread":0.21031970724297266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608144973","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":[0.057215296,0.00030805924,0.93860537,0.00012307048,0.00007242749,0.00008474587,0.000035254336,0.00044375003,0.003112113],"genre_scores_gemma":[0.96832263,0.00017050855,0.030672975,0.00004693687,0.000027967984,0.000035839104,0.000024478168,0.000024671777,0.00067405164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908817,0.0002644636,0.000035943987,0.0001753001,0.00024100431,0.00019501959],"domain_scores_gemma":[0.9984602,0.00072636147,0.00022619404,0.00023542272,0.00023140929,0.00012057494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083091075,0.0006446639,0.0007897324,0.0004177984,0.0004672717,0.0007115094,0.0013164926,0.00041440976,0.0008992472],"category_scores_gemma":[0.0031244755,0.00024415273,0.00037000704,0.0009830049,0.00069413247,0.0009183397,0.0005979973,0.0006372523,0.00015380008],"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":[0.00024266889,0.00016602405,0.0014000847,0.00010172403,0.000057955796,0.00019164148,0.00015268064,0.86499786,0.01518114,0.037813127,0.001670052,0.078025065],"study_design_scores_gemma":[0.0000066556017,0.000028546261,0.00011419321,0.0000020136788,0.0000061134097,0.000044009077,0.000009424372,0.9964216,0.0010095556,0.0020718582,0.00027935335,0.000006823404],"about_ca_topic_score_codex":0.0040241233,"about_ca_topic_score_gemma":0.0028746307,"teacher_disagreement_score":0.0040241233,"about_ca_system_score_codex":0.0010292076,"about_ca_system_score_gemma":0.0013758871,"threshold_uncertainty_score":0.008001387},"labels":[],"label_agreement":null},{"id":"W2611515111","doi":"10.1109/tvt.2017.2700475","title":"Artificial Noise Assisted Secure Interference Networks With Wireless Power Transfer","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":117,"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; Carleton University","funders":"National Natural Science Foundation of China","keywords":"Eavesdropping; Interference (communication); Artificial noise; Computer science; Transmitter power output; Transmitter; Wireless; Noise (video); Electronic engineering; Energy (signal processing); Signal-to-noise ratio (imaging); Power (physics); Zero-forcing precoding; Telecommunications; Computer network; Engineering; Channel (broadcasting); Precoding; MIMO; Mathematics; Artificial intelligence; Physics","score_opus":0.010436894311628656,"score_gpt":0.21009217166310956,"score_spread":0.19965527735148092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611515111","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":[0.023155607,0.00057957234,0.9708109,0.00017540477,0.000052023846,0.000037407033,0.000022341637,0.00019552482,0.0049712663],"genre_scores_gemma":[0.92416734,0.00071336067,0.07160089,0.00017295578,0.000060026,0.00012190749,0.000036399488,0.000028313367,0.0030987759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921894,0.00028842245,0.000036078618,0.00011649409,0.00023659345,0.00010348855],"domain_scores_gemma":[0.99924326,0.0004233245,0.00013824474,0.000065263965,0.000101793055,0.000028016355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007695635,0.0009208856,0.0007026952,0.0004660295,0.00056664477,0.0008675349,0.0010053077,0.00064132287,0.0009953115],"category_scores_gemma":[0.0014415825,0.00023032856,0.00042201902,0.0009462026,0.0010226206,0.0013729001,0.0015079115,0.0007567443,0.00030049542],"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":[0.000501958,0.00013532338,0.00090125116,0.0002753403,0.00010857343,0.00057343644,0.00025294855,0.7267329,0.03839634,0.09741077,0.001708345,0.13300282],"study_design_scores_gemma":[0.000018072766,0.00010445086,0.00008357791,0.000012648545,0.000024407065,0.00012596464,0.000024453942,0.9784425,0.0053927847,0.014403954,0.0013517102,0.000015433356],"about_ca_topic_score_codex":0.00045015852,"about_ca_topic_score_gemma":0.0005432511,"teacher_disagreement_score":0.0010053077,"about_ca_system_score_codex":0.000717149,"about_ca_system_score_gemma":0.00045974835,"threshold_uncertainty_score":0.0052033067},"labels":[],"label_agreement":null},{"id":"W2611768984","doi":"10.1109/tvt.2017.2701351","title":"Performance Analysis of Downlink MU-TXOP Sharing in IEEE 802.11ac","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":11,"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":"Telecommunications link; Computer network; Throughput; Computer science; Channel (broadcasting); Bandwidth (computing); Transmission (telecommunications); Queueing theory; Electronic engineering; Wireless; Engineering; Telecommunications","score_opus":0.019642628193971542,"score_gpt":0.27315469016779415,"score_spread":0.2535120619738226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611768984","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":[0.88879704,0.0016767008,0.0970999,0.00033568317,0.00007189114,0.00005770141,0.00014342096,0.00039610537,0.01142153],"genre_scores_gemma":[0.9977387,0.000120088946,0.001814244,0.000017728888,0.000012133794,0.000007700442,0.000021662021,0.000007890514,0.00025979194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780685,0.00050799333,0.00006340534,0.00021930267,0.00065868493,0.0007437772],"domain_scores_gemma":[0.99595,0.0018037297,0.00051637297,0.00034661725,0.0012047311,0.00017855928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016763622,0.0009406454,0.000726029,0.0008603824,0.0007911665,0.0012849265,0.00089697825,0.000621543,0.0011044198],"category_scores_gemma":[0.0041712425,0.00027808663,0.00035930375,0.0010860007,0.00092008564,0.000989418,0.00088558125,0.00060386275,0.00015759337],"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":[0.0005971316,0.00014813799,0.004983434,0.000088041474,0.000055594566,0.00022848856,0.00010963503,0.9486078,0.017373636,0.008804294,0.00066189136,0.018341836],"study_design_scores_gemma":[0.00000513189,0.00014185022,0.00076274085,0.000004817517,0.000017601842,0.000054802473,0.000035617482,0.99588484,0.0024771676,0.00048121775,0.00012552692,0.000008701403],"about_ca_topic_score_codex":0.010984487,"about_ca_topic_score_gemma":0.0053692004,"teacher_disagreement_score":0.010984487,"about_ca_system_score_codex":0.0020990227,"about_ca_system_score_gemma":0.0015567486,"threshold_uncertainty_score":0.021841109},"labels":[],"label_agreement":null},{"id":"W2612706430","doi":"10.1109/tvt.2017.2703133","title":"Velocity Awareness in Vehicular Networks via Sparse Recovery","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Superframe; Network packet; Computer science; Real-time computing; Sliding window protocol; Channel (broadcasting); Trajectory; Vehicular ad hoc network; Wireless; Computer network; Window (computing); Control theory (sociology); Telecommunications; Artificial intelligence; Control (management); Wireless ad hoc network","score_opus":0.01108974988411454,"score_gpt":0.22501381612553845,"score_spread":0.2139240662414239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612706430","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":[0.022803273,0.00036812923,0.9755889,0.00017037577,0.000038648534,0.000021895497,0.000035765122,0.00018140004,0.00079162],"genre_scores_gemma":[0.88143176,0.00092936767,0.115693234,0.00009022515,0.000119661214,0.00005998192,0.00021634685,0.000032251803,0.0014271935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995679,0.00011833765,0.000020709518,0.0000770416,0.000141367,0.000074643656],"domain_scores_gemma":[0.9989267,0.00059771084,0.00015182965,0.00010941512,0.00017492827,0.00003937727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059233047,0.0005724186,0.0007460649,0.00071059895,0.00040226657,0.0006351574,0.0009292981,0.00057505,0.0004016192],"category_scores_gemma":[0.0034662092,0.00039091267,0.00031458877,0.0009382094,0.00059801666,0.0018533488,0.0012949932,0.0008397688,0.00016796732],"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":[0.00011313528,0.000029741994,0.0009370147,0.00007841444,0.0000306608,0.00010592397,0.00011720277,0.8826209,0.0057706092,0.012489027,0.0011123983,0.09659495],"study_design_scores_gemma":[0.000004338713,0.000021916128,0.00012584984,0.0000048793418,0.0000050221684,0.000026618856,0.00002489467,0.99405354,0.00079809857,0.0045334515,0.0003954735,0.0000060715006],"about_ca_topic_score_codex":0.0052028657,"about_ca_topic_score_gemma":0.0030524996,"teacher_disagreement_score":0.0052028657,"about_ca_system_score_codex":0.00046055607,"about_ca_system_score_gemma":0.00066158804,"threshold_uncertainty_score":0.010345161},"labels":[],"label_agreement":null},{"id":"W2614162206","doi":"10.1109/tvt.2017.2705191","title":"Number-Theoretic Sequence Design for Uncoordinated Autonomous Multiple Access in Relay-Assisted Machine-Type Communications","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","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":"Carleton University","funders":"Ontario Ministry of Economic Development and Innovation","keywords":"Relay; Sequence (biology); Computer science; Computer network; Engineering; Embedded system","score_opus":0.058679642307302694,"score_gpt":0.32601746244233404,"score_spread":0.2673378201350313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614162206","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":[0.008846427,0.00012615984,0.9888953,0.000055232224,0.00002770846,0.000052559157,0.000018433415,0.00009930012,0.0018788773],"genre_scores_gemma":[0.44468418,0.00042906744,0.5509885,0.00015218182,0.00006721133,0.0003728439,0.00015069297,0.0000800755,0.0030752479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897575,0.0004401216,0.00004910061,0.00013725896,0.00031328833,0.000084527805],"domain_scores_gemma":[0.99843544,0.0009046269,0.0001939797,0.00014367624,0.0002603105,0.00006198751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123746,0.0007484102,0.00045387118,0.00075708044,0.00039846107,0.00067810155,0.0009019163,0.00051081344,0.0024985266],"category_scores_gemma":[0.004577687,0.00031694776,0.0003696439,0.0008743781,0.0010255484,0.0010480478,0.00082700956,0.0008140873,0.0006556876],"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":[0.00021607832,0.00008087077,0.0003890814,0.00016432501,0.000027871029,0.00009457177,0.00018487933,0.62674135,0.014177277,0.23001876,0.001614997,0.12628996],"study_design_scores_gemma":[0.00003824607,0.00019866727,0.00006763524,0.000020102892,0.0000084390795,0.00006642505,0.000018014034,0.9252308,0.004292083,0.067102686,0.002941963,0.000014965953],"about_ca_topic_score_codex":0.0007281906,"about_ca_topic_score_gemma":0.0008379866,"teacher_disagreement_score":0.0024985266,"about_ca_system_score_codex":0.00090997753,"about_ca_system_score_gemma":0.0011131819,"threshold_uncertainty_score":0.008358419},"labels":[],"label_agreement":null},{"id":"W2620323949","doi":"10.1109/tvt.2017.2709622","title":"Proactive Radio Resource Optimization With Margin Prediction: A Data Mining Approach","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"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 Victoria","funders":"National Natural Science Foundation of China","keywords":"Computer science; Data mining; Margin (machine learning); Statistic; Cellular network; Resource (disambiguation); Real-time computing; Computer network; Machine learning","score_opus":0.017478547162874964,"score_gpt":0.22018430125062566,"score_spread":0.20270575408775068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620323949","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":[0.10817311,0.0007057479,0.8870635,0.0007151002,0.000041613665,0.00013927027,0.0007566582,0.0011023547,0.001302747],"genre_scores_gemma":[0.84536606,0.0003535537,0.15198119,0.00015141643,0.000072023046,0.0002155393,0.0010719758,0.000049760612,0.0007384538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999387,0.00013442346,0.000066687506,0.00021183668,0.0001384751,0.00006154343],"domain_scores_gemma":[0.9981823,0.0010124986,0.0002940145,0.0001705648,0.00027871795,0.000061971914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012856146,0.0012423558,0.0015003721,0.002078458,0.00046772423,0.0010882263,0.0016747054,0.00096005877,0.00046214476],"category_scores_gemma":[0.0032626155,0.00060913106,0.0008557942,0.0015268277,0.0004207188,0.0015102668,0.0006797823,0.0010372052,0.0001911362],"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":[0.00012938901,0.000318932,0.012668001,0.000095208874,0.00012437774,0.00012277722,0.000062201296,0.9022901,0.0013885831,0.0019723806,0.0013752768,0.07945277],"study_design_scores_gemma":[0.0000024897956,0.00001171583,0.0003562273,0.0000035352455,0.00000577078,0.00001143937,0.000009964483,0.9982667,0.00030923216,0.0009066832,0.000112948735,0.0000032241005],"about_ca_topic_score_codex":0.0054567615,"about_ca_topic_score_gemma":0.004883512,"teacher_disagreement_score":0.0054567615,"about_ca_system_score_codex":0.00065700087,"about_ca_system_score_gemma":0.00094086095,"threshold_uncertainty_score":0.010850012},"labels":[],"label_agreement":null},{"id":"W2620765670","doi":"10.1109/tvt.2017.2711582","title":"Optimization of Handover Parameters for LTE/LTE-A in-Building Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":62,"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 Regina","funders":"University of Regina","keywords":"Handover; Base station; Enhanced Data Rates for GSM Evolution; Telecommunications link; Computer science; Flexibility (engineering); User equipment; Process (computing); Computer network; Real-time computing; Telecommunications","score_opus":0.016508042866096764,"score_gpt":0.26540389139040343,"score_spread":0.24889584852430668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620765670","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":[0.27546614,0.00064426125,0.7199071,0.00021490525,0.000045455952,0.00009595771,0.00012350648,0.00052627263,0.002976414],"genre_scores_gemma":[0.98060256,0.000081370104,0.01898847,0.000024128336,0.000009630559,0.000019403979,0.00003746698,0.000017195302,0.0002198112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944836,0.00018394993,0.000030091296,0.00007464356,0.00013232988,0.00013048021],"domain_scores_gemma":[0.99894375,0.0005190387,0.00023463817,0.00010262398,0.00014236831,0.000057547513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007841969,0.0011398825,0.0006144728,0.0005709689,0.0004916647,0.0007696955,0.00068258744,0.00066891935,0.000507578],"category_scores_gemma":[0.0028070724,0.00030622527,0.00023878222,0.0004751006,0.00040141368,0.00070008734,0.00052700524,0.0007904762,0.00016219838],"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":[0.00011863253,0.00017930257,0.0029859934,0.00007831289,0.000049934566,0.00007733626,0.000072120936,0.91827625,0.017912416,0.0007777519,0.00038949784,0.05908247],"study_design_scores_gemma":[0.000015667567,0.00014184962,0.0028492238,0.00000840079,0.0000323159,0.00007054956,0.000063553285,0.98675007,0.008678208,0.00093682733,0.00043875986,0.000014586048],"about_ca_topic_score_codex":0.0031011603,"about_ca_topic_score_gemma":0.004400067,"teacher_disagreement_score":0.0031011603,"about_ca_system_score_codex":0.0006631428,"about_ca_system_score_gemma":0.0006430225,"threshold_uncertainty_score":0.0061662197},"labels":[],"label_agreement":null},{"id":"W2621016439","doi":"10.1109/tvt.2017.2710124","title":"Novel Trust Framework for Vehicular Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":51,"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 Windsor","funders":"Société d'Accélération du Transfert de Technologies","keywords":"Computer science; Computer network","score_opus":0.013342677023475111,"score_gpt":0.2424204026675759,"score_spread":0.22907772564410078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621016439","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":[0.004651335,0.00053913885,0.9916638,0.00025165925,0.000089154826,0.00007318878,0.000086560955,0.00023367758,0.0024115979],"genre_scores_gemma":[0.7657604,0.0013335935,0.22293293,0.00013031514,0.00023459295,0.00030105546,0.00046538975,0.000081417566,0.008760303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975127,0.0008639839,0.00018833899,0.00039842134,0.0007803092,0.0002562143],"domain_scores_gemma":[0.9977016,0.0008775022,0.00030481658,0.00020679538,0.00075306796,0.00015618997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024034383,0.00086994586,0.0010222776,0.0010201553,0.0008819393,0.0019406057,0.0019270354,0.0011871323,0.0016863493],"category_scores_gemma":[0.007294907,0.0004469427,0.00091538305,0.0009655913,0.0009481464,0.0030958992,0.0018194278,0.0014629965,0.0005207475],"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":[0.00017554045,0.00006131035,0.0019882636,0.0002438928,0.00013709528,0.000579763,0.0004912339,0.5491623,0.0028127271,0.35600626,0.0064223018,0.08191931],"study_design_scores_gemma":[0.000011104969,0.000032833883,0.00013008848,0.000016321255,0.00002271677,0.000094173476,0.000052048916,0.9516643,0.00040526132,0.04312258,0.00443271,0.000015800619],"about_ca_topic_score_codex":0.011285706,"about_ca_topic_score_gemma":0.009107201,"teacher_disagreement_score":0.011285706,"about_ca_system_score_codex":0.002038785,"about_ca_system_score_gemma":0.0019365038,"threshold_uncertainty_score":0.022440016},"labels":[],"label_agreement":null},{"id":"W2623981363","doi":"10.1109/tvt.2017.2712669","title":"Dynamic Resource Allocation for Virtualized Wireless Networks in Massive-MIMO-Aided and Fronthaul-Limited C-RAN","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Iran Telecommunication Research Center","keywords":"Radio access network; C-RAN; MIMO; Computer science; Telecommunications link; Resource allocation; Computer network; Base station; Transmitter power output; Remote radio head; Wireless network; Wireless; Radio resource management; Cloud computing; Channel (broadcasting); Transmitter; Telecommunications; Mobile station","score_opus":0.007106836369312886,"score_gpt":0.23026795670544453,"score_spread":0.22316112033613164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623981363","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":[0.053879883,0.0002981883,0.9434452,0.00010329,0.00003425878,0.000038417187,0.000020471607,0.00010257537,0.0020777548],"genre_scores_gemma":[0.92711943,0.00014596613,0.07179816,0.000057172107,0.000020388688,0.00005842262,0.000027414688,0.000018012199,0.00075511896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929726,0.00030483596,0.000018695204,0.00012342991,0.00011838879,0.00013731663],"domain_scores_gemma":[0.9991037,0.00056885934,0.00010853754,0.000059682414,0.00010361427,0.000055525605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009698481,0.0007310476,0.00075759104,0.00022085405,0.0004395024,0.0010119404,0.0009893068,0.0006214642,0.00060554995],"category_scores_gemma":[0.0020896322,0.00033328068,0.00035885413,0.00041077103,0.0008616733,0.00089800387,0.0009733824,0.00064258196,0.000097008786],"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":[0.00004286681,0.000019510973,0.00019269242,0.000020450403,0.000014036951,0.00007291487,0.000024095823,0.984664,0.0013839126,0.005318618,0.0001664841,0.008080421],"study_design_scores_gemma":[0.0000020217822,0.000011455017,0.000027082688,0.0000012603157,0.0000019494291,0.0000098110395,0.0000046867153,0.9989059,0.00020242498,0.0007502503,0.000081477316,0.0000016886275],"about_ca_topic_score_codex":0.0035723331,"about_ca_topic_score_gemma":0.0032358647,"teacher_disagreement_score":0.0035723331,"about_ca_system_score_codex":0.0008362357,"about_ca_system_score_gemma":0.0011316867,"threshold_uncertainty_score":0.0071030855},"labels":[],"label_agreement":null},{"id":"W2625133885","doi":"10.1109/tvt.2017.2714863","title":"Mobile Service Amount Based Link Scheduling for High-Mobility Cooperative Vehicular Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":30,"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 Victoria","funders":"Natural Science Foundation of Beijing Municipality; Southeast University; National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Relay; Computer network; Vehicular ad hoc network; Distributed computing; Mathematical optimization; Wireless ad hoc network; Wireless; Mathematics","score_opus":0.00988609328618633,"score_gpt":0.23403824149506405,"score_spread":0.22415214820887772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625133885","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":[0.026316501,0.00055678765,0.97121114,0.00009025123,0.000051475166,0.000040699164,0.00002887016,0.00017843774,0.0015258761],"genre_scores_gemma":[0.8861232,0.0004830734,0.111865416,0.000059338494,0.0000698977,0.00008069719,0.00009621361,0.000049741087,0.001172418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992873,0.00029102233,0.000032785134,0.00010054049,0.00018988743,0.000098571414],"domain_scores_gemma":[0.9991879,0.0003981093,0.00012942305,0.00007168233,0.0001580597,0.000054778022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008978658,0.00071873114,0.00061521324,0.00057693606,0.0005471482,0.0006661348,0.0010570473,0.00036506687,0.00082033296],"category_scores_gemma":[0.0018318676,0.0002427049,0.0003407503,0.0011190787,0.00043031463,0.00085395575,0.00057931844,0.0005058863,0.00018158181],"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":[0.00011770496,0.000055013155,0.0005601795,0.000102445796,0.000032539123,0.000056457797,0.000077125325,0.8949128,0.007235066,0.013757293,0.0010411104,0.08205238],"study_design_scores_gemma":[0.0000068268128,0.00005938174,0.00012390295,0.0000032084968,0.0000073207557,0.000021946764,0.000019670737,0.99494666,0.0012702909,0.002795001,0.0007401585,0.000005735303],"about_ca_topic_score_codex":0.0031476603,"about_ca_topic_score_gemma":0.0037914016,"teacher_disagreement_score":0.0031476603,"about_ca_system_score_codex":0.0011197813,"about_ca_system_score_gemma":0.0013786304,"threshold_uncertainty_score":0.00812459},"labels":[],"label_agreement":null},{"id":"W2632602986","doi":"10.1109/tvt.2017.2717385","title":"Modulation-Specific Multiuser Transmit Precoding and User Selection for One-Dimensional Signaling","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Zero-forcing precoding; Computer science; Reliability (semiconductor); Transmission (telecommunications); Channel (broadcasting); Beamforming; Algorithm; MIMO; Electronic engineering; Computer network; Telecommunications; Engineering","score_opus":0.01743474457415993,"score_gpt":0.2339279147463976,"score_spread":0.21649317017223768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2632602986","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":[0.010784211,0.00024069127,0.98680276,0.000107003274,0.000020197509,0.000016524407,0.000018763862,0.000059948114,0.0019498038],"genre_scores_gemma":[0.7341396,0.0011446768,0.26074305,0.00017545962,0.000099128825,0.0001473394,0.00010786306,0.000027091008,0.0034156907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944955,0.00025816422,0.000016846032,0.00006192727,0.00016389522,0.000049581948],"domain_scores_gemma":[0.99928826,0.00044166576,0.00008094195,0.00009013939,0.00008183525,0.000017274804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052364764,0.0005159739,0.0005049437,0.00026322325,0.00026316204,0.00048339338,0.00046538495,0.0005204982,0.0008040442],"category_scores_gemma":[0.0022885709,0.00028237846,0.00037635793,0.0006094336,0.00084207807,0.00052217406,0.00064851815,0.00067232555,0.00030875637],"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":[0.000077195626,0.000043761233,0.00046550616,0.00011354806,0.00004310571,0.00017218966,0.0001362613,0.8076898,0.012567174,0.11105156,0.0013140256,0.06632588],"study_design_scores_gemma":[0.0000045490237,0.000027936661,0.000083345025,0.00000539323,0.000004606761,0.000054426233,0.0000072140356,0.9869042,0.0013399085,0.011021886,0.0005406347,0.0000059473723],"about_ca_topic_score_codex":0.0010007814,"about_ca_topic_score_gemma":0.001397162,"teacher_disagreement_score":0.0010007814,"about_ca_system_score_codex":0.0004594537,"about_ca_system_score_gemma":0.0006345514,"threshold_uncertainty_score":0.0033335686},"labels":[],"label_agreement":null},{"id":"W2727608015","doi":"10.1109/tvt.2017.2720481","title":"Cross-Layer Optimization of Fast Video Delivery in Cache- and Buffer-Enabled Relaying Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":50,"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 British Columbia; Huawei Technologies (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; Alexander von Humboldt-Stiftung","keywords":"Computer science; Cache; Computer network; Online algorithm; Video quality; Optimization problem; Wireless network; Channel (broadcasting); Real-time computing; Wireless; Algorithm","score_opus":0.013847047946951489,"score_gpt":0.24037351251811165,"score_spread":0.22652646457116016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2727608015","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":[0.0952563,0.0014942463,0.89884746,0.00038187733,0.00006886701,0.000055184264,0.00009795419,0.00016442705,0.0036336512],"genre_scores_gemma":[0.959691,0.00080410345,0.035900548,0.00008995931,0.000039118877,0.00008556498,0.00007522104,0.00006739208,0.0032471495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993368,0.00023457651,0.00002286055,0.00013753923,0.00011915136,0.00014908999],"domain_scores_gemma":[0.9982437,0.0012097814,0.00021173322,0.000059453017,0.00019521709,0.00008019398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014711707,0.0016904322,0.0013987323,0.00047469474,0.0003678551,0.0014070964,0.0012777536,0.0014861143,0.0012208109],"category_scores_gemma":[0.0035282415,0.00066015613,0.0005668147,0.0006812636,0.0009374392,0.0014941407,0.001152285,0.0009406763,0.00019812978],"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":[0.0000521063,0.000025667376,0.0002090154,0.000052772477,0.000024221838,0.00010447645,0.000030379135,0.98542446,0.0024236166,0.007107577,0.000274044,0.0042717163],"study_design_scores_gemma":[0.0000039259658,0.000025949706,0.000039451428,0.0000021077524,0.000005369814,0.000010771123,0.000006332693,0.9984989,0.00029472797,0.0010406919,0.00006857642,0.0000030979384],"about_ca_topic_score_codex":0.005224833,"about_ca_topic_score_gemma":0.0024853188,"teacher_disagreement_score":0.005224833,"about_ca_system_score_codex":0.0019245498,"about_ca_system_score_gemma":0.0011287889,"threshold_uncertainty_score":0.01396364},"labels":[],"label_agreement":null},{"id":"W2734628372","doi":"10.1109/tvt.2017.2725449","title":"Truthful Mechanisms for Message Dissemination via Device-to-Device Communications","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":12,"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 New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Telecommunications","score_opus":0.027828999900472596,"score_gpt":0.30397785800815913,"score_spread":0.2761488581076865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734628372","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":[0.014888762,0.00066566846,0.98015666,0.00056869216,0.0001096246,0.00021585077,0.00011505345,0.0003616253,0.0029181193],"genre_scores_gemma":[0.8532502,0.00096376525,0.14089413,0.00035384585,0.00017139905,0.00045264562,0.00015605317,0.00008050484,0.0036774748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99281186,0.0032375655,0.00043948763,0.0013146468,0.001375481,0.00082104164],"domain_scores_gemma":[0.9751729,0.017378774,0.0027192284,0.002916679,0.0012943806,0.0005181408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010121918,0.0014906931,0.0018817711,0.0014617097,0.0011872624,0.0034008569,0.0043875407,0.0034722262,0.004328525],"category_scores_gemma":[0.026999556,0.00091386936,0.0017881673,0.0019533816,0.0024592152,0.0061333464,0.0028759595,0.003149364,0.00064477144],"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":[0.00068149203,0.00028449917,0.000987796,0.0006620749,0.00019841421,0.0005434051,0.0003943107,0.480694,0.008156757,0.42136988,0.0040975153,0.081929855],"study_design_scores_gemma":[0.00019676356,0.00017865264,0.0001860014,0.00005530591,0.00006626015,0.00023035098,0.000051029503,0.8445855,0.0024465201,0.14861725,0.003328078,0.00005831255],"about_ca_topic_score_codex":0.0009929881,"about_ca_topic_score_gemma":0.0007553412,"teacher_disagreement_score":0.010121918,"about_ca_system_score_codex":0.0021397308,"about_ca_system_score_gemma":0.0025713695,"threshold_uncertainty_score":0.053530455},"labels":[],"label_agreement":null},{"id":"W2735661607","doi":"10.1109/tvt.2017.2725641","title":"Cross-Layer Power Allocation in Nonorthogonal Multiple Access Systems for Statistical QoS Provisioning","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":30,"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":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Quality of service; Computer science; Physical layer; Noma; Mathematical optimization; Power (physics); Cross-layer optimization; Power domains; Computer network; Distributed computing; Telecommunications link; Mathematics; Wireless; Telecommunications; Wireless network","score_opus":0.02824358310684932,"score_gpt":0.32165195210287534,"score_spread":0.293408368996026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735661607","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":[0.03500492,0.00056743,0.9620982,0.000095636584,0.00004566813,0.000030074481,0.000011419699,0.00010320308,0.0020434991],"genre_scores_gemma":[0.90678674,0.00041813267,0.091052435,0.00012843766,0.00004622261,0.00007547466,0.000023040235,0.0000259013,0.001443512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990056,0.0004579941,0.000040176055,0.00013776771,0.0002526085,0.00010596333],"domain_scores_gemma":[0.999067,0.0005439808,0.00012740781,0.000091894675,0.00013510091,0.000034647615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001519018,0.00073601876,0.00047362264,0.00049058377,0.00054854015,0.0009967297,0.00086732785,0.00052398216,0.001022791],"category_scores_gemma":[0.0023283295,0.00038357655,0.00035733188,0.0008822994,0.0008722234,0.0008888744,0.0011059949,0.0006816705,0.00025580198],"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":[0.00015480087,0.00014643231,0.00063335395,0.00010730161,0.00008204667,0.00021155948,0.0001673364,0.840871,0.01664075,0.04199087,0.0012290005,0.09776561],"study_design_scores_gemma":[0.000007589845,0.000037507714,0.00008778036,0.0000040373607,0.000008754322,0.00005078782,0.000012996184,0.9927336,0.0019037065,0.004804342,0.00034298166,0.000005932663],"about_ca_topic_score_codex":0.00094013824,"about_ca_topic_score_gemma":0.0014458975,"teacher_disagreement_score":0.001519018,"about_ca_system_score_codex":0.00054568116,"about_ca_system_score_gemma":0.00081181136,"threshold_uncertainty_score":0.008033454},"labels":[],"label_agreement":null},{"id":"W2735932416","doi":"10.1109/tvt.2017.2728008","title":"Joint Maximum Likelihood Timing, Frequency Offset, and Doubly Selective Channel Estimation for OFDM Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":49,"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","funders":"","keywords":"Orthogonal frequency-division multiplexing; Algorithm; Cramér–Rao bound; Channel (broadcasting); Frequency offset; Carrier frequency offset; Preamble; Joint (building); Computational complexity theory; Offset (computer science); Computer science; Estimation theory; Maximum likelihood; Frequency-division multiplexing; Electronic engineering; Mathematics; Engineering; Statistics; Telecommunications","score_opus":0.021177166588005353,"score_gpt":0.2596204006791254,"score_spread":0.23844323409112003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735932416","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003594457,0.00019806362,0.9957689,0.000029880353,0.000009233147,0.0000064983874,0.000016319847,0.00014474966,0.00023196716],"genre_scores_gemma":[0.26897722,0.00074529095,0.72685367,0.000052712858,0.0000999294,0.000118701704,0.00029288564,0.0000898668,0.0027697033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999345,0.00025060444,0.000031379095,0.00007110366,0.0002471398,0.000054771484],"domain_scores_gemma":[0.9991372,0.0005417624,0.000110369954,0.00009193761,0.000097751035,0.00002092596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007186839,0.00075744634,0.00081087585,0.0005517072,0.00031491555,0.00061092706,0.00060624524,0.00063886255,0.00093274],"category_scores_gemma":[0.0037571497,0.00045218307,0.00048298942,0.0006691311,0.0004119337,0.00092214544,0.00088884734,0.0008517961,0.0005526485],"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":[0.00029741979,0.0000783603,0.0011890371,0.00022959063,0.00011407448,0.00018552704,0.00016630282,0.55769014,0.02877704,0.019752271,0.0016717177,0.38984856],"study_design_scores_gemma":[0.000011869608,0.000032591302,0.00029936063,0.000008011405,0.000010464848,0.00007521043,0.000009097864,0.9906018,0.004872072,0.0031589763,0.00090454024,0.000015927888],"about_ca_topic_score_codex":0.0013891138,"about_ca_topic_score_gemma":0.0018648186,"teacher_disagreement_score":0.0013891138,"about_ca_system_score_codex":0.0002718745,"about_ca_system_score_gemma":0.001114245,"threshold_uncertainty_score":0.0038008094},"labels":[],"label_agreement":null},{"id":"W2736464254","doi":"10.1109/tvt.2017.2729346","title":"Capacity- and Trust-Aware BS Cooperation in Nonuniform HetNets: Spectral Efficiency and Optimal BS Density","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"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 Waterloo","funders":"China Scholarship Council; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Base station; Stochastic geometry; Spectral efficiency; Computer science; Coverage probability; Interference (communication); Fading; Path loss; Signal-to-noise ratio (imaging); Computer network; Topology (electrical circuits); Mathematical optimization; Algorithm; Telecommunications; Decoding methods; Mathematics; Engineering; Statistics; Wireless; Electrical engineering","score_opus":0.00757651597766522,"score_gpt":0.2113105697926469,"score_spread":0.20373405381498166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736464254","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":[0.20890938,0.0013927411,0.78191495,0.0003534909,0.000049120335,0.00006013977,0.00007177252,0.0001168878,0.0071315314],"genre_scores_gemma":[0.99222034,0.0003380713,0.0068519036,0.00003292221,0.000015448264,0.000022174798,0.000014989114,0.000010168844,0.0004939474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988462,0.0004918687,0.000040434843,0.00017822698,0.00020527735,0.00023799691],"domain_scores_gemma":[0.99569976,0.0026056734,0.0006790991,0.00030626915,0.0005208606,0.00018837914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017833835,0.0011110886,0.0010522623,0.0007084649,0.00068645197,0.0012384086,0.0011611477,0.00068103056,0.0006764144],"category_scores_gemma":[0.007683647,0.00043227425,0.0005348139,0.0008319605,0.0017877452,0.0021438652,0.0018232273,0.00053360633,0.00016659638],"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":[0.000107880376,0.000045594985,0.002045913,0.00007317435,0.000058928385,0.00028630949,0.00014959906,0.95539916,0.0045334427,0.028729903,0.0004070396,0.008163089],"study_design_scores_gemma":[0.000005738501,0.0000533286,0.00045219748,0.000007775692,0.000022118968,0.00011088643,0.00009906683,0.9915229,0.0011143653,0.006393357,0.00020609332,0.000012245369],"about_ca_topic_score_codex":0.0029926964,"about_ca_topic_score_gemma":0.0022225163,"teacher_disagreement_score":0.0029926964,"about_ca_system_score_codex":0.0014776431,"about_ca_system_score_gemma":0.00088917516,"threshold_uncertainty_score":0.010721087},"labels":[],"label_agreement":null},{"id":"W2739000377","doi":"10.1109/tvt.2017.2731820","title":"Performance Scaling Law for Multicell Multiuser Massive MIMO","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"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 Natural Science Foundation of China","keywords":"MIMO; Telecommunications link; Base station; Scaling; Signal-to-interference-plus-noise ratio; Channel (broadcasting); Computer science; Topology (electrical circuits); Precoding; Spatial correlation; Mathematics; Applied mathematics; Mathematical optimization; Telecommunications; Power (physics); Physics; Geometry","score_opus":0.011407857633339857,"score_gpt":0.23583163455368686,"score_spread":0.224423776920347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739000377","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":[0.06539907,0.003034787,0.9021489,0.0005656855,0.00012577162,0.00005557616,0.00016190509,0.00064325595,0.02786507],"genre_scores_gemma":[0.97019607,0.001990205,0.024348272,0.00024298088,0.00016071608,0.00007684131,0.00010690297,0.000103196966,0.0027747923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914396,0.00021306063,0.0000262381,0.00010714076,0.00037666247,0.000132949],"domain_scores_gemma":[0.9968297,0.001648827,0.0003948083,0.00035458122,0.0006932274,0.0000788145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011320087,0.0008529726,0.0006031788,0.0007390315,0.00048788034,0.0011987162,0.0005812739,0.00069082814,0.001489316],"category_scores_gemma":[0.0075681107,0.00032556336,0.00036225596,0.0009594201,0.0010345973,0.0011545083,0.0009983059,0.0012960137,0.0005482592],"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":[0.00006288463,0.000065308785,0.001358156,0.0002246897,0.00004381974,0.0004410048,0.00031154818,0.77235186,0.021505997,0.16304044,0.002879795,0.037714515],"study_design_scores_gemma":[0.0000017117228,0.00003122135,0.00039857853,0.000017473047,0.000005630923,0.0001323117,0.000037560167,0.98049486,0.0016969112,0.016189987,0.0009769284,0.000016868227],"about_ca_topic_score_codex":0.0019140062,"about_ca_topic_score_gemma":0.0009840413,"teacher_disagreement_score":0.0019140062,"about_ca_system_score_codex":0.0012814056,"about_ca_system_score_gemma":0.00059725996,"threshold_uncertainty_score":0.009297311},"labels":[],"label_agreement":null},{"id":"W2739334600","doi":"10.1109/tvt.2017.2728823","title":"Real-Time Backstepping Control for Fuel Cell Vehicle Using Supercapacitors","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":51,"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 Trois-Rivières","funders":"","keywords":"Backstepping; Supercapacitor; Stability (learning theory); Control engineering; Control (management); Key (lock); Engineering; Control theory (sociology); Fuel cells; Computer science; Control system; Nonlinear system; Adaptive control; Capacitance; Artificial intelligence","score_opus":0.012085379730727114,"score_gpt":0.22605597396284344,"score_spread":0.2139705942321163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739334600","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":[0.16226405,0.0007948581,0.8266834,0.00024966052,0.00021271386,0.00010357861,0.000057046225,0.000845796,0.008788792],"genre_scores_gemma":[0.9893155,0.00013505878,0.008853526,0.000024925534,0.000008514448,0.000036409143,0.000015358592,0.000008580345,0.0016021851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982053,0.000022682636,0.000012661708,0.000041865464,0.00008237336,0.000019995607],"domain_scores_gemma":[0.99984336,0.000043960572,0.00002432698,0.00001496722,0.000063555475,0.000009834089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020069374,0.00042931343,0.00028093724,0.00018754136,0.00028691068,0.0005542437,0.000747136,0.0003301776,0.00085968996],"category_scores_gemma":[0.00034451997,0.00013435056,0.00024706204,0.0002119476,0.00035544217,0.00027924153,0.0003961018,0.0004121839,0.00011837175],"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":[0.0006321405,0.00017055467,0.0009871518,0.0005529588,0.00010040104,0.00068831467,0.00037615022,0.6129725,0.22187528,0.012102352,0.001902274,0.14763984],"study_design_scores_gemma":[0.000017036195,0.00017849429,0.0001686963,0.000008690961,0.000013346013,0.000041869942,0.000019140703,0.9782557,0.019431684,0.00072594866,0.0011266306,0.0000128184165],"about_ca_topic_score_codex":0.004154178,"about_ca_topic_score_gemma":0.0031497814,"teacher_disagreement_score":0.004154178,"about_ca_system_score_codex":0.0003649813,"about_ca_system_score_gemma":0.00036501713,"threshold_uncertainty_score":0.008260012},"labels":[],"label_agreement":null},{"id":"W2742476617","doi":"10.1109/tvt.2017.2738024","title":"Energy-Efficiency Versus Delay Tradeoff in Wireless Networks Virtualization","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":41,"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":"Higher Education Discipline Innovation Project; Ministry of Science and Technology, Taiwan; National Natural Science Foundation of China","keywords":"Virtualization; Computer science; Physical layer; Wireless; Efficient energy use; Wireless network; Lyapunov optimization; Mathematical optimization; Computer network; Engineering; Mathematics; Telecommunications","score_opus":0.00890338431236119,"score_gpt":0.22325117649464002,"score_spread":0.21434779218227884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742476617","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":[0.15663016,0.0038147813,0.8284677,0.0011390946,0.0001573121,0.000036019144,0.000042478016,0.00010810129,0.009604363],"genre_scores_gemma":[0.9878896,0.0008455622,0.010403916,0.00006652367,0.00003935238,0.000017925415,0.000008726989,0.000024709132,0.0007037644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989429,0.00046837298,0.00004068649,0.00012333154,0.0001887798,0.00023592322],"domain_scores_gemma":[0.9977679,0.0016208417,0.00020527684,0.0001327001,0.00017714746,0.00009617159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019949926,0.000782051,0.00066703756,0.00033951405,0.00045095477,0.001900277,0.0006554277,0.0007311765,0.00082573114],"category_scores_gemma":[0.005835331,0.00030493902,0.00034462495,0.0005463538,0.0009641985,0.0031570226,0.001499847,0.0010079296,0.00009070002],"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":[0.00016758636,0.00007919074,0.00083284895,0.00015417328,0.00004962341,0.0001775805,0.00012963206,0.75780773,0.015185305,0.19893965,0.00063301047,0.025843687],"study_design_scores_gemma":[0.0000068343625,0.00008241932,0.00031050012,0.000019331303,0.000023684235,0.00010784285,0.00008049426,0.9600098,0.0039355103,0.034703698,0.0007040786,0.000015852664],"about_ca_topic_score_codex":0.000484235,"about_ca_topic_score_gemma":0.00038743493,"teacher_disagreement_score":0.0019949926,"about_ca_system_score_codex":0.0012711405,"about_ca_system_score_gemma":0.0008551963,"threshold_uncertainty_score":0.010550678},"labels":[],"label_agreement":null},{"id":"W2743030711","doi":"10.1109/tvt.2017.2738323","title":"Characterizing Mutual Information of Multistream MIMO-SVD Systems in Heterogeneous Random Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Computer science; Rayleigh fading; Cumulative distribution function; Channel state information; Transmitter; Mutual information; Fading; Nakagami distribution; Gaussian; Topology (electrical circuits); Algorithm; Probability density function; Electronic engineering; Telecommunications; Mathematics; Decoding methods; Channel (broadcasting); Statistics; Engineering; Wireless; Physics; Artificial intelligence","score_opus":0.006445209374433277,"score_gpt":0.2094789397359046,"score_spread":0.20303373036147132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743030711","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":[0.20315903,0.00047231314,0.7924296,0.00020934097,0.000013940095,0.000042074415,0.0001610951,0.00019545804,0.0033172057],"genre_scores_gemma":[0.98759437,0.00026299502,0.011160634,0.00004073352,0.000020195772,0.00004404621,0.000090018606,0.00002371379,0.0007632919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989918,0.0003138633,0.00004917802,0.0001824246,0.00029200004,0.00017068407],"domain_scores_gemma":[0.9933123,0.0048739603,0.0009303886,0.00030933184,0.00045704778,0.00011693567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014803692,0.0006021386,0.0007096376,0.00084330584,0.0003042708,0.0008911739,0.0007059551,0.00083928596,0.0005545967],"category_scores_gemma":[0.0084674135,0.00038640655,0.00038105244,0.0007909657,0.0010485527,0.0013547752,0.0010491671,0.0005403722,0.00013616195],"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":[0.000055426874,0.000022338745,0.002815252,0.00004336628,0.000036847192,0.00016134855,0.00005951246,0.9607259,0.0027262233,0.026034517,0.00023432549,0.0070848865],"study_design_scores_gemma":[0.000001482991,0.000016309315,0.0006822423,0.000003887269,0.0000049098185,0.000041362782,0.000014589784,0.9930512,0.0005848609,0.005511444,0.00007956,0.0000081391845],"about_ca_topic_score_codex":0.002245454,"about_ca_topic_score_gemma":0.0015758586,"teacher_disagreement_score":0.002245454,"about_ca_system_score_codex":0.0011890358,"about_ca_system_score_gemma":0.0005653261,"threshold_uncertainty_score":0.008627117},"labels":[],"label_agreement":null},{"id":"W2745125159","doi":"10.1109/tvt.2017.2735414","title":"Joint Design of Optimal Precoding and Cooperative Jamming for Multiuser Secure Broadcast Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Queen's University","funders":"National Research Foundation of Korea","keywords":"Precoding; Jamming; Artificial noise; Covariance matrix; Base station; Computer science; Zero-forcing precoding; Covariance; Signal-to-noise ratio (imaging); Interference (communication); Asymptotically optimal algorithm; Iterative method; Algorithm; Mathematical optimization; Mathematics; Beamforming; Telecommunications; MIMO; Wireless; Statistics; Physical layer; Physics","score_opus":0.035468298721844184,"score_gpt":0.2621483525013123,"score_spread":0.22668005377946812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745125159","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":[0.018898726,0.00021406155,0.97837013,0.00016888119,0.000021835673,0.000043539294,0.00004201693,0.0001177685,0.0021231207],"genre_scores_gemma":[0.8843694,0.00044966186,0.112157606,0.00012133342,0.000054902983,0.00023515982,0.00011184017,0.000039867955,0.0024601612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982855,0.0006288962,0.00006592563,0.0002813663,0.0004563436,0.00028197418],"domain_scores_gemma":[0.99810326,0.001005499,0.00033123427,0.00012213769,0.0003392002,0.000098604396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016612776,0.001636701,0.0015144482,0.00060734234,0.0005270658,0.0014174216,0.0011362728,0.0014678297,0.0013060918],"category_scores_gemma":[0.0044608093,0.001003489,0.0006880246,0.00090957014,0.001535752,0.0012206103,0.0018045496,0.0012238992,0.0004679657],"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":[0.00018492785,0.000050588198,0.00041667817,0.00012389943,0.000072516516,0.00013778076,0.00015540025,0.95155144,0.0051820027,0.01923151,0.00066178176,0.022231538],"study_design_scores_gemma":[0.000024557075,0.0000502232,0.00006321589,0.0000069464672,0.000014937366,0.000019073577,0.000019940195,0.994928,0.000880795,0.0037427344,0.00024034755,0.0000092244],"about_ca_topic_score_codex":0.0035732344,"about_ca_topic_score_gemma":0.0038818058,"teacher_disagreement_score":0.0035732344,"about_ca_system_score_codex":0.0012099999,"about_ca_system_score_gemma":0.0022331518,"threshold_uncertainty_score":0.008785725},"labels":[],"label_agreement":null},{"id":"W2746953916","doi":"10.1109/tvt.2017.2744604","title":"A Mathematical Model of Multispeed Transmissions in Electric Vehicles in the Presence of Gear Shifting","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Backlash; Flexibility (engineering); Context (archaeology); Engineering; Transmission (telecommunications); Dissipation; Vehicle dynamics; Automotive engineering; Mechanism (biology); Control engineering; Computer science; Topology (electrical circuits); Mechanical engineering; Electrical engineering","score_opus":0.0144459955291885,"score_gpt":0.23893100833029035,"score_spread":0.22448501280110186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746953916","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":[0.033421427,0.0021284216,0.9026881,0.0010476991,0.00035128818,0.000111102534,0.00057719345,0.00029789825,0.05937695],"genre_scores_gemma":[0.90030384,0.0035247526,0.029832903,0.00030628557,0.00023141818,0.0004478276,0.0005100674,0.000116743846,0.06472618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997539,0.000046762067,0.000015902106,0.000060145812,0.000090275185,0.000033159526],"domain_scores_gemma":[0.99975187,0.00008117218,0.0000619023,0.000017522734,0.00007271011,0.000014895879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041541594,0.0009942098,0.0007288217,0.0007707664,0.00062240724,0.0013153539,0.0017161621,0.0019079074,0.004117476],"category_scores_gemma":[0.0008164284,0.0004467436,0.00086899434,0.00073233934,0.0007144432,0.0018197325,0.00088797923,0.0012929449,0.0011520792],"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":[0.000025382633,0.00003220837,0.00038585058,0.00016507148,0.000016421489,0.0003953554,0.00014686819,0.9269808,0.004160505,0.061035503,0.001225562,0.005430401],"study_design_scores_gemma":[0.00000544596,0.000028315699,0.00013894013,0.00001316211,0.000007608047,0.000064309475,0.000027886945,0.9920557,0.00022569035,0.0054570087,0.0019650334,0.000010873213],"about_ca_topic_score_codex":0.006082259,"about_ca_topic_score_gemma":0.0031560878,"teacher_disagreement_score":0.006082259,"about_ca_system_score_codex":0.0006945828,"about_ca_system_score_gemma":0.00068402407,"threshold_uncertainty_score":0.013774395},"labels":[],"label_agreement":null},{"id":"W2748007047","doi":"10.1109/tvt.2017.2744560","title":"Ascending-Price Progressive Spectrum Auction for Cognitive Radio Networks With Power-Constrained Multiradio Secondary Users","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":39,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Computer science; Spectrum auction; Common value auction; Revenue; Bidding; Incentive compatibility; Quality of service; Mathematical optimization; Computer network; Channel (broadcasting); Auction theory; Microeconomics; Incentive; Revenue equivalence; Telecommunications; Economics; Mathematics; Wireless","score_opus":0.009177982845927357,"score_gpt":0.24088302194117048,"score_spread":0.23170503909524312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748007047","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":[0.06436434,0.0005586806,0.92996716,0.0001672243,0.0000638798,0.0001676799,0.000029842426,0.00008927641,0.004591856],"genre_scores_gemma":[0.93757445,0.0003593548,0.060009874,0.00005920362,0.000042126754,0.00009165683,0.000024131612,0.000017379358,0.0018219049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984074,0.00066592515,0.00007014001,0.00022332155,0.00034606998,0.0002870822],"domain_scores_gemma":[0.99852234,0.00083891884,0.00021354872,0.00012080034,0.00017114375,0.00013329972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021273263,0.0008755979,0.0016435214,0.0004582714,0.0007711693,0.0016761882,0.00219054,0.0009124285,0.001625672],"category_scores_gemma":[0.003875104,0.00048077703,0.0009614913,0.00085370557,0.0012154579,0.002091997,0.0010318599,0.0012545048,0.00021462012],"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":[0.00031751976,0.00034109535,0.0013604821,0.00027715098,0.00015155066,0.00072414393,0.0002569231,0.86524665,0.0064418027,0.074972846,0.0011269965,0.048782796],"study_design_scores_gemma":[0.000035876918,0.00010518959,0.00012873787,0.000005399868,0.000021306947,0.00014851776,0.000033817672,0.98384136,0.00048107048,0.0147341965,0.00045233866,0.000012229623],"about_ca_topic_score_codex":0.0024144643,"about_ca_topic_score_gemma":0.0020853917,"teacher_disagreement_score":0.0024144643,"about_ca_system_score_codex":0.0010048404,"about_ca_system_score_gemma":0.001638431,"threshold_uncertainty_score":0.011250496},"labels":[],"label_agreement":null},{"id":"W2748166927","doi":"10.1109/tvt.2017.2740724","title":"Distributed Multiuser Computation Offloading for Cloudlet-Based Mobile Cloud Computing: A Game-Theoretic Machine Learning Approach","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":211,"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 Manitoba","funders":"","keywords":"Cloudlet; Computer science; Computation offloading; Cloud computing; Distributed computing; Nash equilibrium; Mobile device; Potential game; Mobile cloud computing; Mobile computing; Wireless; Computation; Edge computing; Computer network; Mathematical optimization; Algorithm; Operating system","score_opus":0.015863905085028607,"score_gpt":0.2616080857290687,"score_spread":0.24574418064404008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748166927","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":[0.019379675,0.00022882567,0.9773496,0.00037818385,0.000034078817,0.00007969472,0.000020116167,0.00004134618,0.002488417],"genre_scores_gemma":[0.9167976,0.00039557499,0.07965924,0.00016107275,0.00008425604,0.00014470587,0.000026405098,0.000026139189,0.0027050942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988757,0.00050238904,0.00003622769,0.00018986515,0.00021517229,0.00018068695],"domain_scores_gemma":[0.9976755,0.0017597307,0.00018131861,0.00009346246,0.00018951806,0.00010046317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015091829,0.0010539015,0.0017144065,0.0005726754,0.00075140013,0.0016192594,0.0016027014,0.0013236773,0.001439906],"category_scores_gemma":[0.0031253118,0.00043314378,0.0006754243,0.00079340657,0.0016977271,0.001915117,0.0012122847,0.001581765,0.0001466757],"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":[0.000053083608,0.000077587596,0.000460893,0.000066713386,0.000039330134,0.00009980761,0.000055736447,0.945919,0.00121234,0.041318413,0.0005416991,0.010155416],"study_design_scores_gemma":[0.0000027777926,0.000008175146,0.000028824415,0.0000016576125,0.000002391437,0.00000997147,0.000007188176,0.99520016,0.00009050033,0.004569079,0.00007699056,0.0000022535553],"about_ca_topic_score_codex":0.0037872274,"about_ca_topic_score_gemma":0.0033411644,"teacher_disagreement_score":0.0037872274,"about_ca_system_score_codex":0.0018501607,"about_ca_system_score_gemma":0.0016273289,"threshold_uncertainty_score":0.01342392},"labels":[],"label_agreement":null},{"id":"W2748476900","doi":"10.1109/tvt.2017.2743058","title":"Efficient Resource Allocation in Device-to-Device Communication Using Cognitive Radio Technology","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":86,"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":"Underlay; Cognitive radio; Computer science; Subcarrier; Overlay; Interference (communication); Resource allocation; Computer network; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Electronic engineering; Wireless; Signal-to-noise ratio (imaging); Engineering; Telecommunications","score_opus":0.01639104819512479,"score_gpt":0.26544169016277636,"score_spread":0.24905064196765156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748476900","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":[0.022194318,0.0007366455,0.97351956,0.000107004234,0.000040657247,0.00003476902,0.000018324728,0.000087386805,0.0032613233],"genre_scores_gemma":[0.924712,0.0007802926,0.072646335,0.00007306581,0.00004622093,0.00008106705,0.000023545284,0.000019828743,0.0016176683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944264,0.00018033301,0.000018347522,0.00008784749,0.00013514668,0.00013572894],"domain_scores_gemma":[0.9996588,0.00020159486,0.00004091986,0.00002625603,0.00005105109,0.000021463784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006570359,0.0009070396,0.0008485509,0.0004991976,0.00055643456,0.0011384863,0.0009781464,0.000755163,0.0007957959],"category_scores_gemma":[0.0012823055,0.00037126863,0.00043208888,0.00091917004,0.00081321504,0.0009769417,0.0010823858,0.0005542606,0.00014344591],"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":[0.00005503255,0.000036590704,0.0003152101,0.00008708906,0.000032558415,0.00014591169,0.00005721187,0.9406324,0.0047707055,0.02216507,0.00078090624,0.030921245],"study_design_scores_gemma":[0.0000060680877,0.00002878095,0.00005875985,0.0000029826545,0.0000072411244,0.000032646043,0.000011221169,0.99480975,0.0006769551,0.0039601936,0.00039863714,0.0000067349133],"about_ca_topic_score_codex":0.0034993791,"about_ca_topic_score_gemma":0.0033873534,"teacher_disagreement_score":0.0034993791,"about_ca_system_score_codex":0.0008846401,"about_ca_system_score_gemma":0.001298374,"threshold_uncertainty_score":0.0069580674},"labels":[],"label_agreement":null},{"id":"W2750782927","doi":"10.1109/tvt.2017.2750538","title":"Formation of Cognitive Personal Area Networks (CPANs) Using Probabilistic Rendezvous","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rendezvous; Probabilistic logic; Node (physics); Computer science; Skewness; Computer network; Protocol (science); Distributed computing; Topology (electrical circuits); Mathematics; Engineering; Artificial intelligence; Statistics","score_opus":0.024784957480275295,"score_gpt":0.2534659347376908,"score_spread":0.2286809772574155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750782927","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":[0.04740244,0.00013606399,0.9494352,0.00011685314,0.000033167005,0.000048518483,0.000024215751,0.00016722498,0.002636379],"genre_scores_gemma":[0.9304063,0.00022951867,0.0662483,0.000073681105,0.000034871366,0.00011644304,0.000050319704,0.000037773065,0.0028029298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989838,0.00026094675,0.00003349493,0.00024721448,0.0003269873,0.00014749989],"domain_scores_gemma":[0.99839467,0.00068767456,0.00034336591,0.0002419224,0.000223258,0.0001091164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010734192,0.00062957226,0.00062410376,0.00057633565,0.0009219206,0.00078835303,0.0014801373,0.000820713,0.0006918767],"category_scores_gemma":[0.003945073,0.0004913859,0.00067939895,0.0005465676,0.0013059033,0.0015954677,0.0020477322,0.0009923205,0.00020904507],"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":[0.00010187614,0.000050203882,0.0011796906,0.00006317561,0.00006719316,0.00024697318,0.0002890117,0.901531,0.012317719,0.06303734,0.0007027798,0.020413056],"study_design_scores_gemma":[0.000012093656,0.000050392202,0.00020882765,0.000004036745,0.000011084816,0.000104016726,0.000042931624,0.98006713,0.0018955361,0.01646992,0.0011177303,0.000016415435],"about_ca_topic_score_codex":0.0045690164,"about_ca_topic_score_gemma":0.003325374,"teacher_disagreement_score":0.0045690164,"about_ca_system_score_codex":0.00075744634,"about_ca_system_score_gemma":0.0011649983,"threshold_uncertainty_score":0.00908488},"labels":[],"label_agreement":null},{"id":"W2750882047","doi":"10.1109/tvt.2017.2749600","title":"Equilibriums in the Mobile-Virtual-Network-Operator-Oriented Data Offloading","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Communications Research Centre Canada","funders":"Shanghai Key Laboratory of Digital Media Processing and Transmission; Universidade de Macau; National Natural Science Foundation of China","keywords":"Stackelberg competition; Cellular network; Computer science; Computer network; Cournot competition; Mobile network operator; Operator (biology); Game theory; Microeconomics; Economics","score_opus":0.016875932612160284,"score_gpt":0.25753515364719426,"score_spread":0.24065922103503398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750882047","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":[0.44446787,0.0003631896,0.504804,0.0015804864,0.00008879945,0.000224129,0.00030627704,0.00022460509,0.04794064],"genre_scores_gemma":[0.98288995,0.00016281124,0.012293419,0.00011192617,0.000016356329,0.00009982033,0.000045719342,0.00002963139,0.004350306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989229,0.00044365771,0.000033086428,0.00014777629,0.00014649211,0.00030607026],"domain_scores_gemma":[0.9973563,0.0015970632,0.0004113284,0.00008584752,0.00022409759,0.00032538877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014175544,0.00084217836,0.0010833358,0.00072973,0.0012526697,0.00205241,0.0011823198,0.0016050684,0.005390866],"category_scores_gemma":[0.004958651,0.00054264715,0.0011370996,0.00044949984,0.002020822,0.001973827,0.0015104882,0.0012273781,0.00042127483],"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":[0.00034492667,0.0002775113,0.0024402617,0.00015197172,0.00012537578,0.00084714056,0.00044851121,0.4532354,0.0055822013,0.5250296,0.0031439464,0.008373174],"study_design_scores_gemma":[0.00004983338,0.00007669309,0.00048190798,0.000019739175,0.000024372652,0.0000968644,0.00023961322,0.88885754,0.0004972125,0.10860377,0.0010216861,0.000030827614],"about_ca_topic_score_codex":0.0072895503,"about_ca_topic_score_gemma":0.0053170654,"teacher_disagreement_score":0.0072895503,"about_ca_system_score_codex":0.0021284209,"about_ca_system_score_gemma":0.0019397174,"threshold_uncertainty_score":0.01803422},"labels":[],"label_agreement":null},{"id":"W2756899528","doi":"10.1109/tvt.2017.2757034","title":"Efficiency of Power Ramping During Random Access in LTE","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":6,"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":"Retransmission; Telecommunications link; Control channel; Power (physics); Power control; Throughput; Computer network; Channel (broadcasting); Computer science; Random access; Engineering; Network packet; Telecommunications; Wireless","score_opus":0.010459485666574049,"score_gpt":0.26213568377970015,"score_spread":0.2516761981131261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756899528","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":[0.9660134,0.0007944651,0.030892922,0.00011431763,0.000021917462,0.000023114288,0.0000525087,0.00034693445,0.0017404795],"genre_scores_gemma":[0.9992859,0.00004028852,0.00059299043,0.000012561079,0.0000027655333,0.0000033168901,0.000010715715,0.000005493011,0.000045928602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892247,0.0003531558,0.000068458845,0.00013567977,0.0002209455,0.0002993552],"domain_scores_gemma":[0.99168915,0.0056801215,0.0009571344,0.00077509036,0.0006958146,0.00020276713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016112645,0.0006615953,0.0005135187,0.0004738331,0.00041463596,0.00060420757,0.0006503682,0.00043862182,0.00049324],"category_scores_gemma":[0.009692279,0.00017718133,0.00021441968,0.0003423951,0.00073463976,0.0012360952,0.00058282336,0.00041547595,0.00010832284],"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":[0.0029528441,0.00030549933,0.042283647,0.00027718238,0.00015748074,0.0011310081,0.00035674174,0.7564857,0.10223804,0.004150832,0.00057486235,0.089086115],"study_design_scores_gemma":[0.000047400063,0.0015029027,0.023750484,0.00003561043,0.00012609435,0.0009875579,0.00023145083,0.91199845,0.057919342,0.0028155746,0.00051628315,0.00006889089],"about_ca_topic_score_codex":0.001744071,"about_ca_topic_score_gemma":0.0015440191,"teacher_disagreement_score":0.001744071,"about_ca_system_score_codex":0.00050889765,"about_ca_system_score_gemma":0.00040274372,"threshold_uncertainty_score":0.008521259},"labels":[],"label_agreement":null},{"id":"W2757504301","doi":"10.1109/tvt.2017.2754489","title":"Self-Interference Cancellation With Nonlinearity and Phase-Noise Suppression in Full-Duplex Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Baseband; Phase noise; Electronic engineering; Single antenna interference cancellation; Transmitter; Multiplexing; Control theory (sociology); Adjacent-channel interference; Amplifier; Algorithm; Computer science; Engineering; Channel (broadcasting); Interference (communication); Telecommunications","score_opus":0.012801834364275887,"score_gpt":0.24877860791105544,"score_spread":0.23597677354677954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757504301","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":[0.030254517,0.00054822234,0.9666648,0.000063189225,0.00002070819,0.000012309972,0.00001741654,0.00022753792,0.0021912828],"genre_scores_gemma":[0.8055698,0.00076866744,0.18803763,0.00007890255,0.00006710367,0.000055588356,0.000063414074,0.000057124966,0.0053017247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971217,0.00007352983,0.0000092419405,0.000033407494,0.00014340303,0.000028154076],"domain_scores_gemma":[0.99966884,0.00017249645,0.000047392892,0.00003564265,0.00006604886,0.000009566759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003327584,0.00041234485,0.00041880968,0.00026485932,0.00027666363,0.0005056322,0.00046172226,0.00049990875,0.0008041997],"category_scores_gemma":[0.0009813228,0.00024708748,0.00035760313,0.00034231972,0.00048333372,0.0007688668,0.00066766277,0.00043719646,0.00037921715],"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":[0.00013798858,0.00007512118,0.0013536011,0.00021508514,0.00006938991,0.00018376236,0.00029306693,0.6639824,0.06898563,0.032724958,0.0007350637,0.23124394],"study_design_scores_gemma":[0.0000060200005,0.00005346868,0.00027052726,0.000008927353,0.000006877805,0.00010312974,0.000017588114,0.98646057,0.008941673,0.0029975083,0.0011195509,0.000014157402],"about_ca_topic_score_codex":0.0016119067,"about_ca_topic_score_gemma":0.0020271423,"teacher_disagreement_score":0.0016119067,"about_ca_system_score_codex":0.00032123466,"about_ca_system_score_gemma":0.00061809045,"threshold_uncertainty_score":0.0032050014},"labels":[],"label_agreement":null},{"id":"W2758471278","doi":"10.1109/tvt.2017.2754273","title":"Resource Allocation for Green Cloud Radio Access Networks With Hybrid Energy Supplies","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":61,"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 Waterloo","funders":"Innovation-Driven Project of Central South University; National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Telecommunications link; Resource allocation; Mathematical optimization; Distributed computing; Computer network; Mathematics","score_opus":0.00996722425885757,"score_gpt":0.21861341124599407,"score_spread":0.2086461869871365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758471278","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":[0.09927098,0.000972306,0.894598,0.00030004638,0.00006468679,0.00006620071,0.000046158068,0.0001667608,0.004514826],"genre_scores_gemma":[0.96634936,0.00026718905,0.031858355,0.000079160935,0.000026179798,0.000044505905,0.000018171126,0.000019990583,0.0013372093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969375,0.00008634004,0.0000078707535,0.000053731823,0.00006479028,0.00009355218],"domain_scores_gemma":[0.9996687,0.00019275768,0.000047528672,0.00002058126,0.00004222686,0.00002825315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055656955,0.00058952335,0.00058944756,0.00030567776,0.0004600265,0.0008978255,0.00082791346,0.00041299866,0.0011060244],"category_scores_gemma":[0.0009144273,0.00021312476,0.00023646677,0.0005912407,0.00067570084,0.0009862873,0.000849824,0.00043297993,0.000118338794],"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":[0.00008211056,0.00004257801,0.000487821,0.000050993334,0.000026257681,0.000084854975,0.000048571157,0.9522996,0.0032414806,0.0155795,0.0006684215,0.02738784],"study_design_scores_gemma":[0.000004752101,0.000017368844,0.00006561825,0.0000021023827,0.0000048680986,0.000013610566,0.000020697462,0.99602365,0.0004330456,0.0030912685,0.00032059592,0.0000024338742],"about_ca_topic_score_codex":0.002874248,"about_ca_topic_score_gemma":0.0037098601,"teacher_disagreement_score":0.002874248,"about_ca_system_score_codex":0.0009775395,"about_ca_system_score_gemma":0.00072935806,"threshold_uncertainty_score":0.0070926547},"labels":[],"label_agreement":null},{"id":"W2759265425","doi":"10.1109/tvt.2017.2756049","title":"Power Split Strategy Optimization of a Plug-in Parallel Hybrid Electric Vehicle","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canada Research Chairs","keywords":"Plug-in; Driving cycle; Computation; Dynamic programming; Driving range; Optimal control; Energy management; Electric vehicle; Automotive engineering; State of charge; Power management; Genetic algorithm; Power (physics); Battery (electricity); Range (aeronautics); Engineering; Computer science; Control engineering; Mathematical optimization; Energy (signal processing); Algorithm","score_opus":0.00859213253806415,"score_gpt":0.21965395856119915,"score_spread":0.211061826023135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759265425","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":[0.23494732,0.00057552464,0.7423064,0.0003898648,0.0000852575,0.00017306325,0.000092576855,0.00031194137,0.021118024],"genre_scores_gemma":[0.9747566,0.00009738894,0.021434302,0.00004891768,0.000007467457,0.000098514014,0.000037075144,0.00001961403,0.0035001608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998846,0.000035832803,0.000004400389,0.000021567936,0.000030935033,0.000022567741],"domain_scores_gemma":[0.9998301,0.00009003126,0.000024321507,0.0000071235636,0.000034950765,0.00001344753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039143884,0.0007315553,0.0005894461,0.0004275874,0.000289628,0.00065529684,0.00049091165,0.0006616911,0.0013982861],"category_scores_gemma":[0.000638487,0.00031128226,0.00034138924,0.00030410782,0.0004360716,0.0002836864,0.000411368,0.00037707316,0.00013215131],"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":[0.000031012263,0.000024223724,0.00017238724,0.000022998209,0.000014736859,0.00004613095,0.000015106201,0.99049497,0.0012820993,0.0014277647,0.0001617846,0.006306731],"study_design_scores_gemma":[0.0000079320125,0.000034926896,0.00008040709,0.0000022992012,0.0000049391106,0.0000054305456,0.0000064285223,0.99882907,0.00027258784,0.0005957563,0.00015868475,0.0000016588344],"about_ca_topic_score_codex":0.006128224,"about_ca_topic_score_gemma":0.0041927565,"teacher_disagreement_score":0.006128224,"about_ca_system_score_codex":0.0006326703,"about_ca_system_score_gemma":0.00075488276,"threshold_uncertainty_score":0.012185097},"labels":[],"label_agreement":null},{"id":"W2761862361","doi":"10.1109/tvt.2017.2760281","title":"Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":585,"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":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Reinforcement learning; Orchestration; Computer science; Distributed computing; Scheme (mathematics); Resource allocation; Resource management (computing); Software-defined networking; Computer network; Artificial intelligence","score_opus":0.01821917043973043,"score_gpt":0.238006655922601,"score_spread":0.21978748548287058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761862361","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":[0.06365853,0.0008591313,0.9280194,0.0009396463,0.00007654702,0.000044753375,0.000049765178,0.0002532327,0.0060989633],"genre_scores_gemma":[0.9709281,0.00025529874,0.025684914,0.00014967946,0.000039344017,0.000050214046,0.000039485916,0.000019778528,0.002833184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997496,0.00007185079,0.000009083817,0.000049941318,0.00004665772,0.00007292919],"domain_scores_gemma":[0.99939215,0.00034592766,0.000068761394,0.000027162183,0.00011070133,0.000055365846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069102895,0.0006608677,0.000919149,0.00032902468,0.00035121522,0.00076179643,0.0012797492,0.0011273033,0.0015384575],"category_scores_gemma":[0.0015326828,0.00033682465,0.0003732437,0.00038338607,0.0009383784,0.0008949434,0.00082459406,0.0012396366,0.00013742354],"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":[0.000022884406,0.000027495878,0.00043453134,0.000015320085,0.00001602891,0.000029955509,0.00001582593,0.98395395,0.00032911164,0.006696647,0.00032989343,0.008128395],"study_design_scores_gemma":[0.0000016416226,0.000004239087,0.00001875841,8.694662e-7,0.000001635355,0.0000018658628,0.0000017207766,0.9988323,0.00003005566,0.0010602939,0.000045555098,9.946997e-7],"about_ca_topic_score_codex":0.013922979,"about_ca_topic_score_gemma":0.010931449,"teacher_disagreement_score":0.013922979,"about_ca_system_score_codex":0.0014491624,"about_ca_system_score_gemma":0.0013785962,"threshold_uncertainty_score":0.027683914},"labels":[],"label_agreement":null},{"id":"W2762304185","doi":"10.1109/tvt.2017.2760367","title":"Adaptive Leader–Follower Formation Control of Underactuated Surface Vessels Under Asymmetric Range and Bearing Constraints","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":153,"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":"Backstepping; Control theory (sociology); Underactuation; Robustness (evolution); Parametric statistics; Lyapunov function; Adaptive control; Controller (irrigation); Bounded function; Tracking error; Robust control; Uniform boundedness; Computer science; Mathematics; Control system; Engineering; Nonlinear system; Control (management)","score_opus":0.023681236926976244,"score_gpt":0.24722797862724896,"score_spread":0.22354674170027272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762304185","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":[0.23909111,0.0001732375,0.75755674,0.00013162784,0.00004483078,0.000031607193,0.000026290318,0.00018863253,0.0027558717],"genre_scores_gemma":[0.9894812,0.000050912942,0.009397814,0.000014400865,0.000010915742,0.000026815884,0.000017943648,0.0000044816447,0.0009953784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981314,0.000036570083,0.000007917385,0.00006208074,0.000044682343,0.000035614015],"domain_scores_gemma":[0.9997521,0.000063931904,0.00008710109,0.000021552803,0.000053447988,0.000021847576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034958887,0.00049715425,0.00050996523,0.00015486183,0.00034853813,0.00053536013,0.0006791548,0.00048086644,0.0004460589],"category_scores_gemma":[0.00046073587,0.00019615458,0.0002764983,0.00017871261,0.0005503679,0.00047219638,0.0007328113,0.00052186253,0.000080215876],"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":[0.0001687676,0.00004928576,0.0013115255,0.0001135891,0.00004591941,0.00039817326,0.00033754052,0.9092851,0.04214151,0.0073349937,0.000496444,0.038317226],"study_design_scores_gemma":[0.000016695609,0.00013004779,0.00032007636,0.0000020212547,0.0000066978273,0.000020159903,0.000026449958,0.9966102,0.0016885679,0.0008121986,0.00036241623,0.000004433686],"about_ca_topic_score_codex":0.00358725,"about_ca_topic_score_gemma":0.0022185706,"teacher_disagreement_score":0.00358725,"about_ca_system_score_codex":0.00023825282,"about_ca_system_score_gemma":0.0005223443,"threshold_uncertainty_score":0.007132709},"labels":[],"label_agreement":null},{"id":"W2764051516","doi":"10.1109/tvt.2017.2760321","title":"Empirical Distribution of Nearest-Transmitter Distance in Wireless Networks Modeled by Matérn Hard Core Point Processes","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"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 Alberta","funders":"University of Alberta","keywords":"Weibull distribution; Piecewise; Empirical distribution function; Mathematics; Probability density function; Point process; Goodness of fit; Probability distribution; Rayleigh distribution; Point (geometry); Kolmogorov–Smirnov test; Statistical physics; Algorithm; Statistics; Mathematical analysis; Geometry; Statistical hypothesis testing; Physics","score_opus":0.013129412705923174,"score_gpt":0.24369723881664157,"score_spread":0.2305678261107184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764051516","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":[0.28224432,0.0006051867,0.71454245,0.00033762248,0.000038706316,0.00007023918,0.00017320618,0.00022365135,0.0017646789],"genre_scores_gemma":[0.97766906,0.00056363584,0.019410461,0.000048942846,0.000032532338,0.00008747318,0.0002234622,0.000046073983,0.0019184253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990213,0.00035256747,0.00004016561,0.00019299655,0.0002345463,0.00015855477],"domain_scores_gemma":[0.9893261,0.0068470594,0.0015727051,0.0007619905,0.0012411454,0.00025099205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004226842,0.00081612857,0.0010480953,0.0017675313,0.0005173679,0.001102346,0.0025582293,0.0013726203,0.0014700013],"category_scores_gemma":[0.022318626,0.0006181046,0.0008071986,0.001676647,0.0021306116,0.0035648355,0.0016454605,0.0017880389,0.00030406288],"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":[0.000081284306,0.00002572961,0.0043128333,0.000057871093,0.000031142215,0.00024316635,0.00019172106,0.9288204,0.0012281578,0.05889598,0.00040677402,0.0057049925],"study_design_scores_gemma":[0.0000068737018,0.00002599497,0.00089051033,0.00001214514,0.000008687069,0.000081697675,0.00006443906,0.9871272,0.00038619473,0.011171628,0.000204308,0.000020275043],"about_ca_topic_score_codex":0.0030213618,"about_ca_topic_score_gemma":0.001817316,"teacher_disagreement_score":0.004226842,"about_ca_system_score_codex":0.0014028157,"about_ca_system_score_gemma":0.00066603074,"threshold_uncertainty_score":0.022354007},"labels":[],"label_agreement":null},{"id":"W2765087690","doi":"10.1109/tvt.2017.2766209","title":"Design of Channel Coded Heterogeneous Modulation Physical Layer Network Coding","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"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":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Decoding methods; Relay; Relay channel; Linear network coding; Decodes; Computer science; Channel (broadcasting); Coding (social sciences); Bit error rate; Algorithm; Coding gain; Computer network; Mathematics; Physics","score_opus":0.05266075169647405,"score_gpt":0.2871354576710796,"score_spread":0.23447470597460557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765087690","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012345023,0.00022033308,0.98264104,0.00014293441,0.00005144662,0.0001116039,0.00007106225,0.00020038264,0.004216129],"genre_scores_gemma":[0.7633568,0.00043875136,0.23272851,0.00019290364,0.000045405955,0.00037632257,0.00017848653,0.000040070692,0.002642833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925417,0.00022578229,0.00003049256,0.00012831176,0.0002279341,0.00013338178],"domain_scores_gemma":[0.99886876,0.00036358778,0.0001231515,0.00014072984,0.00044781942,0.000055954766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007724841,0.00074521295,0.00051265035,0.0005426878,0.00048523303,0.0008483297,0.0011776384,0.0005634127,0.0013348788],"category_scores_gemma":[0.0024167967,0.0002599303,0.00023741514,0.000828276,0.00072192284,0.0007905712,0.0011281456,0.00063412334,0.00030485733],"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":[0.00020894001,0.000074782954,0.0007705729,0.0001415286,0.000054630207,0.00029209518,0.00013694927,0.7295538,0.028756604,0.10714055,0.0032991758,0.12957026],"study_design_scores_gemma":[0.0000128674255,0.00003688227,0.000061967134,0.000008759219,0.000009532866,0.000047103364,0.000009910646,0.99055135,0.0033405258,0.0047023613,0.0012076945,0.00001101861],"about_ca_topic_score_codex":0.0032779656,"about_ca_topic_score_gemma":0.004159555,"teacher_disagreement_score":0.0032779656,"about_ca_system_score_codex":0.0012164691,"about_ca_system_score_gemma":0.0020953743,"threshold_uncertainty_score":0.008826137},"labels":[],"label_agreement":null},{"id":"W2765717969","doi":"10.1109/tvt.2017.2764387","title":"Multiantenna Spectrum Sensing Over Correlated Nakagami-$m$ Channels With MRC and EGC Diversity Receptions","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":37,"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":"Nakagami distribution; Maximal-ratio combining; Spectrum (functional analysis); Diversity (politics); Diversity combining; Statistics; Physics; Electronic engineering; Telecommunications; Computer science; Mathematics; Fading; Engineering; Political science; Channel (broadcasting)","score_opus":0.011681387775870225,"score_gpt":0.21820838621939906,"score_spread":0.20652699844352884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765717969","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":[0.54466933,0.00042113246,0.44930774,0.00019507056,0.000019654166,0.00003710625,0.00005267187,0.00022725447,0.005070063],"genre_scores_gemma":[0.9858516,0.00005885126,0.013812332,0.000022295832,0.0000057085626,0.000006486601,0.000009283991,0.0000028343427,0.00023056784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989793,0.00045722444,0.00004176479,0.00015339935,0.00024418253,0.00012414154],"domain_scores_gemma":[0.9982318,0.0010625629,0.00028002053,0.00019981842,0.0001663095,0.000059505688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066418,0.000497811,0.00074428425,0.00035578036,0.0003361949,0.0008233045,0.00055264455,0.00058020616,0.0003134126],"category_scores_gemma":[0.002226269,0.00033590288,0.0003214957,0.0005343039,0.001025483,0.0007854253,0.00084595894,0.0003311195,0.00012934573],"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":[0.0009738832,0.00007928272,0.0072455048,0.00015138018,0.00017313933,0.0015922046,0.00029278043,0.85847145,0.06548295,0.02133524,0.00030957072,0.04389253],"study_design_scores_gemma":[0.000014224402,0.000097978824,0.0010440773,0.000009546235,0.00002659007,0.0002779941,0.000046111905,0.984542,0.010931047,0.0028533146,0.00014075969,0.000016235594],"about_ca_topic_score_codex":0.0012763554,"about_ca_topic_score_gemma":0.0019316495,"teacher_disagreement_score":0.0012763554,"about_ca_system_score_codex":0.00054930116,"about_ca_system_score_gemma":0.0005282384,"threshold_uncertainty_score":0.0056397915},"labels":[],"label_agreement":null},{"id":"W2766731005","doi":"10.1109/tvt.2017.2763825","title":"Receiver Energy Efficiency and Resolution Profile Design for Massive MIMO Uplink With Mixed ADC","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"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 Natural Science Foundation of China","keywords":"Quantization (signal processing); Telecommunications link; Successive approximation ADC; Electronic engineering; MIMO; Computer science; Effective number of bits; Base station; Efficient energy use; Energy consumption; Energy (signal processing); Engineering; Mathematics; Electrical engineering; Algorithm; Capacitor; Voltage; Telecommunications","score_opus":0.01107970398627662,"score_gpt":0.21513295824347378,"score_spread":0.20405325425719717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766731005","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":[0.014485066,0.00030540832,0.98310673,0.00005701196,0.000008430777,0.000017319233,0.000015481495,0.00010426433,0.0019002972],"genre_scores_gemma":[0.7807819,0.0005731068,0.21620499,0.000079918624,0.000039018152,0.000051722014,0.0000467685,0.000038799742,0.002183665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993167,0.00021817506,0.00003423854,0.0000835207,0.00028739488,0.00006007761],"domain_scores_gemma":[0.99954176,0.00020606957,0.00006834911,0.00005492215,0.000112762056,0.000016168824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007538627,0.0007996027,0.00059583364,0.00027863093,0.00023605027,0.0011456988,0.0006954773,0.00049946934,0.0010354384],"category_scores_gemma":[0.00198315,0.00038520095,0.00036081337,0.0004606158,0.0003332149,0.0011341501,0.00071251765,0.00056479557,0.00039894963],"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":[0.0002313443,0.000088787376,0.0013921623,0.00027915748,0.00008889549,0.0001688601,0.0001400181,0.7615348,0.058615673,0.027253095,0.0007860865,0.14942108],"study_design_scores_gemma":[0.0000119858605,0.00009896232,0.0001765554,0.000010936484,0.000018815954,0.00012007982,0.000021186577,0.9834178,0.012453861,0.0026852586,0.0009731894,0.000011372058],"about_ca_topic_score_codex":0.00047556887,"about_ca_topic_score_gemma":0.0006010412,"teacher_disagreement_score":0.0011456988,"about_ca_system_score_codex":0.00042805396,"about_ca_system_score_gemma":0.00046573018,"threshold_uncertainty_score":0.0039868355},"labels":[],"label_agreement":null},{"id":"W2768453447","doi":"10.1109/tvt.2017.2774282","title":"Strategic Sensing in Vehicular Networks Using Known Mobility Information","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Mobility model; Markov process; Context (archaeology); Node (physics); Scheduling (production processes); Distributed computing; Computer network; Real-time computing; Mathematical optimization; Engineering; Mathematics","score_opus":0.019437905179416636,"score_gpt":0.2468943584868168,"score_spread":0.22745645330740016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768453447","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":[0.08826707,0.0008651718,0.9077172,0.00047541788,0.000048394864,0.00005745837,0.000062573396,0.0001109986,0.0023957333],"genre_scores_gemma":[0.97929347,0.0004666247,0.019219307,0.000045103265,0.000029627718,0.000049717128,0.000043786014,0.0000129841665,0.00083935715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870634,0.0004877963,0.00005378888,0.00023212953,0.00023761934,0.00028232104],"domain_scores_gemma":[0.99692386,0.0022315024,0.00035383774,0.00013733831,0.00024423783,0.000109261164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016382103,0.0008693861,0.0009168665,0.0005742775,0.00072167034,0.0010105098,0.0014468245,0.0008251278,0.00055080635],"category_scores_gemma":[0.0053456537,0.0006111781,0.0005552152,0.00096696755,0.0012543352,0.0021202234,0.0011196426,0.0006140774,0.00010560102],"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":[0.00007575837,0.00001498971,0.000861033,0.00005813977,0.000023728851,0.00014832937,0.00007630646,0.9636187,0.0017566244,0.02553267,0.00022598363,0.0076077],"study_design_scores_gemma":[0.000007969322,0.000036682133,0.0002135016,0.00000493408,0.000011769944,0.000052410505,0.00005406321,0.9871975,0.00048447298,0.011592703,0.00033621717,0.000007777232],"about_ca_topic_score_codex":0.0069752703,"about_ca_topic_score_gemma":0.0055625187,"teacher_disagreement_score":0.0069752703,"about_ca_system_score_codex":0.001651147,"about_ca_system_score_gemma":0.0013934497,"threshold_uncertainty_score":0.013869345},"labels":[],"label_agreement":null},{"id":"W2769151019","doi":"10.1109/tvt.2017.2778429","title":"Improved High-Frequency Voltage Injection Based Permanent Magnet Temperature Estimation for PMSM Condition Monitoring for EV Applications","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":72,"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 Windsor","funders":"","keywords":"Voltage; Inverter; Magnet; Control theory (sociology); Coupling (piping); Nonlinear system; Temperature measurement; Materials science; Engineering; Electrical engineering; Computer science; Physics; Mechanical engineering","score_opus":0.007097884970539121,"score_gpt":0.2359751083564138,"score_spread":0.22887722338587468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769151019","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":[0.0141078,0.00022435779,0.9839877,0.000038610196,0.000030705418,0.00002320549,0.000018336163,0.00053591945,0.0010335263],"genre_scores_gemma":[0.9098518,0.00033733237,0.08824758,0.00004146753,0.000031138,0.00004652207,0.00006704706,0.00005708375,0.0013200234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999617,0.000082449085,0.000021593913,0.00008513958,0.00017734783,0.000016464548],"domain_scores_gemma":[0.999684,0.000116871524,0.000060493705,0.000049330596,0.000083067396,0.000006297153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038033805,0.00052632653,0.0004588287,0.00038090683,0.00017567219,0.0004340821,0.00074581854,0.000519948,0.00079710846],"category_scores_gemma":[0.0008986232,0.00025286715,0.0004753352,0.0003091313,0.00021589115,0.0009935148,0.00031853814,0.00053552195,0.00028920168],"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":[0.00030114828,0.00020489733,0.00540896,0.0006283698,0.0001203753,0.00019675105,0.00027836076,0.47565275,0.15589772,0.0043409565,0.0013894691,0.3555802],"study_design_scores_gemma":[0.000005138612,0.00007033775,0.0008076261,0.000008642632,0.000013526063,0.000056970264,0.0000083393115,0.98225754,0.01569628,0.00029180362,0.00077324064,0.0000105941435],"about_ca_topic_score_codex":0.0009515088,"about_ca_topic_score_gemma":0.0014960456,"teacher_disagreement_score":0.0009515088,"about_ca_system_score_codex":0.00034186523,"about_ca_system_score_gemma":0.0002240089,"threshold_uncertainty_score":0.0026666522},"labels":[],"label_agreement":null},{"id":"W2769196935","doi":"10.1109/tvt.2017.2772035","title":"Coverage Analysis of Max-SIR Cell Association in HetNets Under Nakagami Fading","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nakagami distribution; Fading; Path loss; Rician fading; Computer science; Stochastic geometry; Fading distribution; Maximal-ratio combining; Telecommunications link; Probability density function; Algorithm; Mathematics; Statistics; Telecommunications; Wireless; Rayleigh fading; Decoding methods","score_opus":0.007252519254339253,"score_gpt":0.22522393326585768,"score_spread":0.21797141401151843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769196935","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":[0.21296266,0.0033526644,0.7519083,0.0009422789,0.00008601699,0.00008919598,0.00059358485,0.0003935592,0.029671725],"genre_scores_gemma":[0.98602074,0.001169752,0.009396475,0.00017002643,0.00007478606,0.00006732077,0.00015895507,0.000044076336,0.0028978533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900216,0.0004159052,0.000026738948,0.00011397477,0.00018818233,0.00025306622],"domain_scores_gemma":[0.9935421,0.0043167006,0.000726396,0.00028283,0.00082035555,0.00031165584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020041915,0.0010732342,0.00096264767,0.001178987,0.00064839306,0.0014676243,0.0016607898,0.0010383283,0.002833191],"category_scores_gemma":[0.0076716878,0.00059094664,0.0007619921,0.0011272379,0.001696505,0.0014083158,0.0023441936,0.00084911985,0.0005039311],"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":[0.00013126392,0.000021559123,0.0028128014,0.00009069627,0.00004600837,0.0002808162,0.0001690304,0.9408705,0.0019888633,0.04746862,0.0011693027,0.0049506347],"study_design_scores_gemma":[0.0000034192171,0.00003053287,0.00076069875,0.000013668564,0.000016881078,0.00010824037,0.00007503621,0.9913987,0.0003341305,0.006933365,0.0003153213,0.000009938062],"about_ca_topic_score_codex":0.006569295,"about_ca_topic_score_gemma":0.0031718293,"teacher_disagreement_score":0.006569295,"about_ca_system_score_codex":0.0016724659,"about_ca_system_score_gemma":0.0007239415,"threshold_uncertainty_score":0.0130621195},"labels":[],"label_agreement":null},{"id":"W2769681241","doi":"10.1109/tvt.2017.2778067","title":"Integrated Torque Vectoring Control for a Three-Axle Electric Bus Based on Holistic Cornering Control Method","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":34,"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 Waterloo","funders":"National Key Research and Development Program of China; China Scholarship Council","keywords":"Chassis; Engineering; Axle; Control theory (sociology); Torque; Traction control system; Automotive engineering; Controller (irrigation); Vehicle dynamics; Tire balance; Torque steering; Motion control; Control engineering; Computer science; Control (management); Steering wheel; Structural engineering","score_opus":0.01242219147323449,"score_gpt":0.24267317979184422,"score_spread":0.23025098831860974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769681241","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":[0.031521432,0.00022800102,0.9627776,0.00005284528,0.00005628984,0.00005972271,0.000030483803,0.00060242607,0.004671198],"genre_scores_gemma":[0.94564503,0.00017355905,0.05120321,0.00003651736,0.000031745414,0.00011307853,0.00007280922,0.000022378545,0.0027016832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997613,0.000023662356,0.000011736818,0.00006705117,0.00009951589,0.00003681597],"domain_scores_gemma":[0.9998858,0.000011942716,0.000025350744,0.000009644519,0.000055560642,0.000011623164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030291738,0.0006803851,0.0006649677,0.00027121333,0.00033936877,0.0005411926,0.00067970523,0.00029766743,0.0014523359],"category_scores_gemma":[0.00019473067,0.00021116434,0.00035301328,0.00027804606,0.00026857705,0.00035475023,0.0005265827,0.00043774358,0.00025725478],"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":[0.00025255335,0.00011942308,0.00080005353,0.0002897878,0.00007172663,0.00018536377,0.00017609909,0.64908415,0.09037321,0.012876073,0.002145681,0.24362594],"study_design_scores_gemma":[0.00003670353,0.00034032197,0.0003669074,0.0000074136133,0.00001924007,0.000044547094,0.000015810503,0.99190134,0.0048615956,0.00077181886,0.0016212692,0.000012999673],"about_ca_topic_score_codex":0.0031374402,"about_ca_topic_score_gemma":0.0030077097,"teacher_disagreement_score":0.0031374402,"about_ca_system_score_codex":0.0002840894,"about_ca_system_score_gemma":0.0005922435,"threshold_uncertainty_score":0.0062383413},"labels":[],"label_agreement":null},{"id":"W2772995340","doi":"10.1109/tvt.2017.2780829","title":"SS-MAC: A Novel Time Slot-Sharing MAC for Safety Messages Broadcasting in VANETs","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":90,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Broadcasting (networking); Scalability; Reliability (semiconductor); Access control; Wireless ad hoc network; Queue; Media access control; Distributed computing; Wireless; Telecommunications","score_opus":0.012573655347303805,"score_gpt":0.23773278539145387,"score_spread":0.22515913004415006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772995340","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020651177,0.00097299385,0.97328126,0.00017345912,0.00031349657,0.00013266472,0.00007947219,0.001329092,0.0030663598],"genre_scores_gemma":[0.7601894,0.0007101726,0.2336062,0.00025028596,0.00030640536,0.00029076627,0.00022908422,0.00011008923,0.0043076198],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926335,0.0001741465,0.00007029535,0.00010949355,0.00029099427,0.00009171276],"domain_scores_gemma":[0.998767,0.00030869074,0.0001838268,0.00021285922,0.00045435585,0.000073293835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010852381,0.0006382491,0.0005812936,0.0008972496,0.0006501259,0.00078282197,0.0018687485,0.00051184057,0.0011854853],"category_scores_gemma":[0.002674742,0.00021142987,0.00037525504,0.0007126925,0.00051888154,0.00113365,0.00101271,0.0006115973,0.00030263246],"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":[0.0008745915,0.00029921666,0.0025550923,0.0006941084,0.00032870925,0.00036048697,0.00058956945,0.3355499,0.09244495,0.09672181,0.015254176,0.45432732],"study_design_scores_gemma":[0.000049214203,0.0002892813,0.0002911656,0.0000144668375,0.000052896707,0.00021461774,0.0000484519,0.9683726,0.010237805,0.006726271,0.01367058,0.000032590768],"about_ca_topic_score_codex":0.0019902068,"about_ca_topic_score_gemma":0.0019139952,"teacher_disagreement_score":0.0019902068,"about_ca_system_score_codex":0.0006488359,"about_ca_system_score_gemma":0.0014781972,"threshold_uncertainty_score":0.0057393312},"labels":[],"label_agreement":null},{"id":"W2773522454","doi":"10.1109/tvt.2017.2780179","title":"Secure and Privacy-Preserving Physical-Layer-Assisted Scheme for EV Dynamic Charging System","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":44,"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 Waterloo","funders":"","keywords":"Computer science; Authentication (law); Physical layer; Scheme (mathematics); Scalability; Computer network; Cryptosystem; Computer security; Cryptography; Anonymity; Cyber-physical system; Wireless; Telecommunications; Operating system","score_opus":0.01274620978864451,"score_gpt":0.24527512198875973,"score_spread":0.2325289122001152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773522454","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":[0.05672793,0.000526102,0.93591154,0.00046349596,0.00017173018,0.00030294215,0.00011852734,0.0012118855,0.0045658466],"genre_scores_gemma":[0.96614766,0.0001772236,0.031011946,0.0001170126,0.00004595259,0.00011087726,0.00006859117,0.000013858461,0.0023068225],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783844,0.0005351353,0.00025046754,0.0003224965,0.00064064504,0.00041280474],"domain_scores_gemma":[0.9982864,0.00034193147,0.0002660064,0.00067618646,0.0003545431,0.00007492251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001183193,0.0006270174,0.00067846064,0.00060674764,0.0012422736,0.0012795421,0.0013351236,0.00095363765,0.0021123425],"category_scores_gemma":[0.0024917116,0.00022441828,0.0006313779,0.00071656384,0.0008837108,0.0028314658,0.002721947,0.0010220162,0.0006578091],"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":[0.0021471833,0.00043164848,0.0041982634,0.00077168667,0.00029000093,0.0017842228,0.0012445125,0.27486172,0.1568321,0.23528886,0.009029181,0.31312057],"study_design_scores_gemma":[0.0001557572,0.00045766795,0.00070403836,0.00003556507,0.000115544775,0.0009908914,0.00011629719,0.91703993,0.043999955,0.025817702,0.010454233,0.00011229538],"about_ca_topic_score_codex":0.00069887144,"about_ca_topic_score_gemma":0.0005583517,"teacher_disagreement_score":0.0021123425,"about_ca_system_score_codex":0.0008850397,"about_ca_system_score_gemma":0.001301938,"threshold_uncertainty_score":0.0070664287},"labels":[],"label_agreement":null},{"id":"W2774292658","doi":"10.1109/tvt.2017.2778345","title":"Learning-Aided Network Association for Hybrid Indoor LiFi-WiFi Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":86,"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":"Engineering and Physical Sciences Research Council","keywords":"Visible light communication; Computer science; Computer network; Wireless; Bandwidth (computing); Software deployment; Wireless network; Throughput; Linear programming; Distributed computing; Telecommunications; Engineering; Algorithm; Light-emitting diode","score_opus":0.011481770905518126,"score_gpt":0.23034907605802812,"score_spread":0.21886730515251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774292658","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":[0.03798321,0.00024689606,0.9574338,0.0002255965,0.000032671953,0.000064907996,0.00004570429,0.0003714126,0.0035958092],"genre_scores_gemma":[0.94604135,0.00014013673,0.049104575,0.00010688781,0.00004269191,0.00013709937,0.00006783423,0.000032367196,0.0043269903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987924,0.0002917717,0.000044858163,0.00024807986,0.00025084213,0.00037195606],"domain_scores_gemma":[0.9971854,0.0016899655,0.00045759015,0.00015628702,0.00035567163,0.00015510006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018733615,0.0009224583,0.0014544507,0.0005411101,0.0007388818,0.0014019322,0.001897675,0.0012785285,0.0035705585],"category_scores_gemma":[0.00580081,0.0005390579,0.0004049111,0.00086373504,0.000969335,0.0013427876,0.001790975,0.0015564449,0.0006944567],"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":[0.0000848582,0.00006333755,0.0007638878,0.000031097337,0.000020115227,0.000055084533,0.000045679968,0.9634955,0.00059434964,0.004245325,0.00045823804,0.03014242],"study_design_scores_gemma":[0.000003863944,0.000017194512,0.000062015846,0.0000021367523,0.0000035260919,0.000011966146,0.000004919362,0.9986842,0.000163674,0.0009328386,0.0001108524,0.000002843464],"about_ca_topic_score_codex":0.00600285,"about_ca_topic_score_gemma":0.007757008,"teacher_disagreement_score":0.00600285,"about_ca_system_score_codex":0.0013025388,"about_ca_system_score_gemma":0.0016435261,"threshold_uncertainty_score":0.011944711},"labels":[],"label_agreement":null},{"id":"W2775184687","doi":"10.1109/tvt.2017.2779982","title":"Power-Efficient Wideband Spectrum Sensing for Cognitive Radio Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; False alarm; Quantization (signal processing); Wideband; Computer science; Algorithm; Autocorrelation; Electronic engineering; Spectral density; Detection theory; Statistical power; Mathematics; Engineering; Artificial intelligence; Telecommunications; Statistics; Wireless; Detector","score_opus":0.012843456479015136,"score_gpt":0.244428264405589,"score_spread":0.23158480792657388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775184687","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":[0.025219923,0.0008517063,0.97132593,0.0000819181,0.000038651633,0.000018366642,0.000016413085,0.00016727812,0.0022797624],"genre_scores_gemma":[0.8888534,0.00050138397,0.10949861,0.000070605434,0.00004102056,0.000025521455,0.000019774201,0.000011287769,0.0009784723],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975854,0.000052352498,0.000010181393,0.000035759163,0.000115832074,0.000027371025],"domain_scores_gemma":[0.9998456,0.00007874889,0.000019772608,0.000020575597,0.000028746157,0.000006519954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026090682,0.0003176644,0.00022324134,0.00020109233,0.00018858803,0.00043372804,0.00039092143,0.00026912533,0.0004995729],"category_scores_gemma":[0.0007483217,0.00012983086,0.00013662496,0.00022536433,0.0002713773,0.0004633397,0.00040531676,0.0003036579,0.00013669246],"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":[0.00033220506,0.00011563584,0.00087941624,0.0002490691,0.0000517602,0.00024017975,0.0001676872,0.31023347,0.16797622,0.05822049,0.0015341263,0.4599997],"study_design_scores_gemma":[0.000010335176,0.00010515071,0.00031203058,0.0000141498385,0.000012472881,0.00012701584,0.000023241113,0.9745111,0.011351053,0.0116324,0.001888149,0.000012951773],"about_ca_topic_score_codex":0.000765044,"about_ca_topic_score_gemma":0.0013349907,"teacher_disagreement_score":0.000765044,"about_ca_system_score_codex":0.00025522607,"about_ca_system_score_gemma":0.00029899512,"threshold_uncertainty_score":0.0018517971},"labels":[],"label_agreement":null},{"id":"W2782548956","doi":"10.1109/tvt.2018.2789343","title":"An Analytical Framework for IEEE 802.15.6-Based Wireless Body Area Networks With Instantaneous Delay Constraints and Shadowing Interruptions","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Network packet; Queueing theory; Markov process; Transmission delay; Markovian arrival process; Markov chain; Scheduling (production processes); Real-time computing; Layered queueing network; Stochastic process; Mathematical optimization; Computer network; Mathematics","score_opus":0.011756429063113789,"score_gpt":0.24523796055949756,"score_spread":0.2334815314963838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782548956","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":[0.004580798,0.00056911015,0.99134725,0.00017201854,0.00008009246,0.0000476012,0.000049411672,0.00013664422,0.0030170723],"genre_scores_gemma":[0.7276298,0.0046273167,0.26132503,0.00036012998,0.00039196803,0.00037845655,0.00019962937,0.00014047114,0.0049472563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988656,0.00027384877,0.000054801778,0.00014913626,0.00048380924,0.0001729056],"domain_scores_gemma":[0.9989761,0.0004599399,0.00014339326,0.00007070928,0.00031179126,0.00003808315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017224262,0.0011902404,0.0007085699,0.0012064506,0.00074289995,0.0012297467,0.0020394255,0.0010887458,0.0015836013],"category_scores_gemma":[0.00380632,0.0004284712,0.000911649,0.0011521133,0.0011530563,0.0022959777,0.0009930804,0.0012675606,0.00035632515],"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":[0.000011376051,0.00003779168,0.00033134117,0.00006807065,0.000013728261,0.00011640213,0.000097581025,0.86511976,0.002579538,0.121078044,0.0009927934,0.009553526],"study_design_scores_gemma":[0.0000018827776,0.000012345998,0.000048483205,0.000008103129,0.0000048796105,0.000028148079,0.000015128233,0.99168044,0.0002490895,0.0071021654,0.0008429527,0.0000063036687],"about_ca_topic_score_codex":0.007825361,"about_ca_topic_score_gemma":0.00367989,"teacher_disagreement_score":0.007825361,"about_ca_system_score_codex":0.0021049147,"about_ca_system_score_gemma":0.0025444406,"threshold_uncertainty_score":0.015559673},"labels":[],"label_agreement":null},{"id":"W2783251003","doi":"10.1109/tvt.2018.2789344","title":"Distributed Opportunistic Spectrum Access in an Unknown and Dynamic Environment: A Stochastic Learning Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":25,"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 Manitoba","funders":"","keywords":"Computer science; Potential game; Nash equilibrium; Learning automata; Overhead (engineering); Mathematical optimization; Game theory; Distributed computing; Convergence (economics); Optimization problem; Automaton; Theoretical computer science; Algorithm; Mathematics","score_opus":0.013886963380123662,"score_gpt":0.24376268967420045,"score_spread":0.2298757262940768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783251003","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":[0.010577387,0.00012558066,0.98760414,0.00021373745,0.00002303443,0.00002700407,0.000013771404,0.000052601477,0.0013627893],"genre_scores_gemma":[0.9214073,0.00033089818,0.074612685,0.00015890483,0.00007668396,0.0001911807,0.000037198257,0.000035358065,0.0031497818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863833,0.0005748508,0.000058945672,0.00025577645,0.00029694109,0.00017520494],"domain_scores_gemma":[0.9961056,0.0028999024,0.00039883563,0.00013919822,0.00029360992,0.00016276899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021183598,0.0008226152,0.0012921663,0.0006590984,0.0006350629,0.0013464065,0.001926014,0.0012224866,0.0011709951],"category_scores_gemma":[0.005194683,0.0005376168,0.0007242068,0.0006945242,0.0019862696,0.001905701,0.0014599492,0.0013515945,0.00014003048],"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":[0.000025387826,0.00002809584,0.0003791678,0.00003914397,0.000030476576,0.000073329466,0.000047860045,0.95656824,0.00055491336,0.037158582,0.00017160717,0.004923218],"study_design_scores_gemma":[0.0000032364198,0.000008552338,0.000023281522,0.0000018843192,0.000002611865,0.0000077872,0.0000056434587,0.99406487,0.00005556116,0.0057389243,0.00008494079,0.0000027142817],"about_ca_topic_score_codex":0.003278723,"about_ca_topic_score_gemma":0.0031042947,"teacher_disagreement_score":0.003278723,"about_ca_system_score_codex":0.0016574921,"about_ca_system_score_gemma":0.0014701532,"threshold_uncertainty_score":0.012025952},"labels":[],"label_agreement":null},{"id":"W2787449634","doi":"10.1109/tvt.2018.2839661","title":"Hardware Impairments Aware Transceiver Design for Bidirectional Full-Duplex MIMO OFDM Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":41,"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":"","keywords":"Transceiver; MIMO; Electronic engineering; Orthogonal frequency-division multiplexing; Computer science; Duplex (building); Embedded system; Engineering; Computer hardware; Beamforming; Computer network; CMOS; Channel (broadcasting)","score_opus":0.02146810843491418,"score_gpt":0.2420675014643597,"score_spread":0.22059939302944553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787449634","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":[0.02060835,0.00024943432,0.9763045,0.000071897455,0.000025362813,0.000030198495,0.000032503045,0.00010661282,0.0025712776],"genre_scores_gemma":[0.7965941,0.0006050544,0.19844855,0.00007691632,0.00005536647,0.00013322156,0.00008792954,0.000044758697,0.003954072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997116,0.00007993786,0.000014463458,0.000041005696,0.00011742768,0.000035605306],"domain_scores_gemma":[0.99955827,0.00016931567,0.00008959391,0.0000530758,0.00011545775,0.000014223659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035502497,0.00056979083,0.00030057738,0.00018045146,0.0001845254,0.0006563594,0.00043010255,0.00047373824,0.0013738928],"category_scores_gemma":[0.001101247,0.00022977166,0.00023110883,0.00018798895,0.00027070256,0.0004986728,0.00043750476,0.00048332932,0.00056705833],"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":[0.000101917765,0.00006472834,0.00082912657,0.0003325385,0.000058443282,0.00024428684,0.00021043926,0.7853852,0.07281054,0.017896364,0.00096819556,0.1210982],"study_design_scores_gemma":[0.000014707103,0.00017174377,0.000302941,0.000023943281,0.000027797772,0.00018574376,0.000049801816,0.9765633,0.017098991,0.0031894112,0.0023563309,0.000015250586],"about_ca_topic_score_codex":0.0005106742,"about_ca_topic_score_gemma":0.0007668114,"teacher_disagreement_score":0.0013738928,"about_ca_system_score_codex":0.00030207238,"about_ca_system_score_gemma":0.00058053643,"threshold_uncertainty_score":0.004596114},"labels":[],"label_agreement":null},{"id":"W2789249423","doi":"10.1109/tvt.2018.2803062","title":"Reliable Traffic Density Estimation in Vehicular Network","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":27,"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":"National Key Research and Development Program of China","keywords":"Estimator; Density estimation; Fuse (electrical); Computer science; Exploit; Estimation; Wireless ad hoc network; Vehicular ad hoc network; Real-time computing; Statistics; Engineering; Telecommunications; Mathematics; Wireless; Computer security; Electrical engineering","score_opus":0.005676263255409632,"score_gpt":0.20453898286884922,"score_spread":0.1988627196134396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789249423","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":[0.08239755,0.0003406844,0.91565526,0.00011051947,0.000031670428,0.000020149002,0.00009678515,0.00046062825,0.0008867858],"genre_scores_gemma":[0.96359843,0.00026105883,0.035423294,0.000016172196,0.00003295408,0.0000269027,0.00019017045,0.000022389537,0.00042858438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990331,0.0003319133,0.000046164663,0.00018920148,0.00028681563,0.0001128461],"domain_scores_gemma":[0.9979633,0.00087584805,0.00030851233,0.0002643299,0.0005332575,0.000054839602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010805714,0.00061762845,0.0006776365,0.0013360509,0.00037429892,0.00065848493,0.000852548,0.0005560642,0.00021214127],"category_scores_gemma":[0.0066150418,0.00044404017,0.0002936843,0.0012013699,0.00047074477,0.0013773863,0.0007712462,0.0005306964,0.0001485372],"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":[0.000060947117,0.000012083382,0.0036187593,0.000027735976,0.000022254326,0.0000663669,0.000043385433,0.9562259,0.002030883,0.005171667,0.00046142898,0.03225865],"study_design_scores_gemma":[7.91863e-7,0.0000049806354,0.00043312195,0.0000018004878,0.0000019105576,0.000011603341,0.000007749147,0.9972728,0.00039736083,0.0017445236,0.00011971699,0.0000035690684],"about_ca_topic_score_codex":0.0073972037,"about_ca_topic_score_gemma":0.0034597276,"teacher_disagreement_score":0.0073972037,"about_ca_system_score_codex":0.0007965117,"about_ca_system_score_gemma":0.0005617102,"threshold_uncertainty_score":0.014708281},"labels":[],"label_agreement":null},{"id":"W2789408681","doi":"10.1109/tvt.2018.2872654","title":"Adaptive Tube-Based Nonlinear MPC for Economic Autonomous Cruise Control of Plug-In Hybrid Electric Vehicles","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":75,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Model predictive control; Cruise control; Estimator; Controller (irrigation); Nonlinear system; Adaptive control; Solver; Electric vehicle","score_opus":0.007858590541489423,"score_gpt":0.2115603589124682,"score_spread":0.20370176837097875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789408681","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":[0.041202236,0.00019461554,0.9541054,0.00006605138,0.0000390331,0.000031227195,0.000027340786,0.00042953185,0.0039046283],"genre_scores_gemma":[0.9742337,0.00010825709,0.023186907,0.000026638658,0.000017964228,0.000078989186,0.00005181848,0.000023243449,0.0022724925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986565,0.00003500164,0.0000050836225,0.000024038869,0.000054729095,0.000015432972],"domain_scores_gemma":[0.99984634,0.00006249894,0.000030037863,0.000010071321,0.000042627114,0.000008347938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331923,0.000548827,0.00042894078,0.00021773408,0.00024710092,0.00038978405,0.0006347969,0.0004489738,0.0009406055],"category_scores_gemma":[0.00047503426,0.00023506163,0.00033722018,0.0001790044,0.00038111658,0.00038006238,0.000482644,0.000592969,0.000170922],"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":[0.000052890595,0.000015652362,0.000214542,0.00004525314,0.0000152144285,0.000048769823,0.000035802143,0.97507715,0.005513293,0.0028155197,0.000296582,0.015869403],"study_design_scores_gemma":[0.0000014631806,0.000021110965,0.000045317585,0.0000011222941,0.0000012100616,0.0000034789616,0.0000012945063,0.99913496,0.00037700048,0.0001902576,0.0002211852,0.0000016162544],"about_ca_topic_score_codex":0.0040915017,"about_ca_topic_score_gemma":0.0026901031,"teacher_disagreement_score":0.0040915017,"about_ca_system_score_codex":0.0003272004,"about_ca_system_score_gemma":0.00044531818,"threshold_uncertainty_score":0.008135378},"labels":[],"label_agreement":null},{"id":"W2789577759","doi":"10.1109/tvt.2018.2810073","title":"Channel State Classification in Cognitive Small-Cell Networks With Multiple Transmission Powers","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Macrocell; Cognitive radio; Computer science; Transmission (telecommunications); Interference (communication); Base station; Channel (broadcasting); Performance metric; Metric (unit); A priori and a posteriori; Artificial intelligence; Engineering; Computer network; Wireless; Telecommunications","score_opus":0.010736227171919816,"score_gpt":0.21302049875766327,"score_spread":0.20228427158574344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789577759","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":[0.2002909,0.000506534,0.7962545,0.00022522177,0.00004657147,0.000060459945,0.00004644298,0.00023468724,0.0023346285],"genre_scores_gemma":[0.97330827,0.00012676207,0.025952172,0.000062024665,0.000025774605,0.000035594778,0.000031926917,0.0000072765397,0.00045012927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991365,0.00020700038,0.000036199814,0.00017131011,0.00027265924,0.00017632719],"domain_scores_gemma":[0.99792945,0.0012699431,0.00025498378,0.00016855489,0.00029820888,0.00007888001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096693385,0.00051650335,0.00051651936,0.00054978457,0.0006441533,0.0010023452,0.00093631184,0.0005303781,0.00037387386],"category_scores_gemma":[0.0047735977,0.00022818227,0.00026109247,0.0005133716,0.0010389591,0.0011646843,0.00076096423,0.00059361226,0.000087533874],"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":[0.00037822727,0.00013318076,0.0050383722,0.000072206865,0.000048048703,0.00019168777,0.00020552194,0.84756076,0.007544344,0.015769776,0.0007549209,0.12230302],"study_design_scores_gemma":[0.000004119967,0.000022787524,0.00029358195,0.0000018121173,0.0000067508545,0.000022541855,0.000018924324,0.99593276,0.0011881347,0.002437644,0.00006559638,0.0000052577466],"about_ca_topic_score_codex":0.0049500028,"about_ca_topic_score_gemma":0.00470062,"teacher_disagreement_score":0.0049500028,"about_ca_system_score_codex":0.000960674,"about_ca_system_score_gemma":0.0009730351,"threshold_uncertainty_score":0.009842396},"labels":[],"label_agreement":null},{"id":"W2789624023","doi":"10.1109/tvt.2018.2805638","title":"When NOMA Meets Multiuser Cognitive Radio: Opportunistic Cooperation and User Scheduling","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":74,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cognitive radio; Noma; Scheduling (production processes); Computer science; Outage probability; Computer network; Overlay; Scheme (mathematics); Fading; Mathematical optimization; Telecommunications; Telecommunications link; Wireless; Mathematics; Channel (broadcasting)","score_opus":0.016190657019030125,"score_gpt":0.2440782759148974,"score_spread":0.22788761889586726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789624023","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":[0.11706627,0.0008066969,0.86356544,0.00090443186,0.00026362244,0.000118197815,0.000118189586,0.00025633807,0.016900849],"genre_scores_gemma":[0.9831231,0.00021568446,0.014660551,0.00012314272,0.00013266498,0.00006974377,0.000030345038,0.000020507392,0.0016241893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973641,0.0009085684,0.00009781309,0.00038403468,0.0006702172,0.00057523645],"domain_scores_gemma":[0.9927884,0.00482444,0.00081798044,0.0005626491,0.00060714234,0.00039935336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031035023,0.00085125846,0.0013062336,0.00070577307,0.0016698979,0.0023768966,0.0011660897,0.0016224062,0.0013227345],"category_scores_gemma":[0.014226484,0.0006440458,0.00047245188,0.000899899,0.0015870278,0.0023046646,0.0019552426,0.0010397132,0.0003039539],"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":[0.0006830393,0.00018049787,0.009601922,0.0002979985,0.00024597833,0.0056264503,0.0011488006,0.5259711,0.012230592,0.3885101,0.0059129857,0.04959043],"study_design_scores_gemma":[0.00002798672,0.00006884703,0.0006669053,0.000015115539,0.000030367102,0.00078706467,0.00027121714,0.9237492,0.0012403934,0.07149025,0.0016258712,0.000026698035],"about_ca_topic_score_codex":0.002405258,"about_ca_topic_score_gemma":0.0028489882,"teacher_disagreement_score":0.0031035023,"about_ca_system_score_codex":0.0010612074,"about_ca_system_score_gemma":0.0016397702,"threshold_uncertainty_score":0.016413152},"labels":[],"label_agreement":null},{"id":"W2789886422","doi":"10.1109/tvt.2018.2808237","title":"Low Complexity and Fast Processing Algorithms for V2I Massive MIMO Uplink Detection","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Telecommunications link; Computational complexity theory; Algorithm; Iterative method; Block (permutation group theory); Efficient energy use; Low latency (capital markets); Computer engineering; Real-time computing; Channel (broadcasting); Engineering; Telecommunications; Mathematics","score_opus":0.014450959765693825,"score_gpt":0.24310333667864428,"score_spread":0.22865237691295046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789886422","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":[0.0021223167,0.0002595373,0.9959806,0.000076915414,0.00003704356,0.000027739265,0.000017152168,0.00023382997,0.0012448373],"genre_scores_gemma":[0.16066276,0.0010259036,0.8332891,0.00016426225,0.00013869097,0.00025852484,0.00020304235,0.000087274144,0.004170472],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999315,0.000118813805,0.000032577747,0.00008604664,0.00037626986,0.00007132225],"domain_scores_gemma":[0.9992262,0.00034016476,0.00010785401,0.0000975037,0.0002004823,0.000027836957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006540405,0.0010174147,0.00069842767,0.00053163077,0.0005646408,0.0008891379,0.00087617495,0.0006955052,0.002280107],"category_scores_gemma":[0.0023644576,0.0004299851,0.0005696057,0.0008839112,0.00050596654,0.0010508333,0.0008905309,0.0015925098,0.0012053818],"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":[0.00019789656,0.0001319357,0.0009434159,0.00029952577,0.000084581974,0.00012947172,0.00021170809,0.43633258,0.033532586,0.06929637,0.005808859,0.4530311],"study_design_scores_gemma":[0.000018483666,0.000057743746,0.00020660204,0.000011010566,0.000009037114,0.00008207104,0.00001790774,0.9836625,0.0058456827,0.0073674414,0.002703367,0.000018204044],"about_ca_topic_score_codex":0.0027223378,"about_ca_topic_score_gemma":0.0034450023,"teacher_disagreement_score":0.0027223378,"about_ca_system_score_codex":0.0006681803,"about_ca_system_score_gemma":0.0017943417,"threshold_uncertainty_score":0.0076277256},"labels":[],"label_agreement":null},{"id":"W2790998462","doi":"10.1109/tvt.2018.2805767","title":"Joint Optimization of Channel Selection and Frame Scheduling for Coexistence of LTE and WLAN","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":28,"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":"National Research Foundation of Korea","keywords":"Scheduling (production processes); Computer science; Computer network; LTE Advanced; Throughput; Frame (networking); Wireless; Wi-Fi; Selection algorithm; Wireless network; Telecommunications link; Selection (genetic algorithm); Engineering; Telecommunications","score_opus":0.02010951569257009,"score_gpt":0.25582625324085057,"score_spread":0.23571673754828049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790998462","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":[0.176354,0.00051930593,0.81749314,0.00029616573,0.00006381133,0.000074747,0.000055074837,0.00022055204,0.004923195],"genre_scores_gemma":[0.9622296,0.0001319156,0.036745355,0.000032580232,0.000024305129,0.00004121993,0.00002836765,0.000020553465,0.0007460649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952817,0.00017994885,0.000012829279,0.000056826386,0.000079461344,0.00014274767],"domain_scores_gemma":[0.99912244,0.0005900342,0.0000945609,0.000029490935,0.000093786904,0.000069687216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009203276,0.0007048213,0.0006140984,0.00037071193,0.00036387824,0.0005468816,0.00047039601,0.00042886636,0.0010587228],"category_scores_gemma":[0.0020507348,0.00025943763,0.00024734912,0.00048893463,0.00054722675,0.0005303606,0.0005000162,0.00040681637,0.00011629643],"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":[0.00012514052,0.000054932094,0.00051132054,0.000023509687,0.000014226421,0.000036104524,0.000021910782,0.9745026,0.002774748,0.003486072,0.00048080197,0.017968623],"study_design_scores_gemma":[0.000011226248,0.000034404908,0.00012245678,0.0000010387064,0.000004869877,0.0000065674317,0.000010647273,0.9984068,0.00043776512,0.00086045294,0.00010120105,0.0000025146394],"about_ca_topic_score_codex":0.0061507267,"about_ca_topic_score_gemma":0.006960354,"teacher_disagreement_score":0.0061507267,"about_ca_system_score_codex":0.00086137827,"about_ca_system_score_gemma":0.0021483605,"threshold_uncertainty_score":0.01222986},"labels":[],"label_agreement":null},{"id":"W2791224295","doi":"10.1109/tvt.2018.2809616","title":"Content-Aware Cooperative Transmission in HetNets With Consideration of Base Station Height","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Macrocell; Base station; Computer science; Stochastic geometry; Cache; Cellular network; Transmission (telecommunications); Computer network; Interference (communication); Heterogeneous network; Spectral efficiency; Wireless network; Wireless; Telecommunications; Mathematics; Statistics","score_opus":0.012993893996349544,"score_gpt":0.2206890569744755,"score_spread":0.20769516297812596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791224295","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":[0.52653205,0.0012435917,0.46348572,0.00021039115,0.00007962998,0.00004952394,0.00012004487,0.00016064024,0.008118359],"genre_scores_gemma":[0.9949538,0.00022190732,0.004141534,0.000031505642,0.000012401524,0.000014704579,0.000022028049,0.0000074181107,0.0005946386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997054,0.00009569075,0.0000080864265,0.000044666453,0.000058761732,0.00008742573],"domain_scores_gemma":[0.99887484,0.00066188205,0.00014934473,0.00007166315,0.00018739334,0.00005482879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067683065,0.00059369486,0.0006575104,0.00043318694,0.0005010785,0.0008115817,0.00082196837,0.00057307316,0.0004762566],"category_scores_gemma":[0.0015775942,0.00035319992,0.00043870835,0.00060975493,0.0009414989,0.0010884694,0.00085514295,0.00032271945,0.000102186954],"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":[0.00005125171,0.000028371607,0.0011440117,0.00004354042,0.000041193256,0.00028640951,0.00009216602,0.9779338,0.006312329,0.009680533,0.0002378257,0.0041485354],"study_design_scores_gemma":[0.0000029599514,0.000022971399,0.0002458477,0.0000021442522,0.0000131230545,0.000029015646,0.00003680322,0.9975097,0.00041850927,0.0016301282,0.00008321328,0.0000055355104],"about_ca_topic_score_codex":0.0064697424,"about_ca_topic_score_gemma":0.007115359,"teacher_disagreement_score":0.0064697424,"about_ca_system_score_codex":0.0009913174,"about_ca_system_score_gemma":0.0005689689,"threshold_uncertainty_score":0.012864172},"labels":[],"label_agreement":null},{"id":"W2791890302","doi":"10.1109/tvt.2018.2817210","title":"Cache-Enabled Adaptive Video Streaming Over Vehicular Networks: A Dynamic Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":80,"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; Carleton University","funders":"","keywords":"Computer science; Cache; Computer network; Backhaul (telecommunications); Real-time computing; Video quality; Base station; Channel (broadcasting); Wireless; Telecommunications","score_opus":0.009455320865318804,"score_gpt":0.21663251752511364,"score_spread":0.20717719665979484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791890302","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":[0.08169177,0.0010961505,0.91380864,0.00022773111,0.000050840586,0.00003998115,0.00003670399,0.00022734163,0.002820804],"genre_scores_gemma":[0.9733568,0.00034487364,0.025436739,0.000032987864,0.000021149799,0.00002176588,0.000027775073,0.000018367624,0.00073954323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972254,0.00006596,0.00001318214,0.000054984914,0.00008316144,0.00006008757],"domain_scores_gemma":[0.9995049,0.00019677033,0.00007276386,0.00004266119,0.00013340506,0.000049415976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045900568,0.00055251183,0.0006260954,0.0004465696,0.0003604902,0.00063964754,0.0011383427,0.00046521708,0.00037252653],"category_scores_gemma":[0.0011340097,0.00022318728,0.00028937735,0.00052118924,0.00041169047,0.00077333517,0.0005707981,0.00052009796,0.000065563036],"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":[0.000084621075,0.00004150221,0.00078674784,0.000052657397,0.000035737925,0.000100012745,0.000051812105,0.9432507,0.008350898,0.010709566,0.00042311448,0.036112595],"study_design_scores_gemma":[0.0000028007566,0.000021166408,0.00007550035,0.0000017838145,0.0000051981337,0.000019370778,0.000010380244,0.997983,0.0004919099,0.0011917847,0.00019343689,0.0000036751198],"about_ca_topic_score_codex":0.0058150394,"about_ca_topic_score_gemma":0.0063592843,"teacher_disagreement_score":0.0058150394,"about_ca_system_score_codex":0.0008470434,"about_ca_system_score_gemma":0.0008894323,"threshold_uncertainty_score":0.011562347},"labels":[],"label_agreement":null},{"id":"W2791934992","doi":"10.1109/tvt.2018.2808359","title":"Hybrid-Learning-Based Classification and Quantitative Inference of Driver Braking Intensity of an Electrified Vehicle","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":111,"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 Waterloo","funders":"","keywords":"Brake; Electric vehicle; Computer science; Artificial neural network; Artificial intelligence; Powertrain; Support vector machine; Machine learning; Pattern recognition (psychology); Engineering; Automotive engineering; Torque; Power (physics)","score_opus":0.016569721038445992,"score_gpt":0.2528017116628563,"score_spread":0.2362319906244103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791934992","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":[0.46017703,0.00016181284,0.53696173,0.000051987357,0.0000302969,0.000047128815,0.00012197152,0.0008295913,0.0016184974],"genre_scores_gemma":[0.97986495,0.00003727634,0.019472968,0.000011359147,0.000008216263,0.000023840661,0.00010505699,0.000011956233,0.00046446134],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981374,0.000028807814,0.000014321659,0.0000592423,0.000057001515,0.000026983575],"domain_scores_gemma":[0.99959964,0.00014581028,0.00006242235,0.00003781776,0.00013564764,0.000018663146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003832001,0.00037490515,0.00033187005,0.00070962444,0.00012524922,0.00035710563,0.0004392967,0.00029021894,0.00040963758],"category_scores_gemma":[0.001018858,0.0001513415,0.00026827943,0.00032698084,0.00017890117,0.00042971244,0.00026890502,0.00030969977,0.00015981027],"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":[0.0006775285,0.0006226866,0.040083766,0.00018036076,0.00020215829,0.00014348558,0.00023190076,0.37372372,0.05691526,0.0010253099,0.00094398647,0.5252499],"study_design_scores_gemma":[0.0000049885143,0.00004535465,0.007416357,0.0000031025775,0.000011190085,0.000029982311,0.000019174448,0.98706275,0.005021136,0.00028751756,0.00008846554,0.000009988077],"about_ca_topic_score_codex":0.0023487995,"about_ca_topic_score_gemma":0.00286827,"teacher_disagreement_score":0.0023487995,"about_ca_system_score_codex":0.00022861434,"about_ca_system_score_gemma":0.00020717115,"threshold_uncertainty_score":0.0046702027},"labels":[],"label_agreement":null},{"id":"W2792360484","doi":"10.1109/tvt.2018.2796563","title":"Data Uploading in Hybrid V2V/V2I Vehicular Networks: Modeling and Cooperative Strategy","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":53,"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":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Upload; Computer science; Correctness; Vehicular ad hoc network; Computer network; Scheduling (production processes); Vehicular communication systems; Distributed computing; Real-time computing; Wireless ad hoc network; Engineering; Telecommunications; Wireless","score_opus":0.020394817785440094,"score_gpt":0.24168275423086993,"score_spread":0.22128793644542985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792360484","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":[0.18230139,0.0018235709,0.80220836,0.0005965415,0.00007352033,0.00010373833,0.00011828538,0.00018853144,0.012586064],"genre_scores_gemma":[0.9863819,0.0006885512,0.009767839,0.000033557193,0.00002526993,0.00006400702,0.00003517978,0.00001357057,0.002990065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996761,0.00009738354,0.000012244097,0.000065709195,0.00008000695,0.000068634356],"domain_scores_gemma":[0.9994067,0.00030473448,0.00011798953,0.000029581757,0.00010997687,0.00003109006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005521457,0.0007316491,0.0006249213,0.00065331603,0.0005500074,0.00092113524,0.0012727143,0.0008869658,0.0006514616],"category_scores_gemma":[0.0012173065,0.00034592187,0.0004434811,0.00097615033,0.0007152563,0.0013709683,0.0007425829,0.00047265342,0.00016225067],"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":[0.000024986131,0.000025360878,0.0004974526,0.000035772006,0.000013526962,0.00009253633,0.00008673647,0.9820727,0.0014863823,0.010145542,0.00028446305,0.0052344617],"study_design_scores_gemma":[0.0000017673451,0.000013346915,0.000057653364,0.0000013861272,0.0000036311947,0.000012789853,0.000023625289,0.9983675,0.00015837321,0.0012133641,0.0001437276,0.0000028100562],"about_ca_topic_score_codex":0.012497871,"about_ca_topic_score_gemma":0.0072211386,"teacher_disagreement_score":0.012497871,"about_ca_system_score_codex":0.0012883523,"about_ca_system_score_gemma":0.0007818424,"threshold_uncertainty_score":0.02485025},"labels":[],"label_agreement":null},{"id":"W2792483365","doi":"10.1109/tvt.2018.2797002","title":"Offline and Online Scheduling Algorithms for Energy Harvesting RSUs in VANETs","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":45,"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":"Computer science; Scheduling (production processes); Greedy algorithm; Distributed computing; Mathematical optimization; Grid; Particle swarm optimization; Integer programming; Renewable energy; Algorithm; Engineering; Mathematics","score_opus":0.015251952024935301,"score_gpt":0.2397931039923022,"score_spread":0.2245411519673669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792483365","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":[0.04134487,0.0005317009,0.95316654,0.00025278958,0.00009797582,0.00012352946,0.00006848645,0.00049991976,0.003914123],"genre_scores_gemma":[0.80033535,0.00047399823,0.1949775,0.00012418741,0.00008437036,0.00024558548,0.00018569137,0.0001270985,0.00344617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992526,0.00027782063,0.000042004085,0.00014815066,0.00010797223,0.00017141776],"domain_scores_gemma":[0.9981523,0.0012232211,0.00022735576,0.00011237262,0.00016774253,0.00011686598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012194768,0.0011734617,0.0012632776,0.0006007963,0.00070263963,0.0011628938,0.001505859,0.0008956075,0.0020888597],"category_scores_gemma":[0.0028129835,0.00058635615,0.0005502522,0.0008995656,0.00078640896,0.0013393201,0.0009683657,0.00091260637,0.00036584833],"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":[0.00007027956,0.000052757572,0.00020665688,0.000031996096,0.00001599598,0.00002607732,0.00004163108,0.97071034,0.00075131154,0.005722222,0.0005835797,0.021787163],"study_design_scores_gemma":[0.000010849455,0.000020747158,0.000033815664,0.000002012922,0.0000026615307,0.0000063949187,0.000014938274,0.9974511,0.00019511474,0.0020794168,0.00018042239,0.0000024548956],"about_ca_topic_score_codex":0.0058670375,"about_ca_topic_score_gemma":0.006311562,"teacher_disagreement_score":0.0058670375,"about_ca_system_score_codex":0.001201545,"about_ca_system_score_gemma":0.0020995832,"threshold_uncertainty_score":0.0116657615},"labels":[],"label_agreement":null},{"id":"W2792705166","doi":"10.1109/tvt.2018.2812724","title":"Performance Analysis of Massive MIMO Two-Way Relay Networks With Pilot Contamination, Imperfect CSI, and Antenna Correlation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Relay; Antenna (radio); Channel state information; Node (physics); Relay channel; Channel (broadcasting); Cooperative MIMO; Computer science; Electronic engineering; Topology (electrical circuits); 3G MIMO; Telecommunications; Power (physics); Wireless; Engineering; Electrical engineering; Physics","score_opus":0.004435720441668621,"score_gpt":0.19816906976765059,"score_spread":0.19373334932598196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792705166","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":[0.40871248,0.0032670111,0.56199664,0.001245603,0.000116518146,0.00011417963,0.0004217668,0.0007053747,0.023420539],"genre_scores_gemma":[0.99254465,0.0005174605,0.00588255,0.00004710431,0.00002282321,0.000030562012,0.000044063723,0.000016563909,0.0008942942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989724,0.00044677162,0.00003107305,0.00012419256,0.00019786236,0.00022774078],"domain_scores_gemma":[0.9954862,0.0028895035,0.00052410545,0.00023938269,0.0007220009,0.00013889585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016753641,0.0015790564,0.0012482272,0.0006691744,0.0005952164,0.0015808345,0.0011908329,0.00119559,0.0013194173],"category_scores_gemma":[0.005928964,0.00048236368,0.0005696122,0.0009463153,0.0014851736,0.0012382411,0.0013543899,0.00069173035,0.00030022254],"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":[0.00009558246,0.000017999313,0.000609414,0.00006859858,0.000033913257,0.00022004699,0.000045890498,0.98561215,0.003046046,0.00740101,0.00025940363,0.0025901133],"study_design_scores_gemma":[0.0000057159286,0.00006159036,0.00020080207,0.000007861396,0.000016740296,0.00007570978,0.000025793519,0.9975297,0.0006823472,0.0013079318,0.00007645261,0.000009335781],"about_ca_topic_score_codex":0.0057780356,"about_ca_topic_score_gemma":0.0030246312,"teacher_disagreement_score":0.0057780356,"about_ca_system_score_codex":0.0016389053,"about_ca_system_score_gemma":0.0009395737,"threshold_uncertainty_score":0.011891127},"labels":[],"label_agreement":null},{"id":"W2793054715","doi":"10.1109/tvt.2018.2816822","title":"Network Coding Aided Collaborative Real-Time Scalable Video Transmission in D2D Communications","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Computer science; Scalability; Linear network coding; Network packet; Scalable Video Coding; Scheduling (production processes); Coding (social sciences); Computer network; Decoding methods; Schedule; Real-time computing; Video quality; Distributed computing; Algorithm; Engineering","score_opus":0.0204935809473763,"score_gpt":0.27338189489933384,"score_spread":0.25288831395195754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793054715","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042058688,0.0004529147,0.9548043,0.00015150441,0.00003527224,0.00004935794,0.00004615414,0.00017840555,0.0022235054],"genre_scores_gemma":[0.8979916,0.00045228642,0.099660955,0.00006250198,0.00002797387,0.000086329346,0.000094072435,0.000021520862,0.0016028769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943155,0.00016036618,0.000027278644,0.0001041262,0.00019560005,0.000081067585],"domain_scores_gemma":[0.99918777,0.00044856753,0.00010216221,0.0000905429,0.00013290363,0.000037999893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061442715,0.00052694074,0.0006006526,0.00046048255,0.0003850851,0.00052289077,0.0009215316,0.00050683564,0.00072980684],"category_scores_gemma":[0.0019592042,0.00019296058,0.00028649604,0.0008865974,0.0004371383,0.00095038716,0.000793602,0.0005764285,0.000116833304],"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":[0.00013600494,0.000059996422,0.00046396808,0.00011104941,0.000025235277,0.00015486444,0.00008989145,0.89332646,0.012669536,0.015823469,0.0014656328,0.0756738],"study_design_scores_gemma":[0.000006681221,0.000021339512,0.00006647558,0.00000244279,0.0000043145187,0.000026981332,0.0000113591905,0.9954513,0.0019175009,0.0022312396,0.00025585285,0.000004522008],"about_ca_topic_score_codex":0.005067602,"about_ca_topic_score_gemma":0.0055768653,"teacher_disagreement_score":0.005067602,"about_ca_system_score_codex":0.0008197407,"about_ca_system_score_gemma":0.0012146698,"threshold_uncertainty_score":0.010076165},"labels":[],"label_agreement":null},{"id":"W2793899835","doi":"10.1109/tvt.2018.2799939","title":"Full-Duplex Non-Orthogonal Multiple Access in Cooperative Relay Sharing for 5G Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":124,"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":"","keywords":"Noma; Telecommunications link; Relay; Single antenna interference cancellation; Computer science; Decodes; Interference (communication); Correctness; Topology (electrical circuits); Decoding methods; Computer network; Mathematics; Telecommunications; Algorithm; Channel (broadcasting); Physics; Combinatorics","score_opus":0.022989992143804105,"score_gpt":0.27975208543678953,"score_spread":0.25676209329298544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793899835","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":[0.12590538,0.004078773,0.86007804,0.00028009707,0.000078234836,0.00006738196,0.00007104273,0.00020023172,0.009240776],"genre_scores_gemma":[0.96256196,0.0009640694,0.035277646,0.000053175554,0.000028225708,0.00004132763,0.000020847056,0.000005308139,0.0010474565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954754,0.00021871405,0.000016493485,0.00005193155,0.00010628383,0.000059081092],"domain_scores_gemma":[0.999592,0.00020694864,0.000056591292,0.00005970805,0.000073493095,0.000011232235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006895468,0.0003847461,0.00035154502,0.00031615436,0.0004251745,0.00071083667,0.000626975,0.0005573595,0.00078146096],"category_scores_gemma":[0.00084930315,0.00016522102,0.0003129841,0.00046148177,0.00051618274,0.0007172665,0.0005597082,0.00028118538,0.00015884222],"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":[0.00023565278,0.00009211734,0.0019237987,0.0004537531,0.00013182558,0.0013547076,0.00058670284,0.6641707,0.032084778,0.17780472,0.0022110734,0.1189502],"study_design_scores_gemma":[0.000011650675,0.00019722318,0.0003231107,0.00002241462,0.0000336287,0.0003985977,0.000099302546,0.97249347,0.0030120176,0.020061646,0.0033240702,0.000022813047],"about_ca_topic_score_codex":0.0016631254,"about_ca_topic_score_gemma":0.0032377923,"teacher_disagreement_score":0.0016631254,"about_ca_system_score_codex":0.00051298324,"about_ca_system_score_gemma":0.0005065497,"threshold_uncertainty_score":0.003722012},"labels":[],"label_agreement":null},{"id":"W2795532366","doi":"10.1109/tvt.2018.2823538","title":"Current Sensorless MTPA Operation of Interior PMSM Drives for Vehicular Applications","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":69,"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":"Control theory (sociology); Ampere; Voltage; Torque; Trajectory; Current loop; Machine control; Engineering; Computer science; Control (management); Control engineering; Electrical engineering; Physics","score_opus":0.00829050961621993,"score_gpt":0.24074718395202446,"score_spread":0.23245667433580453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795532366","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":[0.01527404,0.00045040593,0.978534,0.00007627648,0.00007028595,0.000037034035,0.00002320713,0.00066929153,0.004865505],"genre_scores_gemma":[0.88941044,0.0003155243,0.10605268,0.000044756616,0.000060096543,0.00006094915,0.00006299133,0.000057209272,0.0039353953],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972695,0.00004137227,0.000015090709,0.000042203636,0.00016072765,0.000013608288],"domain_scores_gemma":[0.99976724,0.000042123505,0.000047448983,0.000044893768,0.000088039844,0.0000102085505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018443428,0.00036094792,0.00033333563,0.00024560984,0.00020773013,0.00040576214,0.00068730203,0.0002641099,0.001168606],"category_scores_gemma":[0.0005505917,0.00012286365,0.00015390351,0.00016971843,0.000291878,0.00052322453,0.0002834355,0.00051086454,0.00059140753],"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":[0.00021420688,0.00008341949,0.0012146526,0.0007179204,0.000023885272,0.00027879342,0.000384661,0.030553473,0.3363188,0.02974454,0.0027951342,0.5976706],"study_design_scores_gemma":[0.00006223516,0.0011924834,0.0027721731,0.00009582508,0.000034237775,0.0013584616,0.000102509934,0.67411864,0.23950112,0.010340542,0.07036047,0.00006138586],"about_ca_topic_score_codex":0.00025475686,"about_ca_topic_score_gemma":0.00033834146,"teacher_disagreement_score":0.001168606,"about_ca_system_score_codex":0.00015487128,"about_ca_system_score_gemma":0.00019501924,"threshold_uncertainty_score":0.003909409},"labels":[],"label_agreement":null},{"id":"W2797325295","doi":"10.1109/tvt.2018.2824311","title":"Spectral and Energy Efficiency Tradeoff for Massive MIMO","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":62,"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":"","keywords":"Telecommunications link; Beamforming; Duality (order theory); MIMO; Spectral efficiency; Mathematical optimization; Channel state information; Maximization; Computer science; Strong duality; Optimization problem; Wireless; Efficient energy use; Mathematics; Engineering; Telecommunications; Discrete mathematics; Electrical engineering","score_opus":0.0059980754148553665,"score_gpt":0.20873314298273538,"score_spread":0.20273506756788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797325295","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":[0.028084721,0.00055075856,0.96250474,0.00027463533,0.000036087382,0.000019426878,0.000039809398,0.00010452632,0.00838524],"genre_scores_gemma":[0.9213675,0.00075102015,0.075304866,0.00019279867,0.00006898025,0.000071737064,0.00004846059,0.0000346358,0.002160012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992322,0.00034897498,0.00002344311,0.000065188025,0.00024720427,0.000083057246],"domain_scores_gemma":[0.9989178,0.00075306784,0.00008816342,0.00008168338,0.00011788234,0.000041476404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012710934,0.00065218285,0.00046590535,0.000308341,0.00025200023,0.00086781353,0.00042523892,0.0005803486,0.0013140186],"category_scores_gemma":[0.0035334225,0.00031008146,0.0002692321,0.0006297451,0.00072859216,0.001047907,0.00087197236,0.0006546773,0.00040433247],"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":[0.00012654572,0.00007378764,0.0008414089,0.00015258523,0.000041900115,0.00017930169,0.00009450859,0.7723152,0.022683043,0.15696186,0.0015598092,0.044970073],"study_design_scores_gemma":[0.000009509148,0.000086853994,0.00028778377,0.000015067375,0.000008294018,0.00012412343,0.000030032947,0.95175654,0.0030683468,0.043709487,0.00089158263,0.000012334408],"about_ca_topic_score_codex":0.00024223514,"about_ca_topic_score_gemma":0.0003555432,"teacher_disagreement_score":0.0013140186,"about_ca_system_score_codex":0.0005112818,"about_ca_system_score_gemma":0.00046205535,"threshold_uncertainty_score":0.0067222714},"labels":[],"label_agreement":null},{"id":"W2799298886","doi":"10.1109/tvt.2018.2833447","title":"Battery Recharge Time of a Stochastic Linear and Nonlinear Energy Harvesting Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":8,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Groundwater recharge; Stochastic process; Nonlinear system; Monte Carlo method; Energy (signal processing); Stochastic modelling; Applied mathematics; Battery (electricity); Energy harvesting; Computer science; Mathematical optimization; Mathematics; Engineering; Power (physics); Physics; Statistics","score_opus":0.007130397652046363,"score_gpt":0.19586399507023247,"score_spread":0.1887335974181861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799298886","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":[0.752676,0.0010514793,0.2336915,0.00089641,0.000061958075,0.00006739643,0.00021139756,0.0001992766,0.011144604],"genre_scores_gemma":[0.9971937,0.00011200419,0.00093699776,0.000020033158,0.000007649594,0.000010748449,0.000025171772,0.000009307892,0.0016844983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997019,0.00006132937,0.000019018926,0.00005350201,0.00008046653,0.000083766885],"domain_scores_gemma":[0.99816376,0.0012404044,0.0002799008,0.00006515362,0.00017472066,0.00007611565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010362694,0.00033387504,0.0005714129,0.0004022171,0.0004036558,0.0007198636,0.00060884084,0.00063266576,0.002505592],"category_scores_gemma":[0.0037481205,0.00024005095,0.0005181066,0.00041627738,0.0010608035,0.0010366124,0.0005913529,0.00060379365,0.00014129799],"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":[0.000252537,0.00004426179,0.0028898695,0.00012500916,0.000049391583,0.00065854815,0.0002057033,0.9325889,0.007916197,0.048951317,0.00045355724,0.0058648083],"study_design_scores_gemma":[0.000006614465,0.000027153852,0.000644203,0.000005408159,0.000011603711,0.00007121421,0.00004684442,0.99437666,0.00082040206,0.0038602909,0.00012056019,0.000009192546],"about_ca_topic_score_codex":0.0029619643,"about_ca_topic_score_gemma":0.001732811,"teacher_disagreement_score":0.0029619643,"about_ca_system_score_codex":0.0009267614,"about_ca_system_score_gemma":0.0005870176,"threshold_uncertainty_score":0.008382082},"labels":[],"label_agreement":null},{"id":"W2803323405","doi":"10.1109/tvt.2018.2839352","title":"Directed-Hypergraph-Based Channel Allocation for Ultradense Cloud D2D Communications With Asymmetric Interference","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"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":"National Natural Science Foundation of China","keywords":"Hypergraph; Computer science; Potential game; Interference (communication); Channel allocation schemes; Channel (broadcasting); Nash equilibrium; Context (archaeology); Cloud computing; Distributed computing; Mathematical optimization; Computer network; Theoretical computer science; Wireless; Mathematics; Telecommunications; Discrete mathematics","score_opus":0.012614749783667745,"score_gpt":0.229713355189824,"score_spread":0.21709860540615625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803323405","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":[0.0190289,0.00031908866,0.9773342,0.00018677962,0.000032033797,0.000033772892,0.000034336423,0.000087937624,0.002942877],"genre_scores_gemma":[0.913706,0.0005058348,0.08220001,0.00020742993,0.000044626802,0.00009615269,0.000058090525,0.000033515156,0.0031482594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926466,0.00031766706,0.00001881502,0.00013319847,0.00014861349,0.000117023104],"domain_scores_gemma":[0.9988661,0.0006633935,0.000116562725,0.00010399387,0.00015394266,0.00009598801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067394384,0.0006709734,0.00075283006,0.0005280378,0.0006453029,0.0011498673,0.0015464254,0.00077404955,0.001490627],"category_scores_gemma":[0.0016678553,0.00029314973,0.0004159065,0.0011165295,0.00095795497,0.0016359789,0.0013956232,0.0010007046,0.00021087784],"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":[0.000055888642,0.000050547646,0.0004360088,0.00006183159,0.000033569453,0.00012570425,0.000073160445,0.93310684,0.002218996,0.037766907,0.0011173274,0.024953209],"study_design_scores_gemma":[0.0000038683343,0.000010572872,0.00005791448,0.000002603795,0.0000052386354,0.000024390522,0.000018549246,0.991381,0.00031889134,0.007808165,0.0003635278,0.000005281334],"about_ca_topic_score_codex":0.005228115,"about_ca_topic_score_gemma":0.0058015366,"teacher_disagreement_score":0.005228115,"about_ca_system_score_codex":0.0016135635,"about_ca_system_score_gemma":0.0011596815,"threshold_uncertainty_score":0.011707246},"labels":[],"label_agreement":null},{"id":"W2807648040","doi":"10.1109/tvt.2018.2844019","title":"Convolutionally Coded SNR-Adaptive Transmission for Low-Latency Communications","year":2018,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"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","keywords":"Computer science; Convolutional code; Turbo code; Decoding methods; Bit error rate; Wireless; Link adaptation; Algorithm; Latency (audio); Forward error correction; Spectral efficiency; Electronic engineering; Telecommunications; Fading; Channel (broadcasting)","score_opus":0.02320934821001155,"score_gpt":0.27324070381736904,"score_spread":0.2500313556073575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807648040","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":[0.095003776,0.0005091481,0.8963454,0.00026173584,0.000062625004,0.0000437198,0.00007362679,0.0003490122,0.0073509556],"genre_scores_gemma":[0.9430672,0.00024912515,0.054322008,0.000056074412,0.000017723996,0.000021929296,0.000042621792,0.0000133523645,0.002209855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998568,0.000035376448,0.000004912074,0.000012929528,0.00006658423,0.000023271528],"domain_scores_gemma":[0.99965644,0.00015020277,0.0000587625,0.00003553757,0.000087133376,0.000011911521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029607536,0.00030339745,0.00014654791,0.00015352668,0.00015206159,0.00027641078,0.0005553262,0.00034100024,0.001183238],"category_scores_gemma":[0.0011134932,0.00008703033,0.00010191749,0.0003170357,0.0003653489,0.00043199028,0.0003521246,0.00037346117,0.00022662162],"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":[0.00018711427,0.000076435725,0.0015315643,0.00020466303,0.00003712129,0.00032346393,0.0001601096,0.7416705,0.0720832,0.07919739,0.0020202948,0.10250812],"study_design_scores_gemma":[0.0000069989082,0.000047917154,0.00018816283,0.000008781277,0.000007449972,0.000045311317,0.0000065972445,0.98888177,0.0060606706,0.0038820673,0.00085701735,0.0000072524376],"about_ca_topic_score_codex":0.0023267083,"about_ca_topic_score_gemma":0.0045140786,"teacher_disagreement_score":0.0023267083,"about_ca_system_score_codex":0.00058913976,"about_ca_system_score_gemma":0.0005044345,"threshold_uncertainty_score":0.0046263933},"labels":[],"label_agreement":null},{"id":"W2808835896","doi":"10.1109/tvt.2018.2848963","title":"Resource Allocation in SWIPT Networks Under a Nonlinear Energy Harvesting Model: Power Efficiency, User Fairness, and Channel Nonreciprocity","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Resource allocation; Channel state information; Base station; Mathematical optimization; Maximum power transfer theorem; Channel (broadcasting); Resource management (computing); Wireless; Electronic engineering; Power (physics); Computer network; Engineering; Telecommunications; Mathematics","score_opus":0.00783345160675796,"score_gpt":0.2035513164046251,"score_spread":0.19571786479786712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808835896","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":[0.059359558,0.00028693533,0.936357,0.0002504932,0.00002346652,0.000034969882,0.000030410769,0.000067530265,0.003589705],"genre_scores_gemma":[0.9657804,0.00028137895,0.03211781,0.00006482482,0.000028096907,0.00004492374,0.000014913761,0.000022915543,0.0016447261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992192,0.00035166336,0.000023066023,0.00012687511,0.00014408951,0.00013504252],"domain_scores_gemma":[0.99878365,0.00081640907,0.00014734002,0.0000969721,0.00010960591,0.000046027162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001431749,0.00071866956,0.0009338057,0.0003092,0.0006310101,0.00137692,0.0009524349,0.00085918134,0.00073154626],"category_scores_gemma":[0.0033668159,0.00031923677,0.00042339548,0.0006487472,0.0015535642,0.0017892665,0.0012841044,0.00071153545,0.00014362822],"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":[0.000097062984,0.00006399755,0.00047859005,0.00006683331,0.000032051565,0.00019104188,0.00008078599,0.9517465,0.0056696334,0.028162448,0.00035638126,0.01305474],"study_design_scores_gemma":[0.000004436448,0.0000167004,0.000053261418,0.000002042562,0.000004603889,0.00001768369,0.0000140534,0.9942274,0.0005061922,0.0050667687,0.00008276042,0.000004158442],"about_ca_topic_score_codex":0.0024768538,"about_ca_topic_score_gemma":0.0023361961,"teacher_disagreement_score":0.0024768538,"about_ca_system_score_codex":0.0010972014,"about_ca_system_score_gemma":0.00087895314,"threshold_uncertainty_score":0.007960796},"labels":[],"label_agreement":null},{"id":"W2882970861","doi":"10.1109/tvt.2018.2857718","title":"Cognitive Risk Control for Transmit-Waveform Selection in Vehicular Radar Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Robustness (evolution); Radar; Computer science; Cognition; Action selection; Waveform; Engineering; Artificial intelligence; Real-time computing; Perception; Telecommunications; Psychology","score_opus":0.008830898862829575,"score_gpt":0.230570997922779,"score_spread":0.2217400990599494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2882970861","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":[0.050506886,0.0003275814,0.94452745,0.0001503817,0.00006159511,0.00005388461,0.000016740963,0.0001949461,0.0041604843],"genre_scores_gemma":[0.97780824,0.000108287066,0.0210933,0.000044285018,0.000024678739,0.000035403256,0.000011865553,0.000009425732,0.00086440955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915254,0.00017361513,0.00004573022,0.00020343963,0.00027408238,0.00015054655],"domain_scores_gemma":[0.9989612,0.00039332377,0.0002241756,0.00006982816,0.00027986488,0.000071661554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010142245,0.00076902873,0.00052946585,0.0004176638,0.0006618961,0.0011273377,0.0008596882,0.00047033274,0.0008817931],"category_scores_gemma":[0.0031092258,0.0001891187,0.00031925808,0.00027894112,0.00070600177,0.0006974848,0.0010098447,0.00086766056,0.00013291628],"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":[0.00043509112,0.0001609533,0.0030112239,0.00015802169,0.00009052648,0.00037030387,0.00059710036,0.735393,0.036105976,0.054024234,0.0013279784,0.16832556],"study_design_scores_gemma":[0.000018592402,0.000114043236,0.0004926764,0.000007965818,0.000022990978,0.0000697365,0.000036826164,0.9875186,0.0033088105,0.007726338,0.00066577195,0.000017627359],"about_ca_topic_score_codex":0.0035856785,"about_ca_topic_score_gemma":0.0025653825,"teacher_disagreement_score":0.0035856785,"about_ca_system_score_codex":0.0006839976,"about_ca_system_score_gemma":0.0010425369,"threshold_uncertainty_score":0.0071296096},"labels":[],"label_agreement":null},{"id":"W2883183615","doi":"10.1109/tvt.2018.2860618","title":"Equal-Gain Transmission in Massive MIMO Systems Under Ricean Fading","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities","keywords":"Fading; MIMO; Electronic engineering; Transmission (telecommunications); Computer science; Fading distribution; Telecommunications; Engineering; Channel (broadcasting); Rayleigh fading","score_opus":0.00997887311944136,"score_gpt":0.229463194166143,"score_spread":0.21948432104670162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883183615","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":[0.17608295,0.001860929,0.81008106,0.0004466732,0.00008184208,0.000034634162,0.00012383952,0.00036512388,0.010923069],"genre_scores_gemma":[0.98372644,0.0010022393,0.013665295,0.00008149592,0.00006267703,0.00003109166,0.000040300958,0.000016687776,0.0013738628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998678,0.0004954098,0.00004243644,0.00015106949,0.00036544108,0.0002675768],"domain_scores_gemma":[0.99754494,0.0015662265,0.00033346793,0.00019267498,0.00030859717,0.00005415721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014240885,0.00086622575,0.0007066049,0.00039305814,0.00047352738,0.0010163132,0.0006576371,0.00068667583,0.00065082894],"category_scores_gemma":[0.004989532,0.000431584,0.0003495932,0.0007359543,0.0013570524,0.0015217534,0.00088486477,0.00064023247,0.00023341144],"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":[0.00012101139,0.000031649222,0.0007802172,0.0001491535,0.00003996062,0.000538836,0.00021359404,0.92172295,0.0072961785,0.051594466,0.00070380484,0.016808078],"study_design_scores_gemma":[0.0000120687455,0.00008003872,0.00034753096,0.000015447777,0.000022975082,0.00017222474,0.00007458351,0.9818679,0.0022808588,0.014657857,0.0004481849,0.00002038296],"about_ca_topic_score_codex":0.0029519182,"about_ca_topic_score_gemma":0.0021456564,"teacher_disagreement_score":0.0029519182,"about_ca_system_score_codex":0.0010174036,"about_ca_system_score_gemma":0.00061582506,"threshold_uncertainty_score":0.0075314045},"labels":[],"label_agreement":null},{"id":"W2883649305","doi":"10.1109/tvt.2019.2907253","title":"Joint Power and Time Allocation for NOMA–MEC Offloading","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":302,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council","keywords":"Noma; Computation offloading; Mobile edge computing; Computer science; Power (physics); Joint (building); Computation; Enhanced Data Rates for GSM Evolution; Power consumption; Edge computing; Energy consumption; Mathematical optimization; Computer network; Telecommunications link; Engineering; Algorithm; Mathematics; Telecommunications; Electrical engineering","score_opus":0.007394281403187429,"score_gpt":0.20760838529628994,"score_spread":0.2002141038931025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883649305","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":[0.025459947,0.0008334706,0.9606304,0.00028840365,0.00013334792,0.000059858983,0.00006795783,0.00012447684,0.012402265],"genre_scores_gemma":[0.93859094,0.0006152075,0.055032387,0.000107103464,0.00014857299,0.00007353774,0.000044003158,0.000043195247,0.0053449925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937147,0.00023049251,0.000024743535,0.000112898095,0.00013821041,0.00012219216],"domain_scores_gemma":[0.99948263,0.00030252672,0.00005536362,0.00005891977,0.000075713026,0.000024779583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053890503,0.0010833545,0.00068378873,0.000301857,0.00047701807,0.0011670503,0.000567017,0.0005104576,0.0022409481],"category_scores_gemma":[0.002081771,0.00028096215,0.00032139485,0.0006099415,0.0006163918,0.0011070078,0.0008534514,0.00048486874,0.00042183397],"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":[0.00036050813,0.0001719411,0.00083214574,0.0002591031,0.0000858188,0.00034869628,0.00013865101,0.7333307,0.023178844,0.08526313,0.0034552305,0.15257524],"study_design_scores_gemma":[0.000010477634,0.00007277318,0.0002637097,0.000014893979,0.000023211378,0.00014688718,0.000050350376,0.9741892,0.0028697539,0.020132253,0.0022129787,0.0000134685815],"about_ca_topic_score_codex":0.0009398203,"about_ca_topic_score_gemma":0.0022248398,"teacher_disagreement_score":0.0022409481,"about_ca_system_score_codex":0.00047753486,"about_ca_system_score_gemma":0.0007480669,"threshold_uncertainty_score":0.0074967146},"labels":[],"label_agreement":null},{"id":"W2884968439","doi":"10.1109/tvt.2018.2855696","title":"BER Analysis of WFRFT Precoded OFDM and GFDM Waveforms With an Integer Time Offset","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":33,"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":"National Natural Science Foundation of China","keywords":"Orthogonal frequency-division multiplexing; Offset (computer science); Waveform; Integer (computer science); Computer science; Electronic engineering; Telecommunications; Engineering","score_opus":0.004780642026876312,"score_gpt":0.2071504399902694,"score_spread":0.2023697979633931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884968439","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":[0.86418176,0.0015532018,0.12599653,0.00018533162,0.00005486376,0.000022479504,0.00019088855,0.00032896135,0.0074859113],"genre_scores_gemma":[0.97832745,0.00050283497,0.019676013,0.000036846563,0.0000118294265,0.000012610553,0.00010432301,0.000024138197,0.0013039974],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994646,0.00008368672,0.000023483428,0.00007557703,0.00027185,0.00008077392],"domain_scores_gemma":[0.9983864,0.0006985497,0.00027681584,0.00015170396,0.00045964433,0.000026882373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048344198,0.0005387453,0.00038318656,0.0005840776,0.00026690148,0.00041656912,0.00034045416,0.0006613674,0.0009510103],"category_scores_gemma":[0.0027286885,0.000115957926,0.00022037825,0.00068631076,0.0004356864,0.00083088345,0.00028276397,0.00027110058,0.00024953068],"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":[0.0016511442,0.00014062364,0.011736354,0.0006712596,0.0002093193,0.001444884,0.00049204426,0.40614662,0.42224535,0.022825804,0.0010016224,0.13143508],"study_design_scores_gemma":[0.00002308145,0.000285646,0.0055784793,0.00003526701,0.000047789308,0.00053771795,0.00010658301,0.86674196,0.12267933,0.0027268366,0.0011887603,0.00004854725],"about_ca_topic_score_codex":0.0013741506,"about_ca_topic_score_gemma":0.0011456158,"teacher_disagreement_score":0.0013741506,"about_ca_system_score_codex":0.0006094661,"about_ca_system_score_gemma":0.00031330207,"threshold_uncertainty_score":0.0044220686},"labels":[],"label_agreement":null},{"id":"W2886299710","doi":"10.1109/tvt.2018.2864141","title":"Modeling and Analysis of Coverage Degree and Target Detection for Autonomous Underwater Vehicle-Based System","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":36,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Underwater; Correctness; Trajectory; Computer science; Real-time computing; Mobile robot; Underwater acoustic communication; Point (geometry); Simulation; Marine engineering; Engineering; Artificial intelligence; Algorithm; Robot; Mathematics","score_opus":0.01673912585861778,"score_gpt":0.21620012952450096,"score_spread":0.19946100366588318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886299710","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":[0.07465219,0.0012248366,0.91506445,0.0005242649,0.000043618547,0.000051540002,0.00014003454,0.00020758166,0.008091456],"genre_scores_gemma":[0.9837329,0.00088986824,0.012411822,0.000053311374,0.000044018034,0.00008913835,0.00009039644,0.00003283579,0.0026558668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990802,0.00017785151,0.00003901778,0.00022218573,0.00031461005,0.00016601078],"domain_scores_gemma":[0.9988852,0.00051884295,0.00024012012,0.00007280174,0.00024104981,0.00004197071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070441706,0.0008841383,0.00073287694,0.0010760326,0.0005523244,0.0009740619,0.0016675362,0.0012832583,0.001209532],"category_scores_gemma":[0.0031777946,0.00044735684,0.0007650353,0.00094388006,0.0009861732,0.002239392,0.0012835407,0.00085823797,0.00021777998],"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":[0.000016245722,0.000009151309,0.00096857786,0.000044057982,0.000017246066,0.00012995147,0.00009600213,0.976219,0.0016590623,0.017337244,0.00019032566,0.0033131177],"study_design_scores_gemma":[8.651464e-7,0.0000058756386,0.00014496493,0.0000019090076,0.0000038258718,0.000022935514,0.000009414952,0.99771214,0.00010671586,0.0018911167,0.00009694505,0.0000033142069],"about_ca_topic_score_codex":0.011502878,"about_ca_topic_score_gemma":0.0041697673,"teacher_disagreement_score":0.011502878,"about_ca_system_score_codex":0.0017424603,"about_ca_system_score_gemma":0.00081257493,"threshold_uncertainty_score":0.022871852},"labels":[],"label_agreement":null},{"id":"W2886485116","doi":"10.1109/tvt.2018.2865852","title":"Investigation of Interior Permanent Magnet Motor With Dampers for Electric Vehicle Propulsion and Mitigation of Saliency Effect During Integrated Charging Operation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":24,"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; University of Windsor","funders":"","keywords":"Automotive engineering; Propulsion; Damper; Electric vehicle; Magnet; Engineering; Electrically powered spacecraft propulsion; Electrical engineering; Aerospace engineering; Structural engineering; Power (physics); Physics","score_opus":0.003919910646682152,"score_gpt":0.1879863065650107,"score_spread":0.18406639591832855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886485116","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":[0.71526295,0.00054186344,0.27759585,0.00012172392,0.00006425727,0.00013112609,0.000034210032,0.00037653098,0.005871526],"genre_scores_gemma":[0.98676354,0.00007054003,0.012285957,0.00000690317,0.0000043314685,0.000014339471,0.000011738779,0.0000064514516,0.00083619345],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998652,0.000025312438,0.0000072989,0.000016669628,0.00007083764,0.00001477236],"domain_scores_gemma":[0.9998078,0.00005178837,0.0000472555,0.000023899485,0.000056797955,0.000012566632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024899145,0.00022886645,0.00020284012,0.00015858645,0.000120107274,0.00020819313,0.00033605486,0.00025213047,0.000618576],"category_scores_gemma":[0.00038256004,0.00008906122,0.00015721004,0.00007773125,0.00020358743,0.00023317475,0.00013699218,0.00017856748,0.00011682572],"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":[0.00044965392,0.00017491516,0.0021863333,0.00054512394,0.000037399004,0.00040790727,0.00027863987,0.04259036,0.8501645,0.002932485,0.00057961466,0.099653095],"study_design_scores_gemma":[0.00010583767,0.0046264715,0.0087032635,0.00006056967,0.00010003351,0.0006967363,0.00023745239,0.49238017,0.47704774,0.0008698314,0.015143056,0.00002891179],"about_ca_topic_score_codex":0.00019181446,"about_ca_topic_score_gemma":0.00033023866,"teacher_disagreement_score":0.000618576,"about_ca_system_score_codex":0.0001608256,"about_ca_system_score_gemma":0.00014993445,"threshold_uncertainty_score":0.002069354},"labels":[],"label_agreement":null},{"id":"W2888044338","doi":"10.1109/tvt.2018.2866911","title":"Adaptive Channelized Greedy Algorithm for Analog Signal Compressive Sensing","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Matching pursuit; Algorithm; Noise (video); Compressed sensing; Signal reconstruction; Computer science; Channelized; Signal-to-noise ratio (imaging); Channel (broadcasting); SIGNAL (programming language); Noise measurement; Electronic engineering; Signal processing; Engineering; Artificial intelligence; Noise reduction; Telecommunications; Image (mathematics)","score_opus":0.016820419561586888,"score_gpt":0.2360399587092677,"score_spread":0.2192195391476808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888044338","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":[0.004641855,0.00016403076,0.9938834,0.00009158334,0.000026876629,0.000028720797,0.000022903041,0.00016503074,0.00097564684],"genre_scores_gemma":[0.35756567,0.00065538904,0.63733935,0.00025480005,0.00011821097,0.00031073418,0.00021956561,0.00008853567,0.0034476947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993523,0.00020597884,0.000029952755,0.000109069304,0.00022641191,0.00007630838],"domain_scores_gemma":[0.9994112,0.00032737252,0.000050257473,0.000058415222,0.00012614163,0.000026542943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006503778,0.00068937865,0.00066772895,0.0005949158,0.000385439,0.0005740807,0.0007914154,0.0008248161,0.0016548014],"category_scores_gemma":[0.0020358476,0.00028820444,0.00046233975,0.00096537266,0.00075665343,0.0009650016,0.001218346,0.00093343784,0.00047879262],"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":[0.00035106757,0.00008620676,0.0007324032,0.00017206963,0.00006847395,0.00015910379,0.00009889489,0.696731,0.015228273,0.056081958,0.003535825,0.22675475],"study_design_scores_gemma":[0.000018649745,0.000043321572,0.000057796176,0.0000052359774,0.000004974098,0.000050992592,0.000009105584,0.99096024,0.0018781746,0.005970218,0.0009908703,0.000010421559],"about_ca_topic_score_codex":0.002017892,"about_ca_topic_score_gemma":0.0018688241,"teacher_disagreement_score":0.002017892,"about_ca_system_score_codex":0.00046926938,"about_ca_system_score_gemma":0.0015572394,"threshold_uncertainty_score":0.005535841},"labels":[],"label_agreement":null},{"id":"W2888442703","doi":"10.1109/tvt.2018.2866365","title":"Computation Offloading and Content Caching in Wireless Blockchain Networks With Mobile Edge Computing","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":244,"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; Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Computer science; Distributed computing; Mobile edge computing; Cache; Edge computing; Blockchain; Wireless; Mobile device; Hash function; Computer network; Computation offloading; Wireless network; Cryptography; Enhanced Data Rates for GSM Evolution; Mobile computing; Server; Algorithm; Computer security; Operating system","score_opus":0.010738028215155855,"score_gpt":0.22978141493824478,"score_spread":0.21904338672308893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888442703","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":[0.18791646,0.00067863724,0.8044785,0.00047974964,0.000078802055,0.0001259467,0.000087789726,0.00028244816,0.0058717076],"genre_scores_gemma":[0.9760465,0.00016883491,0.022245564,0.000033957775,0.00002074956,0.000055649518,0.00003590318,0.000014393388,0.0013784046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904937,0.00030208318,0.00004751055,0.00016962338,0.00023225178,0.00019917714],"domain_scores_gemma":[0.9982869,0.0009273535,0.00020957731,0.0002530066,0.00019627486,0.00012688966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082904514,0.0005456762,0.0010478407,0.00039897073,0.000903805,0.0010448542,0.0011443715,0.0008359218,0.0013982021],"category_scores_gemma":[0.002714908,0.00030116714,0.0003238558,0.0009502736,0.0008404275,0.002170526,0.0013942682,0.0005717188,0.00020067516],"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":[0.00036358062,0.000103018625,0.0017325714,0.00010970355,0.00003112046,0.00064081827,0.00014232239,0.89417815,0.008291381,0.046084948,0.0012413735,0.04708097],"study_design_scores_gemma":[0.000010467589,0.000026077607,0.0000670965,0.0000036209706,0.0000037775937,0.000041447085,0.000016651842,0.9917291,0.0008343811,0.0069993585,0.00026347346,0.000004588337],"about_ca_topic_score_codex":0.0029944272,"about_ca_topic_score_gemma":0.0040170755,"teacher_disagreement_score":0.0029944272,"about_ca_system_score_codex":0.0008958205,"about_ca_system_score_gemma":0.0012892602,"threshold_uncertainty_score":0.0064995885},"labels":[],"label_agreement":null},{"id":"W2888816167","doi":"10.1109/tvt.2018.2868013","title":"Cooperative Task Scheduling for Computation Offloading in Vehicular Cloud","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":196,"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 Waterloo","funders":"Shanghai Key Laboratory of Digital Media Processing and Transmission; National Key Laboratory of Science and Technology on Communications; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cloud computing; Computer science; Computation offloading; Distributed computing; Mobile edge computing; Scheduling (production processes); Edge computing; Job shop scheduling; Computer network; Engineering; Operating system","score_opus":0.012711379132138993,"score_gpt":0.26105288635618823,"score_spread":0.24834150722404924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888816167","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":[0.15588847,0.0004553196,0.8391291,0.0002460243,0.00010406036,0.0001083156,0.000077874305,0.00029883918,0.0036920898],"genre_scores_gemma":[0.975128,0.00010142259,0.023656579,0.000028458844,0.00001812171,0.000045054912,0.00004101549,0.000021701406,0.0009595915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993284,0.0001373999,0.000029136409,0.00013120583,0.00013247434,0.00024142783],"domain_scores_gemma":[0.99936646,0.00024450163,0.000089874666,0.00007477445,0.00012292743,0.00010151989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006788035,0.00064211735,0.0008838413,0.00045050663,0.00094850425,0.00083722913,0.0011270043,0.00045283916,0.0011102849],"category_scores_gemma":[0.0014138577,0.00024578298,0.00042801705,0.0008014067,0.0005249555,0.00075411354,0.00093208253,0.000524187,0.00016467714],"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":[0.00023010364,0.00006354343,0.0006198334,0.000066782406,0.000022049086,0.00015519174,0.00010770998,0.95252204,0.008164094,0.01169705,0.0009553949,0.025396181],"study_design_scores_gemma":[0.000006892995,0.000022980945,0.000067286936,0.0000015730932,0.0000033393303,0.000012353351,0.000019438328,0.9968285,0.00067200244,0.0020954872,0.00026739723,0.0000028363459],"about_ca_topic_score_codex":0.009522215,"about_ca_topic_score_gemma":0.007775837,"teacher_disagreement_score":0.009522215,"about_ca_system_score_codex":0.0011718527,"about_ca_system_score_gemma":0.0020657317,"threshold_uncertainty_score":0.018933594},"labels":[],"label_agreement":null},{"id":"W2889651526","doi":"10.1109/tvt.2018.2869770","title":"On the Impact of User Scheduling on Diversity and Fairness in Cooperative NOMA","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Noma; Scheduling (production processes); Computer science; Rayleigh fading; Computer network; Base station; Independent and identically distributed random variables; Outage probability; User equipment; Proportionally fair; Distributed computing; Fading; Fair-share scheduling; Round-robin scheduling; Telecommunications link; Mathematical optimization; Random variable; Mathematics; Quality of service; Channel (broadcasting)","score_opus":0.015305476824155742,"score_gpt":0.24917322427335306,"score_spread":0.2338677474491973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889651526","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":[0.15055051,0.0033945178,0.83207077,0.0016847808,0.00039289336,0.0001297362,0.00008433164,0.00011415272,0.01157838],"genre_scores_gemma":[0.98213035,0.0007327351,0.015586144,0.00017789254,0.00034530484,0.00004659322,0.000013548387,0.000034885663,0.00093252317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9918285,0.004981795,0.00018750968,0.00073409267,0.0011291363,0.0011388749],"domain_scores_gemma":[0.9291536,0.06202539,0.0026515783,0.0018526515,0.003124506,0.0011922565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010859624,0.0010565188,0.0019369988,0.0008678627,0.0024335182,0.002382373,0.0018306664,0.0015840823,0.0015252148],"category_scores_gemma":[0.04415025,0.00066880527,0.000558821,0.0011912896,0.0028495926,0.0038172456,0.0023649784,0.0015941497,0.00020635457],"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":[0.0007347436,0.00020233062,0.005119724,0.0002315729,0.00014582559,0.00064104423,0.000612895,0.7720405,0.0064386935,0.17577147,0.0014083358,0.036652893],"study_design_scores_gemma":[0.000041702806,0.00016456464,0.00053810986,0.000024291094,0.000041025698,0.0001617217,0.00011618822,0.9522784,0.0014972034,0.044410083,0.00069470954,0.000031969288],"about_ca_topic_score_codex":0.0038144125,"about_ca_topic_score_gemma":0.0028793842,"teacher_disagreement_score":0.010859624,"about_ca_system_score_codex":0.0028250392,"about_ca_system_score_gemma":0.0026300964,"threshold_uncertainty_score":0.057431877},"labels":[],"label_agreement":null},{"id":"W2890009228","doi":"10.1109/tvt.2018.2871036","title":"A Markov Model for Batch-Based Opportunistic Routing in Multi-Hop Wireless Mesh Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"Computer network; Computer science; Wireless mesh network; Markov chain; Markov model; Hop (telecommunications); Wireless; Markov process; Wireless network; Distributed computing; Telecommunications; Mathematics","score_opus":0.025278024483775762,"score_gpt":0.2617061739582279,"score_spread":0.23642814947445212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890009228","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":[0.013763604,0.00036448272,0.98112315,0.0004465642,0.00009222125,0.00007950637,0.000300535,0.0002655221,0.0035644395],"genre_scores_gemma":[0.87336147,0.0014216859,0.11205859,0.00027804903,0.0002397518,0.0005889415,0.0006515744,0.000110543544,0.011289499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991289,0.00025082496,0.000047355097,0.00018189612,0.00021060454,0.00018040264],"domain_scores_gemma":[0.99761367,0.0015913185,0.00027324483,0.00016954674,0.00023819477,0.00011399145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015076553,0.0007607866,0.0010089206,0.0006966664,0.0008953532,0.0011888184,0.002731754,0.001420238,0.0033358466],"category_scores_gemma":[0.0036243293,0.0006299323,0.001169327,0.00087970006,0.0013861286,0.0023926187,0.0010988561,0.0017945238,0.0005345657],"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":[0.000076504715,0.000047602767,0.00088262546,0.0000711899,0.000028855029,0.00022340189,0.0001362809,0.7539503,0.0016759922,0.2351189,0.0015010628,0.006287342],"study_design_scores_gemma":[0.00001073514,0.000018072782,0.00009139631,0.000006258916,0.00000822014,0.000026525171,0.000008795866,0.97378427,0.00018135396,0.025287522,0.0005662576,0.000010618636],"about_ca_topic_score_codex":0.012782521,"about_ca_topic_score_gemma":0.010615663,"teacher_disagreement_score":0.012782521,"about_ca_system_score_codex":0.002729162,"about_ca_system_score_gemma":0.001724478,"threshold_uncertainty_score":0.025416195},"labels":[],"label_agreement":null},{"id":"W2890813471","doi":"10.1109/tvt.2018.2868869","title":"Efficient and Privacy-Preserving Dynamic Spatial Query Scheme for Ride-Hailing Services","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":45,"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 New Brunswick","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; TRACE (psycholinguistics); Service provider; Computer security; Location-based service; Service (business); Spatial query; Encryption; Scheme (mathematics); Spatial analysis; Cryptography; Computer network; Web search query; World Wide Web; Business; Web query classification; Search engine","score_opus":0.011984339407538876,"score_gpt":0.26202426142081753,"score_spread":0.2500399220132786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890813471","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09057806,0.0011966159,0.8997047,0.0007182232,0.00015872666,0.00050222327,0.00047863464,0.001794917,0.004867982],"genre_scores_gemma":[0.9287225,0.00041611213,0.06646651,0.00019998645,0.000077415745,0.00017141513,0.0004683407,0.00004445625,0.003433251],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99623233,0.00073698687,0.00032930248,0.00055132696,0.0015239691,0.0006260718],"domain_scores_gemma":[0.9972184,0.00048708371,0.00025841116,0.0011556174,0.00072083133,0.0001596052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015272326,0.0006058054,0.0012272286,0.00095385703,0.0015001962,0.0014271343,0.002185933,0.0010716006,0.0024306988],"category_scores_gemma":[0.0039121434,0.00030678223,0.0008640589,0.0016052863,0.0010832822,0.004643508,0.003920696,0.0013254036,0.0006763135],"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":[0.0035440535,0.00065470237,0.0055938596,0.0008360708,0.00032157503,0.001347412,0.0022928808,0.122511365,0.15538235,0.24281436,0.023929419,0.44077197],"study_design_scores_gemma":[0.00035184302,0.0008380684,0.0014210293,0.000037827896,0.00014682932,0.0022002722,0.0006992034,0.8737615,0.050581463,0.041425318,0.028298974,0.00023773275],"about_ca_topic_score_codex":0.0031076209,"about_ca_topic_score_gemma":0.0016063657,"teacher_disagreement_score":0.0031076209,"about_ca_system_score_codex":0.0016324422,"about_ca_system_score_gemma":0.0021304595,"threshold_uncertainty_score":0.011844218},"labels":[],"label_agreement":null},{"id":"W2891216649","doi":"10.1109/tvt.2018.2869946","title":"Achievable Rate Region of the Buffer-Aided Two-Way Energy Harvesting Relay Network","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":30,"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 Victoria","funders":"National Natural Science Foundation of China","keywords":"Relay; Computer network; Computer science; Scheduling (production processes); Wireless; Wireless network; Energy harvesting; Energy (signal processing); Power (physics); Mathematical optimization; Mathematics; Telecommunications","score_opus":0.008369156858101155,"score_gpt":0.19504433205403932,"score_spread":0.18667517519593815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891216649","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":[0.034835983,0.0017219157,0.9510035,0.0004848817,0.00005991374,0.0000918027,0.00021010941,0.00025100898,0.011340826],"genre_scores_gemma":[0.9256315,0.002485349,0.06696056,0.00018837588,0.0000692473,0.00040948877,0.00021583667,0.000088250265,0.0039512985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998139,0.0007336055,0.00006941522,0.00034835777,0.00037597585,0.00033364774],"domain_scores_gemma":[0.9944593,0.0039921943,0.0005178689,0.000246096,0.0006627752,0.00012186274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024791579,0.0023963877,0.0017208257,0.00087640167,0.0007639217,0.0024698973,0.0017760855,0.0012048635,0.0021389665],"category_scores_gemma":[0.008346917,0.0005799814,0.0007676263,0.0011012349,0.0016984498,0.0021064568,0.0020968094,0.0015608022,0.0006163383],"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":[0.00036641,0.00008135855,0.00057568436,0.000577426,0.00013800844,0.00053283374,0.00041358414,0.80598575,0.018113082,0.15375239,0.0019518902,0.01751157],"study_design_scores_gemma":[0.00003161842,0.00012855101,0.00016685533,0.00005150229,0.000037918988,0.00026966745,0.00008696912,0.9626679,0.004205255,0.031100355,0.0012177897,0.000035600402],"about_ca_topic_score_codex":0.0017832163,"about_ca_topic_score_gemma":0.0008463935,"teacher_disagreement_score":0.0024791579,"about_ca_system_score_codex":0.001714716,"about_ca_system_score_gemma":0.0014879871,"threshold_uncertainty_score":0.013111174},"labels":[],"label_agreement":null},{"id":"W2895968727","doi":"10.1109/tvt.2018.2875314","title":"Waveform Design for Kalman Filter-Based Target Scattering Coefficient Estimation in Adaptive Radar System","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Waveform; Clutter; Kalman filter; Convex optimization; Radar; Computer science; Semidefinite programming; Optimization problem; Algorithm; Control theory (sociology); Mathematical optimization; Mathematics; Artificial intelligence; Regular polygon; Telecommunications","score_opus":0.015679338774464608,"score_gpt":0.22228637347445984,"score_spread":0.20660703469999522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895968727","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001076501,0.00008334714,0.99838483,0.000025773443,0.000010693553,0.000008611059,0.000008375435,0.000060041686,0.0003418189],"genre_scores_gemma":[0.43867284,0.0012314466,0.5547303,0.00014406015,0.00013523045,0.00038784934,0.00035362007,0.00015187486,0.0041928017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946636,0.00012953482,0.00005362813,0.00011210262,0.00019958246,0.000038853632],"domain_scores_gemma":[0.99935526,0.00024510542,0.000074532116,0.000048122376,0.00025895305,0.000017969369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008674291,0.00078841916,0.0006535673,0.0003500953,0.00029062404,0.00083505485,0.0007337267,0.00088013813,0.0019214272],"category_scores_gemma":[0.0024144584,0.00047850635,0.0005014875,0.00053921645,0.00039050332,0.0012366758,0.0007080188,0.0009800302,0.00078759843],"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":[0.00014750795,0.00004332596,0.0006941376,0.00027766018,0.000051073195,0.000086660555,0.00014466744,0.7191564,0.021537721,0.017462146,0.0018828099,0.23851593],"study_design_scores_gemma":[0.000010034676,0.000029011,0.00007273014,0.000006377656,0.0000068089957,0.000020874646,0.00000553255,0.9960316,0.0018442713,0.0013099767,0.00065534725,0.000007404994],"about_ca_topic_score_codex":0.0031808126,"about_ca_topic_score_gemma":0.0022071756,"teacher_disagreement_score":0.0031808126,"about_ca_system_score_codex":0.00042225947,"about_ca_system_score_gemma":0.0010904028,"threshold_uncertainty_score":0.006427765},"labels":[],"label_agreement":null},{"id":"W2896593054","doi":"10.1109/tvt.2018.2875463","title":"Context Awareness Group Buying in D2D Networks: A Coalition Formation Game-Theoretic Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":45,"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":"National Natural Science Foundation of China; Nanjing University of Aeronautics and Astronautics; China Computer Federation","keywords":"Upload; Context (archaeology); Computer science; Download; Stochastic game; Order (exchange); Pareto principle; Nash equilibrium; Game theory; Cost sharing; Computer network; Operations research; Mathematical optimization; Microeconomics; Engineering; Economics; World Wide Web; Mathematics","score_opus":0.025449971388107225,"score_gpt":0.2612490365613358,"score_spread":0.23579906517322857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896593054","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":[0.028165404,0.00053834566,0.95798093,0.00066064746,0.000098834316,0.00017047262,0.000055497203,0.000080758895,0.012249093],"genre_scores_gemma":[0.8852802,0.0006483234,0.10870884,0.00020302967,0.000070330854,0.00021541509,0.000055559936,0.000025902209,0.0047923597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866724,0.0005659636,0.000055652403,0.00022086776,0.00032338704,0.00016700347],"domain_scores_gemma":[0.9990627,0.0004871497,0.000100151985,0.000082547136,0.00013431846,0.00013312699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012132031,0.0008819196,0.00095333054,0.00071289565,0.0011490379,0.0015003406,0.0019566948,0.0013700448,0.0020167085],"category_scores_gemma":[0.002251577,0.00037734068,0.0008380552,0.0009989733,0.0013181781,0.0030559811,0.0022590775,0.0013671792,0.00017230224],"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":[0.000115791176,0.00016759604,0.0012865835,0.00021364307,0.0001224962,0.0005341433,0.0004754307,0.6039532,0.0040980796,0.3421921,0.0025397092,0.044301268],"study_design_scores_gemma":[0.00002473935,0.00006565377,0.00016514234,0.000011399026,0.00003217726,0.00012026833,0.000121691686,0.945106,0.0005698408,0.05069201,0.0030684588,0.00002263068],"about_ca_topic_score_codex":0.0048634927,"about_ca_topic_score_gemma":0.004138203,"teacher_disagreement_score":0.0048634927,"about_ca_system_score_codex":0.0016709922,"about_ca_system_score_gemma":0.0015337777,"threshold_uncertainty_score":0.012123883},"labels":[],"label_agreement":null},{"id":"W2897742226","doi":"10.1109/tvt.2018.2876469","title":"Gravitational Apparent Motion-Based SINS Self-Alignment Method for Underwater Vehicles","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; China Postdoctoral Science Foundation; University of British Columbia; National Natural Science Foundation of China","keywords":"Quaternion; Gradient descent; Inertial navigation system; Control theory (sociology); Mathematics; Optimization problem; Computer science; Algorithm; Artificial intelligence; Geometry; Orientation (vector space); Artificial neural network","score_opus":0.010186880751546817,"score_gpt":0.25017859466148973,"score_spread":0.23999171390994292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897742226","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009472837,0.00016161645,0.9886798,0.000042459284,0.000042545293,0.000017238859,0.000011458985,0.00032360753,0.0012484734],"genre_scores_gemma":[0.4409852,0.0004357992,0.55160373,0.00009193951,0.00009848319,0.00010515033,0.0001581451,0.00013632936,0.006385154],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997843,0.000038827642,0.000011275806,0.000038475988,0.00010827463,0.000018847744],"domain_scores_gemma":[0.999828,0.000024816649,0.000030738982,0.00002290208,0.00008209627,0.000011446176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025043281,0.0005240958,0.00042373224,0.0004631622,0.0003002878,0.00029783975,0.0006117687,0.0003362412,0.0013764153],"category_scores_gemma":[0.00057343894,0.0002523688,0.00040123734,0.00052930234,0.00026496366,0.00062352204,0.0005515169,0.00043180128,0.00048136446],"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":[0.00013134572,0.000051425224,0.002217051,0.00018199481,0.00007941208,0.00012934368,0.00034878743,0.24176708,0.045276716,0.017888991,0.0046780487,0.68724984],"study_design_scores_gemma":[0.000010515333,0.00003648895,0.0003885473,0.0000058125484,0.000011047048,0.000054790922,0.000026403444,0.98972964,0.0048630154,0.0014807645,0.0033814015,0.00001156272],"about_ca_topic_score_codex":0.0034987174,"about_ca_topic_score_gemma":0.0033528463,"teacher_disagreement_score":0.0034987174,"about_ca_system_score_codex":0.0002594334,"about_ca_system_score_gemma":0.0007210892,"threshold_uncertainty_score":0.0069566965},"labels":[],"label_agreement":null},{"id":"W2898923096","doi":"10.1109/tvt.2018.2861902","title":"Low-Emission Maximum-Efficiency Tracking of an Intelligent Bi-Fuel Hydrogen–Gasoline Generator for HEV Applications","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internal combustion engine; Gasoline; Nonlinear system; Automotive engineering; Combustion; Power (physics); Control theory (sociology); Engineering; Computer science; Physics; Artificial intelligence","score_opus":0.014064551888199994,"score_gpt":0.26697228038630016,"score_spread":0.25290772849810017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898923096","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":[0.31244883,0.00047802797,0.6755557,0.00015082519,0.000044223052,0.00006783898,0.000038767557,0.0006407491,0.010575154],"genre_scores_gemma":[0.9772867,0.00006593784,0.02064163,0.000015162421,0.0000035800088,0.000017710478,0.000019331874,0.000010678732,0.001939208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999478,0.000009692615,0.0000025686154,0.000011505731,0.0000228912,0.0000055503897],"domain_scores_gemma":[0.9999534,0.000014979406,0.000008452452,0.0000055263044,0.000014406626,0.0000032056685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017791062,0.00025511027,0.00022709012,0.00018508609,0.00019359397,0.00026252677,0.0003892998,0.0002628,0.00048828026],"category_scores_gemma":[0.00013031097,0.000089945606,0.00012956311,0.00011166779,0.000121055746,0.00024220145,0.00015235519,0.00017022215,0.00018285448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053921074,0.00020775505,0.004715467,0.00031660893,0.000065444205,0.00029564832,0.00019103532,0.2203392,0.45078778,0.0038886059,0.0011521421,0.3175011],"study_design_scores_gemma":[0.000016353522,0.00017518028,0.0018795597,0.000006883025,0.000015163647,0.000077014694,0.000026267031,0.8726411,0.121940374,0.0004198024,0.0027905593,0.000011720933],"about_ca_topic_score_codex":0.0007573828,"about_ca_topic_score_gemma":0.001295715,"teacher_disagreement_score":0.0007573828,"about_ca_system_score_codex":0.00019979617,"about_ca_system_score_gemma":0.00014936452,"threshold_uncertainty_score":0.0016334653},"labels":[],"label_agreement":null},{"id":"W2899047321","doi":"10.1109/tvt.2018.2861391","title":"Device-to-Device Data Transfer Through Multihop Relay Links Underlaying Cellular Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Cellular network; Computer network; Backhaul (telecommunications); Base station; Data transmission; Relay; Scheduling (production processes); Transmission (telecommunications); Optimization problem; User equipment; Distributed computing; Mathematical optimization; Power (physics); Algorithm; Mathematics","score_opus":0.02790972556829216,"score_gpt":0.26158089183583144,"score_spread":0.23367116626753928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899047321","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":[0.21524583,0.0017235731,0.771389,0.0004361559,0.00006252106,0.0001305129,0.00015993475,0.00031336033,0.010539101],"genre_scores_gemma":[0.9652762,0.000589687,0.031868286,0.00003390542,0.000013782973,0.00007489633,0.000047809055,0.000016180838,0.0020791919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954563,0.00017897558,0.00001832208,0.00010077635,0.00008201761,0.0000742016],"domain_scores_gemma":[0.99926203,0.0005125379,0.00009276522,0.000057848396,0.000046690326,0.00002807484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005159436,0.00086319115,0.00074540864,0.0003877209,0.0006454425,0.000941294,0.00086145336,0.0008180821,0.0015377766],"category_scores_gemma":[0.0014295848,0.0002811811,0.00037638017,0.00064602995,0.00054449396,0.0010698619,0.0011833378,0.0004942665,0.00020833094],"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":[0.00006226099,0.000026483942,0.00027424007,0.00006609053,0.00001783115,0.00016070686,0.000050301325,0.9789996,0.00240432,0.0056788786,0.00036401395,0.011895229],"study_design_scores_gemma":[0.000006883031,0.000031887303,0.000072249866,0.0000030465012,0.000005904799,0.000034952016,0.000020005495,0.9961682,0.0006148877,0.0026736609,0.00036493206,0.00000348827],"about_ca_topic_score_codex":0.0032421306,"about_ca_topic_score_gemma":0.0036186394,"teacher_disagreement_score":0.0032421306,"about_ca_system_score_codex":0.0008352622,"about_ca_system_score_gemma":0.00046656444,"threshold_uncertainty_score":0.0064465404},"labels":[],"label_agreement":null},{"id":"W2900517504","doi":"10.1109/tvt.2018.2881057","title":"Real-Time Energy Management of Battery/Supercapacitor Electric Vehicles Based on an Adaptation of Pontryagin's Minimum Principle","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; European Commission","keywords":"Battery (electricity); Supercapacitor; Context (archaeology); Energy management; Electric vehicle; Automotive engineering; Driving cycle; Engineering; Adaptation (eye); Control engineering; Computer science; Energy (signal processing); Control theory (sociology); Power (physics); Capacitance; Mathematics; Control (management)","score_opus":0.010466879848930044,"score_gpt":0.2438339190746905,"score_spread":0.23336703922576046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900517504","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":[0.0537141,0.00046401506,0.93615407,0.00012970463,0.000046482313,0.00007019845,0.000022832695,0.00027905512,0.009119428],"genre_scores_gemma":[0.95983493,0.00019441058,0.037770152,0.000029641653,0.000015092508,0.00007430281,0.000019780578,0.000027684184,0.002034034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989295,0.0000286225,0.000005850938,0.000018382556,0.000042981475,0.000011106201],"domain_scores_gemma":[0.9999474,0.00002072149,0.000010131995,0.0000061552073,0.000012390053,0.000003206839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002010427,0.00034389616,0.00039652188,0.00016734243,0.0002009277,0.00037298191,0.00060059736,0.00027478562,0.00080590235],"category_scores_gemma":[0.00023882074,0.00012579154,0.00026199417,0.00020531286,0.00027931263,0.0003891352,0.00041099582,0.0003357084,0.00013452374],"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":[0.00018572877,0.00010260204,0.00063584413,0.00021174713,0.00006305083,0.0002660967,0.000141487,0.73493147,0.05985725,0.030060636,0.0018008816,0.17174308],"study_design_scores_gemma":[0.000008115051,0.00007117995,0.00015867794,0.0000032702926,0.0000057599073,0.000047215584,0.00000932232,0.9919676,0.0032488173,0.0032506383,0.001222876,0.000006529594],"about_ca_topic_score_codex":0.0005819563,"about_ca_topic_score_gemma":0.0005949399,"teacher_disagreement_score":0.00080590235,"about_ca_system_score_codex":0.00021219326,"about_ca_system_score_gemma":0.00022365103,"threshold_uncertainty_score":0.0026960373},"labels":[],"label_agreement":null},{"id":"W2900640669","doi":"10.1109/tvt.2018.2866612","title":"On the Performance of NOMA in the Two-User SWIPT System","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Noma; Decoding methods; Computer science; Wireless; Quality of service; Energy consumption; Maximum power transfer theorem; Channel (broadcasting); Energy harvesting; Energy (signal processing); Cognitive radio; Computer network; Power (physics); Telecommunications; Telecommunications link; Engineering; Electrical engineering; Mathematics","score_opus":0.006301058797534291,"score_gpt":0.19363471254771916,"score_spread":0.18733365375018488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900640669","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":[0.3567094,0.009716414,0.58658004,0.0020300273,0.000534257,0.00018206499,0.0004514901,0.00045750273,0.043338817],"genre_scores_gemma":[0.9843428,0.0017457851,0.012158679,0.0001445752,0.00012689804,0.00005705714,0.0000667609,0.000031415366,0.001325946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99732107,0.0011073526,0.00009167934,0.00031902493,0.00054076297,0.000620193],"domain_scores_gemma":[0.9887307,0.007988389,0.00085798214,0.0006600466,0.0015052528,0.00025763115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033010838,0.0020402165,0.0016900533,0.0009786652,0.0015682171,0.001907998,0.0010524943,0.0017782688,0.0020009493],"category_scores_gemma":[0.014600013,0.00056914357,0.00082789257,0.0012651236,0.0020482945,0.0026068725,0.0023150921,0.0015486106,0.0005011098],"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":[0.0009162832,0.00018477516,0.004686574,0.00063273037,0.0002880951,0.0011715133,0.00060336065,0.86054575,0.017890906,0.08120943,0.0016492155,0.030221391],"study_design_scores_gemma":[0.000025394425,0.0002945503,0.0012431066,0.00005158401,0.00008908516,0.00047705843,0.00019083948,0.9822368,0.0031472258,0.011574879,0.00061485934,0.000054561624],"about_ca_topic_score_codex":0.0032216052,"about_ca_topic_score_gemma":0.002589027,"teacher_disagreement_score":0.0033010838,"about_ca_system_score_codex":0.0011953003,"about_ca_system_score_gemma":0.0012373963,"threshold_uncertainty_score":0.017458022},"labels":[],"label_agreement":null},{"id":"W2901276250","doi":"10.1109/tvt.2018.2866496","title":"MoMAC: Mobility-Aware and Collision-Avoidance MAC for Safety Applications in VANETs","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":98,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Time division multiple access; Computer network; Computer science; Wireless ad hoc network; Vehicular ad hoc network; Access control; Transmission (telecommunications); Disjoint sets; Collision; Network topology; Channel access method; Hop (telecommunications); Collision avoidance; Topology (electrical circuits); Wireless; Engineering; Computer security; Telecommunications","score_opus":0.005284118401549133,"score_gpt":0.22144609768635587,"score_spread":0.21616197928480674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901276250","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":[0.026578352,0.002431421,0.9587623,0.0004197557,0.00042275022,0.00024864957,0.00014348485,0.0042554224,0.0067379125],"genre_scores_gemma":[0.7513804,0.0014793832,0.23493046,0.00040268915,0.00022781237,0.00043088963,0.0006406133,0.00020419198,0.010303722],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949515,0.00012963185,0.000028517677,0.000052705756,0.00021631073,0.000077762175],"domain_scores_gemma":[0.9995035,0.00008018668,0.00006747657,0.00006349171,0.00025330673,0.00003207603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000800801,0.00071809854,0.00044713385,0.0008507173,0.0006432655,0.0006852683,0.0013873798,0.00045408972,0.0015377919],"category_scores_gemma":[0.0015161905,0.00018453947,0.00028660015,0.0005763148,0.0003623525,0.00074453896,0.0010632774,0.0006157391,0.00041020144],"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":[0.0005268635,0.00026298407,0.0031588862,0.00065156847,0.00019954715,0.0006103919,0.0003864941,0.31302077,0.06835663,0.09297059,0.030893857,0.48896152],"study_design_scores_gemma":[0.000044790155,0.00023972007,0.0005125377,0.00003688437,0.000039760518,0.0003040173,0.0000898778,0.94385916,0.013805566,0.007851923,0.03318018,0.000035561312],"about_ca_topic_score_codex":0.0020985522,"about_ca_topic_score_gemma":0.001729113,"teacher_disagreement_score":0.0020985522,"about_ca_system_score_codex":0.00046821113,"about_ca_system_score_gemma":0.0011193266,"threshold_uncertainty_score":0.005144477},"labels":[],"label_agreement":null},{"id":"W2901382282","doi":"10.1109/tvt.2018.2881314","title":"Joint Energy Efficient Subchannel and Power Optimization for a Downlink NOMA Heterogeneous Network","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":153,"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, Okanagan Campus; University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Macrocell; Computer science; Heterogeneous network; Telecommunications link; Resource allocation; Efficient energy use; Throughput; Spectral efficiency; Mathematical optimization; Cellular network; Transmitter power output; Optimization problem; Computer network; Distributed computing; Wireless network; Wireless; Channel (broadcasting); Base station; Engineering; Algorithm; Telecommunications; Mathematics","score_opus":0.009085521901067003,"score_gpt":0.20657815924977138,"score_spread":0.19749263734870437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901382282","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":[0.033504877,0.0005330968,0.960867,0.00020474635,0.000035564044,0.00004310528,0.00007087961,0.00010977337,0.0046310225],"genre_scores_gemma":[0.8417069,0.0007426247,0.1525637,0.00016018184,0.00006666212,0.00019075436,0.00014918917,0.000060545946,0.0043595643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995215,0.00018909876,0.00001610543,0.00007652407,0.00010469331,0.00009208636],"domain_scores_gemma":[0.99970764,0.00016356773,0.000039850504,0.000020406938,0.000046475994,0.000022090091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074823364,0.0011936602,0.0010023963,0.00046818412,0.0005539516,0.0011390304,0.00062868634,0.0006144857,0.0012764545],"category_scores_gemma":[0.0010809498,0.0004197811,0.00059588393,0.00092121767,0.0006745112,0.00067331374,0.0008875339,0.0006120851,0.00027195486],"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":[0.00006011246,0.00003749021,0.00033433098,0.000041580035,0.00003175532,0.00009119982,0.000036670328,0.9718159,0.0024315203,0.0066370806,0.00068006397,0.017802332],"study_design_scores_gemma":[0.0000048832276,0.000016824939,0.00006511518,0.0000018543041,0.00000620301,0.000012578616,0.000010693725,0.99802965,0.00029866523,0.001369131,0.00018147001,0.0000028964855],"about_ca_topic_score_codex":0.0046389387,"about_ca_topic_score_gemma":0.0054510892,"teacher_disagreement_score":0.0046389387,"about_ca_system_score_codex":0.00088441634,"about_ca_system_score_gemma":0.0011988304,"threshold_uncertainty_score":0.009223878},"labels":[],"label_agreement":null},{"id":"W2901392065","doi":"10.1109/tvt.2018.2880798","title":"Multi-Resolution Multicasting Using Grassmannian Codes and Space Shift Keying","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Codebook; Channel state information; Transmitter; Computer science; Transmission (telecommunications); Multicast; Algorithm; Detector; Grassmannian; MIMO; Decoding methods; Keying; Electronic engineering; Channel (broadcasting); Telecommunications; Mathematics; Computer network; Engineering; Wireless","score_opus":0.026743185437000484,"score_gpt":0.2684789118952289,"score_spread":0.24173572645822838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901392065","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":[0.041035112,0.00062534166,0.95465565,0.00019109074,0.000054641278,0.000054850378,0.00005239028,0.00021331217,0.0031177371],"genre_scores_gemma":[0.6563498,0.0004930845,0.3406535,0.00015484993,0.00007287131,0.00010023495,0.00010161206,0.000028502904,0.0020455762],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993325,0.00016091955,0.000024963707,0.000063308784,0.00031132685,0.00010698065],"domain_scores_gemma":[0.99922836,0.00027132116,0.00011691645,0.0001788575,0.00016250178,0.000042013166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062701834,0.0005320903,0.00046418543,0.0006313731,0.0004444225,0.00053368445,0.0007600377,0.00057229097,0.00079173746],"category_scores_gemma":[0.0016964152,0.00017589881,0.00037981285,0.00066246,0.0005839212,0.001248635,0.0012309444,0.0006604748,0.0002797369],"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":[0.00039155706,0.00012591474,0.0012712828,0.0002619826,0.000081257596,0.0005014428,0.00036143686,0.29439297,0.12223619,0.2655251,0.0025031422,0.31234765],"study_design_scores_gemma":[0.000030938183,0.00013799046,0.00029118982,0.000018988578,0.000016678918,0.00026827332,0.000033386623,0.94343597,0.02192547,0.03074617,0.0030536144,0.000041461655],"about_ca_topic_score_codex":0.0012729968,"about_ca_topic_score_gemma":0.0014696562,"teacher_disagreement_score":0.0012729968,"about_ca_system_score_codex":0.0007118162,"about_ca_system_score_gemma":0.0006918085,"threshold_uncertainty_score":0.0051645637},"labels":[],"label_agreement":null},{"id":"W2901740914","doi":"10.1109/tvt.2018.2882382","title":"A Reconfigurable Integrated Control for Narrow Tilting Vehicles","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":31,"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 Waterloo","funders":"","keywords":"CarSim; Actuator; Engineering; Robustness (evolution); Electronic stability control; Rollover (web design); Control theory (sociology); Vehicle dynamics; Control engineering; Active steering; Control system; Controller (irrigation); Energy consumption; Optimal control; Motion control; Control reconfiguration; Control (management); Automotive engineering; Computer science; Embedded system; Robot","score_opus":0.006261300510266799,"score_gpt":0.2007184692834823,"score_spread":0.1944571687732155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901740914","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":[0.12871061,0.00054044864,0.85181856,0.00010211843,0.00013222871,0.000053290692,0.000045537974,0.001045253,0.017552022],"genre_scores_gemma":[0.9775144,0.000099672834,0.01952145,0.00003543605,0.000019925177,0.000025214196,0.000030497426,0.000013008723,0.0027404907],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998765,0.000009048472,0.00000392217,0.000032762477,0.000052428128,0.000025340645],"domain_scores_gemma":[0.9999616,0.0000036505035,0.000009141672,0.000006660502,0.000012616266,0.00000626264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066447436,0.00031298172,0.00018780172,0.0001755051,0.0001703509,0.00035436134,0.00042748536,0.00018415066,0.000903681],"category_scores_gemma":[0.000085542946,0.00010123867,0.00021132125,0.000091684655,0.00018172835,0.0001783218,0.00030601135,0.00024270214,0.00018206499],"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":[0.00041725053,0.00010455435,0.00095831393,0.00011939161,0.000058906237,0.0004193852,0.00010542926,0.3398783,0.38767812,0.0151852975,0.0014663356,0.25360873],"study_design_scores_gemma":[0.000043519365,0.0005776043,0.0016446686,0.000013714456,0.000037612444,0.00015449598,0.000026329208,0.9397317,0.046967458,0.0020224245,0.008750929,0.000029573235],"about_ca_topic_score_codex":0.001659255,"about_ca_topic_score_gemma":0.0016352969,"teacher_disagreement_score":0.001659255,"about_ca_system_score_codex":0.00021130894,"about_ca_system_score_gemma":0.00021235275,"threshold_uncertainty_score":0.0032992363},"labels":[],"label_agreement":null},{"id":"W2904036678","doi":"10.1109/tvt.2018.2886010","title":"Optimizing Content Dissemination for Real-Time Traffic Management in Large-Scale Internet of Vehicle Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":91,"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":"National Key Research and Development Program of China; Tianjin University; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"The Internet; Scale (ratio); Computer science; Computer network; Internet traffic; Multimedia; World Wide Web","score_opus":0.013394090656294164,"score_gpt":0.239966894607757,"score_spread":0.22657280395146284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904036678","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":[0.17768107,0.00081071147,0.81744,0.00048467124,0.000061032664,0.0001357621,0.0000840552,0.0005874553,0.0027152444],"genre_scores_gemma":[0.9798346,0.00018762177,0.019170154,0.00003373916,0.000017420232,0.000036094938,0.000040875464,0.00003763179,0.00064199447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995165,0.00017779907,0.000020815452,0.00009257407,0.000092010756,0.00010030493],"domain_scores_gemma":[0.99883527,0.0006738132,0.000142589,0.00007967966,0.00019525473,0.00007330906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008305447,0.00073789957,0.0009833659,0.00062156963,0.00059728127,0.0010617089,0.0011484354,0.00085826864,0.0005372428],"category_scores_gemma":[0.002917145,0.000312009,0.0003096233,0.0008886551,0.00048988796,0.0013104166,0.0007352392,0.00039205595,0.00010982954],"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":[0.00006443135,0.00005811834,0.0005930316,0.0000655438,0.000024329296,0.00006421982,0.000051671857,0.97203773,0.0069935196,0.003724325,0.0006516346,0.015671397],"study_design_scores_gemma":[0.0000038928742,0.000017579096,0.000079062826,8.832174e-7,0.000005619908,0.000006183019,0.000017066037,0.9981602,0.00062921795,0.00092207233,0.00015550565,0.000002680258],"about_ca_topic_score_codex":0.0071870345,"about_ca_topic_score_gemma":0.0049549867,"teacher_disagreement_score":0.0071870345,"about_ca_system_score_codex":0.0017206242,"about_ca_system_score_gemma":0.0010812748,"threshold_uncertainty_score":0.014290392},"labels":[],"label_agreement":null},{"id":"W2905052402","doi":"10.1109/tvt.2018.2885403","title":"Improved Recruitment Algorithms for Vehicular Crowdsensing Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":35,"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; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crowdsensing; Heuristics; Computer science; Algorithm; Approximation algorithm; Integer (computer science)","score_opus":0.030460134077531908,"score_gpt":0.2745661948863181,"score_spread":0.24410606080878622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905052402","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":[0.007498028,0.00056255487,0.9855682,0.0005930119,0.00016575906,0.00021870015,0.0000832538,0.00058488525,0.004725557],"genre_scores_gemma":[0.28823808,0.0010136727,0.69414276,0.0009484109,0.00031762742,0.001252965,0.00058858976,0.00036495744,0.013132958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99684936,0.0013368842,0.0001760751,0.00057357486,0.0006538628,0.00041029367],"domain_scores_gemma":[0.99478006,0.003234642,0.00043362935,0.00039308527,0.00079260673,0.00036597773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045454446,0.001996383,0.0022292114,0.0014942368,0.0017736861,0.0022551464,0.004544412,0.002971534,0.0059527704],"category_scores_gemma":[0.012890707,0.0009916357,0.0014400232,0.0020015293,0.0013273453,0.003011052,0.003751122,0.0024551537,0.0018804498],"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":[0.00021979568,0.0002365758,0.00069494714,0.00021485671,0.000040983683,0.00013526002,0.00027012677,0.82847464,0.002386796,0.046861652,0.008600463,0.111863956],"study_design_scores_gemma":[0.00003959929,0.000053847587,0.00007718373,0.000019389736,0.000008788667,0.00003973309,0.000044950597,0.9787396,0.0005166362,0.017270137,0.0031764412,0.00001379076],"about_ca_topic_score_codex":0.0038849192,"about_ca_topic_score_gemma":0.004386302,"teacher_disagreement_score":0.0059527704,"about_ca_system_score_codex":0.0024619834,"about_ca_system_score_gemma":0.0036250302,"threshold_uncertainty_score":0.02403891},"labels":[],"label_agreement":null},{"id":"W2906042702","doi":"10.1109/tvt.2018.2888854","title":"A Privacy-Preserving and Verifiable Querying Scheme in Vehicular Fog Data Dissemination","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":45,"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 New Brunswick","funders":"Science and Technology Department of Zhejiang Province; Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Research Foundation Singapore; New Brunswick Innovation Foundation","keywords":"Computer science; Paillier cryptosystem; Dissemination; Computer network; Homomorphic encryption; Correctness; Vehicular ad hoc network; Scheme (mathematics); Unavailability; Cryptosystem; Security analysis; Encryption; Computer security; Wireless; Wireless ad hoc network; Algorithm","score_opus":0.013600509910895292,"score_gpt":0.2504390070049739,"score_spread":0.23683849709407861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906042702","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":[0.07581554,0.000811139,0.9170551,0.0005320569,0.00013713476,0.00030841556,0.0002346492,0.0008745489,0.004231449],"genre_scores_gemma":[0.948958,0.00032020637,0.047969118,0.00017462861,0.00007488697,0.00011053158,0.00019011028,0.000021078993,0.0021814478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978606,0.00035658735,0.00015517755,0.0004265727,0.0007722779,0.00042873833],"domain_scores_gemma":[0.9979728,0.00048088265,0.00031251475,0.00075111806,0.00035210102,0.00013055847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012999505,0.00055495073,0.0010606135,0.0006977684,0.0013416562,0.0012385077,0.0017481145,0.001225135,0.0010656365],"category_scores_gemma":[0.0034127387,0.00031838968,0.0007933064,0.0011629387,0.0011805687,0.0037326724,0.0034948974,0.0012649412,0.00030618618],"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":[0.0021039522,0.00036870898,0.0039766855,0.0005866889,0.0002791596,0.0024970889,0.0020386837,0.20127863,0.15734708,0.34065884,0.010082895,0.2787816],"study_design_scores_gemma":[0.00024977638,0.00052027736,0.0011591838,0.00004329713,0.00014416447,0.0015572088,0.00030876373,0.88219166,0.046525948,0.054124698,0.012972107,0.0002028486],"about_ca_topic_score_codex":0.0023968632,"about_ca_topic_score_gemma":0.0013823623,"teacher_disagreement_score":0.0023968632,"about_ca_system_score_codex":0.001065459,"about_ca_system_score_gemma":0.001877806,"threshold_uncertainty_score":0.007730484},"labels":[],"label_agreement":null},{"id":"W2906153113","doi":"10.1109/tvt.2018.2888826","title":"Sensing, Probing, and Transmitting Policy for Energy Harvesting Cognitive Radio With Two-Stage After-State Reinforcement Learning","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":16,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Cognitive radio; Fading; Transmitter; Markov decision process; Channel (broadcasting); Transmission (telecommunications); Computer science; Q-learning; Throughput; Power control; Bellman equation; Energy (signal processing); Markov process; Energy harvesting; Optimization problem; Electronic engineering; Transmitter power output; Channel state information; Wireless; Telecommunications; Power (physics); Mathematical optimization; Engineering; Algorithm; Artificial intelligence; Mathematics; Statistics","score_opus":0.007688865532782587,"score_gpt":0.23143732272701434,"score_spread":0.22374845719423175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906153113","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":[0.09361808,0.0003838397,0.9029695,0.000403131,0.000045329733,0.000105697756,0.000032760945,0.00029898455,0.002142795],"genre_scores_gemma":[0.98045266,0.00007510346,0.018318359,0.00008810874,0.000017105567,0.000088670226,0.000021005602,0.000015266096,0.00092374254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991062,0.00032285787,0.000040479405,0.00017661197,0.00016234297,0.00019146949],"domain_scores_gemma":[0.99675876,0.0022846807,0.00036749814,0.00012280562,0.00029503537,0.0001711683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025315678,0.0010541676,0.0015891744,0.00037209672,0.00043116498,0.00084586616,0.0013491907,0.0012479264,0.0012342276],"category_scores_gemma":[0.0052915444,0.00052100274,0.000485522,0.00035616348,0.0013681868,0.0009800382,0.00091655646,0.0015681776,0.00016006996],"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":[0.00013475119,0.00012222357,0.0010573278,0.000042207004,0.00003247497,0.00008234921,0.00006719909,0.97892433,0.0009205662,0.00506065,0.00023965296,0.013316314],"study_design_scores_gemma":[0.000010791361,0.000026573278,0.000060707865,0.0000017565447,0.000004015153,0.000005064252,0.000003042781,0.99880207,0.00010751797,0.0009493881,0.000026213318,0.0000028622853],"about_ca_topic_score_codex":0.0069899773,"about_ca_topic_score_gemma":0.0045974823,"teacher_disagreement_score":0.0069899773,"about_ca_system_score_codex":0.0012589109,"about_ca_system_score_gemma":0.0017948818,"threshold_uncertainty_score":0.013898611},"labels":[],"label_agreement":null},{"id":"W2906390277","doi":"10.1109/tvt.2018.2889694","title":"An Improved Coalition Game Approach for MIMO-NOMA Clustering Integrating Beamforming and Power Allocation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":64,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Noma; Beamforming; Cluster analysis; Computer science; 3G MIMO; Spectral efficiency; Electronic engineering; Engineering; Telecommunications link; Telecommunications; Artificial intelligence","score_opus":0.010710398777028021,"score_gpt":0.24521555191663408,"score_spread":0.23450515313960607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906390277","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":[0.0060488596,0.00010617566,0.98854184,0.00015080793,0.000044568667,0.00006562111,0.000043043096,0.00006458096,0.004934499],"genre_scores_gemma":[0.6787482,0.0004944859,0.30926487,0.00033175707,0.00010456831,0.0004421222,0.00016542136,0.00009499005,0.01035362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989342,0.0004479107,0.00003754375,0.00017416684,0.00027143123,0.00013478081],"domain_scores_gemma":[0.99938285,0.00026225226,0.00006357135,0.000046384746,0.00016572772,0.00007913334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010863753,0.0014044631,0.0011476508,0.00069938053,0.00090410555,0.00103657,0.0019655984,0.0011175552,0.0026069318],"category_scores_gemma":[0.0018964028,0.0004161742,0.00093369896,0.0010505044,0.00078005035,0.0014904275,0.0017569246,0.0013658988,0.00043641406],"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":[0.00005961434,0.000059884314,0.00033204784,0.00005998629,0.00006313413,0.00014861482,0.000105437175,0.8979096,0.003016513,0.07573139,0.0021520797,0.020361718],"study_design_scores_gemma":[0.000008811907,0.000026207907,0.000046466426,0.000003052842,0.000008836261,0.0000322202,0.000016026668,0.991198,0.00026981192,0.0076535344,0.00072834495,0.000008596934],"about_ca_topic_score_codex":0.0062159086,"about_ca_topic_score_gemma":0.0077795903,"teacher_disagreement_score":0.0062159086,"about_ca_system_score_codex":0.0013522969,"about_ca_system_score_gemma":0.0018379907,"threshold_uncertainty_score":0.01235944},"labels":[],"label_agreement":null},{"id":"W2906540740","doi":"10.1109/tvt.2018.2889336","title":"A Game-Theoretic Learning Approach for Anti-Jamming Dynamic Spectrum Access in Dense Wireless Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":81,"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":"National Natural Science Foundation of China","keywords":"Jamming; Computer science; Nash equilibrium; Interference (communication); Potential game; Wireless; Channel (broadcasting); Game theory; Strategy; Wireless network; Computer network; Mathematical optimization; Telecommunications; Mathematics","score_opus":0.015624421041738204,"score_gpt":0.28876571501161097,"score_spread":0.27314129396987274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906540740","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":[0.006376578,0.00018695959,0.9909127,0.00018546486,0.000024606366,0.000039597675,0.000013787028,0.00003153463,0.0022287485],"genre_scores_gemma":[0.8380612,0.0008317276,0.15523572,0.0003048964,0.00016075549,0.0003453952,0.000056450506,0.00003102163,0.0049729017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991334,0.00040357123,0.000029493283,0.00014588913,0.00019370014,0.000093911985],"domain_scores_gemma":[0.9983907,0.001149814,0.00014148747,0.000054409767,0.00018369517,0.000079936086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013818127,0.0010296818,0.0011525721,0.00066793297,0.0006058074,0.0011163896,0.0017284573,0.0012238123,0.0015381866],"category_scores_gemma":[0.00312824,0.00045540708,0.0006148835,0.0008331347,0.001618888,0.0016610245,0.0014378197,0.0016598864,0.00019919794],"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":[0.000020359568,0.000052552576,0.00032632364,0.00006387306,0.00003848901,0.00007371388,0.00007226579,0.9254616,0.000638562,0.058835283,0.0005335772,0.013883345],"study_design_scores_gemma":[0.0000050286494,0.000017512653,0.000033486926,0.0000031534757,0.000003889762,0.000012885489,0.000011131041,0.98698795,0.000057883513,0.012641066,0.0002220729,0.0000040295467],"about_ca_topic_score_codex":0.0041357153,"about_ca_topic_score_gemma":0.003579321,"teacher_disagreement_score":0.0041357153,"about_ca_system_score_codex":0.0013001536,"about_ca_system_score_gemma":0.0014178737,"threshold_uncertainty_score":0.009433329},"labels":[],"label_agreement":null},{"id":"W2907697336","doi":"10.1109/tvt.2018.2872966","title":"Cache-Aware Multicast Beamforming Design for Multicell Multigroup Multicast","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":19,"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":"University of British Columbia","keywords":"Multicast; Computer science; Protocol Independent Multicast; Xcast; Computer network; Source-specific multicast; Distributed computing; Cache; Pragmatic General Multicast; Beamforming; Distance Vector Multicast Routing Protocol; IP multicast; Telecommunications","score_opus":0.029633580865692875,"score_gpt":0.25793639152249936,"score_spread":0.2283028106568065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907697336","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":[0.008092399,0.00017411882,0.9892924,0.0000919867,0.000020026826,0.00002104068,0.000024820603,0.00006432813,0.0022189766],"genre_scores_gemma":[0.7246428,0.0007281647,0.27096933,0.00015268146,0.00006951178,0.00024202716,0.000121363024,0.000045039895,0.0030290743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997451,0.00007476405,0.000011253621,0.000035533398,0.00010405144,0.000029428375],"domain_scores_gemma":[0.999777,0.00006654807,0.00003984692,0.000013511269,0.00009074987,0.000012436177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032840765,0.0007213163,0.00044648536,0.0002990929,0.00030919115,0.00043438343,0.00058900076,0.00066988525,0.0013680306],"category_scores_gemma":[0.0007079013,0.0002277163,0.00029910062,0.00043982678,0.0002651145,0.00060159474,0.0004423633,0.0004188929,0.0003907372],"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":[0.00016762372,0.00007078862,0.0009577641,0.00020895353,0.000058363505,0.00019832911,0.00014957738,0.7410871,0.101829596,0.0307127,0.0028134391,0.12174582],"study_design_scores_gemma":[0.0000096088015,0.00006773211,0.000102077065,0.00000892581,0.000009862292,0.00004162111,0.000022011887,0.9924211,0.0041841217,0.0021321434,0.0009900912,0.000010721785],"about_ca_topic_score_codex":0.0012523851,"about_ca_topic_score_gemma":0.0018586162,"teacher_disagreement_score":0.0013680306,"about_ca_system_score_codex":0.0004942152,"about_ca_system_score_gemma":0.00045368512,"threshold_uncertainty_score":0.0045764446},"labels":[],"label_agreement":null},{"id":"W2908426266","doi":"10.1109/tvt.2018.2872881","title":"User Selection and Multiuser Widely Linear Precoding for One-Dimensional Signalling","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Selection (genetic algorithm); Computer science; Zero-forcing precoding; Signalling; Computer network; Artificial intelligence; MIMO; Cell biology; Biology; Channel (broadcasting)","score_opus":0.013204540680158921,"score_gpt":0.23523581237331617,"score_spread":0.22203127169315726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908426266","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":[0.013216562,0.00029784447,0.9846555,0.00012772912,0.000023875313,0.00001755191,0.000014331562,0.00006781799,0.0015788574],"genre_scores_gemma":[0.76038414,0.00090616365,0.2341482,0.00020440112,0.00011838992,0.00013370505,0.00006138639,0.000023652887,0.0040198774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990754,0.00047952455,0.000029051962,0.000120514,0.00021739634,0.000078137324],"domain_scores_gemma":[0.99881303,0.0007762015,0.00011022624,0.00012762651,0.00014151075,0.000031504183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006570181,0.0005428926,0.00047307153,0.0002529713,0.00026340928,0.00065981364,0.0005129446,0.0005317643,0.0010674329],"category_scores_gemma":[0.0026396585,0.00024784484,0.00031732238,0.000604351,0.0008558929,0.0007520689,0.00075288594,0.00065733754,0.00039689514],"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":[0.0003607766,0.000079386075,0.0010123588,0.00019429512,0.00009673366,0.0004526879,0.00048765057,0.54522353,0.05691527,0.2010416,0.002012193,0.19212344],"study_design_scores_gemma":[0.000013013525,0.00009167863,0.00013211988,0.000013205984,0.000010596946,0.00013919218,0.00002347923,0.9763209,0.0048772274,0.01717192,0.0011898645,0.000016661355],"about_ca_topic_score_codex":0.00053980807,"about_ca_topic_score_gemma":0.0007847408,"teacher_disagreement_score":0.0010674329,"about_ca_system_score_codex":0.00037992743,"about_ca_system_score_gemma":0.00042663893,"threshold_uncertainty_score":0.0035709143},"labels":[],"label_agreement":null},{"id":"W2910077115","doi":"10.1109/tvt.2019.2891617","title":"Impulsive Noise Recovery and Elimination: A Sparse Machine Learning Based Approach","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Wireless; Orthogonal frequency-division multiplexing; Entropy (arrow of time); Probabilistic logic; Algorithm; Artificial intelligence; Machine learning; Channel (broadcasting); Telecommunications","score_opus":0.006393629202274103,"score_gpt":0.19347018343635858,"score_spread":0.18707655423408448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910077115","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":[0.003715772,0.00009931884,0.99554896,0.00007831908,0.000012778034,0.000011213721,0.000008591858,0.00008679588,0.0004382199],"genre_scores_gemma":[0.484205,0.00068039895,0.5101806,0.00029186837,0.00020969678,0.00015675688,0.0002172965,0.00008390839,0.003974423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996495,0.00011184357,0.000020462638,0.0000519012,0.0001292609,0.000036917707],"domain_scores_gemma":[0.999297,0.00037631206,0.00008858955,0.000064948625,0.00014599136,0.000027003913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007637612,0.0005263908,0.0008119306,0.0005695058,0.0002945682,0.0005520504,0.0009813653,0.0007356714,0.0008086817],"category_scores_gemma":[0.0019765226,0.00026772852,0.0004681812,0.00069923856,0.00052755355,0.0007968051,0.0008137701,0.0010787556,0.00028898366],"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":[0.0001293717,0.00013518828,0.00092386355,0.00014922052,0.00008614694,0.00011723449,0.00011205044,0.6736078,0.010883584,0.026296023,0.0024749716,0.28508458],"study_design_scores_gemma":[0.0000030215222,0.000015153382,0.000049296406,0.0000028073796,0.0000038582366,0.00001695652,0.0000035320356,0.99729663,0.00080807746,0.0015591178,0.00023845768,0.0000031758823],"about_ca_topic_score_codex":0.0013360764,"about_ca_topic_score_gemma":0.0011053118,"teacher_disagreement_score":0.0013360764,"about_ca_system_score_codex":0.00030890858,"about_ca_system_score_gemma":0.0006658686,"threshold_uncertainty_score":0.0040391684},"labels":[],"label_agreement":null},{"id":"W2910090048","doi":"10.1109/tvt.2019.2893072","title":"Nonlinear Hybrid Precoding for Coordinated Multi-Cell Massive MIMO Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Baseband; MIMO; Zero-forcing precoding; Computer science; Channel state information; Minimum mean square error; Kalman filter; Control theory (sociology); Spatial correlation; Algorithm; Multi-user MIMO; Channel (broadcasting); Mathematics; Telecommunications; Wireless; Bandwidth (computing); Artificial intelligence; Statistics; Estimator","score_opus":0.008386314877156426,"score_gpt":0.21558003074810117,"score_spread":0.20719371587094473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910090048","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":[0.04577386,0.00037901493,0.949639,0.00014030134,0.000047298698,0.000019979721,0.00004431596,0.00012241842,0.0038338483],"genre_scores_gemma":[0.9512007,0.0002693926,0.046043817,0.00007232295,0.00003720673,0.000036726924,0.000038646544,0.000012210982,0.002288956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997904,0.00007586805,0.0000070453693,0.000037572132,0.000064003296,0.000025211146],"domain_scores_gemma":[0.9996735,0.00016374476,0.000049144466,0.000037938396,0.00006352577,0.000012230084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034700325,0.00036277817,0.00038128594,0.000117048745,0.00017845786,0.00058656855,0.0003426833,0.00035349355,0.00070196466],"category_scores_gemma":[0.0009730922,0.00015436661,0.00020522457,0.000297466,0.00043830372,0.0005421917,0.0005280582,0.0003727553,0.00017550444],"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":[0.000056748133,0.000017149032,0.00042939445,0.000049998638,0.00003287749,0.00009907221,0.000059309492,0.95309275,0.0059424737,0.013596432,0.00046086655,0.02616293],"study_design_scores_gemma":[0.0000033627452,0.000032824475,0.00008358203,0.0000023744046,0.0000036842546,0.000017954346,0.000009708458,0.9970251,0.00071130996,0.0018513206,0.00025556984,0.0000032561902],"about_ca_topic_score_codex":0.0021327203,"about_ca_topic_score_gemma":0.0020818799,"teacher_disagreement_score":0.0021327203,"about_ca_system_score_codex":0.00031731633,"about_ca_system_score_gemma":0.00033624732,"threshold_uncertainty_score":0.0042405725},"labels":[],"label_agreement":null},{"id":"W2910543394","doi":"10.1109/tvt.2019.2891062","title":"Energy-Efficient Power Allocation in Uplink mmWave Massive MIMO With NOMA","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Noma; Telecommunications link; MIMO; Base station; Maximization; Beamforming; Quality of service; Power (physics); Channel (broadcasting)","score_opus":0.004721026511177457,"score_gpt":0.19483811583232538,"score_spread":0.19011708932114793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910543394","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":[0.040021725,0.0009954122,0.9538077,0.0001830756,0.00006530782,0.000026142578,0.000048295882,0.00008498514,0.004767344],"genre_scores_gemma":[0.9387389,0.0005756321,0.05793809,0.00012504161,0.000085375854,0.00006136972,0.000033112956,0.000019999296,0.0024225586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935514,0.0002987591,0.000020765503,0.00007974333,0.00014281663,0.000102742146],"domain_scores_gemma":[0.99949884,0.0002954463,0.000068702466,0.000047554055,0.00006853402,0.000020846275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006032909,0.00068495487,0.0007576849,0.0003013653,0.00051258126,0.00082092854,0.0006027145,0.0005455038,0.0007618665],"category_scores_gemma":[0.0011539832,0.000360013,0.00031935793,0.0007013374,0.00061628217,0.0008554148,0.0007838249,0.00043720414,0.00025347373],"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":[0.0002210094,0.00006876064,0.00094903563,0.00016495415,0.00008971524,0.00037277397,0.0001258762,0.88320225,0.01702405,0.035296295,0.0014838817,0.061001446],"study_design_scores_gemma":[0.000012194273,0.000069881884,0.00023059714,0.0000072342996,0.00001117787,0.000082160645,0.00003491062,0.9894678,0.001723349,0.007557504,0.0007928426,0.000010371711],"about_ca_topic_score_codex":0.0008592125,"about_ca_topic_score_gemma":0.0015813382,"teacher_disagreement_score":0.0008592125,"about_ca_system_score_codex":0.00044386386,"about_ca_system_score_gemma":0.00039290925,"threshold_uncertainty_score":0.003220439},"labels":[],"label_agreement":null},{"id":"W2911553799","doi":"10.1109/tvt.2019.2894720","title":"Toward Privacy-Preserving Valet Parking in Autonomous Driving Era","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Computer security; Authentication (law); Password; Mutual authentication; Computer science; Protocol (science); Traceability; Anonymity; Engineering","score_opus":0.007979986102672386,"score_gpt":0.20342152606077102,"score_spread":0.19544153995809863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911553799","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":[0.07053917,0.00031861884,0.92137295,0.000554461,0.00011388496,0.0002661825,0.00010520923,0.0011033274,0.0056261243],"genre_scores_gemma":[0.91997015,0.00020353551,0.07573761,0.00019224135,0.000049290273,0.00015073807,0.00015419282,0.000041008065,0.003501249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977163,0.0006993459,0.00017580036,0.00038234825,0.000677872,0.00034842317],"domain_scores_gemma":[0.99643075,0.00074789335,0.00038326404,0.0014353945,0.0008157156,0.0001869177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019134725,0.0004983173,0.0005906392,0.00081269874,0.0012854554,0.0016818743,0.0015943736,0.0012111317,0.0011428065],"category_scores_gemma":[0.0041766614,0.00037765934,0.0006097735,0.0008592276,0.0016545746,0.004134015,0.004602242,0.0015598135,0.00060619705],"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":[0.0012701241,0.00034782256,0.0052113044,0.000565668,0.0001808675,0.0017232642,0.0019967381,0.1346555,0.0894861,0.5028448,0.0078085745,0.25390923],"study_design_scores_gemma":[0.00009446456,0.0005570803,0.0008672843,0.000056832374,0.000079629644,0.0015022346,0.0006540627,0.76148695,0.058596242,0.15198408,0.023997528,0.00012366152],"about_ca_topic_score_codex":0.000874421,"about_ca_topic_score_gemma":0.00064989575,"teacher_disagreement_score":0.0019134725,"about_ca_system_score_codex":0.00056093046,"about_ca_system_score_gemma":0.001763656,"threshold_uncertainty_score":0.010119557},"labels":[],"label_agreement":null},{"id":"W2911688936","doi":"10.1109/tvt.2019.2897899","title":"Automotive Traction Inverters: Current Status and Future Trends","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":346,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Powertrain; Automotive industry; Traction (geology); Inverter; Automotive engineering; Engineering; Automotive electronics; Power electronics; Reliability (semiconductor); Electronics; Electrical engineering; Power (physics); Voltage; Mechanical engineering; Torque","score_opus":0.006266338590346897,"score_gpt":0.20958014965752528,"score_spread":0.20331381106717838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911688936","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004438123,0.9786728,0.004624999,0.001781947,0.00037601247,0.000016163698,0.000091317976,0.000116391384,0.00988225],"genre_scores_gemma":[0.029882304,0.95564467,0.0069079758,0.0010036199,0.0006705143,0.000024429628,0.00028839393,0.000036800186,0.005541321],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996718,0.000031727213,0.000039897364,0.00006370129,0.00016515092,0.000027733602],"domain_scores_gemma":[0.9985246,0.0005379015,0.00013643967,0.00002839077,0.00070922665,0.00006346765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009855616,0.00039362867,0.00044952836,0.001475714,0.00022275848,0.0015326651,0.0007771201,0.0010260732,0.0038817506],"category_scores_gemma":[0.0011123297,0.00030147683,0.00029838685,0.001755311,0.00034235464,0.0026215182,0.00049132295,0.0010281227,0.0015738799],"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":[0.000117188654,0.00007796202,0.000996897,0.005272378,0.000029393825,0.00007483148,0.00009748302,0.0012405489,0.0057982784,0.0068091443,0.010075117,0.96941066],"study_design_scores_gemma":[0.00001613899,0.00060117233,0.0022852737,0.002971987,0.0001365885,0.0009370439,0.0003630974,0.002622153,0.006339885,0.006647898,0.9770213,0.000057480214],"about_ca_topic_score_codex":0.00059802807,"about_ca_topic_score_gemma":0.00096896966,"teacher_disagreement_score":0.0038817506,"about_ca_system_score_codex":0.00063428294,"about_ca_system_score_gemma":0.00083140103,"threshold_uncertainty_score":0.012985766},"labels":[],"label_agreement":null},{"id":"W2912061344","doi":"10.1109/tvt.2019.2895551","title":"Delay Analysis of Spatially Coded MIMO-ZFBF With Retransmissions in Random Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Retransmission; MIMO; Beamforming; Algorithm; Fading; Non-line-of-sight propagation; Computer science; Coverage probability; Telecommunications link; Topology (electrical circuits); Mathematics; Computer network; Network packet; Statistics; Telecommunications; Decoding methods; Wireless","score_opus":0.00364013588273121,"score_gpt":0.19511158221563807,"score_spread":0.19147144633290686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912061344","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":[0.37227058,0.0015025357,0.6141997,0.00068756856,0.00008235721,0.00008332499,0.00026013682,0.00037461947,0.010539164],"genre_scores_gemma":[0.988694,0.00034655136,0.00873788,0.00005257743,0.000019675495,0.000039157316,0.000046848367,0.000035028163,0.0020282823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995696,0.00013525398,0.000012614965,0.000056845653,0.000108345994,0.000117378644],"domain_scores_gemma":[0.99633336,0.0023798323,0.00059444853,0.00009153083,0.00048081457,0.00012004864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013179749,0.0006294286,0.00043791783,0.00075662456,0.00045348261,0.00068667973,0.0009846748,0.00070443854,0.0013794117],"category_scores_gemma":[0.005212559,0.000356026,0.00035078003,0.0006203738,0.0010332385,0.0010264276,0.000557816,0.00047452305,0.00016642823],"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":[0.00004916807,0.000008833553,0.0005564636,0.00003229793,0.000010217494,0.000095949734,0.000054357442,0.9719473,0.0021973497,0.02311841,0.00025204403,0.0016775957],"study_design_scores_gemma":[0.000002389467,0.000011302345,0.000104377345,0.0000024753576,0.0000030775636,0.00001717048,0.000011494628,0.9982999,0.00022334393,0.0012572932,0.00006236164,0.0000049336136],"about_ca_topic_score_codex":0.007165902,"about_ca_topic_score_gemma":0.004114956,"teacher_disagreement_score":0.007165902,"about_ca_system_score_codex":0.002664813,"about_ca_system_score_gemma":0.00088254036,"threshold_uncertainty_score":0.019334733},"labels":[],"label_agreement":null},{"id":"W2913038240","doi":"10.1109/tvt.2019.2956921","title":"Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms","year":2019,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Upload; Scheduling (production processes); Heuristic; Time complexity; Mathematical optimization; Resource allocation; Computational complexity theory; Algorithm; Channel (broadcasting); Cellular network; Distributed computing; Computer network; Mathematics","score_opus":0.014014595951087228,"score_gpt":0.2205060423876169,"score_spread":0.20649144643652967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913038240","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0336421,0.0027866599,0.95318323,0.0016719848,0.0000949831,0.00013969882,0.00019954525,0.0002428983,0.00803894],"genre_scores_gemma":[0.737388,0.003989286,0.25051126,0.0004060955,0.00037245735,0.00049530604,0.00038571568,0.00013624282,0.0063156215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985312,0.00064467767,0.00005003673,0.00019561329,0.00036124326,0.00021719052],"domain_scores_gemma":[0.99201196,0.0068566287,0.00044208078,0.00027460995,0.00029133388,0.00012336558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023600007,0.0010651458,0.0015856677,0.0008976754,0.0008132748,0.002810975,0.0013375724,0.0014209361,0.0018464423],"category_scores_gemma":[0.008933208,0.00071617874,0.0006525982,0.0020949375,0.0014661059,0.002553368,0.0017974294,0.0016660191,0.00026869154],"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":[0.00007549068,0.000058107693,0.0005134989,0.00010972061,0.000031592874,0.000048205507,0.000054721182,0.9295136,0.0004356523,0.03834329,0.0016468352,0.029169438],"study_design_scores_gemma":[0.000012578858,0.000009329352,0.000085709835,0.0000074274385,0.000004998831,0.000018166025,0.00002088579,0.966456,0.00011421381,0.032785736,0.00048067723,0.000004329987],"about_ca_topic_score_codex":0.0070322766,"about_ca_topic_score_gemma":0.0059038973,"teacher_disagreement_score":0.0070322766,"about_ca_system_score_codex":0.0029884228,"about_ca_system_score_gemma":0.0018352056,"threshold_uncertainty_score":0.02168268},"labels":[],"label_agreement":null},{"id":"W2913729121","doi":"10.1109/tvt.2019.2896906","title":"Beef Up mmWave Dense Cellular Networks With D2D-Assisted Cooperative Edge Caching","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":73,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backhaul (telecommunications); Computer network; Computer science; Cache; Cellular network; Base station; Stochastic geometry; Network topology; Exploit; Enhanced Data Rates for GSM Evolution; Distributed computing; Telecommunications","score_opus":0.009036383164494809,"score_gpt":0.2002074451952589,"score_spread":0.1911710620307641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913729121","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":[0.24495117,0.0018401061,0.74182355,0.0005683168,0.00014099087,0.00008460868,0.00018941768,0.00059959816,0.009802273],"genre_scores_gemma":[0.979878,0.00040923222,0.018604625,0.00012780126,0.000022719169,0.000024822537,0.0000560538,0.000008653607,0.0008681646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975866,0.000040213934,0.0000091950005,0.000040546733,0.00007087003,0.000080465645],"domain_scores_gemma":[0.9994849,0.00019950356,0.00006743466,0.00008394965,0.000124409,0.00003974144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025478308,0.00057987584,0.0005103299,0.00041003348,0.00073766365,0.00083485077,0.00077525503,0.00059837755,0.00069449574],"category_scores_gemma":[0.0012282857,0.00022286832,0.00029290974,0.0008550867,0.0003479039,0.0011543091,0.001096423,0.00037616421,0.00021214271],"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":[0.00030696756,0.00011868765,0.008898476,0.00020929675,0.00010206897,0.0015427624,0.0003214548,0.7459178,0.03724097,0.024355896,0.0050670956,0.17591852],"study_design_scores_gemma":[0.000012143225,0.000062778265,0.0006195186,0.000009084592,0.000026767952,0.00017025352,0.0001055458,0.98988146,0.002479675,0.0049795057,0.0016406542,0.000012685059],"about_ca_topic_score_codex":0.0076991324,"about_ca_topic_score_gemma":0.013743018,"teacher_disagreement_score":0.0076991324,"about_ca_system_score_codex":0.0008117484,"about_ca_system_score_gemma":0.0004438355,"threshold_uncertainty_score":0.015308619},"labels":[],"label_agreement":null},{"id":"W2914958944","doi":"10.1109/tvt.2019.2897127","title":"Performance Evaluation of Heterogeneous IoT Nodes With Differentiated QoS in IEEE 802.11ah RAW Mechanism","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":52,"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; Quality of service; IEEE 802.1X; Protocol (science); Service set; Media access control; Inter-Access Point Protocol; Throughput; IEEE 802.11; Wireless network; Wireless; Wi-Fi; Telecommunications","score_opus":0.013925109365239401,"score_gpt":0.23655681329662304,"score_spread":0.22263170393138362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914958944","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":[0.97528684,0.0007496286,0.020538453,0.00009777955,0.0000658941,0.00006845795,0.0000783345,0.00022325876,0.0028912625],"genre_scores_gemma":[0.99774855,0.000079324105,0.001855603,0.000014238313,0.0000064551296,0.000016734233,0.00004087868,0.000005980401,0.00023216271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981483,0.00052401115,0.0001404067,0.0002312982,0.0006285583,0.0003273529],"domain_scores_gemma":[0.99477494,0.00285462,0.0005489357,0.00046007874,0.0011478333,0.00021365818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028863146,0.0006873869,0.0005923598,0.0006635025,0.00044477344,0.00068232603,0.0008682229,0.00055943464,0.00073258154],"category_scores_gemma":[0.006125593,0.00013494477,0.00022775322,0.0006205045,0.00049214275,0.00094384304,0.0006269902,0.00033417568,0.00012553726],"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":[0.0053985645,0.0010638044,0.02699559,0.0007468546,0.0003083219,0.0010368302,0.00054919446,0.6715208,0.18416417,0.007454574,0.0015569675,0.09920438],"study_design_scores_gemma":[0.00009768313,0.004480943,0.011574936,0.000030495046,0.00017658129,0.000401718,0.00030728115,0.9181192,0.06297445,0.0010118195,0.0007660122,0.000058940783],"about_ca_topic_score_codex":0.0012301181,"about_ca_topic_score_gemma":0.0007848922,"teacher_disagreement_score":0.0028863146,"about_ca_system_score_codex":0.0006765807,"about_ca_system_score_gemma":0.00034240913,"threshold_uncertainty_score":0.0152644515},"labels":[],"label_agreement":null},{"id":"W2916305544","doi":"10.1109/tvt.2019.2910306","title":"Robust Radio Resource Allocation in MISO-SCMA Assisted C-RAN in 5G Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":39,"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","funders":"","keywords":"Codebook; Telecommunications link; Beamforming; C-RAN; Computer science; Resource allocation; Radio access network; Mathematical optimization; Transmission (telecommunications); Maximization; Optimization problem; Base station; Channel (broadcasting); Computer network; Algorithm; Mathematics; Telecommunications","score_opus":0.012475583474540109,"score_gpt":0.20869618154095204,"score_spread":0.19622059806641193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916305544","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":[0.041368734,0.0006158646,0.95490885,0.00013634884,0.00003919797,0.000042119107,0.00003704195,0.00015097909,0.00270097],"genre_scores_gemma":[0.9321621,0.00022208299,0.06653777,0.000066008644,0.000025610236,0.00003904298,0.00003559351,0.000019229608,0.0008924988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929905,0.00024151056,0.000021352995,0.00012588521,0.0001670051,0.00014520744],"domain_scores_gemma":[0.99939394,0.00032887733,0.00009826195,0.000043127184,0.000101907586,0.000033927186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080013275,0.00084003,0.00063262356,0.00027981694,0.0004261967,0.0008305751,0.0008292356,0.0005935868,0.0006667948],"category_scores_gemma":[0.0014975949,0.00029109852,0.0003299076,0.0004988594,0.00066280575,0.00073716894,0.0006855433,0.0005670213,0.00013208353],"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":[0.00011471492,0.000028074592,0.00034553403,0.000038757014,0.000026300899,0.0001119628,0.000034409193,0.96763235,0.003920017,0.0074010943,0.0004040442,0.019942766],"study_design_scores_gemma":[0.0000031719019,0.000024092262,0.000060147682,0.000002219588,0.0000045311986,0.000018900859,0.000009037614,0.99811494,0.00068339246,0.0009201937,0.0001557515,0.0000036069614],"about_ca_topic_score_codex":0.0050264914,"about_ca_topic_score_gemma":0.0066044377,"teacher_disagreement_score":0.0050264914,"about_ca_system_score_codex":0.0007640782,"about_ca_system_score_gemma":0.001092539,"threshold_uncertainty_score":0.009994447},"labels":[],"label_agreement":null},{"id":"W2918058626","doi":"10.1109/tvt.2019.2900032","title":"Throughput Analysis of Vehicular Internet Access via Roadside WiFi Hotspot","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":46,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer network; Hotspot (geology); Computer science; Throughput; The Internet; Internet access; Markov chain; Wireless; Telecommunications; World Wide Web","score_opus":0.013080918369007202,"score_gpt":0.2669934613356641,"score_spread":0.2539125429666569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918058626","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":[0.9501887,0.0009853096,0.04261802,0.00021146254,0.000029886009,0.000037183097,0.00033485604,0.0003943336,0.005200264],"genre_scores_gemma":[0.9991079,0.0001219118,0.0004363457,0.0000059970016,0.000004808384,0.000006180166,0.000053170104,0.0000072330126,0.00025646208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926955,0.00016818143,0.000020797135,0.00009421815,0.00016073548,0.00028652477],"domain_scores_gemma":[0.9977264,0.0013862854,0.00030754413,0.00011745385,0.00039089276,0.000071343726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007767218,0.0006037045,0.00066023413,0.0011876865,0.00052807207,0.0007085996,0.0006524511,0.0004797159,0.00090548233],"category_scores_gemma":[0.0024833265,0.00020713265,0.00047858575,0.0013299386,0.00067192083,0.0008068798,0.00058312784,0.0003930366,0.00013835075],"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":[0.00027568077,0.000054132048,0.0075661046,0.00005705577,0.00006504934,0.00026275706,0.00012539257,0.97260666,0.007113523,0.00594598,0.00049691397,0.0054307682],"study_design_scores_gemma":[0.000002856888,0.000061930186,0.002440718,0.0000041841186,0.000022796405,0.000048416357,0.00005593166,0.99484444,0.0017257754,0.0006677957,0.00011206091,0.000013125026],"about_ca_topic_score_codex":0.015604553,"about_ca_topic_score_gemma":0.0057009235,"teacher_disagreement_score":0.015604553,"about_ca_system_score_codex":0.0019733028,"about_ca_system_score_gemma":0.0006864991,"threshold_uncertainty_score":0.031027436},"labels":[],"label_agreement":null},{"id":"W2918311828","doi":"10.1109/tvt.2019.2902318","title":"A Game Theory Based Efficient Computation Offloading in an UAV Network","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computation offloading; Computer science; Distributed computing; Computation; Mobile device; Server; Edge computing; Mobile edge computing; Energy consumption; Enhanced Data Rates for GSM Evolution; Nash equilibrium; Game theory; Mathematical optimization; Computer network; Artificial intelligence; Operating system; Engineering","score_opus":0.004389531914222688,"score_gpt":0.20140982168469282,"score_spread":0.19702028977047012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918311828","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":[0.069451824,0.00028820682,0.9194855,0.00038651982,0.00007822556,0.00020511923,0.000117960706,0.00016073452,0.009825954],"genre_scores_gemma":[0.91375023,0.00028414017,0.07978631,0.00012570045,0.000028003753,0.0001993451,0.00010135553,0.00003817266,0.0056868047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994148,0.00022289738,0.000020517717,0.00010782509,0.00009913818,0.00013491549],"domain_scores_gemma":[0.9993604,0.0004049967,0.00005472826,0.00002705584,0.000084643776,0.00006831976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000634692,0.0008972061,0.0008559292,0.0004885498,0.0007020208,0.0012387973,0.0012043329,0.00094623683,0.002586103],"category_scores_gemma":[0.0014372304,0.00033771773,0.00062096474,0.00046550357,0.000919282,0.0010724519,0.0011356566,0.0007206615,0.0002467226],"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":[0.00007561447,0.000039655537,0.00037274873,0.000047217127,0.000018855277,0.00019564592,0.000061351784,0.96957225,0.0018196831,0.01923131,0.00088256673,0.007683044],"study_design_scores_gemma":[0.000007651936,0.000016518934,0.000045173198,0.0000029275761,0.0000034214465,0.000018159308,0.000015692656,0.9965197,0.00017051112,0.0029314947,0.00026613593,0.0000026156847],"about_ca_topic_score_codex":0.011033018,"about_ca_topic_score_gemma":0.008079903,"teacher_disagreement_score":0.011033018,"about_ca_system_score_codex":0.0015454767,"about_ca_system_score_gemma":0.0015318365,"threshold_uncertainty_score":0.021937609},"labels":[],"label_agreement":null},{"id":"W2918735386","doi":"10.1109/tvt.2020.2985289","title":"A Two-Timescale Approach for Network Slicing in C-RAN","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":42,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reservation; Quality of service; Resource allocation; Optimization problem; Radio access network; Mathematical optimization; Computer network; Stochastic programming; Distributed computing; Base station; Algorithm; Mathematics","score_opus":0.017467691041275893,"score_gpt":0.2305630394962698,"score_spread":0.2130953484549939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918735386","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":[0.0030812228,0.00023266132,0.9946149,0.00012739636,0.00004093882,0.000040127394,0.00003322772,0.00009299536,0.0017365953],"genre_scores_gemma":[0.6547198,0.0009878532,0.33987427,0.00025471262,0.00017734828,0.00028777146,0.00018666673,0.0001475248,0.003363974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984993,0.00042715948,0.00007734338,0.0003642592,0.00042935347,0.0002025536],"domain_scores_gemma":[0.9988489,0.0005466833,0.00018382086,0.000106729,0.00020604518,0.00010781215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019828225,0.0014109872,0.0010117805,0.0003940608,0.0006513198,0.0011957416,0.0015442652,0.000889901,0.0029011779],"category_scores_gemma":[0.0027667931,0.0005583783,0.0010588035,0.0006068138,0.0010166571,0.0014640612,0.0015295648,0.0019330869,0.00027608735],"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":[0.000096081036,0.000054539956,0.00042740148,0.00013133248,0.000036034344,0.00018715965,0.00009717978,0.909045,0.006007872,0.059608236,0.0012563088,0.023052953],"study_design_scores_gemma":[0.0000047133885,0.000023602212,0.00004769674,0.0000059247595,0.000005358959,0.000018572377,0.000006678389,0.99346393,0.0005270141,0.005327555,0.0005619699,0.0000069943676],"about_ca_topic_score_codex":0.005248231,"about_ca_topic_score_gemma":0.0045725247,"teacher_disagreement_score":0.005248231,"about_ca_system_score_codex":0.001419954,"about_ca_system_score_gemma":0.0022031132,"threshold_uncertainty_score":0.010486305},"labels":[],"label_agreement":null},{"id":"W2919303497","doi":"10.1109/tvt.2019.2902014","title":"Multicell Massive MIMO: Downlink Rate Analysis With Linear Processing Under Ricean Fading","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities","keywords":"Telecommunications link; Fading; MIMO; Channel state information; Channel (broadcasting); Signal-to-noise ratio (imaging); Beamforming; Transmitter power output; Computer science; Transmission (telecommunications); Spectral efficiency; Mathematics; Electronic engineering; Algorithm; Control theory (sociology); Telecommunications; Engineering; Transmitter; Wireless","score_opus":0.005518760916910597,"score_gpt":0.21145159581820486,"score_spread":0.20593283490129427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919303497","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":[0.076914325,0.0035684665,0.89882445,0.0005453083,0.00008660386,0.00007291789,0.0002764413,0.0004682801,0.019243244],"genre_scores_gemma":[0.9630253,0.0028325336,0.030182179,0.00019933021,0.00015098124,0.000096157324,0.00015504264,0.00010364317,0.0032548085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987521,0.00037525935,0.000034918405,0.00012661485,0.00042545376,0.00028575465],"domain_scores_gemma":[0.9966878,0.001935784,0.00040436359,0.0002617334,0.00063010526,0.000080331185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015012673,0.0013761583,0.0007340603,0.00090433133,0.00047667034,0.0012358839,0.0008836616,0.0007361387,0.0016880223],"category_scores_gemma":[0.0075856075,0.00042474712,0.00055668206,0.0010902715,0.0010232219,0.0013755353,0.0013597162,0.0010814412,0.00072846166],"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":[0.00009542668,0.000048751357,0.0012252392,0.00021874404,0.000049678107,0.00040455034,0.0001500999,0.9338823,0.009641903,0.034277245,0.0012657611,0.01874023],"study_design_scores_gemma":[0.0000030658746,0.00003028482,0.00037860015,0.000017828384,0.000013561386,0.0001405031,0.00004891035,0.9929321,0.0022991386,0.003596221,0.0005237668,0.000015985437],"about_ca_topic_score_codex":0.0052449107,"about_ca_topic_score_gemma":0.0029814765,"teacher_disagreement_score":0.0052449107,"about_ca_system_score_codex":0.0014755299,"about_ca_system_score_gemma":0.0009323001,"threshold_uncertainty_score":0.010705769},"labels":[],"label_agreement":null},{"id":"W2920468273","doi":"10.1109/tvt.2019.2902485","title":"Cyber-Physical Predictive Energy Management for Through-the-Road Hybrid Vehicles","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":36,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Powertrain; Energy management; Model predictive control; Cyber-physical system; Hybrid system; Energy management system; Computer science; Energy (signal processing); Automotive engineering; Controller (irrigation); Hybrid vehicle; Engineering; Control engineering; Power (physics); Control (management); Artificial intelligence; Torque; Machine learning","score_opus":0.005701471039061691,"score_gpt":0.20575561631029401,"score_spread":0.20005414527123233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920468273","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":[0.042201646,0.0005252523,0.9473452,0.00017806307,0.000088725676,0.000038410657,0.00005906077,0.00030849397,0.009255106],"genre_scores_gemma":[0.98863494,0.00020473484,0.009183996,0.000022643599,0.000016856993,0.000031524018,0.000045728983,0.000012788851,0.0018467249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984896,0.00003197342,0.0000065916674,0.00003498981,0.000056557707,0.000020848567],"domain_scores_gemma":[0.999874,0.000041258918,0.000024514226,0.000015062789,0.000038317,0.000006880481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024771187,0.00044119533,0.0004809918,0.00024819744,0.00028558166,0.00087085436,0.00066822453,0.0003873417,0.0011025345],"category_scores_gemma":[0.0003473165,0.0002189223,0.00038547095,0.00026247095,0.00042724228,0.0007484501,0.0006010363,0.0006121618,0.00017434754],"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":[0.000030616175,0.000019806255,0.00041479958,0.00005875069,0.000024459025,0.00007924134,0.00002977286,0.9714022,0.002359219,0.005060344,0.0003199657,0.020200787],"study_design_scores_gemma":[0.0000020953398,0.00002082873,0.00013618224,0.0000025301028,0.000004781552,0.000009307761,0.0000109598295,0.9976876,0.00044860903,0.0011623333,0.00051226676,0.0000026288192],"about_ca_topic_score_codex":0.003868788,"about_ca_topic_score_gemma":0.0038443715,"teacher_disagreement_score":0.003868788,"about_ca_system_score_codex":0.00034785183,"about_ca_system_score_gemma":0.0005589747,"threshold_uncertainty_score":0.007692516},"labels":[],"label_agreement":null},{"id":"W2921337715","doi":"10.1109/tvt.2019.2905432","title":"Energy-Efficient Edge Computing Service Provisioning for Vehicular Networks: A Consensus ADMM Approach","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":198,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer network; Computer science; Provisioning; Edge computing; Efficient energy use; Vehicular ad hoc network; Enhanced Data Rates for GSM Evolution; Service (business); Telecommunications; Distributed computing; Wireless ad hoc network; Engineering; Wireless; Electrical engineering; Business","score_opus":0.010824329874078198,"score_gpt":0.22049151809445514,"score_spread":0.20966718822037694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921337715","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":[0.0066205193,0.00015427434,0.991364,0.00017299093,0.0000402121,0.000022762584,0.00001978372,0.00009041332,0.0015150742],"genre_scores_gemma":[0.7382202,0.00048741768,0.25608552,0.0002606417,0.0001175896,0.00021487784,0.00018428231,0.00007466029,0.0043548215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997031,0.000096779826,0.000015734307,0.00007019917,0.00006750337,0.000046673264],"domain_scores_gemma":[0.9995136,0.00023334367,0.000065146356,0.000031495267,0.00012157472,0.00003479047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007955874,0.0009415146,0.0010154916,0.0004413482,0.00046547392,0.0007836911,0.0012559084,0.0009665056,0.0011805508],"category_scores_gemma":[0.0012473066,0.00046660472,0.0005842482,0.0007280442,0.00050700404,0.0007937222,0.0010241191,0.0012582236,0.0002080834],"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":[0.000020246007,0.000014862188,0.00013475647,0.000031026193,0.000015253747,0.0000298561,0.000021043003,0.98324615,0.0007227734,0.0032714426,0.0004913654,0.012001124],"study_design_scores_gemma":[0.0000028833872,0.000006032233,0.0000121568455,0.0000014317811,0.0000017078747,0.0000030597578,0.0000052811038,0.9988004,0.00008410267,0.00096832984,0.00011325155,0.0000013476995],"about_ca_topic_score_codex":0.00472367,"about_ca_topic_score_gemma":0.0042537004,"teacher_disagreement_score":0.00472367,"about_ca_system_score_codex":0.00063004764,"about_ca_system_score_gemma":0.0011300397,"threshold_uncertainty_score":0.009392321},"labels":[],"label_agreement":null},{"id":"W2921414490","doi":"10.1109/tvt.2019.2903872","title":"An Analytical Approach to Improve Vehicle Maneuverability via Torque Vectoring Control: Theoretical Study and Experimental Validation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":68,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Feed forward; Yaw; Control theory (sociology); Engineering; Vehicle dynamics; Torque; Controller (irrigation); Moment (physics); Control engineering; Leverage (statistics); Automotive engineering; Computer science; Control (management)","score_opus":0.004259799816571043,"score_gpt":0.2188992106775464,"score_spread":0.21463941086097535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921414490","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":[0.086287215,0.00057502737,0.9008592,0.00030536385,0.00007857641,0.00016352042,0.000043809836,0.0012355329,0.010451728],"genre_scores_gemma":[0.9626068,0.00022875656,0.035821326,0.000023480383,0.000011747455,0.000057522528,0.000024827086,0.000022827613,0.0012028762],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999778,0.000031321488,0.000011996869,0.000033543016,0.000111285706,0.000033774966],"domain_scores_gemma":[0.9997391,0.00007900301,0.000041454605,0.00004147873,0.000089065536,0.000009853217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003912508,0.0004892544,0.00031538398,0.00043738363,0.00024964087,0.0004080855,0.00047117574,0.00046143803,0.0012370128],"category_scores_gemma":[0.0007962787,0.00012902693,0.0002473281,0.00024541066,0.00045418905,0.00049149175,0.0003377631,0.00041495566,0.00022594028],"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":[0.00022710518,0.00027123807,0.0010973834,0.00074494333,0.000028913582,0.00023024244,0.0002876612,0.39445075,0.42510557,0.021331998,0.001265141,0.1549591],"study_design_scores_gemma":[0.000022010445,0.00041078436,0.00040787653,0.00001587268,0.000010607097,0.000057877973,0.000044390803,0.9278595,0.0675378,0.0013459041,0.0022696042,0.000017755803],"about_ca_topic_score_codex":0.0015554759,"about_ca_topic_score_gemma":0.0010134069,"teacher_disagreement_score":0.0015554759,"about_ca_system_score_codex":0.00035406824,"about_ca_system_score_gemma":0.00044539289,"threshold_uncertainty_score":0.0041381717},"labels":[],"label_agreement":null},{"id":"W2921796004","doi":"10.1109/tvt.2020.3015815","title":"Channel Estimation and Hybrid Precoding for Distributed Phased Arrays Based MIMO Wireless Communications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":22,"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 Victoria","funders":"National Key Research and Development Program of China; Six Talent Peaks Project in Jiangsu Province; National Natural Science Foundation of China","keywords":"Precoding; MIMO; Matching pursuit; Channel sounding; Channel (broadcasting); Beamforming; Overhead (engineering); Multiplexing; Channel state information","score_opus":0.030560900196343062,"score_gpt":0.24017963310135576,"score_spread":0.2096187329050127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921796004","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":[0.0039619757,0.0001608698,0.9946278,0.00004234999,0.000031665302,0.000010428703,0.000020070054,0.00017971089,0.0009651526],"genre_scores_gemma":[0.4844312,0.00073318346,0.50953394,0.0001914965,0.00017540476,0.00015011264,0.0002091748,0.000042186763,0.0045331893],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996086,0.00009475842,0.000017331438,0.0000805311,0.00016167646,0.000037197042],"domain_scores_gemma":[0.9996997,0.000102171274,0.00004611531,0.00005858888,0.00008102054,0.000012416918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024466796,0.0005367346,0.00039843578,0.00025526792,0.00021978798,0.000424551,0.00050471514,0.0004028843,0.0010857447],"category_scores_gemma":[0.0008393487,0.00023819193,0.00032742444,0.00056473125,0.0002838441,0.00062300224,0.0005382413,0.00063078816,0.0005312352],"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":[0.00022285042,0.00009368682,0.0010190223,0.00021439994,0.00011397526,0.0001807932,0.00013776943,0.39830023,0.09270313,0.033798695,0.00382271,0.46939275],"study_design_scores_gemma":[0.000013933606,0.00010684423,0.00026529806,0.000007895788,0.000017243636,0.000105244355,0.000015217325,0.9825032,0.01082478,0.003439721,0.0026857436,0.000014956705],"about_ca_topic_score_codex":0.0008888748,"about_ca_topic_score_gemma":0.0015872605,"teacher_disagreement_score":0.0010857447,"about_ca_system_score_codex":0.00021399731,"about_ca_system_score_gemma":0.00043994925,"threshold_uncertainty_score":0.0036322474},"labels":[],"label_agreement":null},{"id":"W2922001388","doi":"10.1109/tvt.2019.2903822","title":"Dynamic Resource Allocation for LTE-Based Vehicle-to-Infrastructure Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Mathematical optimization; Resource allocation; Computer science; Telecommunications link; Precoding; Subcarrier; Benchmark (surveying); Optimization problem; Particle swarm optimization; Computational complexity theory; Minification; Channel (broadcasting); Algorithm; Mathematics; Orthogonal frequency-division multiplexing; Computer network; MIMO","score_opus":0.002924699238220824,"score_gpt":0.20004227868771798,"score_spread":0.19711757944949715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922001388","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":[0.047301307,0.0013823794,0.9455864,0.00024966674,0.00006411001,0.00006096518,0.00006704046,0.00020344743,0.005084688],"genre_scores_gemma":[0.942964,0.00048084528,0.05440951,0.00007623104,0.000029877196,0.00008589182,0.00007058029,0.000024167779,0.0018587994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967635,0.00011146175,0.000011209821,0.000052902258,0.000064021755,0.000084160616],"domain_scores_gemma":[0.99969256,0.00018869458,0.00004131667,0.000017119137,0.000038110862,0.000022187469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005185004,0.00066131505,0.0006854335,0.00031612904,0.0004687785,0.0007167404,0.00078484206,0.0005345891,0.000860457],"category_scores_gemma":[0.0010819755,0.0002906559,0.00030369524,0.00058400276,0.00048115943,0.00067094364,0.00056946836,0.0005099331,0.00013627678],"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":[0.00003452288,0.000020589485,0.00022151072,0.000027479953,0.000016965596,0.00003419779,0.000019512332,0.97243166,0.0010646648,0.0032677292,0.0005697787,0.02229133],"study_design_scores_gemma":[0.000004700085,0.00001775955,0.000076963704,0.0000017891218,0.0000043401533,0.000012512945,0.000009978121,0.99799937,0.0002628189,0.0012420757,0.00036517845,0.0000025020947],"about_ca_topic_score_codex":0.011706286,"about_ca_topic_score_gemma":0.012197332,"teacher_disagreement_score":0.011706286,"about_ca_system_score_codex":0.0011045787,"about_ca_system_score_gemma":0.001281206,"threshold_uncertainty_score":0.023276329},"labels":[],"label_agreement":null},{"id":"W2922171833","doi":"10.1109/tvt.2019.2905522","title":"DeQoS Attack: Degrading Quality of Service in VANETs and Its Mitigation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer network; Computer science; Relay; Authentication (law); Quality of service; Vehicular ad hoc network; Exploit; Wireless ad hoc network; Computer security; Physical layer; Authentication protocol; Wireless; Telecommunications","score_opus":0.013780358245720168,"score_gpt":0.24296108856472076,"score_spread":0.2291807303190006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922171833","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":[0.17623247,0.003461009,0.81192094,0.000944571,0.00030432848,0.00013356803,0.000051827323,0.00067886186,0.006272482],"genre_scores_gemma":[0.9880086,0.00077307434,0.0104422085,0.00010504023,0.000036721165,0.000024442286,0.000018090666,0.000012462795,0.0005794075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983876,0.00047466133,0.00009067865,0.00021409939,0.00054907793,0.00028398805],"domain_scores_gemma":[0.9985061,0.00047859564,0.00040606267,0.00019388837,0.000328793,0.00008659647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009987225,0.00095331867,0.0006261112,0.00077743526,0.0005299529,0.00095571054,0.00085423206,0.0009070285,0.0005045408],"category_scores_gemma":[0.0031837153,0.00023650736,0.00046053872,0.00053228333,0.0008821671,0.0018327623,0.0016909295,0.00081218476,0.00013217199],"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":[0.0005895807,0.00016454486,0.015837543,0.0005688571,0.00026057096,0.0018700607,0.00064481224,0.65506387,0.085365586,0.07618021,0.0028241354,0.16063026],"study_design_scores_gemma":[0.000011744396,0.00036095252,0.0016683973,0.0000418015,0.000054600558,0.0012710874,0.00019829693,0.97179747,0.012632692,0.007643661,0.004283726,0.000035613015],"about_ca_topic_score_codex":0.001191028,"about_ca_topic_score_gemma":0.00058103044,"teacher_disagreement_score":0.001191028,"about_ca_system_score_codex":0.00067096023,"about_ca_system_score_gemma":0.000433702,"threshold_uncertainty_score":0.005281806},"labels":[],"label_agreement":null},{"id":"W2923630316","doi":"10.1109/tvt.2019.2906487","title":"xEV Li-Ion Battery Low-Temperature Effects—Review","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":180,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Battery (electricity); Electric vehicle; Automotive engineering; Lithium-ion battery; Degradation (telecommunications); Reliability engineering; Battery capacity; Computer science; Fade; Lithium (medication); State of charge; Power (physics); Engineering; Electrical engineering; Thermodynamics; Physics","score_opus":0.004488952928083947,"score_gpt":0.22767605701461457,"score_spread":0.22318710408653064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923630316","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006299432,0.99722856,0.0004143706,0.00011352487,0.00015710942,0.0000067663195,0.000029867333,0.0000090812655,0.0014108],"genre_scores_gemma":[0.003732829,0.99476165,0.00028255754,0.00011293537,0.00017511951,0.000009037332,0.000061558785,0.000003531784,0.000860795],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977785,0.000028334514,0.00003788761,0.000052880896,0.000083075196,0.000019991892],"domain_scores_gemma":[0.999302,0.00030760295,0.0000996945,0.00002027382,0.00024687097,0.0000235195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052050437,0.0007781738,0.00097469136,0.0015507046,0.0002249779,0.001078904,0.0011490455,0.0008658745,0.0030512635],"category_scores_gemma":[0.0008782629,0.00036226926,0.00055846263,0.002355409,0.00030768468,0.0015957883,0.0005871145,0.0006594974,0.0013976071],"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":[0.00014591882,0.000115504845,0.00070731685,0.04257061,0.00019683127,0.00026258428,0.00009006265,0.002709431,0.00374217,0.0050280583,0.017334066,0.9270975],"study_design_scores_gemma":[0.0000150331025,0.0004145717,0.0019620687,0.007957211,0.00045935993,0.0014615444,0.00017377418,0.0012867707,0.0055615855,0.0026384734,0.9780181,0.00005163538],"about_ca_topic_score_codex":0.0013699712,"about_ca_topic_score_gemma":0.0013454766,"teacher_disagreement_score":0.0030512635,"about_ca_system_score_codex":0.0003962823,"about_ca_system_score_gemma":0.00092249614,"threshold_uncertainty_score":0.010207474},"labels":[],"label_agreement":null},{"id":"W2926065969","doi":"10.1109/tvt.2019.2907696","title":"MME-EKF-Based Path-Tracking Control of Autonomous Vehicles Considering Input Saturation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":191,"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","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Control theory (sociology); Saturation (graph theory); Extended Kalman filter; Computer science; Path (computing); Engineering; Tracking (education); Control engineering; Control (management); Kalman filter; Mathematics; Artificial intelligence; Computer network","score_opus":0.00433761845420584,"score_gpt":0.18303368314957447,"score_spread":0.17869606469536864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926065969","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":[0.03736024,0.00040680094,0.95870453,0.00011899156,0.00008390293,0.000022061451,0.000021390932,0.00033051067,0.0029515433],"genre_scores_gemma":[0.9792574,0.00013062659,0.018522354,0.00004192669,0.000020829357,0.000037399528,0.00003286413,0.000013666219,0.0019430184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982184,0.000031165357,0.000009543872,0.00004345561,0.000059546728,0.00003443652],"domain_scores_gemma":[0.99975747,0.00006911959,0.000039133807,0.000016427774,0.00010594462,0.000012001578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042599865,0.00047172196,0.0005752573,0.00020330094,0.00029166718,0.00048631636,0.0005707616,0.00056600623,0.0006752692],"category_scores_gemma":[0.0007272357,0.00020448174,0.00026335355,0.00018605769,0.00038970102,0.00054461986,0.00061042764,0.0006421886,0.00014092716],"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":[0.00016127627,0.00003666261,0.0008231803,0.0001315055,0.000042973403,0.00013078173,0.00014305233,0.8783698,0.013518734,0.0060741086,0.0008428413,0.09972516],"study_design_scores_gemma":[0.000005111641,0.00003007311,0.0001343965,0.0000032134474,0.0000032310834,0.000010873419,0.0000044088597,0.9982168,0.00089116173,0.00035706605,0.00034078845,0.0000029072137],"about_ca_topic_score_codex":0.006118207,"about_ca_topic_score_gemma":0.0032014027,"teacher_disagreement_score":0.006118207,"about_ca_system_score_codex":0.00035490567,"about_ca_system_score_gemma":0.00062374194,"threshold_uncertainty_score":0.012165189},"labels":[],"label_agreement":null},{"id":"W2934625602","doi":"10.1109/tvt.2019.2908425","title":"Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":395,"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 Waterloo","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Deep learning; Transfer of learning; Distraction; Binary classification; Mobile phone; Distracted driving; Computer vision; Pattern recognition (psychology); Support vector machine","score_opus":0.026255678192563824,"score_gpt":0.30274881137914256,"score_spread":0.27649313318657875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2934625602","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":[0.12949878,0.0023369894,0.85764843,0.00053778203,0.00018836124,0.00012817454,0.0006164141,0.0036625217,0.0053825234],"genre_scores_gemma":[0.9133112,0.00086373504,0.078741156,0.00022837902,0.000071508795,0.000115748335,0.0013753553,0.00005489514,0.0052379365],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984276,0.000015177125,0.000009895742,0.00004404607,0.000044101682,0.00004396759],"domain_scores_gemma":[0.99989474,0.000018799325,0.00001636749,0.000009113294,0.00005081921,0.00001028616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023624458,0.0007796446,0.00038170416,0.000582014,0.00017260101,0.00042578453,0.000853142,0.0005502543,0.00088047195],"category_scores_gemma":[0.00041936958,0.00032049225,0.00046925954,0.0004011757,0.00014059604,0.00057736185,0.00046302797,0.00083411054,0.0003413629],"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":[0.00016473222,0.00037423125,0.0087109385,0.00016882682,0.00014190705,0.000156696,0.00009242367,0.32276058,0.020246474,0.0028314511,0.005283137,0.6390686],"study_design_scores_gemma":[0.000003039295,0.000034047276,0.00116128,0.000007285816,0.000012595606,0.00001689956,0.00001467856,0.9948095,0.00229647,0.0008577248,0.00078002986,0.0000064805154],"about_ca_topic_score_codex":0.013903601,"about_ca_topic_score_gemma":0.0137267215,"teacher_disagreement_score":0.013903601,"about_ca_system_score_codex":0.00066446885,"about_ca_system_score_gemma":0.00071284163,"threshold_uncertainty_score":0.02764535},"labels":[],"label_agreement":null},{"id":"W2935268363","doi":"10.1109/tvt.2019.2907682","title":"Deep Q-Learning Aided Networking, Caching, and Computing Resources Allocation in Software-Defined Satellite-Terrestrial Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":257,"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":"Ministerio de Economía y Competitividad; National Natural Science Foundation of China","keywords":"Computer science; Communications satellite; Satellite; Software-defined networking; Distributed computing; Software; Computer network; Engineering","score_opus":0.008373001353361411,"score_gpt":0.21168939056988215,"score_spread":0.20331638921652073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935268363","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":[0.06711088,0.0005970968,0.9291189,0.0006718624,0.000060415387,0.000041197516,0.000039236,0.00027622897,0.0020842385],"genre_scores_gemma":[0.9386768,0.0001958442,0.0589794,0.0001923055,0.000039761573,0.00004978945,0.00005421288,0.000023378168,0.0017884709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994282,0.00020089743,0.000023801083,0.00010846598,0.0000995655,0.00013893322],"domain_scores_gemma":[0.998439,0.0010000422,0.0001158259,0.00006618009,0.00027510631,0.00010388965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019496945,0.0004921924,0.0009407614,0.00027504432,0.00044850862,0.0007675433,0.0012459998,0.00092308916,0.0010888962],"category_scores_gemma":[0.0031007477,0.000327838,0.0002846726,0.00052475184,0.00094628474,0.0012385543,0.0009211018,0.0010808711,0.00010930609],"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":[0.00009035048,0.00007266188,0.0009739044,0.000036573958,0.000024719886,0.000045882025,0.000044839435,0.9522904,0.0009861479,0.01029096,0.0009249585,0.034218695],"study_design_scores_gemma":[0.0000029427165,0.000007009166,0.000027894963,8.580257e-7,0.0000014048859,0.0000022430004,0.0000020250527,0.99846774,0.00010434642,0.0013254018,0.00005721388,9.503314e-7],"about_ca_topic_score_codex":0.01333187,"about_ca_topic_score_gemma":0.011675714,"teacher_disagreement_score":0.01333187,"about_ca_system_score_codex":0.0015427029,"about_ca_system_score_gemma":0.0025051988,"threshold_uncertainty_score":0.02650851},"labels":[],"label_agreement":null},{"id":"W2942331856","doi":"10.1109/tvt.2021.3136794","title":"Wireless Network Reliability Analysis for Arbitrary Network Topologies","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"University of Toronto","funders":"","keywords":"Network topology; Wireless network; Linear network coding; Wireless; Computer science; Graph theory; Ergodic theory; Reliability (semiconductor); Wireless sensor network; Mathematics; Topology (electrical circuits); Computer network; Combinatorics; Telecommunications; Network packet","score_opus":0.02366132539990579,"score_gpt":0.26932733376095314,"score_spread":0.24566600836104735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942331856","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":[0.121426366,0.0010093452,0.86951745,0.00048608446,0.000048087768,0.00003171035,0.00013993745,0.0001347404,0.0072062486],"genre_scores_gemma":[0.9815692,0.0012071674,0.01523134,0.000050001705,0.000066446686,0.000042272313,0.00011407234,0.000052585416,0.0016668945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917954,0.00029889273,0.00002210113,0.000103330625,0.00028318763,0.00011278539],"domain_scores_gemma":[0.9955214,0.0029019061,0.0005007358,0.0003266147,0.00065833423,0.0000911234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011944313,0.0005589321,0.0004777921,0.00091504684,0.00032636826,0.00056863064,0.00073842576,0.0003939767,0.0009943836],"category_scores_gemma":[0.009622744,0.0002206966,0.00037763017,0.000892448,0.0010324297,0.0018502771,0.00071070995,0.00071608904,0.00018213478],"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":[0.000022484628,0.0000085756565,0.0006890412,0.000066293804,0.000013908677,0.00019313372,0.000089870184,0.913634,0.0015868266,0.07685916,0.00067257043,0.0061641065],"study_design_scores_gemma":[0.000001339265,0.000012565757,0.00031366554,0.000005896111,0.0000045076094,0.00008028218,0.000031730648,0.9727032,0.00025257346,0.02619904,0.00039090493,0.0000042635324],"about_ca_topic_score_codex":0.0022872668,"about_ca_topic_score_gemma":0.0011574328,"teacher_disagreement_score":0.0022872668,"about_ca_system_score_codex":0.0008752262,"about_ca_system_score_gemma":0.00038888288,"threshold_uncertainty_score":0.0063502192},"labels":[],"label_agreement":null},{"id":"W2942638925","doi":"10.1109/tvt.2019.2913934","title":"Secrecy Analysis in Wireless Network With Passive Eavesdroppers by Using Partial Cooperation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer network; Jamming; Beamforming; Computer science; Secrecy; Transmission (telecommunications); Wireless; Broadcasting (networking); Multicast; Wireless network; Secure transmission; Telecommunications; Computer security; Encryption","score_opus":0.00579213081979211,"score_gpt":0.2144010910957968,"score_spread":0.2086089602760047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942638925","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":[0.060686197,0.0015900292,0.9260918,0.00038686453,0.00004297257,0.000037783957,0.000102752114,0.00010453758,0.010957075],"genre_scores_gemma":[0.9730864,0.0026103922,0.020957634,0.00008349546,0.00010290549,0.000075849035,0.000078604164,0.00003807358,0.002966779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988538,0.00043746457,0.0000434892,0.00010582867,0.0003722183,0.00018723987],"domain_scores_gemma":[0.99732083,0.0017401072,0.00028095586,0.00020450307,0.0003922542,0.00006140782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015628634,0.0011746901,0.0007471621,0.0012222299,0.0006619506,0.0010459133,0.00090586033,0.00077137334,0.0013035863],"category_scores_gemma":[0.003338706,0.0004825265,0.0010331022,0.0009789995,0.0017190883,0.0023614045,0.0012719557,0.00092923,0.00035528684],"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":[0.00010810172,0.000029593439,0.0011245051,0.00021307805,0.00007944131,0.0005804343,0.0002902897,0.77331054,0.012422341,0.20267901,0.0009522549,0.008210368],"study_design_scores_gemma":[0.0000044144986,0.000032814798,0.00020749087,0.000013494125,0.000020436666,0.00013463577,0.000035864938,0.98045987,0.001241015,0.017477201,0.00036035143,0.000012308578],"about_ca_topic_score_codex":0.00216864,"about_ca_topic_score_gemma":0.00097027456,"teacher_disagreement_score":0.00216864,"about_ca_system_score_codex":0.0012030229,"about_ca_system_score_gemma":0.0008534583,"threshold_uncertainty_score":0.008728504},"labels":[],"label_agreement":null},{"id":"W2942870735","doi":"10.1109/tvt.2019.2911986","title":"Modeling and Performance Analysis of UAV-Assisted Vehicular Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":95,"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","funders":"","keywords":"Waypoint; Vehicular ad hoc network; Computer science; Context (archaeology); Drone; Mobility model; Wireless ad hoc network; Vehicle dynamics; Network topology; Weaving; Computer network; Real-time computing; Distributed computing; Simulation; Wireless; Engineering; Telecommunications; Aerospace engineering","score_opus":0.0050091019205184,"score_gpt":0.18658502997574258,"score_spread":0.18157592805522418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942870735","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":[0.0764953,0.004413581,0.88793546,0.00067351497,0.00015995477,0.00010645066,0.00047577568,0.00030712265,0.029432757],"genre_scores_gemma":[0.98517585,0.0019276795,0.0076192245,0.000034333007,0.00006534974,0.00007955387,0.00017765917,0.000023237588,0.004897268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995047,0.0001374729,0.000022190428,0.00008342209,0.00016299705,0.00008927788],"domain_scores_gemma":[0.99946314,0.00020812606,0.00013039458,0.000025258358,0.00015195784,0.000021176667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006282883,0.0008893564,0.0006137892,0.0007391111,0.00041458855,0.001145892,0.0010637834,0.00081125455,0.0008640375],"category_scores_gemma":[0.0016134422,0.0002514343,0.0005109074,0.0007008226,0.0004945269,0.0006897884,0.00076207053,0.0005997453,0.00029809566],"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":[0.000006087477,0.0000051082397,0.00029180525,0.000016904143,0.0000055024784,0.000049171464,0.000021074717,0.98996896,0.00041278428,0.007307366,0.00017811435,0.0017370906],"study_design_scores_gemma":[3.8945478e-7,0.0000054529173,0.00007094133,0.0000025821112,0.0000015964371,0.00000762446,0.0000074105374,0.9984565,0.000054113778,0.0011672819,0.00022438074,0.0000017325625],"about_ca_topic_score_codex":0.01875068,"about_ca_topic_score_gemma":0.006777682,"teacher_disagreement_score":0.01875068,"about_ca_system_score_codex":0.0015253178,"about_ca_system_score_gemma":0.0008632783,"threshold_uncertainty_score":0.037283063},"labels":[],"label_agreement":null},{"id":"W2943105404","doi":"10.1109/tvt.2019.2914908","title":"Near-Optimal Resource Allocation Algorithms for 5G+ Cellular Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"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":"Computer science; Computational complexity theory; Quality of service; Bandwidth (computing); Resource allocation; Distributed computing; Mathematical optimization; Optimization problem; Resource management (computing); Bandwidth allocation; Algorithm; Computer network; Mathematics","score_opus":0.006272546482217855,"score_gpt":0.2052890567193659,"score_spread":0.19901651023714803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943105404","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":[0.014706511,0.0007957834,0.978901,0.00029131252,0.00006857358,0.00006544828,0.00007162803,0.000199978,0.004899768],"genre_scores_gemma":[0.6477351,0.00091223913,0.3439944,0.00032545402,0.00012962255,0.0003471691,0.0002798542,0.00014054975,0.006135697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994276,0.0002355367,0.000024115849,0.00009960533,0.00009634498,0.000116783856],"domain_scores_gemma":[0.99864954,0.00101054,0.00012217028,0.000051139083,0.00011281881,0.00005382985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012213093,0.0011692935,0.001499857,0.00058223924,0.0005918082,0.0012142452,0.0012180395,0.0013189417,0.0035158892],"category_scores_gemma":[0.0032925522,0.00064114656,0.0005636152,0.0010718538,0.0008715438,0.0012222833,0.0012004662,0.0012349096,0.00066140114],"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":[0.000046935213,0.00003644503,0.00014125425,0.0000347954,0.000017076785,0.000023653278,0.000025884367,0.9704377,0.00026376836,0.008734434,0.0010367843,0.01920137],"study_design_scores_gemma":[0.000010231358,0.000012351335,0.00002815571,0.00000450612,0.000003007787,0.000007886496,0.000009598994,0.9940819,0.00008942917,0.0055061104,0.00024425564,0.0000026139783],"about_ca_topic_score_codex":0.0057750777,"about_ca_topic_score_gemma":0.0046790126,"teacher_disagreement_score":0.0057750777,"about_ca_system_score_codex":0.0010715134,"about_ca_system_score_gemma":0.0018896628,"threshold_uncertainty_score":0.011761844},"labels":[],"label_agreement":null},{"id":"W2943328238","doi":"10.1109/tvt.2019.2914457","title":"Energy Management Systems for Electrified Powertrains: State-of-the-Art Review and Future Trends","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Powertrain; Process (computing); Energy management; Computer science; Energy management system; Computation; Software; Control engineering; Reliability engineering; Engineering; Systems engineering; Automotive engineering; Industrial engineering; Operations research; Simulation; Energy (signal processing); Torque","score_opus":0.004064824549931645,"score_gpt":0.19238833898187166,"score_spread":0.18832351443194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943328238","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001074519,0.99183536,0.0030768344,0.0005720742,0.00030784178,0.00001603965,0.0000365813,0.000028117114,0.0030526822],"genre_scores_gemma":[0.0069779973,0.98951703,0.0022120269,0.00022808503,0.0004189201,0.000016180338,0.0000671749,0.000006062993,0.00055651064],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996531,0.00006309423,0.000054193206,0.000082468265,0.000118760516,0.000028310857],"domain_scores_gemma":[0.99840003,0.0010730898,0.00015741734,0.000039792263,0.00029232766,0.00003729634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009113659,0.0008011017,0.0008543513,0.0018979893,0.00028795615,0.0013957242,0.0010467027,0.0011396033,0.003064343],"category_scores_gemma":[0.0014170874,0.00043099892,0.0006529802,0.003246141,0.00050042674,0.0023187625,0.00071525766,0.0010559281,0.000806904],"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":[0.00006369325,0.00012414987,0.00072928384,0.025543274,0.00010862624,0.0001454857,0.0001438164,0.003684487,0.001686059,0.016180659,0.010103546,0.941487],"study_design_scores_gemma":[0.000014849717,0.00036585037,0.0023995766,0.012502719,0.0004168384,0.0010124618,0.00050861767,0.0050667464,0.0020119124,0.010882329,0.9647322,0.000085792446],"about_ca_topic_score_codex":0.0010299286,"about_ca_topic_score_gemma":0.0011473147,"teacher_disagreement_score":0.003064343,"about_ca_system_score_codex":0.00054598914,"about_ca_system_score_gemma":0.0014162125,"threshold_uncertainty_score":0.010251224},"labels":[],"label_agreement":null},{"id":"W2943678474","doi":"10.1109/tvt.2019.2914508","title":"Energy Harvesting Enabled NOMA Systems With Full-Duplex Relaying","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":72,"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":"Engineering and Physical Sciences Research Council; Natural Science Foundation of Shaanxi Province; Ministry of Science and Technology, Taiwan; National Natural Science Foundation of China","keywords":"Noma; Relay; Energy harvesting; Wireless; Energy (signal processing); Computer science; Electronic engineering; SIGNAL (programming language); Ergodic theory; Signal-to-noise ratio (imaging); Telecommunications link; Telecommunications; Engineering; Mathematics; Physics; Power (physics); Statistics","score_opus":0.004943825441336933,"score_gpt":0.16984771173497726,"score_spread":0.16490388629364033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943678474","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":[0.22953655,0.00390844,0.74908173,0.00039458036,0.00017127623,0.0000875396,0.00014553392,0.00020026896,0.016474118],"genre_scores_gemma":[0.9755686,0.000705917,0.021246728,0.000057389443,0.000042037816,0.000034360106,0.000019576826,0.0000037762081,0.0023216961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967885,0.00011744433,0.000015419484,0.00006425422,0.00008237496,0.000041746673],"domain_scores_gemma":[0.99964106,0.00018962145,0.0000628022,0.00004075074,0.00005255258,0.000013206722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039710256,0.00045689897,0.00054675183,0.00020050877,0.00036813892,0.0008284758,0.00047729688,0.00052064954,0.0006197979],"category_scores_gemma":[0.00068838533,0.00021398098,0.00026076136,0.00041487263,0.0004886397,0.0009479703,0.00068223756,0.0003762546,0.000207151],"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":[0.0005435854,0.00024094763,0.0028343783,0.00063350616,0.00023695613,0.0018364844,0.0005154995,0.6698499,0.09575782,0.10057282,0.0017882687,0.1251899],"study_design_scores_gemma":[0.000019661245,0.00023376549,0.00076357974,0.000020157968,0.00004481176,0.00046328385,0.00007564765,0.98236346,0.004543639,0.009218307,0.0022263832,0.000027301572],"about_ca_topic_score_codex":0.00063124945,"about_ca_topic_score_gemma":0.0010171434,"teacher_disagreement_score":0.0008284758,"about_ca_system_score_codex":0.00036796698,"about_ca_system_score_gemma":0.0002587827,"threshold_uncertainty_score":0.0026698112},"labels":[],"label_agreement":null},{"id":"W2943828395","doi":"10.1109/tvt.2019.2914003","title":"Direct Bit Loading With Reduced Complexity and Overhead for Precoded OFDM Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Interleaving; Precoding; Computer science; Electronic engineering; Overhead (engineering); Multiplexing; Bit error rate; Throughput; Computational complexity theory; Algorithm; Decoding methods; Engineering; Channel (broadcasting); Telecommunications; Wireless; MIMO","score_opus":0.014615100046289816,"score_gpt":0.2207881847699888,"score_spread":0.20617308472369897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943828395","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":[0.070616916,0.00058273127,0.9240576,0.0001550764,0.000052398194,0.00006821192,0.00003823201,0.0003534516,0.004075327],"genre_scores_gemma":[0.6450671,0.000879051,0.3498212,0.000103022045,0.00013035136,0.00010165851,0.000103906335,0.00006544047,0.0037282803],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995608,0.00013451725,0.00002380903,0.00005654971,0.00017618854,0.000048125203],"domain_scores_gemma":[0.9993142,0.00034613462,0.00008333996,0.00015311471,0.00008409612,0.000019061603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026004657,0.000759199,0.0005016092,0.00029593453,0.00038110116,0.0009482332,0.0004654122,0.00043609677,0.0018588594],"category_scores_gemma":[0.0018989977,0.0001848022,0.00019817325,0.0006120976,0.00047912047,0.0010083521,0.000563602,0.00050987967,0.0005747311],"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":[0.000630802,0.00026655156,0.0012463527,0.0004432059,0.00007043091,0.0006942053,0.0002638454,0.20831713,0.17535472,0.03804954,0.0017066427,0.5729566],"study_design_scores_gemma":[0.000028465773,0.00027015945,0.0005252789,0.0000325263,0.000040788444,0.0004427468,0.000052839972,0.9326905,0.055194017,0.0077441297,0.0029557692,0.000022814093],"about_ca_topic_score_codex":0.0004009471,"about_ca_topic_score_gemma":0.00073658366,"teacher_disagreement_score":0.0018588594,"about_ca_system_score_codex":0.00032324877,"about_ca_system_score_gemma":0.0005584765,"threshold_uncertainty_score":0.006218493},"labels":[],"label_agreement":null},{"id":"W2944211749","doi":"10.1109/tvt.2019.2916209","title":"On Countermeasures of Pilot Spoofing Attack in Massive MIMO Systems: A Double Channel Training Based Approach","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":47,"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 Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Precoding; Telecommunications link; Channel (broadcasting); MIMO; Spoofing attack; Computer science; Computer network; Jamming; Base station; Transmission (telecommunications); Telecommunications","score_opus":0.03464117845901562,"score_gpt":0.24675316996398947,"score_spread":0.21211199150497384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944211749","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":[0.033472914,0.0014686831,0.9583396,0.00038629532,0.00009973044,0.00004573697,0.000022719874,0.00009060284,0.0060736453],"genre_scores_gemma":[0.92965007,0.0019492971,0.06548755,0.00016419854,0.00018475975,0.00005615718,0.00002434605,0.000020696263,0.0024630006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990101,0.00035513117,0.000037235193,0.0001425219,0.0002956752,0.0001592443],"domain_scores_gemma":[0.99769044,0.0014470019,0.00030506385,0.00021192871,0.00028571425,0.00005986241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010450314,0.0011097123,0.00079950097,0.00065878883,0.00037041274,0.00092441234,0.0005343718,0.0010873103,0.0009329106],"category_scores_gemma":[0.0027992106,0.00027296954,0.00055100035,0.0004940519,0.0013764965,0.0015129923,0.000962665,0.0009286715,0.00019213716],"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":[0.00023029669,0.000112677255,0.001242114,0.00036469396,0.00013694231,0.00039439512,0.00022351669,0.81246525,0.03672032,0.08219866,0.00074183213,0.06516936],"study_design_scores_gemma":[0.000005949221,0.00020570392,0.00030723808,0.000021927275,0.00002564485,0.00016231246,0.000043128006,0.98676574,0.0051444033,0.0067035104,0.00059687137,0.000017586559],"about_ca_topic_score_codex":0.0006483544,"about_ca_topic_score_gemma":0.0005300776,"teacher_disagreement_score":0.0011097123,"about_ca_system_score_codex":0.0005259031,"about_ca_system_score_gemma":0.00059809623,"threshold_uncertainty_score":0.0055267215},"labels":[],"label_agreement":null},{"id":"W2944780132","doi":"10.1109/tvt.2019.2915005","title":"Spectral Efficiency of Multipair Massive MIMO Two-Way Relaying With Imperfect CSI","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; State Key Laboratory of Integrated Services Networks; Queen's University; Queen's University Belfast; National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization; Leverhulme Trust","keywords":"Relay; MIMO; Spectral efficiency; Topology (electrical circuits); Computer science; Channel (broadcasting); Transmitter power output; Power (physics); Algorithm; Mathematics; Telecommunications; Physics; Combinatorics","score_opus":0.010669104688605982,"score_gpt":0.23868825535001842,"score_spread":0.22801915066141243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944780132","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":[0.5167481,0.0012161032,0.45206565,0.0007709408,0.00005967869,0.00004923743,0.00025401288,0.0004175765,0.028418642],"genre_scores_gemma":[0.99433076,0.00018119895,0.0044695255,0.000032535612,0.0000105199315,0.00001559421,0.000035327786,0.000010665305,0.0009137901],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927753,0.00031921634,0.00002172048,0.000080396094,0.00019594235,0.00010525965],"domain_scores_gemma":[0.9974317,0.001924312,0.00018778692,0.00022185064,0.00018571438,0.000048712653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013038303,0.0007354263,0.0006332832,0.00043121327,0.0003017808,0.0009061508,0.00068585697,0.000803603,0.000899686],"category_scores_gemma":[0.0035977708,0.0003065989,0.00034318402,0.0004932565,0.0009540001,0.001012738,0.0007949856,0.0003703792,0.0002996309],"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":[0.0001776553,0.000044304976,0.0009066349,0.00008079828,0.000038920432,0.0002731518,0.00009924511,0.9456914,0.011359746,0.03281455,0.0004477807,0.00806589],"study_design_scores_gemma":[0.00001096072,0.00004128548,0.00037871653,0.0000074742766,0.000009714884,0.00007639541,0.000023322847,0.98895276,0.0023624625,0.007977853,0.00014825788,0.000010850911],"about_ca_topic_score_codex":0.0009895638,"about_ca_topic_score_gemma":0.0006872012,"teacher_disagreement_score":0.0013038303,"about_ca_system_score_codex":0.00089673593,"about_ca_system_score_gemma":0.00047846622,"threshold_uncertainty_score":0.006895423},"labels":[],"label_agreement":null},{"id":"W2945107394","doi":"10.1109/tvt.2019.2916496","title":"Delay-Dependent Priority-Aware Transmission Scheduling for E-Health Networks: A Mechanism Design Approach","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":15,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Queueing theory; Network packet; Base station; Body area network; Scheduling (production processes); Wireless; Priority queue; Transmission (telecommunications); Wireless network; Wireless sensor network; Queue; Telecommunications; Engineering","score_opus":0.011390389934829163,"score_gpt":0.22656989262683894,"score_spread":0.21517950269200978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945107394","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":[0.005544775,0.0005688456,0.99101454,0.00044308713,0.000108269036,0.0001992685,0.000026496333,0.00008970272,0.0020050022],"genre_scores_gemma":[0.7832036,0.0019896168,0.20916711,0.000502223,0.0003885202,0.00076174765,0.000052867843,0.000056781962,0.0038775618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965749,0.0014821825,0.00020706083,0.00059372315,0.0006913504,0.00045092366],"domain_scores_gemma":[0.99392515,0.0035479104,0.000917848,0.0004158776,0.0008315035,0.00036158704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073168743,0.0013938512,0.0012804484,0.0013653642,0.0010638655,0.0029171656,0.0049456856,0.0021333434,0.0027892934],"category_scores_gemma":[0.008894436,0.00089913496,0.0011331469,0.0012261979,0.0016963362,0.00314142,0.0018994757,0.0024057408,0.0003818275],"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":[0.00025698575,0.00050902396,0.0011103154,0.000624988,0.00023253287,0.0005091837,0.0004871289,0.5649731,0.0117484145,0.3624555,0.0023804554,0.054712504],"study_design_scores_gemma":[0.00005737423,0.00018368107,0.0001227013,0.00003879751,0.00007689896,0.00018409424,0.00007274812,0.9515565,0.0011593285,0.044350393,0.0021655215,0.000031954223],"about_ca_topic_score_codex":0.0019225762,"about_ca_topic_score_gemma":0.0014369246,"teacher_disagreement_score":0.0073168743,"about_ca_system_score_codex":0.0029788823,"about_ca_system_score_gemma":0.0043148617,"threshold_uncertainty_score":0.038695812},"labels":[],"label_agreement":null},{"id":"W2945644527","doi":"10.1109/tvt.2019.2916936","title":"On the End-to-End Delay in a One-Way VANET","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"End-to-end principle; Vehicular ad hoc network; End-to-end delay; Wireless ad hoc network; Computer network; Computer science; Probability distribution; Range (aeronautics); Wireless; Telecommunications; Engineering; Mathematics; Statistics; Network packet","score_opus":0.007975429753616864,"score_gpt":0.19551294210616868,"score_spread":0.1875375123525518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945644527","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":[0.04487167,0.008568806,0.9331223,0.0012647177,0.0003787284,0.0000873008,0.00018685959,0.00022187372,0.011297779],"genre_scores_gemma":[0.9371101,0.016615527,0.03769179,0.0004895307,0.00045863862,0.00016233168,0.00016088985,0.00023831715,0.0070727095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982374,0.00045326754,0.00010277974,0.00042196957,0.00052575296,0.00025887165],"domain_scores_gemma":[0.9880883,0.00953264,0.0008319759,0.00024429214,0.0011328589,0.00016991206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024285412,0.0014006284,0.0012831019,0.002381878,0.0009968745,0.002257261,0.0017512618,0.0011876888,0.0018421437],"category_scores_gemma":[0.014417032,0.00078200107,0.0007672558,0.0026742078,0.0021398938,0.004684694,0.0012516362,0.0018607626,0.00046263667],"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":[0.00007778933,0.00002518434,0.00095989,0.0001864139,0.000041753297,0.00018968097,0.00014369276,0.91280097,0.0017939546,0.07094623,0.00077623996,0.012058197],"study_design_scores_gemma":[0.0000051952293,0.00006337227,0.00033893585,0.00006173687,0.00003594249,0.0002173368,0.00009261653,0.9747772,0.00086480373,0.021715796,0.0017929107,0.00003418371],"about_ca_topic_score_codex":0.0074020405,"about_ca_topic_score_gemma":0.004107479,"teacher_disagreement_score":0.0074020405,"about_ca_system_score_codex":0.0033454148,"about_ca_system_score_gemma":0.0013000284,"threshold_uncertainty_score":0.0242728},"labels":[],"label_agreement":null},{"id":"W2945781536","doi":"10.1109/tvt.2019.2909689","title":"Optimal Cross-Layer Resource Allocation for Critical MTC Traffic in Mixed LTE Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Quality of service; Computer science; Resource allocation; Computational complexity theory; Distributed computing; Computer network; Resource management (computing); Process (computing); Algorithm","score_opus":0.01015130865174014,"score_gpt":0.2628163091418522,"score_spread":0.2526650004901121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945781536","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":[0.1345095,0.0010120911,0.8595362,0.00029808734,0.00006026726,0.00007557276,0.000037228005,0.00018515532,0.004285923],"genre_scores_gemma":[0.9441997,0.00027081982,0.054353915,0.00010092512,0.000028507744,0.00005866751,0.000028902823,0.000026582786,0.0009320421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993718,0.00024422654,0.000022751405,0.00006797836,0.00013973404,0.00015349842],"domain_scores_gemma":[0.99892455,0.0007326626,0.00010984145,0.000034381475,0.00014052646,0.000058105597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012487051,0.0009142464,0.00067399396,0.00059598446,0.0006106316,0.0012219033,0.00072213134,0.0005792174,0.0012047855],"category_scores_gemma":[0.0030268074,0.0004424164,0.0003095445,0.00053838396,0.0006890554,0.00079932914,0.00089470984,0.00056333997,0.00015113341],"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":[0.00015566146,0.000075104595,0.000522981,0.000048931233,0.000027127224,0.00005538769,0.00005667814,0.95893586,0.0040629767,0.007253522,0.0007011914,0.028104529],"study_design_scores_gemma":[0.000004724326,0.000014904413,0.000047650796,0.0000016313231,0.0000034627087,0.0000068791264,0.0000069831863,0.9985518,0.00032543135,0.0009767052,0.00005750864,0.0000022783208],"about_ca_topic_score_codex":0.0055153803,"about_ca_topic_score_gemma":0.0051945234,"teacher_disagreement_score":0.0055153803,"about_ca_system_score_codex":0.001593139,"about_ca_system_score_gemma":0.0017694926,"threshold_uncertainty_score":0.011559129},"labels":[],"label_agreement":null},{"id":"W2946769399","doi":"10.1109/tvt.2019.2917776","title":"SDN-Based Secure and Privacy-Preserving Scheme for Vehicular Networks: A 5G Perspective","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Canada Research Chairs; Tomsk Polytechnic University","keywords":"Computer science; Authentication (law); Computer network; Low latency (capital markets); Quality of service; Latency (audio); Distributed computing; Computer security","score_opus":0.005497923585075957,"score_gpt":0.21038701578338057,"score_spread":0.20488909219830462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946769399","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":[0.053877838,0.0014924852,0.9358847,0.0005691898,0.00027669405,0.0002835297,0.00013130394,0.00057173066,0.006912511],"genre_scores_gemma":[0.93736774,0.0006868659,0.058928724,0.00013960755,0.00005304027,0.00011441183,0.00019343682,0.000018365556,0.0024977466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986928,0.0003413889,0.00010343524,0.00015358164,0.0005249337,0.00018388696],"domain_scores_gemma":[0.9993249,0.00013116447,0.000081709026,0.0001675985,0.00024730884,0.000047260703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012996453,0.0003977258,0.00060316845,0.0005328856,0.0007368374,0.0012150557,0.0013381164,0.00058921333,0.0009081872],"category_scores_gemma":[0.0014650207,0.00014076344,0.00056522316,0.00049353915,0.0008808748,0.001693221,0.0013854476,0.00084691186,0.00019020808],"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":[0.00069659133,0.0001782229,0.0018699119,0.00031892018,0.00015790336,0.00049153523,0.0004397593,0.5598938,0.0309686,0.27715734,0.004384636,0.12344282],"study_design_scores_gemma":[0.000032454165,0.00018884375,0.00017861507,0.000026041394,0.00003482298,0.0001370541,0.000053866526,0.96697235,0.0066567846,0.019092549,0.006601757,0.000024916311],"about_ca_topic_score_codex":0.0022380457,"about_ca_topic_score_gemma":0.0020082241,"teacher_disagreement_score":0.0022380457,"about_ca_system_score_codex":0.0013399777,"about_ca_system_score_gemma":0.0016903629,"threshold_uncertainty_score":0.009722233},"labels":[],"label_agreement":null},{"id":"W2947459282","doi":"10.1109/tvt.2019.2920144","title":"Secure Transmission via Joint Precoding Optimization for Downlink MISO NOMA","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council","keywords":"Precoding; Eavesdropping; Telecommunications link; Computer science; Transmitter power output; Zero-forcing precoding; Channel state information; Base station; Computer network; Secure transmission; Optimization problem; Transmission (telecommunications); Convex optimization; Channel (broadcasting); Wireless; Transmitter; Encryption; Telecommunications; MIMO; Algorithm; Mathematics; Regular polygon","score_opus":0.009149322917241175,"score_gpt":0.21293959968688722,"score_spread":0.20379027676964603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947459282","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":[0.03306191,0.00053572684,0.9627294,0.0002304073,0.0000363914,0.00002530371,0.00005087121,0.0001435779,0.0031863826],"genre_scores_gemma":[0.91432637,0.00082175725,0.08143403,0.000091808164,0.00005365802,0.000091199756,0.000099267905,0.000040222392,0.0030417854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922633,0.00027267102,0.000032335476,0.00010348951,0.00023379643,0.0001314265],"domain_scores_gemma":[0.9993247,0.00034967595,0.00011956037,0.000059138434,0.00010917525,0.00003785376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007837752,0.001038085,0.0008347068,0.00035494423,0.00038613536,0.00091652496,0.0004573336,0.0005446261,0.00092383224],"category_scores_gemma":[0.0016786068,0.00043257806,0.0005184446,0.00070135115,0.00088656397,0.00078535907,0.00092902285,0.0009712305,0.000300914],"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":[0.00009425083,0.000036486665,0.00043035834,0.000058837184,0.00003580952,0.00013135017,0.00007815777,0.95604247,0.0042113587,0.01472526,0.000838852,0.02331684],"study_design_scores_gemma":[0.000006307858,0.000026398724,0.00006516379,0.0000037243065,0.0000060117777,0.000019436411,0.000011992195,0.9962064,0.0007001957,0.0027421338,0.00020747301,0.000004678857],"about_ca_topic_score_codex":0.0035065548,"about_ca_topic_score_gemma":0.0030352902,"teacher_disagreement_score":0.0035065548,"about_ca_system_score_codex":0.0006840185,"about_ca_system_score_gemma":0.0012452768,"threshold_uncertainty_score":0.0069722533},"labels":[],"label_agreement":null},{"id":"W2947951070","doi":"10.1109/tvt.2019.2919812","title":"Interference Mitigation and Dynamic User Association for Load Balancing in Heterogeneous Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":37,"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; Base station; Interference (communication); Heterogeneous network; User equipment; Network topology; Computer network; Distributed computing; Wireless; Wireless network; Telecommunications; Channel (broadcasting)","score_opus":0.0026705622975817197,"score_gpt":0.19558641860893586,"score_spread":0.19291585631135413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947951070","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":[0.03521042,0.0003397981,0.96209097,0.00008463089,0.00004185316,0.000034178942,0.000010881988,0.00025842406,0.0019287682],"genre_scores_gemma":[0.8372138,0.0002112779,0.16094793,0.000088232795,0.00006161457,0.000060121474,0.00004409307,0.000042689222,0.0013302384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952364,0.00014428471,0.00002015698,0.00008893304,0.00014548501,0.00007757684],"domain_scores_gemma":[0.99937195,0.00027440913,0.000109257075,0.000081215265,0.00012245587,0.000040721978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007334051,0.0005896116,0.0005630849,0.00059537217,0.0007366138,0.00061451737,0.0010287978,0.0004478263,0.0007602383],"category_scores_gemma":[0.001817778,0.00019426816,0.00033166356,0.00075648905,0.00040993287,0.00095491856,0.0007793111,0.0004850645,0.0002466979],"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":[0.00015210423,0.00016010561,0.001597274,0.00004444467,0.000054832668,0.00010208592,0.00013026863,0.78139395,0.015506991,0.011263387,0.001324205,0.18827036],"study_design_scores_gemma":[0.0000054864527,0.000032749438,0.0001870526,0.000002075238,0.000007263352,0.000039568666,0.00001388297,0.9956505,0.0018957593,0.0016263258,0.00053336436,0.000006034137],"about_ca_topic_score_codex":0.0020206864,"about_ca_topic_score_gemma":0.0028708922,"teacher_disagreement_score":0.0020206864,"about_ca_system_score_codex":0.00060253905,"about_ca_system_score_gemma":0.00069328526,"threshold_uncertainty_score":0.0043717623},"labels":[],"label_agreement":null},{"id":"W2948521512","doi":"10.1109/tvt.2019.2920988","title":"Improving the Security of Wireless Communications on High-Speed Trains by Efficient Authentication in SCN-R","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","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":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Authentication (law); Computer science; Wireless; Computer network; Password; Chaotic; Lightweight Extensible Authentication Protocol; Authentication protocol; Challenge–response authentication; Computer security; Telecommunications; Artificial intelligence","score_opus":0.004918450437428817,"score_gpt":0.19891697277636036,"score_spread":0.19399852233893156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948521512","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":[0.23439294,0.00026905542,0.7564058,0.00038840424,0.000105805455,0.00016475489,0.000032923806,0.0013794509,0.006860867],"genre_scores_gemma":[0.97265697,0.000083181854,0.026004586,0.000050308496,0.000013038462,0.000024452622,0.000025709405,0.000014598097,0.0011272223],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896526,0.00031191428,0.00007363954,0.0001376928,0.00034427256,0.00016723918],"domain_scores_gemma":[0.99892884,0.00023463197,0.00023586366,0.0002489027,0.00028751357,0.00006421728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084549794,0.0003698043,0.0003175678,0.0004307443,0.00048570783,0.00055055413,0.00052284217,0.0005462398,0.001251576],"category_scores_gemma":[0.0020408584,0.00012624673,0.00025267314,0.00036603396,0.00064171973,0.0014146536,0.0012456677,0.00044609825,0.0005261778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013699821,0.000329918,0.011796039,0.00038789626,0.000090825364,0.0011627709,0.00072077446,0.20526543,0.4069007,0.049879517,0.0035917712,0.31850454],"study_design_scores_gemma":[0.00007120182,0.000694069,0.0026913774,0.0000313763,0.00003895775,0.0007804625,0.00014345464,0.8747092,0.106365144,0.006364178,0.008056645,0.000053894088],"about_ca_topic_score_codex":0.00071258727,"about_ca_topic_score_gemma":0.00069320627,"teacher_disagreement_score":0.001251576,"about_ca_system_score_codex":0.00039834486,"about_ca_system_score_gemma":0.0007303391,"threshold_uncertainty_score":0.0044714212},"labels":[],"label_agreement":null},{"id":"W2948781686","doi":"10.1109/tvt.2019.2919873","title":"Secure Primary Transmission Assisted by a Secondary Full-Duplex NOMA Relay","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council; Xinjiang Normal University; National Natural Science Foundation of China","keywords":"Relay; Eavesdropping; Beamforming; Transmitter; Transmission (telecommunications); Decoding methods; Computer science; Cognitive radio; Artificial noise; Noma; Computer network; Electronic engineering; Secure transmission; Telecommunications link; Engineering; Telecommunications; Wireless; Physics","score_opus":0.004625560913038122,"score_gpt":0.19670093948295847,"score_spread":0.19207537856992035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948781686","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":[0.03129858,0.00072850403,0.96222687,0.00024777543,0.000206058,0.000065888176,0.000052357584,0.00035062077,0.0048234253],"genre_scores_gemma":[0.93381745,0.00037770183,0.06271542,0.00014684409,0.0001119881,0.00005233836,0.000047047528,0.00001886092,0.0027123138],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990928,0.00030069737,0.00006006828,0.00023092718,0.00021376,0.00010170137],"domain_scores_gemma":[0.9989766,0.00026210188,0.00015398448,0.00028658911,0.00025808485,0.00006273706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064760377,0.0010197621,0.0010363271,0.0004218499,0.00085194537,0.0011254364,0.0010313522,0.00077242526,0.0011922414],"category_scores_gemma":[0.001401176,0.00030370944,0.0005970218,0.00037532765,0.0006810354,0.0012023093,0.0012707065,0.0008582216,0.00070206163],"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":[0.0021391425,0.00033699296,0.00466939,0.0011795579,0.0005480039,0.0051074396,0.0013600661,0.15915993,0.35823065,0.17005494,0.0088037085,0.2884102],"study_design_scores_gemma":[0.00009861235,0.000862465,0.0008093908,0.000056280078,0.00023928648,0.0053160605,0.00016406443,0.90669227,0.05580036,0.020148065,0.0097230645,0.00009023032],"about_ca_topic_score_codex":0.0005064855,"about_ca_topic_score_gemma":0.0006904201,"teacher_disagreement_score":0.0011922414,"about_ca_system_score_codex":0.00033657812,"about_ca_system_score_gemma":0.0005821824,"threshold_uncertainty_score":0.003988445},"labels":[],"label_agreement":null},{"id":"W2950955091","doi":"10.1109/tvt.2019.2921918","title":"End-to-End Autonomous Driving: An Angle Branched Network Approach","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":42,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Intersection (aeronautics); Position (finance); Computer science; Artificial intelligence; Trajectory; End-to-end principle; Path (computing); Acceleration; Simulation; Computer vision; Human–computer interaction; Engineering; Computer network; Aerospace engineering","score_opus":0.006315317844530527,"score_gpt":0.1994052447805501,"score_spread":0.1930899269360196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950955091","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":[0.040873315,0.00026915548,0.9546484,0.00023546879,0.00004775406,0.00003445916,0.00006319782,0.0004971733,0.0033311283],"genre_scores_gemma":[0.9391455,0.00017908994,0.05676042,0.00010047865,0.00003370309,0.00006702161,0.0001742701,0.000051843763,0.003487683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998116,0.000039542305,0.000008881484,0.000064723055,0.000037198173,0.00003809952],"domain_scores_gemma":[0.9996182,0.00015625244,0.000046724203,0.00003671054,0.000104448816,0.000037604408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003840141,0.000745713,0.0005556081,0.00033966784,0.00032939913,0.0005214161,0.0013775016,0.00084748864,0.0015593161],"category_scores_gemma":[0.0010645965,0.0003572631,0.00041206507,0.00031697768,0.0005414619,0.0011354976,0.0010024532,0.00086503755,0.0002825705],"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":[0.0000979798,0.000050226932,0.00085826806,0.000028840452,0.000031742413,0.000085860775,0.000069203656,0.93271786,0.002566885,0.0054231663,0.00063972926,0.05743023],"study_design_scores_gemma":[0.0000015604652,0.000013850168,0.0000469979,0.0000010374993,0.0000020411394,0.0000053065655,0.0000040314358,0.9980952,0.00025222165,0.0014559006,0.00012000133,0.0000017788537],"about_ca_topic_score_codex":0.007850287,"about_ca_topic_score_gemma":0.0050153597,"teacher_disagreement_score":0.007850287,"about_ca_system_score_codex":0.0006768284,"about_ca_system_score_gemma":0.0005405296,"threshold_uncertainty_score":0.015609205},"labels":[],"label_agreement":null},{"id":"W2951397817","doi":"10.1109/tvt.2019.2921814","title":"Auction-Based Relay Selection and Power Allocation in Green Relay-Assisted Cellular Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Relay; Selection (genetic algorithm); Computer science; Cellular radio; Computer network; Power (physics); Cellular network; Telecommunications; Engineering; Base station","score_opus":0.010562120509563271,"score_gpt":0.2241930083635374,"score_spread":0.21363088785397413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951397817","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":[0.08717081,0.0011746901,0.90534675,0.00026037442,0.000092460126,0.00010413094,0.000059794227,0.00018027303,0.005610748],"genre_scores_gemma":[0.97693217,0.00029372468,0.021072261,0.000048265803,0.000024295552,0.000042001895,0.00001843198,0.000010814532,0.0015580206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876034,0.00062707183,0.000041304527,0.00017054383,0.0001957877,0.00020503001],"domain_scores_gemma":[0.99909365,0.0004983776,0.0001127402,0.00006644108,0.00015602828,0.0000727646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013730426,0.0006069995,0.0010249907,0.00048676482,0.00051886204,0.0011946111,0.0013470587,0.0007233067,0.0009001851],"category_scores_gemma":[0.0023998339,0.000318241,0.00048127407,0.0007222232,0.0009267764,0.0011479318,0.00061705033,0.0005716597,0.00015431688],"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":[0.00028217753,0.00010974813,0.00096522964,0.00009112976,0.00007980868,0.00048531307,0.00012964806,0.90999514,0.0063210283,0.0455683,0.0014578509,0.0345146],"study_design_scores_gemma":[0.000020991223,0.000049972987,0.00012681972,0.000003546907,0.000016612108,0.00008961941,0.00001929948,0.98977405,0.00063787546,0.008717598,0.0005324422,0.00001118917],"about_ca_topic_score_codex":0.0034358092,"about_ca_topic_score_gemma":0.0024955808,"teacher_disagreement_score":0.0034358092,"about_ca_system_score_codex":0.0011981078,"about_ca_system_score_gemma":0.000959665,"threshold_uncertainty_score":0.00869298},"labels":[],"label_agreement":null},{"id":"W2951628300","doi":"10.1109/tvt.2019.2905785","title":"Spectral Efficiency Analysis of the Decoupled Access for Downlink and Uplink in Two-Tier Network","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","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":"École de Technologie Supérieure","funders":"","keywords":"Spectral efficiency; Telecommunications link; Wireless; Base station; Wireless network; Bivariate analysis; WiMAX; Decoupling (probability)","score_opus":0.009916817405293264,"score_gpt":0.25041115708631834,"score_spread":0.24049433968102507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951628300","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":[0.11653183,0.0009630557,0.8717915,0.00025166475,0.00004127302,0.000049963266,0.000103182596,0.00015884412,0.0101086125],"genre_scores_gemma":[0.98161465,0.0005942037,0.015931997,0.00009758191,0.00003557831,0.000036832662,0.00004696543,0.000027569506,0.0016145669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849916,0.0004971058,0.00004572503,0.00019519145,0.000407562,0.00035523466],"domain_scores_gemma":[0.99577576,0.0025948605,0.00037302557,0.00037244987,0.0007561261,0.00012784767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021528087,0.0009324529,0.00080192887,0.00078301824,0.0005318515,0.0016165121,0.0010739911,0.0007228178,0.002452026],"category_scores_gemma":[0.006626394,0.00037020215,0.0006305138,0.0009633646,0.0014435098,0.0021928302,0.0015655549,0.0007363229,0.000397325],"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":[0.0003963965,0.00012367501,0.0037623586,0.00026043988,0.00011781731,0.0005333116,0.0003314159,0.78527594,0.024293615,0.1458154,0.0015943958,0.037495244],"study_design_scores_gemma":[0.0000062780264,0.000087299566,0.00080195017,0.000016367583,0.000034227847,0.00018228416,0.00009006749,0.984622,0.0022114709,0.011417936,0.0005117607,0.00001840824],"about_ca_topic_score_codex":0.0019309775,"about_ca_topic_score_gemma":0.0015496705,"teacher_disagreement_score":0.002452026,"about_ca_system_score_codex":0.0015282778,"about_ca_system_score_gemma":0.00079786044,"threshold_uncertainty_score":0.011385322},"labels":[],"label_agreement":null},{"id":"W2953491274","doi":"10.1109/tvt.2019.2926733","title":"Adaptive Hierarchical Energy Management Design for a Plug-In Hybrid Electric Vehicle","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":182,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Powertrain; Energy management; Control engineering; Energy management system; State of charge; Artificial neural network; Plug-in; Electric vehicle; Engineering; MATLAB; Automotive engineering; Computer science; Battery (electricity); Power (physics); Energy (signal processing); Artificial intelligence; Torque","score_opus":0.008408914261244288,"score_gpt":0.1957774037907512,"score_spread":0.1873684895295069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953491274","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":[0.060941126,0.00028855843,0.92267454,0.0002017554,0.000072412564,0.00010857151,0.000055193952,0.0005882377,0.015069594],"genre_scores_gemma":[0.97032374,0.00008218929,0.026631644,0.00006099396,0.0000124168955,0.000086763095,0.0000353513,0.000012853687,0.0027540324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998728,0.000015519856,0.000007144278,0.000038289996,0.00004429792,0.00002185655],"domain_scores_gemma":[0.999941,0.000008471504,0.000011800303,0.0000050107974,0.000026878415,0.0000069239068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018163185,0.00036960127,0.00028113497,0.0002547554,0.00034191838,0.0005280589,0.00094433647,0.00038994386,0.002085319],"category_scores_gemma":[0.00016557144,0.0001998095,0.00024515737,0.00016742478,0.0002365376,0.00037523662,0.0004380794,0.00036164315,0.00030168958],"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":[0.00012320004,0.00016036286,0.0013480348,0.0001264965,0.00006931978,0.00019205702,0.00010440436,0.844813,0.037721146,0.008611081,0.0014270882,0.10530382],"study_design_scores_gemma":[0.000008263952,0.00006617599,0.00022621278,0.0000040330206,0.000009380238,0.000016822052,0.000010561674,0.99604815,0.002157208,0.00063645316,0.00081270956,0.0000039967576],"about_ca_topic_score_codex":0.004329076,"about_ca_topic_score_gemma":0.0062531745,"teacher_disagreement_score":0.004329076,"about_ca_system_score_codex":0.0005401933,"about_ca_system_score_gemma":0.00059462304,"threshold_uncertainty_score":0.008607745},"labels":[],"label_agreement":null},{"id":"W2953761555","doi":"10.1109/tvt.2019.2925736","title":"A Novel Energy Harvesting Scheme for Mixed FSO-RF Relaying Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":68,"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 Victoria","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Advanced Optical Communication Systems and Networks; Department of Education of Guangdong Province; Shanghai Jiao Tong University; National Natural Science Foundation of China","keywords":"Energy harvesting; Electronic engineering; Radio frequency; Energy (signal processing); Relay; Correctness; Monte Carlo method; Component (thermodynamics); Computer science; Communications system; Topology (electrical circuits); Mathematics; Algorithm; Physics; Engineering; Telecommunications; Electrical engineering; Power (physics); Statistics","score_opus":0.014303081684763753,"score_gpt":0.21655012773492968,"score_spread":0.20224704605016594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953761555","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":[0.19008723,0.0015173261,0.79981387,0.0003233591,0.00009506477,0.00006408641,0.00008270477,0.00016445265,0.00785193],"genre_scores_gemma":[0.962358,0.00031963497,0.035516623,0.00005026332,0.00002801091,0.000024936382,0.000017721033,0.0000061219826,0.0016786787],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998734,0.00003379595,0.00000780929,0.000023429733,0.000043223245,0.000018263689],"domain_scores_gemma":[0.9998772,0.00005133548,0.000018488847,0.000021219856,0.000022724194,0.000009029445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025076445,0.00035164724,0.00036912799,0.00014562994,0.0002585802,0.00046618434,0.00046989674,0.00043186735,0.0009123159],"category_scores_gemma":[0.0003150654,0.00009784044,0.00022484771,0.00026189827,0.00030308173,0.00067252875,0.00051198085,0.00023072331,0.00018739246],"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":[0.00042665025,0.00014819905,0.001988993,0.00038722815,0.0001471292,0.0012735808,0.00035752996,0.35879144,0.37099588,0.13916367,0.0016717509,0.12464798],"study_design_scores_gemma":[0.000023559072,0.00024812712,0.0005038223,0.00001352084,0.00003275545,0.00054360245,0.000034482448,0.9750217,0.011752792,0.009578838,0.0022226283,0.00002420675],"about_ca_topic_score_codex":0.00017442604,"about_ca_topic_score_gemma":0.00029251762,"teacher_disagreement_score":0.0009123159,"about_ca_system_score_codex":0.00020862893,"about_ca_system_score_gemma":0.00020181247,"threshold_uncertainty_score":0.0030519962},"labels":[],"label_agreement":null},{"id":"W2953948844","doi":"10.1109/tvt.2019.2925629","title":"Multi-Drone 3-D Trajectory Planning and Scheduling in Drone-Assisted Radio Access Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":103,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Drone; Trajectory optimization; Trajectory; Base station; Coordinate descent; Mathematical optimization; Integer programming; Linear programming; Real-time computing; Computer network; Algorithm; Mathematics; Optimal control","score_opus":0.011738185822836216,"score_gpt":0.23625665062466583,"score_spread":0.2245184648018296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953948844","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":[0.024064856,0.0003800551,0.9733575,0.00011237151,0.000029779972,0.000054535503,0.00007466435,0.00020410823,0.0017222314],"genre_scores_gemma":[0.76930135,0.00062253466,0.22731777,0.00008316479,0.000027905853,0.00024412578,0.0002874023,0.00006792932,0.0020478752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996433,0.000096159674,0.000019081635,0.00009978515,0.000078315315,0.00006334962],"domain_scores_gemma":[0.9996024,0.00016315201,0.000071736824,0.0000374411,0.00007263645,0.000052570245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043283837,0.0008608215,0.0007587651,0.00038999438,0.00075663795,0.000761624,0.0009669252,0.00072146655,0.0010993729],"category_scores_gemma":[0.001089675,0.00058502203,0.0006297664,0.00067616854,0.0005873524,0.0007606986,0.0009977397,0.00087788975,0.00024882107],"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":[0.000027664044,0.0000113485485,0.00026631603,0.00002522003,0.000008089608,0.000049672482,0.00004913659,0.98405486,0.0009176073,0.0025513447,0.00028998317,0.0117488345],"study_design_scores_gemma":[0.0000037842594,0.000014536061,0.00006163328,0.0000025970394,0.000002945313,0.000009958546,0.0000151252925,0.99834096,0.00026752855,0.00088224,0.0003950838,0.0000035871317],"about_ca_topic_score_codex":0.021356357,"about_ca_topic_score_gemma":0.016667016,"teacher_disagreement_score":0.021356357,"about_ca_system_score_codex":0.0009831548,"about_ca_system_score_gemma":0.0016793477,"threshold_uncertainty_score":0.042464077},"labels":[],"label_agreement":null},{"id":"W2956151454","doi":"10.1109/tvt.2019.2926701","title":"Spectral- and Energy-Efficient Resource Allocation for Multi-Carrier Uplink NOMA Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Telecommunications link; Subcarrier; Maximization; Fractional programming; Mathematical optimization; Transmitter power output; Computer science; Noma; Iterative method; Resource allocation; Transmission (telecommunications); Convex optimization; Optimization problem; Orthogonal frequency-division multiplexing; Regular polygon; Mathematics; Computer network; Telecommunications; Nonlinear programming; Transmitter","score_opus":0.012294082657566232,"score_gpt":0.2259310736749211,"score_spread":0.21363699101735487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956151454","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":[0.025045928,0.0017724087,0.96664965,0.00020556488,0.00008971732,0.000040142368,0.00003393589,0.00008849114,0.006074221],"genre_scores_gemma":[0.8808603,0.0015399982,0.11368232,0.00012413332,0.00011516961,0.00011715129,0.00004011502,0.00003605021,0.0034847583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995604,0.00018985893,0.00001584916,0.000054586886,0.00010903128,0.00007027689],"domain_scores_gemma":[0.99959034,0.00023957113,0.000053515836,0.00003600086,0.00006434763,0.00001624558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005100799,0.00061197777,0.00067418604,0.00034176765,0.00057411025,0.0009065895,0.00055127696,0.00057619804,0.0011151822],"category_scores_gemma":[0.0015143306,0.00023650509,0.00034511482,0.00071595836,0.0005333488,0.0008995249,0.000707727,0.00052607374,0.00027479138],"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":[0.00011686657,0.00010607933,0.00049315125,0.00019554805,0.000055012297,0.00023697245,0.0001557198,0.84236556,0.010230217,0.04538967,0.0022328936,0.098422244],"study_design_scores_gemma":[0.0000045658026,0.00003269881,0.000092045855,0.000006942154,0.0000062196614,0.000047767382,0.00002968276,0.99186206,0.00088890677,0.005995665,0.0010271214,0.0000064481665],"about_ca_topic_score_codex":0.0012829675,"about_ca_topic_score_gemma":0.0020164666,"teacher_disagreement_score":0.0012829675,"about_ca_system_score_codex":0.00045788626,"about_ca_system_score_gemma":0.0006803231,"threshold_uncertainty_score":0.0037306547},"labels":[],"label_agreement":null},{"id":"W2957371207","doi":"10.1109/tvt.2019.2930285","title":"Low-Cost Uplink Sparse Code Multiple Access for Spatial Modulation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":25,"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; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimler Akademisi","keywords":"Telecommunications link; Decoding methods; Maximum a posteriori estimation; Spectral efficiency; Transmitter; Code (set theory); Bit error rate; Modulation (music)","score_opus":0.020111967460625112,"score_gpt":0.26314048972827603,"score_spread":0.24302852226765093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957371207","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":[0.039159786,0.0007933623,0.9522434,0.00022524048,0.00005248185,0.000048704333,0.00004623034,0.00045507902,0.006975819],"genre_scores_gemma":[0.8238505,0.00058102724,0.17096391,0.00015636363,0.00011683842,0.0000880111,0.00012869568,0.00002409056,0.0040904908],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996871,0.000086802465,0.000008766838,0.000027722626,0.00015853671,0.000031131985],"domain_scores_gemma":[0.99950933,0.00016501386,0.00007328482,0.00008259609,0.00014981073,0.00002000105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017514986,0.00030334134,0.000297127,0.00024715322,0.00025857257,0.00037980068,0.00058773457,0.0003385076,0.0018083043],"category_scores_gemma":[0.00086353254,0.00010392327,0.00016018923,0.0004441187,0.00023015885,0.00038203815,0.00047022654,0.0005012521,0.00066141813],"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":[0.00031832932,0.0001366463,0.002159319,0.0005092417,0.00007310844,0.00045639861,0.00015916809,0.104419306,0.21533133,0.08171116,0.006025712,0.5887003],"study_design_scores_gemma":[0.000025301048,0.00025191778,0.0006254362,0.000033070934,0.000034359877,0.0005584823,0.000033898672,0.9440551,0.034302883,0.007495203,0.012561419,0.000022982053],"about_ca_topic_score_codex":0.0008099805,"about_ca_topic_score_gemma":0.0018989353,"teacher_disagreement_score":0.0018083043,"about_ca_system_score_codex":0.00028743476,"about_ca_system_score_gemma":0.00050303654,"threshold_uncertainty_score":0.0060493946},"labels":[],"label_agreement":null},{"id":"W2959019313","doi":"10.1109/tvt.2019.2927389","title":"Evolution of Vehicle Network on a Highway","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Markov chain; Term (time); Probabilistic logic; Markov process; State (computer science); Statistical physics; Cluster (spacecraft); Computer science; Markov model; Mathematical optimization; Duration (music); Mathematics; Topology (electrical circuits); Algorithm; Statistics; Artificial intelligence; Computer network; Physics","score_opus":0.003998829741597246,"score_gpt":0.1827619814179194,"score_spread":0.17876315167632217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959019313","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":[0.9178355,0.0003182655,0.07137147,0.00044902493,0.00002584433,0.00003233778,0.00038905587,0.00012624195,0.009452278],"genre_scores_gemma":[0.9934627,0.00018319122,0.0031799336,0.000016999802,0.000007249258,0.000018700426,0.0001626908,0.000014073963,0.0029546372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998266,0.000046413927,0.0000049524338,0.000052600997,0.00003179841,0.000037622653],"domain_scores_gemma":[0.99965715,0.00011613809,0.00006614743,0.000029953722,0.00008210416,0.000048482307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023070416,0.00015797913,0.0002475525,0.0006881475,0.0004710749,0.00068122987,0.00050131854,0.00060067006,0.0016171501],"category_scores_gemma":[0.001420545,0.0001903841,0.00032286224,0.000503486,0.0005225634,0.00095657865,0.0005263203,0.00028533017,0.00017595215],"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":[0.00003507497,0.000019613959,0.009892026,0.000017929106,0.000026658121,0.00029656116,0.00015950394,0.9406894,0.0027966942,0.04025147,0.0005911095,0.005223956],"study_design_scores_gemma":[0.0000041764756,0.000017122062,0.002802829,0.000004252988,0.000007223401,0.000073929405,0.00008242916,0.98892933,0.00031601638,0.006899718,0.00085215864,0.000010869452],"about_ca_topic_score_codex":0.013408706,"about_ca_topic_score_gemma":0.0059744567,"teacher_disagreement_score":0.013408706,"about_ca_system_score_codex":0.0011752968,"about_ca_system_score_gemma":0.0005206674,"threshold_uncertainty_score":0.026661336},"labels":[],"label_agreement":null},{"id":"W2962213922","doi":"10.1109/tvt.2019.2927634","title":"Workload Scheduling in Vehicular Networks With Edge Cloud Capabilities","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Edge computing; Computer science; Cloud computing; Mobile edge computing; Scheduling (production processes); Distributed computing; Edge device; Workload; Computation offloading; Enhanced Data Rates for GSM Evolution; Computer network; Engineering; Telecommunications","score_opus":0.006354496705789573,"score_gpt":0.20226210412404633,"score_spread":0.19590760741825675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962213922","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":[0.30285498,0.0023640112,0.679408,0.0010394495,0.00027663444,0.00018237799,0.00035986738,0.00025829894,0.013256431],"genre_scores_gemma":[0.97928876,0.00039909215,0.018108662,0.000062268984,0.000041716205,0.000040524763,0.00010657301,0.000036848425,0.001915559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929476,0.00022783144,0.000022038514,0.00009517075,0.00009620116,0.00026393466],"domain_scores_gemma":[0.999151,0.0004912911,0.00008086819,0.000035291043,0.000117931115,0.00012364156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085001154,0.0006887121,0.0008597669,0.0003652801,0.0006738616,0.0012297537,0.0010229105,0.00071028376,0.0013234648],"category_scores_gemma":[0.002144559,0.00040962585,0.00038205128,0.00066946977,0.0004944039,0.0008070701,0.0007786312,0.00054008904,0.00016775365],"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":[0.0000924698,0.000020474306,0.0003903165,0.000042666667,0.000010307988,0.00009055268,0.000031252475,0.9877346,0.0009552575,0.004784571,0.00064363674,0.0052038683],"study_design_scores_gemma":[0.000005234657,0.000012524517,0.00009898921,0.0000026753453,0.0000024223707,0.000010243439,0.000033504468,0.99750394,0.00014905202,0.0019074967,0.00027140524,0.0000025114455],"about_ca_topic_score_codex":0.01728874,"about_ca_topic_score_gemma":0.012166852,"teacher_disagreement_score":0.01728874,"about_ca_system_score_codex":0.0015751806,"about_ca_system_score_gemma":0.0015749204,"threshold_uncertainty_score":0.034376204},"labels":[],"label_agreement":null},{"id":"W2962913615","doi":"10.1109/tvt.2019.2930588","title":"Two-Tier Architecture for Spectrum Auction in SDN-Enabled Cloud Radio Access Network","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"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; Computer network; Cloud computing; Radio access network; Spectrum auction; Quality of service; Auction theory; Base station; Bidding; Business; Operating system","score_opus":0.005631233352042576,"score_gpt":0.22266668710818827,"score_spread":0.2170354537561457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962913615","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":[0.057487145,0.00048451172,0.930978,0.00032830413,0.00015656684,0.00025627602,0.000053927848,0.00057383813,0.009681339],"genre_scores_gemma":[0.9021001,0.00019918432,0.094773725,0.0001059543,0.000036372432,0.000090801404,0.000050793038,0.000024042844,0.0026190688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835145,0.0005344041,0.00009772391,0.00027251284,0.00038566205,0.0003582626],"domain_scores_gemma":[0.99939597,0.00011018744,0.00006049139,0.00010996677,0.00020380635,0.000119553624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016667307,0.00040190632,0.00065405486,0.00039874107,0.0008780282,0.0019589858,0.002103371,0.0006941808,0.001799991],"category_scores_gemma":[0.0010680509,0.00030607232,0.00064752845,0.0005219556,0.0006618696,0.0013491625,0.0016273562,0.0008558827,0.0002683086],"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":[0.0005909067,0.00050117285,0.0037995274,0.0002212838,0.00020530817,0.0010114174,0.00028868834,0.65278274,0.027638463,0.19620162,0.004900567,0.111858204],"study_design_scores_gemma":[0.000013507109,0.000056568308,0.00016999594,0.000004670265,0.000012705234,0.00008971486,0.000023094666,0.9903199,0.000978673,0.0069305315,0.0013854599,0.000015134329],"about_ca_topic_score_codex":0.0057837632,"about_ca_topic_score_gemma":0.006825826,"teacher_disagreement_score":0.0057837632,"about_ca_system_score_codex":0.0016292087,"about_ca_system_score_gemma":0.0020837975,"threshold_uncertainty_score":0.011820734},"labels":[],"label_agreement":null},{"id":"W2963050357","doi":"10.1109/tvt.2019.2930884","title":"A Benchmark for Joint Channel Allocation and User Scheduling in Flexible Heterogeneous Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"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 Waterloo","funders":"","keywords":"Scheduling (production processes); Computer science; Joint (building); Benchmark (surveying); Computer network; Channel (broadcasting); Distributed computing; Channel allocation schemes; Engineering; Telecommunications; Wireless","score_opus":0.00816864955295501,"score_gpt":0.2089892724235346,"score_spread":0.20082062287057958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963050357","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":[0.3054192,0.0019471726,0.63811463,0.0013639729,0.00029018373,0.00030432377,0.0018366773,0.0005760347,0.05014784],"genre_scores_gemma":[0.90988874,0.00039762736,0.08578019,0.00011212868,0.000044381064,0.00018576883,0.0006662409,0.00008200747,0.0028429858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988292,0.00047932728,0.000032824242,0.00014744063,0.00023748886,0.00027358718],"domain_scores_gemma":[0.9967603,0.0021061695,0.00026756877,0.00025115773,0.0004216772,0.00019309121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022279052,0.0012086246,0.0010069127,0.00075653306,0.00068109646,0.0018148265,0.0013246692,0.0015272682,0.0022254495],"category_scores_gemma":[0.0075315596,0.00031141314,0.0005226486,0.0014158525,0.00095158996,0.0014649134,0.0011674239,0.0011289126,0.00021059992],"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":[0.000043586402,0.000040929823,0.00022870334,0.00003812122,0.000012807439,0.000027158248,0.0000071552417,0.9852211,0.00031308015,0.008960787,0.00063907006,0.0044675316],"study_design_scores_gemma":[0.000006854063,0.000032180596,0.00010027309,0.0000056681456,0.0000033433355,0.000007499526,0.000014827114,0.99568534,0.00027637064,0.003558309,0.00030625158,0.0000031334312],"about_ca_topic_score_codex":0.006788755,"about_ca_topic_score_gemma":0.005145725,"teacher_disagreement_score":0.006788755,"about_ca_system_score_codex":0.0018587285,"about_ca_system_score_gemma":0.0016591414,"threshold_uncertainty_score":0.013498485},"labels":[],"label_agreement":null},{"id":"W2963090386","doi":"10.1109/tvt.2019.2931277","title":"Artificial Noise Scheme for Correlated MISO Wiretap Channels","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ergodic theory; Secrecy; Artificial noise; Channel (broadcasting); Noise (video); Upper and lower bounds; Signal-to-noise ratio (imaging); Topology (electrical circuits); Computer science; Correlation; SIGNAL (programming language); Mathematics; Electronic engineering; Telecommunications; Engineering; Computer security; Artificial intelligence; Transmitter; Combinatorics; Mathematical analysis","score_opus":0.011808026807163063,"score_gpt":0.23090913343898917,"score_spread":0.2191011066318261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963090386","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":[0.11246467,0.00060065975,0.8732588,0.00039673518,0.00009626342,0.000048670398,0.00008359563,0.0001108115,0.012939825],"genre_scores_gemma":[0.9678389,0.0005829015,0.028924027,0.00011757625,0.000051379568,0.000048213824,0.000037051315,0.000025123858,0.0023749392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.00062522996,0.00005614644,0.00017310889,0.00044867294,0.00017694182],"domain_scores_gemma":[0.99443734,0.0035935107,0.0008584156,0.0005145841,0.0004726338,0.00012352505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016688069,0.0008015235,0.0006610174,0.00045292164,0.0005154696,0.0010706654,0.00066337356,0.0006601794,0.001323596],"category_scores_gemma":[0.0059480234,0.00024107941,0.0003423499,0.0006807853,0.001975934,0.0017412896,0.0014144199,0.0010296656,0.00026229984],"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":[0.00052621635,0.000068502246,0.001279492,0.0002778339,0.00007721013,0.00044179094,0.00024164494,0.48141542,0.035619948,0.45776427,0.0009210739,0.021366578],"study_design_scores_gemma":[0.00001701507,0.00017006141,0.00033582302,0.00004453854,0.0000340434,0.0002683936,0.000058330083,0.9488075,0.012818883,0.0357295,0.0016684029,0.000047552854],"about_ca_topic_score_codex":0.000370152,"about_ca_topic_score_gemma":0.00043287117,"teacher_disagreement_score":0.0016688069,"about_ca_system_score_codex":0.0008826072,"about_ca_system_score_gemma":0.00069714896,"threshold_uncertainty_score":0.0088256},"labels":[],"label_agreement":null},{"id":"W2963148427","doi":"10.1109/tvt.2019.2930885","title":"Analysis of a Distance-Based Pairing Scheme for Collaborative Content Distribution via Device-to-Device Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":11,"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 New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairing; Scheme (mathematics); Content distribution; Computer science; Computer network; Electronic engineering; Engineering; Physics; Mathematics","score_opus":0.03168064577762774,"score_gpt":0.2617060696043504,"score_spread":0.23002542382672264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963148427","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":[0.038330708,0.0007170163,0.95134974,0.00037141083,0.000076776385,0.00018024816,0.000057513607,0.00014081114,0.00877583],"genre_scores_gemma":[0.93294305,0.00072557776,0.062484503,0.00009306697,0.000061324194,0.00017198733,0.00005617602,0.00003458469,0.0034297688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768865,0.00094545627,0.00007118105,0.00021143112,0.00073933444,0.00034405728],"domain_scores_gemma":[0.9940486,0.0038149422,0.0005337781,0.00048487072,0.00091390155,0.00020402696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025917252,0.0008929167,0.0012503433,0.001227481,0.001198424,0.001637041,0.0018572818,0.0012917552,0.0032870078],"category_scores_gemma":[0.009353252,0.0004926712,0.00073716126,0.001839898,0.0015262236,0.0017506952,0.0018299635,0.0008783609,0.00051120674],"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":[0.00015239426,0.000068219495,0.0006598917,0.00013661014,0.000040541323,0.00020540241,0.00016934221,0.8600495,0.0051935576,0.114187784,0.0015418277,0.01759492],"study_design_scores_gemma":[0.000006288737,0.00004768006,0.000079457706,0.000006244989,0.000009199468,0.00008740923,0.000022133927,0.99357975,0.00049003644,0.0051840986,0.00047859055,0.000009169512],"about_ca_topic_score_codex":0.0025651264,"about_ca_topic_score_gemma":0.0017152098,"teacher_disagreement_score":0.0035577556,"about_ca_system_score_codex":0.0035577556,"about_ca_system_score_gemma":0.002050408,"threshold_uncertainty_score":0.02581346},"labels":[],"label_agreement":null},{"id":"W2963719192","doi":"10.1109/tvt.2016.2551721","title":"Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":205,"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 Waterloo","funders":"Kuwait Foundation for the Advancement of Sciences; Central South University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cognitive radio; Wireless sensor network; Energy harvesting; Data transmission; Computer science; Energy consumption; Wireless; Real-time computing; Default gateway; Transmission (telecommunications); Computer network; Energy (signal processing); Engineering; Telecommunications; Electrical engineering","score_opus":0.016418421268894333,"score_gpt":0.23726415300967432,"score_spread":0.22084573174077998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963719192","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":[0.08553418,0.00064506114,0.9108884,0.00012905615,0.000055852728,0.000032162076,0.000018177845,0.00012244348,0.0025746636],"genre_scores_gemma":[0.97015923,0.00021006077,0.028884433,0.000039249142,0.000017607405,0.000030796808,0.000014088234,0.0000072279736,0.00063739123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996996,0.00009942561,0.00001525851,0.00005622832,0.00008734531,0.000042230502],"domain_scores_gemma":[0.9996464,0.00019959749,0.000041018513,0.000033511908,0.00006004891,0.000019453277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006265004,0.0003319112,0.0003561835,0.00024219243,0.0003407443,0.00038355278,0.0005967655,0.0003584831,0.00025702285],"category_scores_gemma":[0.0012326633,0.00017785873,0.00021944038,0.00037375375,0.00038776378,0.00050115684,0.0004617841,0.00024893138,0.00006671773],"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":[0.00015057322,0.00009754447,0.0008847925,0.00007259163,0.000036172845,0.00017998551,0.00008817108,0.89258426,0.020321766,0.013226905,0.00057072967,0.071786515],"study_design_scores_gemma":[0.0000046395576,0.000024416466,0.00012784984,0.0000017176778,0.0000051343027,0.000022694236,0.0000107258375,0.99539953,0.0018950772,0.0022979681,0.0002065789,0.0000036382803],"about_ca_topic_score_codex":0.0021141164,"about_ca_topic_score_gemma":0.0023831837,"teacher_disagreement_score":0.0021141164,"about_ca_system_score_codex":0.00042427407,"about_ca_system_score_gemma":0.00065448135,"threshold_uncertainty_score":0.0042036176},"labels":[],"label_agreement":null},{"id":"W2963746388","doi":"10.1109/tvt.2019.2930657","title":"Joint Traffic Routing and Virtualized Security Function Activation in Wireless Multihop Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Research Foundation of Korea","keywords":"Computer network; Joint (building); Computer science; Wireless; Routing (electronic design automation); Geographic routing; Wireless network; Dynamic Source Routing; Routing protocol; Engineering; Telecommunications","score_opus":0.006873368671018474,"score_gpt":0.20451733808374217,"score_spread":0.1976439694127237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963746388","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":[0.043964658,0.0001543207,0.9542433,0.0001707225,0.000026045293,0.00003258566,0.000016478434,0.000090584035,0.001301271],"genre_scores_gemma":[0.9574864,0.000119485056,0.04108988,0.000031059186,0.000019111885,0.00005772539,0.000022197295,0.00002392467,0.0011503716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989065,0.00050305726,0.000030695923,0.00017584549,0.00019950529,0.00018446524],"domain_scores_gemma":[0.9988714,0.0006428181,0.0001865395,0.00009757733,0.0001352433,0.00006638919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014631742,0.0007560728,0.00090960227,0.0003974978,0.0004952099,0.0009759719,0.0007871284,0.00092970155,0.0007130526],"category_scores_gemma":[0.0025302337,0.00044082451,0.0005561989,0.00049715,0.0011971382,0.0015337367,0.001182869,0.000867544,0.000086966946],"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":[0.000026774042,0.000014577298,0.00012453206,0.000016295344,0.000008330184,0.000027730974,0.000016966678,0.9845926,0.0012784101,0.008646502,0.00011377692,0.005133385],"study_design_scores_gemma":[0.000003598417,0.00001811885,0.000036720554,0.0000011817802,0.0000023439052,0.000008560797,0.0000052206283,0.9966036,0.0002937231,0.0029245734,0.000099990306,0.0000023688872],"about_ca_topic_score_codex":0.0018420103,"about_ca_topic_score_gemma":0.0015755135,"teacher_disagreement_score":0.0018420103,"about_ca_system_score_codex":0.00095379975,"about_ca_system_score_gemma":0.0013053997,"threshold_uncertainty_score":0.0077381134},"labels":[],"label_agreement":null},{"id":"W2964098968","doi":"10.1109/tvt.2018.2890685","title":"Learning-Based Computation Offloading for IoT Devices With Energy Harvesting","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":545,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Mobile Communications Research Laboratory, Southeast University; National Natural Science Foundation of China","keywords":"Computation offloading; Computer science; Energy consumption; Mobile edge computing; Edge computing; Mobile device; Wireless; Edge device; Reinforcement learning; Computation; Latency (audio); Energy harvesting; Real-time computing; Server; Computer network; Internet of Things; Energy (signal processing); Embedded system; Cloud computing; Artificial intelligence; Engineering; Electrical engineering; Telecommunications","score_opus":0.005511984357834534,"score_gpt":0.19387109947341638,"score_spread":0.18835911511558184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964098968","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":[0.08376759,0.00043248746,0.90841335,0.00020972427,0.00008121356,0.00007700344,0.000029244493,0.00074051047,0.0062488234],"genre_scores_gemma":[0.9786862,0.00010469851,0.019819396,0.00007617886,0.000015858872,0.00004131185,0.000023738268,0.000025933661,0.0012066998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978334,0.000031256754,0.000012039627,0.0000509674,0.00006334544,0.00005914002],"domain_scores_gemma":[0.99967813,0.00015048104,0.0000380713,0.000053364274,0.000052523414,0.000027453207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028302777,0.0005944434,0.0005299084,0.00016644935,0.0003579982,0.00043619136,0.0008819679,0.0003201102,0.001175752],"category_scores_gemma":[0.0011398108,0.00016697137,0.00027213438,0.00022112989,0.00045323107,0.00076871365,0.00082540105,0.0005682056,0.00020359423],"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":[0.00026946762,0.00028150933,0.0017615505,0.00013026975,0.000028402925,0.00022940763,0.00011995314,0.8167731,0.025117204,0.0064472435,0.0017455075,0.14709632],"study_design_scores_gemma":[0.0000058960636,0.000032048807,0.00012672214,0.0000035352216,0.0000036186152,0.000019182608,0.000009942481,0.9963331,0.0017304303,0.0014635575,0.00026854416,0.0000033544625],"about_ca_topic_score_codex":0.0016671609,"about_ca_topic_score_gemma":0.0022131316,"teacher_disagreement_score":0.0016671609,"about_ca_system_score_codex":0.0003749232,"about_ca_system_score_gemma":0.0005624973,"threshold_uncertainty_score":0.0039333105},"labels":[],"label_agreement":null},{"id":"W2964297291","doi":"10.1109/tvt.2012.2204076","title":"Power Allocation and Pricing in Multiuser Relay Networks Using Stackelberg and Bargaining Games","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Stackelberg competition; Computer science; Computer network; Relay channel; Game theory; Mathematical optimization; Bargaining problem; Transmitter power output; Power (physics); Microeconomics; Economics; Mathematics; Transmitter","score_opus":0.02073356214646539,"score_gpt":0.2634734184447827,"score_spread":0.24273985629831735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964297291","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026806425,0.00053669343,0.96304464,0.00041369634,0.000061102146,0.000084532876,0.000032715787,0.00007153723,0.008948693],"genre_scores_gemma":[0.91988826,0.000992943,0.07361298,0.00013291917,0.000113232025,0.0002228556,0.000032405806,0.000039702685,0.004964663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99596196,0.002553268,0.00012451244,0.0003350659,0.0006197141,0.00040538103],"domain_scores_gemma":[0.99756265,0.0018103187,0.00021593283,0.00011427668,0.00016841084,0.00012845678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045714444,0.0015721605,0.0020210508,0.0010460687,0.0010973107,0.0035502005,0.0025147973,0.0026424557,0.0021827444],"category_scores_gemma":[0.0073017026,0.000924934,0.0014786477,0.0014939401,0.0026683626,0.004756753,0.00181352,0.001617452,0.00037185434],"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":[0.00009110961,0.00005221328,0.0003020886,0.000063932486,0.000060476,0.0003083761,0.00019342707,0.7007864,0.0010314815,0.2865727,0.0006021188,0.009935658],"study_design_scores_gemma":[0.000020999245,0.000033576485,0.00004168865,0.0000075900693,0.000015133717,0.00004987366,0.00003589385,0.91619986,0.00027588528,0.082727514,0.0005765505,0.000015373183],"about_ca_topic_score_codex":0.0029026375,"about_ca_topic_score_gemma":0.0018931834,"teacher_disagreement_score":0.0045714444,"about_ca_system_score_codex":0.0024997948,"about_ca_system_score_gemma":0.0015159335,"threshold_uncertainty_score":0.02417636},"labels":[],"label_agreement":null},{"id":"W2964630359","doi":"10.1109/tvt.2019.2932907","title":"A Novel SD-Based Detection for Generalized SCMA Constellations","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","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":"Carleton University","funders":"","keywords":"Constellation; Computer science; Electronic engineering; Engineering; Physics","score_opus":0.012334762167909366,"score_gpt":0.22860621143181614,"score_spread":0.2162714492639068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964630359","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":[0.005930494,0.0001390053,0.99215287,0.00012036666,0.00004160355,0.000028737417,0.000042829695,0.00017244622,0.0013716591],"genre_scores_gemma":[0.3698385,0.0003384694,0.62660944,0.00029662467,0.00010741313,0.00010621307,0.00033311898,0.000041751846,0.0023284524],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826485,0.0004858141,0.00009645001,0.00023712411,0.0007564584,0.00015938567],"domain_scores_gemma":[0.997656,0.0008713397,0.00020638853,0.00051140535,0.0006318064,0.00012317431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010963791,0.0006805498,0.0009335201,0.00087390665,0.0004562028,0.0009898532,0.0010424425,0.00075676886,0.0011688888],"category_scores_gemma":[0.005315058,0.00033388365,0.00050856936,0.0011734756,0.0011131858,0.0011084207,0.0021186501,0.0008843245,0.0005280796],"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":[0.00066381774,0.0001677926,0.0036311946,0.00041296112,0.00016219378,0.0004508411,0.00035592343,0.27214012,0.10644377,0.1624305,0.006364124,0.44677672],"study_design_scores_gemma":[0.000029795847,0.00011286855,0.00020537793,0.00002080355,0.000013437729,0.00027224977,0.000021406404,0.9680815,0.013844483,0.014249572,0.003119749,0.000028809256],"about_ca_topic_score_codex":0.0010393636,"about_ca_topic_score_gemma":0.0010349577,"teacher_disagreement_score":0.0011688888,"about_ca_system_score_codex":0.0005659714,"about_ca_system_score_gemma":0.0016465998,"threshold_uncertainty_score":0.0057982802},"labels":[],"label_agreement":null},{"id":"W2965638029","doi":"10.1109/tvt.2019.2931949","title":"Spectrum Sensing Based on Maximum Generalized Correntropy Under Symmetric Alpha Stable Noise","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":49,"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":"Higher Education Discipline Innovation Project; China Scholarship Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Robustness (evolution); Gaussian noise; Signal-to-noise ratio (imaging); Spectrum (functional analysis); Algorithm; Gaussian; Computer science; Noise (video); Spread spectrum; Conjugate gradient method; Mathematics; Electronic engineering; Engineering; Artificial intelligence; Telecommunications; Physics; Code division multiple access","score_opus":0.008685903662385598,"score_gpt":0.2138064653806458,"score_spread":0.2051205617182602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965638029","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":[0.023874432,0.00019913571,0.97463113,0.00008899685,0.000020805086,0.000014741722,0.000015177044,0.00009344151,0.001062118],"genre_scores_gemma":[0.9018523,0.00037316402,0.09632099,0.00010310127,0.00006787318,0.00003605264,0.000050890496,0.0000368469,0.001158886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991708,0.0002761915,0.00003502131,0.00020700984,0.00024758995,0.000063447216],"domain_scores_gemma":[0.9990715,0.00053633313,0.00011824087,0.00010584265,0.00013431799,0.000033666038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007881611,0.0008334157,0.0007399307,0.00045873097,0.00033488366,0.0007135784,0.0007003616,0.00080469187,0.00054065406],"category_scores_gemma":[0.0026737791,0.0002331263,0.00047623005,0.0005006813,0.0010075009,0.0014528669,0.0007705835,0.00046940538,0.00015136604],"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":[0.0005368644,0.000088635905,0.0020404074,0.0003376843,0.00018752628,0.0007455149,0.0003126841,0.6459806,0.09977885,0.080453396,0.001753529,0.1677843],"study_design_scores_gemma":[0.0000056600147,0.000047951315,0.00022825277,0.0000039397673,0.000008726996,0.00012254389,0.000012375348,0.9898671,0.0043734973,0.005075974,0.00024089773,0.000013051243],"about_ca_topic_score_codex":0.0010520403,"about_ca_topic_score_gemma":0.0010553036,"teacher_disagreement_score":0.0010520403,"about_ca_system_score_codex":0.00037109083,"about_ca_system_score_gemma":0.00040848565,"threshold_uncertainty_score":0.004168272},"labels":[],"label_agreement":null},{"id":"W2965838057","doi":"10.1109/tvt.2019.2932191","title":"Delay Analysis in Full-Duplex Heterogeneous Cellular Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Engineering and Physical Sciences Research Council","keywords":"Spectral efficiency; Heterogeneous network; Backhaul (telecommunications); Base station; Computer science; Cellular network; Telecommunications link; Computer network; Stochastic geometry; Quality of service; Single antenna interference cancellation; Efficient energy use; Duplex (building); Wireless; Electronic engineering; Wireless network; Telecommunications; Channel (broadcasting); Engineering; Mathematics; Electrical engineering","score_opus":0.005478124937530084,"score_gpt":0.1958505302132383,"score_spread":0.19037240527570823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965838057","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":[0.13043289,0.002737225,0.8556873,0.0005063301,0.00011540639,0.00005731049,0.00023795964,0.00016651707,0.010059083],"genre_scores_gemma":[0.9843014,0.0014447692,0.009859807,0.000071953975,0.00005716214,0.0000557058,0.00008366013,0.000043875905,0.004081724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967456,0.00007958181,0.0000112401285,0.00006693713,0.00009913047,0.00006859799],"domain_scores_gemma":[0.99836415,0.0010914435,0.00019617908,0.000050937295,0.00022610782,0.00007121709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007686854,0.0005586681,0.0003701492,0.00066636753,0.00033213213,0.0008249446,0.00055135,0.0004423829,0.0010832868],"category_scores_gemma":[0.0028496913,0.00027766408,0.0003350782,0.00049168133,0.00085141667,0.00092093204,0.0005884854,0.00047696874,0.00017304496],"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":[0.000036205605,0.000009138065,0.00063887256,0.000048619895,0.000017982124,0.00011290598,0.000060431455,0.9463918,0.0030215988,0.04591602,0.00033699433,0.0034093973],"study_design_scores_gemma":[0.0000022251363,0.000009218643,0.00013925863,0.000004193156,0.0000042887355,0.000016831142,0.000016476692,0.9937856,0.00029007194,0.005389151,0.0003379992,0.000004663928],"about_ca_topic_score_codex":0.0049350527,"about_ca_topic_score_gemma":0.002193286,"teacher_disagreement_score":0.0049350527,"about_ca_system_score_codex":0.0017610044,"about_ca_system_score_gemma":0.00067536865,"threshold_uncertainty_score":0.0127770305},"labels":[],"label_agreement":null},{"id":"W2969750894","doi":"10.1109/tvt.2019.2935999","title":"Cognitive Risk Control for Anti-Jamming V2V Communications in Autonomous Vehicle Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Jamming; Reinforcement learning; Computer science; Channel (broadcasting); Wireless; Control channel; Process (computing); Cognitive network; Task (project management); Engineering; Computer network; Cognitive radio; Telecommunications; Artificial intelligence; Base station; Systems engineering","score_opus":0.006781747799344868,"score_gpt":0.22293867245531157,"score_spread":0.2161569246559667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969750894","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":[0.08166885,0.00063218485,0.9133582,0.00029094247,0.000059541242,0.000054586086,0.00001470642,0.00012106977,0.0037998308],"genre_scores_gemma":[0.99153894,0.00013109723,0.007660257,0.00002743276,0.000018576313,0.000028146424,0.0000058183887,0.000005287911,0.00058446615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992939,0.00025648365,0.000027895903,0.00012298206,0.00017239312,0.00012637727],"domain_scores_gemma":[0.9987583,0.0007058191,0.00020300689,0.000039149658,0.0002189143,0.00007479004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282364,0.00075146783,0.00057509664,0.0004614074,0.00042767543,0.0009164818,0.00085070834,0.0005336819,0.0007211366],"category_scores_gemma":[0.0029456823,0.00020361482,0.00039817794,0.0003070532,0.0008911407,0.0006562996,0.0009458979,0.000795183,0.000060022856],"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":[0.00007618406,0.000051312156,0.00064458116,0.00004752759,0.000041097468,0.000080245925,0.00010539279,0.9613657,0.0018814725,0.01271598,0.00026766144,0.022722818],"study_design_scores_gemma":[0.000005812146,0.000048674156,0.00014153369,0.0000029652801,0.00000937773,0.000011345766,0.000014306164,0.9955102,0.0002685658,0.0038538377,0.00012828912,0.00000511585],"about_ca_topic_score_codex":0.0064225257,"about_ca_topic_score_gemma":0.0035646171,"teacher_disagreement_score":0.0064225257,"about_ca_system_score_codex":0.001107969,"about_ca_system_score_gemma":0.0011111456,"threshold_uncertainty_score":0.012770295},"labels":[],"label_agreement":null},{"id":"W2969858376","doi":"10.1109/tvt.2019.2936786","title":"A Discounted Stochastic Multiplayer Game Approach for Vehicle-to-Grid Voltage Regulation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical optimization; Grid; Topology (electrical circuits); Network topology; Simulation; Distributed computing; Computer network; Engineering; Mathematics; Electrical engineering","score_opus":0.004858508363839977,"score_gpt":0.19848881540014962,"score_spread":0.19363030703630965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969858376","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":[0.015158935,0.00036180884,0.9733474,0.00038661825,0.0001179947,0.00009842471,0.0001299951,0.00017018708,0.010228701],"genre_scores_gemma":[0.90245754,0.0006173655,0.083943345,0.00023742368,0.000084326944,0.00028468596,0.00016938642,0.0000637861,0.012142103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991227,0.00030830925,0.00003443184,0.00020493938,0.0001547895,0.0001748585],"domain_scores_gemma":[0.9990355,0.00056501187,0.000106820415,0.000026214993,0.00016565148,0.00010083737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011810743,0.0014617668,0.0014812527,0.00065582694,0.00074944645,0.0016750857,0.0024915957,0.0014686693,0.005725424],"category_scores_gemma":[0.0025787507,0.0007031005,0.0011065766,0.0007620676,0.0010766258,0.0014029171,0.0015942749,0.0018215508,0.00048663886],"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":[0.00003856049,0.000033927703,0.00026978095,0.000043302127,0.000030027675,0.00011965466,0.000048175898,0.9636095,0.00043400604,0.02890276,0.0007518505,0.0057185693],"study_design_scores_gemma":[0.000005912497,0.000012445091,0.000024931172,0.0000024352075,0.0000069722273,0.000008281116,0.000009725004,0.99494827,0.000044992372,0.004669859,0.00026140967,0.000004787899],"about_ca_topic_score_codex":0.02022464,"about_ca_topic_score_gemma":0.015233742,"teacher_disagreement_score":0.02022464,"about_ca_system_score_codex":0.0023264915,"about_ca_system_score_gemma":0.002061988,"threshold_uncertainty_score":0.040213823},"labels":[],"label_agreement":null},{"id":"W2971361494","doi":"10.1109/tvt.2019.2939145","title":"Crowd Sensing in Vehicular Networks Using Uncertain Mobility Information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Mobility model; Correctness; Bottleneck; Scheduling (production processes); Channel (broadcasting); Real-time computing; Noise (video); Distributed computing; Computer network; Mathematical optimization; Algorithm; Artificial intelligence; Embedded system","score_opus":0.008928871837124428,"score_gpt":0.22320838013265398,"score_spread":0.21427950829552955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971361494","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":[0.2146223,0.0009998773,0.78072315,0.0005992805,0.00009045928,0.00007847907,0.000111764,0.00014972685,0.002624943],"genre_scores_gemma":[0.9899996,0.0002101577,0.009284764,0.00003449677,0.00002198278,0.0000269972,0.0000364934,0.000011352883,0.00037420026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806744,0.0006437793,0.000079267316,0.00031801075,0.0004877009,0.0004038273],"domain_scores_gemma":[0.99234736,0.00587248,0.00074295164,0.00025994252,0.0005591973,0.00021811733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027047303,0.001232243,0.001131246,0.00091622554,0.00092314626,0.0011925942,0.0016675601,0.0010641204,0.0005588945],"category_scores_gemma":[0.010833226,0.00063429197,0.00053496077,0.000947152,0.0016053825,0.002711623,0.001757894,0.0007640069,0.00008062624],"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":[0.000055600503,0.000010050256,0.00071172067,0.000024934781,0.000017533725,0.00006699585,0.00004023297,0.98913723,0.00061094214,0.006911944,0.00010570106,0.0023071114],"study_design_scores_gemma":[0.000003337226,0.000020523938,0.00022702066,0.000003856613,0.000006708347,0.000018227041,0.000029807696,0.995133,0.00026178703,0.0041910186,0.00009729152,0.000007424776],"about_ca_topic_score_codex":0.011255673,"about_ca_topic_score_gemma":0.006418243,"teacher_disagreement_score":0.011255673,"about_ca_system_score_codex":0.0022936575,"about_ca_system_score_gemma":0.0013328519,"threshold_uncertainty_score":0.022380352},"labels":[],"label_agreement":null},{"id":"W2971758026","doi":"10.1109/tvt.2019.2939073","title":"Impact of Wireless Backhaul Unreliability and Imperfect Channel Estimation on Opportunistic NOMA","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University Belfast; Queen's University; National Foundation for Science and Technology Development","keywords":"Noma; Backhaul (telecommunications); Wireless; Computer science; Computer network; Transmitter; Fading; Channel (broadcasting); Imperfect; Outage probability; Channel state information; Wireless network; Telecommunications link; Telecommunications","score_opus":0.009543968593149885,"score_gpt":0.24700800777526333,"score_spread":0.23746403918211345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971758026","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":[0.13758992,0.0008248394,0.8569326,0.0001653585,0.00006868069,0.000080090445,0.000054282733,0.0001912413,0.0040930915],"genre_scores_gemma":[0.9799573,0.0002477033,0.019229412,0.0000394921,0.000036457855,0.000038682036,0.000012554795,0.000008908594,0.00042943377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858606,0.00056326715,0.000062043415,0.00015132636,0.00039834334,0.00023899859],"domain_scores_gemma":[0.9948548,0.0029690126,0.0008105984,0.00081408914,0.0004202358,0.0001313302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013869262,0.00092387,0.0007453812,0.0005534614,0.00093834044,0.0008552505,0.00090470276,0.00046730865,0.0004168645],"category_scores_gemma":[0.005226171,0.00032323613,0.0004937445,0.00057242595,0.0010230654,0.0011751071,0.0014743606,0.0005406984,0.00010823116],"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":[0.00029802843,0.00012490332,0.0071446896,0.00024427334,0.00016774336,0.0011726652,0.0003770175,0.86511093,0.022679996,0.028425846,0.0005729141,0.07368095],"study_design_scores_gemma":[0.000010138351,0.0001778728,0.0014621898,0.000014225855,0.000049138278,0.00050454517,0.00007024993,0.98797137,0.0038811183,0.0052026687,0.0006310118,0.000025467696],"about_ca_topic_score_codex":0.0014240139,"about_ca_topic_score_gemma":0.0024978325,"teacher_disagreement_score":0.0014240139,"about_ca_system_score_codex":0.00047709534,"about_ca_system_score_gemma":0.0011034333,"threshold_uncertainty_score":0.0073348284},"labels":[],"label_agreement":null},{"id":"W2971784884","doi":"10.1109/tvt.2019.2939779","title":"Secrecy Performance of Small-Cell Networks With Transmitter Selection and Unreliable Backhaul Under Spectrum Sharing Environment","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Eavesdropping; Backhaul (telecommunications); Transmitter; Secrecy; Computer science; Computer network; Transmitter power output; Underlay; Mathematical optimization; Signal-to-noise ratio (imaging); Base station; Telecommunications; Mathematics; Wireless; Computer security","score_opus":0.0034623564865236137,"score_gpt":0.15505562156565408,"score_spread":0.15159326507913046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971784884","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":[0.9124492,0.00070527056,0.08275143,0.0002144465,0.000033905097,0.000029131268,0.000089855464,0.00011329865,0.003613393],"genre_scores_gemma":[0.99863654,0.00012291111,0.0010402477,0.000009237368,0.0000064415563,0.0000059779536,0.000012635888,0.0000034315833,0.00016266921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878675,0.00043408113,0.000034188477,0.00010675411,0.00023899873,0.00039925752],"domain_scores_gemma":[0.99225664,0.0053435573,0.000982436,0.00033465636,0.00085954904,0.00022304234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017626188,0.0011327632,0.00093896326,0.0006538916,0.0009159828,0.0011812431,0.0007861321,0.0007938827,0.00053469645],"category_scores_gemma":[0.006026203,0.0002857633,0.0004230195,0.00082730583,0.0021818827,0.0013230212,0.0013903778,0.00056098076,0.00012439735],"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":[0.00030941932,0.0000349197,0.002089789,0.000054751563,0.00004043056,0.00036992814,0.00010747873,0.98350775,0.0061149113,0.0043107593,0.00013557474,0.002924255],"study_design_scores_gemma":[0.00001142294,0.00012275828,0.00053795736,0.0000047447006,0.00002332116,0.00007727707,0.00006479145,0.9939774,0.003542074,0.0015885604,0.000034311644,0.00001524424],"about_ca_topic_score_codex":0.005471402,"about_ca_topic_score_gemma":0.0029072273,"teacher_disagreement_score":0.005471402,"about_ca_system_score_codex":0.001250874,"about_ca_system_score_gemma":0.00096667506,"threshold_uncertainty_score":0.010879099},"labels":[],"label_agreement":null},{"id":"W2972542837","doi":"10.1109/tvt.2019.2940586","title":"Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications With SWIPT","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":28,"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":"Engineering and Physical Sciences Research Council; Youth Science Foundation of Jiangxi Province; Horizon 2020 Framework Programme; National Natural Science Foundation of China; European Commission","keywords":"Precoding; Unicast; Multicast; Computer science; Iterative method; Codebook; Algorithm; MIMO; Electronic engineering; Mathematical optimization; Topology (electrical circuits); Channel (broadcasting); Mathematics; Telecommunications; Engineering; Computer network","score_opus":0.02905888621464663,"score_gpt":0.2230321456480154,"score_spread":0.19397325943336877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972542837","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009026478,0.00032377077,0.9882536,0.00007191582,0.00002836669,0.00001777285,0.000021140067,0.00007137597,0.002185677],"genre_scores_gemma":[0.6490889,0.0011456629,0.34471822,0.00017635751,0.0000880216,0.00016659053,0.00012378942,0.000041699175,0.004450721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962544,0.00008224042,0.000018139608,0.00006875535,0.00015913056,0.000046355144],"domain_scores_gemma":[0.9997112,0.00010289242,0.0000500107,0.000028179513,0.000095662755,0.00001188154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034323143,0.00068118604,0.00067478704,0.0002531542,0.00027521641,0.00070015236,0.0008088159,0.00060290174,0.0011607817],"category_scores_gemma":[0.00080010307,0.00031818938,0.00042590243,0.0006703387,0.00036082577,0.0008561519,0.00054177165,0.00050060445,0.00034872376],"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":[0.00017367565,0.000115069786,0.00090949464,0.000365443,0.00013580741,0.0003301995,0.00029609562,0.6889748,0.08486214,0.05314591,0.0024620446,0.16822931],"study_design_scores_gemma":[0.000011669812,0.00009706586,0.000094654795,0.000008765284,0.00001834729,0.000101732774,0.00002499313,0.9887551,0.0056144334,0.003871217,0.0013918868,0.000010173621],"about_ca_topic_score_codex":0.0010550623,"about_ca_topic_score_gemma":0.0015041383,"teacher_disagreement_score":0.0011607817,"about_ca_system_score_codex":0.00043671014,"about_ca_system_score_gemma":0.0005884175,"threshold_uncertainty_score":0.003883183},"labels":[],"label_agreement":null},{"id":"W2973289967","doi":"10.1109/tvt.2019.2942095","title":"Task-Driven Relay Assignment in Distributed UAV Communication Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":99,"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":"China Postdoctoral Science Foundation; National University of Defense Technology; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Relay; Computer science; Matching (statistics); Network topology; Transmission (telecommunications); Potential game; Channel (broadcasting); Distributed computing; Computer network; Real-time computing; Mathematical optimization; Nash equilibrium; Telecommunications","score_opus":0.0033957151770257206,"score_gpt":0.18394471155922837,"score_spread":0.18054899638220265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973289967","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":[0.041837566,0.00028421692,0.95594525,0.00016026894,0.000040973027,0.00004510774,0.000029183386,0.000077958146,0.0015795561],"genre_scores_gemma":[0.95498455,0.00030949077,0.04217144,0.000057511996,0.000035456957,0.000084202926,0.00004853542,0.0000269034,0.0022819364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903643,0.00035353677,0.000034137138,0.0002534667,0.00014830759,0.00017410661],"domain_scores_gemma":[0.9987036,0.00070203724,0.00022763455,0.00008899084,0.00017135956,0.00010639723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011184722,0.0008560356,0.0009421845,0.0005224932,0.00067547517,0.0009332,0.0016498365,0.0010637763,0.0011435405],"category_scores_gemma":[0.0030899679,0.00038768115,0.00054764684,0.00077572354,0.00091298856,0.001977057,0.0011548833,0.00077094603,0.00017918064],"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":[0.000055301778,0.000032541568,0.00036292273,0.000047068123,0.00002295182,0.00012961974,0.00007882758,0.9665678,0.0014043875,0.02062633,0.0004081061,0.010264249],"study_design_scores_gemma":[0.000007434153,0.000026431722,0.000049981918,0.0000018343874,0.000004702561,0.00002207194,0.000021722079,0.99293876,0.00024724647,0.006435243,0.00024112615,0.0000035044322],"about_ca_topic_score_codex":0.003052633,"about_ca_topic_score_gemma":0.0015988338,"teacher_disagreement_score":0.003052633,"about_ca_system_score_codex":0.0011140461,"about_ca_system_score_gemma":0.0007074127,"threshold_uncertainty_score":0.008082986},"labels":[],"label_agreement":null},{"id":"W2973372523","doi":"10.1109/tvt.2019.2921444","title":"Toward Dynamic Link Utilization for Efficient Vehicular Edge Content Distribution","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":67,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Backhaul (telecommunications); Computer science; Computer network; Scheduling (production processes); Vehicular ad hoc network; Edge computing; Content delivery; Content distribution; Base station; Enhanced Data Rates for GSM Evolution; Wireless; Wireless ad hoc network; Engineering; Telecommunications","score_opus":0.030133538848366368,"score_gpt":0.242981980017777,"score_spread":0.21284844116941062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973372523","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":[0.13461888,0.00092430256,0.855924,0.0002130637,0.00003227388,0.00004962237,0.00007343355,0.00033728764,0.007827155],"genre_scores_gemma":[0.95606947,0.00039357698,0.041997693,0.00004303596,0.000016880887,0.00002794934,0.000054244076,0.00003326047,0.0013639431],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962664,0.000082604296,0.000009406679,0.000058248334,0.00008508943,0.00013796121],"domain_scores_gemma":[0.9996271,0.00011782415,0.000050710394,0.00004951382,0.00012060286,0.000034115747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004653501,0.00053890917,0.00051141996,0.0007191056,0.00045835093,0.0010082154,0.00094699673,0.00042061953,0.0011127049],"category_scores_gemma":[0.0010836873,0.00021111361,0.0001973466,0.0010099068,0.00031976888,0.000996199,0.00077250396,0.00039028673,0.000298015],"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":[0.0001834127,0.00018493782,0.002386486,0.00012114797,0.000045710534,0.00024597134,0.00017843721,0.7852321,0.041310154,0.054718137,0.0033372343,0.1120563],"study_design_scores_gemma":[0.0000056988524,0.000045762816,0.00027278514,0.0000060102907,0.000011894158,0.00006257524,0.00006982569,0.98694545,0.0038052925,0.007107711,0.0016593118,0.000007786778],"about_ca_topic_score_codex":0.0028133392,"about_ca_topic_score_gemma":0.004131615,"teacher_disagreement_score":0.0028133392,"about_ca_system_score_codex":0.00088569097,"about_ca_system_score_gemma":0.00095790345,"threshold_uncertainty_score":0.006426215},"labels":[],"label_agreement":null},{"id":"W2973627286","doi":"10.1109/tvt.2019.2942334","title":"Joint Multi-User Computation Offloading and Data Caching for Hybrid Mobile Cloud/Edge Computing","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":94,"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":"National Postdoctoral Program for Innovative Talents; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Computer science; Computation offloading; Cache; Cloud computing; Mobile edge computing; Edge computing; Distributed computing; Computation; Enhanced Data Rates for GSM Evolution; Mobile device; Mobile cloud computing; Energy consumption; Server; Computer network; Algorithm; Operating system; Engineering","score_opus":0.029413195919435347,"score_gpt":0.2828706545005834,"score_spread":0.25345745858114804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973627286","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":[0.086776525,0.0007846297,0.9087767,0.00028456756,0.00006338682,0.000059878916,0.00003575755,0.00015991881,0.0030586922],"genre_scores_gemma":[0.95170784,0.00017694866,0.046864,0.00006876841,0.00003372602,0.000032212545,0.000025181356,0.000017739074,0.0010735611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995177,0.00012130977,0.000019743251,0.000111915026,0.00010130756,0.00012804962],"domain_scores_gemma":[0.99956876,0.00019701029,0.0000530246,0.000052864136,0.00007729734,0.000051002455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045137428,0.0007701254,0.0009994359,0.0002749557,0.00068873866,0.0010612801,0.0012025594,0.00082644034,0.0007362429],"category_scores_gemma":[0.00073865766,0.00030085578,0.0004381993,0.00074669725,0.0006211755,0.0011293826,0.00089016306,0.00054445997,0.00010867804],"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":[0.00023223595,0.00012873544,0.001511622,0.000111328605,0.000074558244,0.00035480814,0.00007535155,0.9364677,0.010810367,0.012654556,0.0009949441,0.036583837],"study_design_scores_gemma":[0.0000047217923,0.00002159403,0.0000855014,0.000001699944,0.0000063138423,0.000024238265,0.000013381723,0.9980982,0.0006043033,0.0009996588,0.0001370359,0.0000033605236],"about_ca_topic_score_codex":0.0050080647,"about_ca_topic_score_gemma":0.007788716,"teacher_disagreement_score":0.0050080647,"about_ca_system_score_codex":0.00080251443,"about_ca_system_score_gemma":0.0010017854,"threshold_uncertainty_score":0.00995785},"labels":[],"label_agreement":null},{"id":"W2973751828","doi":"10.1109/tvt.2019.2941512","title":"Performance Analysis of Cooperative NOMA Systems With Adaptive Mode Selection and Subchannel Allocation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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 Waterloo","funders":"","keywords":"Noma; Telecommunications link; Computer science; Selection (genetic algorithm); Mode (computer interface); Channel (broadcasting); Scheme (mathematics); Computer network; Mathematical optimization; Mathematics","score_opus":0.007098419366543297,"score_gpt":0.20424316553702115,"score_spread":0.19714474617047786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973751828","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":[0.21352807,0.004837791,0.7541107,0.0008747439,0.000121390985,0.00012297579,0.00021921824,0.00027732257,0.025907762],"genre_scores_gemma":[0.9905385,0.0007673388,0.0071573826,0.000058509628,0.000059908514,0.00005298835,0.000044250843,0.000018643816,0.0013024398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802834,0.00085928023,0.000055303368,0.00019654036,0.00050615094,0.00035434123],"domain_scores_gemma":[0.994105,0.0037544772,0.0005891061,0.00027749265,0.001151609,0.00012230135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023217285,0.0015733592,0.0010866625,0.0009906797,0.00090171566,0.0014209165,0.0008833379,0.0009918691,0.0016245116],"category_scores_gemma":[0.008292367,0.0004770726,0.0005431647,0.0012329145,0.0012110185,0.0012102402,0.0014615518,0.00085788354,0.00032534217],"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":[0.0001404373,0.000046377736,0.0016435524,0.00013756138,0.00007479689,0.00022364433,0.00023209974,0.9533445,0.0045692152,0.027683381,0.0007389112,0.011165444],"study_design_scores_gemma":[0.0000043273512,0.000049354316,0.0003316415,0.000008168653,0.0000132181885,0.00007230723,0.000049150698,0.99610573,0.0003739304,0.002806458,0.00017631547,0.000009409677],"about_ca_topic_score_codex":0.0062313736,"about_ca_topic_score_gemma":0.0038743252,"teacher_disagreement_score":0.0062313736,"about_ca_system_score_codex":0.0017494614,"about_ca_system_score_gemma":0.0013821754,"threshold_uncertainty_score":0.012693226},"labels":[],"label_agreement":null},{"id":"W2977264914","doi":"10.1109/tvt.2019.2944875","title":"Secrecy Rate Analysis of Satellite Communications With Frequency Domain NOMA","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":42,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Telecommunications link; Noma; Computer science; Secrecy; Spectral efficiency; Transmission (telecommunications); Physical layer; Communications satellite; Computer network; Interference (communication); Signal-to-noise ratio (imaging); Satellite; Telecommunications; Electronic engineering; Wireless; Engineering; Computer security; Channel (broadcasting)","score_opus":0.010353333921360884,"score_gpt":0.22004273150987888,"score_spread":0.20968939758851798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977264914","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":[0.121367894,0.008817224,0.81762296,0.0013109015,0.00022524623,0.00011788261,0.00039922592,0.00035425666,0.04978444],"genre_scores_gemma":[0.97505534,0.0047187316,0.015316251,0.00014939222,0.00020209835,0.0001290902,0.00016292545,0.00006309355,0.004202969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769294,0.00088918384,0.000074586045,0.00018337571,0.0006612203,0.000498706],"domain_scores_gemma":[0.992067,0.005253003,0.0009975927,0.00049337413,0.001053686,0.0001353106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030001937,0.0016601234,0.0012694654,0.0016940983,0.0010773414,0.0018987607,0.0010225042,0.0010951984,0.0029274514],"category_scores_gemma":[0.009761588,0.00056808675,0.0009753002,0.0017987397,0.002370978,0.0018496932,0.0020637154,0.0017178481,0.0008654906],"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":[0.00021833135,0.00004027185,0.0018170454,0.0003474448,0.00010795,0.00067066104,0.0002894973,0.8018554,0.010375932,0.17005284,0.0017822583,0.012442316],"study_design_scores_gemma":[0.000009932602,0.000072055904,0.0005916322,0.000070617076,0.000036086494,0.0002776698,0.000100477344,0.9768272,0.0024718791,0.018534228,0.0009711953,0.000037019287],"about_ca_topic_score_codex":0.0035458514,"about_ca_topic_score_gemma":0.001509078,"teacher_disagreement_score":0.0035458514,"about_ca_system_score_codex":0.002090183,"about_ca_system_score_gemma":0.0015310767,"threshold_uncertainty_score":0.015866756},"labels":[],"label_agreement":null},{"id":"W2979185529","doi":"10.1109/tvt.2019.2944996","title":"Efficiency Enhancement of an Open Cathode Fuel Cell Through a Systemic Management","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Proton exchange membrane fuel cell; Controller (irrigation); Automotive engineering; Fuel efficiency; Fuzzy logic; Engineering; Power management; Power (physics); Test bench; Temperature control; Computer science; Control engineering; Electrical engineering; Fuel cells","score_opus":0.006544399840093684,"score_gpt":0.2151601230259508,"score_spread":0.2086157231858571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979185529","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":[0.301647,0.0012051377,0.6832137,0.00012707377,0.000073685835,0.0000842897,0.00004911869,0.0007487396,0.012851214],"genre_scores_gemma":[0.971387,0.00017610371,0.026481293,0.000022139466,0.000010631044,0.000019282541,0.000018512845,0.0000111376785,0.0018738351],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991107,0.000009858361,0.0000040537575,0.000025423824,0.00004090357,0.000008658984],"domain_scores_gemma":[0.9999604,0.000007936977,0.000007474147,0.000004889536,0.0000148086665,0.0000045163533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013346683,0.00028735062,0.00030591158,0.00018921465,0.0002072162,0.00046564164,0.00049077155,0.00030540337,0.0010058269],"category_scores_gemma":[0.00011720353,0.000099193014,0.00020477206,0.00011571018,0.00017726074,0.0004237167,0.00039617746,0.00019780664,0.00020130834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022340554,0.00019420956,0.0010949692,0.00023019842,0.000031320196,0.00023995725,0.00009016351,0.057263643,0.78801787,0.0066108373,0.00053339935,0.1454701],"study_design_scores_gemma":[0.00003210111,0.0008104288,0.0016530603,0.000022903458,0.000050301885,0.00029173683,0.000049043574,0.56672996,0.42175537,0.0022481007,0.0063215117,0.000035567948],"about_ca_topic_score_codex":0.00026594233,"about_ca_topic_score_gemma":0.0005630173,"teacher_disagreement_score":0.0010058269,"about_ca_system_score_codex":0.00018334157,"about_ca_system_score_gemma":0.00019528551,"threshold_uncertainty_score":0.0033648014},"labels":[],"label_agreement":null},{"id":"W2980322243","doi":"10.1109/tvt.2019.2947375","title":"Ergodic Secrecy Rate of $K$-User MISO Broadcast Channel With Improved Random Beamforming","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","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":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Beamforming; Secrecy; Noma; Transmitter; Artificial noise; Computer science; Ergodic theory; Topology (electrical circuits); Channel (broadcasting); Fading; Computer network; Signal-to-noise ratio (imaging); Telecommunications; Mathematics; Telecommunications link; Computer security","score_opus":0.004578005143059563,"score_gpt":0.1948110092680085,"score_spread":0.19023300412494895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980322243","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":[0.262405,0.0035496554,0.7165635,0.0007278362,0.00015670076,0.00005611298,0.0004559306,0.00054895855,0.015536289],"genre_scores_gemma":[0.9867019,0.0013100122,0.009686374,0.00007987102,0.000059626815,0.000041681116,0.00016371881,0.000051743194,0.0019050024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774015,0.0007492983,0.00008973209,0.00021726737,0.00059801945,0.00060554524],"domain_scores_gemma":[0.99439406,0.0031682749,0.0008023384,0.00052920135,0.000953951,0.0001523036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024322881,0.0018893525,0.0014650802,0.0009494857,0.00085798494,0.0014126054,0.0009198595,0.0009195659,0.0015391808],"category_scores_gemma":[0.0058445614,0.00043623373,0.0009228899,0.0014096777,0.0021501,0.0024863486,0.0017219868,0.0010219032,0.00048686366],"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":[0.00033167767,0.000029350607,0.002269017,0.00020317498,0.00011049835,0.0004288014,0.00017411057,0.9296895,0.008920128,0.047592502,0.0009727737,0.009278448],"study_design_scores_gemma":[0.000012923875,0.000055586675,0.0004481707,0.000022718174,0.000043449854,0.00018775718,0.000067707355,0.9885904,0.004440463,0.005779389,0.00030663982,0.00004483641],"about_ca_topic_score_codex":0.003185135,"about_ca_topic_score_gemma":0.001948266,"teacher_disagreement_score":0.003185135,"about_ca_system_score_codex":0.0015806163,"about_ca_system_score_gemma":0.0013147234,"threshold_uncertainty_score":0.012863338},"labels":[],"label_agreement":null},{"id":"W2980740884","doi":"10.1109/tvt.2019.2947605","title":"A Framework of Multipath Clustering Based on Space-Transformed Fuzzy<i>c</i>-Means and Data Fusion for Radio Channel Modeling","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":13,"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":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cluster analysis; Multipath propagation; Computer science; Fuzzy clustering; Channel (broadcasting); Data mining; Fuzzy logic; Algorithm; Artificial intelligence; Telecommunications","score_opus":0.025632076720078396,"score_gpt":0.25145438100704826,"score_spread":0.22582230428696987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980740884","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013922433,0.00018896705,0.99784946,0.000048151294,0.000021407228,0.0000137272145,0.000019541252,0.00007371979,0.00039276245],"genre_scores_gemma":[0.25187373,0.0009453803,0.7441285,0.00014483657,0.00015541229,0.00023708236,0.0002507616,0.00007066354,0.002193578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880385,0.00025755394,0.000074612566,0.0003311426,0.00043048253,0.00010242072],"domain_scores_gemma":[0.99929714,0.00022979565,0.00009543727,0.00007318323,0.0002728191,0.000031602285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014316986,0.00082950067,0.0010057129,0.0015288674,0.00089220103,0.0010904678,0.0021022742,0.0013096599,0.00094311405],"category_scores_gemma":[0.0025888854,0.00041435106,0.0015628188,0.0022433472,0.001160607,0.0014976014,0.0012099243,0.0015667112,0.0003142713],"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":[0.00006078795,0.000034939523,0.0005114333,0.000109698536,0.00010909394,0.000095577336,0.0001787073,0.8234201,0.0037968582,0.057701346,0.0015374937,0.112443976],"study_design_scores_gemma":[0.0000026569026,0.000017756565,0.00012918959,0.000006476207,0.000009118451,0.000022082624,0.0000115701305,0.990058,0.0007759844,0.008071151,0.0008775865,0.000018444724],"about_ca_topic_score_codex":0.01681621,"about_ca_topic_score_gemma":0.0086191045,"teacher_disagreement_score":0.01681621,"about_ca_system_score_codex":0.0018620349,"about_ca_system_score_gemma":0.0019257271,"threshold_uncertainty_score":0.033436656},"labels":[],"label_agreement":null},{"id":"W2981898533","doi":"10.1109/tvt.2019.2948762","title":"Joint Attitude and Power Optimization for UAV-Aided Downlink Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and 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":false,"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Telecommunications link; Base station; Antenna array; Antenna (radio); Interference (communication); Computer science; Direction of arrival; Power (physics); Transmitter power output; Electronic engineering; Throughput; Real-time computing; Engineering; Telecommunications; Transmitter; Wireless","score_opus":0.00899017391798147,"score_gpt":0.21362830937347385,"score_spread":0.2046381354554924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981898533","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":[0.03916492,0.0005903879,0.95503587,0.00023661354,0.00004795585,0.000025135108,0.000068313624,0.00013366308,0.004697155],"genre_scores_gemma":[0.91762364,0.00050555664,0.07787989,0.000097126875,0.00006701464,0.00007428789,0.00010766274,0.000048683516,0.003596088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951196,0.00017205671,0.000015451822,0.00007964114,0.00011309351,0.00010777821],"domain_scores_gemma":[0.9995559,0.0002306428,0.0000715598,0.000036260866,0.0000790795,0.000026512276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055787025,0.0011943675,0.0008975639,0.0003473362,0.0003609257,0.00086866977,0.00047550676,0.00068924954,0.001475596],"category_scores_gemma":[0.0014647843,0.00041389788,0.00040833378,0.00072579656,0.0005780003,0.0007368785,0.000877131,0.0006691703,0.00039453633],"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":[0.00005059104,0.000030493704,0.0005247338,0.000038792492,0.00002221979,0.000078315024,0.00004758053,0.97436947,0.0026190828,0.0053062863,0.00059581426,0.016316634],"study_design_scores_gemma":[0.000007148924,0.000034099947,0.00011023555,0.0000026639086,0.00000601099,0.00001756087,0.000018544948,0.9971718,0.0005441203,0.0018039198,0.00028030292,0.00000360255],"about_ca_topic_score_codex":0.0029305404,"about_ca_topic_score_gemma":0.0026541562,"teacher_disagreement_score":0.0029305404,"about_ca_system_score_codex":0.0005926072,"about_ca_system_score_gemma":0.0008471697,"threshold_uncertainty_score":0.0058270097},"labels":[],"label_agreement":null},{"id":"W2982632025","doi":"10.1109/tvt.2019.2945934","title":"A Novel Local Motion Planning Framework for Autonomous Vehicles Based on Resistance Network and Model Predictive Control","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":136,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Motion planning; Trajectory; Model predictive control; Kinematics; Control theory (sociology); Process (computing); Control engineering; Engineering; Controller (irrigation); Planner; Computer science; Motion (physics); Control (management); Simulation; Artificial intelligence; Robot","score_opus":0.005170321463289135,"score_gpt":0.19663597890474627,"score_spread":0.19146565744145713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982632025","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":[0.0025529303,0.00012671157,0.9950014,0.000037895432,0.000023550148,0.000023304234,0.000021277125,0.00036052248,0.0018523777],"genre_scores_gemma":[0.6639574,0.0006579261,0.3277931,0.00008244537,0.0000956227,0.0003762001,0.00032227236,0.0001511058,0.006563997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997009,0.00004487264,0.000011695708,0.00008544014,0.00012089033,0.000036253095],"domain_scores_gemma":[0.99987924,0.000031195486,0.000024546638,0.00001384616,0.00003686908,0.000014341434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034740707,0.0009717252,0.00063784805,0.00053545664,0.0004366883,0.0005899508,0.001504508,0.0005301847,0.0019029359],"category_scores_gemma":[0.0004241204,0.00033563512,0.0006294487,0.00041528192,0.00055187684,0.00083708833,0.00091695256,0.00093487266,0.00040153656],"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":[0.00003353988,0.000019951212,0.00017300215,0.00007240954,0.000016180284,0.000098698474,0.00007168363,0.9335198,0.0051641613,0.016899722,0.0009028188,0.043028124],"study_design_scores_gemma":[0.000004602646,0.00002617817,0.00003809777,0.0000032635405,0.0000038283097,0.000012317613,0.0000053954777,0.996666,0.0004137594,0.0016973789,0.0011243582,0.000004773104],"about_ca_topic_score_codex":0.0105462335,"about_ca_topic_score_gemma":0.0077240462,"teacher_disagreement_score":0.0105462335,"about_ca_system_score_codex":0.0005997459,"about_ca_system_score_gemma":0.0012328663,"threshold_uncertainty_score":0.020969689},"labels":[],"label_agreement":null},{"id":"W2982657150","doi":"10.1109/tvt.2019.2950033","title":"A New Energy Management Strategy for Multimode Power-Split Hybrid Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Powertrain; Benchmark (surveying); Multi-mode optical fiber; Computer science; Power (physics); Energy management; Flexibility (engineering); Energy (signal processing); Engineering; Electronic engineering; Mathematics; Physics; Torque; Telecommunications","score_opus":0.006967640504706444,"score_gpt":0.2067411369939898,"score_spread":0.19977349648928336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982657150","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":[0.034844518,0.00016252493,0.9602892,0.00008802028,0.000034144876,0.00005023813,0.000016410757,0.00025390618,0.00426119],"genre_scores_gemma":[0.8351629,0.00013349019,0.16085339,0.00007151187,0.000027739388,0.000120500845,0.00005025599,0.000052366617,0.0035278602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999897,0.000021948777,0.0000054368597,0.000028053912,0.00003467812,0.000012811721],"domain_scores_gemma":[0.9999063,0.000026203337,0.000016438165,0.000010726807,0.00003258894,0.000007791477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031961408,0.0006275316,0.00035373744,0.000444251,0.00031840635,0.0005864682,0.0006228541,0.00032864473,0.0019215498],"category_scores_gemma":[0.00040800206,0.00020089437,0.00031978538,0.0002358858,0.00029161572,0.0006249517,0.0005847285,0.0003903658,0.00025494833],"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":[0.000120395394,0.0000835726,0.0007483534,0.00009512676,0.000041936506,0.000100592,0.00015405826,0.661797,0.036863115,0.027499394,0.0014883984,0.2710081],"study_design_scores_gemma":[0.000007012213,0.000054277494,0.00010700146,0.000004649257,0.0000050466724,0.00001550113,0.000013735768,0.9938182,0.0022711956,0.00260999,0.001088094,0.0000052918444],"about_ca_topic_score_codex":0.0011999421,"about_ca_topic_score_gemma":0.0018180618,"teacher_disagreement_score":0.0019215498,"about_ca_system_score_codex":0.00027505637,"about_ca_system_score_gemma":0.00037890062,"threshold_uncertainty_score":0.0064283013},"labels":[],"label_agreement":null},{"id":"W2983035018","doi":"10.1109/tvt.2019.2951022","title":"Accurate Indoor Localization Assisted With Optimizing Array Orientations and Receiver Positions","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Shaanxi Province Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Multipath propagation; Angle of arrival; Realization (probability); Real-time computing; Orientation (vector space); Calibration; Electronic engineering; Channel (broadcasting); Engineering; Antenna (radio); Telecommunications","score_opus":0.005777989695196722,"score_gpt":0.20083897719576713,"score_spread":0.1950609875005704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983035018","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":[0.01630082,0.00014701516,0.9790213,0.0000857814,0.000045615892,0.000018965819,0.000040625277,0.0018632577,0.0024766908],"genre_scores_gemma":[0.5748751,0.00029901916,0.4211013,0.00015270527,0.00006444487,0.00009461126,0.00020499452,0.0001675339,0.0030402301],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933785,0.0001840605,0.000027656231,0.00014428857,0.00020369384,0.00010240768],"domain_scores_gemma":[0.9991641,0.00015267415,0.00017973926,0.0002362425,0.00022985405,0.000037432572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044570272,0.0011717471,0.00053063117,0.00048411574,0.00033838468,0.000571249,0.0006683558,0.00070254726,0.001115435],"category_scores_gemma":[0.0017238132,0.0003759366,0.00024297349,0.0006183102,0.0004918168,0.0009982061,0.0012566204,0.00070041773,0.0018100344],"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":[0.00036765455,0.00011640766,0.0039699078,0.00026345166,0.00004791693,0.0003517162,0.00041709136,0.23539379,0.25798312,0.011866246,0.0056729536,0.4835497],"study_design_scores_gemma":[0.0000671174,0.00047913997,0.0031385613,0.000048700545,0.0000624153,0.000717285,0.00018078389,0.7602201,0.20864671,0.0043854974,0.021924093,0.0001296235],"about_ca_topic_score_codex":0.00067828776,"about_ca_topic_score_gemma":0.0011731533,"teacher_disagreement_score":0.0011717471,"about_ca_system_score_codex":0.00025425747,"about_ca_system_score_gemma":0.0006331967,"threshold_uncertainty_score":0.0037315488},"labels":[],"label_agreement":null},{"id":"W2984425570","doi":"10.1109/tvt.2019.2953170","title":"New Efficient Transmission Technique for HetNets With Massive MIMO Wireless Backhaul","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Backhaul (telecommunications); MIMO; Base station; Telecommunications link; Computer science; Transmitter power output; Beamforming; Spatial multiplexing; Computer network; Multiplexing; Wireless; Scheduling (production processes); Spectral efficiency; Wireless network; Electronic engineering; Space-division multiple access; Precoding; Channel (broadcasting); Engineering; Mathematical optimization; Telecommunications; Transmitter; Mathematics","score_opus":0.004180519001580419,"score_gpt":0.20258820853868895,"score_spread":0.19840768953710852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984425570","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":[0.00958615,0.00036641647,0.98734856,0.00005056549,0.000043708813,0.000018692845,0.00001940281,0.00011904368,0.0024474098],"genre_scores_gemma":[0.6773271,0.00091773213,0.3175427,0.00019602208,0.00015274677,0.00010994836,0.000101761376,0.00004108728,0.0036109262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979,0.000066758825,0.000009285794,0.000031633735,0.00007159643,0.00003066067],"domain_scores_gemma":[0.9998504,0.000055650893,0.00002367932,0.00003367003,0.000027230984,0.000009367528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028498788,0.0004996203,0.00043420086,0.0003283776,0.00039699225,0.00037161759,0.0005584788,0.0003459827,0.0010865021],"category_scores_gemma":[0.00037699298,0.00020099152,0.00036854573,0.00045755552,0.0002884546,0.00063563936,0.0005775509,0.00040138172,0.00029848985],"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":[0.0001286291,0.00014592221,0.0009372292,0.00037044368,0.00017684807,0.000632062,0.00025238693,0.43568176,0.17617908,0.09171738,0.0041118604,0.28966644],"study_design_scores_gemma":[0.000017082206,0.00017370707,0.0004167318,0.000015565662,0.000046946578,0.00054302695,0.000051016872,0.9709439,0.010608824,0.011550229,0.005607956,0.000024904502],"about_ca_topic_score_codex":0.0004246637,"about_ca_topic_score_gemma":0.00095302635,"teacher_disagreement_score":0.0010865021,"about_ca_system_score_codex":0.0002173914,"about_ca_system_score_gemma":0.00029920813,"threshold_uncertainty_score":0.0036346912},"labels":[],"label_agreement":null},{"id":"W2985957562","doi":"10.1109/tvt.2019.2953281","title":"Capturing the Sparsity and Tracking the Channels for Massive MIMO Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"Western University","funders":"National Natural Science Foundation of China","keywords":"MIMO; Computer science; Channel (broadcasting); Autoregressive model; Overhead (engineering); Spatial correlation; Algorithm; Telecommunications link; Kalman filter; Artificial intelligence; Mathematics; Telecommunications","score_opus":0.007964038588962056,"score_gpt":0.19924146303960918,"score_spread":0.19127742445064713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985957562","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":[0.007816492,0.0001272319,0.99097973,0.00010762255,0.000021797267,0.000012857359,0.000031069045,0.00014811415,0.000755034],"genre_scores_gemma":[0.8007471,0.0006392644,0.1960078,0.00020550346,0.00012703128,0.00009655867,0.00017368118,0.000039445637,0.0019635577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950695,0.00014354665,0.000016980071,0.00008666078,0.00017118985,0.00007454563],"domain_scores_gemma":[0.99883145,0.00057558826,0.00018353947,0.00018530086,0.00016394605,0.000060266044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007417052,0.00063226884,0.0005761467,0.00032055826,0.00052604795,0.00055899227,0.00067706127,0.0006019326,0.00068830623],"category_scores_gemma":[0.003392315,0.0003529258,0.00033563274,0.000576795,0.0007196015,0.0012917209,0.0011743858,0.0010989588,0.00024793253],"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":[0.00016200308,0.00006961137,0.001567825,0.00013128658,0.000040527004,0.00017305271,0.00015623159,0.8016157,0.019008525,0.038031846,0.0022882784,0.13675515],"study_design_scores_gemma":[0.000004412328,0.000025046604,0.00018184789,0.000003975671,0.0000047337144,0.000038124916,0.00000991556,0.99268085,0.0014969239,0.005138044,0.00040755872,0.000008403398],"about_ca_topic_score_codex":0.003069402,"about_ca_topic_score_gemma":0.00465204,"teacher_disagreement_score":0.003069402,"about_ca_system_score_codex":0.00046656953,"about_ca_system_score_gemma":0.0009254938,"threshold_uncertainty_score":0.0061030984},"labels":[],"label_agreement":null},{"id":"W2986118052","doi":"10.1109/tvt.2019.2950874","title":"Optimal Altitude Selection of Aerial Base Stations to Maximize Coverage and Energy Harvesting Probabilities: A Stochastic Geometry Analysis","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","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":"Carleton University","funders":"","keywords":"Energy harvesting; Base station; Stochastic geometry; Backhaul (telecommunications); Computer science; Energy (signal processing); Mathematical optimization; Telecommunications; Mathematics; Statistics","score_opus":0.004141718719382702,"score_gpt":0.19110141648852771,"score_spread":0.186959697769145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986118052","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":[0.1789914,0.00069555425,0.81190884,0.00049733726,0.000036429006,0.000093502706,0.0002226743,0.00020253792,0.0073516513],"genre_scores_gemma":[0.97308326,0.00043008715,0.025235137,0.000050618542,0.000023447477,0.000050662682,0.00008731049,0.000026287265,0.0010132857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995067,0.00019442149,0.000014389797,0.00006451441,0.0001243326,0.000095713265],"domain_scores_gemma":[0.99860436,0.0009042905,0.00021648551,0.00005964223,0.00014631404,0.00006883317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076148217,0.00073207973,0.0006212626,0.000602293,0.00034489395,0.0008054015,0.0006150942,0.00054057344,0.001141613],"category_scores_gemma":[0.0032002223,0.00038292946,0.00046195186,0.00059040904,0.0006629548,0.0007908658,0.00086540444,0.0003627984,0.00022560943],"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":[0.00003455171,0.000014531554,0.0010152567,0.00003287011,0.000019610558,0.000114044306,0.000033002594,0.97943085,0.003762454,0.010219021,0.00034248698,0.004981296],"study_design_scores_gemma":[0.000008255463,0.000042691256,0.00074028573,0.0000050129493,0.000011025381,0.000053908472,0.00003256917,0.9940321,0.0010620074,0.0037274742,0.0002762788,0.000008359447],"about_ca_topic_score_codex":0.002529015,"about_ca_topic_score_gemma":0.001926398,"teacher_disagreement_score":0.002529015,"about_ca_system_score_codex":0.00094755046,"about_ca_system_score_gemma":0.0006618249,"threshold_uncertainty_score":0.0068749785},"labels":[],"label_agreement":null},{"id":"W2986387496","doi":"10.1109/tvt.2019.2952665","title":"Named Data Networking Enabled Power Saving Mode Design for WLAN","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":18,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Hunan Province","keywords":"Computer science; Computer network; State (computer science); Energy consumption; Channel (broadcasting); Power consumption; Wireless; Power (physics); Embedded system; Real-time computing; Engineering; Telecommunications; Electrical engineering","score_opus":0.032095653784244206,"score_gpt":0.25434646770132957,"score_spread":0.22225081391708537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986387496","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":[0.08946344,0.0016712679,0.87924844,0.0006076761,0.00039045943,0.00026922015,0.0002353118,0.0022261473,0.025888],"genre_scores_gemma":[0.9257075,0.0005121956,0.06853802,0.00024950135,0.000063117644,0.00024748396,0.00013363712,0.000077400786,0.0044711973],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997867,0.000048067453,0.000015791367,0.000045569195,0.00007127321,0.0000326636],"domain_scores_gemma":[0.9998584,0.000019055493,0.000025496807,0.000019836927,0.00006213739,0.000015058963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003342018,0.00034870245,0.00020873557,0.00029656437,0.00023065227,0.0005914572,0.0012119631,0.0002894422,0.0019656678],"category_scores_gemma":[0.00037246136,0.0001587491,0.00026906453,0.00018538901,0.00024725904,0.00063843554,0.0005123839,0.00033661537,0.00044593835],"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":[0.00058637536,0.000295024,0.00499777,0.00085533527,0.0001568043,0.0006618305,0.00058951194,0.18546069,0.3660648,0.080612674,0.015282955,0.3444363],"study_design_scores_gemma":[0.00006448987,0.0005682656,0.0011647472,0.00005720197,0.00007444623,0.00033434597,0.00007878087,0.8952518,0.06278089,0.00523153,0.034332342,0.00006119087],"about_ca_topic_score_codex":0.00086998724,"about_ca_topic_score_gemma":0.001188146,"teacher_disagreement_score":0.0019656678,"about_ca_system_score_codex":0.00064074155,"about_ca_system_score_gemma":0.00038204127,"threshold_uncertainty_score":0.006575823},"labels":[],"label_agreement":null},{"id":"W2989231300","doi":"10.1109/tvt.2019.2954233","title":"Uplink Coverage and Capacity Analysis of mMTC in Ultra-Dense Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Path loss; Fading; Computer science; Transmission (telecommunications); Computer network; Rayleigh fading; Scalability; Channel (broadcasting); Bandwidth (computing); Electronic engineering; Distributed computing; Wireless; Telecommunications; Engineering","score_opus":0.0052738763366428345,"score_gpt":0.18547518164561047,"score_spread":0.18020130530896764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989231300","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":[0.3157093,0.0059648305,0.64865494,0.0008296714,0.000092957074,0.0000675418,0.00047588008,0.000386138,0.027818726],"genre_scores_gemma":[0.99329644,0.0011196847,0.004590293,0.0000707207,0.000051511237,0.00003544491,0.00007268087,0.000020508365,0.000742699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993049,0.00021116357,0.00001721869,0.00007372888,0.00019720112,0.00019580201],"domain_scores_gemma":[0.99538064,0.0030492616,0.00051615405,0.00024232133,0.00068443833,0.00012724276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009590225,0.0007053881,0.00072724983,0.0011062298,0.00047991212,0.0011203507,0.0009419628,0.00073708646,0.0011973031],"category_scores_gemma":[0.00672975,0.00033437612,0.0003898195,0.0013515912,0.0013360006,0.0016173227,0.001340247,0.00064484734,0.00021281328],"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":[0.000045223358,0.000021693852,0.0011684132,0.00010134532,0.000019275652,0.0002483618,0.00009523282,0.96652126,0.0027890387,0.022042848,0.00064831163,0.0062989313],"study_design_scores_gemma":[0.0000012406898,0.000014353977,0.00039217595,0.000013135334,0.0000059768695,0.00007679919,0.000040070074,0.99436367,0.0006484862,0.0041983575,0.00023849081,0.0000072098524],"about_ca_topic_score_codex":0.005504391,"about_ca_topic_score_gemma":0.0026876251,"teacher_disagreement_score":0.005504391,"about_ca_system_score_codex":0.0014918467,"about_ca_system_score_gemma":0.0005629102,"threshold_uncertainty_score":0.010944724},"labels":[],"label_agreement":null},{"id":"W2990012747","doi":"10.1109/tvt.2019.2956167","title":"UAV-Assisted Cooperative Communications With Time-Sharing Information and Power Transfer","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":72,"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":"National Natural Science Foundation of China","keywords":"Relay; Maximum power transfer theorem; Computer science; Wireless; Throughput; Transmission (telecommunications); Convergence (economics); Maximization; Optimization problem; Mathematical optimization; Information transfer; Power (physics); Trajectory; Transmitter power output; Computer network; Algorithm; Channel (broadcasting); Telecommunications; Mathematics; Transmitter","score_opus":0.0054186978576964825,"score_gpt":0.18769363771316064,"score_spread":0.18227493985546417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990012747","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":[0.06266571,0.00042952033,0.9329768,0.00009448605,0.000036375473,0.000028012342,0.000028237484,0.0001210995,0.0036197724],"genre_scores_gemma":[0.94637764,0.00022811405,0.050916232,0.000038779588,0.000016826003,0.0000463838,0.000032028925,0.000009774784,0.0023342231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996835,0.000097820805,0.00001566967,0.000074346855,0.00008069852,0.000048051126],"domain_scores_gemma":[0.9996836,0.00014126112,0.000063537926,0.00004235979,0.000054841483,0.000014424209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030934537,0.0005893425,0.00056236703,0.00021782711,0.0003260498,0.0004926905,0.0006814695,0.00056503597,0.0005496633],"category_scores_gemma":[0.000695479,0.00019944672,0.00031322532,0.0005319917,0.00036187764,0.00079719396,0.0007375656,0.0003738783,0.00017133597],"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":[0.00020569885,0.000072167015,0.00087904924,0.00013161825,0.000081499944,0.00033008217,0.00024123446,0.87693065,0.030205252,0.016921246,0.00084784447,0.073153675],"study_design_scores_gemma":[0.000010031195,0.00008500016,0.00012958937,0.0000035130931,0.00001355168,0.00007646,0.000033031945,0.9925338,0.0035612264,0.002702775,0.00084403215,0.00000684711],"about_ca_topic_score_codex":0.0016561033,"about_ca_topic_score_gemma":0.0015318714,"teacher_disagreement_score":0.0016561033,"about_ca_system_score_codex":0.00029020317,"about_ca_system_score_gemma":0.0004045399,"threshold_uncertainty_score":0.0032929778},"labels":[],"label_agreement":null},{"id":"W2990179824","doi":"10.1109/tvt.2019.2956038","title":"Energy Harvesting Wireless Sensor Networks With Channel Estimation: Delay and Packet Loss Performance Analysis","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Network packet; Wireless sensor network; Channel (broadcasting); Computer science; Channel state information; Sink (geography); Context (archaeology); Real-time computing; Performance metric; Node (physics); Energy harvesting; Packet loss; Energy (signal processing); Computer network; Wireless; Engineering; Telecommunications; Mathematics; Statistics","score_opus":0.004040957086162419,"score_gpt":0.181070330876305,"score_spread":0.17702937379014258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990179824","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":[0.1608116,0.005016887,0.82679635,0.0005486992,0.000083900144,0.00013498988,0.00015794157,0.00034395282,0.0061057545],"genre_scores_gemma":[0.9777158,0.0022304568,0.018319096,0.000067384026,0.000055829925,0.0000857458,0.00009022303,0.00003563294,0.0013999415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871385,0.00035765208,0.00006628966,0.00018564974,0.00046261333,0.00021383916],"domain_scores_gemma":[0.9926237,0.005427542,0.00075954996,0.00027597262,0.00083702663,0.000076252385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029448408,0.0009952072,0.0009285428,0.000868024,0.0004318912,0.0010985453,0.0009261157,0.0008320112,0.0006912355],"category_scores_gemma":[0.011778353,0.00028568457,0.00038573032,0.0011512877,0.0009810718,0.0019927495,0.0011506446,0.0007584582,0.00016858056],"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":[0.00015159872,0.000053484644,0.0016990844,0.00013905499,0.000036271027,0.000112965536,0.00006422437,0.9717246,0.0034688932,0.007471827,0.0002838494,0.014794148],"study_design_scores_gemma":[0.0000035797211,0.00006492052,0.00042580743,0.000009993133,0.000016708827,0.000065554166,0.000024970244,0.9963716,0.0013609208,0.0014850026,0.00016113125,0.000009895226],"about_ca_topic_score_codex":0.0028661308,"about_ca_topic_score_gemma":0.0017740501,"teacher_disagreement_score":0.0029448408,"about_ca_system_score_codex":0.0015623374,"about_ca_system_score_gemma":0.0010516569,"threshold_uncertainty_score":0.015573978},"labels":[],"label_agreement":null},{"id":"W2994621832","doi":"10.1109/tvt.2020.3037488","title":"NOMA Versus OMA in Finite Blocklength Regime: Link-Layer Rate Performance","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Noma; Rayleigh fading; Computer science; Physical layer; Channel (broadcasting); Signal-to-noise ratio (imaging); Fading; Channel capacity; Algorithm; Computer network; Electronic engineering; Wireless; Telecommunications; Engineering; Telecommunications link","score_opus":0.029523701302022667,"score_gpt":0.25025760812224784,"score_spread":0.22073390682022517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994621832","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":[0.6384306,0.010587139,0.32305273,0.000705041,0.00018476874,0.00010906317,0.00040864616,0.0005786978,0.025943348],"genre_scores_gemma":[0.9900069,0.000882513,0.008428964,0.00004784128,0.00002409298,0.00003182348,0.000043836197,0.000019744319,0.000514343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806935,0.0007191116,0.00008215688,0.00018967138,0.00044246434,0.00049714115],"domain_scores_gemma":[0.9875935,0.008952906,0.0012890642,0.0008967005,0.0010564429,0.00021155171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002543516,0.0011698573,0.0009243745,0.0008319221,0.00079443364,0.0017649451,0.000959197,0.0010627356,0.0015894203],"category_scores_gemma":[0.013732721,0.00024236592,0.0004520969,0.0010459358,0.0014023861,0.0023893635,0.0018659241,0.00085140293,0.0003099739],"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":[0.0011617504,0.0002189344,0.007103863,0.0006776772,0.00018841511,0.0008292768,0.0003600294,0.83482033,0.037271656,0.06679597,0.00096949737,0.049602617],"study_design_scores_gemma":[0.000028791006,0.0004598375,0.0019575055,0.00007794736,0.000069740425,0.0006470466,0.00032003922,0.96851045,0.014039595,0.01295578,0.0008549279,0.00007824825],"about_ca_topic_score_codex":0.002479716,"about_ca_topic_score_gemma":0.0030081975,"teacher_disagreement_score":0.002543516,"about_ca_system_score_codex":0.0013609993,"about_ca_system_score_gemma":0.001028517,"threshold_uncertainty_score":0.013451517},"labels":[],"label_agreement":null},{"id":"W2995454304","doi":"10.1109/tvt.2019.2958622","title":"Deep Learning-Based Driving Maneuver Prediction System","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":50,"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 Waterloo","funders":"","keywords":"Advanced driver assistance systems; Driving simulator; Vehicle dynamics; Set (abstract data type); Fuse (electrical); Computer science; Engineering; Artificial neural network; Work (physics); Safe driving; Simulation; Artificial intelligence; Control engineering; Automotive engineering","score_opus":0.0028150077038126154,"score_gpt":0.16858926215265754,"score_spread":0.16577425444884492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995454304","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":[0.20660242,0.0012768842,0.74302685,0.00078193686,0.0007047234,0.00029103464,0.004874013,0.027420837,0.015021339],"genre_scores_gemma":[0.92172754,0.00026149463,0.062217373,0.00035506536,0.00006857768,0.00018362002,0.0042030704,0.0000949355,0.010888401],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999811,0.00000946224,0.000012515938,0.000076222655,0.00004705634,0.000043784014],"domain_scores_gemma":[0.9998099,0.000016411926,0.00001995025,0.000018435803,0.000116196614,0.000019200428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020968847,0.000726111,0.00060236215,0.0005839126,0.0003118386,0.00038616903,0.0010077304,0.0005659237,0.0032722123],"category_scores_gemma":[0.00042701513,0.00034137056,0.0004593913,0.00033035234,0.00011848547,0.0005331488,0.0006536564,0.00083872594,0.0018616271],"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":[0.000549842,0.0006697428,0.011359212,0.00018944168,0.00014254834,0.0003982284,0.00009192358,0.1830514,0.03594769,0.0013904842,0.022255726,0.7439537],"study_design_scores_gemma":[0.00001305946,0.000067047404,0.0017331352,0.000007475468,0.000017902981,0.0000373206,0.000008671628,0.9913182,0.0046560015,0.00054604554,0.0015802198,0.000014887457],"about_ca_topic_score_codex":0.014161323,"about_ca_topic_score_gemma":0.015888615,"teacher_disagreement_score":0.014161323,"about_ca_system_score_codex":0.0005894495,"about_ca_system_score_gemma":0.00095494225,"threshold_uncertainty_score":0.02815777},"labels":[],"label_agreement":null},{"id":"W2995502867","doi":"10.1109/tvt.2019.2959308","title":"Learning RSSI Feature via Ranking Model for Wi-Fi Fingerprinting Localization","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":51,"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","funders":"National Key Research and Development Program of China","keywords":"Computer science; Received signal strength indication; Boosting (machine learning); Artificial intelligence; Signal strength; Pattern recognition (psychology); k-nearest neighbors algorithm; Function (biology); Gradient boosting; Data mining; Wireless; Random forest; Telecommunications","score_opus":0.005544197147146781,"score_gpt":0.2016449867393047,"score_spread":0.19610078959215793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995502867","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":[0.01711768,0.0004756185,0.980471,0.00012564882,0.00004904671,0.00002695953,0.000113907234,0.00096022355,0.0006598273],"genre_scores_gemma":[0.79345906,0.0007734009,0.19789524,0.00026453045,0.00016635872,0.00021735787,0.0010336696,0.00015607891,0.006034337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943846,0.00014551522,0.000027384998,0.00016800931,0.00012555697,0.00009506985],"domain_scores_gemma":[0.9993808,0.0002554701,0.000078745245,0.00006596715,0.0001906621,0.000028355342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009449953,0.0010474115,0.0016230119,0.0009190496,0.00032828146,0.000664064,0.0017969086,0.0010483743,0.0015853642],"category_scores_gemma":[0.0021131348,0.0003985216,0.0008204968,0.0011960901,0.0004063255,0.0009954063,0.00056337914,0.0011545407,0.0010237391],"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":[0.00015199755,0.00015066777,0.0025531324,0.00010437408,0.000088287976,0.00010763439,0.00003890493,0.7637308,0.0048121405,0.0030652157,0.0034867525,0.22171007],"study_design_scores_gemma":[0.000003897977,0.000018814353,0.00020312257,0.000003123742,0.000006905419,0.000016665226,0.000002612818,0.99850816,0.0003745596,0.000673204,0.00018417042,0.000004695002],"about_ca_topic_score_codex":0.0064693163,"about_ca_topic_score_gemma":0.005857206,"teacher_disagreement_score":0.0064693163,"about_ca_system_score_codex":0.0005163941,"about_ca_system_score_gemma":0.0007597625,"threshold_uncertainty_score":0.012863278},"labels":[],"label_agreement":null},{"id":"W2998529051","doi":"10.1109/tvt.2019.2962509","title":"Efficient Mode Transition Control for Parallel Hybrid Electric Vehicle With Adaptive Dual-Loop Control Framework","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":86,"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 Victoria","funders":"Beijing Institute of Technology Research Fund Program for Young Scholars; National Natural Science Foundation of China","keywords":"Control theory (sociology); Clutch; Powertrain; Jerk; Controller (irrigation); Engineering; Actuator; Transient (computer programming); Electric vehicle; Vehicle dynamics; Control engineering; Hybrid vehicle; Particle swarm optimization; Computer science; Torque; Power (physics); Automotive engineering; Control (management)","score_opus":0.00449823928646305,"score_gpt":0.19533360727867047,"score_spread":0.1908353679922074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998529051","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":[0.025031013,0.00015840694,0.97140795,0.00007683192,0.000048469214,0.00004074128,0.000015838992,0.00025317314,0.0029674363],"genre_scores_gemma":[0.97718656,0.00008945403,0.0205729,0.000038606824,0.000028264378,0.00010154436,0.000030156247,0.0000148163335,0.0019377191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968815,0.000045949764,0.000016438451,0.00008789027,0.000113458096,0.000048152502],"domain_scores_gemma":[0.9997489,0.00006509566,0.000055112836,0.000017638502,0.000094787545,0.00001851502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050951407,0.0006728945,0.00048531702,0.00030191286,0.00042141174,0.00059026014,0.00090732484,0.00046419757,0.0013376584],"category_scores_gemma":[0.00050273095,0.0002332139,0.0004064985,0.00019000687,0.00054116733,0.00046721578,0.00086379296,0.00074488844,0.00016394876],"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":[0.00025647518,0.00009123352,0.00071857835,0.0001484622,0.000048502585,0.0001650547,0.00019917203,0.8862769,0.020857768,0.010462421,0.001137972,0.07963743],"study_design_scores_gemma":[0.00001320827,0.00006741529,0.00009023838,0.0000024509832,0.0000043128643,0.000010780265,0.000006584429,0.99803776,0.00076060515,0.0006419963,0.0003601218,0.0000045332727],"about_ca_topic_score_codex":0.005265833,"about_ca_topic_score_gemma":0.0030089112,"teacher_disagreement_score":0.005265833,"about_ca_system_score_codex":0.00044287698,"about_ca_system_score_gemma":0.00067917164,"threshold_uncertainty_score":0.01047039},"labels":[],"label_agreement":null},{"id":"W2998799493","doi":"10.1109/tvt.2020.2966996","title":"Security Enhancement Using a Novel Two-Slot Cooperative NOMA Scheme","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council","keywords":"Eavesdropping; Computer science; Relay; Noma; Interference (communication); Base station; Transmission (telecommunications); SIGNAL (programming language); Secrecy; Single antenna interference cancellation; Computer network; Secure transmission; User equipment; Transmitter power output; Multi-user; Electronic engineering; Power (physics); Telecommunications; Telecommunications link; Transmitter; Engineering; Computer security; Channel (broadcasting)","score_opus":0.02667335643396007,"score_gpt":0.2588733531343276,"score_spread":0.2321999967003675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998799493","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0612996,0.0012204519,0.9267615,0.00039508136,0.00025049105,0.00015381059,0.00007048573,0.00037285135,0.00947576],"genre_scores_gemma":[0.923521,0.00053711905,0.072209716,0.00015292279,0.0001377707,0.00013860755,0.000046590092,0.000014091474,0.0032421846],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987363,0.00046293178,0.000060680944,0.00018573434,0.00031408845,0.00024026481],"domain_scores_gemma":[0.9989297,0.00034816223,0.0001580297,0.00025808552,0.00022491565,0.00008104666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094785204,0.001113358,0.0008350035,0.0007101281,0.0011915568,0.00081640895,0.001167301,0.0007932535,0.0011213266],"category_scores_gemma":[0.0014446485,0.000309167,0.00068312435,0.0007809968,0.00093122286,0.0012921644,0.0019393058,0.00082756486,0.00039999138],"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":[0.0015364336,0.00052383606,0.0036008358,0.00071546494,0.00035715176,0.0035857903,0.0015509593,0.2303214,0.28088725,0.22474872,0.008113596,0.24405871],"study_design_scores_gemma":[0.000114072966,0.00058519456,0.0007898571,0.000036634145,0.00012034738,0.0021977304,0.00015057746,0.948019,0.017739808,0.019648254,0.010491956,0.00010652034],"about_ca_topic_score_codex":0.000680177,"about_ca_topic_score_gemma":0.0011337688,"teacher_disagreement_score":0.0011915568,"about_ca_system_score_codex":0.00050557725,"about_ca_system_score_gemma":0.00089711574,"threshold_uncertainty_score":0.0050127506},"labels":[],"label_agreement":null},{"id":"W2999379079","doi":"10.1109/tvt.2020.2967052","title":"A Blockchain-Based Framework for Lightweight Data Sharing and Energy Trading in V2G Network","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":220,"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":"Computer science; Scalability; Blockchain; Distributed computing; Computer network; Database transaction; Computer security; Database","score_opus":0.028448425800694083,"score_gpt":0.2543293931745864,"score_spread":0.22588096737389232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999379079","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":[0.01689078,0.000567632,0.9729953,0.00046171754,0.00012100783,0.00036428173,0.00019273887,0.0011630926,0.007243392],"genre_scores_gemma":[0.75664383,0.0010397771,0.22841859,0.00019178871,0.00009421361,0.0006367096,0.00060216343,0.00012772923,0.0122451205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916995,0.00022421838,0.000063201616,0.0001259804,0.00028863116,0.00012797907],"domain_scores_gemma":[0.9995425,0.00013429907,0.000043757645,0.00010935797,0.000086088636,0.00008414999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010154267,0.00038767123,0.0007096011,0.00054383965,0.0011059211,0.0015018979,0.0017036168,0.0010398602,0.004128173],"category_scores_gemma":[0.001692889,0.0002776326,0.00048344198,0.00095870276,0.00082407723,0.002439335,0.0025533875,0.0009855669,0.0008196543],"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":[0.00041696805,0.00020686584,0.0013054027,0.00028106262,0.00007768737,0.0012375894,0.00043274125,0.41946068,0.015532989,0.3947481,0.010247397,0.15605251],"study_design_scores_gemma":[0.000054872562,0.00007549087,0.0001154577,0.00002446176,0.000015790341,0.00014559811,0.000049568593,0.9257403,0.0021690405,0.057564408,0.014020515,0.000024462764],"about_ca_topic_score_codex":0.007691497,"about_ca_topic_score_gemma":0.007670254,"teacher_disagreement_score":0.007691497,"about_ca_system_score_codex":0.0010349666,"about_ca_system_score_gemma":0.0025994799,"threshold_uncertainty_score":0.015293479},"labels":[],"label_agreement":null},{"id":"W2999502953","doi":"10.1109/tvt.2020.2965796","title":"A New Block-Based Reinforcement Learning Approach for Distributed Resource Allocation in Clustered IoT Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":46,"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; Royal Bank of Canada","funders":"","keywords":"Computer science; Distributed computing; Resource allocation; Scalability; Reinforcement learning; Scheduling (production processes); Computer network; Wireless network; Resource management (computing); Throughput; Wireless; Machine learning; Mathematical optimization; Telecommunications","score_opus":0.013184768160790302,"score_gpt":0.2176754890172343,"score_spread":0.20449072085644399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999502953","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012116818,0.00016042004,0.98585397,0.00012623519,0.000032126412,0.000034383414,0.000017285953,0.00013166477,0.001527052],"genre_scores_gemma":[0.87190765,0.0002117908,0.12383893,0.00018852374,0.000049573868,0.00018424689,0.000059845657,0.000043893593,0.0035155872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953246,0.00014946813,0.000021004511,0.00009712313,0.000115434945,0.0000844856],"domain_scores_gemma":[0.9988219,0.00066774024,0.00013339352,0.000047541882,0.0002465722,0.00008278612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011837042,0.0005384119,0.0011000491,0.00036045103,0.00046972683,0.0005810454,0.0016935647,0.0008928763,0.00194593],"category_scores_gemma":[0.0022304836,0.00031803898,0.0003890093,0.00043892066,0.00076987856,0.00078384246,0.00085696595,0.0008346778,0.00026628157],"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":[0.00004382778,0.000034392324,0.00031633623,0.000026223079,0.000021773725,0.000030365043,0.000033387667,0.9754419,0.0008365792,0.0065943617,0.0004910944,0.0161299],"study_design_scores_gemma":[0.000004233953,0.000008429349,0.000017698412,9.699017e-7,0.0000017294705,0.0000031551326,0.000001398159,0.99908125,0.000050058185,0.0007489561,0.00008072916,0.0000012427718],"about_ca_topic_score_codex":0.006541908,"about_ca_topic_score_gemma":0.005576445,"teacher_disagreement_score":0.006541908,"about_ca_system_score_codex":0.0009670974,"about_ca_system_score_gemma":0.0011289346,"threshold_uncertainty_score":0.013007641},"labels":[],"label_agreement":null},{"id":"W2999936106","doi":"10.1109/tvt.2020.2966765","title":"Performance Enhancement of INS/GNSS/Refreshed-SLAM Integration for Acceptable Lane-Level Navigation Accuracy","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministry of Science and Technology","keywords":"GNSS applications; GNSS augmentation; Computer science; Extended Kalman filter; Sensor fusion; Simultaneous localization and mapping; Inertial navigation system; Kalman filter; Real-time computing; Satellite system; Lidar; Process (computing); Global Positioning System; Artificial intelligence; Remote sensing; Robot; Mobile robot; Geography; Inertial frame of reference; Telecommunications","score_opus":0.026665597964512427,"score_gpt":0.2344814426347169,"score_spread":0.20781584467020447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999936106","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":[0.3178525,0.0008251211,0.6693136,0.00019627502,0.00018345584,0.000087060966,0.000105949315,0.0048464634,0.0065894807],"genre_scores_gemma":[0.85682684,0.00011652519,0.14116691,0.000054450644,0.00002813715,0.000035527602,0.00023375858,0.00006930751,0.001468587],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994622,0.000066282286,0.000022262782,0.00009130796,0.00028780045,0.000070111404],"domain_scores_gemma":[0.99963,0.000036812427,0.000034459084,0.00006927905,0.000208528,0.000020899135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005887451,0.00064995646,0.00055472436,0.00048199945,0.00026928345,0.00053909514,0.00066636567,0.00048762717,0.0010853228],"category_scores_gemma":[0.0010855916,0.00022988493,0.00031151768,0.00045312542,0.00017659675,0.00066430867,0.0007570303,0.00053972495,0.0006901569],"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":[0.00086817116,0.0002673273,0.013011659,0.00022172826,0.00016841375,0.00035487078,0.0003650384,0.17803305,0.20807332,0.002505294,0.003319303,0.59281176],"study_design_scores_gemma":[0.000047155492,0.00027254949,0.008761909,0.00001717271,0.00003767952,0.00021486524,0.00006126334,0.9449931,0.041188918,0.00054234563,0.0038255851,0.000037412905],"about_ca_topic_score_codex":0.0028936148,"about_ca_topic_score_gemma":0.002569813,"teacher_disagreement_score":0.0028936148,"about_ca_system_score_codex":0.00022269475,"about_ca_system_score_gemma":0.00062690116,"threshold_uncertainty_score":0.0057535768},"labels":[],"label_agreement":null},{"id":"W3000181458","doi":"10.1109/tvt.2020.2966122","title":"Hybrid Beamforming for Multi-User Millimeter-Wave Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Institute for Computational Science and Technology; Queen's University; Queen's University Belfast; Royal Society; Australian Research Council; King Fahd University of Petroleum and Minerals; Royal Academy of Engineering; European Research Council; National Science Foundation","keywords":"Beamforming; Computer science; Baseband; Extremely high frequency; Enhanced Data Rates for GSM Evolution; Interference (communication); Radio frequency; Electronic engineering; Computer network; Power (physics); Topology (electrical circuits); Algorithm; Telecommunications; Engineering; Electrical engineering; Bandwidth (computing); Channel (broadcasting)","score_opus":0.036548070155945425,"score_gpt":0.23195576856756556,"score_spread":0.19540769841162015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000181458","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":[0.004724011,0.00024200996,0.9932203,0.00005046959,0.000030147865,0.000009551244,0.000010635528,0.000087866545,0.0016249198],"genre_scores_gemma":[0.54864985,0.0013062375,0.4420687,0.00024367381,0.00020779076,0.00014576192,0.000085474356,0.000052613294,0.00723986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995239,0.0002032028,0.000015673475,0.00006438073,0.0001439012,0.000048850226],"domain_scores_gemma":[0.99961936,0.00022309486,0.00003948508,0.00003600733,0.00006336181,0.000018654082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005989216,0.0007348197,0.00051964354,0.00035732661,0.000246452,0.0006147218,0.00057427963,0.0006454238,0.001509476],"category_scores_gemma":[0.0008509564,0.0002840878,0.00042011117,0.00062127557,0.0004957006,0.0010495081,0.00069064746,0.00046992427,0.0005216688],"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":[0.00013044932,0.000046764573,0.0006511403,0.00013074487,0.000083139865,0.00010520673,0.00005955104,0.79922676,0.019350413,0.032185376,0.0010784632,0.14695199],"study_design_scores_gemma":[0.000010905289,0.00009082902,0.00013595344,0.000008884041,0.00001379652,0.00004760782,0.000015274587,0.9895543,0.00290135,0.0053765937,0.0018336264,0.000010835458],"about_ca_topic_score_codex":0.0007363591,"about_ca_topic_score_gemma":0.0013245802,"teacher_disagreement_score":0.001509476,"about_ca_system_score_codex":0.00040135725,"about_ca_system_score_gemma":0.00030001625,"threshold_uncertainty_score":0.005049765},"labels":[],"label_agreement":null},{"id":"W3000406194","doi":"10.1109/tvt.2020.2965959","title":"Deep Artificial Noise: Deep Learning-Based Precoding Optimization for Artificial Noise Scheme","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Artificial noise; Zero-forcing precoding; Scheme (mathematics); Channel (broadcasting); Deep learning; Noise (video); Computer science; Artificial neural network; Wireless; Artificial intelligence; Algorithm; MIMO; Electronic engineering; Mathematics; Telecommunications; Engineering; Transmitter","score_opus":0.020868967831511823,"score_gpt":0.24262632594441613,"score_spread":0.2217573581129043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000406194","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":[0.014349969,0.00026608506,0.9822051,0.00024144005,0.00004088551,0.000023198469,0.000031642452,0.00008597177,0.002755714],"genre_scores_gemma":[0.8458946,0.0004489588,0.14561689,0.00030124426,0.000074224125,0.00009071089,0.00009287781,0.00004765704,0.007432929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993855,0.00022512946,0.000024057865,0.0001140546,0.00016784729,0.00008335092],"domain_scores_gemma":[0.9990208,0.00058852433,0.00009733613,0.00009670234,0.00014407947,0.000052515115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012126075,0.00084767316,0.0007323442,0.00025246243,0.00031330655,0.0007183292,0.00086999475,0.0011437469,0.0018264924],"category_scores_gemma":[0.0026774984,0.00027998557,0.00034435038,0.0004189035,0.0013965846,0.0013499556,0.0011952269,0.0016057396,0.00027476074],"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":[0.0001223827,0.000040312603,0.00036304365,0.00007320347,0.000032929875,0.00007993902,0.000049079317,0.9090377,0.0034570924,0.056002095,0.00095735944,0.029784953],"study_design_scores_gemma":[0.000004261546,0.00001774346,0.000015375645,0.0000031988814,0.000003229303,0.000010425889,0.0000028488853,0.99462116,0.0004791847,0.004629667,0.00020990684,0.0000029706075],"about_ca_topic_score_codex":0.0017345994,"about_ca_topic_score_gemma":0.0021763938,"teacher_disagreement_score":0.0018264924,"about_ca_system_score_codex":0.0009399224,"about_ca_system_score_gemma":0.0009495486,"threshold_uncertainty_score":0.006819606},"labels":[],"label_agreement":null},{"id":"W3000445876","doi":"10.1109/tvt.2020.2965943","title":"Design of an External-Rotor Direct Drive E-Bike Switched Reluctance Motor","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Switched reluctance motor; Rotor (electric); Stator; Engineering; Control theory (sociology); Wound rotor motor; Reluctance motor; Universal motor; Automotive engineering; AC motor; Power (physics); Induction motor; Operating point; Electric motor; Computer science; Voltage; Electrical engineering; Physics","score_opus":0.011532960101723333,"score_gpt":0.2065826892260625,"score_spread":0.19504972912433916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000445876","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":[0.10792738,0.0008683327,0.87498593,0.00015731144,0.00011039264,0.00038834166,0.00010835207,0.00065846415,0.014795495],"genre_scores_gemma":[0.687007,0.0004812279,0.3028603,0.00006269196,0.000017144814,0.00041872295,0.0001400735,0.000066239016,0.008946568],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999803,0.000034150104,0.000014755223,0.000040703893,0.000088410176,0.000018977835],"domain_scores_gemma":[0.9998964,0.000016347845,0.000022829352,0.000008242837,0.000046470457,0.000009564065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034895173,0.00043310394,0.0004590422,0.00026217458,0.0002338884,0.00047425262,0.00056673685,0.00065996335,0.0016484697],"category_scores_gemma":[0.00025967642,0.000273574,0.00028569874,0.00013881113,0.00021557357,0.00024972728,0.00026528846,0.00029696897,0.0007142111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006264107,0.00018476359,0.0021105183,0.0019659975,0.00016024914,0.00074764766,0.00029146892,0.25137827,0.53286165,0.012168139,0.00197931,0.19552551],"study_design_scores_gemma":[0.00035817336,0.002492651,0.006161597,0.00013747104,0.00019219573,0.0014889737,0.00018055893,0.7425009,0.17344953,0.001656631,0.0712744,0.00010691327],"about_ca_topic_score_codex":0.0005912897,"about_ca_topic_score_gemma":0.00083996606,"teacher_disagreement_score":0.0016484697,"about_ca_system_score_codex":0.00024407521,"about_ca_system_score_gemma":0.00046821873,"threshold_uncertainty_score":0.0055146217},"labels":[],"label_agreement":null},{"id":"W3000901362","doi":"10.1109/tvt.2020.2968354","title":"Multi-Item Auction Based Mechanism for Mobile Data Offloading: A Robust Optimization Approach","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Auction Theory and Applications","field":"Decision Sciences","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":"Université de Montréal; Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Cellular traffic; Cellular network; Mobile broadband; Computer network; Mobile device; Robustness (evolution); Profit maximization; Optimization problem; Mobile telephony; Mobile network operator; Incentive compatibility; Profit (economics); Mobile computing; Distributed computing; Incentive; Wireless; Mobile radio; Microeconomics","score_opus":0.17612358124107122,"score_gpt":0.3480277677747235,"score_spread":0.17190418653365228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000901362","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":[0.0050942716,0.00016963246,0.99254143,0.00012984719,0.00002948341,0.000098462,0.00002929174,0.00009585569,0.0018116747],"genre_scores_gemma":[0.6909038,0.00045592248,0.30315962,0.00017372065,0.00009280116,0.0005432772,0.000114656454,0.00010504724,0.0044511543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737036,0.0013237862,0.00010547205,0.00034579443,0.0004901194,0.00036450184],"domain_scores_gemma":[0.9960406,0.0025428778,0.0005107205,0.00026828793,0.00045425893,0.00018325052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004064162,0.0015806938,0.0029085986,0.0009552243,0.0007101433,0.0026677751,0.003215162,0.0023006313,0.0038091345],"category_scores_gemma":[0.0071422616,0.00092532445,0.0017119048,0.0012645815,0.0015077185,0.0024263416,0.0017933975,0.0023003444,0.0005802305],"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":[0.00011276949,0.0001238703,0.00023342839,0.0001199959,0.00008129976,0.00015638543,0.000052023308,0.9563599,0.0015124574,0.027704565,0.0008196644,0.012723627],"study_design_scores_gemma":[0.000015440772,0.00002856129,0.000027998074,0.00000467909,0.0000075659605,0.000021299507,0.0000075181506,0.9959331,0.0001550037,0.0036217347,0.00016987255,0.000007332418],"about_ca_topic_score_codex":0.0029961388,"about_ca_topic_score_gemma":0.0016047682,"teacher_disagreement_score":0.004064162,"about_ca_system_score_codex":0.0015306132,"about_ca_system_score_gemma":0.0019953516,"threshold_uncertainty_score":0.021493554},"labels":[],"label_agreement":null},{"id":"W3001072634","doi":"10.1109/tvt.2020.2967026","title":"Reinforcement Learning Based PHY Authentication for VANETs","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":109,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Spoofing attack; Computer network; Authentication (law); Reinforcement learning; Vehicular ad hoc network; Network packet; Wireless ad hoc network; Wireless; Computer security; Artificial intelligence; Telecommunications","score_opus":0.02068829875139436,"score_gpt":0.24162563422013555,"score_spread":0.2209373354687412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001072634","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":[0.032060597,0.0003254671,0.9629153,0.0002623007,0.000084218744,0.000052574833,0.000024526307,0.00059777615,0.0036772625],"genre_scores_gemma":[0.9822396,0.000084849664,0.015776958,0.00006096897,0.000015595342,0.000031816773,0.000022680726,0.000016299184,0.0017513292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993395,0.00020812196,0.00003371746,0.00012764521,0.00015687426,0.00013413164],"domain_scores_gemma":[0.9986796,0.00067104615,0.00017096612,0.000121316865,0.0002848749,0.000072172676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011141268,0.00067295507,0.00077674404,0.00037078263,0.00044486922,0.0006960449,0.0009592898,0.0007233484,0.0021171607],"category_scores_gemma":[0.003413796,0.00024280213,0.0003555823,0.00029515065,0.0009182255,0.0009952812,0.001234906,0.0012414982,0.0003772448],"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":[0.00012694905,0.000048008063,0.00075481023,0.000037937287,0.000021142783,0.00007701523,0.00004717348,0.9513997,0.0020285016,0.008873725,0.0006683384,0.03591673],"study_design_scores_gemma":[0.0000039312745,0.000021877699,0.000054568605,0.0000020910804,0.0000024497244,0.000008874239,0.0000046062137,0.9978563,0.00023436485,0.0016688951,0.00013916401,0.0000028670106],"about_ca_topic_score_codex":0.0042658616,"about_ca_topic_score_gemma":0.002656659,"teacher_disagreement_score":0.0042658616,"about_ca_system_score_codex":0.000773658,"about_ca_system_score_gemma":0.00093304436,"threshold_uncertainty_score":0.008482099},"labels":[],"label_agreement":null},{"id":"W3005126905","doi":"10.1109/tvt.2020.2972150","title":"Measurements and Analysis of Propagation Channels in Vehicle-to-Infrastructure Scenarios","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Non-line-of-sight propagation; Fading; Path loss; Channel (broadcasting); Computer science; Link budget; Shadow mapping; Electronic engineering; Algorithm; Simulation; Telecommunications; Engineering; Wireless; Artificial intelligence","score_opus":0.01260351160976203,"score_gpt":0.21220114737486487,"score_spread":0.19959763576510284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005126905","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":[0.8326203,0.0002989207,0.15892547,0.0001311703,0.0000712862,0.0001044756,0.0017936114,0.0014457052,0.0046090423],"genre_scores_gemma":[0.9879447,0.00014079752,0.010943521,0.000019376439,0.0000123471455,0.000038133796,0.00069403334,0.000024508534,0.00018256315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921477,0.00016583533,0.00002952118,0.0001298958,0.00028035586,0.00017959345],"domain_scores_gemma":[0.99897826,0.0003434526,0.00016071898,0.00018941949,0.0002560722,0.000072085975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004530922,0.00058055244,0.0003187128,0.0010055619,0.00046284354,0.0004190381,0.0006836939,0.00057914923,0.0004346044],"category_scores_gemma":[0.0017541359,0.00022145588,0.00019871515,0.0011222,0.0005441487,0.00070835755,0.0005431843,0.00044223238,0.0002234068],"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":[0.0003825065,0.000324122,0.083672605,0.0003442002,0.00017888114,0.0007809571,0.00050173764,0.7194437,0.113143,0.0056935004,0.00319182,0.07234306],"study_design_scores_gemma":[0.0000648736,0.0006093116,0.065525606,0.00003302693,0.00008586474,0.000844083,0.00063621625,0.8494489,0.074665196,0.003166921,0.0047761635,0.00014377665],"about_ca_topic_score_codex":0.003073591,"about_ca_topic_score_gemma":0.0034777233,"teacher_disagreement_score":0.003073591,"about_ca_system_score_codex":0.00037130824,"about_ca_system_score_gemma":0.0005073357,"threshold_uncertainty_score":0.006111443},"labels":[],"label_agreement":null},{"id":"W3005533176","doi":"10.1109/tvt.2020.2973082","title":"A Universal and Reconfigurable Stability Control Methodology for Articulated Vehicles With Any Configurations","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":38,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reconfigurability; Actuator; Control engineering; Powertrain; Vehicle dynamics; Engineering; Axle; Torque; Electronic stability control; Control theory (sociology); Controller (irrigation); Control system; Automotive engineering; Computer science; Control (management); Artificial intelligence","score_opus":0.020407043919289613,"score_gpt":0.20464890406573447,"score_spread":0.18424186014644486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005533176","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008222919,0.000076642296,0.9886701,0.00002486795,0.00001642654,0.000020838394,0.000009289594,0.00022404987,0.0027348043],"genre_scores_gemma":[0.83404785,0.00017407881,0.161673,0.000042323707,0.000033327546,0.00010133525,0.000052844476,0.000052551684,0.0038227662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997831,0.000027561684,0.000010894906,0.00006538415,0.0000789442,0.000034191562],"domain_scores_gemma":[0.999864,0.000019766392,0.00003403676,0.000035471836,0.000034393077,0.00001228001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025040034,0.00048387118,0.0003146311,0.00031839331,0.0003178168,0.00049482886,0.0007412837,0.00032796303,0.0012632844],"category_scores_gemma":[0.00033490028,0.0001891995,0.0005787398,0.00016853491,0.0005962097,0.00041491413,0.0009481884,0.0005807772,0.00024039748],"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":[0.000048837606,0.000043922188,0.0004520121,0.0001146702,0.000036416524,0.00017843043,0.0001572857,0.7514077,0.06545274,0.06969686,0.00074926903,0.111661844],"study_design_scores_gemma":[0.0000083164505,0.00017631994,0.00023844873,0.000016440084,0.00001514497,0.00007993807,0.00002617355,0.9750138,0.009061308,0.011513212,0.003834024,0.000016791442],"about_ca_topic_score_codex":0.0017971017,"about_ca_topic_score_gemma":0.0018000519,"teacher_disagreement_score":0.0017971017,"about_ca_system_score_codex":0.0004063786,"about_ca_system_score_gemma":0.0005526751,"threshold_uncertainty_score":0.004226148},"labels":[],"label_agreement":null},{"id":"W3006016495","doi":"10.1109/tvt.2020.2974005","title":"Lightweight Blockchain Consensus Protocols for Vehicular Social Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":47,"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 Victoria","funders":"","keywords":"Computer science; Blockchain; Scheme (mathematics); Bridge (graph theory); Consensus algorithm; Cryptocurrency; Protocol (science); Distributed computing; Communications protocol; Computer network; Computer security; Algorithm","score_opus":0.01923489402542883,"score_gpt":0.2579258242463448,"score_spread":0.23869093022091598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006016495","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":[0.027444372,0.00039465283,0.96779823,0.00024717383,0.000095851356,0.00015843689,0.000055471544,0.0004254021,0.0033803366],"genre_scores_gemma":[0.8638974,0.0007826724,0.12790842,0.00009418178,0.00010207972,0.0004385797,0.00024581453,0.00006460716,0.006466294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998777,0.0003780962,0.000083368504,0.000114301925,0.0005300875,0.00011722273],"domain_scores_gemma":[0.9983228,0.0007140261,0.00025396433,0.00031343996,0.0002815105,0.00011430597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011390575,0.00046620992,0.0006712586,0.00057350105,0.00080109097,0.0009233649,0.0010339878,0.0007729907,0.0015622125],"category_scores_gemma":[0.0032134068,0.00020911904,0.00030422787,0.00081551593,0.00071209035,0.0019328089,0.0019150795,0.0009000127,0.000449303],"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":[0.00030273275,0.00011067597,0.0007864997,0.00036332465,0.000076489196,0.0004617629,0.0003908797,0.59829473,0.028811377,0.26005304,0.0028275847,0.107520945],"study_design_scores_gemma":[0.000056394223,0.0001523007,0.00014384078,0.0000260517,0.000017623648,0.00009902876,0.00006400536,0.89153653,0.006421404,0.09294655,0.008511929,0.000024377663],"about_ca_topic_score_codex":0.0010547568,"about_ca_topic_score_gemma":0.0013089983,"teacher_disagreement_score":0.0015622125,"about_ca_system_score_codex":0.0007822143,"about_ca_system_score_gemma":0.0010551352,"threshold_uncertainty_score":0.006024003},"labels":[],"label_agreement":null},{"id":"W3009775417","doi":"10.1109/tvt.2020.2978263","title":"Vision-Based Vehicle Detection for VideoSAR Surveillance Using Low-Rank Plus Sparse Three-Term Decomposition","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; Aeronautical Science Foundation of China; National Natural Science Foundation of China","keywords":"Computer science; Target acquisition; Synthetic aperture radar; A priori and a posteriori; Term (time); Artificial intelligence; Decomposition; Radar tracker; Rank (graph theory); Channel (broadcasting); Computer vision; Algorithm; Radar; Real-time computing; Mathematics","score_opus":0.014730538812271167,"score_gpt":0.2662522734216613,"score_spread":0.25152173460939015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009775417","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012785007,0.00014691713,0.98597705,0.00007750129,0.000032990294,0.000021153957,0.000052236253,0.00019430419,0.0007129123],"genre_scores_gemma":[0.19514969,0.00038414297,0.80060947,0.00011320957,0.00008001147,0.00009112898,0.00056876865,0.00005958913,0.0029440557],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997167,0.00005785838,0.000013096891,0.00006586332,0.0001162239,0.000030214962],"domain_scores_gemma":[0.99976116,0.00005662495,0.000045124598,0.00003397411,0.000082448234,0.00002061546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033996475,0.00079661375,0.00045601002,0.00059179973,0.00023059179,0.00045502305,0.0005383908,0.0005905306,0.0011226385],"category_scores_gemma":[0.0008088062,0.00022746024,0.00055493275,0.0004775085,0.00026003591,0.0007376461,0.00064492575,0.0008768239,0.0006973725],"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":[0.0002851248,0.00016047557,0.0018449685,0.00022701822,0.00008537437,0.00011689362,0.00012223238,0.10816584,0.18305184,0.011004672,0.004592431,0.69034314],"study_design_scores_gemma":[0.000012742701,0.00014339916,0.0008776731,0.000010051153,0.000016987813,0.00014296015,0.000030474253,0.9724885,0.021086078,0.0020309067,0.0031446798,0.000015417583],"about_ca_topic_score_codex":0.0009356301,"about_ca_topic_score_gemma":0.0015519336,"teacher_disagreement_score":0.0011226385,"about_ca_system_score_codex":0.00019467053,"about_ca_system_score_gemma":0.00057413545,"threshold_uncertainty_score":0.0037555695},"labels":[],"label_agreement":null},{"id":"W3010742418","doi":"10.1109/tvt.2020.2979434","title":"Delay Minimization for Massive MIMO Assisted Mobile Edge Computing","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mobile edge computing; Computer science; Computational complexity theory; Base station; MIMO; Mathematical optimization; Convex optimization; Wireless; Channel state information; Resource allocation; Optimization problem; Minification; Enhanced Data Rates for GSM Evolution; Iterative method; Channel (broadcasting); Algorithm; Regular polygon; Computer network; Mathematics; Telecommunications","score_opus":0.01921008191638767,"score_gpt":0.24734470176185636,"score_spread":0.22813461984546868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010742418","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":[0.016647981,0.0004488054,0.97663134,0.00023405184,0.00007035047,0.000031345757,0.00007933809,0.00013479205,0.0057221213],"genre_scores_gemma":[0.8678776,0.00073903013,0.12440245,0.00018322642,0.00009579192,0.00010136572,0.00013429622,0.00007394013,0.0063922396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997391,0.00006349142,0.0000074130335,0.00004977438,0.000077590965,0.000062649175],"domain_scores_gemma":[0.99964213,0.00022028152,0.000032119973,0.000021410027,0.000060718492,0.000023233053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035297964,0.00092595775,0.00049400365,0.00021058026,0.00032679792,0.0008267018,0.00058255007,0.00053628534,0.0018453846],"category_scores_gemma":[0.00092942256,0.00022881932,0.00028292928,0.00050889666,0.0005021938,0.0005402914,0.0006878243,0.00060785544,0.00035627725],"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":[0.00008910155,0.000033627613,0.00023948136,0.00010404873,0.000018393755,0.00011558374,0.000050018392,0.9450565,0.007429454,0.01880178,0.0021037844,0.025958207],"study_design_scores_gemma":[0.0000032877645,0.000022675516,0.000044572866,0.0000035994672,0.000002742096,0.000017412736,0.000010143564,0.9956955,0.000767528,0.002977558,0.00045229102,0.0000026740424],"about_ca_topic_score_codex":0.0017200656,"about_ca_topic_score_gemma":0.002669976,"teacher_disagreement_score":0.0018453846,"about_ca_system_score_codex":0.00086191104,"about_ca_system_score_gemma":0.00081726594,"threshold_uncertainty_score":0.0062536597},"labels":[],"label_agreement":null},{"id":"W3010791201","doi":"10.1109/tvt.2020.2982178","title":"Performance Analysis and Enhancement of Beamforming Training in 802.11ad","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":21,"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 Waterloo","funders":"","keywords":"Beamforming; Electronic engineering; Computer science; Training (meteorology); Engineering; Physics","score_opus":0.017631044742176118,"score_gpt":0.21047500068606934,"score_spread":0.19284395594389322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010791201","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":[0.19217914,0.0026099875,0.7909454,0.00035469857,0.00006055129,0.00007084431,0.000073618954,0.0006396193,0.01306607],"genre_scores_gemma":[0.9683546,0.0010465591,0.029213473,0.00005542737,0.000028435838,0.000034844303,0.00004611219,0.000026420495,0.0011941369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985771,0.00041183978,0.000049761118,0.00012633263,0.00060503685,0.00022984305],"domain_scores_gemma":[0.997673,0.0012881445,0.0002324001,0.00021612855,0.00055417523,0.000036150894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015518323,0.00097393757,0.0004513057,0.0006009864,0.00037847043,0.00071800954,0.0005660202,0.0004909154,0.0008366195],"category_scores_gemma":[0.004221018,0.00028087696,0.00030204732,0.0007002969,0.0006355443,0.0011052507,0.00062459824,0.00054246694,0.0002523154],"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":[0.0003408857,0.00014273371,0.00585086,0.0002326761,0.000061785344,0.00026148002,0.00019177911,0.7922192,0.052843243,0.026729658,0.000875859,0.12024975],"study_design_scores_gemma":[0.0000055584296,0.00014461335,0.00096159696,0.00001197523,0.000021017102,0.00013126762,0.000027743055,0.9881066,0.008752027,0.0012416902,0.0005821763,0.0000137076895],"about_ca_topic_score_codex":0.0027477199,"about_ca_topic_score_gemma":0.0024614786,"teacher_disagreement_score":0.0027477199,"about_ca_system_score_codex":0.0009497961,"about_ca_system_score_gemma":0.0008191262,"threshold_uncertainty_score":0.008207023},"labels":[],"label_agreement":null},{"id":"W3011346430","doi":"10.1109/tvt.2020.2979623","title":"Route Planning and Power Management for PHEVs With Reinforcement Learning","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":51,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Energy management; Energy consumption; Control theory (sociology); Engineering; Power management; Computer science; Convergence (economics); Control engineering; Control (management); Power (physics); Automotive engineering; Energy (signal processing); Artificial intelligence; Mathematics; Electrical engineering","score_opus":0.008777181653649671,"score_gpt":0.2015746898586147,"score_spread":0.19279750820496505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011346430","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":[0.023015028,0.00019786254,0.9733097,0.0001390026,0.000052411953,0.000039492577,0.000017585127,0.0003055511,0.0029232637],"genre_scores_gemma":[0.96491057,0.000096197014,0.032960147,0.000050169292,0.000029046476,0.000064242624,0.000031289863,0.000019513922,0.0018387752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972564,0.00006476849,0.000012009451,0.0000891943,0.0000627334,0.000045638608],"domain_scores_gemma":[0.99965096,0.00013476913,0.00007804199,0.000034223413,0.00007693398,0.000025007721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045971677,0.000739463,0.00055688206,0.00022031901,0.00035212413,0.0005114402,0.00088612945,0.00064219785,0.0011429818],"category_scores_gemma":[0.0010762926,0.0002457797,0.000349183,0.00019722036,0.00062894134,0.0005300541,0.0005759227,0.0009162727,0.00019038428],"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":[0.000042912252,0.000036379926,0.00039731426,0.00003504123,0.00001854069,0.00006361585,0.000039113802,0.9680263,0.0023413233,0.0040548495,0.00034738492,0.024597213],"study_design_scores_gemma":[0.000008104219,0.000024695795,0.000068958485,0.000001969271,0.000003550828,0.000009413403,0.0000042908678,0.9980666,0.00033344445,0.001187236,0.00028912886,0.0000026278174],"about_ca_topic_score_codex":0.005955062,"about_ca_topic_score_gemma":0.0046641044,"teacher_disagreement_score":0.005955062,"about_ca_system_score_codex":0.00052356505,"about_ca_system_score_gemma":0.00071761664,"threshold_uncertainty_score":0.01184082},"labels":[],"label_agreement":null},{"id":"W3012333974","doi":"10.1109/tvt.2020.2980777","title":"DAPA: A Decentralized, Accountable, and Privacy-Preserving Architecture for Car Sharing Services","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of New Brunswick; University of Waterloo","funders":"","keywords":"Computer security; Accountability; Server; Single point of failure; Service provider; Computer science; Verifiable secret sharing; Information privacy; Service (business); Secret sharing; Internet privacy; Cryptography; Computer network; Business; Law","score_opus":0.01404856140169075,"score_gpt":0.23726524651607467,"score_spread":0.22321668511438392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012333974","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":[0.098337,0.0005398686,0.88305503,0.00072539155,0.00015604803,0.0006696531,0.00032706358,0.0095503945,0.006639509],"genre_scores_gemma":[0.8559304,0.0002268183,0.13734166,0.00019399927,0.000048208974,0.0003580276,0.0003962829,0.000099765835,0.0054048626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900216,0.00021111651,0.00006953145,0.00023535112,0.0003194155,0.00016249396],"domain_scores_gemma":[0.9988324,0.00015571133,0.00014248134,0.00041360583,0.00026714333,0.00018857772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010445307,0.0005274088,0.00055298756,0.00048045564,0.0013004688,0.0016811009,0.0031061869,0.0010653406,0.0023464542],"category_scores_gemma":[0.0014965144,0.00042051103,0.00057078694,0.0006124971,0.0010557239,0.0027397366,0.0034676574,0.0015650473,0.0007669211],"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":[0.0018009751,0.00088660413,0.009935033,0.0007731579,0.00033488005,0.0015902312,0.001101375,0.46910757,0.06870843,0.17695594,0.028335158,0.24047066],"study_design_scores_gemma":[0.0001269879,0.0002527709,0.001007174,0.000018382241,0.000065221815,0.0003418966,0.00008816251,0.94472075,0.009521951,0.018286461,0.025510881,0.00005946595],"about_ca_topic_score_codex":0.0041622026,"about_ca_topic_score_gemma":0.0028474864,"teacher_disagreement_score":0.0041622026,"about_ca_system_score_codex":0.0012554491,"about_ca_system_score_gemma":0.0027444947,"threshold_uncertainty_score":0.009108961},"labels":[],"label_agreement":null},{"id":"W3013377562","doi":"10.1109/tvt.2020.2982391","title":"A Critical MTC Resource Allocation Approach for LTE Networks With Finite Blocklength Codes","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":8,"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 Ottawa; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; American University","keywords":"Computer science; Puncturing; 3rd Generation Partnership Project 2; Scheduling (production processes); Queueing theory; Network packet; Computer network; Distributed computing; Dynamic priority scheduling; Mathematical optimization; Telecommunications link; Quality of service; Telecommunications","score_opus":0.013024295704525029,"score_gpt":0.22523853509157346,"score_spread":0.21221423938704842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013377562","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":[0.0055930647,0.00032145082,0.99027854,0.00011904029,0.000056056528,0.00005170946,0.00002715809,0.00008922,0.0034637598],"genre_scores_gemma":[0.7225386,0.00087321043,0.26990774,0.0002681299,0.00016114119,0.00024429898,0.00009556081,0.000089920846,0.005821381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945205,0.00015694281,0.0000202929,0.00007814278,0.00020439124,0.00008830382],"domain_scores_gemma":[0.999298,0.0003455153,0.00008032754,0.00005996241,0.00017533089,0.000040942556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007104916,0.0008405449,0.00053045136,0.00072231854,0.00067767326,0.000822431,0.0009812046,0.00060377206,0.0029784886],"category_scores_gemma":[0.002401362,0.00027399661,0.00039278078,0.00089741155,0.0009551926,0.0008990472,0.00087204925,0.00085959403,0.00053289527],"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":[0.0001112958,0.000048359143,0.00027126726,0.000110301175,0.00002375437,0.00015575117,0.000103080114,0.82282096,0.0068680607,0.09563458,0.0029640214,0.070888534],"study_design_scores_gemma":[0.000004873043,0.000024548119,0.00002844969,0.000007223641,0.0000046096147,0.000037961887,0.000011732968,0.98883295,0.000829349,0.009273301,0.00093879685,0.0000062598565],"about_ca_topic_score_codex":0.0052230214,"about_ca_topic_score_gemma":0.0048154667,"teacher_disagreement_score":0.0052230214,"about_ca_system_score_codex":0.0014215249,"about_ca_system_score_gemma":0.0021484105,"threshold_uncertainty_score":0.010385275},"labels":[],"label_agreement":null},{"id":"W3014612047","doi":"10.1109/tvt.2020.2984621","title":"BSFP: Blockchain-Enabled Smart Parking With Fairness, Reliability and Privacy Protection","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Natural Science Foundation of China","keywords":"Computer security; Reliability (semiconductor); Computer science; Encryption; Work (physics); Internet privacy; Business; Engineering","score_opus":0.014387485366706544,"score_gpt":0.211387083940361,"score_spread":0.19699959857365446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014612047","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":[0.11535953,0.00057621044,0.86480105,0.0009191125,0.00020908781,0.00054264267,0.00081245287,0.0048928214,0.011887124],"genre_scores_gemma":[0.95298636,0.0001705604,0.04208022,0.00014505384,0.00003507626,0.00017779284,0.0003495876,0.000055948523,0.0039993855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982659,0.00043455043,0.00011398574,0.0002938978,0.0005628431,0.00032881048],"domain_scores_gemma":[0.9970969,0.0007892398,0.00031229138,0.00095072616,0.0005714506,0.0002794414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017036637,0.000499407,0.000860578,0.0006136666,0.0012166372,0.001284091,0.0017166024,0.0011474409,0.0043317983],"category_scores_gemma":[0.004503775,0.0002992829,0.00039958186,0.0009164338,0.0012846562,0.0028329324,0.002992075,0.0010231765,0.0011147301],"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":[0.0019913416,0.00045184747,0.006367691,0.00052714546,0.00013062842,0.001269111,0.0008345053,0.5369347,0.032391045,0.14515144,0.014579857,0.2593707],"study_design_scores_gemma":[0.00014931955,0.00019969256,0.00043701596,0.00002822008,0.00001920594,0.00029847692,0.0000693411,0.9181318,0.009380674,0.06082642,0.010414496,0.00004517343],"about_ca_topic_score_codex":0.003833017,"about_ca_topic_score_gemma":0.004601482,"teacher_disagreement_score":0.0043317983,"about_ca_system_score_codex":0.0009438683,"about_ca_system_score_gemma":0.0032183682,"threshold_uncertainty_score":0.01449132},"labels":[],"label_agreement":null},{"id":"W3015119094","doi":"10.1109/tvt.2020.2983569","title":"Efficient Resource Allocation in SCMA-Enabled Device-to-Device Communication for 5G Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":46,"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; Ryerson University","keywords":"Codebook; Computer science; Cellular network; Resource allocation; Telecommunications link; Spectral efficiency; Distributed computing; Computer network; Scheme (mathematics); Channel (broadcasting); Algorithm","score_opus":0.017603321040598068,"score_gpt":0.2429434575304724,"score_spread":0.22534013648987433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015119094","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":[0.047173187,0.0014954751,0.94460905,0.00021651923,0.00006690031,0.00006383301,0.000056704182,0.0002479528,0.0060704257],"genre_scores_gemma":[0.9308812,0.0005803798,0.06706826,0.000087611035,0.000028206186,0.0000681012,0.000049644616,0.000019008987,0.0012175734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995388,0.00014287258,0.000016578953,0.00006293511,0.0001445334,0.00009430629],"domain_scores_gemma":[0.9997186,0.00012280668,0.00003773774,0.000031229047,0.000064673106,0.000024897206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040534826,0.0006088588,0.0005192361,0.00039709004,0.00050639454,0.0007299035,0.0008585021,0.0005011375,0.0009090126],"category_scores_gemma":[0.001057431,0.00022269497,0.00026487323,0.00078121165,0.00058094016,0.0007878991,0.00089954067,0.0004596679,0.00022468185],"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":[0.00013553684,0.00006505586,0.00065791747,0.0001138908,0.00003633374,0.00023383852,0.00012230041,0.86895865,0.01739729,0.028663991,0.002191208,0.08142403],"study_design_scores_gemma":[0.0000072899934,0.000037895283,0.00008136947,0.000005140414,0.0000052673263,0.000043650787,0.000024040959,0.9929717,0.0015386838,0.004487964,0.00078887434,0.000008156825],"about_ca_topic_score_codex":0.0038328532,"about_ca_topic_score_gemma":0.005369023,"teacher_disagreement_score":0.0038328532,"about_ca_system_score_codex":0.0007508594,"about_ca_system_score_gemma":0.0011756496,"threshold_uncertainty_score":0.00762105},"labels":[],"label_agreement":null},{"id":"W3015795817","doi":"10.1109/tvt.2020.2986088","title":"Secrecy Rate Maximization via Radio Resource Allocation in Cellular Underlaying V2V Communications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":37,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Resource allocation; Cellular network; Artificial noise; Transmitter power output; Signal-to-interference-plus-noise ratio; Wireless; Signal-to-noise ratio (imaging); Interference (communication); Secrecy; Telecommunications link; Transmitter; Power (physics); Telecommunications; Channel (broadcasting)","score_opus":0.014366244652304367,"score_gpt":0.20410485506633483,"score_spread":0.18973861041403045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015795817","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":[0.13244359,0.0009762132,0.8581969,0.0003214413,0.00004419818,0.000055117373,0.00010265199,0.00019584237,0.007664114],"genre_scores_gemma":[0.97223943,0.00041503753,0.025530893,0.000051329407,0.000020650361,0.000044974087,0.000048724538,0.000025175494,0.001623929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989304,0.0005070596,0.000030845764,0.00011454736,0.0001707208,0.00024642525],"domain_scores_gemma":[0.99841046,0.0011128956,0.00017760521,0.000077032644,0.00015961292,0.00006243662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011377301,0.000870272,0.0009136856,0.0005547104,0.00057861296,0.001229848,0.00080326915,0.0008812983,0.0011240848],"category_scores_gemma":[0.0025702056,0.00045091953,0.00058519066,0.0012758638,0.0011186161,0.0012097383,0.0012940717,0.0005423093,0.0003073572],"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":[0.00007540396,0.000014314554,0.0003360695,0.000039748888,0.000023159511,0.00011735131,0.000060970764,0.9777543,0.0022928563,0.0117741525,0.00040182055,0.0071098097],"study_design_scores_gemma":[0.000005256467,0.000019524763,0.00007595768,0.000002903866,0.000005574378,0.000028308998,0.000028306595,0.9937448,0.0010259551,0.004831706,0.00022568126,0.000006041796],"about_ca_topic_score_codex":0.0046706744,"about_ca_topic_score_gemma":0.0031300427,"teacher_disagreement_score":0.0046706744,"about_ca_system_score_codex":0.0012694793,"about_ca_system_score_gemma":0.00088692986,"threshold_uncertainty_score":0.009287},"labels":[],"label_agreement":null},{"id":"W3016440802","doi":"10.1109/tvt.2020.2987028","title":"Variable-Frequency Critical Soft-Switching of Wide-Bandgap Devices for Efficient High-Frequency Nonisolated DC-DC Converters","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Science Foundation","keywords":"Inductor; Converters; Inductance; Capacitor; Voltage; Materials science; Pulse-width modulation; Automatic frequency control; Electronic engineering; Control theory (sociology); Engineering; Electrical engineering; Computer science","score_opus":0.009237448201425304,"score_gpt":0.2214197197010285,"score_spread":0.2121822714996032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016440802","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":[0.15048102,0.0010693261,0.8386057,0.00011092863,0.000092733324,0.00006590883,0.00003229519,0.00038751293,0.009154577],"genre_scores_gemma":[0.9560913,0.00018719926,0.042299267,0.00003698306,0.000028051478,0.000032930926,0.00001953403,0.000024782788,0.0012800222],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987614,0.000012394853,0.000007800371,0.000026759713,0.00006337876,0.000013528829],"domain_scores_gemma":[0.9998859,0.000032953427,0.00002674482,0.000019926058,0.000027048234,0.0000074541226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012144434,0.00030812237,0.00021012197,0.00029146034,0.00020836432,0.00046004954,0.00054237,0.00018296315,0.0009796185],"category_scores_gemma":[0.00019812166,0.00010497934,0.00015564954,0.00014256827,0.0003028068,0.0004353122,0.00023802824,0.00031800015,0.00015884949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002084622,0.00010967066,0.00076703983,0.0003868124,0.000029023993,0.0002534657,0.00022776012,0.02281631,0.7630931,0.03956941,0.0009388823,0.17159997],"study_design_scores_gemma":[0.00007491025,0.00046773962,0.0018028258,0.000088386376,0.000044952125,0.0006245459,0.00008549652,0.45249704,0.51525295,0.01318103,0.015839983,0.000040064606],"about_ca_topic_score_codex":0.00018860691,"about_ca_topic_score_gemma":0.00045679964,"teacher_disagreement_score":0.0009796185,"about_ca_system_score_codex":0.0003076838,"about_ca_system_score_gemma":0.00016936084,"threshold_uncertainty_score":0.0032771826},"labels":[],"label_agreement":null},{"id":"W3016654020","doi":"10.1109/tvt.2020.2986966","title":"An Improved Mutual Inductance Electromagnetic Model for Inductive Power Transfer Systems Under Misalignment Conditions","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Power Transfer Systems","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":"University of Toronto","funders":"","keywords":"Electromagnetic coil; Inductance; Superposition principle; Topology (electrical circuits); Electronic engineering; Maximum power transfer theorem; Electromagnetic field; Computational electromagnetics; Finite element method; Transmitter; Transfer function; Voltage; Engineering; Computer science; Electrical engineering; Power (physics); Control theory (sociology); Physics; Mathematics; Mathematical analysis; Structural engineering","score_opus":0.01395761045681829,"score_gpt":0.22380666214035588,"score_spread":0.2098490516835376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016654020","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":[0.013678902,0.00035208106,0.97269094,0.00013572749,0.000060538987,0.000054355416,0.00011994116,0.0007271551,0.01218039],"genre_scores_gemma":[0.88001496,0.0012180759,0.08807249,0.00016748263,0.000103610415,0.0002599311,0.00037549977,0.00031968066,0.02946814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997515,0.000060736947,0.000011501707,0.000045257333,0.00010659555,0.000024350624],"domain_scores_gemma":[0.99983084,0.000055779503,0.000030585437,0.0000284824,0.000048084432,0.0000061761802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024502605,0.0006222376,0.00050842634,0.00051691436,0.0003305001,0.000585471,0.001219036,0.0008822553,0.002914317],"category_scores_gemma":[0.00061043235,0.00034767165,0.00072764256,0.000558494,0.00038164773,0.0011851873,0.00044354916,0.00060141017,0.0010805638],"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":[0.000057417168,0.000041312363,0.0004536464,0.00017149515,0.00002392495,0.00025819166,0.00016066367,0.9326744,0.020970171,0.019914284,0.0017399583,0.023534507],"study_design_scores_gemma":[0.0000042581937,0.000036467813,0.00015449316,0.0000069868115,0.000008884263,0.00008584076,0.000010751251,0.9922127,0.0022326135,0.0018299888,0.0034101096,0.000006821266],"about_ca_topic_score_codex":0.0017377066,"about_ca_topic_score_gemma":0.0016754925,"teacher_disagreement_score":0.002914317,"about_ca_system_score_codex":0.00070247665,"about_ca_system_score_gemma":0.0004988717,"threshold_uncertainty_score":0.009749353},"labels":[],"label_agreement":null},{"id":"W3017027405","doi":"10.1109/tvt.2020.2987014","title":"Leveraging Dynamic Stackelberg Pricing Game for Multi-Mode Spectrum Sharing in 5G-VANET","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":53,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Vehicular ad hoc network; Computer science; Stackelberg competition; Underlay; Computer network; Throughput; Cellular network; Distributed computing; Wireless ad hoc network; Signal-to-noise ratio (imaging); Telecommunications; Wireless","score_opus":0.01781169976513942,"score_gpt":0.24713212861097467,"score_spread":0.22932042884583526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017027405","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":[0.07121702,0.00028191775,0.9207335,0.00045728657,0.00010839996,0.00012587644,0.000042493048,0.00013510561,0.0068984544],"genre_scores_gemma":[0.9698621,0.00014786217,0.028279833,0.00011369944,0.000026220843,0.00006786928,0.000025394536,0.000016188276,0.0014608637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987909,0.00048520794,0.000044495217,0.00015791286,0.00024964352,0.0002718106],"domain_scores_gemma":[0.9993013,0.00033854702,0.00008358333,0.000032931588,0.0001101353,0.00013342052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013299969,0.0008985886,0.0010582085,0.00050987484,0.00069895544,0.0014315854,0.0016454731,0.0011201751,0.0014386134],"category_scores_gemma":[0.002562974,0.00036664566,0.00079240015,0.0005012622,0.0009722933,0.0018144051,0.0012409277,0.0011200561,0.00014036283],"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":[0.00009784025,0.00011951077,0.0012220129,0.000048273316,0.00006724078,0.00031914702,0.00010010318,0.9394592,0.0025467223,0.037094925,0.0011365422,0.017788488],"study_design_scores_gemma":[0.000007520964,0.000030418163,0.00005353793,0.0000023126454,0.000008722924,0.000030285155,0.0000146781795,0.99407345,0.00017719074,0.0053876797,0.00020774752,0.000006447805],"about_ca_topic_score_codex":0.0052891704,"about_ca_topic_score_gemma":0.004702519,"teacher_disagreement_score":0.0052891704,"about_ca_system_score_codex":0.0011256123,"about_ca_system_score_gemma":0.0017512792,"threshold_uncertainty_score":0.010516763},"labels":[],"label_agreement":null},{"id":"W3019948041","doi":"10.1109/tvt.2020.2988468","title":"Review of Cabin Thermal Management for Electrified Passenger Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Flexibility (engineering); Automotive engineering; Thermal management of electronic devices and systems; Thermal comfort; Thermal; Management system; Engineering; Environmental science; Mechanical engineering; Operations management; Meteorology","score_opus":0.012954140877052451,"score_gpt":0.2248639239913413,"score_spread":0.21190978311428885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019948041","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005190765,0.99442625,0.001320845,0.00021792176,0.0004959808,0.000011295247,0.000049460265,0.000018020843,0.002941209],"genre_scores_gemma":[0.0036180033,0.99267596,0.0011019937,0.0001507691,0.00047114745,0.000012626017,0.00010934773,0.000008303626,0.0018519122],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973196,0.000041426447,0.00004166369,0.000057361773,0.00010545565,0.000022012773],"domain_scores_gemma":[0.99958736,0.00016406937,0.000053432454,0.000012993673,0.00016335135,0.000018865412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041597668,0.00094690337,0.0008633778,0.0017751626,0.0003142944,0.00091850944,0.0009547868,0.0008613729,0.005642687],"category_scores_gemma":[0.00063103624,0.00037709504,0.00067087397,0.0023362027,0.0002224121,0.0014188024,0.00044129838,0.0007541666,0.001784998],"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":[0.00007465835,0.000088482615,0.00032956805,0.032471728,0.00010840403,0.0002137029,0.000103206614,0.0029814509,0.003955048,0.0051323,0.042004712,0.91253686],"study_design_scores_gemma":[0.000005624608,0.00012302995,0.0011362361,0.0046236333,0.00015737992,0.00057506986,0.00009655875,0.0009956664,0.0016373579,0.0012596578,0.9893574,0.00003239595],"about_ca_topic_score_codex":0.0022396052,"about_ca_topic_score_gemma":0.0022897022,"teacher_disagreement_score":0.005642687,"about_ca_system_score_codex":0.0004985675,"about_ca_system_score_gemma":0.0010526327,"threshold_uncertainty_score":0.018876672},"labels":[],"label_agreement":null},{"id":"W3020151073","doi":"10.1109/tvt.2020.2989388","title":"Balancing Coverage and Response Time in Area Target Scheduling for Satellite Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","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 Toronto","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Scheduling (production processes); Integer programming; Computer science; Mathematical optimization; Job shop scheduling; Approximation algorithm; Satellite; Range (aeronautics); Integer (computer science); Algorithm; Mathematics; Engineering; Computer network","score_opus":0.012924813147175005,"score_gpt":0.2133136540502393,"score_spread":0.2003888409030643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020151073","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":[0.19246459,0.0008604587,0.8017556,0.00056123594,0.0000758887,0.00011273778,0.00007778153,0.00040197186,0.0036896989],"genre_scores_gemma":[0.8933787,0.0005578054,0.103768155,0.00010824963,0.00012280077,0.00010787697,0.000083789106,0.00013067138,0.0017419661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986425,0.00061456836,0.000034807126,0.0001757338,0.00022300675,0.00030947576],"domain_scores_gemma":[0.9961993,0.0031103923,0.0002930115,0.000087744396,0.00013718642,0.00017235577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017543447,0.0011130701,0.0011371457,0.0006551816,0.00074156385,0.0009384593,0.0010522743,0.0011790307,0.0019612517],"category_scores_gemma":[0.0055888467,0.0004137371,0.0004464771,0.0015879559,0.0008975536,0.0016571821,0.0009262551,0.0008361182,0.0003486556],"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":[0.00024891752,0.0000668498,0.0005877559,0.00007406722,0.00003083297,0.000045708537,0.00007745068,0.97118247,0.0030774523,0.0038629875,0.0006608103,0.02008475],"study_design_scores_gemma":[0.000013053229,0.00007214589,0.00010586823,0.0000019991335,0.000007176295,0.000020448413,0.000027524167,0.99718237,0.0007333023,0.0016509715,0.00018220849,0.0000030151486],"about_ca_topic_score_codex":0.0063879336,"about_ca_topic_score_gemma":0.005618774,"teacher_disagreement_score":0.0063879336,"about_ca_system_score_codex":0.0012885297,"about_ca_system_score_gemma":0.001025229,"threshold_uncertainty_score":0.012701452},"labels":[],"label_agreement":null},{"id":"W3021120710","doi":"10.1109/tvt.2020.2991143","title":"Performance Analysis of Full-Duplex Massive MIMO Systems With Low-Resolution ADCs/DACs Over Rician Fading Channels","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":34,"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 Natural Science Foundation of China","keywords":"Rician fading; Telecommunications link; Electronic engineering; MIMO; Fading; Computer science; Channel state information; Base station; Converters; Duplex (building); Quantization (signal processing); Channel (broadcasting); Engineering; Wireless; Telecommunications; Electrical engineering; Beamforming; Algorithm; Voltage","score_opus":0.010251751883545598,"score_gpt":0.20237475118949994,"score_spread":0.19212299930595433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021120710","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":[0.45152938,0.0036703867,0.52009577,0.00046698883,0.00008782086,0.00007096956,0.00028118974,0.00055020157,0.0232473],"genre_scores_gemma":[0.99506575,0.00038090415,0.0036773582,0.00003138697,0.000018009967,0.000011042194,0.000032172047,0.000010425766,0.0007729476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881124,0.0003696509,0.00004134289,0.00013346692,0.0003762736,0.00026814156],"domain_scores_gemma":[0.9968451,0.0018390535,0.0003331539,0.0002489465,0.0006569947,0.000076627664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012078776,0.00095534086,0.00075149647,0.0005446946,0.0004626069,0.0010998605,0.00053513923,0.00059561536,0.0016026145],"category_scores_gemma":[0.0041148467,0.00029204143,0.0003487881,0.0007674328,0.00087540346,0.0010265616,0.00083934754,0.0004921223,0.000295192],"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":[0.00014382374,0.000023052697,0.0010711057,0.000093518574,0.000046769295,0.00014410767,0.00007057805,0.97427464,0.006989231,0.0073618824,0.0002774441,0.009503844],"study_design_scores_gemma":[0.000004509947,0.00007887869,0.0006156703,0.0000072696985,0.000016614105,0.00008822032,0.000034910863,0.9959086,0.002003071,0.0010777538,0.00015241692,0.000012034316],"about_ca_topic_score_codex":0.0036938004,"about_ca_topic_score_gemma":0.0025228888,"teacher_disagreement_score":0.0036938004,"about_ca_system_score_codex":0.001147788,"about_ca_system_score_gemma":0.0007847022,"threshold_uncertainty_score":0.008327842},"labels":[],"label_agreement":null},{"id":"W3021372465","doi":"10.1109/tvt.2020.2991377","title":"Localization Error Bounds for 5G mmWave Systems Under I/Q Imbalance","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":27,"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":"Transmitter; Transceiver; Quadrature amplitude modulation; Amplitude; Quadrature (astronomy); Electronic engineering; Computer science; QAM; Degradation (telecommunications); Amplitude modulation; Communications system; Control theory (sociology); Bit error rate; Telecommunications; Engineering; Frequency modulation; Radio frequency; Physics; Wireless; Decoding methods; Optics; Artificial intelligence","score_opus":0.021864879459182016,"score_gpt":0.239266632498845,"score_spread":0.21740175303966297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021372465","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":[0.07146825,0.017005054,0.87382025,0.0026554097,0.00048672647,0.000097800315,0.00053881254,0.0007265519,0.03320102],"genre_scores_gemma":[0.9510682,0.004878616,0.037827063,0.0006427713,0.00031852248,0.00016410647,0.0004431334,0.0001935599,0.0044641113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975351,0.0006305017,0.00010153312,0.00025190445,0.0009252175,0.00055576616],"domain_scores_gemma":[0.9763154,0.016682485,0.0019688595,0.00095766934,0.003665939,0.00040971595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004361974,0.0018782262,0.0010625918,0.0015266909,0.0010340174,0.0022845045,0.0010629821,0.0015878243,0.004313314],"category_scores_gemma":[0.025234014,0.00039178284,0.00065482483,0.0011821104,0.0022015853,0.0025237375,0.0034634748,0.00202996,0.0010899076],"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":[0.00040624457,0.000047431382,0.00196262,0.0005095934,0.00006267819,0.00033123262,0.0002768967,0.9207258,0.008192381,0.04198021,0.0031042222,0.02240063],"study_design_scores_gemma":[0.000014300803,0.0001381525,0.0010377627,0.00025587238,0.000035494108,0.0002061545,0.00020906194,0.97221553,0.004090791,0.019784264,0.001960614,0.000052061074],"about_ca_topic_score_codex":0.004996983,"about_ca_topic_score_gemma":0.003085161,"teacher_disagreement_score":0.004996983,"about_ca_system_score_codex":0.0020022772,"about_ca_system_score_gemma":0.0013747142,"threshold_uncertainty_score":0.023068607},"labels":[],"label_agreement":null},{"id":"W3021839057","doi":"10.1109/tvt.2020.2993019","title":"Designing Multi-Mode Power Split Hybrid Electric Vehicles Using the Hierarchical Topological Graph Theory","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Powertrain; Mode (computer interface); Electric vehicle; Engineering; Process (computing); Automotive engineering; Towing; Design process; Topology (electrical circuits); Power (physics); Computer science; Torque; Work in process; Electrical engineering","score_opus":0.01878954210982003,"score_gpt":0.23913625791896742,"score_spread":0.2203467158091474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021839057","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":[0.051372916,0.00013826729,0.9407025,0.000064970045,0.000014505019,0.00011754125,0.000044471664,0.00015377419,0.0073909806],"genre_scores_gemma":[0.7042152,0.0003138652,0.29202405,0.00005104862,0.000009100961,0.00036088904,0.000113990136,0.00005312005,0.0028587906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984443,0.000040289324,0.0000059842764,0.00002414142,0.00006370264,0.000021458334],"domain_scores_gemma":[0.99986434,0.000061353014,0.000021412172,0.00001091623,0.000033379012,0.000008493424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028279956,0.0006301029,0.00029964378,0.0007064551,0.00025009876,0.00041041148,0.0004972967,0.00032480352,0.0013841478],"category_scores_gemma":[0.0004847772,0.00033799474,0.0006569956,0.00033042888,0.00038740836,0.00047459477,0.00047580714,0.0002750029,0.00015453038],"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":[0.000015037987,0.00002552107,0.00043367496,0.00008392653,0.000017441642,0.000051664625,0.000038345843,0.9549458,0.009065229,0.012185797,0.00022516781,0.022912335],"study_design_scores_gemma":[0.000010068731,0.00009086964,0.00016535519,0.0000073771125,0.000011158426,0.000017095374,0.000022734508,0.99124664,0.0014402457,0.005935523,0.0010472974,0.0000056476474],"about_ca_topic_score_codex":0.002556451,"about_ca_topic_score_gemma":0.004541807,"teacher_disagreement_score":0.002556451,"about_ca_system_score_codex":0.00054376165,"about_ca_system_score_gemma":0.0008406442,"threshold_uncertainty_score":0.0050831437},"labels":[],"label_agreement":null},{"id":"W3022170906","doi":"10.1109/tvt.2020.3044837","title":"Non-Orthogonal Multiple Access for Hybrid VLC-RF Networks With Imperfect Channel State Information","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","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":"Khalifa University of Science, Technology and Research","keywords":"Visible light communication; Computer science; Channel state information; Noma; Orthogonal frequency-division multiple access; Wireless; Radio frequency; Channel (broadcasting); Electronic engineering; Context (archaeology); Imperfect; Computer network; Telecommunications; Orthogonal frequency-division multiplexing; Electrical engineering; Telecommunications link; Engineering","score_opus":0.014001532288476599,"score_gpt":0.23294752169721247,"score_spread":0.21894598940873589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022170906","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":[0.016960733,0.00091563025,0.9769108,0.0001651384,0.000035236833,0.0000312318,0.00005554168,0.00007880886,0.00484696],"genre_scores_gemma":[0.92364615,0.0018062635,0.06899374,0.00014003961,0.0001072635,0.0001418568,0.0001121051,0.00005227147,0.005000276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915624,0.00035718386,0.00002293275,0.000115539275,0.0002386377,0.00010940999],"domain_scores_gemma":[0.998863,0.00076601794,0.0001370129,0.00009022493,0.00012462407,0.000019030316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001349951,0.0008486701,0.00080434454,0.0005902759,0.0005197471,0.0013209493,0.0009823631,0.0007203182,0.00171891],"category_scores_gemma":[0.0026232032,0.00031800804,0.0004991005,0.0009125433,0.00096847734,0.001381414,0.0009201098,0.00084475544,0.00033207293],"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":[0.000045557776,0.00003721645,0.00032995586,0.000116594536,0.000038241782,0.00019993854,0.00007265228,0.828986,0.0032075641,0.14410439,0.0008348521,0.022027068],"study_design_scores_gemma":[0.0000033623162,0.00002136027,0.000097084834,0.0000062826757,0.000007676611,0.000046160985,0.000015214121,0.9802581,0.00035989165,0.018529633,0.0006486952,0.0000064396195],"about_ca_topic_score_codex":0.002147117,"about_ca_topic_score_gemma":0.0031645405,"teacher_disagreement_score":0.002147117,"about_ca_system_score_codex":0.001365805,"about_ca_system_score_gemma":0.0008803738,"threshold_uncertainty_score":0.009909689},"labels":[],"label_agreement":null},{"id":"W3022539407","doi":"10.1109/tvt.2020.2993508","title":"Impact of Co-Channel Interference and Vehicles as Obstacles on Full-Duplex V2V Cooperative Wireless Network","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Nakagami distribution; Fading; Wireless; Interference (communication); Channel (broadcasting); Context (archaeology); Computer science; Signal-to-noise ratio (imaging); Independent and identically distributed random variables; Communications system; Wireless network; Throughput; Topology (electrical circuits); Electronic engineering; Telecommunications; Engineering; Mathematics; Statistics; Electrical engineering; Random variable","score_opus":0.017863035575352664,"score_gpt":0.2550779248310142,"score_spread":0.23721488925566156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022539407","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":[0.6631413,0.0032424938,0.32235515,0.00033230122,0.0000723446,0.000041168463,0.00007837685,0.0001810827,0.010555794],"genre_scores_gemma":[0.9968028,0.00054351916,0.0022342657,0.000021611177,0.000010233077,0.000009372256,0.000011371012,0.0000076985625,0.00035914063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987577,0.00038453957,0.00003148688,0.00012080703,0.000426318,0.00027917934],"domain_scores_gemma":[0.9959565,0.0029082622,0.00047780466,0.00013807863,0.00043341634,0.00008589079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008598222,0.0006917854,0.0006890315,0.0004912829,0.0006739968,0.0010323948,0.00076490664,0.00077860255,0.00041530808],"category_scores_gemma":[0.0043898975,0.00028018054,0.00039082454,0.00072743907,0.0014787926,0.0010975887,0.0012717043,0.0006065209,0.000104847284],"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":[0.000052273583,0.000015618418,0.0019848251,0.000059481503,0.000033887623,0.00047436968,0.00015727538,0.98424006,0.0026324447,0.005505905,0.00011924725,0.004724586],"study_design_scores_gemma":[0.00000225765,0.000070860064,0.0007706854,0.000011102818,0.000024257308,0.0002293717,0.00013105274,0.9948732,0.0020373755,0.0016194921,0.00021553333,0.00001474037],"about_ca_topic_score_codex":0.007512508,"about_ca_topic_score_gemma":0.00539136,"teacher_disagreement_score":0.007512508,"about_ca_system_score_codex":0.0011006021,"about_ca_system_score_gemma":0.00093428534,"threshold_uncertainty_score":0.01493758},"labels":[],"label_agreement":null},{"id":"W3023697791","doi":"10.1109/tvt.2020.2993509","title":"Demand-Aware Provisioning of Electric Vehicles Fast Charging Infrastructure","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Provisioning; Peak demand; Electric vehicle; Computer science; Automotive engineering; Driving range; Software deployment; Smart grid; Carbon footprint; Greenhouse gas; Voltage; Low voltage; Reliability engineering; Electrical engineering; Engineering; Simulation; Electricity; Computer network; Power (physics)","score_opus":0.00443961817147261,"score_gpt":0.18849328518691674,"score_spread":0.18405366701544412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023697791","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":[0.24686158,0.00028000423,0.71857506,0.0007394548,0.00014552205,0.00019944449,0.0006303896,0.001656454,0.03091206],"genre_scores_gemma":[0.979482,0.00007939676,0.017899906,0.00003141468,0.000008893419,0.000029414425,0.00011074072,0.000040951454,0.0023173348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973184,0.00006808072,0.000009270627,0.000045573477,0.000064894404,0.000080195285],"domain_scores_gemma":[0.9996761,0.00011321202,0.000033766988,0.000039008042,0.00009162359,0.000046307472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003471227,0.0005431626,0.00033025537,0.00027722443,0.00038342903,0.000746195,0.0009757362,0.0005468253,0.0027957642],"category_scores_gemma":[0.00094462134,0.00026737803,0.0002774513,0.00038444708,0.00024356402,0.0008890383,0.0006481885,0.00051571673,0.00031044532],"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":[0.000064935026,0.00003294295,0.0005264553,0.00003467967,0.000005372038,0.000059799564,0.000023404158,0.97827345,0.0027522414,0.0037043085,0.0012151967,0.013307212],"study_design_scores_gemma":[0.00000403548,0.000012135148,0.00009132679,0.000001341645,0.0000023760904,0.000010963484,0.000018740371,0.99767584,0.000725875,0.00077608856,0.00067860767,0.0000027082572],"about_ca_topic_score_codex":0.0068901926,"about_ca_topic_score_gemma":0.007947718,"teacher_disagreement_score":0.0068901926,"about_ca_system_score_codex":0.00093882415,"about_ca_system_score_gemma":0.0009393176,"threshold_uncertainty_score":0.013700128},"labels":[],"label_agreement":null},{"id":"W3024137225","doi":"10.1109/tvt.2020.2994181","title":"Smart Proactive Caching: Empower the Video Delivery for Autonomous Vehicles in ICN-Based Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":82,"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","keywords":"Computer science; Cache; Quality of experience; Computer network; Augmented reality; Popularity; Multimedia; Quality of service; Human–computer interaction","score_opus":0.016673880663216976,"score_gpt":0.21861771780351116,"score_spread":0.20194383714029418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024137225","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":[0.15892056,0.0043168184,0.8255417,0.0007693539,0.00037956896,0.00021577034,0.00025037673,0.002123436,0.007482475],"genre_scores_gemma":[0.9350071,0.00084579864,0.061284482,0.00023781019,0.00008834124,0.000053275795,0.00020541051,0.000037510308,0.0022402876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996414,0.00007003743,0.000019077395,0.00008233763,0.00008007638,0.00010707129],"domain_scores_gemma":[0.9993856,0.00014286416,0.000062296174,0.000097343356,0.0002531489,0.000058714206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366026,0.00064442435,0.0007159993,0.0004926353,0.0007296845,0.00089060393,0.0014024442,0.0006560651,0.0005747725],"category_scores_gemma":[0.0015372678,0.00021996975,0.00029357907,0.0007285616,0.00038825924,0.0016713295,0.0006125426,0.0004931075,0.00020940734],"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":[0.0006737935,0.00030582788,0.008787371,0.0003573878,0.00016506974,0.0009985493,0.0007524381,0.45997095,0.064607866,0.030738927,0.019042095,0.41359976],"study_design_scores_gemma":[0.000008204285,0.00006254066,0.00036662683,0.000011454913,0.0000255538,0.00011649976,0.00008516551,0.9903515,0.0031132177,0.0028527654,0.0029891322,0.000017312972],"about_ca_topic_score_codex":0.021136362,"about_ca_topic_score_gemma":0.028031949,"teacher_disagreement_score":0.021136362,"about_ca_system_score_codex":0.0011392328,"about_ca_system_score_gemma":0.0013205205,"threshold_uncertainty_score":0.0420267},"labels":[],"label_agreement":null},{"id":"W3025279013","doi":"10.1109/tvt.2020.2995146","title":"Task Scheduling for Mobile Edge Computing Using Genetic Algorithm and Conflict Graphs","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Server; Mobile edge computing; Scheduling (production processes); Latency (audio); Distributed computing; Edge computing; Parallel computing; Algorithm; Enhanced Data Rates for GSM Evolution; Computer network; Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.022401602023828245,"score_gpt":0.2556156331314389,"score_spread":0.2332140311076107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025279013","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":[0.07019493,0.0003528396,0.9256962,0.00020517183,0.00005335231,0.000084512394,0.000051427996,0.0002645698,0.003097023],"genre_scores_gemma":[0.7350227,0.0003589534,0.2622314,0.00013115871,0.000033615222,0.00016701594,0.00011311172,0.000054972792,0.001887021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972504,0.00008385115,0.000011607173,0.000054087745,0.00006356371,0.000061934305],"domain_scores_gemma":[0.99963903,0.00020239552,0.000046371155,0.000026792048,0.000058074722,0.000027342421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004479162,0.0007548512,0.0007016641,0.0006727941,0.00059655705,0.00066429377,0.0009452776,0.0006625654,0.0010190163],"category_scores_gemma":[0.0011197872,0.0003158341,0.0006319655,0.00094510475,0.00042962003,0.0007058289,0.00055552676,0.0005872916,0.0001153716],"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":[0.000042604843,0.000047653673,0.00046583865,0.000031726093,0.000026440528,0.00005486092,0.000028693259,0.96868503,0.0015434757,0.0062387334,0.00039913578,0.022435792],"study_design_scores_gemma":[0.0000060450493,0.000013108024,0.0000554049,0.0000016286222,0.0000039552974,0.000009458559,0.000008776735,0.9964451,0.00023728222,0.0029961849,0.00022067118,0.0000024411331],"about_ca_topic_score_codex":0.009604493,"about_ca_topic_score_gemma":0.0071203397,"teacher_disagreement_score":0.009604493,"about_ca_system_score_codex":0.00086360914,"about_ca_system_score_gemma":0.0015169025,"threshold_uncertainty_score":0.01909715},"labels":[],"label_agreement":null},{"id":"W3025561490","doi":"10.1109/tvt.2020.2993900","title":"Delayed Bit Interleaved Coded Sparse Code Multiple Access","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"Huawei Technologies (Canada)","funders":"Engineering and Physical Sciences Research Council; University of Surrey","keywords":"Computer science; Code word; Bit error rate; Decoding methods; Transmitter; Network packet; Encoder; Code (set theory); Channel (broadcasting); Turbo code; Electronic engineering; Algorithm; Computer engineering; Computer network; Engineering","score_opus":0.03174884599295452,"score_gpt":0.2584328371694955,"score_spread":0.22668399117654098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025561490","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":[0.13108519,0.00041749663,0.8650184,0.000146593,0.00005581133,0.0000499724,0.0000455016,0.00020268648,0.002978261],"genre_scores_gemma":[0.89380836,0.00021311545,0.10455619,0.00006384495,0.000028220005,0.00003227467,0.00003940826,0.000006836872,0.0012517066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980205,0.000053561947,0.00000700035,0.000021907235,0.00008616858,0.0000292599],"domain_scores_gemma":[0.99912745,0.0003379551,0.00012163059,0.000116896736,0.0002575423,0.00003855448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002641386,0.0002839957,0.00026690328,0.0002835774,0.00018376968,0.00032126467,0.0006637055,0.00029521115,0.0006383084],"category_scores_gemma":[0.0010964058,0.000099966055,0.0001186252,0.0004023498,0.0003864777,0.0003916936,0.0003822804,0.00038616298,0.0001429861],"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":[0.00079661317,0.00021527302,0.0042724907,0.00042816479,0.00009079115,0.00064908323,0.00022972496,0.37225035,0.32457012,0.10816312,0.0013789539,0.18695527],"study_design_scores_gemma":[0.000021838816,0.0002152226,0.00020569612,0.000008771527,0.000012717288,0.000208347,0.000015501999,0.9643517,0.028719269,0.004531007,0.0016986968,0.000011209137],"about_ca_topic_score_codex":0.0007571858,"about_ca_topic_score_gemma":0.0016265026,"teacher_disagreement_score":0.0007571858,"about_ca_system_score_codex":0.000254692,"about_ca_system_score_gemma":0.00046632992,"threshold_uncertainty_score":0.0021353364},"labels":[],"label_agreement":null},{"id":"W3025972542","doi":"10.1109/tvt.2020.2993725","title":"Making the Case for Switched Reluctance Motors for Propulsion Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Switched reluctance motor; Propulsion; Torque ripple; Automotive engineering; Electrically powered spacecraft propulsion; Engineering; Reluctance motor; Torque; Electric motor; Control engineering; Computer science; Direct torque control; Electrical engineering; Induction motor; Rotor (electric); Aerospace engineering; Voltage","score_opus":0.02122428780250496,"score_gpt":0.24605016872440152,"score_spread":0.22482588092189656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025972542","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":[0.020716378,0.026284473,0.58179563,0.109625235,0.014574016,0.00023275372,0.00012241174,0.0027957857,0.24385335],"genre_scores_gemma":[0.3899062,0.037410665,0.3595151,0.02600045,0.0065317946,0.00034614274,0.00020666517,0.0010017978,0.17908114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979699,0.000356997,0.000085754815,0.00038371314,0.001024203,0.00017936272],"domain_scores_gemma":[0.9979607,0.0007943482,0.00019864234,0.00031423804,0.0005907718,0.00014129632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002240644,0.00078003627,0.0006000452,0.0005245258,0.0010344756,0.002421356,0.0014216907,0.003470341,0.010146356],"category_scores_gemma":[0.0045300983,0.00037465594,0.00063378527,0.00028863782,0.002221063,0.0057934336,0.0016681707,0.0045468323,0.007059706],"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":[0.0002061982,0.00012703538,0.0009385239,0.0012445914,0.00005511137,0.0014297125,0.0006055366,0.006376919,0.054394968,0.57672566,0.055730715,0.30216503],"study_design_scores_gemma":[0.000035268946,0.00021283937,0.00033333505,0.00029019758,0.000024422374,0.0014260369,0.00023793135,0.0068220245,0.0103596365,0.09970933,0.88049656,0.000052363026],"about_ca_topic_score_codex":0.00044931503,"about_ca_topic_score_gemma":0.00082798407,"teacher_disagreement_score":0.010146356,"about_ca_system_score_codex":0.0005431864,"about_ca_system_score_gemma":0.00075198937,"threshold_uncertainty_score":0.033942938},"labels":[],"label_agreement":null},{"id":"W3026837198","doi":"10.1109/tvt.2020.2993904","title":"3D-MIMO Dual Communications in SCMA-Based Secure HetNets","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Iran National Science Foundation","keywords":"MIMO; Computer science; 3G MIMO; Spectral efficiency; Spatial multiplexing; Base station; Precoding; Heterogeneous network; Multi-user MIMO; Convex optimization; Electronic engineering; Channel (broadcasting); Computer network; Wireless; Wireless network; Telecommunications; Engineering; Mathematics; Regular polygon","score_opus":0.014511094282710009,"score_gpt":0.23337647615640797,"score_spread":0.21886538187369797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026837198","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":[0.17425933,0.0010816522,0.8143042,0.00039934213,0.00014149342,0.000056341,0.00010670862,0.00019500448,0.00945598],"genre_scores_gemma":[0.9732656,0.00027526365,0.024570372,0.000105064806,0.000024418552,0.00004338762,0.000040640087,0.0000075746207,0.0016678326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994765,0.00021446928,0.000013811865,0.000060620954,0.0001176352,0.00011697348],"domain_scores_gemma":[0.999206,0.00041977584,0.000115815536,0.000088038265,0.00011200632,0.00005848148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071130454,0.0006336265,0.00069946476,0.00037562154,0.00053075457,0.0009889317,0.000562589,0.000712845,0.00087630184],"category_scores_gemma":[0.0010599943,0.00030252946,0.00042643058,0.0005245821,0.0009994874,0.00095349725,0.001582101,0.00060008693,0.00026476843],"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":[0.00018538143,0.000048808095,0.00087572215,0.00007884987,0.000058449354,0.00060100865,0.00009886991,0.9357461,0.010893269,0.034222998,0.00091479236,0.016275767],"study_design_scores_gemma":[0.000008348317,0.000060927756,0.00012701028,0.0000053488266,0.0000104544715,0.00010999394,0.000031776257,0.99304384,0.0014345532,0.0047046994,0.00045487232,0.00000809507],"about_ca_topic_score_codex":0.0018503299,"about_ca_topic_score_gemma":0.002412858,"teacher_disagreement_score":0.0018503299,"about_ca_system_score_codex":0.00051133684,"about_ca_system_score_gemma":0.0005967325,"threshold_uncertainty_score":0.0037617683},"labels":[],"label_agreement":null},{"id":"W3027857024","doi":"10.1109/tvt.2020.2996238","title":"Delay-Oriented Caching Strategies in D2D Mobile Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":39,"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 Waterloo","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Computer science; Cache; Computer network; Utility maximization problem; Submodular set function; Backhaul (telecommunications); Mathematical optimization; Distributed computing; Base station; Utility maximization","score_opus":0.00976787472000711,"score_gpt":0.21815278670569854,"score_spread":0.20838491198569142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027857024","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":[0.06890194,0.004010462,0.92064226,0.00051435136,0.00008641162,0.000073016134,0.00017915442,0.0003139449,0.005278475],"genre_scores_gemma":[0.95291346,0.0013604568,0.04358029,0.00009228292,0.000034556757,0.000062909465,0.00009341988,0.000023913333,0.0018386216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995427,0.00013207344,0.000026096664,0.000094535564,0.000095656476,0.000108941415],"domain_scores_gemma":[0.99929035,0.0003679359,0.00009768885,0.00006103763,0.00013501389,0.00004799203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056759425,0.0007775564,0.0007971028,0.0005424127,0.0006764985,0.0010933715,0.0013960905,0.00083819183,0.0007465008],"category_scores_gemma":[0.0016100943,0.00039453144,0.0004222854,0.0012021621,0.0005188895,0.0012906307,0.00068348704,0.00047811426,0.00014763308],"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":[0.00011733073,0.00004591351,0.0010261303,0.0001492889,0.00004257262,0.00024308662,0.00008238316,0.9272894,0.0047048745,0.027654719,0.0020982486,0.036546048],"study_design_scores_gemma":[0.000008323143,0.000025491709,0.00011058075,0.000006368461,0.000013537124,0.000051516472,0.000023955967,0.99280167,0.0008480385,0.0053192885,0.0007822509,0.0000090697695],"about_ca_topic_score_codex":0.011697056,"about_ca_topic_score_gemma":0.010054399,"teacher_disagreement_score":0.011697056,"about_ca_system_score_codex":0.001981471,"about_ca_system_score_gemma":0.0011629288,"threshold_uncertainty_score":0.023257911},"labels":[],"label_agreement":null},{"id":"W3030516277","doi":"10.1109/tvt.2020.2998405","title":"Performance of Distributed Massive MIMO and Small-Cell Systems Under Hardware and Channel Impairments","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Telecommunications link; Computer science; Channel (broadcasting); Software deployment; Multi-user MIMO; Wireless; 3G MIMO; Spectral efficiency; Distributed computing; Communications system; Computer network; Telecommunications","score_opus":0.008830070855974488,"score_gpt":0.1866669121661975,"score_spread":0.177836841310223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030516277","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":[0.9277414,0.00090635,0.062199388,0.00029666687,0.0000758549,0.000031822507,0.0001806413,0.0003152156,0.008252626],"genre_scores_gemma":[0.99875796,0.0000692844,0.0008113968,0.000020144611,0.000009175221,0.000004214936,0.000025292462,0.0000036166623,0.00029895644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917346,0.00022387686,0.000026682797,0.00013860404,0.00021598491,0.0002213615],"domain_scores_gemma":[0.9968714,0.0016452259,0.00038497098,0.00027526755,0.00067015126,0.00015297908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084346056,0.0008407957,0.00054465747,0.00035742897,0.00048386477,0.0007372975,0.000515968,0.00080010225,0.0009240923],"category_scores_gemma":[0.0029869368,0.00015677833,0.00024915862,0.00042732662,0.00083276635,0.00080042484,0.0007272609,0.0004743182,0.00021524783],"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":[0.00061651994,0.0001143585,0.004678091,0.00013288077,0.00008057513,0.00038309922,0.00016162748,0.9480881,0.024247516,0.004467153,0.00060513127,0.016424915],"study_design_scores_gemma":[0.000025418203,0.00026878854,0.002586395,0.000009897438,0.000024956373,0.00013522693,0.00010229575,0.98898965,0.00627803,0.0014178798,0.0001391907,0.000022327098],"about_ca_topic_score_codex":0.0045397114,"about_ca_topic_score_gemma":0.003098088,"teacher_disagreement_score":0.0045397114,"about_ca_system_score_codex":0.0007350382,"about_ca_system_score_gemma":0.000542248,"threshold_uncertainty_score":0.009026527},"labels":[],"label_agreement":null},{"id":"W3033105525","doi":"10.1109/tvt.2020.2999617","title":"A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":177,"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 Waterloo","funders":"Natural Science Foundation of Beijing Municipality; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Joint (building); Computer science; Service (business); Enhanced Data Rates for GSM Evolution; Edge computing; Computer network; Engineering; Telecommunications; Business","score_opus":0.024587294375945153,"score_gpt":0.22651963430324146,"score_spread":0.2019323399272963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033105525","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":[0.021745237,0.0002556207,0.9746348,0.00036161597,0.000057164005,0.00003617298,0.000035037992,0.00026149247,0.0026128048],"genre_scores_gemma":[0.890885,0.00019556962,0.104946174,0.00019907895,0.000044403234,0.000070715134,0.00010631242,0.000065271575,0.0034876042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996562,0.00007800929,0.00001451342,0.00008601455,0.00005671947,0.000108474174],"domain_scores_gemma":[0.99969196,0.00010759139,0.000035027682,0.00003037085,0.000080571466,0.000054513588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005812171,0.00071766,0.00075204094,0.00031682057,0.000509576,0.0007272453,0.0013587744,0.00072541,0.0016925039],"category_scores_gemma":[0.0010524332,0.0003027369,0.00046680312,0.00046462097,0.0005760572,0.0010232964,0.0011559812,0.0010896127,0.00022839951],"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":[0.000047863778,0.00004657291,0.00048440692,0.00002770875,0.000017829783,0.00005112196,0.00003813657,0.9549475,0.0015380287,0.010582497,0.0015771071,0.030641155],"study_design_scores_gemma":[0.0000017443873,0.000006582646,0.000020002106,8.1578344e-7,0.0000014438052,0.0000044985104,0.0000052667397,0.9982835,0.000102820566,0.0014159154,0.00015625797,0.0000011638491],"about_ca_topic_score_codex":0.01091329,"about_ca_topic_score_gemma":0.00966467,"teacher_disagreement_score":0.01091329,"about_ca_system_score_codex":0.0012771161,"about_ca_system_score_gemma":0.0016884732,"threshold_uncertainty_score":0.021699548},"labels":[],"label_agreement":null},{"id":"W3033429808","doi":"10.1109/tvt.2020.2999752","title":"Performance Analysis of Hybrid Satellite-Terrestrial Cooperative Networks With Relay Selection","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":113,"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, Okanagan Campus; University of British Columbia; Concordia University","funders":"National Natural Science Foundation of China","keywords":"Relay; Telecommunications link; Computer science; Throughput; Interference (communication); Diversity gain; Selection (genetic algorithm); Communications satellite; Signal-to-noise ratio (imaging); Cooperative diversity; Transmission (telecommunications); Electronic engineering; Satellite; Computer network; Telecommunications; Engineering; Fading; Wireless; Power (physics); Decoding methods","score_opus":0.013781921822488186,"score_gpt":0.2098077893691654,"score_spread":0.1960258675466772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033429808","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":[0.542601,0.0019212094,0.43964627,0.00033675038,0.00003165325,0.00007513013,0.00015577364,0.00029070335,0.014941501],"genre_scores_gemma":[0.99543226,0.00024992225,0.0036302865,0.000016006716,0.000009789152,0.000020172769,0.00002153742,0.0000070116616,0.00061317085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922276,0.00030892968,0.000022210694,0.00009717252,0.00021291859,0.00013613253],"domain_scores_gemma":[0.99712175,0.0017917721,0.0003233118,0.00011744325,0.0005880233,0.000057714253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012682545,0.0007525,0.0005442524,0.00065896084,0.00044936492,0.00082507194,0.0006341774,0.0006382093,0.0010528318],"category_scores_gemma":[0.003510317,0.00021493793,0.0002855988,0.0009715141,0.00097162515,0.00076423265,0.0008036071,0.00029024438,0.00016752265],"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":[0.000093413306,0.000012606491,0.0010574233,0.00005267232,0.000032272834,0.00020504129,0.0000930272,0.97980475,0.0047171395,0.007614602,0.00021227673,0.006104755],"study_design_scores_gemma":[0.0000029676976,0.000058898797,0.00026669816,0.0000037505986,0.000011597541,0.00006565894,0.000031323543,0.9979023,0.00061541673,0.00092475564,0.000111290894,0.000005239559],"about_ca_topic_score_codex":0.005429232,"about_ca_topic_score_gemma":0.0032620202,"teacher_disagreement_score":0.005429232,"about_ca_system_score_codex":0.0014042566,"about_ca_system_score_gemma":0.0006547212,"threshold_uncertainty_score":0.010795295},"labels":[],"label_agreement":null},{"id":"W3034793892","doi":"10.1109/tvt.2020.3000757","title":"Efficient Hybrid Beamforming With Anti-Blockage Design for High-Speed Railway Communications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":44,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Rail Traffic Control and Safety; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Beamforming; Broadband; Electronic engineering; Transmission (telecommunications); Communications system; Engineering; Computer network; Telecommunications","score_opus":0.02713698751923732,"score_gpt":0.22021529840488666,"score_spread":0.19307831088564933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034793892","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":[0.004797073,0.00009360112,0.9941835,0.000032958826,0.000010731466,0.000008633952,0.000010864336,0.00008177289,0.0007807778],"genre_scores_gemma":[0.41672775,0.00060987705,0.57839364,0.00014567515,0.000056343353,0.00016043414,0.0001319354,0.00004941377,0.0037250402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996728,0.00009920955,0.000013242164,0.00004743857,0.00013396592,0.00003343346],"domain_scores_gemma":[0.9996505,0.00012568281,0.00007236503,0.000029682975,0.000101151585,0.000020636131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037380864,0.00074671215,0.00038697888,0.00025725062,0.00020533417,0.00037739068,0.00048669433,0.00061431824,0.0016818029],"category_scores_gemma":[0.0007535111,0.00026065472,0.0003313914,0.00047847963,0.00030743045,0.00072073226,0.00043721666,0.00042006373,0.00063807965],"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":[0.00023565885,0.00007167913,0.0007828947,0.00014811383,0.00008044933,0.00010218592,0.00014128647,0.6312254,0.108529866,0.01843542,0.002106767,0.23814034],"study_design_scores_gemma":[0.000015262402,0.00015046005,0.0001681044,0.000006757752,0.000011161686,0.00005509279,0.000012828413,0.989711,0.0062917164,0.0018353061,0.0017299673,0.000012365186],"about_ca_topic_score_codex":0.00089953386,"about_ca_topic_score_gemma":0.0011417728,"teacher_disagreement_score":0.0016818029,"about_ca_system_score_codex":0.00025214153,"about_ca_system_score_gemma":0.00040805282,"threshold_uncertainty_score":0.0056262016},"labels":[],"label_agreement":null},{"id":"W3036507558","doi":"10.1109/tvt.2020.3004010","title":"Sizing of a Battery Pack Based on Series/Parallel Configurations for a High-Power Electric Vehicle as a Constrained Optimization Problem","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Battery pack; Sizing; Battery (electricity); Electric vehicle; Electric-vehicle battery; Mathematical optimization; Series (stratigraphy); Exploit; Computer science; Constraint (computer-aided design); Power (physics); Pareto principle; Engineering; Automotive engineering; Mathematics","score_opus":0.010638798505553451,"score_gpt":0.22945452524792626,"score_spread":0.21881572674237282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036507558","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":[0.09439687,0.00033112866,0.8813319,0.00016554608,0.00004357399,0.00022278848,0.00019689312,0.0004615455,0.022849709],"genre_scores_gemma":[0.7650871,0.00033738842,0.22525,0.00007447789,0.000022235316,0.00035460677,0.0002916183,0.00017154281,0.0084109865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973196,0.00008112468,0.00001213599,0.000042259388,0.000103201965,0.000029282524],"domain_scores_gemma":[0.99975926,0.0001137523,0.000035523906,0.000023995954,0.000053563486,0.000014003819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003687418,0.00097289286,0.00062586635,0.00062277634,0.00034877632,0.0009800633,0.000661212,0.00066457427,0.004266287],"category_scores_gemma":[0.0007201954,0.00053760037,0.00079361186,0.00075931265,0.00042506043,0.00088454183,0.0005448813,0.00053462613,0.00055278704],"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":[0.00003372451,0.000028734687,0.00036287602,0.00011009774,0.000029548763,0.000114567534,0.00003093413,0.96328914,0.005208352,0.003158667,0.00066767057,0.026965592],"study_design_scores_gemma":[0.000012163075,0.0001224581,0.0002659764,0.000014066932,0.000031100848,0.00007931086,0.00004605178,0.9909116,0.0030346522,0.0037079637,0.0017658311,0.000008907662],"about_ca_topic_score_codex":0.0021682954,"about_ca_topic_score_gemma":0.0038176263,"teacher_disagreement_score":0.004266287,"about_ca_system_score_codex":0.0005766621,"about_ca_system_score_gemma":0.00085847516,"threshold_uncertainty_score":0.014272153},"labels":[],"label_agreement":null},{"id":"W3036979321","doi":"10.1109/tvt.2020.3003873","title":"Distributed Stable Global Broadcasting for SINR-Based Multi-Channel Wireless Multi-Hop Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Network packet; Computer network; Broadcasting (networking); Scheduling (production processes); Queue; Wireless network; Wireless; Latency (audio); Channel (broadcasting); Throughput; Distributed computing; Mathematical optimization; Telecommunications; Mathematics","score_opus":0.01887875167935258,"score_gpt":0.23366002823072834,"score_spread":0.21478127655137577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036979321","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":[0.03547714,0.00043639692,0.9619596,0.00013508675,0.000029662906,0.00005900237,0.000020411959,0.00028374637,0.0015989575],"genre_scores_gemma":[0.8704223,0.00046874254,0.12784217,0.000101730824,0.000050323873,0.00012286982,0.000083848536,0.00006847063,0.0008395388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990969,0.00027416256,0.000035597943,0.00015281726,0.0003001757,0.00014045155],"domain_scores_gemma":[0.9973756,0.0016230957,0.00025266866,0.00022861394,0.00038570122,0.00013437853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017606759,0.0005859821,0.00078951265,0.00057916716,0.0007012686,0.0008543948,0.0014885063,0.00053746614,0.0008464149],"category_scores_gemma":[0.0046977946,0.00031169743,0.00043458844,0.0008313036,0.0009213028,0.0010864881,0.001257779,0.0008649411,0.00015598681],"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":[0.00033587287,0.00014018048,0.0015630858,0.00026233078,0.00007248412,0.00013938609,0.00033121277,0.8077411,0.020636236,0.041214887,0.0016978652,0.12586533],"study_design_scores_gemma":[0.000014347323,0.00004533437,0.00008698469,0.0000039083934,0.000008427183,0.000023898627,0.000025566454,0.9928738,0.001750444,0.0048455135,0.00031683146,0.0000049755395],"about_ca_topic_score_codex":0.002356457,"about_ca_topic_score_gemma":0.0025442373,"teacher_disagreement_score":0.002356457,"about_ca_system_score_codex":0.0013704807,"about_ca_system_score_gemma":0.0015290013,"threshold_uncertainty_score":0.009943545},"labels":[],"label_agreement":null},{"id":"W3037713526","doi":"10.1109/tvt.2020.3004720","title":"Cooperative Edge Caching With Location-Based and Popular Contents for Vehicular Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":111,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Server; Computer network; Transmission (telecommunications); Knapsack problem; Upload; Cache; Enhanced Data Rates for GSM Evolution; Optimization problem; Upper and lower bounds; Service (business); Mathematical optimization; Distributed computing; Algorithm; Mathematics","score_opus":0.016501304802865803,"score_gpt":0.21820468622708686,"score_spread":0.20170338142422106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037713526","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":[0.12682955,0.00095473015,0.86864007,0.00015961747,0.000052899646,0.000064566615,0.000055891654,0.00029044546,0.0029522337],"genre_scores_gemma":[0.94980526,0.00030215931,0.04795459,0.000037696416,0.000022891349,0.00003772907,0.00007307969,0.00001906334,0.0017474997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993505,0.00017835796,0.00003121249,0.00012753758,0.00015551332,0.00015691205],"domain_scores_gemma":[0.99893147,0.00042417244,0.00013287537,0.00019684526,0.00023727522,0.00007732891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005195576,0.00081917533,0.0009032242,0.00062927714,0.00083865883,0.00094236905,0.0018811506,0.00085613434,0.0005283837],"category_scores_gemma":[0.001893469,0.00031986495,0.00052771805,0.0013356253,0.0005124232,0.0015609441,0.0010334379,0.00047558112,0.00016257277],"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":[0.00023959656,0.00012168279,0.0030996697,0.00015598236,0.00009517821,0.0006237569,0.00023724505,0.87652534,0.019710958,0.029043112,0.0017951088,0.068352364],"study_design_scores_gemma":[0.0000042741335,0.000038295417,0.00018605223,0.000003116338,0.000019092015,0.00008307671,0.000043351378,0.9947573,0.0016421346,0.0026087763,0.0006063956,0.000008090862],"about_ca_topic_score_codex":0.008697107,"about_ca_topic_score_gemma":0.013572717,"teacher_disagreement_score":0.008697107,"about_ca_system_score_codex":0.0011843645,"about_ca_system_score_gemma":0.0010036946,"threshold_uncertainty_score":0.017292917},"labels":[],"label_agreement":null},{"id":"W3037906744","doi":"10.1109/tvt.2020.3005120","title":"Secure Transmission via Power Allocation in NOMA-UAV Networks With Circular Trajectory","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":36,"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":"National Natural Science Foundation of China","keywords":"Computer science; Noma; Decoding methods; Transmission (telecommunications); Computer network; Secure transmission; Transmitter power output; Wireless; Wireless network; Convexity; Power (physics); Real-time computing; Telecommunications link; Telecommunications; Channel (broadcasting); Transmitter","score_opus":0.004058787086441839,"score_gpt":0.17184674053840238,"score_spread":0.16778795345196054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037906744","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":[0.11111969,0.0008568426,0.88291156,0.0004135008,0.000054613578,0.000055827404,0.00007487043,0.00015942636,0.004353716],"genre_scores_gemma":[0.9794189,0.00043215544,0.018797802,0.000049723305,0.000019861278,0.000055142656,0.000031611424,0.000012989024,0.0011817904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919814,0.00031486453,0.000031178217,0.00013413274,0.0001288774,0.00019275075],"domain_scores_gemma":[0.9984572,0.00091870833,0.00030267437,0.000095908836,0.00016156449,0.00006400212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007526048,0.0009454042,0.0007255597,0.00056872226,0.00092552067,0.0009743236,0.0008102051,0.00070331426,0.0007804627],"category_scores_gemma":[0.0032532874,0.00035822843,0.00035790345,0.0009893323,0.001220476,0.001362241,0.0014743753,0.00065973814,0.00020534181],"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":[0.00024842334,0.00003456453,0.0012261689,0.00010529194,0.000044320874,0.0008559493,0.00024580138,0.9209909,0.007854288,0.038441006,0.0009961447,0.028957166],"study_design_scores_gemma":[0.000009034622,0.000045769895,0.00014824483,0.0000069104644,0.000008871375,0.0001273405,0.00006399359,0.99041253,0.0010055099,0.007755723,0.00040741253,0.000008703895],"about_ca_topic_score_codex":0.0031552764,"about_ca_topic_score_gemma":0.0026855054,"teacher_disagreement_score":0.0031552764,"about_ca_system_score_codex":0.0010496336,"about_ca_system_score_gemma":0.0007468773,"threshold_uncertainty_score":0.0076156855},"labels":[],"label_agreement":null},{"id":"W3037974908","doi":"10.1109/tvt.2020.3004118","title":"Energy- and Spectral-Efficiency Tradeoff With $\\alpha$-Fairness in Energy Harvesting D2D Communication","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":30,"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":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Resource allocation; Mathematical optimization; Energy harvesting; Optimization problem; Efficient energy use; Quality of service; Telecommunications link; Resource management (computing); Iterative method; Max-min fairness; Energy (signal processing); Computer network; Engineering; Mathematics; Electrical engineering; Algorithm","score_opus":0.007843896691127788,"score_gpt":0.18042665277747347,"score_spread":0.17258275608634568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037974908","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":[0.04611073,0.0009924108,0.94691455,0.00042993686,0.00009184288,0.000058622023,0.00005899323,0.000098442666,0.005244391],"genre_scores_gemma":[0.9220251,0.00052802335,0.07465691,0.00012571376,0.000066050365,0.00009402192,0.000041217732,0.000046901314,0.00241618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998486,0.0006647902,0.00005679746,0.00022874407,0.0003062026,0.00025743566],"domain_scores_gemma":[0.9976642,0.0017007267,0.00015179864,0.00012200365,0.00025870648,0.00010268654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031324942,0.0008480718,0.0010796753,0.0005037762,0.00094923243,0.0018463131,0.0012749279,0.0009574517,0.001108728],"category_scores_gemma":[0.0051266076,0.00038810773,0.00044547755,0.0010954009,0.0010829247,0.0015200641,0.0014543877,0.000983789,0.0002000806],"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":[0.00031592118,0.00013054712,0.0013666088,0.00014025671,0.00004256951,0.0001863201,0.00012711331,0.89308757,0.0043413965,0.048204202,0.0017518135,0.0503056],"study_design_scores_gemma":[0.000013233398,0.000041031435,0.00016680718,0.0000074978343,0.000007740587,0.00004996824,0.000031760927,0.9860087,0.0010099654,0.0121099735,0.00054337556,0.0000099459085],"about_ca_topic_score_codex":0.0028350225,"about_ca_topic_score_gemma":0.0025923427,"teacher_disagreement_score":0.0031324942,"about_ca_system_score_codex":0.001538711,"about_ca_system_score_gemma":0.0015605096,"threshold_uncertainty_score":0.016566396},"labels":[],"label_agreement":null},{"id":"W3038116752","doi":"10.1109/tvt.2020.3004175","title":"Multi-Target Device-Free Wireless Sensing Based on Multiplexing Mechanisms","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":16,"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":"Liaoning Revitalization Talents Program; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Multiplexing; Wireless; Computer science; Time-division multiplexing; Electronic engineering; Exploit; Frequency-division multiplexing; Orthogonal frequency-division multiplexing; Real-time computing; Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.015935877232935682,"score_gpt":0.21252176601256362,"score_spread":0.19658588877962793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038116752","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":[0.12439961,0.0018195662,0.86475164,0.00026651873,0.00019279018,0.00014535409,0.000055944747,0.0006229899,0.00774553],"genre_scores_gemma":[0.85584706,0.0011849379,0.13936931,0.0002168234,0.00012200982,0.000109522334,0.00004706653,0.000027235084,0.0030760197],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994276,0.00009768606,0.000030260057,0.00013701365,0.00024729653,0.00005999576],"domain_scores_gemma":[0.9995097,0.00018327041,0.00011239759,0.00008049964,0.00008238757,0.00003178536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045672298,0.00083442405,0.00039060312,0.0005878813,0.00032852287,0.00057962525,0.0010308056,0.0006151731,0.0008629378],"category_scores_gemma":[0.00078838837,0.0003340728,0.00041135645,0.0004717926,0.0005681609,0.0018681457,0.0010715374,0.000462158,0.00029490763],"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":[0.00027965638,0.0000845064,0.0013536144,0.00031504265,0.000057661666,0.00035926848,0.00023799973,0.013051382,0.83115214,0.022655273,0.0006806443,0.12977283],"study_design_scores_gemma":[0.000050182396,0.00080702076,0.0015194783,0.00004823748,0.00008509344,0.001719557,0.00011617436,0.30771235,0.6670214,0.008231944,0.012557955,0.00013059966],"about_ca_topic_score_codex":0.00024216657,"about_ca_topic_score_gemma":0.00033204097,"teacher_disagreement_score":0.0010308056,"about_ca_system_score_codex":0.00032018806,"about_ca_system_score_gemma":0.00020885283,"threshold_uncertainty_score":0.0028867722},"labels":[],"label_agreement":null},{"id":"W3040221354","doi":"10.1109/tvt.2020.3005363","title":"Verifiable and Privacy-Preserving Traffic Flow Statistics for Advanced Traffic Management Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Waterloo","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Encryption; Computer science; Correctness; Verifiable secret sharing; Differential privacy; Computer security; Homomorphic encryption; Crowdsourcing; Traffic flow (computer networking); Security analysis; Traffic analysis; Scheme (mathematics); Computer network; Data mining; Algorithm; Mathematics","score_opus":0.02014612978525421,"score_gpt":0.24736352288085994,"score_spread":0.22721739309560574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040221354","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":[0.060540315,0.00034771196,0.9344683,0.0004076013,0.00006778764,0.00018434519,0.00018306155,0.0011325222,0.0026683505],"genre_scores_gemma":[0.9606713,0.00011560818,0.038063355,0.00008071652,0.00003533343,0.0000984378,0.00011286831,0.000020084823,0.0008021921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99636745,0.0010270384,0.000213857,0.00065276964,0.0013289668,0.000409824],"domain_scores_gemma":[0.9949291,0.0016046071,0.0009947055,0.0016061687,0.0006614966,0.00020402197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002524005,0.00064439245,0.00078381365,0.00073501474,0.0014060021,0.0015099008,0.0018039786,0.0011678048,0.001120022],"category_scores_gemma":[0.006825015,0.00033168346,0.000623807,0.0010080069,0.001329227,0.0032580285,0.0029097316,0.0015731136,0.0003252919],"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":[0.0012408711,0.0002862587,0.004774288,0.00033387545,0.0001471618,0.00069863134,0.00074291613,0.55149597,0.061165776,0.18415092,0.0042129443,0.19075038],"study_design_scores_gemma":[0.00003715321,0.000103044535,0.00040501117,0.000014433608,0.000026019274,0.000121366356,0.00005182848,0.9555491,0.011586151,0.029569376,0.0025028507,0.000033675744],"about_ca_topic_score_codex":0.002121532,"about_ca_topic_score_gemma":0.0011876593,"teacher_disagreement_score":0.002524005,"about_ca_system_score_codex":0.0018320036,"about_ca_system_score_gemma":0.0029025588,"threshold_uncertainty_score":0.013348341},"labels":[],"label_agreement":null},{"id":"W3040346066","doi":"10.1109/tvt.2020.3005406","title":"Mobile Edge Computing via Wireless Power Transfer Over Multiple Fading Blocks: An Optimal Stopping Approach","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Fading; Computer science; Base station; Energy harvesting; Wireless; Enhanced Data Rates for GSM Evolution; Efficient energy use; Energy (signal processing); Real-time computing; Channel (broadcasting); Computer network; Telecommunications; Engineering; Electrical engineering; Mathematics","score_opus":0.015055511036437968,"score_gpt":0.2291582179949982,"score_spread":0.21410270695856023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040346066","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":[0.011543915,0.00026663247,0.985195,0.00019266656,0.000030667306,0.000032265223,0.00002001602,0.000097154545,0.0026216987],"genre_scores_gemma":[0.7688638,0.00091692555,0.22198799,0.00027226092,0.00012123617,0.00020116534,0.00010318611,0.00022048669,0.0073129656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993247,0.00025290615,0.00003209673,0.000130918,0.00012159395,0.00013789217],"domain_scores_gemma":[0.99895275,0.00066104706,0.0001050666,0.000067174675,0.00012501824,0.000088947956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012357938,0.0012761093,0.0013554933,0.0004888095,0.0005155111,0.0013554269,0.00132733,0.0009966571,0.0023767315],"category_scores_gemma":[0.0023678243,0.0006115186,0.00080915925,0.00060996035,0.0010860877,0.0015659722,0.0011817511,0.0011364883,0.0003204238],"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":[0.00010672706,0.00006087461,0.0003334909,0.0000841354,0.000045373148,0.00010941317,0.00005103406,0.94701695,0.004194568,0.026212726,0.0008109628,0.020973695],"study_design_scores_gemma":[0.0000075121743,0.000042163174,0.000040997034,0.0000048190514,0.000007429138,0.000016151971,0.0000066942603,0.9912815,0.000672383,0.007550043,0.00036543948,0.0000049273463],"about_ca_topic_score_codex":0.0012275354,"about_ca_topic_score_gemma":0.0009563007,"teacher_disagreement_score":0.0023767315,"about_ca_system_score_codex":0.0009699488,"about_ca_system_score_gemma":0.00084582146,"threshold_uncertainty_score":0.007950962},"labels":[],"label_agreement":null},{"id":"W3042219597","doi":"10.1109/tvt.2021.3109236","title":"Spectrum Sensing and Signal Identification With Deep Learning Based on Spectral Correlation Function","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Signal Modulation Classification","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":"Polytechnique Montréal","funders":"Qatar National Research Fund; European Commission; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Cyclostationary process; Computer science; SIGNAL (programming language); A priori and a posteriori; Wireless; Identification (biology); Artificial intelligence; Convolutional neural network; Correlation; Process (computing); Pattern recognition (psychology); Function (biology); Correlation function (quantum field theory); Property (philosophy); Spectrum (functional analysis); Spectral density; Telecommunications; Channel (broadcasting); Mathematics","score_opus":0.00964164372311976,"score_gpt":0.207939283915645,"score_spread":0.19829764019252524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042219597","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":[0.03153432,0.00033112074,0.9647686,0.00020608534,0.000051747407,0.000020833046,0.000079492085,0.0009060175,0.0021017566],"genre_scores_gemma":[0.7508526,0.00051821885,0.24011433,0.00023370555,0.000074061216,0.00006799456,0.0005343987,0.000085165935,0.0075195245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997756,0.000035577446,0.0000105696,0.00007080145,0.000065097585,0.00004233501],"domain_scores_gemma":[0.9997787,0.000080832215,0.000027859975,0.00003909875,0.00005796912,0.00001553308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004132019,0.000716749,0.0004944467,0.00051798095,0.00025806177,0.0005160433,0.0007929258,0.00074056315,0.0018022208],"category_scores_gemma":[0.0009935285,0.00028097074,0.0005233303,0.0005295774,0.000396517,0.0010819131,0.0008147481,0.0009293561,0.00049692637],"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":[0.00022123592,0.00016575004,0.0019712762,0.000102433805,0.00009086633,0.00014859282,0.000069028116,0.5073135,0.027357396,0.01576995,0.0031895272,0.44360042],"study_design_scores_gemma":[0.0000011693038,0.000009138724,0.00009853336,0.0000018483446,0.0000029594012,0.000008981473,0.000002534346,0.99670523,0.0018128685,0.0011282796,0.00022617729,0.0000022541672],"about_ca_topic_score_codex":0.005818473,"about_ca_topic_score_gemma":0.006555933,"teacher_disagreement_score":0.005818473,"about_ca_system_score_codex":0.00055781414,"about_ca_system_score_gemma":0.00069873827,"threshold_uncertainty_score":0.011569262},"labels":[],"label_agreement":null},{"id":"W3043012182","doi":"10.1109/tvt.2020.3009138","title":"User Grouping and Hybrid RF/Baseband Precoding for Multi-User Massive MIMO Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Baseband; MIMO; Zero-forcing precoding; Radio frequency; Electronic engineering; Computer science; Beamforming; Spatial multiplexing; Multi-user MIMO; Engineering; Telecommunications; Bandwidth (computing)","score_opus":0.017273189764028085,"score_gpt":0.22859426216324585,"score_spread":0.21132107239921777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043012182","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":[0.028402483,0.00025875727,0.96892333,0.000061743645,0.000031439984,0.000023846214,0.000027049791,0.00011626766,0.002155076],"genre_scores_gemma":[0.76185983,0.000437802,0.23418307,0.00014402841,0.00010833228,0.00008215708,0.000073115305,0.000024339492,0.003087233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994025,0.00024220426,0.000022719907,0.000102540966,0.00015008588,0.000079909725],"domain_scores_gemma":[0.99941635,0.00023306745,0.00009641348,0.00013759873,0.000090927606,0.000025714953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003929675,0.0006660888,0.00051916705,0.00021477816,0.00027796495,0.00046792443,0.0005771558,0.0005432156,0.0009898494],"category_scores_gemma":[0.0010898919,0.0002642255,0.0003840196,0.0005794347,0.00047366307,0.0007030375,0.0006149767,0.00035864685,0.0004394293],"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":[0.00017300047,0.000083849896,0.0009109849,0.00013670149,0.00010025666,0.00027113402,0.00017096083,0.81737894,0.041191973,0.03933407,0.0011275751,0.099120565],"study_design_scores_gemma":[0.000011595896,0.00018536382,0.00039387972,0.00000653616,0.000018806511,0.00011441518,0.000024059951,0.98407054,0.00595627,0.007444372,0.0017591611,0.000015010798],"about_ca_topic_score_codex":0.0006997302,"about_ca_topic_score_gemma":0.0009412895,"teacher_disagreement_score":0.0009898494,"about_ca_system_score_codex":0.00023586894,"about_ca_system_score_gemma":0.00027795648,"threshold_uncertainty_score":0.0033113956},"labels":[],"label_agreement":null},{"id":"W3043505399","doi":"10.1109/tvt.2020.3008715","title":"Secrecy Performance of NOMA Systems With Energy Harvesting and Full-Duplex Relaying","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":28,"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 British Columbia","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Secrecy; Relay; Computer science; Energy harvesting; Base station; Physical layer; Noma; Computer network; Correctness; Upper and lower bounds; Energy (signal processing); Electronic engineering; Wireless; Telecommunications; Telecommunications link; Engineering; Computer security; Mathematics; Power (physics); Algorithm; Physics","score_opus":0.010937156095660065,"score_gpt":0.18183014709506673,"score_spread":0.17089299099940666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043505399","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":[0.64314455,0.0032431092,0.3342253,0.0007205737,0.00015544255,0.000077474884,0.00034305404,0.00029620863,0.01779435],"genre_scores_gemma":[0.9966461,0.00029959818,0.0024237987,0.000025307578,0.000019540596,0.0000137805955,0.00003272528,0.0000066189987,0.0005325684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823713,0.00072908046,0.00009808618,0.00018632757,0.0003974514,0.00035189514],"domain_scores_gemma":[0.99340385,0.004500456,0.0007185398,0.00047372145,0.00078353495,0.00011988919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024525241,0.0013178028,0.0010813171,0.0006964214,0.0010245275,0.0017954763,0.0005343846,0.0011832285,0.001001732],"category_scores_gemma":[0.006287786,0.0004662832,0.00055826735,0.0008831918,0.0019377688,0.001664864,0.0017851024,0.00071572955,0.00036225907],"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":[0.00094431354,0.00009813452,0.0043236366,0.00035563108,0.00017626821,0.0007086386,0.00043912316,0.9143996,0.020697903,0.03909802,0.00063587894,0.018122835],"study_design_scores_gemma":[0.000030333735,0.0002950069,0.0011117073,0.000029206518,0.000060423834,0.00028923005,0.0001477568,0.9842502,0.006292439,0.0071783485,0.0002662465,0.00004917443],"about_ca_topic_score_codex":0.0020605018,"about_ca_topic_score_gemma":0.0015382972,"teacher_disagreement_score":0.0024525241,"about_ca_system_score_codex":0.0010305906,"about_ca_system_score_gemma":0.0012134776,"threshold_uncertainty_score":0.012970328},"labels":[],"label_agreement":null},{"id":"W3044676990","doi":"10.1109/tvt.2020.3011381","title":"An Online Self Cold Startup Methodology for PEM Fuel Cells in Vehicular Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Proton exchange membrane fuel cell; Fuel cells; Cold start (automotive); Automotive engineering; Engineering; Electrical engineering; Computer science; Nuclear engineering","score_opus":0.029382103700719357,"score_gpt":0.24984978507344618,"score_spread":0.22046768137272682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044676990","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":[0.029231992,0.0005382483,0.9669728,0.000045289813,0.000047411922,0.00007178266,0.000018582454,0.0005145772,0.002559303],"genre_scores_gemma":[0.7649137,0.00041387643,0.23046362,0.000041594685,0.000030299992,0.00013700424,0.00006549132,0.00008243213,0.0038520214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998567,0.000023685207,0.000005908987,0.00003556188,0.00006363711,0.000014354163],"domain_scores_gemma":[0.9999081,0.000025381354,0.000013410567,0.000017722929,0.000029828157,0.0000054888937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018999945,0.00042432483,0.0003000088,0.00035562538,0.00031771802,0.00035633738,0.0007198776,0.00035820674,0.0010644413],"category_scores_gemma":[0.00025435543,0.0001728034,0.00032283974,0.00018600057,0.0002481501,0.0004430896,0.00036426279,0.00042309513,0.00030882322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020560327,0.00015158477,0.00094606413,0.00043113393,0.000044260374,0.00018010514,0.0001964951,0.124583565,0.49881217,0.009807875,0.00091466156,0.36372647],"study_design_scores_gemma":[0.000018217934,0.0004859615,0.0010114214,0.00002410834,0.000029237408,0.00017251067,0.00005212122,0.66619706,0.3179097,0.0021999695,0.0118611455,0.000038544644],"about_ca_topic_score_codex":0.0007021025,"about_ca_topic_score_gemma":0.0010287988,"teacher_disagreement_score":0.0010644413,"about_ca_system_score_codex":0.00025315396,"about_ca_system_score_gemma":0.00028400222,"threshold_uncertainty_score":0.0035609603},"labels":[],"label_agreement":null},{"id":"W3049089382","doi":"10.1109/tvt.2020.3016239","title":"Optimal Resource Allocation in Cellular Networks With H2H/M2M Coexistence","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":23,"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 Victoria","funders":"","keywords":"Quality of service; Computer science; Resource allocation; Computer network; Cellular network; Key (lock); Cellular traffic; Radio resource management; The Internet; Resource management (computing); Resource (disambiguation); Distributed computing; Wireless; Telecommunications; Wireless network; Computer security","score_opus":0.01012800369903092,"score_gpt":0.20151235890372293,"score_spread":0.19138435520469202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049089382","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":[0.15126881,0.0016654523,0.8392923,0.0004579839,0.000102968916,0.00009625358,0.000052163054,0.00022682943,0.006837233],"genre_scores_gemma":[0.96538603,0.00019856717,0.0333878,0.000068667425,0.000026595017,0.000044683813,0.000020714057,0.000010362804,0.00085668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934393,0.00023056839,0.00002332583,0.000088759116,0.00011149442,0.00020183987],"domain_scores_gemma":[0.9992748,0.000459553,0.00007279437,0.00003314749,0.00010494903,0.00005481184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006396997,0.0006390288,0.0009127277,0.00060543517,0.0009091044,0.0010418891,0.00078886515,0.00091857114,0.00068039057],"category_scores_gemma":[0.002200129,0.0003142773,0.0002693415,0.00092999305,0.0008265521,0.0007534623,0.00086569885,0.00043919418,0.00012952246],"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":[0.00012220372,0.000037620062,0.0006360785,0.000032623655,0.000024507966,0.00010205617,0.000047827016,0.95900166,0.00195815,0.0065017142,0.0006814696,0.030854085],"study_design_scores_gemma":[0.000007732841,0.000019498977,0.00008714509,0.0000021199244,0.0000052154037,0.000021290589,0.000018826815,0.9967121,0.0003731492,0.0025482483,0.00020052788,0.0000041758976],"about_ca_topic_score_codex":0.008308511,"about_ca_topic_score_gemma":0.006944456,"teacher_disagreement_score":0.008308511,"about_ca_system_score_codex":0.0012750013,"about_ca_system_score_gemma":0.0012678704,"threshold_uncertainty_score":0.016520262},"labels":[],"label_agreement":null},{"id":"W3057233808","doi":"10.1109/tvt.2021.3103634","title":"Total Cost of Ownership Optimization for Direct Air-to-Ground Communication Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems 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":"Centre de Santé et de Services Sociaux Cavendish","funders":"EIT Digital","keywords":"Backhaul (telecommunications); Computer network; Beamforming; Computer science; Broadband; Base station; Software deployment; Mobile telephony; Engineering; Telecommunications; Mobile radio","score_opus":0.010426601281803803,"score_gpt":0.22788730254810993,"score_spread":0.21746070126630612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3057233808","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":[0.13026424,0.0016763282,0.84084994,0.0009141838,0.00011453225,0.00013512133,0.0005198404,0.00018514253,0.02534072],"genre_scores_gemma":[0.953761,0.0007118092,0.03879614,0.00013021813,0.000040022835,0.0001635078,0.00023898557,0.00010041427,0.00605797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994796,0.00021818855,0.000012214519,0.00006147651,0.00009383582,0.0001345724],"domain_scores_gemma":[0.99891126,0.00074789586,0.000093248265,0.000047492933,0.000115432646,0.00008477874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010090186,0.0014241529,0.0009918205,0.000605149,0.00038255952,0.0013538471,0.001093069,0.0010485298,0.004439601],"category_scores_gemma":[0.0024416347,0.00051330536,0.0005453465,0.0009078334,0.00076296355,0.001430425,0.0010851962,0.0008414745,0.00031186268],"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":[0.000032790416,0.00002204981,0.00028944385,0.000035468493,0.000014238123,0.000049842078,0.000013635958,0.9872047,0.00046008526,0.005934691,0.00085530925,0.00508774],"study_design_scores_gemma":[0.0000040948476,0.000020330643,0.00012922692,0.0000052839264,0.0000058349233,0.000016631697,0.00001901324,0.9971961,0.00013063951,0.0021806774,0.0002896068,0.0000025319018],"about_ca_topic_score_codex":0.004248805,"about_ca_topic_score_gemma":0.0039905477,"teacher_disagreement_score":0.004439601,"about_ca_system_score_codex":0.0018585621,"about_ca_system_score_gemma":0.0010928472,"threshold_uncertainty_score":0.014851928},"labels":[],"label_agreement":null},{"id":"W3067946886","doi":"10.1109/tvt.2020.3018114","title":"Joint Route Selection and Charging Discharging Scheduling of EVs in V2G Energy Network","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":83,"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 Waterloo; University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Renewable energy; Grid; Scheduling (production processes); Vehicle-to-grid; Electricity; Computer science; Charging station; Energy storage; Electric vehicle; Automotive engineering; Engineering; Electrical engineering; Power (physics); Operations management","score_opus":0.0063685408924830786,"score_gpt":0.1788826379683525,"score_spread":0.17251409707586943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3067946886","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":[0.45371643,0.0007352522,0.5340468,0.00054822123,0.00012540055,0.00022741315,0.0002921902,0.00063620706,0.0096720625],"genre_scores_gemma":[0.9783846,0.00010280963,0.020048581,0.000025194657,0.000009059901,0.000041675466,0.000086800246,0.00001734676,0.0012839256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996123,0.00012436375,0.000016828444,0.000089723675,0.00005595446,0.00010088144],"domain_scores_gemma":[0.9996755,0.00012952153,0.000056948484,0.000019991809,0.00006255283,0.000055427197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055351283,0.0009090045,0.00071976887,0.0005092092,0.0006278361,0.0007728681,0.0009153355,0.0005274867,0.0010587142],"category_scores_gemma":[0.000871315,0.00035068358,0.00040774918,0.0008131841,0.00043706122,0.0006692781,0.00047510825,0.00034407966,0.00011363698],"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":[0.000070569826,0.000023787841,0.0005961674,0.000022468073,0.000012886036,0.000056364675,0.00002168843,0.98588485,0.00078639033,0.0010847448,0.00037427442,0.011065783],"study_design_scores_gemma":[0.000008231435,0.00002935886,0.00021928972,0.0000015972527,0.00000657648,0.000018329376,0.000030381421,0.9981857,0.00032604003,0.00095264334,0.0002183419,0.000003425487],"about_ca_topic_score_codex":0.017016843,"about_ca_topic_score_gemma":0.016192727,"teacher_disagreement_score":0.017016843,"about_ca_system_score_codex":0.0010767601,"about_ca_system_score_gemma":0.0015809233,"threshold_uncertainty_score":0.03383553},"labels":[],"label_agreement":null},{"id":"W3081391242","doi":"10.1109/tvt.2020.3018740","title":"Low Complexity Least Minimum Symbol Error Rate Based Post-Distortion for Vehicular VLC","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Visible light communication; Bit error rate; Algorithm; Computer science; Distortion (music); Reproducing kernel Hilbert space; Computational complexity theory; Spectral efficiency; Interference (communication); Mathematics; Electronic engineering; Light-emitting diode; Telecommunications; Decoding methods; Bandwidth (computing); Hilbert space; Physics; Engineering; Channel (broadcasting); Optics","score_opus":0.029578621083000505,"score_gpt":0.24175220321317784,"score_spread":0.21217358213017734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081391242","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":[0.012797367,0.00015958455,0.9859138,0.00006261382,0.000030743173,0.000020407331,0.000020814055,0.00022579283,0.00076898414],"genre_scores_gemma":[0.54057765,0.000306198,0.4540504,0.000104942905,0.00005541543,0.000086265325,0.00019262676,0.00008978058,0.0045367857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995091,0.00008557132,0.00002259169,0.000063159794,0.00027674073,0.000042777807],"domain_scores_gemma":[0.9993343,0.0002823286,0.00008376914,0.00009441521,0.00017776004,0.000027409997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054512516,0.00064068876,0.0005416008,0.00020381178,0.00031278993,0.0006347652,0.00072420266,0.0006190343,0.0011719207],"category_scores_gemma":[0.0019301753,0.00022716526,0.00044188576,0.0002960604,0.00054524053,0.000542932,0.0008272728,0.0010535236,0.0005738296],"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":[0.00033168637,0.00008676317,0.0013098917,0.00017618897,0.00006597781,0.00019090546,0.00017885894,0.77434534,0.038102012,0.016263956,0.0017232108,0.1672252],"study_design_scores_gemma":[0.0000062100517,0.00009226721,0.00013682351,0.0000048053275,0.0000054031616,0.00006819604,0.00001029089,0.99049485,0.007714003,0.000782903,0.0006738348,0.000010451451],"about_ca_topic_score_codex":0.0016553813,"about_ca_topic_score_gemma":0.0020590601,"teacher_disagreement_score":0.0016553813,"about_ca_system_score_codex":0.0005251722,"about_ca_system_score_gemma":0.000964877,"threshold_uncertainty_score":0.003920436},"labels":[],"label_agreement":null},{"id":"W3081419215","doi":"10.1109/tvt.2020.3019376","title":"Wheel Modules With Distributed Controllers: A Multi-Agent Approach to Vehicular Control","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":29,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Chassis; Robustness (evolution); Control engineering; Modularity (biology); Flexibility (engineering); Distributed computing; Actuator; Vehicle dynamics; Computer science; Control system; Engineering; Architecture; Software portability; Embedded system; Automotive engineering","score_opus":0.008816370101176368,"score_gpt":0.18293030914565475,"score_spread":0.1741139390444784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081419215","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":[0.003894345,0.000250147,0.9931211,0.00009830936,0.000040240066,0.00002508162,0.0000055992045,0.00009152365,0.0024737574],"genre_scores_gemma":[0.7368693,0.0009070065,0.25438753,0.00013699864,0.00016675366,0.00021403507,0.00003941593,0.000059609094,0.0072194044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998053,0.000054641725,0.000008480636,0.000042557615,0.00006429275,0.000024892955],"domain_scores_gemma":[0.9998932,0.000023915685,0.000016633188,0.000017516739,0.000032850403,0.000015743663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003037908,0.0004947258,0.00044132804,0.00034781353,0.00032698366,0.00079197023,0.0011684847,0.0007288435,0.0010092624],"category_scores_gemma":[0.00038399544,0.00021056138,0.000442272,0.0003188368,0.000595377,0.0007084376,0.0009541133,0.00072377105,0.0002696087],"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":[0.000056453737,0.000063736385,0.00040910204,0.000108457716,0.00007656569,0.00019486544,0.00018728663,0.7307442,0.015486293,0.17324682,0.0012849086,0.07814138],"study_design_scores_gemma":[0.000013826614,0.000061849685,0.00006679477,0.000010273088,0.000012271988,0.000028061488,0.000016972157,0.9734055,0.0011402684,0.020735454,0.004500124,0.0000085778565],"about_ca_topic_score_codex":0.0017205259,"about_ca_topic_score_gemma":0.0017679099,"teacher_disagreement_score":0.0017205259,"about_ca_system_score_codex":0.00045886062,"about_ca_system_score_gemma":0.0005050231,"threshold_uncertainty_score":0.0034210682},"labels":[],"label_agreement":null},{"id":"W3081583343","doi":"10.1109/tvt.2020.3020933","title":"Statistical Energy Efficiency Characterization for Wireless Transmission Over Fading Channels","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fading; Computer science; Wireless; Transmission (telecommunications); Electronic engineering; Channel (broadcasting); Computer network; Efficient energy use; Telecommunications; Engineering; Electrical engineering","score_opus":0.008653572505328045,"score_gpt":0.21668971701090062,"score_spread":0.20803614450557256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081583343","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":[0.07255427,0.00074909895,0.9206175,0.00020009118,0.000028407178,0.000038916016,0.00016239985,0.00018328542,0.005465912],"genre_scores_gemma":[0.9750841,0.0010872366,0.021852555,0.00011928466,0.000097375596,0.00011125448,0.00019874872,0.00011450311,0.0013349436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865365,0.00042394813,0.000067420166,0.00014604145,0.00053566974,0.0001731963],"domain_scores_gemma":[0.99096996,0.0066565126,0.0006462976,0.00070251955,0.0009297752,0.0000949443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018342931,0.00093339203,0.0005484343,0.00090831186,0.00027170428,0.0009663206,0.00076831196,0.00051438925,0.0009989176],"category_scores_gemma":[0.010966784,0.00024037524,0.00036142135,0.0010139806,0.0011143219,0.0015865541,0.0006758367,0.0008416589,0.00028692628],"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":[0.00007643617,0.00007852742,0.0020056772,0.00009281106,0.000043661847,0.000105472354,0.00006799845,0.9002562,0.017150851,0.06258312,0.0005263805,0.017012943],"study_design_scores_gemma":[0.0000022295342,0.00006491905,0.00081902475,0.000011257821,0.0000106504185,0.00009668879,0.00002695308,0.9849593,0.004853755,0.008694066,0.0004487427,0.000012418148],"about_ca_topic_score_codex":0.00082989124,"about_ca_topic_score_gemma":0.0005725796,"teacher_disagreement_score":0.0018342931,"about_ca_system_score_codex":0.0008461641,"about_ca_system_score_gemma":0.00079799007,"threshold_uncertainty_score":0.009700775},"labels":[],"label_agreement":null},{"id":"W3081674976","doi":"10.1109/tvt.2020.3019061","title":"Edge Computing-Based Collaborative Vehicles 3D Mapping in Real Time","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":20,"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":"National Natural Science Foundation of China","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Real-time computing; Computer graphics (images); Artificial intelligence","score_opus":0.010411720128974664,"score_gpt":0.2089301203255908,"score_spread":0.19851840019661615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081674976","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":[0.028485293,0.000111630296,0.96827793,0.00007730074,0.00004588351,0.000030185012,0.000047353828,0.0010460343,0.0018783931],"genre_scores_gemma":[0.66165495,0.000165249,0.33329016,0.00008783928,0.000035018682,0.00008272728,0.000247087,0.00013395195,0.004302964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960643,0.000051483592,0.000015564805,0.00011611183,0.00015081646,0.00005950319],"domain_scores_gemma":[0.99975353,0.00004912703,0.000028716879,0.00006989341,0.00007482603,0.000023879893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027930734,0.0006540605,0.0006617448,0.0006979383,0.00055850623,0.0009667368,0.0012917011,0.0006597897,0.0016042887],"category_scores_gemma":[0.0007767185,0.0003537676,0.00060599775,0.00094610295,0.00042802337,0.0013662057,0.0013336887,0.0005466718,0.00060004345],"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":[0.0003367677,0.000111191854,0.0015069594,0.00006929283,0.0000684341,0.00023951955,0.0002817662,0.551254,0.025102427,0.0080253715,0.0035493427,0.4094549],"study_design_scores_gemma":[0.0000124998305,0.000036639885,0.00037869025,0.0000026320479,0.000010141388,0.00006079925,0.00006961581,0.9879232,0.0064969226,0.0028937678,0.0021019736,0.000013174102],"about_ca_topic_score_codex":0.0069904635,"about_ca_topic_score_gemma":0.0075195897,"teacher_disagreement_score":0.0069904635,"about_ca_system_score_codex":0.0004244747,"about_ca_system_score_gemma":0.0007224101,"threshold_uncertainty_score":0.013899565},"labels":[],"label_agreement":null},{"id":"W3082607014","doi":"10.1109/tvt.2020.3020298","title":"NOMA-Assisted On-Demand Transmissions for Monitoring Applications in Industrial IoT Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":21,"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 Waterloo","funders":"Program of Shanghai Academic Research Leader; National Natural Science Foundation of China","keywords":"Computer science; Transmission (telecommunications); Reliability (semiconductor); Decoding methods; Distributed computing; Computer network; Power (physics); Telecommunications","score_opus":0.03686331011114493,"score_gpt":0.25838026010957427,"score_spread":0.22151694999842933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082607014","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":[0.02177045,0.0003708772,0.97156966,0.00022219605,0.00013474171,0.00006411309,0.00007579431,0.00022326021,0.0055690184],"genre_scores_gemma":[0.86151457,0.0006217461,0.1322357,0.000350438,0.00017683973,0.0001996231,0.00016123046,0.0000563232,0.0046835993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989593,0.0004354158,0.000039688697,0.00015531968,0.00026276606,0.0001474486],"domain_scores_gemma":[0.99903524,0.0004570811,0.00012764893,0.00012663056,0.00020641249,0.000046988986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006759569,0.0010305572,0.0008098559,0.00054784334,0.0008826724,0.0008076418,0.0012400623,0.0006582362,0.0013199181],"category_scores_gemma":[0.0018455137,0.0003411241,0.00063463574,0.0009559327,0.0005538511,0.00096418464,0.0009366089,0.0009002297,0.00043129423],"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":[0.00048779527,0.000283536,0.0010886391,0.00039116995,0.000119142744,0.0005674401,0.0003308574,0.7079295,0.042425744,0.04158256,0.006277023,0.19851664],"study_design_scores_gemma":[0.000012801091,0.00009542962,0.00015286711,0.00000784977,0.000013593202,0.00011966154,0.000035864243,0.98987925,0.00325503,0.005271416,0.001142046,0.00001409044],"about_ca_topic_score_codex":0.0019077138,"about_ca_topic_score_gemma":0.0046954188,"teacher_disagreement_score":0.0019077138,"about_ca_system_score_codex":0.00056249165,"about_ca_system_score_gemma":0.0010566269,"threshold_uncertainty_score":0.0044155717},"labels":[],"label_agreement":null},{"id":"W3082613602","doi":"10.1109/tvt.2020.3021012","title":"Joint Scheduling and Precoding for mmWave and Sub-6GHz Dual-Mode Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":21,"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, Okanagan Campus; University of British Columbia","funders":"China Scholarship Council; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Precoding; Computer science; Scheduling (production processes); Transmission (telecommunications); Physical layer; Upper and lower bounds; Electronic engineering; Joint (building); Channel (broadcasting); Computer network; Wireless; Engineering; Telecommunications; MIMO; Mathematics","score_opus":0.02293028265975224,"score_gpt":0.21836362075458735,"score_spread":0.1954333380948351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082613602","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":[0.026233392,0.00040991238,0.97033215,0.00017920267,0.00005145311,0.000027159092,0.00004703908,0.0001310866,0.0025885995],"genre_scores_gemma":[0.78778076,0.0005816743,0.20722577,0.00013642531,0.00009310987,0.00011800819,0.00012786502,0.000039495648,0.0038969528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993963,0.00019350773,0.000029317114,0.00009707842,0.00014306625,0.00014071476],"domain_scores_gemma":[0.9993011,0.00029586657,0.00012675271,0.000096124466,0.00012880415,0.000051393996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007409909,0.00083086966,0.000659554,0.00033624924,0.0004034698,0.0008260963,0.0007401973,0.000483187,0.0013433235],"category_scores_gemma":[0.0020208508,0.0004237969,0.00035940943,0.0005598526,0.00048724114,0.0010606222,0.0011004742,0.0008476288,0.00030537922],"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":[0.0003714877,0.00011349975,0.0011977912,0.0001523371,0.00006335946,0.00020291275,0.00020592465,0.7789321,0.020288039,0.04266376,0.003200736,0.15260805],"study_design_scores_gemma":[0.000010568027,0.000044603217,0.00010941821,0.000005074184,0.0000072144153,0.00003708356,0.000024310184,0.9910609,0.0020749466,0.0059577143,0.00066055753,0.000007714976],"about_ca_topic_score_codex":0.0024653652,"about_ca_topic_score_gemma":0.0042163385,"teacher_disagreement_score":0.0024653652,"about_ca_system_score_codex":0.0006036372,"about_ca_system_score_gemma":0.0013540552,"threshold_uncertainty_score":0.004902005},"labels":[],"label_agreement":null},{"id":"W3085215956","doi":"10.1109/tvt.2020.3025371","title":"Improper Gaussian Signaling for Computationally Tractable Energy and Information Beamforming","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Institute for Computational Science and Technology; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Beamforming; Energy (signal processing); Decoding methods; Gaussian; Throughput; Computer science; Information transfer; Wireless; Transmitter power output; Electronic engineering; Power (physics); Energy harvesting; Maximum power transfer theorem; Wireless power transfer; Algorithm; Engineering; Telecommunications; Mathematics; Channel (broadcasting); Transmitter; Physics","score_opus":0.007057688994181543,"score_gpt":0.1827414712420006,"score_spread":0.17568378224781905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085215956","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":[0.0055689537,0.000101457365,0.9916716,0.00016783692,0.000020190035,0.00002089855,0.0000367133,0.000099743724,0.002312526],"genre_scores_gemma":[0.524472,0.0010737742,0.46941042,0.0004466196,0.00013937411,0.0002632292,0.00018650015,0.00007725001,0.003930729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849474,0.00063277467,0.00009166546,0.00015765945,0.0004430588,0.00018015443],"domain_scores_gemma":[0.9970925,0.0019841683,0.00022433358,0.0003824513,0.00023664042,0.000079912126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028365608,0.00095989,0.00061094156,0.00051072263,0.00038359207,0.0012985665,0.0007360886,0.0008639655,0.0020217318],"category_scores_gemma":[0.0059142336,0.00040602387,0.00047235773,0.0008942394,0.001553596,0.0018753383,0.0010219052,0.0018527559,0.0006705745],"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":[0.00025261607,0.00006385396,0.00040919977,0.000113348295,0.000022725399,0.00010968496,0.00011376751,0.25248376,0.015347854,0.67128295,0.0017039882,0.058096327],"study_design_scores_gemma":[0.00002170732,0.00005571358,0.00008106433,0.000020679596,0.000008637127,0.000056314057,0.000018519153,0.84504545,0.0037032743,0.14952955,0.0014421019,0.000017040642],"about_ca_topic_score_codex":0.00088793563,"about_ca_topic_score_gemma":0.0015205177,"teacher_disagreement_score":0.0028365608,"about_ca_system_score_codex":0.000839852,"about_ca_system_score_gemma":0.0015446424,"threshold_uncertainty_score":0.015001297},"labels":[],"label_agreement":null},{"id":"W3086566408","doi":"10.1109/tvt.2020.3023115","title":"Trailer Mass Estimation Using System Model-Based and Machine Learning Approaches","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":44,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation; General Motors Corporation","keywords":"Trailer; Towing; Artificial neural network; Tractor; Control theory (sociology); Stability (learning theory); Convergence (economics); Computer science; Vehicle dynamics; Engineering; Simulation; Automotive engineering; Artificial intelligence; Machine learning; Control (management)","score_opus":0.023259206594891595,"score_gpt":0.1868668528847226,"score_spread":0.16360764628983102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086566408","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":[0.024701746,0.00028979496,0.9722881,0.000068907546,0.000027177452,0.0000258563,0.000049975544,0.000609621,0.0019389444],"genre_scores_gemma":[0.93518007,0.00030888602,0.06151089,0.00005204221,0.00003503174,0.000082786,0.00016752922,0.000051306706,0.002611584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998192,0.000032062,0.000015265345,0.000054761425,0.000056819954,0.000021870224],"domain_scores_gemma":[0.9995819,0.00015789915,0.000095622745,0.00003958581,0.00011359533,0.000011494272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039058173,0.000919905,0.0007020075,0.000719641,0.00035236456,0.0006395062,0.00055693387,0.00065793924,0.0012323345],"category_scores_gemma":[0.0012206464,0.00036212182,0.0004918918,0.00044735125,0.0003583917,0.0009864494,0.00061416253,0.0006731713,0.00036862513],"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":[0.000039327613,0.00002409268,0.0012701243,0.00010487364,0.000048790498,0.00006667662,0.000043774784,0.93992364,0.0046474934,0.0018698736,0.00034305512,0.051618353],"study_design_scores_gemma":[0.0000011361503,0.000007815527,0.00019854064,0.0000035265662,0.000003438768,0.000006438554,0.0000034143836,0.99861,0.0005599039,0.0004634839,0.00013876123,0.0000034821646],"about_ca_topic_score_codex":0.0071345633,"about_ca_topic_score_gemma":0.005819681,"teacher_disagreement_score":0.0071345633,"about_ca_system_score_codex":0.00057313463,"about_ca_system_score_gemma":0.00064613984,"threshold_uncertainty_score":0.014186084},"labels":[],"label_agreement":null},{"id":"W3087814763","doi":"10.1109/tvt.2020.3026004","title":"Autonomous PEV Charging Scheduling Using Dyna-Q Reinforcement Learning","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":39,"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 Waterloo; Toronto Metropolitan University; Bell (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Markov decision process; Q-learning; Computer science; Scheduling (production processes); Markov process; Artificial intelligence; Artificial neural network; Bellman equation; Markov chain; State space; Mathematical optimization; Simulation; Machine learning; Mathematics","score_opus":0.009543680068389623,"score_gpt":0.20607072663567796,"score_spread":0.19652704656728834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087814763","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":[0.052448798,0.00023385834,0.9425352,0.0002972613,0.00008476544,0.00007494047,0.00004581229,0.0007253834,0.0035538706],"genre_scores_gemma":[0.9711675,0.000056439323,0.026930794,0.00008200431,0.000016320819,0.00006475369,0.000039686023,0.000027340417,0.0016150835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971944,0.000068682835,0.000014469973,0.00006893561,0.000064533924,0.00006393689],"domain_scores_gemma":[0.9993888,0.0003142187,0.00009275594,0.000032332653,0.00010693711,0.00006477668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066181534,0.000681324,0.0009638682,0.00027460622,0.00039038516,0.00061256776,0.0012074106,0.0006648451,0.0016832654],"category_scores_gemma":[0.0014685743,0.00045480835,0.00036988908,0.00025977375,0.00053069514,0.0006318953,0.0007523689,0.0009318086,0.00019712413],"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":[0.000057157384,0.000057000394,0.0006141418,0.00003112184,0.000021327236,0.000057590074,0.00003141389,0.972638,0.0010981275,0.0023801094,0.0005880443,0.022425963],"study_design_scores_gemma":[0.0000068066042,0.0000124023045,0.000040183888,0.0000010144852,0.0000021325336,0.0000044928065,0.0000025063366,0.9992061,0.00010863555,0.00049714814,0.00011701982,0.0000014939326],"about_ca_topic_score_codex":0.009340143,"about_ca_topic_score_gemma":0.006920676,"teacher_disagreement_score":0.009340143,"about_ca_system_score_codex":0.0007073174,"about_ca_system_score_gemma":0.0015966501,"threshold_uncertainty_score":0.018571556},"labels":[],"label_agreement":null},{"id":"W3087878340","doi":"10.1109/tvt.2020.3025746","title":"Stochastic Geometry Based Performance Characterization of SWIPT in Cell-Free Massive MIMO","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":22,"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; Concordia University","funders":"","keywords":"Beamforming; Fading; Energy harvesting; Telecommunications link; MIMO; Path loss; Computer science; Channel state information; Poisson point process; Stochastic geometry; Throughput; Non-line-of-sight propagation; Energy (signal processing); Electronic engineering; Maximum power transfer theorem; Channel (broadcasting); Wireless; Engineering; Computer network; Power (physics); Telecommunications; Poisson distribution; Mathematics; Statistics","score_opus":0.006590678513854048,"score_gpt":0.17401170223539789,"score_spread":0.16742102372154383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087878340","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":[0.4677162,0.000833912,0.518464,0.00045416816,0.000060750164,0.00008279801,0.00049165206,0.00051002274,0.011386476],"genre_scores_gemma":[0.9954531,0.00021729921,0.0037420609,0.00003483508,0.000018559724,0.000020495074,0.00007302808,0.00001578825,0.0004250021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998944,0.00032302752,0.000033599717,0.00015983822,0.00032843748,0.00021116745],"domain_scores_gemma":[0.9938253,0.0041116825,0.0009852902,0.00038091926,0.00048992806,0.00020685633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011911036,0.001063211,0.0008900508,0.00067577395,0.000428324,0.001038312,0.00093645236,0.0008717431,0.0006699044],"category_scores_gemma":[0.006048304,0.00045994297,0.00044753723,0.0007875031,0.0014544235,0.0010786683,0.0010827247,0.00057472533,0.00023987616],"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":[0.00010079039,0.000035413097,0.00216516,0.000075555785,0.000039174876,0.0003855387,0.0000849999,0.9583228,0.014788141,0.019892627,0.00029279763,0.0038169336],"study_design_scores_gemma":[0.0000035250441,0.000073862946,0.0012084654,0.000004417961,0.0000089034775,0.00016856022,0.000021761856,0.99310195,0.0021515638,0.0031356656,0.00010468259,0.000016690678],"about_ca_topic_score_codex":0.0015587884,"about_ca_topic_score_gemma":0.0012528289,"teacher_disagreement_score":0.0015587884,"about_ca_system_score_codex":0.0012244579,"about_ca_system_score_gemma":0.0006604018,"threshold_uncertainty_score":0.008884132},"labels":[],"label_agreement":null},{"id":"W3092396444","doi":"10.1109/tvt.2020.3029067","title":"Performance Analysis and Optimization of Bidirectional Overlay Cognitive Radio Networks With Hybrid-SWIPT","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":39,"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 Saskatchewan","funders":"University of Saskatchewan","keywords":"Cognitive radio; Relay; Energy harvesting; Maximum power transfer theorem; Wireless; Fading; Transmission (telecommunications); Energy (signal processing); Overlay","score_opus":0.005191093176216054,"score_gpt":0.176118828903641,"score_spread":0.17092773572742495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092396444","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":[0.30123258,0.0010002041,0.6799187,0.0002650405,0.000040560433,0.000058523437,0.000073704716,0.00020153084,0.017209157],"genre_scores_gemma":[0.9918703,0.00023264455,0.007137516,0.000016059637,0.000006570253,0.000026276777,0.00001600298,0.000009483523,0.0006851031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943763,0.00019643086,0.000015325699,0.00007405235,0.00015338312,0.0001231077],"domain_scores_gemma":[0.9991456,0.0004587077,0.00013845578,0.00003986625,0.00017661993,0.00004078858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002045,0.00094537943,0.0007529086,0.0003802599,0.0003415662,0.0011062135,0.0008075448,0.0006458446,0.0006025855],"category_scores_gemma":[0.0018737287,0.00028384195,0.0003961405,0.00059828686,0.00072112837,0.0006707033,0.0009890646,0.0003542217,0.00009975913],"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":[0.000049716335,0.000021559503,0.00046478218,0.000038695456,0.000024462708,0.00008422915,0.000027007241,0.98814034,0.0020693333,0.0026699144,0.00010251795,0.0063074064],"study_design_scores_gemma":[0.0000018036744,0.000028101056,0.00009545356,0.0000015294307,0.0000062509916,0.000011101318,0.000011950672,0.9989121,0.0002603824,0.00062721316,0.000042011885,0.0000021843036],"about_ca_topic_score_codex":0.003555488,"about_ca_topic_score_gemma":0.0027414386,"teacher_disagreement_score":0.003555488,"about_ca_system_score_codex":0.0010200333,"about_ca_system_score_gemma":0.0010033485,"threshold_uncertainty_score":0.0074008703},"labels":[],"label_agreement":null},{"id":"W3092446327","doi":"10.1109/tvt.2020.3029606","title":"Subchannel Allocation Based on Clustered Interference Alignment for Differentiated Data Streams in Dense Small Cell Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems 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":false,"ca_institutions":"Memorial University of Newfoundland","funders":"China Postdoctoral Science Foundation; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Partition (number theory); Cluster analysis; Computer science; Overhead (engineering); Data stream mining; Interference (communication); Data stream; Distributed computing; Algorithm; Computer network; Mathematics; Data mining; Channel (broadcasting); Telecommunications","score_opus":0.024940325574370908,"score_gpt":0.22109028593845112,"score_spread":0.19614996036408022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092446327","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":[0.07937151,0.00020318398,0.91774213,0.0000890578,0.000021795871,0.00007708391,0.000039989918,0.00015380928,0.0023014138],"genre_scores_gemma":[0.8938446,0.00013128528,0.10480579,0.00006721645,0.0000229102,0.00008274708,0.000047133162,0.000030354271,0.0009680865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927944,0.00027774202,0.000020350282,0.00010611101,0.00014884473,0.00016740845],"domain_scores_gemma":[0.9992101,0.00041996536,0.00008978428,0.00008642247,0.00012276223,0.00007085256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005939518,0.0007927589,0.0007691801,0.00044343967,0.00048476798,0.0005572782,0.0009428464,0.00039519052,0.0010000966],"category_scores_gemma":[0.0015666136,0.00028671382,0.00028233646,0.0009898456,0.00059732085,0.0006991839,0.00080529705,0.00043091495,0.00016124202],"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":[0.0001761625,0.00009959514,0.000678529,0.00006411914,0.000040972503,0.00009147456,0.000100983285,0.9293477,0.01128838,0.012637577,0.00096486154,0.044509605],"study_design_scores_gemma":[0.000013832344,0.00005130471,0.00016245297,0.0000024277572,0.000006991544,0.000029644107,0.00003281263,0.9936294,0.0017882043,0.004005111,0.0002715461,0.000006162818],"about_ca_topic_score_codex":0.0028565612,"about_ca_topic_score_gemma":0.0038809613,"teacher_disagreement_score":0.0028565612,"about_ca_system_score_codex":0.0009044605,"about_ca_system_score_gemma":0.0010766032,"threshold_uncertainty_score":0.0065622926},"labels":[],"label_agreement":null},{"id":"W3093667330","doi":"10.1109/tvt.2020.3033288","title":"Energy-Efficient and Delay-Fair Mobile Computation Offloading","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","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":"McMaster University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Computation offloading; Computer science; Energy consumption; Latency (audio); Mobile edge computing; Channel (broadcasting); Computation; Throughput; Efficient energy use; Mobile device; Distributed computing; Computer network; Edge computing; Enhanced Data Rates for GSM Evolution; Wireless; Algorithm; Server; Engineering","score_opus":0.01057990592944924,"score_gpt":0.21793676853231086,"score_spread":0.20735686260286162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093667330","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":[0.039098524,0.0003112534,0.95547366,0.00012175347,0.000044867378,0.00006552366,0.000036642814,0.0002376889,0.004610016],"genre_scores_gemma":[0.9199394,0.00022856105,0.077029936,0.00005405981,0.000035105873,0.00006466991,0.000044380773,0.000058916496,0.0025450177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946064,0.00009754284,0.000016723221,0.00010635326,0.00016014632,0.00015863145],"domain_scores_gemma":[0.9996105,0.00020180669,0.000043418084,0.000046755536,0.000063336665,0.000034169163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049608346,0.00085067877,0.00086964166,0.0004272708,0.0007464219,0.0010961619,0.0010940748,0.00057225744,0.001383238],"category_scores_gemma":[0.001421726,0.00028401276,0.0003955133,0.00067957566,0.0006124355,0.0012081249,0.0010072433,0.00062659,0.00022981215],"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":[0.00017173034,0.00009868163,0.0005305642,0.00006028428,0.000018541023,0.00012422576,0.00007442703,0.9149952,0.011616976,0.01789197,0.0011417184,0.05327569],"study_design_scores_gemma":[0.000004256197,0.000015917727,0.00005996275,0.000002204246,0.0000033514618,0.000021971218,0.0000135142,0.99554634,0.0013924843,0.0026023258,0.00033388607,0.0000037690627],"about_ca_topic_score_codex":0.0038153713,"about_ca_topic_score_gemma":0.005845883,"teacher_disagreement_score":0.0038153713,"about_ca_system_score_codex":0.00094832934,"about_ca_system_score_gemma":0.001246214,"threshold_uncertainty_score":0.00758636},"labels":[],"label_agreement":null},{"id":"W3093860331","doi":"10.1109/tvt.2020.3032375","title":"Transparent and Accountable Vehicular Local Advertising With Practical Blockchain Designs","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Queen's University; University of Waterloo","funders":"","keywords":"Computer science; Blockchain; Transparency (behavior); Modular design; Computer security; Smart contract; Database","score_opus":0.02416590575088513,"score_gpt":0.2531821133268565,"score_spread":0.22901620757597135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093860331","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":[0.08710454,0.00035909793,0.90018237,0.00040142413,0.00007042509,0.00045185312,0.0001912484,0.000751004,0.0104881115],"genre_scores_gemma":[0.91838,0.00021991867,0.07611495,0.00006640041,0.000024567662,0.00025000414,0.00014821213,0.000043476368,0.004752462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777323,0.00069812033,0.0001924924,0.0003384188,0.00070004707,0.0002976869],"domain_scores_gemma":[0.9966756,0.001020947,0.00036079518,0.001083393,0.0006402519,0.00021889409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017252048,0.0004856361,0.00056802126,0.0004281448,0.0009784265,0.0018843873,0.0013458316,0.0008879741,0.0046802983],"category_scores_gemma":[0.0046601146,0.0004097514,0.00036380382,0.00065986486,0.0012802015,0.0027865109,0.0021083802,0.000968955,0.0010324026],"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":[0.0010150903,0.0002553838,0.0029962733,0.00035907942,0.00008369014,0.0009066913,0.0009900172,0.56111145,0.037016224,0.28312823,0.0030496668,0.10908825],"study_design_scores_gemma":[0.00011997099,0.00023441714,0.00019810947,0.00003165018,0.00003677593,0.000247123,0.00011452626,0.90056604,0.011476917,0.07861734,0.008324266,0.00003273097],"about_ca_topic_score_codex":0.002534757,"about_ca_topic_score_gemma":0.0031960951,"teacher_disagreement_score":0.0046802983,"about_ca_system_score_codex":0.0011566553,"about_ca_system_score_gemma":0.0024008765,"threshold_uncertainty_score":0.015657187},"labels":[],"label_agreement":null},{"id":"W3094099748","doi":"10.1109/tvt.2020.3032989","title":"An MPC-Based Control Strategy for Electric Vehicle Battery Cooling Considering Energy Saving and Battery Lifespan","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"State Key Laboratory of Automotive Safety and Energy; National Natural Science Foundation of China","keywords":"Battery (electricity); Battery pack; Model predictive control; Driving cycle; Controller (irrigation); Electric vehicle; Engineering; Automotive engineering; Control theory (sociology); Electric-vehicle battery; Computer science; Control (management)","score_opus":0.01810334609703727,"score_gpt":0.2471748422609148,"score_spread":0.22907149616387754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094099748","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":[0.104450405,0.000770582,0.87284386,0.0003070166,0.00015462666,0.000115640614,0.0000739855,0.0010006577,0.020283272],"genre_scores_gemma":[0.9894455,0.00012921264,0.007033754,0.000044416593,0.000021264357,0.0000620908,0.00003958247,0.000017015851,0.0032071867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982625,0.000022354498,0.000007459978,0.000050282946,0.000055576995,0.000038053273],"domain_scores_gemma":[0.9998698,0.00002616405,0.000024978463,0.000008413184,0.00006077456,0.00000972416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002916844,0.0008105244,0.00058162276,0.000295355,0.0004071939,0.00068936154,0.00072388735,0.00041867673,0.0011841479],"category_scores_gemma":[0.00041417356,0.00024872026,0.000381291,0.00028716112,0.00033473558,0.00043644462,0.0004987329,0.0005313225,0.00018802228],"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":[0.00014991892,0.00007558172,0.000606431,0.0001251638,0.000039955146,0.00011968056,0.0000844386,0.93245393,0.009860624,0.0029924994,0.001248683,0.05224308],"study_design_scores_gemma":[0.000014290911,0.00008036665,0.0002850827,0.000006986954,0.000015202893,0.00001733166,0.000012412087,0.99687105,0.0015215339,0.00058449607,0.00058530766,0.0000058178325],"about_ca_topic_score_codex":0.0104414,"about_ca_topic_score_gemma":0.0072378465,"teacher_disagreement_score":0.0104414,"about_ca_system_score_codex":0.0005193425,"about_ca_system_score_gemma":0.0008526784,"threshold_uncertainty_score":0.020761251},"labels":[],"label_agreement":null},{"id":"W3094216785","doi":"10.1109/tvt.2020.3034529","title":"Comments on “Precoding and Artificial Noise Design for Cognitive MIMOME Wiretap Channels”","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Karush–Kuhn–Tucker conditions; Secrecy; Bounded function; Maximization; Convergence (economics); Mathematical optimization; Sequence (biology); Precoding; Computer science; Artificial noise; Point (geometry); Regular polygon; Rate of convergence; Mathematics; Channel (broadcasting); Wireless; Telecommunications; Physical layer","score_opus":0.05976992722837755,"score_gpt":0.28264019401257734,"score_spread":0.2228702667841998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094216785","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002058402,0.0038465327,0.020940049,0.854936,0.10793093,0.000091043556,0.00078661373,0.00057761226,0.008832858],"genre_scores_gemma":[0.06268455,0.00503661,0.018428745,0.7745635,0.10124259,0.00035609226,0.00043132636,0.0006124981,0.036644075],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98918927,0.0032081087,0.0008340535,0.001341984,0.004646687,0.00077988417],"domain_scores_gemma":[0.9663756,0.017229911,0.0014699191,0.0012141303,0.01304493,0.0006654478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007799643,0.0013865352,0.0012165207,0.00093777553,0.002328881,0.0019473704,0.0046354546,0.013582636,0.010765527],"category_scores_gemma":[0.055357635,0.00069887645,0.0014122972,0.001081043,0.003507748,0.0036834893,0.0018208799,0.013101713,0.0063184164],"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":[0.000100486475,0.000021694988,0.00017451185,0.00018273623,0.000018269431,0.00031023173,0.00031846002,0.0009948305,0.00057457364,0.02060017,0.9704716,0.0062324163],"study_design_scores_gemma":[0.00009520153,0.0001412804,0.0016133221,0.00041228303,0.000071766895,0.00051310105,0.0005995477,0.009632521,0.0047303587,0.05430441,0.9275777,0.00030865954],"about_ca_topic_score_codex":0.013702542,"about_ca_topic_score_gemma":0.008030969,"teacher_disagreement_score":0.013702542,"about_ca_system_score_codex":0.0035783297,"about_ca_system_score_gemma":0.0036683711,"threshold_uncertainty_score":0.041248918},"labels":[],"label_agreement":null},{"id":"W3098222389","doi":"10.1109/tvt.2020.3037152","title":"Optimal Resource Allocation for RF-Powered Underlay Cognitive Radio Networks With Ambient Backscatter Communication","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":68,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Underlay; Transmitter power output; Cognitive radio; Throughput; Computer science; Radio frequency; Power control; Interference (communication); Electronic engineering; Radio resource management; Optimization problem; Computer network; Transmitter; Wireless; Power (physics); Engineering; Telecommunications; Wireless network; Signal-to-noise ratio (imaging); Channel (broadcasting); Algorithm; Physics","score_opus":0.011026746194231872,"score_gpt":0.20780302925023295,"score_spread":0.19677628305600106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098222389","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":[0.09814451,0.0013528115,0.8955074,0.00028815202,0.00007224151,0.000065485096,0.000053152868,0.00011630465,0.0043998966],"genre_scores_gemma":[0.96644074,0.00051952264,0.03149418,0.00007788285,0.00004435841,0.00006936398,0.000025462936,0.000016286582,0.0013122549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999395,0.00021540534,0.000017616929,0.00010309184,0.00009856061,0.00017028268],"domain_scores_gemma":[0.9993476,0.00037857913,0.0001138336,0.000028190738,0.00008639366,0.00004536148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077678356,0.0010365824,0.0011775761,0.00043803538,0.00041755772,0.0010865813,0.00085034897,0.00070910895,0.0010909095],"category_scores_gemma":[0.0017181417,0.0003739403,0.00038912226,0.0006140689,0.00077529013,0.00094205706,0.0010212472,0.0006425768,0.00014754737],"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":[0.0001527508,0.00006675951,0.00042020355,0.00008975099,0.000059094287,0.00016861355,0.00008277551,0.96462214,0.0042663305,0.010212487,0.00068661117,0.019172514],"study_design_scores_gemma":[0.000011012185,0.000034796507,0.00008076123,0.000002956338,0.000011230076,0.000020565192,0.000019513394,0.99703145,0.00032293462,0.0023002115,0.0001593487,0.000005094676],"about_ca_topic_score_codex":0.0031382754,"about_ca_topic_score_gemma":0.0028103483,"teacher_disagreement_score":0.0031382754,"about_ca_system_score_codex":0.0007481221,"about_ca_system_score_gemma":0.0010051233,"threshold_uncertainty_score":0.0062400103},"labels":[],"label_agreement":null},{"id":"W3098810376","doi":"10.1109/tvt.2020.3038918","title":"Preemptive SDN Load Balancing With Machine Learning for Delay Sensitive Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Autoregressive integrated moving average; Scalability; Benchmark (surveying); Forwarding plane; Latency (audio); Distributed computing; Schedule; Load balancing (electrical power); Grid; Time series; Machine learning; Computer network","score_opus":0.009302616735514888,"score_gpt":0.21077708171937362,"score_spread":0.20147446498385874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098810376","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":[0.06073826,0.0007613353,0.9341934,0.00044081433,0.00011005029,0.000068267625,0.000056645364,0.0011288435,0.0025024293],"genre_scores_gemma":[0.94548064,0.00018938944,0.05261456,0.00014701481,0.00006182414,0.00007714299,0.00007584842,0.000042910997,0.0013105457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952614,0.00010590274,0.00002797315,0.00013498483,0.0001069052,0.00009814373],"domain_scores_gemma":[0.9987035,0.000761428,0.00017318795,0.00007301348,0.00022279013,0.00006612045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011962411,0.00089530164,0.00091270765,0.0004138809,0.0005573555,0.0007967892,0.0013575915,0.00065788964,0.0013777562],"category_scores_gemma":[0.0026447529,0.00035847526,0.00040254527,0.0004701696,0.00052932836,0.0009474985,0.0007195919,0.0013688821,0.00020218841],"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":[0.000079151374,0.000088924666,0.0005988621,0.000035788056,0.000019372716,0.000027549098,0.000026922273,0.94971794,0.001068538,0.0019672886,0.0006218264,0.045747846],"study_design_scores_gemma":[0.000002842356,0.0000062831227,0.00002499479,0.0000010442551,0.0000012789286,0.0000016234472,0.0000014951532,0.99921894,0.00012741673,0.0005677184,0.000045388828,9.441611e-7],"about_ca_topic_score_codex":0.00901904,"about_ca_topic_score_gemma":0.007852987,"teacher_disagreement_score":0.00901904,"about_ca_system_score_codex":0.0011936693,"about_ca_system_score_gemma":0.0016657733,"threshold_uncertainty_score":0.01793313},"labels":[],"label_agreement":null},{"id":"W3102129050","doi":"10.1109/tvt.2020.3037239","title":"A Joint Design of Platoon Communication and Control Based on LTE-V2V","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":72,"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 Waterloo","funders":"National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization; Ng Teng Fong Charitable Foundation; National Natural Science Foundation of China","keywords":"Platoon; Engineering; Controller (irrigation); Position (finance); Scheme (mathematics); Computer science; Control (management); Control engineering; Automotive engineering; Simulation; Artificial intelligence","score_opus":0.012621151321767835,"score_gpt":0.18229195194627637,"score_spread":0.16967080062450854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102129050","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":[0.013761095,0.00021527326,0.9823331,0.00011696627,0.00007361755,0.000086407956,0.000024335463,0.00044841671,0.0029408],"genre_scores_gemma":[0.94161415,0.00015080794,0.056315344,0.000103066035,0.000041061754,0.00016115625,0.00005665852,0.000014965967,0.0015428005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994174,0.000119250326,0.000037617938,0.0001322541,0.00019317715,0.00010030954],"domain_scores_gemma":[0.9996569,0.000051723797,0.0000583247,0.00005147942,0.00015190413,0.000029644127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045236546,0.0006353075,0.00037668116,0.00029154762,0.00047742794,0.00050941575,0.0008199008,0.0004419888,0.0007308407],"category_scores_gemma":[0.00071836176,0.00019559189,0.0003281604,0.00020494942,0.00038870203,0.00042661722,0.00067545165,0.00045946336,0.0002052095],"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":[0.00039258855,0.00014013697,0.002613158,0.00020620441,0.00012410287,0.00044154024,0.00030707614,0.639872,0.07572357,0.027320769,0.004570347,0.24828856],"study_design_scores_gemma":[0.000029563165,0.00023608719,0.0003384584,0.00000873723,0.000023175333,0.00009408891,0.000024902969,0.9886933,0.00636047,0.0018491814,0.002326551,0.000015452448],"about_ca_topic_score_codex":0.006412282,"about_ca_topic_score_gemma":0.0066491044,"teacher_disagreement_score":0.006412282,"about_ca_system_score_codex":0.0005171364,"about_ca_system_score_gemma":0.0012228918,"threshold_uncertainty_score":0.01274991},"labels":[],"label_agreement":null},{"id":"W3108573523","doi":"10.1109/tvt.2020.3040817","title":"Formal Verification and Performance Analysis of a New Data Exchange Protocol for Connected Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed systems and fault tolerance","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 Ottawa","funders":"","keywords":"MQTT; Computer science; Message queue; Correctness; Protocol (science); Promela; Workload; Computer network; Context (archaeology); Distributed computing; Protocol data unit; Real-time computing; Model checking; Database; Embedded system; Operating system; Programming language; Network packet","score_opus":0.059836279401445695,"score_gpt":0.2963799131618651,"score_spread":0.23654363376041943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108573523","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":[0.030679004,0.00017585701,0.9637605,0.00031010204,0.00009103109,0.00023969414,0.00014502926,0.0013297988,0.0032689632],"genre_scores_gemma":[0.8060341,0.00034669798,0.18883628,0.00013903237,0.00008855101,0.0004996893,0.00038805365,0.00021764658,0.003449869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99373806,0.001530451,0.00042942414,0.00075525255,0.00302496,0.0005218228],"domain_scores_gemma":[0.9923815,0.004373857,0.00066133554,0.0010582716,0.001390459,0.00013458775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004540196,0.00068184984,0.00060586777,0.0011416837,0.0007704312,0.0024723245,0.0015621441,0.0011636845,0.0025457612],"category_scores_gemma":[0.013926051,0.0005185144,0.0014318322,0.0005939999,0.0024125343,0.0023166067,0.0020807388,0.0017399896,0.00034979722],"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":[0.0003662754,0.00029740727,0.0028023692,0.00070560916,0.0001544468,0.0010627691,0.0006044709,0.5280278,0.029041436,0.3947007,0.0018012578,0.04043548],"study_design_scores_gemma":[0.00008696368,0.0001521817,0.0003020318,0.000050948533,0.00006174734,0.00015288386,0.00004356147,0.95055956,0.011766747,0.031903103,0.004893191,0.000027173895],"about_ca_topic_score_codex":0.0045947228,"about_ca_topic_score_gemma":0.0024215886,"teacher_disagreement_score":0.0045947228,"about_ca_system_score_codex":0.0018969381,"about_ca_system_score_gemma":0.0032201644,"threshold_uncertainty_score":0.024011135},"labels":[],"label_agreement":null},{"id":"W3112503563","doi":"10.1109/tvt.2020.3043203","title":"Accurate Image-Based Pedestrian Detection With Privacy Preservation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Biometric Identification and Security","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":"Queen's University; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Encryption; Pedestrian detection; Computer science; Support vector machine; Histogram; Pedestrian; Kernel (algebra); Overhead (engineering); Feature extraction; Block (permutation group theory); Artificial intelligence; Computer vision; Homomorphic encryption; Pattern recognition (psychology); Image (mathematics); Mathematics; Engineering; Computer network","score_opus":0.024523704978946025,"score_gpt":0.24034494850724908,"score_spread":0.21582124352830306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112503563","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":[0.0448963,0.0007798618,0.9494431,0.00022747037,0.00015362469,0.00009365309,0.00022258851,0.00158392,0.002599471],"genre_scores_gemma":[0.7881279,0.0007604898,0.20558195,0.00023228492,0.00014126317,0.00009029537,0.0005109082,0.00006506815,0.004489807],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977851,0.00047046447,0.00011862115,0.00042628238,0.000917402,0.00028212354],"domain_scores_gemma":[0.9978683,0.0003246793,0.00026791243,0.0010781556,0.00037733096,0.000083573694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010456681,0.0008011628,0.0012257268,0.0010642679,0.0006088185,0.0010521564,0.0010847584,0.00094490673,0.0016227523],"category_scores_gemma":[0.0031265186,0.0004680487,0.00077043666,0.0012556555,0.00067112176,0.002829633,0.0023107019,0.0010054619,0.0014448653],"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":[0.0018431842,0.00029585612,0.007168153,0.00047506773,0.0002166134,0.0012100637,0.00040072834,0.057378132,0.12799335,0.03279187,0.010367675,0.7598592],"study_design_scores_gemma":[0.00007759659,0.00053838163,0.0047893855,0.00006280213,0.00015067717,0.004080407,0.00019105342,0.7598654,0.18803938,0.023198092,0.01886396,0.00014281238],"about_ca_topic_score_codex":0.0005942511,"about_ca_topic_score_gemma":0.0005238216,"teacher_disagreement_score":0.0016227523,"about_ca_system_score_codex":0.0005238344,"about_ca_system_score_gemma":0.0006506878,"threshold_uncertainty_score":0.005530119},"labels":[],"label_agreement":null},{"id":"W3114622139","doi":"10.1109/tvt.2020.3046052","title":"Holistic Adaptive Multi-Model Predictive Control for the Path Following of 4WID Autonomous Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":93,"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 Waterloo","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"CarSim; Control theory (sociology); Model predictive control; Controller (irrigation); Engineering; Control engineering; Adaptive control; Convergence (economics); Vehicle dynamics; Computer science; Control (management); Automotive engineering; Artificial intelligence","score_opus":0.016232053945719787,"score_gpt":0.21796015170716396,"score_spread":0.20172809776144418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114622139","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":[0.04046383,0.00040489438,0.95567083,0.00007388774,0.00007064936,0.000023786957,0.000027657557,0.0003411179,0.002923322],"genre_scores_gemma":[0.9770116,0.00016671975,0.021555755,0.00003368273,0.000023621431,0.000041730407,0.00004447291,0.000010160158,0.0011123192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984396,0.00002014906,0.0000062029835,0.00004303897,0.000062318744,0.000024254856],"domain_scores_gemma":[0.9998925,0.00001968544,0.00003118019,0.000011319155,0.00003562571,0.000009618314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024567216,0.00059072225,0.00050791295,0.00022187075,0.0003397849,0.00037656393,0.0006891352,0.0003106194,0.0007318548],"category_scores_gemma":[0.00027931103,0.00025503826,0.0004166049,0.00023820487,0.00031371904,0.0004216147,0.00080759247,0.0005843883,0.0001367102],"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":[0.0000784623,0.000026622562,0.00056722073,0.00009861162,0.000052066665,0.00013467381,0.00008604718,0.91742235,0.013066571,0.0039137146,0.0005364966,0.064017124],"study_design_scores_gemma":[0.000004345782,0.000064607964,0.00017973171,0.0000026569517,0.000006144524,0.000012753452,0.0000057850757,0.99825746,0.00051808316,0.00052712107,0.00041713283,0.0000040758096],"about_ca_topic_score_codex":0.003928981,"about_ca_topic_score_gemma":0.004074897,"teacher_disagreement_score":0.003928981,"about_ca_system_score_codex":0.0002519423,"about_ca_system_score_gemma":0.00050116994,"threshold_uncertainty_score":0.0078122616},"labels":[],"label_agreement":null},{"id":"W3116537583","doi":"10.1109/tvt.2020.3046413","title":"Automated Decision System to Exploit Network Diversity for Connected Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","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":"Université de Montréal","funders":"","keywords":"Exploit; Computer science; Decision tree; Tree (set theory); Replicate; Latency (audio); Process (computing); Data mining; Machine learning; Real-time computing; Distributed computing","score_opus":0.012548842071115894,"score_gpt":0.2103928604034281,"score_spread":0.19784401833231222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116537583","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":[0.027273923,0.000074877324,0.9698954,0.00006934623,0.00004026264,0.00007438977,0.00004873671,0.0015581817,0.0009648889],"genre_scores_gemma":[0.71358967,0.000058895985,0.28461576,0.00009282426,0.00004145637,0.0001257204,0.00016937303,0.00009131981,0.0012150485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883777,0.00031776095,0.00007091179,0.00028120453,0.00035867785,0.00013365044],"domain_scores_gemma":[0.99778795,0.0011222549,0.0002160092,0.0002613395,0.0005182248,0.00009419606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020064886,0.0006971529,0.0007275382,0.0007959092,0.0006361348,0.00095174316,0.0012311665,0.0006474131,0.0015776121],"category_scores_gemma":[0.004952514,0.00039237156,0.00051621813,0.0005255896,0.00049044815,0.0011699554,0.00088035205,0.00089940784,0.00037978712],"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":[0.00017073021,0.00015885799,0.002273845,0.0000656809,0.00009224269,0.00015980206,0.00014789848,0.78516257,0.01125109,0.0080886725,0.0015270255,0.19090156],"study_design_scores_gemma":[0.000006389268,0.000029572655,0.00014810942,0.0000035610333,0.0000073784427,0.000018121536,0.000008175748,0.994429,0.0023372187,0.0024928644,0.00051276287,0.0000068816635],"about_ca_topic_score_codex":0.004302153,"about_ca_topic_score_gemma":0.004904272,"teacher_disagreement_score":0.004302153,"about_ca_system_score_codex":0.00071490195,"about_ca_system_score_gemma":0.001590031,"threshold_uncertainty_score":0.010611415},"labels":[],"label_agreement":null},{"id":"W3116784068","doi":"10.1109/tvt.2020.3047082","title":"Secrecy Performance Analysis of Air-to-Ground Communication With UAV Jitter and Multiple Random Walking Eavesdroppers","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":40,"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 Windsor","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Jitter; Computer science; Transmitter; Secrecy; Wireless; Noise (video); Artificial noise; Electronic engineering; Computer network; Telecommunications; Engineering; Computer security","score_opus":0.005899211590070698,"score_gpt":0.18441581864267856,"score_spread":0.17851660705260786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116784068","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":[0.5671611,0.004098965,0.411132,0.0006667063,0.00013133297,0.000074573945,0.0004253176,0.00042803798,0.015882026],"genre_scores_gemma":[0.9968623,0.00066340197,0.0016899375,0.000020019206,0.000022934408,0.000014577719,0.00005562105,0.000012891898,0.00065840606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986526,0.00038954674,0.000054182765,0.00015931898,0.00033895668,0.00040538638],"domain_scores_gemma":[0.99415624,0.0035768002,0.0009397838,0.00035000965,0.00080998125,0.00016707896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013810562,0.0014859197,0.0009486543,0.00085251144,0.0007977719,0.0012076827,0.0007267693,0.0009874898,0.00111298],"category_scores_gemma":[0.004753548,0.00036972194,0.0008342842,0.0011473435,0.0014255492,0.0015085794,0.0013810687,0.00082629075,0.00028013723],"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":[0.00019808591,0.000023586708,0.0028340216,0.00010666515,0.000054364376,0.000515893,0.00011633747,0.9681579,0.006850887,0.016185813,0.00038268816,0.004573768],"study_design_scores_gemma":[0.000004099744,0.00007805003,0.00073448796,0.000013035199,0.000028872919,0.00013567686,0.000062136765,0.9951774,0.0020764042,0.0015622894,0.00010855308,0.000019049487],"about_ca_topic_score_codex":0.0067450153,"about_ca_topic_score_gemma":0.0027487369,"teacher_disagreement_score":0.0067450153,"about_ca_system_score_codex":0.0018166847,"about_ca_system_score_gemma":0.0011996368,"threshold_uncertainty_score":0.013411522},"labels":[],"label_agreement":null},{"id":"W3119183140","doi":"10.1109/tvt.2021.3050104","title":"Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Chongqing Jiaotong University; Government of Jiangsu Province; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Computer science; Cognitive radio; Wireless network; Transmitter; Transmitter power output; Computer network; Underlay; Wireless; Computer engineering; Channel (broadcasting); Signal-to-noise ratio (imaging); Telecommunications","score_opus":0.015285207136821029,"score_gpt":0.2567035649860879,"score_spread":0.24141835784926685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119183140","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":[0.04471027,0.0002850572,0.95263386,0.00015246129,0.00002473031,0.000014160662,0.000012899849,0.00015565005,0.0020108528],"genre_scores_gemma":[0.9416665,0.00020357553,0.056638535,0.00009284536,0.000020072515,0.000031422613,0.000019587855,0.000019256791,0.0013082393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996669,0.00008710762,0.000011990618,0.000057172518,0.000099635065,0.000077174474],"domain_scores_gemma":[0.9995759,0.00024036202,0.00006238385,0.00003120637,0.00007113271,0.00001898355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066002336,0.00064373383,0.0005809995,0.0002443488,0.00026448083,0.00058663485,0.0006731196,0.00066739874,0.0005002393],"category_scores_gemma":[0.0013663708,0.0003027349,0.00039212644,0.00027755077,0.00067739526,0.0007908549,0.00080801354,0.00091393944,0.000109888504],"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":[0.000053675256,0.000027057185,0.00030629692,0.00002864029,0.000026352209,0.000056099783,0.000028006363,0.9602987,0.00452534,0.005127161,0.0001878252,0.029334806],"study_design_scores_gemma":[0.0000013220647,0.000009385743,0.000020741583,0.0000010053634,0.00000224574,0.0000052064156,0.0000016417233,0.99863535,0.00044840056,0.0008235838,0.000049829363,0.0000013124069],"about_ca_topic_score_codex":0.0026026207,"about_ca_topic_score_gemma":0.0030180728,"teacher_disagreement_score":0.0026026207,"about_ca_system_score_codex":0.0006102511,"about_ca_system_score_gemma":0.00074195827,"threshold_uncertainty_score":0.0051749945},"labels":[],"label_agreement":null},{"id":"W3119550488","doi":"10.1109/tvt.2021.3049367","title":"Trajectory Design for the Aerial Base Stations to Improve Cellular Network Performance","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":26,"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","funders":"","keywords":"Backhaul (telecommunications); Base station; Mathematical optimization; Computer science; Cellular network; Optimization problem; Transmitter power output; Resource allocation; Trajectory optimization; Trajectory; Convex optimization; Channel (broadcasting); Computer network; Optimal control; Regular polygon; Mathematics","score_opus":0.00979467059569177,"score_gpt":0.1978933057292914,"score_spread":0.18809863513359962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119550488","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":[0.01812268,0.0002193977,0.9786823,0.00010800261,0.000032016153,0.000036354733,0.000040378956,0.00019385152,0.0025650437],"genre_scores_gemma":[0.84944147,0.00054184993,0.14643954,0.000068748406,0.000035976253,0.00017306305,0.00018362093,0.000057917146,0.0030579069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996724,0.00008966783,0.000012517186,0.00006518666,0.000089124325,0.00007113387],"domain_scores_gemma":[0.99973136,0.0000766071,0.000044107997,0.00002410515,0.00009711819,0.000026719503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035245527,0.000942783,0.0005465778,0.00042574658,0.00051784376,0.0005750171,0.000878671,0.00052361,0.0022556195],"category_scores_gemma":[0.0010604868,0.0002659327,0.00044080245,0.0006689405,0.00043436294,0.00077075395,0.0007761887,0.00068872684,0.0004864151],"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":[0.00007320819,0.00002703725,0.00067981816,0.000053373227,0.000020135865,0.000086190674,0.00006655379,0.9366741,0.0053936425,0.008076398,0.0012509638,0.047598496],"study_design_scores_gemma":[0.000007639737,0.00005001857,0.00011532288,0.0000037695393,0.000007221984,0.000023661014,0.00002341709,0.99656516,0.0009185363,0.001405686,0.00087507616,0.0000044113353],"about_ca_topic_score_codex":0.007855139,"about_ca_topic_score_gemma":0.0067861285,"teacher_disagreement_score":0.007855139,"about_ca_system_score_codex":0.00082911743,"about_ca_system_score_gemma":0.0014286517,"threshold_uncertainty_score":0.015618861},"labels":[],"label_agreement":null},{"id":"W3120043880","doi":"10.1109/tvt.2021.3051287","title":"Fog Computing Vehicular Network Resource Management Based on Chemical Reaction Optimization","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":23,"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":"Fundamental Research Funds for the Central Universities; University of Science and Technology Beijing; National Natural Science Foundation of China","keywords":"Computer science; Intelligent transportation system; Resource management (computing); Resource allocation; Distributed computing; Flexibility (engineering); Computer network; Engineering","score_opus":0.007779233099591854,"score_gpt":0.21125133349759248,"score_spread":0.20347210039800062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120043880","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":[0.058028787,0.001247931,0.92695665,0.00039148424,0.0001947116,0.00010683661,0.00006125365,0.0003936581,0.012618744],"genre_scores_gemma":[0.96226305,0.00047482183,0.034705814,0.00010711502,0.000035098004,0.000055566354,0.00005758238,0.00002239752,0.0022785256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974984,0.0000388058,0.000009643953,0.000066893925,0.000067089044,0.00006771925],"domain_scores_gemma":[0.99987423,0.00004185678,0.000019280347,0.0000106412845,0.00003899784,0.000014969452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164191,0.00069474895,0.0007262633,0.0003757777,0.0006355543,0.0010219008,0.001170414,0.00047054124,0.00069303485],"category_scores_gemma":[0.000472229,0.0001963507,0.0004375953,0.00051288056,0.0004599761,0.0007851944,0.0006479513,0.00050814974,0.000089070905],"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":[0.00009308958,0.00006774523,0.0005961259,0.00006830496,0.000040823452,0.00011442987,0.000051008294,0.93212366,0.0071290922,0.016074196,0.0020652518,0.041576244],"study_design_scores_gemma":[0.000003385725,0.000011957702,0.000046735728,0.0000012757934,0.000004715718,0.000009617917,0.000008568471,0.99729246,0.00057814375,0.0016977615,0.00034217432,0.0000032485016],"about_ca_topic_score_codex":0.008135572,"about_ca_topic_score_gemma":0.007858012,"teacher_disagreement_score":0.008135572,"about_ca_system_score_codex":0.0009494468,"about_ca_system_score_gemma":0.0013342998,"threshold_uncertainty_score":0.016176403},"labels":[],"label_agreement":null},{"id":"W3120987407","doi":"10.1109/tvt.2021.3050046","title":"Exact Coverage Analysis of Intelligent Reflecting Surfaces With Nakagami-<i>M</i>Channels","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fading; Rayleigh fading; Channel (broadcasting); Wireless; Wireless network; Moment-generating function; Base station; Range (aeronautics)","score_opus":0.017344194474552672,"score_gpt":0.26333607222948735,"score_spread":0.24599187775493467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120987407","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":[0.108628534,0.0012095007,0.8803466,0.00021079517,0.000024643994,0.000032340427,0.00011668413,0.00018786617,0.009242988],"genre_scores_gemma":[0.9742054,0.00069926574,0.023198642,0.00005443293,0.000031364325,0.000037877584,0.00007131707,0.00003789019,0.0016638029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946994,0.00016764487,0.000015120621,0.00005766828,0.0001636109,0.00012599923],"domain_scores_gemma":[0.99799997,0.0013249402,0.00027296614,0.00014143628,0.00021228316,0.000048451308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008054061,0.00094075914,0.0006938937,0.0007719793,0.00030379946,0.00078680547,0.0008154674,0.0010007017,0.0013052443],"category_scores_gemma":[0.0036163724,0.00040859974,0.00074521505,0.00070062064,0.0010551915,0.0012415485,0.0008991864,0.00057458435,0.00025645716],"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":[0.00006177151,0.000014546545,0.001262703,0.00008040091,0.000024950046,0.0002719134,0.00008768039,0.95671237,0.0057020565,0.026999073,0.00041923625,0.008363319],"study_design_scores_gemma":[0.0000023592315,0.000011449791,0.00024073859,0.000005024816,0.0000054958605,0.00008322648,0.000020124198,0.99536043,0.00061356643,0.0034999764,0.00015171917,0.0000058919036],"about_ca_topic_score_codex":0.0025768909,"about_ca_topic_score_gemma":0.0012701446,"teacher_disagreement_score":0.0025768909,"about_ca_system_score_codex":0.0009854533,"about_ca_system_score_gemma":0.00047807753,"threshold_uncertainty_score":0.007150054},"labels":[],"label_agreement":null},{"id":"W3121687024","doi":"10.1109/tvt.2021.3096648","title":"Power Allocation for Reliable SIC Detection of Rectangular QAM-based NOMA Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Khalifa University of Science, Technology and Research","keywords":"Quadrature amplitude modulation; Single antenna interference cancellation; QAM; Superposition principle; Noma; Transmitter; Interference (communication); Computer science; Modulation (music); Power (physics); Computational complexity theory; Electronic engineering; Algorithm; Topology (electrical circuits); Mathematics; Telecommunications link; Bit error rate; Telecommunications; Decoding methods; Engineering; Physics; Acoustics","score_opus":0.008376096031700477,"score_gpt":0.2174647102995798,"score_spread":0.20908861426787934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121687024","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":[0.012586718,0.00035295458,0.98399144,0.00008677632,0.000022571357,0.000023590084,0.000015488353,0.00007431083,0.0028461302],"genre_scores_gemma":[0.8166955,0.0007206799,0.18008815,0.00014127106,0.00006391953,0.0001080164,0.00004377028,0.000041957122,0.0020967382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999411,0.0002678623,0.00001878414,0.000060089067,0.00017567325,0.00006655454],"domain_scores_gemma":[0.9991186,0.0006010295,0.00008508911,0.000052548163,0.00012510474,0.000017735334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089633657,0.0006011185,0.0004823722,0.0003491131,0.00033053412,0.000857102,0.00050402456,0.00039501183,0.0015163234],"category_scores_gemma":[0.0036662577,0.00034317453,0.0002697691,0.00056575297,0.0007330124,0.0007219752,0.0006147897,0.00064211583,0.00037193677],"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":[0.00012397234,0.000040469542,0.0006269436,0.00020423312,0.000039694285,0.00016678497,0.0001473222,0.8417543,0.016232876,0.07184182,0.0012587238,0.067562856],"study_design_scores_gemma":[0.000005513335,0.00002540186,0.00008176115,0.000008850183,0.000004564203,0.00003246686,0.000014920727,0.99314237,0.001260077,0.004983024,0.00043664305,0.000004393476],"about_ca_topic_score_codex":0.00077921606,"about_ca_topic_score_gemma":0.0014771108,"teacher_disagreement_score":0.0015163234,"about_ca_system_score_codex":0.00053122,"about_ca_system_score_gemma":0.00080349116,"threshold_uncertainty_score":0.0050725937},"labels":[],"label_agreement":null},{"id":"W3123188912","doi":"10.1109/tvt.2020.3001403","title":"Coarse Trajectory Design for Energy Minimization in UAV-Enabled","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Fonds National de la Recherche Luxembourg","keywords":"Mathematical optimization; Computer science; Travelling salesman problem; Heuristic; Energy consumption; Minification; Trajectory; Optimization problem; Energy minimization; Algorithm; Mathematics; Engineering","score_opus":0.014115351863467832,"score_gpt":0.19862204474442702,"score_spread":0.1845066928809592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123188912","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015190858,0.00039444212,0.9798463,0.00009693287,0.00003830135,0.0000402638,0.00006187159,0.00030655327,0.004024491],"genre_scores_gemma":[0.81176186,0.0005932774,0.1826124,0.00008535331,0.000028607015,0.00017445169,0.00022972393,0.00012328809,0.0043910425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997539,0.000055180375,0.000011444466,0.000051662555,0.00007297827,0.00005489149],"domain_scores_gemma":[0.99978215,0.00008070725,0.000036266134,0.000028085595,0.00005208839,0.00002075396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032128306,0.0009776657,0.000636163,0.00040574992,0.00046638324,0.0006773414,0.0008483261,0.0005721642,0.0028210888],"category_scores_gemma":[0.00081372855,0.00032041676,0.00038899205,0.00058025564,0.0003869879,0.000934767,0.0007632556,0.00059069943,0.00043256322],"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":[0.000052982035,0.00002457009,0.00035929514,0.000103679,0.000017533866,0.00011448988,0.00006116086,0.94099265,0.005652911,0.0131647615,0.0011640069,0.038291983],"study_design_scores_gemma":[0.000007748891,0.000053749973,0.0001011333,0.000010120852,0.000005776303,0.000035911555,0.000030169324,0.99189526,0.0014822682,0.004610212,0.0017618292,0.000005774568],"about_ca_topic_score_codex":0.00291312,"about_ca_topic_score_gemma":0.0033114671,"teacher_disagreement_score":0.00291312,"about_ca_system_score_codex":0.0007071347,"about_ca_system_score_gemma":0.0010534007,"threshold_uncertainty_score":0.009437501},"labels":[],"label_agreement":null},{"id":"W3124511745","doi":"10.1109/tvt.2021.3053536","title":"Delivery Drone Driving Cycle","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":29,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drone; Propeller; Throttle; Automotive engineering; Engineering; Computer science; Driving cycle; Simulation; Turning radius; Real-time computing; Aerospace engineering; Power (physics); Marine engineering; Electric vehicle","score_opus":0.0037014925570581156,"score_gpt":0.18253373166124032,"score_spread":0.1788322391041822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124511745","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":[0.8420833,0.00023244452,0.08320984,0.00029550344,0.00012221078,0.0005030251,0.004828704,0.0028656228,0.06585942],"genre_scores_gemma":[0.9760241,0.00015379852,0.011479531,0.00005040222,0.0000048413617,0.00018151903,0.0025457416,0.00018245312,0.009377526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998857,0.000016191627,0.0000061330775,0.000021254647,0.000046601454,0.000024151996],"domain_scores_gemma":[0.9997985,0.00006260314,0.000012365733,0.000025777488,0.00007722181,0.000023545415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001491054,0.00039994752,0.00031536925,0.0003716015,0.00036179175,0.00053111743,0.0005326332,0.0004441879,0.0059050755],"category_scores_gemma":[0.0008189311,0.00016009242,0.00034734464,0.00020805918,0.00018038075,0.00040657521,0.00040831044,0.0004359191,0.0008942884],"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":[0.00032671719,0.00013627835,0.006904948,0.0001931763,0.00004537804,0.0002657839,0.00018134034,0.94637954,0.009162845,0.0035657668,0.0045195566,0.028318709],"study_design_scores_gemma":[0.000059484883,0.00022749884,0.0032853836,0.000025793073,0.000022901335,0.00010752589,0.00017715314,0.9684908,0.010771768,0.0012130513,0.015584825,0.00003379502],"about_ca_topic_score_codex":0.010820367,"about_ca_topic_score_gemma":0.0076557286,"teacher_disagreement_score":0.010820367,"about_ca_system_score_codex":0.00044545275,"about_ca_system_score_gemma":0.00057795347,"threshold_uncertainty_score":0.021514773},"labels":[],"label_agreement":null},{"id":"W3126415943","doi":"10.1109/tvt.2021.3055769","title":"Joint Optimization of BS Clustering and Power Control for NOMA-Enabled CoMP Transmission in Dense Cellular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":35,"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 Waterloo","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Cluster analysis; Noma; Computer science; Transmission (telecommunications); Power control; Base station; Interference (communication); Cellular network; Spectral efficiency; Computer network; Single antenna interference cancellation; Power (physics); Mathematical optimization; Decoding methods; Telecommunications link; Algorithm; Telecommunications; Mathematics; Channel (broadcasting)","score_opus":0.008568781077452327,"score_gpt":0.2060731603697689,"score_spread":0.19750437929231657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126415943","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":[0.07557917,0.0002753386,0.9210032,0.00015223386,0.000021909544,0.00004040075,0.000023134888,0.00013499732,0.002769569],"genre_scores_gemma":[0.97279245,0.00015720948,0.026131786,0.00003641346,0.000013219839,0.000046115994,0.000017798622,0.0000126771465,0.0007923221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954396,0.0001692285,0.000015823316,0.00008186423,0.000112922324,0.0000760626],"domain_scores_gemma":[0.9994418,0.00028325248,0.00010872368,0.000029862167,0.000104049446,0.000032295415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006748398,0.0007993992,0.0005106065,0.0003343962,0.00042362584,0.00069150596,0.00051530596,0.0004589125,0.00034471563],"category_scores_gemma":[0.0016614808,0.00037451115,0.0002279057,0.00053598563,0.0006258869,0.00046996708,0.0007459454,0.00043252984,0.000098667086],"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":[0.000027244145,0.000022757911,0.0002765185,0.000016736774,0.000012163195,0.000033076645,0.00002435953,0.98603535,0.0020042867,0.0024194338,0.00016709353,0.008960939],"study_design_scores_gemma":[0.0000033603208,0.000016436172,0.000104585175,0.0000010953985,0.0000026051425,0.000006642201,0.0000074076424,0.99867296,0.0003646389,0.0007568232,0.00006132224,0.000002176068],"about_ca_topic_score_codex":0.004837943,"about_ca_topic_score_gemma":0.0058390005,"teacher_disagreement_score":0.004837943,"about_ca_system_score_codex":0.00079117704,"about_ca_system_score_gemma":0.0010537334,"threshold_uncertainty_score":0.009619534},"labels":[],"label_agreement":null},{"id":"W3126714176","doi":"10.1109/tvt.2021.3057547","title":"Interference Cancellation Aided Hybrid Beamforming for mmWave Multi-User Massive MIMO Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":36,"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":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Single antenna interference cancellation; MIMO; Computer science; Interference (communication); Electronic engineering; Spectral efficiency; Telecommunications link; Multi-user MIMO; WSDMA; Channel (broadcasting); Precoding; Telecommunications; Engineering","score_opus":0.02169625104950047,"score_gpt":0.2347901435804441,"score_spread":0.21309389253094363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126714176","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":[0.0051485943,0.00026222417,0.992792,0.00005175594,0.000025790368,0.000014876411,0.00002399813,0.00015023755,0.0015304936],"genre_scores_gemma":[0.5206991,0.00097493315,0.47166365,0.00037522445,0.00015776425,0.00017094405,0.0002162367,0.000047813202,0.0056943055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999561,0.0001423505,0.00001743334,0.00004938784,0.00017897304,0.00005090497],"domain_scores_gemma":[0.99957603,0.0001879408,0.000050872153,0.0000433762,0.00012318324,0.000018547868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048636895,0.0008381152,0.00054324436,0.0003947632,0.00033419064,0.0006143736,0.0005329969,0.00056955084,0.0016854167],"category_scores_gemma":[0.0009007745,0.0002641847,0.0004616063,0.00064281904,0.00038906012,0.0006254048,0.0006796871,0.00054526806,0.00074094435],"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":[0.00026794765,0.00008209933,0.0011526726,0.0002475276,0.00015323158,0.00018187522,0.00014274433,0.595875,0.069111004,0.036681674,0.002589412,0.29351476],"study_design_scores_gemma":[0.000016092728,0.00013583658,0.00028603603,0.000012619021,0.000019204841,0.000097268945,0.000017652252,0.98319477,0.0090167355,0.0049906746,0.002191207,0.000022013275],"about_ca_topic_score_codex":0.0007149765,"about_ca_topic_score_gemma":0.0013626032,"teacher_disagreement_score":0.0016854167,"about_ca_system_score_codex":0.00025075657,"about_ca_system_score_gemma":0.0004196061,"threshold_uncertainty_score":0.005638242},"labels":[],"label_agreement":null},{"id":"W3127604390","doi":"10.1109/tvt.2021.3054934","title":"Making the Case for Centralized Automotive E/E Architectures","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Automotive industry; AUTOSAR; Original equipment manufacturer; Electronic control unit; Automotive electronics; Architecture; Engineering; Virtualization; Manufacturing engineering; Software; Computer science; Embedded system; Systems engineering; Automotive engineering; Operating system; Cloud computing","score_opus":0.024255244880311895,"score_gpt":0.284122712876489,"score_spread":0.2598674679961771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127604390","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09344201,0.006176906,0.69994456,0.031768866,0.0016492622,0.00019071497,0.0001350141,0.0032961534,0.16339654],"genre_scores_gemma":[0.8342391,0.003928759,0.13027146,0.0040531023,0.0006494969,0.00020131876,0.00020753266,0.0004782556,0.025970895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996327,0.00086173066,0.00013190453,0.00068187295,0.0012347383,0.00076273136],"domain_scores_gemma":[0.9940916,0.0010712704,0.00046274223,0.0019333764,0.0017836076,0.00065739057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004429463,0.0005131593,0.00039133662,0.00057614205,0.0015753681,0.004783258,0.0020317596,0.0025744422,0.005606595],"category_scores_gemma":[0.006143499,0.0005172648,0.0004471089,0.00061569683,0.0026002564,0.009599492,0.004142038,0.0041273185,0.0024038318],"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":[0.00012032643,0.000115428025,0.0017499932,0.00022166291,0.000029815506,0.00035732385,0.00070331054,0.027101686,0.007428822,0.82491136,0.023773296,0.113486946],"study_design_scores_gemma":[0.00011953288,0.00033132787,0.0022874186,0.0004229308,0.000063027255,0.000594457,0.0020213502,0.11357768,0.010898412,0.46640074,0.40315822,0.00012491173],"about_ca_topic_score_codex":0.0022537336,"about_ca_topic_score_gemma":0.0038917845,"teacher_disagreement_score":0.005606595,"about_ca_system_score_codex":0.0017731484,"about_ca_system_score_gemma":0.0032062454,"threshold_uncertainty_score":0.02342552},"labels":[],"label_agreement":null},{"id":"W3128086886","doi":"10.1109/tvt.2021.3055065","title":"An Adaptive Asynchronous Wake-Up Scheme for Underwater Acoustic Sensor Networks Using Deep Reinforcement Learning","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Asynchronous communication; Reinforcement learning; Computer science; Network packet; Performance metric; Markov decision process; Underwater; Wake; Asynchronous learning; Real-time computing; Computer network; Markov process; Engineering; Artificial intelligence","score_opus":0.019255316376481993,"score_gpt":0.2387791599667563,"score_spread":0.21952384359027433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128086886","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":[0.08080414,0.00038728653,0.91561437,0.00022957023,0.000100500525,0.00006208776,0.00002931803,0.0003950803,0.0023776307],"genre_scores_gemma":[0.969627,0.000094631854,0.02916632,0.0000794921,0.00001851471,0.000051351133,0.000027505816,0.000011224245,0.00092384935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982685,0.000037807316,0.000011703652,0.000043711112,0.00004399206,0.00003594529],"domain_scores_gemma":[0.9996158,0.00016875424,0.00006262215,0.000026221967,0.00008881884,0.000037789603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005557749,0.0004811578,0.00047185575,0.00019955513,0.0003053731,0.0002816133,0.00093293237,0.0003932999,0.0006851501],"category_scores_gemma":[0.0013094571,0.0002011399,0.00024628028,0.00018011747,0.00041487475,0.0005656074,0.0006714026,0.00075950514,0.00008307186],"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":[0.00011793274,0.00013349569,0.0012027217,0.00006093045,0.000035523273,0.0000788192,0.000095829644,0.90110046,0.0064982446,0.00534517,0.0009743733,0.084356576],"study_design_scores_gemma":[0.000006338681,0.000022959577,0.000053149,0.0000013781726,0.0000028113807,0.000003993507,0.0000027086,0.99902666,0.00028526052,0.0005235787,0.00006915745,0.0000019458403],"about_ca_topic_score_codex":0.0045320443,"about_ca_topic_score_gemma":0.0058855335,"teacher_disagreement_score":0.0045320443,"about_ca_system_score_codex":0.00039844261,"about_ca_system_score_gemma":0.00082358817,"threshold_uncertainty_score":0.009011328},"labels":[],"label_agreement":null},{"id":"W3129281488","doi":"10.1109/tvt.2022.3182899","title":"Resource Reservation in Backhaul and Radio Access Network With Uncertain User Demands","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"Huawei Technologies (Canada)","funders":"National Natural Science Foundation of China","keywords":"Backhaul (telecommunications); Karush–Kuhn–Tucker conditions; Computer science; Reservation; Computer network; Radio access network; Mathematical optimization; Scalability; Distributed computing; Optimization problem; Wireless; Wireless network; Base station; Algorithm; Mathematics; Telecommunications","score_opus":0.00978304660721806,"score_gpt":0.22085026443319766,"score_spread":0.2110672178259796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129281488","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":[0.0846607,0.00052307895,0.91128993,0.00042472777,0.00004110675,0.000055184875,0.00009525784,0.00019025848,0.0027196852],"genre_scores_gemma":[0.94887865,0.00026942883,0.049155243,0.0000644954,0.000031297073,0.0000854721,0.00008220909,0.000038719034,0.0013945097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912626,0.0003712582,0.000024589797,0.00015186012,0.00017552005,0.00015053299],"domain_scores_gemma":[0.99865544,0.00094784383,0.00014416804,0.000059608436,0.00013335983,0.00005959354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013630664,0.0007005562,0.0013786375,0.00033358904,0.00057618733,0.0011771091,0.0009866285,0.00082747574,0.00087251514],"category_scores_gemma":[0.002742813,0.00062726217,0.00038212724,0.00070715795,0.0010079829,0.001391637,0.00090518774,0.00092584704,0.00017320972],"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":[0.00004943856,0.000013784295,0.0002565596,0.000019596293,0.000011311652,0.0000620908,0.000024366547,0.9906256,0.0006934095,0.0047151893,0.00025419018,0.0032743542],"study_design_scores_gemma":[0.000002966913,0.0000049063246,0.000035539302,6.71302e-7,0.0000010412053,0.0000040259533,0.000004303749,0.9989685,0.0000857844,0.0008524748,0.000038517,0.0000013115896],"about_ca_topic_score_codex":0.011268878,"about_ca_topic_score_gemma":0.0064223125,"teacher_disagreement_score":0.011268878,"about_ca_system_score_codex":0.0011489372,"about_ca_system_score_gemma":0.0016408548,"threshold_uncertainty_score":0.022406578},"labels":[],"label_agreement":null},{"id":"W3129723556","doi":"10.1109/tvt.2021.3059964","title":"Joint Mobility, Communication and Computation Optimization for UAVs in Air-Ground Cooperative Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":54,"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 Waterloo","funders":"Horizon 2020 Framework Programme; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Natural Science Foundation of China; Royal Society; China Postdoctoral Science Foundation; Beihang University","keywords":"Computer science; Mathematical optimization; Computation; Convergence (economics); Acceleration; Optimization problem; Computation offloading; Convex optimization; Power control; Power (physics); Enhanced Data Rates for GSM Evolution; Regular polygon; Edge computing; Algorithm; Mathematics; Telecommunications","score_opus":0.010844931550585347,"score_gpt":0.22874448079340776,"score_spread":0.2178995492428224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129723556","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":[0.080728255,0.00079273485,0.91237885,0.0004257949,0.00007445964,0.000050836272,0.00005559469,0.00010883158,0.0053847083],"genre_scores_gemma":[0.9661769,0.00044922586,0.030878635,0.000050605475,0.000027733535,0.00008573626,0.000066468914,0.000022536498,0.0022420266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999627,0.00011759917,0.000014205034,0.00008880416,0.00006460092,0.00008781921],"domain_scores_gemma":[0.99962986,0.00018896908,0.00006396153,0.000020260984,0.000061932835,0.00003488729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005944723,0.0010427282,0.00088354334,0.00030307163,0.00056853174,0.0010411042,0.0005775553,0.0007085969,0.00085157854],"category_scores_gemma":[0.0011498836,0.0003679661,0.00060305925,0.0005287807,0.0008274864,0.00088294403,0.0011405764,0.0007946353,0.00013572253],"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":[0.000027310236,0.000012282857,0.00038174246,0.000025943707,0.000012842209,0.00007171791,0.000041660773,0.98835945,0.00068273215,0.004632466,0.00031382596,0.005437889],"study_design_scores_gemma":[0.0000028695665,0.000010325589,0.00006423964,0.0000017510555,0.000002755985,0.0000060517086,0.00001503491,0.9986117,0.00009951186,0.0010699773,0.000114111914,0.0000016181632],"about_ca_topic_score_codex":0.012292371,"about_ca_topic_score_gemma":0.0072421273,"teacher_disagreement_score":0.012292371,"about_ca_system_score_codex":0.00089086994,"about_ca_system_score_gemma":0.0012044229,"threshold_uncertainty_score":0.02444166},"labels":[],"label_agreement":null},{"id":"W3133575899","doi":"10.1109/tvt.2021.3062653","title":"Adaptive Computing Scheduling for Edge-Assisted Autonomous Driving","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","field":"Computer Science","cited_by":77,"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; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Edge computing; Scheduling (production processes); Distributed computing; Job shop scheduling; Reinforcement learning; Real-time computing; Obstacle; Latency (audio); Dynamic priority scheduling; Enhanced Data Rates for GSM Evolution; Embedded system; Computer network; Mathematical optimization; Artificial intelligence; Quality of service","score_opus":0.014462316075915572,"score_gpt":0.23934820400292534,"score_spread":0.22488588792700975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133575899","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":[0.119953446,0.00023618896,0.87489593,0.00025131227,0.00007026044,0.00006219846,0.000054889373,0.00044398766,0.004031785],"genre_scores_gemma":[0.9819342,0.000040726492,0.017040402,0.000036919642,0.000011620362,0.000018783981,0.000024025721,0.000017658376,0.0008756984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965715,0.000076458586,0.000016164553,0.000088776105,0.0000643237,0.000096998985],"domain_scores_gemma":[0.9993113,0.0002618186,0.0001116851,0.00006244744,0.00014283299,0.000109880835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062312814,0.00046339663,0.0005168055,0.00026329755,0.0004601848,0.00056954677,0.0009407489,0.00037646614,0.0013463444],"category_scores_gemma":[0.0017877411,0.00020881201,0.00018268841,0.0002360586,0.00049923087,0.00066220935,0.0006875107,0.0006231893,0.00019462024],"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":[0.0001736328,0.000085684056,0.0007139701,0.000025990144,0.0000126808845,0.000046906676,0.00005109212,0.95755917,0.0031537788,0.004876277,0.0006143126,0.03268649],"study_design_scores_gemma":[0.000003006603,0.000016164227,0.00005864468,7.0170415e-7,0.0000011273869,0.0000030065887,0.0000048202473,0.998744,0.00023698922,0.0008298177,0.00010020945,0.0000014665608],"about_ca_topic_score_codex":0.00508117,"about_ca_topic_score_gemma":0.0049871816,"teacher_disagreement_score":0.00508117,"about_ca_system_score_codex":0.0008160037,"about_ca_system_score_gemma":0.0010639025,"threshold_uncertainty_score":0.010103226},"labels":[],"label_agreement":null},{"id":"W3133982043","doi":"10.1109/tvt.2021.3065084","title":"UAV Communications for Sustainable Federated Learning","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":117,"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 Laval","funders":"National Research Foundation of Korea; Pusan National University","keywords":"Wireless; Leverage (statistics); Wireless power transfer; Wireless network; Transmitter power output; Scheduling (production processes); Transmission (telecommunications); Boosting (machine learning)","score_opus":0.008019406256754853,"score_gpt":0.22293063866669716,"score_spread":0.2149112324099423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133982043","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":[0.045196522,0.0013178376,0.94053763,0.0007148923,0.00014732595,0.00003586137,0.00008900271,0.00064873754,0.011312138],"genre_scores_gemma":[0.92856985,0.0006465208,0.06681059,0.00017604997,0.00003375939,0.000039591887,0.0001210358,0.000039238104,0.003563309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978024,0.00005829697,0.00000828942,0.00003917219,0.000060023052,0.00005387348],"domain_scores_gemma":[0.99975055,0.000101289814,0.000028477125,0.00004818601,0.000047542173,0.000023908557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003887374,0.00045435946,0.0003438406,0.00026503264,0.00043609884,0.0006867707,0.0005691886,0.0004971007,0.001817047],"category_scores_gemma":[0.0007845254,0.000104090184,0.00026144995,0.00044720204,0.00033131876,0.0010719574,0.0010433502,0.0005824152,0.00035737822],"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":[0.00013427364,0.00008885718,0.0011515418,0.00016887188,0.000042618976,0.00024047746,0.000091020695,0.6651461,0.010736761,0.056792747,0.00786406,0.25754273],"study_design_scores_gemma":[0.000007112162,0.000056603607,0.00019424093,0.000015983149,0.000007797324,0.00008730444,0.000055831963,0.97018605,0.0035877356,0.018485252,0.007310166,0.0000058832484],"about_ca_topic_score_codex":0.0011396626,"about_ca_topic_score_gemma":0.0019541457,"teacher_disagreement_score":0.001817047,"about_ca_system_score_codex":0.00044571908,"about_ca_system_score_gemma":0.00059237564,"threshold_uncertainty_score":0.006078601},"labels":[],"label_agreement":null},{"id":"W3134089615","doi":"10.1109/tvt.2021.3063946","title":"Transmission and Clustering Designs for Multi-Antenna NOMA Based on Average Transmit Power","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transmitter power output; Beamforming; Cluster analysis; Computer science; Transmission (telecommunications); Base station; Noma; Antenna (radio); Electronic engineering; Interference (communication); Signal-to-noise ratio (imaging); Channel (broadcasting); Real-time computing; Computer network; Telecommunications; Engineering; Telecommunications link; Transmitter; Artificial intelligence","score_opus":0.026498686598591982,"score_gpt":0.25603978937468014,"score_spread":0.22954110277608816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134089615","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":[0.0043287505,0.00026421543,0.99329823,0.000055490098,0.000030946627,0.000025774572,0.000021012833,0.000099699646,0.0018758565],"genre_scores_gemma":[0.5023346,0.0014964208,0.49162313,0.00022678738,0.00021089715,0.0003218906,0.00014340835,0.0001847639,0.003458156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985683,0.00056475325,0.00007364861,0.00020717527,0.00044949946,0.00013662949],"domain_scores_gemma":[0.99734807,0.0013119208,0.0002990003,0.00031713853,0.0006596862,0.00006412434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016290458,0.0014011861,0.0009532056,0.00087909476,0.000915537,0.0012038775,0.0015922308,0.0007392277,0.0027994064],"category_scores_gemma":[0.005058129,0.0005880682,0.0008914367,0.0015160381,0.00079116574,0.0019432978,0.00092758244,0.0010367424,0.0010145482],"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":[0.0001083415,0.000065731874,0.0005534754,0.0002302033,0.00009472433,0.00008853933,0.00023154661,0.8445745,0.011694496,0.0626395,0.0017527798,0.07796613],"study_design_scores_gemma":[0.0000067846263,0.00008849863,0.00020878289,0.000014873965,0.000027054133,0.00012766258,0.00004214742,0.98479503,0.0029968198,0.010134089,0.0015382638,0.000020039477],"about_ca_topic_score_codex":0.0010991592,"about_ca_topic_score_gemma":0.0017256144,"teacher_disagreement_score":0.0027994064,"about_ca_system_score_codex":0.0013319319,"about_ca_system_score_gemma":0.00096012966,"threshold_uncertainty_score":0.00966382},"labels":[],"label_agreement":null},{"id":"W3134248851","doi":"10.1109/tvt.2021.3065106","title":"Handling Stability Advancement With 4WS and DYC Coordinated Control: A Gain-Scheduled Robust Control Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":107,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Robustness (evolution); Parametric statistics; Robust control; Linear matrix inequality; Engineering; Control engineering; Control system; Controller (irrigation); Adaptive control; Computer science; Control (management); Mathematics; Mathematical optimization","score_opus":0.005925838138688561,"score_gpt":0.17067766593673298,"score_spread":0.16475182779804443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134248851","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":[0.01264002,0.00020055387,0.9824973,0.000081385784,0.000044344662,0.000029901606,0.000015729685,0.00031389005,0.004176869],"genre_scores_gemma":[0.9468501,0.00024122048,0.05005725,0.00007875185,0.00005949345,0.00010857323,0.00006454284,0.00005116521,0.0024889915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999468,0.00008529617,0.000025228124,0.00014621172,0.0002070201,0.000068193025],"domain_scores_gemma":[0.9996772,0.000056985304,0.0000783918,0.000034659253,0.00013691671,0.000015906026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006182192,0.00090072595,0.0005213713,0.00048446053,0.0003559934,0.00078231003,0.00086308137,0.00044857463,0.0011025801],"category_scores_gemma":[0.00060819567,0.0002773598,0.00053712557,0.00032472645,0.0005313154,0.00049623696,0.0010154741,0.00064745627,0.0002797145],"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":[0.0001845702,0.000050357594,0.0007856269,0.00019491062,0.000088569665,0.00018363459,0.00021852448,0.82559335,0.032664683,0.021474564,0.0014068029,0.11715446],"study_design_scores_gemma":[0.000012030619,0.00013875744,0.00020479172,0.000007859683,0.000014460554,0.000021930258,0.00001896545,0.9933303,0.0029418967,0.001882892,0.0014168094,0.000009365328],"about_ca_topic_score_codex":0.00466909,"about_ca_topic_score_gemma":0.0025581624,"teacher_disagreement_score":0.00466909,"about_ca_system_score_codex":0.0004580181,"about_ca_system_score_gemma":0.00075507094,"threshold_uncertainty_score":0.009283841},"labels":[],"label_agreement":null},{"id":"W3134504064","doi":"10.1109/tvt.2021.3063020","title":"Improving Ride Comfort and Fuel Economy of Connected Hybrid Electric Vehicles Based on Traffic Signals and Real Road Information","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"State Key Laboratory of Mechanical System and Vibration; National Natural Science Foundation of China","keywords":"Intersection (aeronautics); Fuel efficiency; Energy management; Automotive engineering; Energy consumption; Computer science; Engineering; Minification; Real-time computing; Energy (signal processing); Transport engineering; Simulation","score_opus":0.0044636915421082096,"score_gpt":0.18166794831140953,"score_spread":0.17720425676930132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134504064","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":[0.55599606,0.0004572491,0.4298094,0.000085077474,0.00003528535,0.000046512476,0.00007322493,0.00034001566,0.013157284],"genre_scores_gemma":[0.99501246,0.000080381986,0.004138756,0.0000063326647,0.0000028398429,0.000009588557,0.000033760567,0.0000063907555,0.0007093828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991274,0.000017063894,0.0000033396088,0.000022113594,0.00003063991,0.000014078405],"domain_scores_gemma":[0.9999417,0.000018325112,0.000009045076,0.000007101295,0.000019059444,0.0000047652657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011776997,0.00047537603,0.00023301785,0.00031978262,0.00027071033,0.00050234364,0.00035418707,0.00024331496,0.0009028397],"category_scores_gemma":[0.00021754463,0.00016349745,0.0002976958,0.0002724672,0.0001903634,0.00060763245,0.00040744315,0.0002153289,0.00012673957],"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":[0.0001865225,0.00014053272,0.0048310915,0.00012479944,0.00006800814,0.00008152847,0.00006691069,0.8772084,0.026884409,0.004200581,0.00042729176,0.085780025],"study_design_scores_gemma":[0.0000070229044,0.0000808099,0.0013090074,0.000004184471,0.000024497036,0.000012184761,0.000034005774,0.992896,0.0040634875,0.0011268078,0.0004349268,0.0000070736464],"about_ca_topic_score_codex":0.003722027,"about_ca_topic_score_gemma":0.0053920755,"teacher_disagreement_score":0.003722027,"about_ca_system_score_codex":0.00033069958,"about_ca_system_score_gemma":0.00025567444,"threshold_uncertainty_score":0.0074006915},"labels":[],"label_agreement":null},{"id":"W3135291434","doi":"10.1109/tvt.2021.3064868","title":"Aggregate Preamble Sequence Design and Detection for Massive IoT With Deep Learning","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Preamble; Aggregate (composite); Computer science; Sequence (biology); Deep learning; Internet of Things; Artificial intelligence; Telecommunications; Engineering; Computer security; Channel (broadcasting); Materials science","score_opus":0.012426443973670794,"score_gpt":0.22290289711582062,"score_spread":0.21047645314214983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135291434","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":[0.015634011,0.00016749994,0.9823836,0.00006997649,0.000021482461,0.00003280414,0.000030850217,0.0007997319,0.0008601139],"genre_scores_gemma":[0.5215238,0.0002494328,0.47460094,0.0002448339,0.000041710635,0.00013147904,0.00021329435,0.00009331977,0.0029011157],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967694,0.000051969244,0.000027513588,0.00005734395,0.00013521277,0.000051011524],"domain_scores_gemma":[0.9994875,0.00014318907,0.0000726448,0.00006620543,0.00019722136,0.00003321132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004356266,0.0005818104,0.00031330055,0.0004568373,0.00025084981,0.000497427,0.00081361696,0.0005326292,0.0010607545],"category_scores_gemma":[0.0011742265,0.00019774742,0.00023896806,0.00028687404,0.00031991955,0.0008043549,0.0006263562,0.00078215613,0.0005258447],"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":[0.00056544173,0.0002149698,0.0018155868,0.00019702748,0.000087252316,0.00023587082,0.00018984482,0.19463396,0.20365398,0.018153436,0.0030144742,0.57723814],"study_design_scores_gemma":[0.000019326324,0.00020999597,0.00041598876,0.000017872055,0.00002496199,0.000109186716,0.000016089798,0.92704034,0.06596182,0.0036199784,0.002545272,0.000019151126],"about_ca_topic_score_codex":0.0015972066,"about_ca_topic_score_gemma":0.003306881,"teacher_disagreement_score":0.0015972066,"about_ca_system_score_codex":0.00050603575,"about_ca_system_score_gemma":0.0009060947,"threshold_uncertainty_score":0.003671527},"labels":[],"label_agreement":null},{"id":"W3135364964","doi":"10.1109/tvt.2021.3064834","title":"Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":79,"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 New Brunswick","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Bloom filter; Computer science; Database transaction; Computational complexity theory; Scheme (mathematics); Computer network; Verifiable secret sharing; Computer security; Distributed computing; Database; Algorithm","score_opus":0.027173814005635545,"score_gpt":0.2738520426845776,"score_spread":0.24667822867894204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135364964","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":[0.20368282,0.0008860718,0.7848329,0.0010510543,0.00013993745,0.00055453903,0.000480316,0.0015347995,0.006837565],"genre_scores_gemma":[0.9843066,0.00012957875,0.013970204,0.000056129353,0.000018998486,0.00009428043,0.00012418839,0.000011028456,0.0012890775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780625,0.000591592,0.00016562162,0.00045497,0.0006278002,0.00035377016],"domain_scores_gemma":[0.9957088,0.0014172774,0.0006094646,0.0013312941,0.0005825627,0.0003504968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018396291,0.00052491,0.0009764015,0.0006534082,0.0015528883,0.0014156023,0.0018566959,0.001058084,0.002099795],"category_scores_gemma":[0.0056626005,0.00031171495,0.0004171879,0.0010273604,0.0010025874,0.0038934872,0.0031237688,0.00092799665,0.00041994386],"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":[0.0024063636,0.00044918244,0.011494917,0.00056039455,0.000219326,0.0016087131,0.0017539422,0.51376563,0.049923815,0.12832499,0.0071536102,0.2823391],"study_design_scores_gemma":[0.00009138494,0.00021377412,0.0007789337,0.000029459934,0.00004037709,0.00029713754,0.00016535545,0.9479371,0.008329809,0.03866077,0.0034157704,0.000040197854],"about_ca_topic_score_codex":0.0032185456,"about_ca_topic_score_gemma":0.0036252216,"teacher_disagreement_score":0.0032185456,"about_ca_system_score_codex":0.0013277043,"about_ca_system_score_gemma":0.0031153962,"threshold_uncertainty_score":0.009728968},"labels":[],"label_agreement":null},{"id":"W3135434180","doi":"10.1109/tvt.2021.3097128","title":"Energy Efficiency Maximization in the Uplink Delta-OMA Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","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":"York University","funders":"","keywords":"Telecommunications link; Orthogonal frequency-division multiple access; Optimization problem; Maximization; Spectral efficiency; Scheduling (production processes); Efficient energy use; Frequency-division multiple access; Transmitter power output; Job shop scheduling","score_opus":0.008093937739505999,"score_gpt":0.21022118438225085,"score_spread":0.20212724664274484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135434180","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":[0.12045993,0.0012436827,0.86873794,0.00033861573,0.000038167615,0.0000327469,0.00009626015,0.000098559154,0.008954136],"genre_scores_gemma":[0.95460504,0.0006649364,0.042288966,0.000075537646,0.000019702351,0.00004952132,0.000045687484,0.000027365359,0.0022231177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959546,0.00020647723,0.00001017484,0.00004524923,0.00007096721,0.00007170768],"domain_scores_gemma":[0.999529,0.00030495264,0.00005752667,0.000022885977,0.00006231717,0.000023342282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088771526,0.00054335466,0.00077916,0.0002943596,0.00027076865,0.00097496767,0.0006098046,0.00048849697,0.0009837507],"category_scores_gemma":[0.0013572016,0.00031656423,0.00037382662,0.0006470442,0.0005018062,0.0007685148,0.00075178227,0.00053628994,0.0001723471],"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":[0.00006596081,0.000030215802,0.0005548597,0.000058289155,0.000022837792,0.000095078554,0.000023963286,0.9634265,0.0022486073,0.019053832,0.00051244657,0.013907369],"study_design_scores_gemma":[0.000002828496,0.000013458914,0.00009460949,0.0000030308286,0.0000027670876,0.000013154199,0.000010426867,0.9961718,0.00036647508,0.003119414,0.0002001094,0.0000019234058],"about_ca_topic_score_codex":0.001757152,"about_ca_topic_score_gemma":0.0016737195,"teacher_disagreement_score":0.001757152,"about_ca_system_score_codex":0.0006902033,"about_ca_system_score_gemma":0.00066728937,"threshold_uncertainty_score":0.0050078034},"labels":[],"label_agreement":null},{"id":"W3136338303","doi":"10.1109/tvt.2021.3068255","title":"Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":145,"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 Waterloo","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Inference; Computer science; Reinforcement learning; Cloud computing; Artificial intelligence; Benchmark (surveying); Resource allocation; Machine learning; Resource management (computing); Deep learning; Integer programming; Edge computing; Edge device; Markov decision process; Enhanced Data Rates for GSM Evolution; Distributed computing; Markov process; Computer network; Algorithm","score_opus":0.022675624903955773,"score_gpt":0.24788659834420493,"score_spread":0.22521097344024915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136338303","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":[0.050375063,0.00070462516,0.9437056,0.00042387928,0.00012779371,0.00006185802,0.00009129277,0.0009940276,0.0035157453],"genre_scores_gemma":[0.9497427,0.00020726447,0.04826225,0.00017039958,0.000035304125,0.000053571737,0.00010289398,0.00004701073,0.0013786876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957734,0.00008165558,0.000024842273,0.00013276539,0.0000810849,0.00010240702],"domain_scores_gemma":[0.9993185,0.00033488154,0.00008211518,0.00006400902,0.00013968557,0.000060767987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010417937,0.000877024,0.00079348905,0.0002509747,0.00052097766,0.00076618104,0.0015891334,0.00075545674,0.0014799542],"category_scores_gemma":[0.00231493,0.00039176643,0.00033364055,0.00035928184,0.0006401208,0.0013051248,0.0009790289,0.001613989,0.00021328557],"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":[0.00010494089,0.00007745372,0.0008624533,0.000042625164,0.000022891018,0.00006273536,0.000029736908,0.9517664,0.0018631308,0.003877886,0.0012147576,0.040075],"study_design_scores_gemma":[0.0000030948736,0.0000061699475,0.00003582006,0.0000014764948,0.0000021115873,0.000002968473,0.0000023220905,0.99860376,0.0003128621,0.00095812656,0.00006984026,0.0000015220394],"about_ca_topic_score_codex":0.014378003,"about_ca_topic_score_gemma":0.017370788,"teacher_disagreement_score":0.014378003,"about_ca_system_score_codex":0.001543586,"about_ca_system_score_gemma":0.0017021828,"threshold_uncertainty_score":0.028588653},"labels":[],"label_agreement":null},{"id":"W3139223091","doi":"10.1109/tvt.2021.3067236","title":"Performance Analysis of RKHS Based Detectors for Nonlinear NLOS Ultraviolet Communications","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Non-line-of-sight propagation; Nonlinear system; Detector; Computer science; Algorithm; Reproducing kernel Hilbert space; Additive white Gaussian noise; Nonlinear distortion; Electronic engineering; Wireless; Channel (broadcasting); Mathematics; Physics; Telecommunications; Engineering; Mathematical analysis","score_opus":0.01595608575744423,"score_gpt":0.24638343925658077,"score_spread":0.23042735349913654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139223091","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":[0.060224745,0.0011548058,0.93316764,0.00023309895,0.000042138683,0.00004406029,0.00008202333,0.00027057595,0.004780948],"genre_scores_gemma":[0.92031026,0.0010400472,0.07494667,0.00008979457,0.000055614786,0.000052653864,0.00011752257,0.000037472022,0.003349959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983088,0.00068112335,0.000068132256,0.00019980925,0.00057464687,0.0001673591],"domain_scores_gemma":[0.9961687,0.0024603792,0.000384719,0.00026280986,0.0006615642,0.000061801264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018096312,0.0007222494,0.00069243775,0.00043425697,0.00033660862,0.0011116618,0.0006131486,0.0009067112,0.0012388733],"category_scores_gemma":[0.0058210194,0.00027127587,0.00050239824,0.0004635316,0.001020042,0.0010810766,0.00083720364,0.0009869848,0.0005394462],"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":[0.0003694545,0.00008630601,0.0020586383,0.00027793154,0.00012432724,0.00020753178,0.00023749292,0.8748217,0.02856076,0.051728923,0.00084895274,0.040677883],"study_design_scores_gemma":[0.000002905528,0.000041303938,0.00016496542,0.000007055496,0.000007128262,0.000047250942,0.000012670472,0.99423295,0.0040073106,0.0012890167,0.00017759342,0.000009786324],"about_ca_topic_score_codex":0.0018693553,"about_ca_topic_score_gemma":0.0014034971,"teacher_disagreement_score":0.0018693553,"about_ca_system_score_codex":0.0009601777,"about_ca_system_score_gemma":0.00090647285,"threshold_uncertainty_score":0.00957036},"labels":[],"label_agreement":null},{"id":"W3141811040","doi":"10.1109/tvt.2021.3069426","title":"An Adversarial Attack Based on Incremental Learning Techniques for Unmanned in 6G Scenes","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":10,"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 New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Adversarial system; Software deployment; Computer science; Artificial intelligence; Machine learning; Forgetting; Deep learning; Artificial neural network; Deep neural networks; Incremental learning; Pascal (unit); Computer security","score_opus":0.014490792182113047,"score_gpt":0.289374839424724,"score_spread":0.27488404724261095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141811040","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":[0.08614953,0.000708881,0.9040579,0.0008064967,0.0002757445,0.000108739565,0.00016494391,0.0017761135,0.005951687],"genre_scores_gemma":[0.9319555,0.000288775,0.06370554,0.00042894055,0.000061770195,0.00006978146,0.0002547779,0.000088048306,0.0031468077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993315,0.00015250033,0.000021418504,0.0001258324,0.00023280972,0.00013600057],"domain_scores_gemma":[0.99931633,0.00032234116,0.00006679666,0.00015373864,0.00009226109,0.0000485291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071499933,0.0010631962,0.0005918784,0.00033388459,0.00040267713,0.00045398972,0.0009152501,0.0007587633,0.0013976883],"category_scores_gemma":[0.0021459206,0.00021100353,0.00064227125,0.00023605142,0.0009177317,0.0012975612,0.001374563,0.00158721,0.00026687604],"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":[0.0004786564,0.00011676129,0.0018322242,0.00008199208,0.0001126222,0.00072009256,0.00014448474,0.81827354,0.02348485,0.01842086,0.0076842993,0.12864973],"study_design_scores_gemma":[0.000008112145,0.00007472001,0.00030680283,0.0000061575674,0.000009836339,0.0001385818,0.00001347711,0.9893,0.0048940443,0.0040952447,0.0011406041,0.0000123961145],"about_ca_topic_score_codex":0.002236498,"about_ca_topic_score_gemma":0.0021891554,"teacher_disagreement_score":0.002236498,"about_ca_system_score_codex":0.00052413,"about_ca_system_score_gemma":0.0004482763,"threshold_uncertainty_score":0.004675746},"labels":[],"label_agreement":null},{"id":"W3150493802","doi":"10.1109/tvt.2021.3069921","title":"A Novel Reinforcement Learning-Based Cooperative Traffic Signal System Through Max-Pressure Control","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":77,"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":"Reinforcement learning; Computer science; Transmission (telecommunications); Traffic flow (computer networking); Data transmission; SIGNAL (programming language); Traffic generation model; Real-time computing; Network traffic control; Computer network; Artificial intelligence; Telecommunications","score_opus":0.006261894909769767,"score_gpt":0.19082298244007195,"score_spread":0.18456108753030218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150493802","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":[0.03549898,0.00023422242,0.9570085,0.00028292145,0.00012906268,0.00007019513,0.000038699978,0.0009184209,0.0058189873],"genre_scores_gemma":[0.96186835,0.000087803215,0.03465428,0.00011322093,0.000047465994,0.00011582997,0.00004293846,0.0000246275,0.0030454234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939525,0.00011308203,0.000031668387,0.00019277792,0.0001625201,0.00010470694],"domain_scores_gemma":[0.99944276,0.00015320818,0.00008771431,0.000047299014,0.00018712474,0.000081853046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007071849,0.0007561528,0.0008746685,0.00038158643,0.00075294904,0.0010106782,0.0021305224,0.00096632104,0.0021333555],"category_scores_gemma":[0.0012460242,0.00029275173,0.00051403244,0.000400642,0.0007915711,0.0010843958,0.001426203,0.0010327484,0.00043260882],"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":[0.00023734782,0.00022288068,0.0010628765,0.00013630922,0.00008133218,0.0003771244,0.00026053147,0.8658726,0.017793134,0.018959293,0.0026737102,0.09232281],"study_design_scores_gemma":[0.000014362904,0.00004620516,0.00004749335,0.000002267244,0.0000064892347,0.000016929867,0.0000045459474,0.9978556,0.00061902887,0.00093323685,0.00044811476,0.0000057176976],"about_ca_topic_score_codex":0.005344635,"about_ca_topic_score_gemma":0.0028944295,"teacher_disagreement_score":0.005344635,"about_ca_system_score_codex":0.0006916427,"about_ca_system_score_gemma":0.0009775907,"threshold_uncertainty_score":0.010627031},"labels":[],"label_agreement":null},{"id":"W3154061193","doi":"10.1109/tvt.2021.3071622","title":"Remaining Useful Life Assessment for Lithium-Ion Batteries Using CNN-LSTM-DNN Hybrid Method","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":291,"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","keywords":"Computer science; Artificial neural network; Reliability (semiconductor); Convolutional neural network; Battery (electricity); Artificial intelligence; Mean squared error; Deep learning; Reliability engineering; Machine learning; Engineering; Statistics; Mathematics","score_opus":0.033034302534706385,"score_gpt":0.325112979276077,"score_spread":0.2920786767413706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154061193","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29098403,0.0030884054,0.69300157,0.00036176186,0.00017621435,0.00009371006,0.00077238446,0.0034632545,0.008058566],"genre_scores_gemma":[0.9501641,0.000598473,0.045049693,0.00008222709,0.00003346569,0.000070421076,0.0005899851,0.00004395028,0.0033678524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991643,0.000010856353,0.000007901856,0.000024897052,0.00002552695,0.000014401849],"domain_scores_gemma":[0.99984396,0.00004246447,0.000019498992,0.000008132855,0.000079082536,0.0000068429363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197622,0.00080729,0.00035204622,0.00056140707,0.00018044561,0.00041923946,0.00065549166,0.00047534882,0.0010080918],"category_scores_gemma":[0.00064246927,0.00019384276,0.00040811938,0.0003983562,0.0001150575,0.00058410043,0.00026712118,0.00029250482,0.00024652132],"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":[0.0002338623,0.000097777884,0.0063639944,0.00016391526,0.00010445074,0.00017080842,0.000057838297,0.66431326,0.011272245,0.0007388529,0.0026471466,0.31383577],"study_design_scores_gemma":[0.0000019230504,0.000009930422,0.00055350136,0.0000036115082,0.000008543708,0.0000081830985,0.0000050687086,0.99786264,0.0012697855,0.000158697,0.00011486751,0.0000033257575],"about_ca_topic_score_codex":0.016306914,"about_ca_topic_score_gemma":0.017778333,"teacher_disagreement_score":0.016306914,"about_ca_system_score_codex":0.0007191279,"about_ca_system_score_gemma":0.00044401456,"threshold_uncertainty_score":0.032423973},"labels":[],"label_agreement":null},{"id":"W3158238597","doi":"10.1109/tvt.2021.3076565","title":"Cooperative SM-Based NOMA Scheme With SWIPT","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Maximum power transfer theorem; Relay; Base station; Noma; Wireless; Computer science; Transmitter power output; Convex optimization; Signal-to-noise ratio (imaging); Electronic engineering; Power (physics); Iterative method; Algorithm; Mathematical optimization; Mathematics; Regular polygon; Telecommunications; Engineering; Channel (broadcasting); Telecommunications link; Transmitter","score_opus":0.008480560932910547,"score_gpt":0.21210565536664158,"score_spread":0.20362509443373103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158238597","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":[0.046709463,0.001498018,0.93965435,0.00034254984,0.00020286022,0.000088685796,0.00008975209,0.0003516427,0.011062744],"genre_scores_gemma":[0.8919099,0.0005537917,0.1031835,0.00025102933,0.00009801076,0.00013442965,0.00006723799,0.000016531005,0.0037856072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907124,0.00037115958,0.000047034795,0.00016973779,0.0001981618,0.00014256788],"domain_scores_gemma":[0.9993247,0.0002488952,0.000101691505,0.00013132465,0.00014730502,0.000046021756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006567179,0.0010491537,0.0009826818,0.00044138753,0.00085583783,0.0007585526,0.001274645,0.00076932885,0.000941896],"category_scores_gemma":[0.0012892172,0.00036855097,0.0007123594,0.0009290746,0.0007105275,0.0012669892,0.0015376615,0.00076545274,0.00047036904],"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":[0.0010336072,0.0003535656,0.002922187,0.0011035536,0.0004379681,0.003194481,0.0011204217,0.40113539,0.14967567,0.09701007,0.008211448,0.33380163],"study_design_scores_gemma":[0.000055262444,0.00042439837,0.00033407426,0.000035369347,0.000079653844,0.0014979645,0.00015866625,0.96717906,0.010565608,0.014093321,0.005529901,0.00004676204],"about_ca_topic_score_codex":0.00095396425,"about_ca_topic_score_gemma":0.0020827083,"teacher_disagreement_score":0.001274645,"about_ca_system_score_codex":0.00039183386,"about_ca_system_score_gemma":0.00076405646,"threshold_uncertainty_score":0.003473103},"labels":[],"label_agreement":null},{"id":"W3158496405","doi":"10.1109/tvt.2021.3076691","title":"Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"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","funders":"","keywords":"Baseband; Orthogonal frequency-division multiplexing; Beamforming; Precoding; MIMO; Electronic engineering; Subcarrier; Computer science; Orthogonality; MIMO-OFDM; Spectral efficiency; Interference (communication); Singular value decomposition; Channel (broadcasting); Algorithm; Engineering; Mathematics; Telecommunications; Bandwidth (computing)","score_opus":0.00835720398083677,"score_gpt":0.23312235689268485,"score_spread":0.22476515291184807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158496405","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":[0.003628113,0.000120576864,0.9950853,0.000055208693,0.000012702589,0.000009490076,0.000025944237,0.00008343247,0.0009792182],"genre_scores_gemma":[0.33216357,0.000735562,0.6629764,0.00014233869,0.00008434977,0.00014449832,0.00021707515,0.00008823432,0.0034479687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996339,0.00012987755,0.00001668804,0.000051972504,0.00013020905,0.00003727099],"domain_scores_gemma":[0.99971205,0.000100604324,0.00004727333,0.000036192556,0.00007960712,0.000024155102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048414274,0.0010809411,0.00059088133,0.00031261254,0.00027150876,0.0006567085,0.0004993739,0.0005640032,0.0015999235],"category_scores_gemma":[0.00073665485,0.00032464592,0.00052801287,0.0005663494,0.0004603232,0.00095191505,0.00068255037,0.00063227245,0.00059652206],"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":[0.000121733494,0.000057670666,0.00057783193,0.00019001515,0.00009717073,0.00009045206,0.000075675045,0.76936007,0.041779015,0.03580283,0.002499786,0.14934774],"study_design_scores_gemma":[0.000004640593,0.000037951475,0.00006622655,0.0000040001664,0.0000054199677,0.00002338225,0.000007475255,0.9938259,0.0021598954,0.0029977444,0.00086003036,0.000007426043],"about_ca_topic_score_codex":0.0010692099,"about_ca_topic_score_gemma":0.0016967108,"teacher_disagreement_score":0.0015999235,"about_ca_system_score_codex":0.00036891567,"about_ca_system_score_gemma":0.00055852864,"threshold_uncertainty_score":0.0053523183},"labels":[],"label_agreement":null},{"id":"W3159173436","doi":"10.1109/tvt.2022.3160586","title":"Probabilistic Analysis of Operating Modes in Cache-Enabled Full-Duplex D2D Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","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":"Ericsson (Canada); Polytechnique Montréal","funders":"","keywords":"Backhaul (telecommunications); Cache; Computer science; Computer network; Probabilistic logic; Popularity; Cellular network; Key (lock); Transmission (telecommunications); Core network; Duplex (building); Base station; Telecommunications; Computer security","score_opus":0.011560436336485673,"score_gpt":0.21950096007708994,"score_spread":0.20794052374060426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159173436","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":[0.48440036,0.001564276,0.5055969,0.00053258566,0.000028415066,0.00016523457,0.0007794904,0.00034480233,0.0065879207],"genre_scores_gemma":[0.9924176,0.00041936422,0.0059417863,0.00002358565,0.000013313901,0.000054528613,0.00012508762,0.000023715702,0.0009810813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985683,0.0004865094,0.00007512341,0.00022068377,0.0003741662,0.00027525556],"domain_scores_gemma":[0.987604,0.009058783,0.0013239612,0.0005429574,0.001207654,0.0002625758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023466048,0.0005922334,0.00070624944,0.0013449764,0.00062594685,0.0015349173,0.0013041527,0.0007987646,0.0012850479],"category_scores_gemma":[0.010084744,0.00080992136,0.0006303035,0.0012684411,0.0014037049,0.0020462808,0.0009533573,0.00080649473,0.00024044908],"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":[0.00022481989,0.00006125297,0.010702797,0.00010781844,0.00006312711,0.00025896853,0.0002740433,0.9217709,0.004751344,0.04809413,0.0008726434,0.012818125],"study_design_scores_gemma":[0.000004171156,0.000022735687,0.0016648894,0.000009082405,0.000013844048,0.00009323036,0.000058368612,0.9894733,0.0006566135,0.0077401847,0.00024686477,0.00001680463],"about_ca_topic_score_codex":0.0049543288,"about_ca_topic_score_gemma":0.004311602,"teacher_disagreement_score":0.0049543288,"about_ca_system_score_codex":0.0022351693,"about_ca_system_score_gemma":0.00070066605,"threshold_uncertainty_score":0.01621741},"labels":[],"label_agreement":null},{"id":"W3162659529","doi":"10.1109/tvt.2021.3077877","title":"NC–MAC: A Distributed MAC Protocol for Reliable Beacon Broadcasting in V2X","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":21,"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":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Computer network; Computer science; Broadcasting (networking); Vehicular ad hoc network; Scalability; Wireless ad hoc network; Reliability (semiconductor); Vehicular communication systems; Mobile ad hoc network; Protocol (science); Linear network coding; Telecommunications; Wireless","score_opus":0.03633480859080925,"score_gpt":0.3098131682507191,"score_spread":0.27347835965990985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162659529","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015363142,0.0011965947,0.97447795,0.00033879108,0.00035839478,0.00040507189,0.00012975298,0.001995073,0.005735331],"genre_scores_gemma":[0.6816038,0.0013954077,0.30403775,0.00051323435,0.00030793078,0.0014561561,0.0006258545,0.00017750832,0.009882371],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935204,0.00013344841,0.000059249738,0.00009597373,0.0002944239,0.00006493944],"domain_scores_gemma":[0.99831486,0.00037396586,0.00022692788,0.00023683158,0.0007761462,0.00007118193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008946481,0.00052198494,0.0005261653,0.0009083028,0.00085443474,0.00066160725,0.0015144589,0.00049969245,0.0010895192],"category_scores_gemma":[0.002717189,0.0001746329,0.00026310183,0.000607878,0.00065684435,0.00074646424,0.00095384114,0.0009688995,0.00034191317],"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":[0.000937041,0.00034042887,0.0021531335,0.000979043,0.00019613781,0.0008514379,0.00091602263,0.15281425,0.18666944,0.11402097,0.036653504,0.50346863],"study_design_scores_gemma":[0.00014312998,0.00048363756,0.00088803424,0.00007024431,0.000092836184,0.00077024073,0.0001108576,0.8927119,0.03895157,0.009506216,0.05617171,0.00009973137],"about_ca_topic_score_codex":0.0038662604,"about_ca_topic_score_gemma":0.0038397044,"teacher_disagreement_score":0.0038662604,"about_ca_system_score_codex":0.00077843457,"about_ca_system_score_gemma":0.0016615465,"threshold_uncertainty_score":0.007687509},"labels":[],"label_agreement":null},{"id":"W3163165747","doi":"10.1109/tvt.2021.3081534","title":"Device-Level Parallel-in-Time Simulation of MMC-Based Energy System for Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Real-time simulation and control systems","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":false,"ca_institutions":"University of Alberta","funders":"Science and Engineering Research Council; China Scholarship Council","keywords":"Modular design; Converters; Computer science; Transient (computer programming); Graphics processing unit; Interpolation (computer graphics); Electronic engineering; System-level simulation; Computation; Nonlinear system; Bipolar junction transistor; Diode; Simulation; Transistor; Engineering; Electrical engineering; Parallel computing; Algorithm; Voltage; Frame (networking)","score_opus":0.012351621829422059,"score_gpt":0.22080221914345802,"score_spread":0.20845059731403595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163165747","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":[0.22374561,0.0003717725,0.7263951,0.00036479672,0.00013530512,0.00017324925,0.000897076,0.0014690228,0.046447992],"genre_scores_gemma":[0.958442,0.00018324667,0.03566687,0.000053856696,0.00001518145,0.00021784377,0.0004661578,0.00009996507,0.0048549124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999013,0.000021226317,0.000004165583,0.000013740704,0.000041313986,0.000018209274],"domain_scores_gemma":[0.9998692,0.000049116643,0.000015701467,0.000015918187,0.000039004495,0.000010990376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015934481,0.0004113135,0.00052760233,0.00030328034,0.00046473948,0.0005290023,0.0007675228,0.0006969091,0.0034424558],"category_scores_gemma":[0.00045810302,0.00021431196,0.0006032866,0.0004066853,0.00028717204,0.0004497729,0.00038918067,0.0005125627,0.00034127897],"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":[0.00001788833,0.000014380339,0.0004956486,0.00002190355,0.000007827131,0.000037287635,0.000019644724,0.9936603,0.0012934884,0.002037759,0.00025897464,0.0021350153],"study_design_scores_gemma":[0.0000020623688,0.0000045476627,0.000052457144,9.4078416e-7,0.0000012094767,0.0000032569376,0.0000030721092,0.999196,0.0002563453,0.00021451096,0.0002644155,0.0000011848045],"about_ca_topic_score_codex":0.010935524,"about_ca_topic_score_gemma":0.007148848,"teacher_disagreement_score":0.010935524,"about_ca_system_score_codex":0.00056868675,"about_ca_system_score_gemma":0.00090437825,"threshold_uncertainty_score":0.021743715},"labels":[],"label_agreement":null},{"id":"W3163287681","doi":"10.1109/tvt.2021.3074820","title":"PriParkRec: Privacy-Preserving Decentralized Parking Recommendation Service","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Applied Basic Research Fund of Qingdao; Deanship of Scientific Research, King Saud University; National Natural Science Foundation of China","keywords":"Computer security; Service (business); Anonymity; Computer science; Sharing economy; Internet privacy; Service provider; Reputation; Business; World Wide Web","score_opus":0.015854252969121872,"score_gpt":0.2498330651254527,"score_spread":0.23397881215633082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163287681","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":[0.08728563,0.000987136,0.7677154,0.0022503117,0.0005066191,0.0017705051,0.0030315712,0.095527545,0.040925276],"genre_scores_gemma":[0.8739502,0.00044552772,0.098595135,0.0010242315,0.0001341199,0.00051149155,0.0035584325,0.0005037078,0.021277217],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825794,0.00027437104,0.00013366422,0.00028846122,0.0007721372,0.00027350656],"domain_scores_gemma":[0.9977738,0.00022062325,0.00017937108,0.0010427326,0.0005288198,0.00025455144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013691266,0.0005706928,0.0008390521,0.00075523497,0.0010897145,0.0011527191,0.0023838505,0.0015290123,0.005720643],"category_scores_gemma":[0.002924551,0.00036841276,0.00064267876,0.00075363356,0.00064152555,0.002562357,0.0035487912,0.0014859806,0.0040501887],"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":[0.004422376,0.001136267,0.011832831,0.0010635628,0.0003108788,0.004904516,0.0011807615,0.033636,0.10932257,0.103597805,0.17500557,0.55358684],"study_design_scores_gemma":[0.000565179,0.000606252,0.004062087,0.0000718056,0.00010446788,0.0035109452,0.0004118731,0.7173061,0.06621923,0.039904524,0.16688058,0.0003569305],"about_ca_topic_score_codex":0.0030418583,"about_ca_topic_score_gemma":0.0029006798,"teacher_disagreement_score":0.005720643,"about_ca_system_score_codex":0.0007214318,"about_ca_system_score_gemma":0.001812858,"threshold_uncertainty_score":0.019137442},"labels":[],"label_agreement":null},{"id":"W3164021125","doi":"10.1109/tvt.2021.3082810","title":"Artificial Noise Assisted In-Band Full-Duplex Secure Channel Estimation","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Channel (broadcasting); Computer science; Transmitter; Artificial noise; Node (physics); Transmission (telecommunications); Transmitter power output; Bit error rate; Interference (communication); Computer network; Electronic engineering; Telecommunications; Engineering","score_opus":0.013936538678500298,"score_gpt":0.2289017039167006,"score_spread":0.21496516523820028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164021125","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":[0.036610413,0.0001856232,0.961019,0.00008446028,0.000045180223,0.000014656854,0.000021320797,0.00022452271,0.001794857],"genre_scores_gemma":[0.88939863,0.00024047379,0.106939,0.00007472827,0.000046016452,0.000030748193,0.000052347303,0.000023696366,0.00319444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946994,0.00014226709,0.000024097122,0.000088220724,0.00021915576,0.0000563684],"domain_scores_gemma":[0.9992889,0.00028563951,0.00012225748,0.00013401119,0.00014669009,0.000022586499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038560198,0.00041259627,0.00039145246,0.0002915529,0.000361094,0.00051474484,0.00063074945,0.00052299397,0.00079452863],"category_scores_gemma":[0.0012223776,0.00017578814,0.00028925543,0.00025620323,0.0005684791,0.00097338797,0.0006211077,0.00048060203,0.00030299363],"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":[0.00096544577,0.0001548543,0.003887798,0.00029510778,0.0001047904,0.0005908367,0.00046238292,0.40765426,0.2551637,0.044429164,0.0019010201,0.28439072],"study_design_scores_gemma":[0.000010067327,0.00012368536,0.00036894475,0.000010058517,0.000019035775,0.0002802285,0.000026514213,0.9407434,0.053814523,0.0024354397,0.0021435702,0.000024427552],"about_ca_topic_score_codex":0.0004919574,"about_ca_topic_score_gemma":0.0007050876,"teacher_disagreement_score":0.00079452863,"about_ca_system_score_codex":0.00026581457,"about_ca_system_score_gemma":0.0003698263,"threshold_uncertainty_score":0.00265795},"labels":[],"label_agreement":null},{"id":"W3164308355","doi":"10.1109/tvt.2021.3082776","title":"Unsupervised Deep Learning Approach for Near Optimal Power Allocation in CRAN","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Deep learning; Artificial intelligence; Computational complexity theory; Cellular network; Face (sociological concept); Distributed computing; Machine learning; Algorithm; Computer network","score_opus":0.0072773553017349245,"score_gpt":0.2122699269522055,"score_spread":0.20499257165047058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164308355","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":[0.020336187,0.0003580918,0.97478217,0.00026599303,0.000031810177,0.000027261645,0.000044401735,0.0003149943,0.0038390823],"genre_scores_gemma":[0.8613166,0.00030644436,0.13171437,0.00029704298,0.000060532213,0.00010103593,0.00011345202,0.000111264984,0.0059792115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997465,0.000073100186,0.000010207151,0.000050525807,0.000055768203,0.00006384546],"domain_scores_gemma":[0.99955827,0.00026815047,0.000041485113,0.000027270788,0.000077828736,0.000026974521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006425284,0.0007057381,0.0009262043,0.0002933857,0.0003093129,0.0007400714,0.000992442,0.0008255607,0.0027155306],"category_scores_gemma":[0.0014802613,0.00047957644,0.000364109,0.00044005053,0.0007794143,0.00082890457,0.0009285494,0.001345506,0.0003294811],"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":[0.0000317558,0.000021920732,0.00017339841,0.000022466926,0.000012411604,0.00002597247,0.000016016822,0.9757068,0.0006703219,0.005249511,0.00071121927,0.017358175],"study_design_scores_gemma":[0.0000016508568,0.0000034474604,0.000011835991,0.0000010391626,9.59184e-7,0.0000031318045,0.0000016423458,0.9986358,0.000074247764,0.0011913963,0.000073928044,8.228312e-7],"about_ca_topic_score_codex":0.006497996,"about_ca_topic_score_gemma":0.00917739,"teacher_disagreement_score":0.006497996,"about_ca_system_score_codex":0.0009604714,"about_ca_system_score_gemma":0.0013433996,"threshold_uncertainty_score":0.01292038},"labels":[],"label_agreement":null},{"id":"W3165716753","doi":"10.1109/tvt.2021.3083255","title":"Drone-Small-Cell-Assisted Resource Slicing for 5G Uplink Radio Access Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":46,"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 Waterloo","funders":"Nanjing University of Posts and Telecommunications; Six Talent Peaks Project in Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Provisioning; Computer network; Quality of service; Base station; Resource allocation; User equipment; Distributed computing","score_opus":0.012019413782200254,"score_gpt":0.22256616707197394,"score_spread":0.21054675328977368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165716753","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":[0.059166595,0.00047057655,0.93701845,0.00018477178,0.0000398947,0.000086707725,0.00009908181,0.00029718262,0.002636758],"genre_scores_gemma":[0.86219233,0.00040614922,0.13608922,0.000073523894,0.000022507933,0.00007556465,0.00014473537,0.000039253526,0.0009567313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946827,0.00019445702,0.000016311169,0.00010365247,0.00011138192,0.00010586166],"domain_scores_gemma":[0.9992219,0.00040040936,0.00011790811,0.00010515817,0.00007613895,0.00007850531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006415769,0.00072457024,0.0006918761,0.00033117348,0.00057213637,0.00064283714,0.001018679,0.000572123,0.0014154002],"category_scores_gemma":[0.0017317794,0.00038683266,0.0005482788,0.0007133438,0.0005463215,0.0011882783,0.0009612037,0.00077245384,0.00017762756],"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":[0.00006772471,0.000036624184,0.00053539796,0.000046679645,0.000017858532,0.00008899664,0.000051449766,0.96144307,0.003772258,0.0072320993,0.0008740211,0.025833864],"study_design_scores_gemma":[0.0000034236166,0.000023823608,0.00008792096,0.000002772402,0.0000038827966,0.000019396331,0.00001809289,0.9974256,0.00058402197,0.0015038846,0.00032355406,0.0000035132248],"about_ca_topic_score_codex":0.008930819,"about_ca_topic_score_gemma":0.011290607,"teacher_disagreement_score":0.008930819,"about_ca_system_score_codex":0.0010808628,"about_ca_system_score_gemma":0.0012153451,"threshold_uncertainty_score":0.017757714},"labels":[],"label_agreement":null},{"id":"W3168698109","doi":"10.1109/tvt.2021.3074991","title":"Content Delivery Analysis in Cellular Networks With Aerial Caching and mmWAVE Backhaul","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":33,"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 Guelph; University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Backhaul (telecommunications); Stochastic geometry; Cellular network; Computer science; Telecommunications link; Computer network; Wireless; Non-line-of-sight propagation; Wireless network; Probabilistic logic; Base station; Telecommunications","score_opus":0.006397327953678594,"score_gpt":0.17077148041726073,"score_spread":0.16437415246358214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168698109","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":[0.30926517,0.0035405343,0.6767445,0.0008635649,0.00011050989,0.00013953728,0.00035105724,0.00037360084,0.008611466],"genre_scores_gemma":[0.9876274,0.00090158824,0.0095433425,0.0000822708,0.000044130516,0.00003836042,0.00007827242,0.000028583485,0.0016560485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999081,0.00023766657,0.00003301838,0.00012975832,0.0002816131,0.00023691864],"domain_scores_gemma":[0.9956345,0.0024947966,0.000664182,0.00019705758,0.00088949624,0.00012005863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001170782,0.0010832673,0.00084742,0.0013525197,0.0007159154,0.001168222,0.0013602452,0.0011046024,0.0010934732],"category_scores_gemma":[0.007144845,0.0004176949,0.00056114787,0.0012672106,0.0012748052,0.0020800845,0.0008718836,0.0005927515,0.00022539849],"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":[0.0000949615,0.000031119413,0.0022874714,0.000095804644,0.00004545214,0.00034239865,0.00008861512,0.9580887,0.0037257322,0.027361391,0.0007754225,0.007062814],"study_design_scores_gemma":[0.000002837044,0.000022408634,0.00033909912,0.000005072068,0.000013676234,0.00006226497,0.00003214631,0.9968009,0.0006383313,0.0018856175,0.0001919466,0.000005738276],"about_ca_topic_score_codex":0.015856728,"about_ca_topic_score_gemma":0.006780603,"teacher_disagreement_score":0.015856728,"about_ca_system_score_codex":0.0037580994,"about_ca_system_score_gemma":0.0010076603,"threshold_uncertainty_score":0.03152889},"labels":[],"label_agreement":null},{"id":"W3170147671","doi":"10.1109/tvt.2021.3085415","title":"Sum Rate Analysis of Generalized Space Shift Keying-Aided MIMO-NOMA Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"Memorial University of Newfoundland; Carleton University","funders":"Khalifa University of Science, Technology and Research","keywords":"Pairwise error probability; Noma; MIMO; Spectral efficiency; Telecommunications link; Computer science; Keying; Algorithm; Bit error rate; Mathematics; Channel (broadcasting); Topology (electrical circuits); Electronic engineering; Telecommunications; Engineering; Combinatorics","score_opus":0.012290115183101984,"score_gpt":0.23367888146311716,"score_spread":0.22138876628001516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170147671","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":[0.2067675,0.0066059837,0.7341029,0.0011068254,0.00017959168,0.00017058066,0.0005941978,0.0005553813,0.04991702],"genre_scores_gemma":[0.9789252,0.001700493,0.015607399,0.00012918188,0.00009571843,0.00011388634,0.00013858982,0.00007710096,0.0032124359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785113,0.0009485213,0.00006709523,0.00014116766,0.00065233826,0.0003397817],"domain_scores_gemma":[0.99345195,0.004325966,0.0005850841,0.0003288309,0.0012062171,0.00010202632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025334323,0.0019994492,0.0014562738,0.0010009325,0.0007132857,0.0019424518,0.0013747378,0.0010656228,0.0033166616],"category_scores_gemma":[0.008056747,0.0005047868,0.000820952,0.0014385806,0.0015266496,0.0014976748,0.0019802973,0.0009817231,0.0007514392],"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":[0.000100641795,0.000027577773,0.00068497827,0.00015477439,0.000059078957,0.00026153983,0.000099123834,0.9632514,0.0040421356,0.02462768,0.0007421756,0.0059489137],"study_design_scores_gemma":[0.000006176404,0.000044087996,0.00026803135,0.00001739408,0.000017183009,0.00010330681,0.000038961287,0.99470276,0.0008673774,0.0036654656,0.00025413412,0.0000151090835],"about_ca_topic_score_codex":0.004166913,"about_ca_topic_score_gemma":0.0025165584,"teacher_disagreement_score":0.004166913,"about_ca_system_score_codex":0.0019557357,"about_ca_system_score_gemma":0.001225498,"threshold_uncertainty_score":0.014189899},"labels":[],"label_agreement":null},{"id":"W3171173903","doi":"10.1109/tvt.2021.3088869","title":"Privacy-Preserving Task Matching With Threshold Similarity Search via Vehicular Crowdsourcing","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; China Scholarship Council; National Natural Science Foundation of China","keywords":"Crowdsourcing; Computer science; Task (project management); Encryption; Matching (statistics); Upload; Computer security; Outsourcing; Information retrieval; World Wide Web; Engineering","score_opus":0.020103108716462387,"score_gpt":0.2557938901347947,"score_spread":0.2356907814183323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171173903","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":[0.04927329,0.00040117218,0.94578874,0.00031672805,0.00006645575,0.00022643413,0.00022823641,0.000660865,0.003038108],"genre_scores_gemma":[0.88523674,0.00021262551,0.11031467,0.00017958629,0.00004618513,0.00021759185,0.0003093801,0.00006304445,0.003420035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99411327,0.0015404416,0.00045750246,0.0013012037,0.0018876093,0.00069993874],"domain_scores_gemma":[0.99594057,0.0010085633,0.0004738722,0.0018025674,0.0005116364,0.0002629492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025951269,0.0008405164,0.0019999736,0.00090372184,0.0014785378,0.0018042404,0.0027871497,0.0016983754,0.0018926682],"category_scores_gemma":[0.009794623,0.00041806512,0.0011390575,0.0024292008,0.001238795,0.0045252237,0.004815119,0.0011138704,0.000920732],"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":[0.00182393,0.00056225003,0.0046248743,0.0006346667,0.00027296323,0.0012284564,0.002008585,0.4257168,0.049896654,0.15753812,0.0090639535,0.3466288],"study_design_scores_gemma":[0.00009121867,0.00025145483,0.0005244868,0.00001758129,0.00004254849,0.0005028643,0.00034278847,0.89456236,0.014332734,0.084255464,0.0050212797,0.000055258788],"about_ca_topic_score_codex":0.003080116,"about_ca_topic_score_gemma":0.0018388605,"teacher_disagreement_score":0.003080116,"about_ca_system_score_codex":0.0013301754,"about_ca_system_score_gemma":0.0027068327,"threshold_uncertainty_score":0.013724506},"labels":[],"label_agreement":null},{"id":"W3174155297","doi":"10.1109/tvt.2021.3093892","title":"Energy-Efficient D2D-Assisted Computation Offloading in NOMA-Enabled Cognitive Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":31,"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":"Chongqing Municipal Education Commission; National Natural Science Foundation of China","keywords":"Computation offloading; Computer science; Cognitive radio; Energy consumption; Computation; Transmitter power output; Wireless; User equipment; Power control; Convex optimization; Mobile edge computing; Computer network; Distributed computing; Edge computing; Power (physics); Server; Transmitter; Regular polygon; Algorithm; Base station; Engineering; Telecommunications; Enhanced Data Rates for GSM Evolution; Mathematics; Channel (broadcasting)","score_opus":0.010806212923221332,"score_gpt":0.2283834795277014,"score_spread":0.21757726660448007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174155297","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":[0.07270364,0.00088401156,0.92082053,0.00025670987,0.00010965652,0.00003395831,0.000046778438,0.00015668881,0.0049879705],"genre_scores_gemma":[0.967139,0.00033981365,0.031207226,0.000055094137,0.000027826834,0.000037100588,0.000023139677,0.000011152031,0.0011595974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999724,0.00006968622,0.000009764697,0.000048857113,0.000076469674,0.00007123966],"domain_scores_gemma":[0.9997751,0.00011519878,0.000028959796,0.000027060512,0.000034184537,0.000019489617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018021,0.0006048195,0.0006599095,0.0002541855,0.0004968326,0.0006927707,0.0007294783,0.00036484282,0.00054835377],"category_scores_gemma":[0.0007345953,0.0002048744,0.00037732773,0.0005257013,0.00048656302,0.0004972403,0.0009125172,0.0003990004,0.00010431733],"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":[0.00018157039,0.000090563866,0.00060973613,0.00011287775,0.000033705484,0.00021634027,0.00009494253,0.91112167,0.0132501805,0.010409121,0.0016279863,0.0622513],"study_design_scores_gemma":[0.000003940515,0.000019881985,0.000082924285,0.0000017693819,0.0000034542131,0.00002309529,0.000010524418,0.99773526,0.0007515924,0.0011785552,0.00018541799,0.000003622018],"about_ca_topic_score_codex":0.0038949281,"about_ca_topic_score_gemma":0.00428766,"teacher_disagreement_score":0.0038949281,"about_ca_system_score_codex":0.00046333263,"about_ca_system_score_gemma":0.0007859344,"threshold_uncertainty_score":0.007744491},"labels":[],"label_agreement":null},{"id":"W3174799624","doi":"10.1109/tvt.2021.3094314","title":"Reducing Correlation in Compact Arrays by Adjusting Near-Field Phase Distribution for MIMO Applications","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":22,"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","funders":"Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"MIMO; Electronic engineering; Phase (matter); Channel (broadcasting); Channel capacity; Measure (data warehouse); Antenna (radio); Spatial correlation; Transmission (telecommunications); Antenna array; Computer science; Topology (electrical circuits); Engineering; Telecommunications; Physics; Electrical engineering","score_opus":0.009362784678542301,"score_gpt":0.2423231034618215,"score_spread":0.23296031878327922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174799624","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":[0.116739936,0.0005717767,0.8777903,0.00016043361,0.000096606746,0.000027379923,0.000038689064,0.0007091075,0.00386577],"genre_scores_gemma":[0.7068026,0.00043264087,0.29007155,0.00019531249,0.00012320965,0.000061188024,0.00008033876,0.0000839283,0.0021493384],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966025,0.00006476981,0.00001506566,0.000069071626,0.0001611717,0.000029746061],"domain_scores_gemma":[0.99884343,0.0004013398,0.0003193909,0.00019857968,0.00020845195,0.000028778646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025682786,0.000572522,0.00034296815,0.00028443197,0.00021221187,0.00039549603,0.000389387,0.0003844777,0.00074960076],"category_scores_gemma":[0.0012183326,0.00023102356,0.00019695445,0.0004739517,0.0003165193,0.0008524579,0.0004515258,0.00044434547,0.0004238401],"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":[0.00023573519,0.00011490437,0.0014111776,0.0001505622,0.000045739376,0.00015936348,0.0001388194,0.057462752,0.800438,0.008474784,0.00083542994,0.13053273],"study_design_scores_gemma":[0.000041315056,0.00085612293,0.001921346,0.000028731973,0.000057173816,0.0008154806,0.00008867085,0.2850321,0.69743013,0.0033928768,0.0102759795,0.00006003216],"about_ca_topic_score_codex":0.00013661025,"about_ca_topic_score_gemma":0.00029948182,"teacher_disagreement_score":0.00074960076,"about_ca_system_score_codex":0.00027353645,"about_ca_system_score_gemma":0.0001971679,"threshold_uncertainty_score":0.002507627},"labels":[],"label_agreement":null},{"id":"W3175924492","doi":"10.1109/tvt.2021.3090456","title":"Achievable Sum-Rate of Full-Duplex-Based Small Cells With Clustered Interference Alignment","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","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":"Western University","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Interference (communication); Base station; Cluster analysis; Power control; Mathematical optimization; Computer science; Interference alignment; Context (archaeology); Signal-to-noise ratio (imaging); Power (physics); Beamforming; Mathematics; MIMO; Telecommunications; Physics","score_opus":0.012293168217551205,"score_gpt":0.19927198783128366,"score_spread":0.18697881961373247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175924492","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":[0.10999423,0.0008204373,0.8762732,0.00022203509,0.00003819343,0.000069757516,0.00016869516,0.00030085613,0.012112553],"genre_scores_gemma":[0.9612379,0.00041058555,0.03648935,0.00006208738,0.000016151223,0.00009686382,0.00009856407,0.000030669315,0.0015578112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988914,0.0003676824,0.00003605434,0.00016140724,0.0002853914,0.00025806163],"domain_scores_gemma":[0.99833614,0.0009287486,0.00020117035,0.00013238675,0.0003167529,0.00008480301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011903787,0.0012530831,0.0011231347,0.00039707776,0.0005151355,0.0014042838,0.0012640451,0.0008129784,0.0011314168],"category_scores_gemma":[0.002693174,0.00027618793,0.0005680413,0.0009145784,0.0008878092,0.0009401208,0.0015188877,0.0006625579,0.00038877537],"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":[0.00023958967,0.00006457453,0.00065369403,0.00019899558,0.00006746134,0.0002879565,0.00009915588,0.9479495,0.01727043,0.01485647,0.0008650348,0.01744711],"study_design_scores_gemma":[0.000013417624,0.00009221459,0.0001688805,0.00001088181,0.00001688326,0.00009232292,0.00005089733,0.98992246,0.005545692,0.0037125363,0.00036140476,0.0000123861],"about_ca_topic_score_codex":0.0018505659,"about_ca_topic_score_gemma":0.0013757364,"teacher_disagreement_score":0.0018505659,"about_ca_system_score_codex":0.00088138564,"about_ca_system_score_gemma":0.0010498761,"threshold_uncertainty_score":0.0063949823},"labels":[],"label_agreement":null},{"id":"W3182400959","doi":"10.1109/tvt.2021.3084829","title":"Guest Editorial Introduction to the Special Section on Vehicular Networks in the Era of 6G: End-Edge-Cloud Orchestrated Intelligence","year":2021,"lang":"en","type":"editorial","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud computing; Computer science; Prosperity; Telecommunications; Engineering","score_opus":0.00807911128180696,"score_gpt":0.23513134831092317,"score_spread":0.2270522370291162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182400959","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":[0.00004479116,0.0032332581,0.00018352906,0.014479629,0.9800268,0.000014436917,0.00003288942,0.000049629063,0.0019351259],"genre_scores_gemma":[0.00043618467,0.0038268461,0.00009557899,0.00814042,0.97877055,0.000013205174,0.0000322471,0.000036775647,0.008648193],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814653,0.00019686154,0.00019266047,0.0002899965,0.0009991468,0.00017489203],"domain_scores_gemma":[0.9921163,0.0018675403,0.0004737863,0.00016702482,0.0037199776,0.0016554471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022944184,0.0023713908,0.0021688598,0.0025103744,0.002083663,0.0058612274,0.0018940845,0.007162351,0.01789628],"category_scores_gemma":[0.008110948,0.00064459944,0.0016229035,0.0010709822,0.0012805113,0.003552803,0.0011443404,0.011192541,0.016030192],"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":[0.00002791034,0.00001196144,0.000029623094,0.00015132196,0.0000071223885,0.00013813032,0.00001078964,0.00003491276,0.00010913822,0.00038141187,0.9919927,0.007104951],"study_design_scores_gemma":[0.000022412025,0.000030749634,0.00016654703,0.0002036642,0.000018943378,0.00040374152,0.000029235363,0.00015453756,0.0001300823,0.0006742383,0.9981523,0.0000134371585],"about_ca_topic_score_codex":0.00065246975,"about_ca_topic_score_gemma":0.0016763142,"teacher_disagreement_score":0.01789628,"about_ca_system_score_codex":0.0015373615,"about_ca_system_score_gemma":0.001587315,"threshold_uncertainty_score":0.05986899},"labels":[],"label_agreement":null},{"id":"W3183178228","doi":"10.1109/tvt.2021.3098275","title":"Transmission Schemes and Power Allocation for Multiuser Massive MIMO Relaying","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Trường Đại Học Thủ Dầu Một; Department for the Economy; UK Research and Innovation","keywords":"Relay; Transmission (telecommunications); Overhead (engineering); Computer science; MIMO; Spectral efficiency; Computer network; Channel (broadcasting); Transmitter power output; Channel state information; Node (physics); Relay channel; Power (physics); Electronic engineering; Wireless; Telecommunications; Engineering; Transmitter","score_opus":0.020134155579788683,"score_gpt":0.26691562858030815,"score_spread":0.24678147300051947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183178228","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":[0.0425938,0.00135281,0.9485704,0.00019136716,0.000057100173,0.000077082914,0.000030349396,0.00021326228,0.0069139465],"genre_scores_gemma":[0.93365884,0.0006859051,0.06395833,0.00006750632,0.00006130433,0.000077621975,0.000022938711,0.000027208665,0.0014403244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988586,0.00053596,0.000050346076,0.00010836013,0.00033685326,0.00010992515],"domain_scores_gemma":[0.9972703,0.0017672593,0.0003411218,0.00036131733,0.00022347603,0.000036493842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018613365,0.0007835787,0.0006259239,0.000515317,0.00042396496,0.0009720372,0.0008880689,0.00074163236,0.00096766703],"category_scores_gemma":[0.005226062,0.0002834193,0.0004771797,0.0006590996,0.0009412554,0.0012999696,0.0005330993,0.0004826988,0.00024713224],"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":[0.00012555587,0.000071368806,0.00062279,0.00015307621,0.000058652386,0.0001901802,0.00012498864,0.8465322,0.014487424,0.08955259,0.00055454305,0.047526564],"study_design_scores_gemma":[0.000013731987,0.00009897021,0.00028617095,0.000010761228,0.000018261388,0.00013117038,0.000016126041,0.9817523,0.002830597,0.014044414,0.0007826192,0.000014812489],"about_ca_topic_score_codex":0.0005792417,"about_ca_topic_score_gemma":0.00063126965,"teacher_disagreement_score":0.0018613365,"about_ca_system_score_codex":0.0010380148,"about_ca_system_score_gemma":0.00044263853,"threshold_uncertainty_score":0.009843767},"labels":[],"label_agreement":null},{"id":"W3184422670","doi":"10.1109/tvt.2021.3100333","title":"NOMA for Wireless-Powered Communication Networks With Buffered Sources","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China Stem Cell and Translational Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Southeast University; National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Wireless; Computer network; Decoding methods; High data rate; Optimization problem; Term (time); Electronic engineering; Engineering; Telecommunications; Algorithm","score_opus":0.006491597435752398,"score_gpt":0.19378788424415488,"score_spread":0.1872962868084025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184422670","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":[0.022754908,0.0018967963,0.96877456,0.0003721307,0.00035101105,0.00012149948,0.00011369212,0.00014284797,0.0054725553],"genre_scores_gemma":[0.8912629,0.002649255,0.09640137,0.000559092,0.0003821128,0.0005157505,0.00015199021,0.000045523502,0.008032058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992355,0.00030480346,0.00004608533,0.00014769615,0.00014937828,0.00011651136],"domain_scores_gemma":[0.99868613,0.0007306006,0.00020266784,0.0001339343,0.0001935599,0.000053087988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001277141,0.0012535296,0.0007307171,0.00066590286,0.0012141134,0.0017680294,0.0014953271,0.000908131,0.0023227734],"category_scores_gemma":[0.00337842,0.00043973248,0.00052314403,0.00088569097,0.0011017732,0.0017069434,0.0019029449,0.001464032,0.0004939599],"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":[0.00039774127,0.00013012702,0.0013900748,0.0008119479,0.00018427236,0.0011621801,0.0005502429,0.4476404,0.02039274,0.4396687,0.0063883285,0.081283286],"study_design_scores_gemma":[0.000031145722,0.00014459368,0.00022738018,0.00005615,0.00004404457,0.00018845122,0.00008554091,0.95103,0.0017529606,0.041476812,0.0049277367,0.00003506429],"about_ca_topic_score_codex":0.0015654647,"about_ca_topic_score_gemma":0.0037341514,"teacher_disagreement_score":0.0023227734,"about_ca_system_score_codex":0.0011903606,"about_ca_system_score_gemma":0.001079321,"threshold_uncertainty_score":0.008636713},"labels":[],"label_agreement":null},{"id":"W3185560163","doi":"10.1109/tvt.2021.3099306","title":"Efficient Blockchain-Enabled Large Scale Parked Vehicular Computing With Green Energy Supply","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":32,"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; Carleton University","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; National Natural Science Foundation of China","keywords":"Computer science; Distributed computing; Blockchain; Distributed generation; Efficient energy use; Real-time computing; Renewable energy; Engineering","score_opus":0.004690904364561572,"score_gpt":0.20096821449469587,"score_spread":0.1962773101301343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185560163","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":[0.20517716,0.0004712928,0.7843421,0.0004431112,0.00008295109,0.00012345363,0.0001412831,0.00093201955,0.008286617],"genre_scores_gemma":[0.9767064,0.000072373965,0.021901758,0.000029194327,0.0000062265817,0.000038082027,0.000065418724,0.000018597224,0.0011620413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999688,0.00006368077,0.0000139033145,0.00006174624,0.0000845388,0.000088072346],"domain_scores_gemma":[0.9996245,0.00012231637,0.000038531816,0.000082832885,0.00006946113,0.000062434556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039171285,0.00031348882,0.0005011834,0.00017529922,0.0004873895,0.0006281207,0.00093546556,0.00039148066,0.0018535163],"category_scores_gemma":[0.0008686313,0.00016183534,0.00019243124,0.00039175618,0.0004340151,0.0010669337,0.0013155958,0.000583813,0.00027969],"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":[0.00023332407,0.00008484645,0.0010950087,0.00007182327,0.000020108719,0.00016673328,0.00011348816,0.9073056,0.012059469,0.020444378,0.001624974,0.056780208],"study_design_scores_gemma":[0.000008943937,0.000021687812,0.000053535725,0.0000015318865,0.0000018725619,0.000011296172,0.000011845955,0.99405813,0.0013380396,0.0039885123,0.0005022458,0.0000024054746],"about_ca_topic_score_codex":0.0029309497,"about_ca_topic_score_gemma":0.0053382483,"teacher_disagreement_score":0.0029309497,"about_ca_system_score_codex":0.0004632189,"about_ca_system_score_gemma":0.0012189589,"threshold_uncertainty_score":0.006200671},"labels":[],"label_agreement":null},{"id":"W3186498128","doi":"10.1109/tvt.2021.3097589","title":"A Novel Method for Approximating Object Location Error in Bounding Box Detection Algorithms Using a Monocular Camera","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; McMaster University; Canadian Association of Gastroenterology","funders":"","keywords":"Pixel; Computer vision; Artificial intelligence; Computer science; Range (aeronautics); Minimum bounding box; Monocular vision; Monocular; Algorithm; Image (mathematics); Engineering","score_opus":0.01941502966975609,"score_gpt":0.27264181962028544,"score_spread":0.25322678995052933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186498128","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025222702,0.00014713423,0.9966773,0.000026824891,0.000031027066,0.000017175922,0.000021223434,0.00037159323,0.00018542726],"genre_scores_gemma":[0.108014464,0.00038093032,0.8889408,0.00012057708,0.00010728992,0.00015498609,0.0002402897,0.0002470582,0.0017936301],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99840397,0.00025687105,0.0000946547,0.00040902628,0.00071828056,0.00011727442],"domain_scores_gemma":[0.9976255,0.0007900707,0.00028224904,0.0002952395,0.00090686075,0.00010013237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017361267,0.0014156611,0.0013212935,0.0015224084,0.00044862618,0.0011555293,0.0019419278,0.0012676808,0.0014355698],"category_scores_gemma":[0.007863303,0.000679783,0.00086144183,0.0011572366,0.0007356128,0.0016436465,0.0014300171,0.0016913281,0.000810397],"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":[0.00032650566,0.000087741515,0.0029893615,0.00021076568,0.00013724591,0.0001909175,0.00018217493,0.40837175,0.030423533,0.014094554,0.0042329603,0.53875244],"study_design_scores_gemma":[0.0000059848057,0.000027596478,0.00031183488,0.0000122339225,0.000007818942,0.00008600062,0.0000066389516,0.9928687,0.004296049,0.0012063732,0.0011599117,0.000010886524],"about_ca_topic_score_codex":0.007840184,"about_ca_topic_score_gemma":0.0064122365,"teacher_disagreement_score":0.007840184,"about_ca_system_score_codex":0.0011144016,"about_ca_system_score_gemma":0.0014453222,"threshold_uncertainty_score":0.015589118},"labels":[],"label_agreement":null},{"id":"W3190929627","doi":"10.1109/tvt.2021.3098188","title":"Privacy-Preserving Blockchain-Based Energy Trading Schemes for Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Qatar National Research Fund","keywords":"Computer security; Blockchain; Computer science; Anonymity; Denial-of-service attack; Scheme (mathematics); Sybil attack; Smart grid; Electric vehicle; Computer network; The Internet; Engineering; Power (physics); Wireless sensor network; Electrical engineering","score_opus":0.011928956993961713,"score_gpt":0.23317364773568489,"score_spread":0.22124469074172318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190929627","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":[0.083012216,0.0010273104,0.8933047,0.0014107655,0.00025826102,0.0005470781,0.00069110276,0.001083017,0.018665537],"genre_scores_gemma":[0.9433705,0.0005438967,0.047256995,0.00016145776,0.000056225268,0.0002868948,0.00038531376,0.00004906329,0.0078896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974087,0.0007473027,0.0002175086,0.0004517288,0.0007502898,0.0004246093],"domain_scores_gemma":[0.9957402,0.0014694233,0.00050108286,0.0013448285,0.0006318131,0.00031266367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019772386,0.0006212513,0.0009320434,0.0006236834,0.0016976715,0.0017881027,0.0019282914,0.001551754,0.0057184356],"category_scores_gemma":[0.0060812505,0.00036532697,0.00064599916,0.001608582,0.0014188477,0.0044085663,0.003481298,0.0015764004,0.001188832],"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":[0.0010315548,0.00024831836,0.0017368512,0.00038941557,0.000100368205,0.0009173347,0.0008735523,0.40758792,0.015374423,0.44003466,0.006615145,0.12509046],"study_design_scores_gemma":[0.00017973692,0.00015110357,0.00020662729,0.00005476488,0.000031413692,0.00025528207,0.00008537123,0.735392,0.006732695,0.24026172,0.016599612,0.000049623188],"about_ca_topic_score_codex":0.00253556,"about_ca_topic_score_gemma":0.0026021565,"teacher_disagreement_score":0.0057184356,"about_ca_system_score_codex":0.0015590844,"about_ca_system_score_gemma":0.0026463494,"threshold_uncertainty_score":0.01913011},"labels":[],"label_agreement":null},{"id":"W3191093786","doi":"10.1109/tvt.2021.3103674","title":"Agent-Based Model Predictive Controller (AMPC) for Flexible and Efficient Vehicular Control","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":20,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Modular design; Scalability; Flexibility (engineering); Control engineering; Mechatronics; Actuator; Controller (irrigation); Usability; Engineering; Vehicle dynamics; Computer science; Distributed computing; Scheme (mathematics); Process (computing); Embedded system; Automotive engineering; Artificial intelligence","score_opus":0.0073051090478664146,"score_gpt":0.20094621768953402,"score_spread":0.19364110864166761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191093786","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":[0.0050922567,0.0004421903,0.9880527,0.00010288043,0.00011590336,0.0000622329,0.00003147617,0.0010161423,0.0050842497],"genre_scores_gemma":[0.8696374,0.00070633885,0.123612635,0.00015622807,0.00010681573,0.00029702648,0.00018097782,0.000065618,0.0052368846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996954,0.000048542322,0.000016447259,0.0000603126,0.00014387719,0.00003544742],"domain_scores_gemma":[0.9997739,0.000055833323,0.000029035644,0.000037214977,0.00008784267,0.000016096967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046906882,0.0005245166,0.00049425545,0.00037867218,0.0005034978,0.0009179355,0.001283712,0.00063709373,0.0017697209],"category_scores_gemma":[0.00072194077,0.00025041634,0.00037353914,0.0003676041,0.00045417843,0.00059493625,0.00087285985,0.0013227264,0.0005378182],"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":[0.00008936988,0.00007543145,0.00037353652,0.00018885857,0.000068517955,0.0001879247,0.000101566184,0.82471293,0.01459723,0.03383231,0.003592014,0.12218034],"study_design_scores_gemma":[0.000009618457,0.00004196272,0.000072114766,0.000008427303,0.00000910434,0.000022934104,0.000005863249,0.99224234,0.0015720743,0.0025831733,0.003426786,0.000005620871],"about_ca_topic_score_codex":0.004646744,"about_ca_topic_score_gemma":0.005044792,"teacher_disagreement_score":0.004646744,"about_ca_system_score_codex":0.0004214905,"about_ca_system_score_gemma":0.0011079558,"threshold_uncertainty_score":0.009239376},"labels":[],"label_agreement":null},{"id":"W3191484621","doi":"10.1109/tvt.2021.3100591","title":"LSTM-Based Channel Access Scheme for Vehicles in Cognitive Vehicular Networks With Multi-Agent Settings","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Cognitive radio; Computer network; Channel (broadcasting); Quality of service; Control channel; Network packet; Vehicular ad hoc network; Markov process; Distributed computing; Wireless; Base station; Wireless ad hoc network; Telecommunications","score_opus":0.019741462074132216,"score_gpt":0.2644563411045447,"score_spread":0.24471487903041247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191484621","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":[0.0669573,0.0006505449,0.9267167,0.0005248857,0.00015507478,0.000049845785,0.00009502014,0.0004984629,0.004352236],"genre_scores_gemma":[0.98222244,0.00013342293,0.014952041,0.00011462804,0.000032593274,0.000042701875,0.000047410726,0.000018443392,0.0024363094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994715,0.000108343724,0.000021950258,0.00014688516,0.00008287678,0.00016842909],"domain_scores_gemma":[0.99923456,0.00037416135,0.00009282108,0.000041764546,0.00018759817,0.00006908397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007620964,0.0007316672,0.00083917874,0.00035251272,0.00052370003,0.00089238473,0.0019174143,0.001406359,0.0018903328],"category_scores_gemma":[0.002053511,0.00035984843,0.00047531142,0.0004180721,0.0009476217,0.0013540521,0.0011489416,0.001426957,0.00029571794],"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":[0.00010598044,0.00005278562,0.0006130432,0.000062536994,0.0000346772,0.00016535757,0.00010812783,0.9533354,0.0025885983,0.014866679,0.0009039603,0.027162876],"study_design_scores_gemma":[0.0000032432872,0.000014091812,0.00003229301,0.0000016297746,0.000003473356,0.000007852562,0.000006153427,0.99763536,0.00018800463,0.0020023976,0.00010242615,0.0000029861585],"about_ca_topic_score_codex":0.012865649,"about_ca_topic_score_gemma":0.010043461,"teacher_disagreement_score":0.012865649,"about_ca_system_score_codex":0.0011546616,"about_ca_system_score_gemma":0.0011960497,"threshold_uncertainty_score":0.025581539},"labels":[],"label_agreement":null},{"id":"W3192028045","doi":"10.1109/tvt.2022.3197452","title":"Deep Learning Based Antenna-Time Domain Channel Extrapolation for Hybrid Mmwave Massive MIMO","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Telecommunications link; Precoding; MIMO; Computer science; Extrapolation; Base station; Overhead (engineering); Channel (broadcasting); Channel state information; Encoder; Electronic engineering; Real-time computing; Computer network; Engineering; Telecommunications; Mathematics; Wireless","score_opus":0.0099968016604623,"score_gpt":0.20223524806968807,"score_spread":0.19223844640922577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192028045","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":[0.03567036,0.00031635942,0.9610657,0.00014623757,0.0000361579,0.000015421208,0.00007049662,0.00058362744,0.0020956548],"genre_scores_gemma":[0.9091508,0.00026996701,0.08596154,0.00017240344,0.000033933004,0.00005449384,0.00020422753,0.000053210075,0.0040994855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998728,0.000030267413,0.000004695826,0.000029278663,0.000035752168,0.000027206208],"domain_scores_gemma":[0.9997528,0.00013220795,0.000026425882,0.000023729137,0.00004899622,0.000015837855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003938875,0.0006036231,0.0004343296,0.00015773799,0.00018393638,0.0003409513,0.0007464763,0.0005464497,0.0010180455],"category_scores_gemma":[0.000948296,0.0003375024,0.0003289008,0.00023502957,0.00040316166,0.0007767821,0.0006950075,0.0010054541,0.00027439083],"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":[0.00008782914,0.00004796685,0.0005813265,0.000041850835,0.000030100247,0.00008398949,0.000042981952,0.9385868,0.0055899015,0.0040163854,0.0006982827,0.050192676],"study_design_scores_gemma":[0.0000011636824,0.000008039424,0.00003039703,0.0000015555169,0.0000016295459,0.000005867498,0.0000017133628,0.998889,0.0004196773,0.0005716468,0.00006786826,0.0000015997659],"about_ca_topic_score_codex":0.003694262,"about_ca_topic_score_gemma":0.00582667,"teacher_disagreement_score":0.003694262,"about_ca_system_score_codex":0.00038038174,"about_ca_system_score_gemma":0.00051391684,"threshold_uncertainty_score":0.0073454976},"labels":[],"label_agreement":null},{"id":"W3196353934","doi":"10.1109/tvt.2021.3107808","title":"Distance Estimation in Visible Light Communications: The Case of Imperfect Synchronization and Signal-Dependent Noise","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Transmitter; Visible light communication; Asynchronous communication; Synchronization (alternating current); Computer science; Noise (video); SIGNAL (programming language); Signal-to-noise ratio (imaging); Electronic engineering; Real-time computing; Telecommunications; Engineering; Artificial intelligence; Electrical engineering","score_opus":0.007438282693248744,"score_gpt":0.23257961739022628,"score_spread":0.22514133469697753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196353934","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":[0.06266595,0.0026658233,0.93120164,0.00030727405,0.000074559655,0.000022510376,0.00004928708,0.00011521766,0.0028978111],"genre_scores_gemma":[0.9487652,0.0015060921,0.048030328,0.0000890995,0.00009005216,0.000052314394,0.00007888781,0.000045517296,0.0013425087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952159,0.0012128921,0.0002307643,0.0008075594,0.0020417431,0.0004910946],"domain_scores_gemma":[0.96713793,0.024735596,0.0032101783,0.0020704423,0.0025299,0.0003160073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004047549,0.0010505834,0.0012145257,0.00093878666,0.0006390416,0.0018068332,0.0014760161,0.00192929,0.00049699243],"category_scores_gemma":[0.03581772,0.00042165146,0.00037511715,0.0008925369,0.0020480626,0.0032329499,0.002929381,0.0013179177,0.00021409648],"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":[0.00049058005,0.00004944308,0.0026458108,0.0004650787,0.00009498889,0.00037452005,0.00024588013,0.8759088,0.017551536,0.051063083,0.0005245732,0.050585758],"study_design_scores_gemma":[0.000013893094,0.0001484367,0.0007133104,0.000053184736,0.00002899131,0.00022109834,0.00006932364,0.9781612,0.009992202,0.0099376105,0.0006220497,0.00003872694],"about_ca_topic_score_codex":0.0023804053,"about_ca_topic_score_gemma":0.0012344392,"teacher_disagreement_score":0.004047549,"about_ca_system_score_codex":0.001132427,"about_ca_system_score_gemma":0.0011756965,"threshold_uncertainty_score":0.021405697},"labels":[],"label_agreement":null},{"id":"W3196404113","doi":"10.1109/tvt.2021.3109049","title":"A Lightweight Machine Learning Assisted Power Optimization for Minimum Error in NOMA-CRS Over Nakagami-$m$ Channels","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Noma; Computer science; Bit error rate; Relay; Nakagami distribution; Interference (communication); Fading; Power (physics); Spectral efficiency; Single antenna interference cancellation; Algorithm; Word error rate; Electronic engineering; Channel (broadcasting); Telecommunications; Artificial intelligence; Telecommunications link; Engineering; Decoding methods","score_opus":0.015449862282100556,"score_gpt":0.2506671038019488,"score_spread":0.23521724151984824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196404113","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":[0.0121222865,0.0002689425,0.9855356,0.0001138177,0.000030482199,0.000021691312,0.000021538814,0.0001304032,0.0017551803],"genre_scores_gemma":[0.8297438,0.0004955913,0.16617174,0.00014942039,0.00008140457,0.00010886667,0.00007647209,0.00006415964,0.003108564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993925,0.00023968345,0.00002523038,0.000106979125,0.00016391306,0.00007161562],"domain_scores_gemma":[0.999127,0.0005734182,0.000102947684,0.00006825068,0.00010815362,0.000020293362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078535976,0.000984075,0.0008363449,0.00027431184,0.00031174882,0.0007619631,0.00080617884,0.0006824824,0.0012342863],"category_scores_gemma":[0.0024950397,0.00030490066,0.00041320935,0.0005481374,0.0006658991,0.0006922223,0.000885699,0.0008795341,0.00028708717],"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":[0.00007620266,0.00004144794,0.00040518993,0.00009555376,0.000040115334,0.00010265873,0.00005121702,0.93145096,0.004477535,0.016873047,0.0009416762,0.045444388],"study_design_scores_gemma":[0.0000035494368,0.000027306676,0.000043080094,0.0000032812402,0.0000037580628,0.000019719535,0.0000034104664,0.9974548,0.0005543949,0.0017212124,0.00016258738,0.0000029049504],"about_ca_topic_score_codex":0.0013868595,"about_ca_topic_score_gemma":0.001621377,"teacher_disagreement_score":0.0013868595,"about_ca_system_score_codex":0.00046125596,"about_ca_system_score_gemma":0.00084977056,"threshold_uncertainty_score":0.00415349},"labels":[],"label_agreement":null},{"id":"W3196752116","doi":"10.1109/tvt.2021.3110085","title":"Throughput-Optimal Dynamic Broadcast for SINR-Based Multi-Hop Wireless Networks With Time-Varying Topology","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Wireless network; Wireless ad hoc network; Signal-to-interference-plus-noise ratio; Scheduling (production processes); Network topology; Wireless; Broadcast radiation; Distributed computing; Wireless sensor network; Network packet; Telecommunications; Mathematical optimization; Mathematics","score_opus":0.009684001774675904,"score_gpt":0.2403280891886022,"score_spread":0.2306440874139263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196752116","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":[0.030555569,0.00097122055,0.9632258,0.0002755686,0.000058252455,0.00007515973,0.000111040965,0.0003868056,0.0043406975],"genre_scores_gemma":[0.9015025,0.001514216,0.09458519,0.00013904936,0.00008952975,0.00017566595,0.00023627482,0.00011576402,0.0016417898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987797,0.00033540747,0.000044910714,0.00020270189,0.00042638107,0.00021087957],"domain_scores_gemma":[0.99700385,0.0021732785,0.00029990298,0.00015223904,0.00027849857,0.000092291164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016131173,0.00082607777,0.0011763832,0.0010085213,0.00089122314,0.0011466868,0.0013034864,0.0007458282,0.00094518176],"category_scores_gemma":[0.007218367,0.0005164177,0.00047629335,0.0015432069,0.0014218437,0.0013302864,0.00097492296,0.0009247106,0.00025684206],"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":[0.00015384774,0.00006527763,0.00038206214,0.00019227412,0.00002599533,0.00012666702,0.0001310263,0.94195074,0.0062791468,0.022910854,0.0014712506,0.026310788],"study_design_scores_gemma":[0.00001202513,0.0000454648,0.00008765727,0.000006657991,0.000009137642,0.00003580805,0.0000277542,0.9908235,0.0009356021,0.007649906,0.0003615326,0.0000050794656],"about_ca_topic_score_codex":0.0042797914,"about_ca_topic_score_gemma":0.0041946364,"teacher_disagreement_score":0.0042797914,"about_ca_system_score_codex":0.002340403,"about_ca_system_score_gemma":0.0017725965,"threshold_uncertainty_score":0.016980886},"labels":[],"label_agreement":null},{"id":"W3197054949","doi":"10.1109/tvt.2021.3109868","title":"Repair Delay Analysis of Mobile Storage Systems Using Erasure Codes and Relay Cooperation","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","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":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Erasure; Relay; Erasure code; Computer science; Data loss; Reliability (semiconductor); Computer network; Base station; Path loss; Mobile device; Decoding methods; Real-time computing; Reliability engineering; Engineering; Telecommunications; Wireless","score_opus":0.012573366535521885,"score_gpt":0.2327537328803898,"score_spread":0.22018036634486793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197054949","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":[0.30265304,0.004612043,0.6833117,0.00066353276,0.00011041238,0.00010651024,0.00026680343,0.00033747833,0.00793846],"genre_scores_gemma":[0.9886192,0.00088387757,0.008246553,0.000033981963,0.000024763913,0.000036923677,0.000055264216,0.000035091478,0.0020644746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993673,0.0001413606,0.00003226604,0.00010706613,0.00016195097,0.00019010395],"domain_scores_gemma":[0.9941401,0.0038363715,0.00072347873,0.00018133671,0.00093755114,0.00018109856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013445241,0.0009610686,0.00069451984,0.0012533284,0.0005626032,0.00097450835,0.0010297471,0.00079629273,0.0020794808],"category_scores_gemma":[0.006144274,0.00041947074,0.00061223883,0.0010316063,0.0010415884,0.0012833623,0.00082733267,0.00083736924,0.00026418042],"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":[0.00015728596,0.000020261206,0.000775623,0.00012299824,0.000027926888,0.00014430906,0.00013145644,0.9693159,0.0042241216,0.019206578,0.00053365063,0.0053399275],"study_design_scores_gemma":[0.0000040343725,0.00003464263,0.00016584134,0.000006851608,0.000010958176,0.000037163565,0.00004248051,0.9966509,0.00074476056,0.0021216772,0.00017307808,0.00000767553],"about_ca_topic_score_codex":0.010623624,"about_ca_topic_score_gemma":0.0036614516,"teacher_disagreement_score":0.010623624,"about_ca_system_score_codex":0.003241699,"about_ca_system_score_gemma":0.0015276333,"threshold_uncertainty_score":0.02352029},"labels":[],"label_agreement":null},{"id":"W3197248161","doi":"10.1109/tvt.2021.3107734","title":"Distributed Deep Reinforcement Learning-Based Energy and Emission Management Strategy for Hybrid Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":162,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Adaptability; Benchmark (surveying); Asynchronous communication; Energy management; Distributed computing; Key (lock); Distributed generation; Efficient energy use; Energy (signal processing); Artificial intelligence; Engineering; Computer network; Electrical engineering","score_opus":0.004562939050793364,"score_gpt":0.19409586736611872,"score_spread":0.18953292831532537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197248161","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":[0.033452142,0.00032276707,0.961271,0.000299969,0.000058307356,0.000032446773,0.000025942025,0.00021474014,0.004322842],"genre_scores_gemma":[0.9731794,0.00013017932,0.024001736,0.00008742553,0.000018225814,0.00005135106,0.000035037756,0.00001799569,0.002478674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998375,0.000033710014,0.000007402361,0.000049170954,0.000037777154,0.00003439695],"domain_scores_gemma":[0.9997998,0.000073089235,0.00003068651,0.000012998072,0.00006228569,0.000021174064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047692758,0.00051272317,0.0004972796,0.00020786923,0.00032070527,0.0004909428,0.0008198281,0.000473759,0.0013076433],"category_scores_gemma":[0.0007716428,0.00022915816,0.00033576056,0.00021200014,0.00044268748,0.00064142863,0.00066221284,0.000707351,0.00013350832],"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":[0.00003717785,0.000037228157,0.00045214623,0.00002633269,0.000017662771,0.000026797054,0.000020048028,0.96284443,0.0013556809,0.005064875,0.0005637428,0.029553818],"study_design_scores_gemma":[0.000004705659,0.00001081353,0.000043528347,0.000001197994,0.0000025402396,0.0000029144437,0.0000025707247,0.9983639,0.00018542461,0.0012298303,0.00015109412,0.0000014214258],"about_ca_topic_score_codex":0.0066554407,"about_ca_topic_score_gemma":0.005560267,"teacher_disagreement_score":0.0066554407,"about_ca_system_score_codex":0.00083632575,"about_ca_system_score_gemma":0.0009496625,"threshold_uncertainty_score":0.013233423},"labels":[],"label_agreement":null},{"id":"W3198312531","doi":"10.1109/tvt.2021.3109907","title":"On the Energy Efficiency of OFDMA Cellular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Subcarrier; Unavailability; Channel state information; Telecommunications link; Base station; Computer science; Transmitter power output; Orthogonal frequency-division multiple access; Mathematical optimization; Power control; Frequency-division multiple access; Power budget; Fractional programming; Cellular network; Robustness (evolution); Spectral efficiency; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Computer network; Power (physics); Wireless; Mathematics; Channel (broadcasting); Telecommunications; Engineering; Reliability engineering; Nonlinear programming; Transmitter","score_opus":0.0047899700959470135,"score_gpt":0.18069432339127614,"score_spread":0.17590435329532914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198312531","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":[0.152421,0.008066813,0.7945853,0.0014951221,0.00013105405,0.000042362477,0.00011667621,0.000099482306,0.043042112],"genre_scores_gemma":[0.97301203,0.0042783953,0.018338887,0.0001457284,0.000105057174,0.000035693658,0.000042826832,0.000045672827,0.003995642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994635,0.0002443177,0.00001347551,0.0000558555,0.00014595373,0.000076864846],"domain_scores_gemma":[0.998747,0.0009900809,0.0000821473,0.00006100316,0.00010467834,0.000015081784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077655155,0.00052739796,0.0005232293,0.00032608368,0.00027406297,0.0009051093,0.00041714872,0.0005706417,0.0012965519],"category_scores_gemma":[0.003821963,0.00012590218,0.00021892399,0.0008062,0.0007011807,0.0010813896,0.00047544605,0.0005210372,0.000247334],"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":[0.00007104611,0.00003398241,0.0008989793,0.00010620867,0.00003758201,0.00013985972,0.000059951326,0.8693039,0.005654801,0.08979543,0.00060262077,0.033295516],"study_design_scores_gemma":[0.000004917625,0.000054309356,0.0006801981,0.00002708349,0.000015918873,0.000079895755,0.00003483537,0.97120696,0.0028658172,0.023079704,0.0019422182,0.000008087977],"about_ca_topic_score_codex":0.0012061542,"about_ca_topic_score_gemma":0.00068024825,"teacher_disagreement_score":0.0012965519,"about_ca_system_score_codex":0.0007609283,"about_ca_system_score_gemma":0.00027336803,"threshold_uncertainty_score":0.00552094},"labels":[],"label_agreement":null},{"id":"W3199874112","doi":"10.1109/tvt.2021.3112121","title":"UAV-Aided Covert Communication With a Multi-Antenna Jammer","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":59,"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 Windsor","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; National Natural Science Foundation of China","keywords":"Transmitter; Transmitter power output; Transmission (telecommunications); Computer science; Covert; Jamming; Antenna (radio); Computer network; Electronic engineering; Wireless; Real-time computing; Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.007870369075462853,"score_gpt":0.20197086381216797,"score_spread":0.19410049473670513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199874112","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":[0.16586031,0.0007110208,0.82678765,0.00025422536,0.00007689834,0.0000490902,0.000044719814,0.00028342177,0.0059326626],"genre_scores_gemma":[0.9762912,0.00018506739,0.02242615,0.000048194866,0.00002010115,0.000025482697,0.000022121876,0.000006909678,0.00097467366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944204,0.00013424433,0.000019547706,0.00010437347,0.00017273548,0.00012707998],"domain_scores_gemma":[0.99935347,0.00023774792,0.00015527134,0.00010698902,0.00010783308,0.00003880055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029906552,0.0007138444,0.00066076696,0.0004919553,0.00054382306,0.00049519405,0.000623599,0.0006861682,0.00054567546],"category_scores_gemma":[0.0011741885,0.00018293872,0.00040800616,0.0005427519,0.0005496523,0.00082354114,0.0010101493,0.00039498167,0.00020559847],"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":[0.0006305484,0.0001234505,0.0036563028,0.00029022727,0.00019479901,0.0017778592,0.00046789073,0.7412101,0.12098895,0.022043327,0.0019912636,0.10662537],"study_design_scores_gemma":[0.000015995749,0.00020593798,0.00060104654,0.000009452426,0.000030050463,0.0005788952,0.000048000955,0.9828319,0.012698408,0.0020281589,0.0009336794,0.00001851366],"about_ca_topic_score_codex":0.00075169664,"about_ca_topic_score_gemma":0.00079747883,"teacher_disagreement_score":0.00075169664,"about_ca_system_score_codex":0.00037605685,"about_ca_system_score_gemma":0.00034572618,"threshold_uncertainty_score":0.0027285218},"labels":[],"label_agreement":null},{"id":"W3200339141","doi":"10.1109/tvt.2021.3113807","title":"DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":104,"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","keywords":"Anomaly detection; Computer science; Benchmark (surveying); Anomaly (physics); Artificial neural network; Thresholding; Vehicular ad hoc network; Deep learning; Broadcasting (networking); Computer network; Real-time computing; Wireless ad hoc network; Data mining; Artificial intelligence; Machine learning; Wireless; Telecommunications","score_opus":0.007072624961343773,"score_gpt":0.21667915230164012,"score_spread":0.20960652734029633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200339141","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":[0.040956587,0.0012117468,0.94697857,0.00052830804,0.00018773344,0.000075639364,0.00075885927,0.0065542567,0.0027483215],"genre_scores_gemma":[0.74101895,0.00090155884,0.24845636,0.00037954943,0.000096668635,0.00013992503,0.0026386285,0.0002789879,0.00608942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970263,0.000062377956,0.000017915507,0.000073236675,0.0000796394,0.000064205946],"domain_scores_gemma":[0.99970645,0.000107123415,0.00003217397,0.00003221137,0.00009613375,0.00002583563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006518846,0.00087337056,0.0006344513,0.0007240705,0.00032745034,0.0007628011,0.0018473775,0.0009847615,0.0012843973],"category_scores_gemma":[0.0014288069,0.00046343598,0.0005512512,0.0006765346,0.0004792858,0.0014096784,0.0011254154,0.0019122824,0.00034721423],"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":[0.00016113262,0.00009980622,0.002030837,0.00007499982,0.000103056635,0.0001235032,0.00004237268,0.83734304,0.0030974597,0.007212426,0.005512222,0.1441992],"study_design_scores_gemma":[0.0000029903972,0.000014648407,0.00007993462,0.000003014616,0.0000031274665,0.000010173971,0.0000041168423,0.9969567,0.00055418996,0.0019309272,0.00043697737,0.0000031314776],"about_ca_topic_score_codex":0.021038143,"about_ca_topic_score_gemma":0.022219807,"teacher_disagreement_score":0.021038143,"about_ca_system_score_codex":0.0010638594,"about_ca_system_score_gemma":0.0010550945,"threshold_uncertainty_score":0.041831374},"labels":[],"label_agreement":null},{"id":"W3201866716","doi":"10.1109/tvt.2021.3117696","title":"A Trust-Driven Contract Incentive Scheme for Mobile Crowd-Sensing Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Incentive; Computer science; Mobile device; Quality of service; Contract theory; Computer network; Mobile computing; Computer security; World Wide Web","score_opus":0.009046250013622135,"score_gpt":0.23593687992056012,"score_spread":0.22689062990693798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201866716","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":[0.026019804,0.00035006925,0.967879,0.00065573043,0.000119424105,0.00024909875,0.0001314718,0.00019000183,0.0044054715],"genre_scores_gemma":[0.88926584,0.0003641572,0.10534818,0.00017616765,0.00008017704,0.00035393535,0.000111781046,0.000032624714,0.004267283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959608,0.0015882131,0.00026972327,0.00072954444,0.0009797182,0.00047198482],"domain_scores_gemma":[0.995713,0.001817625,0.00066192116,0.00046199874,0.0007486714,0.0005967768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004460858,0.0010490083,0.0013223353,0.0008833606,0.0017228846,0.0016194469,0.0029097619,0.0020646644,0.0023841066],"category_scores_gemma":[0.011206675,0.00050934753,0.0009653636,0.0012498742,0.0016389941,0.0034925465,0.0031976432,0.0018364448,0.00038745155],"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":[0.0006615893,0.00027591948,0.0023125752,0.00035170288,0.00012395505,0.00096027285,0.0013155587,0.55475646,0.01132042,0.32112405,0.0072662,0.09953132],"study_design_scores_gemma":[0.00004394809,0.000098975,0.00017712533,0.00002387332,0.00001847125,0.0001631741,0.000075507836,0.95706916,0.0008697279,0.038312174,0.0031106838,0.000037189715],"about_ca_topic_score_codex":0.004340354,"about_ca_topic_score_gemma":0.0029694652,"teacher_disagreement_score":0.004460858,"about_ca_system_score_codex":0.002658273,"about_ca_system_score_gemma":0.0034050583,"threshold_uncertainty_score":0.023591518},"labels":[],"label_agreement":null},{"id":"W3202685228","doi":"10.1109/tvt.2021.3117536","title":"Age-Optimal Information Gathering in Linear Underwater Networks: A Deep Reinforcement Learning Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Leverage (statistics); Robustness (evolution); Computer science; Reinforcement learning; Scheduling (production processes); Underwater; Linear programming; Cluster analysis; Real-time computing; Artificial intelligence; Mathematical optimization; Algorithm; Mathematics","score_opus":0.007968541285158708,"score_gpt":0.2068045061829934,"score_spread":0.1988359648978347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202685228","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":[0.05037809,0.0006733675,0.9442298,0.0008460195,0.00006965879,0.000059984206,0.00007255632,0.0003819698,0.0032885268],"genre_scores_gemma":[0.9383416,0.00027002502,0.057080057,0.00030189817,0.000073820665,0.00012294711,0.000113910784,0.00006807082,0.0036276234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995203,0.0001552635,0.000023387645,0.00012326428,0.000076998054,0.000100818404],"domain_scores_gemma":[0.99795353,0.0012575637,0.0002684384,0.000074893804,0.0003165941,0.00012903445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016573044,0.0011504896,0.0014524879,0.00058647577,0.00042853184,0.0008822045,0.0017987586,0.0015771007,0.0015145887],"category_scores_gemma":[0.004280157,0.00068951293,0.00048131536,0.0004975847,0.0011976999,0.0013438188,0.0012424439,0.0018236447,0.00021694021],"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":[0.000027509428,0.000026560776,0.00047645834,0.00002329464,0.000017549808,0.000030213314,0.000025873444,0.9885388,0.00023555288,0.002441843,0.00030061777,0.00785566],"study_design_scores_gemma":[0.0000027659735,0.0000063400284,0.00002164896,0.0000016073349,0.0000019477282,0.0000016522872,0.000002094641,0.9991228,0.000036880312,0.00075720495,0.00004371821,0.0000011919277],"about_ca_topic_score_codex":0.0144246435,"about_ca_topic_score_gemma":0.009774581,"teacher_disagreement_score":0.0144246435,"about_ca_system_score_codex":0.00184109,"about_ca_system_score_gemma":0.0016819839,"threshold_uncertainty_score":0.028681397},"labels":[],"label_agreement":null},{"id":"W3203478405","doi":"10.1109/tvt.2021.3115128","title":"On the Application of Cooperative NOMA to Spatially Random Wireless Caching Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Noma; Computer science; Cache; Diversity gain; Server; Computer network; Base station; Wireless; Wireless network; Channel (broadcasting); Distributed computing; Telecommunications link; MIMO; Telecommunications","score_opus":0.007364080076376038,"score_gpt":0.22331599026039967,"score_spread":0.21595191018402363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203478405","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":[0.033385973,0.003930021,0.9521003,0.0007044147,0.00013232892,0.0000608082,0.000048786027,0.00016165615,0.009475705],"genre_scores_gemma":[0.93970305,0.006009761,0.05072001,0.000333803,0.00027861123,0.00013912353,0.00003860293,0.000047384572,0.0027295768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812204,0.0009938712,0.00006461873,0.00021277188,0.0004234312,0.0001832701],"domain_scores_gemma":[0.99196166,0.006102643,0.00052989007,0.000528665,0.0007648686,0.00011234834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023592352,0.001312272,0.0010941322,0.0011746404,0.0010701285,0.0014605729,0.0014066718,0.0010905873,0.0009438072],"category_scores_gemma":[0.012298416,0.0005783323,0.0009038235,0.0017578286,0.00187153,0.0022648736,0.0016772483,0.0010918509,0.00023240391],"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":[0.000057072764,0.000036741465,0.0011721438,0.00018440999,0.000064785316,0.0004571682,0.00017544629,0.82153535,0.003116277,0.15428196,0.0009884383,0.017930169],"study_design_scores_gemma":[0.0000045002344,0.000052655563,0.00017183472,0.00002240129,0.00002104302,0.00013538146,0.00004422771,0.9762393,0.0004695673,0.021890104,0.00093315216,0.000015753012],"about_ca_topic_score_codex":0.0039905002,"about_ca_topic_score_gemma":0.00419478,"teacher_disagreement_score":0.0039905002,"about_ca_system_score_codex":0.0018042567,"about_ca_system_score_gemma":0.0010145395,"threshold_uncertainty_score":0.0130909085},"labels":[],"label_agreement":null},{"id":"W3204052306","doi":"10.1109/tvt.2021.3116262","title":"Protocols Design and Area Division for Privacy-Preserving Delay-Aware Authentication in Vehicular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Authentication (law); Computer network; Scalability; Vulnerability (computing); Data Authentication Algorithm; Scheme (mathematics); Lightweight Extensible Authentication Protocol; Vehicular ad hoc network; Computer security; Authentication protocol; Wireless ad hoc network; Wireless; Telecommunications","score_opus":0.031021028614656887,"score_gpt":0.27798642571585364,"score_spread":0.24696539710119675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204052306","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":[0.0067480956,0.00062114897,0.9892966,0.00015778696,0.00009597362,0.0001712033,0.000031262192,0.000356885,0.0025210476],"genre_scores_gemma":[0.54895216,0.0013850143,0.44177458,0.0002421822,0.00012341248,0.000711214,0.00017831835,0.000089549336,0.0065436084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997752,0.00062006933,0.00025933376,0.00045041367,0.00068504043,0.00023323693],"domain_scores_gemma":[0.99837935,0.00030688813,0.0002286481,0.0004039327,0.00061025354,0.00007096969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016223575,0.00060587993,0.0005543063,0.0010296548,0.0011285375,0.0019204132,0.002079464,0.00079612015,0.0014457633],"category_scores_gemma":[0.0028174396,0.00043780365,0.00055993395,0.0011380602,0.0009299487,0.0028525994,0.0019464087,0.0010874319,0.0006638824],"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":[0.00038467106,0.00010306418,0.001141012,0.0004271582,0.0001087896,0.00044014477,0.0007894654,0.16042502,0.05451187,0.5721237,0.004986079,0.20455892],"study_design_scores_gemma":[0.00009364446,0.00037629463,0.00030996752,0.00006977273,0.00014346148,0.000690567,0.00028207057,0.79168814,0.046979062,0.0933139,0.06595601,0.00009719206],"about_ca_topic_score_codex":0.0014883903,"about_ca_topic_score_gemma":0.0013616002,"teacher_disagreement_score":0.002079464,"about_ca_system_score_codex":0.0014251039,"about_ca_system_score_gemma":0.0020127515,"threshold_uncertainty_score":0.010339916},"labels":[],"label_agreement":null},{"id":"W3205407875","doi":"10.1109/tvt.2022.3164902","title":"An Ultra-Reliable Low-Latency Non-Binary Polar Coded SCMA Scheme","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Decoding methods; Computer science; Bit error rate; Latency (audio); Polar code; Message passing; Algorithm; Binary number; Transmission (telecommunications); Computer engineering; Real-time computing; Theoretical computer science; Parallel computing; Arithmetic; Telecommunications; Mathematics","score_opus":0.0068508805479480135,"score_gpt":0.22228698748191156,"score_spread":0.21543610693396353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205407875","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":[0.026571395,0.00039734048,0.9670397,0.0002905021,0.00007264568,0.000056669393,0.00005176752,0.00032426152,0.0051957224],"genre_scores_gemma":[0.78597,0.000693401,0.20612173,0.00032280065,0.000075834716,0.00010597693,0.00011562961,0.000029199522,0.006565436],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994949,0.00012157685,0.000023573784,0.00007657809,0.00022658485,0.000056685716],"domain_scores_gemma":[0.9994388,0.00015629012,0.00008105843,0.00009059139,0.00019693396,0.000036375695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034924145,0.0005191653,0.00038842458,0.0004184483,0.0005014192,0.0006390172,0.0008286798,0.00046275128,0.0014199709],"category_scores_gemma":[0.0010914515,0.00022178318,0.00027963027,0.0006271973,0.00055700634,0.00087547395,0.00085583417,0.0007072425,0.00044549903],"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":[0.0005785007,0.00015850042,0.0013319234,0.00045638825,0.00008242812,0.0007729764,0.0005723095,0.2747847,0.26070416,0.1764385,0.005540371,0.2785793],"study_design_scores_gemma":[0.00004330715,0.00017271923,0.00015705341,0.000017252374,0.000024540215,0.0002913621,0.00003142842,0.96684766,0.019446481,0.0083364,0.0045998655,0.00003191762],"about_ca_topic_score_codex":0.0015063665,"about_ca_topic_score_gemma":0.0018424331,"teacher_disagreement_score":0.0015063665,"about_ca_system_score_codex":0.00045358334,"about_ca_system_score_gemma":0.0010701459,"threshold_uncertainty_score":0.004750252},"labels":[],"label_agreement":null},{"id":"W3206335241","doi":"10.1109/tvt.2021.3120214","title":"Robustness Improvement of Using Pre-Trained Network in Visual Odometry for On-Road Driving","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Robustness (evolution); Visual odometry; Artificial intelligence; Computer science; Artificial neural network; Odometry; Machine learning; Computer vision; Robot; Mobile robot","score_opus":0.010102561449553358,"score_gpt":0.24694240937245823,"score_spread":0.23683984792290488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206335241","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":[0.15428935,0.00063318264,0.83958685,0.00017765627,0.00013922939,0.000053592146,0.00015790696,0.001768406,0.003193761],"genre_scores_gemma":[0.9450792,0.00016510363,0.05249472,0.00009195871,0.000029522229,0.000030658503,0.00036379014,0.00007734165,0.0016677356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995976,0.00005329905,0.000021694288,0.00015281528,0.000091667076,0.00008292843],"domain_scores_gemma":[0.9995969,0.00010506299,0.000044171262,0.00007176175,0.0001571955,0.000024857074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067242683,0.0011863614,0.0005421891,0.0004821056,0.0003469829,0.0004661897,0.0011502934,0.00075110124,0.000936546],"category_scores_gemma":[0.0023129948,0.000389519,0.0005306729,0.000290524,0.0003664603,0.00094866246,0.00095802435,0.0008741977,0.00027422686],"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":[0.00025028232,0.00013945595,0.003997836,0.00008669238,0.00011230892,0.00008232807,0.00006417504,0.6843436,0.023853535,0.0014162201,0.0012927208,0.28436098],"study_design_scores_gemma":[0.000003911771,0.00003317659,0.0007965652,0.000004642499,0.000011112534,0.000014002418,0.0000068871095,0.99434316,0.0041874386,0.00033402094,0.00025911973,0.000005933397],"about_ca_topic_score_codex":0.015317462,"about_ca_topic_score_gemma":0.016275248,"teacher_disagreement_score":0.015317462,"about_ca_system_score_codex":0.0006262673,"about_ca_system_score_gemma":0.00089527003,"threshold_uncertainty_score":0.030456603},"labels":[],"label_agreement":null},{"id":"W3207745675","doi":"10.1109/tvt.2021.3118446","title":"Semi-Distributed Resource Management in UAV-Aided MEC Systems: A Multi-Agent Federated Reinforcement Learning Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":149,"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":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences; National Key Research and Development Program of China Stem Cell and Translational Research; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Distributed computing; Benchmark (surveying); Edge computing; Distributed algorithm; Enhanced Data Rates for GSM Evolution; Resource management (computing); Resource allocation; Computation; Artificial intelligence; Computer network; Algorithm","score_opus":0.010146602066025948,"score_gpt":0.2073494913093683,"score_spread":0.19720288924334237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207745675","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":[0.025932206,0.00031119018,0.97110254,0.0002781858,0.00004030237,0.0000316852,0.00002195911,0.000170794,0.0021111455],"genre_scores_gemma":[0.96521896,0.000106024825,0.0330022,0.00011401226,0.000025723448,0.000049355192,0.000025269082,0.000016491542,0.0014418075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952245,0.00016656902,0.000018054006,0.00010342721,0.0000993409,0.000090031885],"domain_scores_gemma":[0.99906296,0.00047650462,0.00015601947,0.000069033515,0.00016626711,0.000069215464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010116763,0.00064904155,0.000987909,0.00023937305,0.0003928742,0.000725717,0.0010674899,0.00080935436,0.0009941221],"category_scores_gemma":[0.0017639098,0.0002725259,0.0003491835,0.00027246072,0.0007540258,0.00066064764,0.000933048,0.00088500296,0.00013799107],"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":[0.000040222698,0.000028891005,0.00030430054,0.000024593131,0.000021807597,0.00006410612,0.000029217044,0.9809964,0.00090129813,0.004093035,0.00037719376,0.0131190205],"study_design_scores_gemma":[0.000004751573,0.000011160583,0.00002780653,0.0000013021497,0.000002017559,0.000005651994,0.0000032397138,0.9988073,0.000099794444,0.000951118,0.00008443622,0.0000014507548],"about_ca_topic_score_codex":0.004717863,"about_ca_topic_score_gemma":0.003500011,"teacher_disagreement_score":0.004717863,"about_ca_system_score_codex":0.00066550344,"about_ca_system_score_gemma":0.00095422013,"threshold_uncertainty_score":0.009380817},"labels":[],"label_agreement":null},{"id":"W3209481679","doi":"10.1109/tvt.2021.3124312","title":"Performance Tradeoff of MVNOs in OFDMA-Based Virtualized Wireless Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"McGill University","funders":"Royal Academy of Engineering","keywords":"Orthogonal frequency-division multiple access; Computer science; Mathematical optimization; Base station; Optimization problem; Wireless network; Bandwidth (computing); Cellular network; Wireless; Computer network; Algorithm; Orthogonal frequency-division multiplexing; Telecommunications; Mathematics; Channel (broadcasting)","score_opus":0.00590782982744915,"score_gpt":0.19907751638448337,"score_spread":0.19316968655703423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209481679","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":[0.29341796,0.0014153643,0.695278,0.0004453788,0.000101664176,0.00006157177,0.000065816224,0.00014648077,0.009067818],"genre_scores_gemma":[0.9861616,0.00021540279,0.0130061945,0.000033807224,0.00001301581,0.00002094551,0.000014888242,0.000011094569,0.0005229954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987846,0.0005636245,0.000025620784,0.00013661818,0.00020837867,0.00028116757],"domain_scores_gemma":[0.9979913,0.0013084267,0.00022206173,0.000091973896,0.00025593175,0.00013021473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016445818,0.0008888142,0.0006635177,0.00042588517,0.0005853212,0.0016720662,0.000936795,0.0007355329,0.0010275122],"category_scores_gemma":[0.0038297083,0.00027068605,0.00027284256,0.0006080412,0.001020986,0.0019442359,0.0012593409,0.0006207763,0.000112138354],"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":[0.0001304532,0.00003836045,0.00054912193,0.000040562718,0.00002505258,0.00012562887,0.000041395422,0.96726483,0.0027571486,0.015959723,0.00034589382,0.012721834],"study_design_scores_gemma":[0.0000036822553,0.00005476343,0.000095910094,0.000003648342,0.0000068546233,0.00003959111,0.000033430206,0.9961021,0.0004587847,0.0030174241,0.00017922005,0.000004572273],"about_ca_topic_score_codex":0.0018787741,"about_ca_topic_score_gemma":0.0018704117,"teacher_disagreement_score":0.0018787741,"about_ca_system_score_codex":0.0014649873,"about_ca_system_score_gemma":0.0008373265,"threshold_uncertainty_score":0.010629296},"labels":[],"label_agreement":null},{"id":"W3209562871","doi":"10.1109/tvt.2021.3121985","title":"Driving Tasks Transfer Using Deep Reinforcement Learning for Decision-Making of Autonomous Vehicles in Unsignalized Intersection","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":105,"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 Waterloo","funders":"","keywords":"Intersection (aeronautics); Reinforcement learning; Task (project management); Transfer of learning; Computer science; Engineering; Artificial intelligence; Transport engineering; Systems engineering","score_opus":0.009138235964359212,"score_gpt":0.23880260395101477,"score_spread":0.22966436798665557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209562871","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":[0.14789186,0.0003475464,0.84660554,0.00033206766,0.0000854858,0.00007882392,0.000039644718,0.0007269974,0.0038920047],"genre_scores_gemma":[0.98792714,0.00004220126,0.011246396,0.000044183078,0.000009191729,0.000038387363,0.0000214623,0.000011001163,0.0006599456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997011,0.00007448983,0.0000142123745,0.00007389822,0.000062372805,0.000073989264],"domain_scores_gemma":[0.9994462,0.00024982018,0.00008550371,0.000045993525,0.00011523756,0.000057228186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008194041,0.000669861,0.0005605371,0.000199511,0.00027720278,0.00055090373,0.0008976943,0.0006803631,0.0011560466],"category_scores_gemma":[0.001835011,0.00026293783,0.00035905975,0.00015324308,0.0006732611,0.0006231816,0.0009203039,0.0011819415,0.00015345408],"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":[0.00008718476,0.00010485284,0.00085639267,0.0000322945,0.000029497529,0.00006270694,0.00005292069,0.9634603,0.0026307176,0.0021814979,0.00035593894,0.030145649],"study_design_scores_gemma":[0.000004772973,0.000021940628,0.000058052967,0.0000013333636,0.000002656309,0.0000026379157,0.0000026474522,0.9988568,0.0002950229,0.00069971546,0.000052642314,0.0000017792266],"about_ca_topic_score_codex":0.0059202607,"about_ca_topic_score_gemma":0.004008513,"teacher_disagreement_score":0.0059202607,"about_ca_system_score_codex":0.0007198886,"about_ca_system_score_gemma":0.0011503401,"threshold_uncertainty_score":0.011771619},"labels":[],"label_agreement":null},{"id":"W3212518198","doi":"10.1109/tvt.2021.3128513","title":"Energy-Efficient Deep Reinforcement Learning Assisted Resource Allocation for 5G-RAN Slicing","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":81,"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":"Reinforcement learning; Computer science; Resource allocation; Radio access network; Distributed computing; Resource management (computing); Asynchronous communication; Base station; Efficient energy use; Computer network; Artificial intelligence; Engineering","score_opus":0.012055482882716474,"score_gpt":0.22486007074091774,"score_spread":0.21280458785820128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212518198","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":[0.03128698,0.000394028,0.96458757,0.00028468712,0.000050758197,0.000032090007,0.000036647765,0.0005286282,0.002798537],"genre_scores_gemma":[0.9439687,0.00011939858,0.05338565,0.00018870685,0.00002722708,0.00006146176,0.00007198421,0.000048286864,0.0021286663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967444,0.00008006345,0.000014849509,0.000078943005,0.00007126997,0.00008043969],"domain_scores_gemma":[0.99938285,0.0003269486,0.00008261558,0.00003947088,0.00011269306,0.00005542566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007734715,0.0007444889,0.00088855345,0.00019488578,0.00023714207,0.0005468618,0.000946957,0.0007327334,0.001513666],"category_scores_gemma":[0.0017899888,0.0003260843,0.00034436843,0.00020984089,0.00061788666,0.0006460031,0.0008658139,0.0011596108,0.00021230316],"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":[0.00006257731,0.000046975543,0.0005776666,0.000033201803,0.000026018772,0.000054724962,0.00002803166,0.96555024,0.00177923,0.003472374,0.00080959394,0.027559463],"study_design_scores_gemma":[0.0000031158177,0.0000071120858,0.000025146095,0.0000012979002,0.0000017468138,0.0000027548333,0.0000013186886,0.9991755,0.00013826147,0.0005799233,0.00006270702,0.0000010832557],"about_ca_topic_score_codex":0.0052228603,"about_ca_topic_score_gemma":0.005682697,"teacher_disagreement_score":0.0052228603,"about_ca_system_score_codex":0.0007616719,"about_ca_system_score_gemma":0.0012357791,"threshold_uncertainty_score":0.010384917},"labels":[],"label_agreement":null},{"id":"W3214130165","doi":"10.1109/tvt.2021.3124928","title":"Robust Beamforming for Enhancing User Fairness in Multibeam Satellite Systems With NOMA","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":34,"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","funders":"","keywords":"Telecommunications link; Mathematical optimization; Computer science; Beamforming; Channel (broadcasting); Optimization problem; Convex optimization; Transmission (telecommunications); Spectral efficiency; Quality of service; Algorithm; Mathematics; Regular polygon; Computer network; Telecommunications","score_opus":0.019023091106334388,"score_gpt":0.2171596426561495,"score_spread":0.19813655154981513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214130165","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013220649,0.00024050634,0.9845769,0.000079573765,0.00004009059,0.000021848067,0.000016012491,0.00014899607,0.0016554607],"genre_scores_gemma":[0.86884975,0.00028541347,0.12893562,0.00018513038,0.00010761662,0.000067287685,0.000030720443,0.000049992712,0.0014884613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984321,0.0006520293,0.000061651495,0.00020641342,0.00040808655,0.00023964776],"domain_scores_gemma":[0.9986119,0.00082136045,0.00016299565,0.00016720823,0.00016988092,0.00006665816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016006794,0.0010527761,0.0010045833,0.00049292465,0.0008386948,0.00085466803,0.0010195456,0.0007364355,0.0013229481],"category_scores_gemma":[0.0029892612,0.00032780456,0.00044639155,0.00081779837,0.00092728465,0.0013063436,0.0013176969,0.0008773901,0.0003436222],"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":[0.00051711925,0.00015444639,0.0014729032,0.00014811335,0.00010139512,0.00033008933,0.00023981929,0.76315564,0.043717004,0.06695168,0.0016144672,0.121597305],"study_design_scores_gemma":[0.000014631172,0.00007745021,0.00013538536,0.0000053008034,0.000012875247,0.00007208985,0.000021628215,0.9894838,0.0034311216,0.006067927,0.0006618928,0.000015891836],"about_ca_topic_score_codex":0.0014616672,"about_ca_topic_score_gemma":0.0022954862,"teacher_disagreement_score":0.0016006794,"about_ca_system_score_codex":0.0005681433,"about_ca_system_score_gemma":0.0008854466,"threshold_uncertainty_score":0.00846535},"labels":[],"label_agreement":null},{"id":"W3214709934","doi":"10.1109/tvt.2021.3125401","title":"URLLC-Enabled by Laser Powered UAV Relay: A Quasi-Optimal Design of Resource Allocation, Trajectory Planning and Energy Harvesting","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Network packet; Relay; Computer science; Optimization problem; Telecommunications link; Trajectory optimization; Convex optimization; Transmitter power output; Real-time computing; Trajectory; Mathematical optimization; Control theory (sociology); Power (physics); Optimal control; Transmitter; Computer network; Control (management); Regular polygon; Channel (broadcasting); Mathematics; Algorithm","score_opus":0.0073377832628759125,"score_gpt":0.19218729636673698,"score_spread":0.18484951310386108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214709934","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":[0.023668686,0.00055569486,0.96668774,0.00037403594,0.00005178363,0.0000918347,0.00006670236,0.00020144405,0.008301972],"genre_scores_gemma":[0.8952974,0.00069745135,0.098745935,0.00011483616,0.000041421008,0.000289279,0.00007165363,0.00006634934,0.0046756174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996425,0.00010799025,0.0000131113275,0.00009412011,0.00008036344,0.0000619175],"domain_scores_gemma":[0.9993808,0.0003337753,0.00010971935,0.000030144982,0.00010582829,0.000039708135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069012865,0.001006183,0.0010264916,0.00031936736,0.00040099048,0.001413834,0.0009786773,0.001376178,0.00219054],"category_scores_gemma":[0.0016544557,0.0006811688,0.0006274296,0.00040435774,0.0010791201,0.000923243,0.0011597251,0.0008982769,0.00039775498],"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":[0.00006334014,0.000028320574,0.00022951559,0.00010141504,0.00002424074,0.00015780711,0.000064320244,0.97770363,0.0050066863,0.006942397,0.00061440625,0.009063967],"study_design_scores_gemma":[0.00000676635,0.00003214807,0.00003764499,0.0000040463606,0.0000049980085,0.000015066276,0.0000123095015,0.9983406,0.0004750536,0.00083191827,0.00023490743,0.0000045164225],"about_ca_topic_score_codex":0.0046104607,"about_ca_topic_score_gemma":0.0030951193,"teacher_disagreement_score":0.0046104607,"about_ca_system_score_codex":0.001115553,"about_ca_system_score_gemma":0.0015557677,"threshold_uncertainty_score":0.009167254},"labels":[],"label_agreement":null},{"id":"W3215243218","doi":"10.1109/tvt.2021.3131395","title":"A Double Auction Mechanism for Resource Allocation in Coded Vehicular Edge Computing","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Research (Canada); University of British Columbia","funders":"Ministry of Education - Singapore; National Research Foundation Singapore","keywords":"Double auction; Computer science; Server; Cloud computing; Incentive compatibility; Auction algorithm; Edge computing; Computer network; Resource allocation; Distributed computing; Computation offloading; Incentive; Bidding; Auction theory; Operating system; Microeconomics; Revenue equivalence","score_opus":0.026013907921927672,"score_gpt":0.26843941442335073,"score_spread":0.24242550650142305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215243218","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":[0.045940004,0.00027627213,0.9450275,0.00025327192,0.000105317886,0.00026406662,0.000100343714,0.00025173585,0.007781549],"genre_scores_gemma":[0.9201736,0.0002030206,0.074505016,0.00009570553,0.000036393543,0.00024090467,0.00006257528,0.000041091364,0.0046417085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969292,0.0013044828,0.0001715537,0.00042700183,0.00060906913,0.000558617],"domain_scores_gemma":[0.99716043,0.0012335905,0.00034692304,0.00039723745,0.0005315711,0.00033025144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031054532,0.0008748898,0.001196044,0.0009935503,0.0010195567,0.0026148902,0.002740108,0.0013159417,0.0035566268],"category_scores_gemma":[0.0059199804,0.00049098535,0.00084486254,0.0012915677,0.0014584443,0.0033357195,0.0015683128,0.0012181086,0.0004360024],"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":[0.0007985753,0.00025920407,0.00091386563,0.00028940567,0.00013835347,0.00057859556,0.00028791593,0.52488583,0.011315013,0.40144235,0.0040051797,0.055085804],"study_design_scores_gemma":[0.00013125064,0.0001692241,0.0001506956,0.000018573592,0.000030196801,0.00022587186,0.000061758656,0.9277521,0.0018944937,0.0665721,0.0029381413,0.000055640405],"about_ca_topic_score_codex":0.0022146832,"about_ca_topic_score_gemma":0.0015914707,"teacher_disagreement_score":0.0035566268,"about_ca_system_score_codex":0.0018358058,"about_ca_system_score_gemma":0.0024465455,"threshold_uncertainty_score":0.016423345},"labels":[],"label_agreement":null},{"id":"W3215600871","doi":"10.1109/tvt.2009.2020502","title":"SMART: A Secure Multi-Layer Credit Based Incentive Scheme for Delay-Tolerant Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","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":"University of Waterloo; Ontario Tech University","funders":"","keywords":"Computer network; Computer science; Network packet; Node (physics); Scheme (mathematics); Bundle; Packet forwarding; Wireless; Incentive; Distributed computing; Path (computing); Engineering; Telecommunications","score_opus":0.02123544391243508,"score_gpt":0.25432672724216643,"score_spread":0.23309128332973134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215600871","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":[0.04323741,0.0005172257,0.94736433,0.00090687216,0.000311209,0.00047830632,0.00031385873,0.0012382724,0.005632447],"genre_scores_gemma":[0.8890572,0.0002889283,0.10314585,0.0002424804,0.0001102797,0.00025093765,0.00021227999,0.0000375588,0.00665441],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921024,0.00019199264,0.00007656462,0.000102156024,0.00030670097,0.00011225863],"domain_scores_gemma":[0.9987237,0.00032752627,0.00025103765,0.00030531312,0.00021754293,0.0001748982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015168107,0.00051732006,0.00060938275,0.00061358564,0.00081778714,0.0008898468,0.0017336599,0.00091281545,0.003530856],"category_scores_gemma":[0.0030774188,0.0002310577,0.00032339548,0.0007294147,0.00086734316,0.0023488197,0.0022162336,0.0010660975,0.00059479446],"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":[0.002324775,0.00043750665,0.0028934998,0.00047302188,0.00011170537,0.00061535614,0.000501337,0.23567967,0.0460632,0.32591,0.021554178,0.36343572],"study_design_scores_gemma":[0.00026259344,0.00034843394,0.0005100172,0.000029898745,0.000042927582,0.00036265535,0.000056250694,0.90718216,0.010288992,0.057627313,0.0232096,0.00007925526],"about_ca_topic_score_codex":0.0008922406,"about_ca_topic_score_gemma":0.0010048533,"teacher_disagreement_score":0.003530856,"about_ca_system_score_codex":0.0011071212,"about_ca_system_score_gemma":0.001204412,"threshold_uncertainty_score":0.011811912},"labels":[],"label_agreement":null},{"id":"W3215710763","doi":"10.1109/tvt.2021.3131776","title":"A Secure and Efficient Wireless Charging Scheme for Electric Vehicles in Vehicular Energy Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":62,"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 Windsor","funders":"National Natural Science Foundation of China","keywords":"Wireless; Scheme (mathematics); Computer science; Electric vehicle; Electrical engineering; Energy (signal processing); Computer network; Engineering; Telecommunications; Physics; Power (physics)","score_opus":0.005752213847831982,"score_gpt":0.2093393145660083,"score_spread":0.20358710071817632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215710763","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":[0.08203316,0.00041570593,0.90770054,0.00036950439,0.000113109156,0.00023580763,0.00011858418,0.0003730871,0.008640494],"genre_scores_gemma":[0.9795634,0.00019390616,0.01784238,0.000041265088,0.00001108101,0.00008704891,0.0000551458,0.000010399524,0.0021953064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911684,0.00021666067,0.00006154275,0.00013076076,0.0002828756,0.00019132567],"domain_scores_gemma":[0.9993304,0.00020643273,0.000102666636,0.0001316522,0.0001696588,0.000059187918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007236666,0.00044765198,0.0005535344,0.00040646963,0.0007444481,0.000890228,0.001257516,0.00066948065,0.002234861],"category_scores_gemma":[0.0018548736,0.00021211558,0.00044358216,0.0006603858,0.0007418568,0.0013838118,0.0015649251,0.0006417469,0.0003606356],"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":[0.00030144947,0.000087881,0.0014164365,0.00016590224,0.000046482775,0.00044765466,0.00019713427,0.8526319,0.013023308,0.076454826,0.0021148422,0.053112127],"study_design_scores_gemma":[0.000021120732,0.000080188394,0.00011541975,0.0000074935683,0.00000965528,0.00008533609,0.000023915038,0.98710686,0.0016045695,0.0094134165,0.0015212725,0.000010686657],"about_ca_topic_score_codex":0.003326887,"about_ca_topic_score_gemma":0.0029782606,"teacher_disagreement_score":0.003326887,"about_ca_system_score_codex":0.00086071325,"about_ca_system_score_gemma":0.0013703653,"threshold_uncertainty_score":0.00747633},"labels":[],"label_agreement":null},{"id":"W3216409426","doi":"10.1109/tvt.2021.3129098","title":"Truthful Deep Mechanism Design for Revenue-Maximization in Edge Computing With Budget Constraints","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Crowdsensing and Crowdsourcing","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":"Université de Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Incentive compatibility; Mechanism design; Revenue; Computation offloading; Edge computing; Incentive; Private information retrieval; Budget constraint; Task (project management); Service provider; Service (business); Distributed computing; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Computer security; Engineering","score_opus":0.011914319301384306,"score_gpt":0.22206609879269043,"score_spread":0.21015177949130612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216409426","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":[0.02338212,0.00026698288,0.9714542,0.00078453205,0.00008038336,0.00015446998,0.00013106571,0.00020191404,0.0035443692],"genre_scores_gemma":[0.8965759,0.0004113399,0.0975556,0.00046954857,0.000095453644,0.00036418898,0.00011168509,0.000073779294,0.004342476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99548954,0.0021370403,0.00023025721,0.0008552793,0.00056702935,0.0007208898],"domain_scores_gemma":[0.988526,0.007994946,0.0010865497,0.0009642476,0.0008440868,0.00058418687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00801113,0.0015441733,0.002260658,0.0009146921,0.0008921653,0.0028562,0.0037567914,0.0031656718,0.0062456345],"category_scores_gemma":[0.020532304,0.0011842902,0.0011770962,0.001113455,0.002492263,0.0060748756,0.0027410723,0.0035978905,0.0006208559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046117103,0.00019772019,0.00070717983,0.00032468638,0.00011101997,0.00028229426,0.00024975516,0.7099183,0.002593166,0.25113124,0.0024750344,0.0315483],"study_design_scores_gemma":[0.000059312726,0.00006308384,0.00007438993,0.00001910546,0.000020496384,0.000049937033,0.000031128086,0.8965681,0.00057716086,0.101865344,0.0006545665,0.000017346452],"about_ca_topic_score_codex":0.0015474256,"about_ca_topic_score_gemma":0.0012980155,"teacher_disagreement_score":0.00801113,"about_ca_system_score_codex":0.0025426997,"about_ca_system_score_gemma":0.0030520048,"threshold_uncertainty_score":0.0423674},"labels":[],"label_agreement":null},{"id":"W3216594308","doi":"10.1109/tvt.2021.3131744","title":"Blockchain-Based Secure and Cooperative Private Charging Pile Sharing Services for Vehicular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":82,"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 Windsor","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Reputation; Computer science; Data sharing; Computer security; Cryptocurrency","score_opus":0.007763536850259442,"score_gpt":0.2242670685531148,"score_spread":0.21650353170285536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216594308","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":[0.13411956,0.00040831257,0.8445565,0.0015958603,0.00016638891,0.0005183629,0.00041512598,0.0012756173,0.016944362],"genre_scores_gemma":[0.97128624,0.00014315372,0.022125497,0.000072341725,0.000023779177,0.00012253688,0.0001924662,0.00002856755,0.006005528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851424,0.00043613926,0.00008764301,0.00021821786,0.00038459687,0.00035916985],"domain_scores_gemma":[0.9982855,0.0005837394,0.00017233203,0.00042263468,0.00030114484,0.0002345853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014234099,0.00048625516,0.0007374444,0.00050304877,0.0014288307,0.0014302772,0.0017033702,0.0011645971,0.0052589513],"category_scores_gemma":[0.0032512317,0.000316029,0.00043529164,0.0008822229,0.0011183791,0.0030960755,0.0030813592,0.0010668747,0.00086260034],"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":[0.0010903158,0.00038963556,0.0018950253,0.00019398896,0.000061895604,0.0006510914,0.00069495453,0.67749536,0.013168608,0.18779987,0.008479262,0.10808009],"study_design_scores_gemma":[0.000056508525,0.000065899854,0.00012678698,0.000010088957,0.000008211429,0.0000531899,0.000068047004,0.9535684,0.0022646498,0.040425185,0.0033367802,0.000016338914],"about_ca_topic_score_codex":0.0068281055,"about_ca_topic_score_gemma":0.009581272,"teacher_disagreement_score":0.0068281055,"about_ca_system_score_codex":0.0016035974,"about_ca_system_score_gemma":0.0032046393,"threshold_uncertainty_score":0.017592907},"labels":[],"label_agreement":null},{"id":"W3216709334","doi":"10.1109/tvt.2021.3130580","title":"Multi-Objective Design Optimization of a Novel Dual-Mode Power-Split Hybrid Powertrain","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body; National Natural Science Foundation of China","keywords":"Powertrain; Pareto principle; Mathematical optimization; Dual (grammatical number); Mode (computer interface); Multi-objective optimization; Computer science; Power (physics); Engineering; Control theory (sociology); Mathematics; Artificial intelligence","score_opus":0.014401679681194794,"score_gpt":0.23195637560199678,"score_spread":0.21755469592080198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216709334","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":[0.102499425,0.00026178444,0.8843644,0.00013725809,0.00003961985,0.00011785064,0.000081368176,0.00016026174,0.012337939],"genre_scores_gemma":[0.9182279,0.00014923366,0.07596001,0.00005031444,0.000012529391,0.00034222793,0.000109718814,0.000026626403,0.005121463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984825,0.00003151825,0.0000059164818,0.000028292307,0.00006394824,0.000021976819],"domain_scores_gemma":[0.99989855,0.000038611106,0.000014675893,0.0000070017204,0.00003135656,0.00000980906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041620474,0.00057039806,0.0005560613,0.00041511926,0.0002693371,0.000703624,0.0006953779,0.00057367346,0.0020161066],"category_scores_gemma":[0.00039990444,0.00035486775,0.00047729298,0.0003536056,0.000312744,0.00048694978,0.00064321497,0.00047259536,0.0001857342],"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":[0.00004187954,0.00004300963,0.00037009866,0.000067798836,0.000030541618,0.000059269234,0.000024092162,0.97523516,0.004891172,0.0022614358,0.00024972655,0.016725734],"study_design_scores_gemma":[0.000007937262,0.000043673816,0.00010302814,0.0000027261585,0.0000054202487,0.000009202751,0.000008111004,0.998547,0.00056027,0.0004182696,0.00029199253,0.000002216831],"about_ca_topic_score_codex":0.0017249475,"about_ca_topic_score_gemma":0.0017655905,"teacher_disagreement_score":0.0020161066,"about_ca_system_score_codex":0.000325282,"about_ca_system_score_gemma":0.0007208803,"threshold_uncertainty_score":0.006744504},"labels":[],"label_agreement":null},{"id":"W3216796187","doi":"10.1109/tvt.2021.3131426","title":"Uplink Performance of MmWave-Fronthaul Cell-Free Massive MIMO Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Bandwidth (computing); MIMO; Electronic engineering; Computer science; Computer network; Engineering","score_opus":0.009017843241842767,"score_gpt":0.18854439981779428,"score_spread":0.1795265565759515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216796187","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":[0.8573306,0.0019605455,0.12646978,0.00044564885,0.00010077756,0.000036559584,0.00044274307,0.00049465284,0.0127186645],"genre_scores_gemma":[0.99767596,0.00020421605,0.0015744404,0.00004941317,0.00001606564,0.000007842001,0.000070519,0.000009216645,0.00039239725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987453,0.00039811723,0.000060439903,0.00013956655,0.00029695366,0.00035957826],"domain_scores_gemma":[0.9955858,0.0026261338,0.0005381638,0.00028886163,0.00079367927,0.0001674327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013824874,0.0010512011,0.0008634075,0.0005506368,0.0006537732,0.0011704626,0.0004994134,0.0010575212,0.0009275298],"category_scores_gemma":[0.0043607196,0.00025838896,0.00035205478,0.0008244472,0.00079915096,0.0007847415,0.0012424291,0.0005046507,0.0003127285],"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":[0.00061239314,0.000089853726,0.006243795,0.00017850641,0.0001058976,0.0003492107,0.00014720649,0.94106305,0.02428052,0.009473919,0.00084189925,0.016613828],"study_design_scores_gemma":[0.000019471376,0.00027408483,0.0033810115,0.000023598075,0.000042277217,0.0001970474,0.00009220623,0.9848328,0.009278553,0.001568525,0.0002564611,0.000034012],"about_ca_topic_score_codex":0.0029655658,"about_ca_topic_score_gemma":0.0017147991,"teacher_disagreement_score":0.0029655658,"about_ca_system_score_codex":0.00080463086,"about_ca_system_score_gemma":0.0006327137,"threshold_uncertainty_score":0.007311344},"labels":[],"label_agreement":null},{"id":"W4200035844","doi":"10.1109/tvt.2021.3139315","title":"Joint User Grouping, Sparse Beamforming, and Subcarrier Allocation for D2D Underlaid Cache-Enabled C-RANs With Rate Splitting","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; China University of Mining and Technology; National Natural Science Foundation of China","keywords":"Subcarrier; Computer science; Beamforming; Backhaul (telecommunications); Transmitter power output; Algorithm; Theoretical computer science; Computer network; Transmitter; Base station; Channel (broadcasting); Orthogonal frequency-division multiplexing","score_opus":0.010660657397217686,"score_gpt":0.2074984685639928,"score_spread":0.1968378111667751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200035844","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":[0.02742141,0.00009843189,0.9700962,0.00011620698,0.000021643373,0.000047258956,0.000027087235,0.000152302,0.002019441],"genre_scores_gemma":[0.77802366,0.00013833177,0.21926413,0.00012617349,0.000030528685,0.000118446085,0.00005767219,0.00003132307,0.002209766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924314,0.00024923283,0.00002822755,0.00015368972,0.00016783267,0.00015792003],"domain_scores_gemma":[0.9994404,0.00019738649,0.00009509977,0.000095163734,0.0001057083,0.00006630214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075990264,0.00093293865,0.00084361003,0.0003165573,0.00063585845,0.0007870875,0.0014019941,0.00093688065,0.0015076107],"category_scores_gemma":[0.00152379,0.00034128595,0.00050289195,0.00079618004,0.00065879186,0.0011700373,0.0014585602,0.00071995036,0.0004102566],"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":[0.00019082165,0.00014784756,0.00085691287,0.000079814694,0.00003722313,0.00019734555,0.00016253402,0.87572414,0.010103553,0.027501509,0.002115461,0.08288287],"study_design_scores_gemma":[0.000009271917,0.000046445217,0.0000537737,0.0000022687339,0.00000569741,0.000029788021,0.000022016065,0.9959985,0.0010708042,0.0023489057,0.00040634014,0.000006253956],"about_ca_topic_score_codex":0.00452546,"about_ca_topic_score_gemma":0.0066496213,"teacher_disagreement_score":0.00452546,"about_ca_system_score_codex":0.0007692937,"about_ca_system_score_gemma":0.0011756584,"threshold_uncertainty_score":0.008998215},"labels":[],"label_agreement":null},{"id":"W4200190598","doi":"10.1109/tvt.2021.3122760","title":"IEEE Vehicular Technology Society IEEE Transactions on Vehicular Technology","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"IEEE 802.11w-2009; Computer science; IEEE 802.11u; Telecommunications; Engineering; Computer network; Electrical engineering; Wireless; Wireless lan; IEEE 802.11","score_opus":0.007567705704832556,"score_gpt":0.21014735179578167,"score_spread":0.2025796460909491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200190598","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02117357,0.08702143,0.29084226,0.0115584815,0.0655889,0.00049043423,0.0029383502,0.004158786,0.5162278],"genre_scores_gemma":[0.20011224,0.07821898,0.06272727,0.002302101,0.004893969,0.00035489356,0.009766501,0.0006830492,0.640941],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992167,0.00016109942,0.00006820032,0.00010086508,0.00036915785,0.00008395762],"domain_scores_gemma":[0.99799573,0.00019542692,0.000058672547,0.00028011933,0.0013659513,0.000104252045],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009821118,0.0010676541,0.0010726413,0.001265252,0.00068287604,0.0027384874,0.0009064677,0.0016023116,0.021281432],"category_scores_gemma":[0.001577588,0.00036618038,0.00040112753,0.0016442696,0.00035291066,0.0010665506,0.0010658787,0.0016738176,0.021842165],"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":[0.000202541,0.00015882411,0.0022642615,0.0006704043,0.000098887744,0.0004038683,0.00017196583,0.0062536183,0.008671065,0.023489222,0.33202875,0.6255865],"study_design_scores_gemma":[0.000019124873,0.00014138446,0.001985589,0.00024760442,0.00008103346,0.00047865792,0.00017370445,0.008896331,0.002957966,0.0076962444,0.97728443,0.000037956735],"about_ca_topic_score_codex":0.0052166525,"about_ca_topic_score_gemma":0.0070627388,"teacher_disagreement_score":0.9787186,"about_ca_system_score_codex":0.000588189,"about_ca_system_score_gemma":0.0015210182,"threshold_uncertainty_score":0.07119346},"labels":[],"label_agreement":null},{"id":"W4205130598","doi":"10.1109/tvt.2021.3134180","title":"Simultaneous Decoupling and Decorrelation Scheme of MIMO Arrays","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":34,"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","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; National Natural Science Foundation of China","keywords":"Decorrelation; Decoupling (probability); MIMO; Electronic engineering; Computer science; Scheme (mathematics); Control theory (sociology); Engineering; Algorithm; Mathematics; Control engineering; Beamforming; Artificial intelligence","score_opus":0.006285592747407991,"score_gpt":0.2028291644734005,"score_spread":0.1965435717259925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205130598","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":[0.13538292,0.00030112395,0.8551503,0.00010800135,0.00007147105,0.000041561583,0.00006386974,0.000792061,0.008088574],"genre_scores_gemma":[0.7616784,0.00024680916,0.23229235,0.00012618602,0.000047878002,0.000074635784,0.00014854455,0.000042534262,0.0053426805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955195,0.00010963208,0.000025224108,0.00010886744,0.00014816239,0.000056203287],"domain_scores_gemma":[0.99973005,0.00005571535,0.00003608771,0.00010104432,0.00006118112,0.000015942906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023623265,0.000541656,0.0004142079,0.00024756617,0.00027954843,0.0003916729,0.0004925334,0.00030690627,0.0014348277],"category_scores_gemma":[0.00056085666,0.00030983207,0.0003779417,0.00044659688,0.00025737795,0.00062550703,0.00073712395,0.0003602121,0.0005910556],"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":[0.0005017493,0.000092534945,0.0010639399,0.00013550486,0.00008090963,0.00030349102,0.0002462879,0.06418052,0.66177124,0.021654846,0.0012490831,0.24871992],"study_design_scores_gemma":[0.00005283246,0.0005599347,0.0016952159,0.000022696277,0.00007398077,0.00077846774,0.00008017957,0.6413296,0.33926794,0.0068831816,0.009192755,0.0000632077],"about_ca_topic_score_codex":0.00023041047,"about_ca_topic_score_gemma":0.00056197,"teacher_disagreement_score":0.0014348277,"about_ca_system_score_codex":0.00018194715,"about_ca_system_score_gemma":0.000253575,"threshold_uncertainty_score":0.0048000216},"labels":[],"label_agreement":null},{"id":"W4205306254","doi":"10.1109/tvt.2021.3134272","title":"Multi-Agent Deep Reinforcement Learning-Empowered Channel Allocation in Vehicular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":69,"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":"Reinforcement learning; Computer science; Channel (broadcasting); Channel allocation schemes; Computer network; Artificial intelligence; Engineering; Telecommunications; Wireless","score_opus":0.00881718005287248,"score_gpt":0.21891563294203667,"score_spread":0.21009845288916418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205306254","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":[0.15962741,0.0006698064,0.83434045,0.0007166127,0.00010827036,0.000037523474,0.000055921282,0.0004834355,0.003960594],"genre_scores_gemma":[0.9887815,0.000068359324,0.010003376,0.000056529203,0.000011999191,0.000020693236,0.000020523665,0.00001168498,0.0010252432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976844,0.000082702725,0.000008414409,0.000041526295,0.000034076245,0.00006478931],"domain_scores_gemma":[0.9992926,0.00042485236,0.00008291301,0.000030397336,0.0001143062,0.000054834047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087033433,0.00057746784,0.00075334817,0.00021732053,0.00032485585,0.0005355197,0.00083063653,0.00067245215,0.00075544015],"category_scores_gemma":[0.001959962,0.00039347858,0.00023460599,0.00021785266,0.0007561723,0.0006153698,0.0007644136,0.001077205,0.00010369657],"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":[0.00002219368,0.000011681103,0.0002766977,0.000008547569,0.000007640079,0.000016871152,0.000010576815,0.9930606,0.0002658556,0.0013227855,0.00017400154,0.0048226067],"study_design_scores_gemma":[0.0000017712065,0.0000038633134,0.000020864887,5.7312894e-7,8.028178e-7,0.0000011006211,0.0000013545091,0.99941003,0.000047694386,0.00048468457,0.000026547872,7.2214925e-7],"about_ca_topic_score_codex":0.015427398,"about_ca_topic_score_gemma":0.012244797,"teacher_disagreement_score":0.015427398,"about_ca_system_score_codex":0.0010099665,"about_ca_system_score_gemma":0.001124519,"threshold_uncertainty_score":0.030675232},"labels":[],"label_agreement":null},{"id":"W4205453548","doi":"10.1109/tvt.2022.3144133","title":"Multi-Actuation Controller for Performance Vehicles: Optimal Torque Allocation and Active Aerodynamic","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CarSim; Control theory (sociology); Aerodynamics; Torque; Engineering; Controller (irrigation); Actuator; Vehicle dynamics; MATLAB; Aerodynamic force; Nonlinear system; Model predictive control; Micro air vehicle; Control engineering; Automotive engineering; Computer science; Control (management); Aerospace engineering","score_opus":0.005894271115834094,"score_gpt":0.19559678954640192,"score_spread":0.18970251843056782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205453548","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":[0.036228642,0.00068669533,0.9529523,0.00013995911,0.00012585256,0.00008142096,0.000069433416,0.00096259726,0.008753083],"genre_scores_gemma":[0.96558905,0.00013626495,0.031461846,0.00004811129,0.000038745908,0.00008441476,0.00007134474,0.00002613773,0.0025440834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979955,0.000021638558,0.000008939032,0.0000393472,0.00010390826,0.00002666448],"domain_scores_gemma":[0.9998549,0.000024470339,0.000042491472,0.0000145668255,0.000052334733,0.00001124296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027286285,0.0005664004,0.00035812464,0.0002406766,0.00029540487,0.00056452915,0.0007627542,0.00036571952,0.0011629593],"category_scores_gemma":[0.00035296904,0.00014576275,0.00020882433,0.00020051566,0.00020269086,0.00030815852,0.0004299769,0.00053996063,0.000334111],"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":[0.00022072886,0.00015901901,0.0006762127,0.00035292224,0.000046060497,0.00019401681,0.000094327304,0.7217513,0.101702824,0.007727926,0.0031241723,0.1639505],"study_design_scores_gemma":[0.000019494211,0.00014484872,0.00042467527,0.000010330485,0.0000070691544,0.00004234299,0.000009484397,0.98715544,0.009287874,0.0006448655,0.0022450876,0.000008486999],"about_ca_topic_score_codex":0.0018357359,"about_ca_topic_score_gemma":0.002394199,"teacher_disagreement_score":0.0018357359,"about_ca_system_score_codex":0.00036597796,"about_ca_system_score_gemma":0.00051806815,"threshold_uncertainty_score":0.0038904548},"labels":[],"label_agreement":null},{"id":"W4205681265","doi":"10.1109/tvt.2022.3143174","title":"Resource Allocation for URLLC-Oriented Two-Way UAV Relaying","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Flexibility (engineering); Resource allocation; Optimization problem; Constraint (computer-aided design); Mathematical optimization; Resource management (computing); Software deployment; Wireless; Transmission (telecommunications); Distributed computing; Computer network; Engineering; Algorithm; Telecommunications; Mathematics","score_opus":0.010830410893873184,"score_gpt":0.23730690337605936,"score_spread":0.22647649248218618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205681265","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":[0.04616153,0.0009344002,0.94500273,0.00022898929,0.000052888547,0.00007882828,0.000050571824,0.0002263815,0.007263692],"genre_scores_gemma":[0.93490803,0.00051282515,0.062037047,0.00005574556,0.000034225843,0.000090475005,0.00004552633,0.000028635352,0.002287501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994523,0.00018614811,0.000028037155,0.00009897676,0.0001134402,0.00012113767],"domain_scores_gemma":[0.9995571,0.00020468268,0.000077758974,0.000032810593,0.00009554753,0.000031988304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006233672,0.00089636137,0.0008359211,0.0005168023,0.0005158411,0.001118964,0.00086948345,0.0006803429,0.0015737759],"category_scores_gemma":[0.0012590596,0.00033861044,0.00039812218,0.00066424184,0.0005056245,0.0010078523,0.00090092124,0.0004770701,0.00029025687],"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":[0.00012380289,0.00006258327,0.00057812536,0.00015808873,0.00004131376,0.00028670434,0.0001356568,0.92754966,0.012311836,0.013165264,0.0016604888,0.043926485],"study_design_scores_gemma":[0.000009790814,0.000038036498,0.00008073895,0.0000039845922,0.000009612666,0.000055581422,0.000022870472,0.9970074,0.0010839883,0.0013038457,0.00037666727,0.000007412694],"about_ca_topic_score_codex":0.0031160733,"about_ca_topic_score_gemma":0.0035260213,"teacher_disagreement_score":0.0031160733,"about_ca_system_score_codex":0.00088077073,"about_ca_system_score_gemma":0.0009424714,"threshold_uncertainty_score":0.006390512},"labels":[],"label_agreement":null},{"id":"W4205790754","doi":"10.1109/tvt.2022.3141969","title":"Spectral-Energy Efficiency Trade-Off Based Design for Hybrid TDMA-NOMA System","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Time division multiple access; Noma; Mathematical optimization; Spectral efficiency; Convexity; Computer science; Resource allocation; Convex optimization; Optimization problem; Wireless; Computer network; Distributed computing; Regular polygon; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.012057903497258568,"score_gpt":0.21001571991962853,"score_spread":0.19795781642236995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205790754","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":[0.02868782,0.00048447415,0.9614089,0.00012649948,0.00004692194,0.00006954986,0.000032375632,0.00015673036,0.008986788],"genre_scores_gemma":[0.92831016,0.0003589631,0.06810169,0.00009046238,0.000036415113,0.0002056374,0.00003726488,0.000028992623,0.0028303945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943465,0.00017588444,0.000024803316,0.000095638025,0.00019892947,0.00007006248],"domain_scores_gemma":[0.9997327,0.000086390435,0.00005759961,0.000015038644,0.00008987751,0.000018453517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063815725,0.00086011144,0.00070509774,0.0003825141,0.00038899577,0.0011157894,0.00072184205,0.00062642456,0.0014108005],"category_scores_gemma":[0.0006668596,0.0004126474,0.0005128899,0.00038799527,0.00041691278,0.0005203632,0.00064722117,0.00054252846,0.00027177343],"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":[0.00010402946,0.000054639815,0.00041836387,0.00009999103,0.00005081231,0.00010111114,0.000067559056,0.9476004,0.013344585,0.0065514585,0.0006489115,0.03095818],"study_design_scores_gemma":[0.000007518126,0.00009406217,0.00010110278,0.0000059324125,0.000011649544,0.000027371798,0.000010612464,0.9975068,0.0009235388,0.00083131733,0.00047515525,0.00000495751],"about_ca_topic_score_codex":0.0015044443,"about_ca_topic_score_gemma":0.0020267863,"teacher_disagreement_score":0.0015044443,"about_ca_system_score_codex":0.00056842196,"about_ca_system_score_gemma":0.00074261863,"threshold_uncertainty_score":0.004719615},"labels":[],"label_agreement":null},{"id":"W4205984437","doi":"10.1109/tvt.2022.3143841","title":"RIS-Aided Communications in Indoor and Outdoor Environments: Performance Analysis With a Realistic Channel Model","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Channel (broadcasting); Computer science; Electronic engineering; Engineering; Telecommunications","score_opus":0.01406771686961573,"score_gpt":0.2192386361659471,"score_spread":0.20517091929633138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205984437","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":[0.471312,0.001283845,0.49981594,0.00059464655,0.0001155412,0.00010392746,0.0005472992,0.0008038991,0.025422923],"genre_scores_gemma":[0.9913579,0.00030256956,0.006629881,0.000040894287,0.000020543965,0.000030831972,0.00008206066,0.000015153199,0.0015200919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928397,0.00020821935,0.000017398283,0.000094135976,0.00019582444,0.00020043118],"domain_scores_gemma":[0.9987968,0.000618588,0.000168602,0.000107370055,0.00026681097,0.000041724517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005501408,0.00097472477,0.00081939786,0.00042478883,0.0005313015,0.00083941757,0.0007057865,0.0011852873,0.0011134042],"category_scores_gemma":[0.0015559752,0.00030965518,0.0005142449,0.00077796844,0.000938602,0.000991675,0.00078297977,0.00074878393,0.0003409336],"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":[0.00004491662,0.00002518071,0.000558002,0.000031100135,0.000012375145,0.00011469139,0.000032693028,0.99202067,0.0019323024,0.0027968045,0.00024044163,0.0021908856],"study_design_scores_gemma":[0.0000032632079,0.00003903428,0.00022642635,0.000002999261,0.000007034809,0.00005284522,0.000020741116,0.99860233,0.0005442021,0.00036831078,0.00012359429,0.000009108253],"about_ca_topic_score_codex":0.010365568,"about_ca_topic_score_gemma":0.007074962,"teacher_disagreement_score":0.010365568,"about_ca_system_score_codex":0.001033852,"about_ca_system_score_gemma":0.0009754016,"threshold_uncertainty_score":0.020610511},"labels":[],"label_agreement":null},{"id":"W4206049888","doi":"10.1109/tvt.2021.3134329","title":"GAN and Multi-Agent DRL Based Decentralized Traffic Light Signal Control","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":44,"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 Windsor; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Intersection (aeronautics); Scalability; Reinforcement learning; Intelligent transportation system; Computer network; Bandwidth (computing); Distributed computing; Traffic congestion; Real-time computing; Engineering; Artificial intelligence; Transport engineering","score_opus":0.005906070109730275,"score_gpt":0.19114468295269668,"score_spread":0.18523861284296642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206049888","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":[0.019667609,0.00015551188,0.9762437,0.0002303605,0.000044025404,0.000026811258,0.00004725255,0.00038547124,0.0031993021],"genre_scores_gemma":[0.9569968,0.000079917445,0.03986971,0.000118328026,0.000029787278,0.00006697077,0.00008227653,0.000042078325,0.0027141098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995875,0.00011087407,0.0000121507255,0.000117647025,0.00009098629,0.00008085885],"domain_scores_gemma":[0.9993957,0.00025292602,0.00010112474,0.00005387413,0.0001441749,0.00005218787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006764702,0.0006726105,0.00085196656,0.00027087014,0.00030314707,0.0005298834,0.0012091127,0.0007161925,0.0015443196],"category_scores_gemma":[0.0013678696,0.00034429127,0.00042106063,0.0002949577,0.0008065092,0.00064889906,0.000889489,0.0012676863,0.00024746658],"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":[0.000025397423,0.00001757481,0.00020880646,0.000015439173,0.000011382721,0.000029270084,0.00001657252,0.98268914,0.0009866824,0.0058730156,0.0005737156,0.009553036],"study_design_scores_gemma":[0.000002202651,0.0000063252805,0.000016996497,5.591143e-7,9.987566e-7,0.0000028090244,9.783196e-7,0.9990694,0.00007805857,0.0007449428,0.000075630494,0.0000010954006],"about_ca_topic_score_codex":0.0064238855,"about_ca_topic_score_gemma":0.005913953,"teacher_disagreement_score":0.0064238855,"about_ca_system_score_codex":0.00090569974,"about_ca_system_score_gemma":0.0010160747,"threshold_uncertainty_score":0.012772977},"labels":[],"label_agreement":null},{"id":"W4206208060","doi":"10.1109/tvt.2021.3138898","title":"Joint Cache Placement and Cooperative Multicast Beamforming in Integrated Satellite-Terrestrial Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":37,"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 Waterloo","funders":"China Scholarship Council","keywords":"Backhaul (telecommunications); Multicast; Computer science; Cache; Computer network; Beamforming; Base station; Distributed computing; Telecommunications","score_opus":0.02145348829779892,"score_gpt":0.23643486472992348,"score_spread":0.21498137643212456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206208060","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":[0.04016731,0.00050919567,0.9568244,0.000111216694,0.00002656569,0.000022084894,0.000026910182,0.000104271974,0.0022080324],"genre_scores_gemma":[0.90970755,0.0005704406,0.087361425,0.000065829794,0.00005634062,0.000063821586,0.000057990306,0.00002411303,0.0020924725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994804,0.00018253994,0.000014837823,0.000082045815,0.00014272709,0.000097335236],"domain_scores_gemma":[0.99951804,0.00027359131,0.00006813325,0.000027471648,0.000084900814,0.000027852631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059483555,0.0007483581,0.000719087,0.00033039012,0.00037647167,0.0005229431,0.0007225561,0.0006387879,0.000654419],"category_scores_gemma":[0.001348596,0.00034102917,0.0003718508,0.0009861083,0.0005652889,0.0010316427,0.00062050036,0.00045819342,0.00014523788],"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":[0.00008973181,0.000041022744,0.00075688085,0.00006993661,0.00003973889,0.00013228129,0.00008008001,0.93819493,0.0070297136,0.010428458,0.0006741243,0.04246303],"study_design_scores_gemma":[0.0000045132106,0.000035494515,0.00009379273,0.0000023615903,0.000007796359,0.000024010447,0.00001756821,0.99748886,0.00076083455,0.0013179105,0.0002427232,0.0000041158514],"about_ca_topic_score_codex":0.005330221,"about_ca_topic_score_gemma":0.0058669574,"teacher_disagreement_score":0.005330221,"about_ca_system_score_codex":0.0007599856,"about_ca_system_score_gemma":0.0007319312,"threshold_uncertainty_score":0.010598421},"labels":[],"label_agreement":null},{"id":"W4206324190","doi":"10.1109/tvt.2021.3133574","title":"Physical Layer Security in Cybertwin-Enabled Integrated Satellite-Terrestrial Vehicle Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Beamforming; Communications satellite; Satellite; Transmission (telecommunications); Computer network; Physical layer; Channel (broadcasting); Telecommunications; Wireless; Engineering","score_opus":0.013264172134091718,"score_gpt":0.23695797351158684,"score_spread":0.22369380137749512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206324190","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":[0.05071798,0.0019181409,0.9400166,0.00034347828,0.0000883602,0.00004829072,0.000060155653,0.00013106615,0.006675811],"genre_scores_gemma":[0.9593886,0.0011768222,0.036841307,0.0001135761,0.000046549703,0.000055727687,0.00005389421,0.000016963839,0.002306607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990096,0.0003764459,0.00003215149,0.00017711792,0.0002202984,0.00018428205],"domain_scores_gemma":[0.99914384,0.00045783038,0.0001370687,0.00008923935,0.00013324755,0.000038679627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008960241,0.00081986137,0.0006601083,0.00037991622,0.0005269221,0.001567488,0.00077347114,0.00079831487,0.0015150142],"category_scores_gemma":[0.001373055,0.00034980057,0.0004934728,0.0006189287,0.0010804161,0.0021464557,0.0015195828,0.0010422618,0.00019599305],"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":[0.00012409678,0.000044159337,0.0008373902,0.00020650959,0.00006148482,0.0003804601,0.0001286273,0.90485096,0.0062147034,0.05325925,0.0010075249,0.032884963],"study_design_scores_gemma":[0.00000594697,0.00005725282,0.00013236371,0.000011831158,0.000012766281,0.000075992975,0.00004547035,0.99093413,0.0010443919,0.006807135,0.000864369,0.000008415278],"about_ca_topic_score_codex":0.0019817462,"about_ca_topic_score_gemma":0.001969549,"teacher_disagreement_score":0.0019817462,"about_ca_system_score_codex":0.0010352564,"about_ca_system_score_gemma":0.00101739,"threshold_uncertainty_score":0.0075113773},"labels":[],"label_agreement":null},{"id":"W4206731724","doi":"10.1109/tvt.2021.3133696","title":"Dynamic Admission Control and Resource Allocation for Mobile Edge Computing Enabled Small Cell Network","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":80,"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 Waterloo","funders":"Beijing Nova Program; Fundo para o Desenvolvimento das Ciências e da Tecnologia; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Mobile edge computing; Computer science; Resource allocation; Server; Distributed computing; Computer network; Wireless network; Queue; Admission control; Edge computing; Enhanced Data Rates for GSM Evolution; Computation; Cellular network; Throughput; Computation offloading; Optimization problem; Wireless; Quality of service; Algorithm","score_opus":0.0066134914343046235,"score_gpt":0.21580413090922537,"score_spread":0.20919063947492075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206731724","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":[0.07507026,0.0006611106,0.91891545,0.0006118739,0.00014137258,0.00010870084,0.00003906347,0.00046404262,0.00398812],"genre_scores_gemma":[0.9814068,0.00017866428,0.017382061,0.00006888063,0.000050185037,0.00005318745,0.000022459382,0.000015127212,0.000822632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988029,0.00030425863,0.000055630248,0.00023335237,0.00030367798,0.00030029006],"domain_scores_gemma":[0.99906284,0.0004878301,0.000121140016,0.00005869144,0.00015146952,0.00011804538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010528298,0.0007784764,0.0008743931,0.0005247871,0.0012135613,0.0013840088,0.0013063549,0.0006851504,0.001057958],"category_scores_gemma":[0.0026319167,0.00023727733,0.00041040286,0.0007340589,0.0009781846,0.0009718067,0.0012886965,0.0012883266,0.00011779154],"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":[0.0002702953,0.00016084324,0.0011734976,0.00004515658,0.000030178087,0.00013982621,0.000121005236,0.91879827,0.0067749736,0.019960925,0.0015753772,0.05094964],"study_design_scores_gemma":[0.000004229485,0.0000101322,0.000050095136,0.0000010996935,0.000002812942,0.000007904997,0.000007809325,0.9979165,0.00035252402,0.0015424364,0.00010087257,0.0000035228336],"about_ca_topic_score_codex":0.011159831,"about_ca_topic_score_gemma":0.008404056,"teacher_disagreement_score":0.011159831,"about_ca_system_score_codex":0.002072185,"about_ca_system_score_gemma":0.0025019883,"threshold_uncertainty_score":0.022189736},"labels":[],"label_agreement":null},{"id":"W4210602752","doi":"10.1109/tvt.2022.3146352","title":"User Pairing and Outage Analysis in Multi-Carrier NOMA-THz Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noma; Telecommunications link; Pairing; Computer science; Transmission (telecommunications); Electronic engineering; Topology (electrical circuits); Moment-generating function; Fading; Nakagami distribution; Terahertz radiation; Multi-user; Computer network; Channel (broadcasting); Physics; Telecommunications; Optoelectronics; Engineering; Mathematics; Probability distribution; Electrical engineering; Statistics","score_opus":0.009444180617230293,"score_gpt":0.21474536158932042,"score_spread":0.20530118097209013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210602752","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":[0.08803222,0.0010040478,0.9028343,0.00030151664,0.000054772816,0.00006202083,0.00013988756,0.00016780314,0.0074034263],"genre_scores_gemma":[0.9745428,0.00079077913,0.022444418,0.000081946,0.000062437786,0.00008554606,0.000057821733,0.000033266413,0.0019010481],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987085,0.0005766219,0.000038143997,0.00011343752,0.00034877265,0.00021457997],"domain_scores_gemma":[0.99710006,0.0018795637,0.00036722346,0.00021564876,0.0003531104,0.000084342304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018715032,0.0009726459,0.00095076585,0.0009239321,0.000854346,0.0011032247,0.0009113307,0.00092621887,0.0014108823],"category_scores_gemma":[0.0061805793,0.00040801783,0.00052808784,0.0011107341,0.0012535714,0.0017851425,0.0013012574,0.0008524586,0.00028739666],"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":[0.00006781383,0.000032079362,0.0013923338,0.00007552276,0.000030882125,0.00042370838,0.00016965711,0.8837747,0.0027478607,0.10338887,0.0006667248,0.007229976],"study_design_scores_gemma":[0.0000020348996,0.000015707827,0.00020715031,0.0000063416956,0.000005335692,0.00008170533,0.000031960277,0.9910438,0.00034990892,0.008016174,0.00023325857,0.0000066854022],"about_ca_topic_score_codex":0.0020942101,"about_ca_topic_score_gemma":0.0013611246,"teacher_disagreement_score":0.0020942101,"about_ca_system_score_codex":0.0015386958,"about_ca_system_score_gemma":0.00077534333,"threshold_uncertainty_score":0.011164069},"labels":[],"label_agreement":null},{"id":"W4210918352","doi":"10.1109/tvt.2022.3148722","title":"Joint Device Pairing, Reflection Coefficients, and Power Control for NOMA Backscatter Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":31,"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":"","keywords":"Backscatter (email); Mathematical optimization; Computer science; Transmitter power output; Pairing; Power (physics); Maximization; Convex optimization; Optimization problem; Multiplexing; Algorithm; Electronic engineering; Mathematics; Wireless; Telecommunications; Regular polygon; Engineering; Transmitter; Physics","score_opus":0.010871928619392252,"score_gpt":0.21111745080995664,"score_spread":0.20024552219056438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210918352","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":[0.02249524,0.00031627496,0.97464967,0.00011477345,0.000029974211,0.000028550767,0.00001330397,0.00009857105,0.0022535298],"genre_scores_gemma":[0.88378555,0.00027244087,0.11361019,0.00008001578,0.000033891993,0.00009582117,0.00002802613,0.00002624631,0.0020678362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919516,0.00033132444,0.000032006774,0.00015424381,0.00018135078,0.00010587847],"domain_scores_gemma":[0.9993026,0.0003838066,0.00013595412,0.00006750678,0.000077712866,0.0000324922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011453142,0.00094435585,0.0010418266,0.0003541692,0.00051070336,0.0009610164,0.000795108,0.00068183395,0.0010980561],"category_scores_gemma":[0.0021286851,0.00040346116,0.00045097477,0.0006568171,0.0008358701,0.0009656349,0.0010553966,0.0007294345,0.00028319698],"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":[0.0001083551,0.00007649245,0.0005348956,0.000068683614,0.0000305108,0.00007995534,0.000090275935,0.92651445,0.0054624453,0.019001342,0.00065910217,0.047373388],"study_design_scores_gemma":[0.0000099292365,0.00003933975,0.00007390364,0.0000039148563,0.000006947847,0.000026236308,0.00001148865,0.9950459,0.000959241,0.0035240126,0.0002939612,0.0000051036272],"about_ca_topic_score_codex":0.0011758439,"about_ca_topic_score_gemma":0.0015614786,"teacher_disagreement_score":0.0011758439,"about_ca_system_score_codex":0.00058635615,"about_ca_system_score_gemma":0.0009728951,"threshold_uncertainty_score":0.0060570836},"labels":[],"label_agreement":null},{"id":"W4213217939","doi":"10.1109/tvt.2022.3150806","title":"Practical Privacy-Preserving Federated Learning in Vehicular Fog Computing","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":60,"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 New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Cloud computing; Overhead (engineering); Scalability; Computer science; Algorithm; Artificial intelligence; Theoretical computer science; Programming language; Database; Operating system","score_opus":0.02780901979576687,"score_gpt":0.287649792703242,"score_spread":0.2598407729074751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213217939","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":[0.022816602,0.00023214733,0.9739291,0.00039806712,0.000035840356,0.000054987482,0.00009813317,0.0003088573,0.0021263354],"genre_scores_gemma":[0.9190742,0.00025145803,0.07836915,0.00020744329,0.000049197817,0.000094523646,0.00014678358,0.000037795344,0.001769401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968978,0.0009049449,0.00016580618,0.0007337414,0.000611397,0.0006863162],"domain_scores_gemma":[0.9970079,0.0014942989,0.00021131628,0.00069166726,0.00040007348,0.00019475687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031781767,0.0007401857,0.0015440367,0.0005543795,0.0011646776,0.0022333134,0.0022200097,0.001813767,0.000973451],"category_scores_gemma":[0.0069509437,0.00042273288,0.0011197696,0.0011003269,0.00151878,0.003513698,0.0033636047,0.0017352344,0.00022341551],"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":[0.000497569,0.00014738488,0.0011999551,0.00015113998,0.00009998396,0.00038193728,0.00029349446,0.71802074,0.0039570965,0.20596734,0.0038301374,0.065453306],"study_design_scores_gemma":[0.000014760305,0.000024500852,0.00006684048,0.0000056366844,0.000007328696,0.000046214525,0.000027407299,0.9324995,0.00097639667,0.065838054,0.00048525425,0.000008192861],"about_ca_topic_score_codex":0.003318754,"about_ca_topic_score_gemma":0.0021749984,"teacher_disagreement_score":0.003318754,"about_ca_system_score_codex":0.002082729,"about_ca_system_score_gemma":0.0028523337,"threshold_uncertainty_score":0.016808033},"labels":[],"label_agreement":null},{"id":"W4213313385","doi":"10.1109/tvt.2022.3151671","title":"Joint Optimization of Trajectory and Resource Allocation for Time-Constrained UAV-Enabled Cognitive Radio Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Air Force Engineering University; Chongqing Municipal Education Commission; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cognitive radio; Joint (building); Trajectory; Resource allocation; Computer science; Trajectory optimization; Resource management (computing); Computer network; Engineering; Wireless; Telecommunications","score_opus":0.005490027205517944,"score_gpt":0.18292785190756905,"score_spread":0.1774378247020511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213313385","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":[0.057137236,0.00041320364,0.93873584,0.00023146528,0.000043123542,0.000045251996,0.00005696571,0.00014877657,0.0031881647],"genre_scores_gemma":[0.94347936,0.0002679016,0.05427255,0.00004692965,0.000015309499,0.00008981234,0.00007196157,0.000037443213,0.001718731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999689,0.00011853655,0.000011531574,0.000050476665,0.0000596625,0.00007079457],"domain_scores_gemma":[0.9993218,0.00041368522,0.000102398124,0.000029940018,0.0000839009,0.00004824649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008846228,0.00089413935,0.00084462797,0.00044953972,0.0004093116,0.00089353125,0.0006587191,0.0007609345,0.0010054796],"category_scores_gemma":[0.0021578264,0.00043316922,0.00042010602,0.0006195997,0.00068749953,0.000692415,0.0008174186,0.0006639928,0.0001433051],"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":[0.000017477156,0.000007592841,0.00011965426,0.000011304457,0.0000071409954,0.000017947481,0.000011220005,0.99497604,0.00024605772,0.0015758727,0.000115520634,0.0028942914],"study_design_scores_gemma":[0.0000025489057,0.00000915129,0.000029808612,0.0000013781705,0.0000016838131,0.0000029053035,0.000004853608,0.99913186,0.00008137335,0.00068015954,0.00005313164,0.0000011011041],"about_ca_topic_score_codex":0.006959909,"about_ca_topic_score_gemma":0.0046015084,"teacher_disagreement_score":0.006959909,"about_ca_system_score_codex":0.0011429982,"about_ca_system_score_gemma":0.0011864111,"threshold_uncertainty_score":0.013838828},"labels":[],"label_agreement":null},{"id":"W4213422352","doi":"10.1109/tvt.2022.3153926","title":"Deep Neural Network-Based Precoder for Fairness Aware Secure NOMA Scheme","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Noma; Artificial noise; Computer science; Scheme (mathematics); Secrecy; Computer network; Signal-to-noise ratio (imaging); Protocol (science); Artificial neural network; Telecommunications link; Telecommunications; Computer security; Mathematics; Transmitter; Artificial intelligence","score_opus":0.01099769090261611,"score_gpt":0.2250731316031965,"score_spread":0.2140754407005804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213422352","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":[0.03449508,0.0004928184,0.957903,0.00039237025,0.00015217482,0.00006522046,0.00007684189,0.0003762306,0.006046187],"genre_scores_gemma":[0.92979145,0.00030413587,0.06426972,0.00021386147,0.000069265116,0.000075766584,0.00006985592,0.000020158144,0.0051857717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990791,0.00027575326,0.000051350547,0.00014766725,0.00023310748,0.00021303399],"domain_scores_gemma":[0.9993864,0.00025708487,0.00007667049,0.00008653001,0.00015304796,0.000040101393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010177289,0.0007196845,0.00069956615,0.0003285567,0.0006999456,0.00087259867,0.0010433329,0.00079483906,0.0022149591],"category_scores_gemma":[0.0018368668,0.00023187778,0.00041480892,0.00037646125,0.00088003546,0.001087505,0.0013118215,0.0012369202,0.00037706847],"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":[0.00063757144,0.00020656153,0.0015453454,0.00019227044,0.00012619773,0.00026696373,0.0001771057,0.70156354,0.022231363,0.08025531,0.0037488453,0.18904893],"study_design_scores_gemma":[0.000014522517,0.00006202389,0.00009369867,0.000008372092,0.000016999265,0.0000506388,0.000009840625,0.9899367,0.0029112091,0.0061507723,0.0007345444,0.000010659102],"about_ca_topic_score_codex":0.002078909,"about_ca_topic_score_gemma":0.0042483513,"teacher_disagreement_score":0.0022149591,"about_ca_system_score_codex":0.00084021373,"about_ca_system_score_gemma":0.0014728141,"threshold_uncertainty_score":0.007409811},"labels":[],"label_agreement":null},{"id":"W4214496626","doi":"10.1109/tvt.2022.3151651","title":"Highway Decision-Making and Motion Planning for Autonomous Driving via Soft Actor-Critic","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Reinforcement learning; Motion planning; Cruise control; Action (physics); Engineering; Optimal control; Motion (physics); Controller (irrigation); Vehicle dynamics; Control (management); Computer science; Simulation; Control engineering; Artificial intelligence; Automotive engineering; Robot","score_opus":0.00642917467920485,"score_gpt":0.22526974420586768,"score_spread":0.21884056952666284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214496626","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":[0.034260627,0.00035147156,0.960684,0.0003408339,0.0000757616,0.000035375368,0.00003269173,0.00027597373,0.0039432626],"genre_scores_gemma":[0.968151,0.00012813322,0.029317137,0.00010509618,0.000025676154,0.00007523079,0.000055969995,0.000029503173,0.0021124498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967647,0.00009675381,0.000014340015,0.000085947664,0.00006794262,0.000058600934],"domain_scores_gemma":[0.9991518,0.0005069718,0.00010063132,0.000030600542,0.00014087501,0.0000690261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008117823,0.00100625,0.0007931031,0.0002658341,0.0003421424,0.00066101295,0.00083140854,0.0009242433,0.0013681041],"category_scores_gemma":[0.0016287318,0.0004927203,0.0004686331,0.00021439535,0.0009221823,0.0005743571,0.00079627417,0.0014862884,0.00020105015],"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":[0.00003522636,0.000014757478,0.000263964,0.000025632635,0.00001679132,0.00004603677,0.000024663877,0.99062353,0.0005831477,0.0030838628,0.00023623588,0.0050461143],"study_design_scores_gemma":[0.0000033796111,0.0000059762756,0.000022159984,0.0000011861899,0.000001934784,0.0000019107135,0.0000015273657,0.99922395,0.000068194124,0.000617866,0.00005088727,0.0000011238088],"about_ca_topic_score_codex":0.008358331,"about_ca_topic_score_gemma":0.006551746,"teacher_disagreement_score":0.008358331,"about_ca_system_score_codex":0.00086869835,"about_ca_system_score_gemma":0.0013442566,"threshold_uncertainty_score":0.016619384},"labels":[],"label_agreement":null},{"id":"W4214571564","doi":"10.1109/tvt.2022.3155111","title":"Impact of Finite-Resolution Precoding and Limited Feedback on Rates of IRS Based mmWave Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Precoding; Spectral efficiency; Codebook; Zero-forcing precoding; Channel state information; Electronic engineering; Computer science; Channel (broadcasting); Base station; Control theory (sociology); Topology (electrical circuits); Engineering; MIMO; Wireless; Telecommunications; Algorithm; Electrical engineering","score_opus":0.016057320579665853,"score_gpt":0.24905429901634643,"score_spread":0.23299697843668057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214571564","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":[0.27410275,0.003785753,0.699831,0.0008750431,0.00016551455,0.0000922664,0.00031875147,0.00082578626,0.02000306],"genre_scores_gemma":[0.9788638,0.001086003,0.018286329,0.000087868866,0.000029351431,0.00006353267,0.00008418429,0.00006898163,0.0014299236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733293,0.0008114032,0.000088828034,0.00024658785,0.0010064816,0.000513776],"domain_scores_gemma":[0.9848267,0.010829672,0.0011779565,0.0012805206,0.0016885698,0.00019651621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028983073,0.0011463363,0.000887981,0.00060965697,0.00065625086,0.0017428097,0.0014089892,0.000800151,0.0019968639],"category_scores_gemma":[0.020408917,0.0004395929,0.0003556949,0.00073315244,0.0016026999,0.0029604337,0.0016611132,0.0012459038,0.0004617194],"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":[0.00037395762,0.000108655506,0.001994586,0.0001948388,0.000039295755,0.00033170058,0.00021561138,0.890768,0.017862465,0.04494597,0.0011376151,0.042027257],"study_design_scores_gemma":[0.000009746557,0.00010974838,0.00056477834,0.000048819635,0.000019249017,0.00024380296,0.00011571846,0.9774359,0.01383312,0.0070931627,0.00049913157,0.000026802101],"about_ca_topic_score_codex":0.002648597,"about_ca_topic_score_gemma":0.0023808766,"teacher_disagreement_score":0.0028983073,"about_ca_system_score_codex":0.0018978566,"about_ca_system_score_gemma":0.0012777707,"threshold_uncertainty_score":0.015327871},"labels":[],"label_agreement":null},{"id":"W4214912010","doi":"10.1109/tvt.2022.3155707","title":"Transmit or Backscatter: Communication Mode Selection for Narrowband IoT Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","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":"University of British Columbia","funders":"","keywords":"Narrowband; Computer science; Transmission (telecommunications); Backscatter (email); Base station; Electronic engineering; Computer network; Wireless; Engineering; Telecommunications","score_opus":0.010916729974785712,"score_gpt":0.22572276161240548,"score_spread":0.21480603163761977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214912010","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":[0.034505777,0.0004132098,0.96064425,0.0002202021,0.000057696692,0.00008043861,0.000049885395,0.00034325136,0.003685246],"genre_scores_gemma":[0.7474621,0.00044011077,0.2475783,0.00018113136,0.00009157711,0.00020650214,0.00013185306,0.000055198918,0.0038531565],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964666,0.00012332396,0.00001546269,0.00006929383,0.000094663395,0.00005060264],"domain_scores_gemma":[0.99964035,0.0001646001,0.000058095353,0.000044312845,0.00006294654,0.000029645726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003816907,0.00058011437,0.00040947512,0.000372836,0.0005265208,0.0005371639,0.00050761935,0.00036449172,0.0020249295],"category_scores_gemma":[0.001114244,0.00019814055,0.00025646083,0.00033302882,0.00035878707,0.0005764076,0.0006046379,0.00043186898,0.00051467936],"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":[0.0005109719,0.00022280333,0.0034482023,0.00021407467,0.000066123226,0.00027184465,0.0002592043,0.25087133,0.05503757,0.025413383,0.008520095,0.6551644],"study_design_scores_gemma":[0.00003657694,0.00011794531,0.0006123408,0.000018022964,0.000020109539,0.00025494272,0.00005535825,0.9779243,0.0083097,0.009330848,0.0033007697,0.000019214238],"about_ca_topic_score_codex":0.00074333797,"about_ca_topic_score_gemma":0.001776609,"teacher_disagreement_score":0.0020249295,"about_ca_system_score_codex":0.00026268198,"about_ca_system_score_gemma":0.0005312615,"threshold_uncertainty_score":0.0067740083},"labels":[],"label_agreement":null},{"id":"W4220772872","doi":"10.1109/tvt.2022.3162197","title":"An SCA and Relaxation Based Energy Efficiency Optimization for Multi-User RIS-Assisted NOMA Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Beamforming; Mathematical optimization; Efficient energy use; Optimization problem; Computer science; Spectral efficiency; Convex optimization; Relaxation (psychology); Wireless; Interference (communication); Noma; Energy (signal processing); Energy consumption; Transmission (telecommunications); Regular polygon; Algorithm; Mathematics; Engineering; Telecommunications; Electrical engineering; Channel (broadcasting); Telecommunications link","score_opus":0.012374038498582053,"score_gpt":0.23344105287394448,"score_spread":0.22106701437536244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220772872","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":[0.01635514,0.00028561635,0.98008144,0.0001303533,0.000030956133,0.000019373203,0.000018235038,0.000079082885,0.0029997882],"genre_scores_gemma":[0.8036181,0.0006103073,0.19091073,0.00012807385,0.000080032456,0.00014902903,0.00008777599,0.000050647595,0.004365384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996731,0.00013783111,0.000010130414,0.000046568006,0.000086990694,0.00004536652],"domain_scores_gemma":[0.99973994,0.00014346569,0.000038652357,0.000018910663,0.000043181215,0.000015883437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052843883,0.0008039139,0.0005946661,0.00027034947,0.00026782835,0.000544059,0.00055934,0.00048025418,0.0010439329],"category_scores_gemma":[0.0008420451,0.00032263238,0.00057026703,0.00046845397,0.00057468156,0.00061424944,0.0006476343,0.0007915855,0.00022466728],"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":[0.00008096602,0.00004250758,0.0003135671,0.00005682092,0.0000314905,0.00006212932,0.00004140592,0.9508132,0.0059706983,0.013785046,0.001054125,0.027748048],"study_design_scores_gemma":[0.000003402294,0.000022066479,0.000029687662,0.0000013901548,0.0000022027023,0.000009890335,0.00000329534,0.9985934,0.00038105957,0.0007494154,0.00020185261,0.0000023075868],"about_ca_topic_score_codex":0.0017523742,"about_ca_topic_score_gemma":0.0018205019,"teacher_disagreement_score":0.0017523742,"about_ca_system_score_codex":0.0005170048,"about_ca_system_score_gemma":0.00078524795,"threshold_uncertainty_score":0.0037512183},"labels":[],"label_agreement":null},{"id":"W4220782304","doi":"10.1109/tvt.2022.3162018","title":"Partial Self-Concatenation Structure and Performance Analysis of Spinal Codes Over Rayleigh Fading Channel","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Concatenation (mathematics); Additive white Gaussian noise; Fading; Channel (broadcasting); Rayleigh fading; Algorithm; Notation; Mathematics; Computer science; Telecommunications; Arithmetic","score_opus":0.014395887326761695,"score_gpt":0.24563591972064533,"score_spread":0.23124003239388363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220782304","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":[0.2674264,0.0022890694,0.7141755,0.0005017154,0.000102394406,0.00010270786,0.000413829,0.00089445687,0.014093853],"genre_scores_gemma":[0.9576103,0.0010846535,0.03818051,0.000081773316,0.000071516915,0.000071760674,0.00032000255,0.000047921094,0.0025316775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983473,0.00045253005,0.00007132273,0.00016542515,0.0006504406,0.00031309956],"domain_scores_gemma":[0.99344796,0.0027277095,0.0009057413,0.0006965586,0.0020384234,0.00018359217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011604821,0.0011508267,0.0006984946,0.0010623129,0.0007951993,0.00078069285,0.0006780034,0.00065454346,0.0015002663],"category_scores_gemma":[0.0061540445,0.00027675807,0.00045452797,0.0012120664,0.0012717079,0.0011109096,0.0011553961,0.0006971516,0.0005241118],"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":[0.0005903062,0.00004817895,0.0036224632,0.00019115098,0.00008591505,0.00035837325,0.00040210993,0.82830024,0.020428766,0.07012201,0.001764902,0.074085556],"study_design_scores_gemma":[0.00001042497,0.0001846181,0.0006228024,0.000021433409,0.00002358885,0.00021546817,0.00004425323,0.98177296,0.008058901,0.00813299,0.000872649,0.00003986281],"about_ca_topic_score_codex":0.0069409455,"about_ca_topic_score_gemma":0.003800172,"teacher_disagreement_score":0.0069409455,"about_ca_system_score_codex":0.0013753388,"about_ca_system_score_gemma":0.0019431517,"threshold_uncertainty_score":0.013801038},"labels":[],"label_agreement":null},{"id":"W4220908458","doi":"10.1109/tvt.2022.3162044","title":"Reconfigurable Intelligent Surface-Assisted Secure Mobile Edge Computing Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":130,"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; University of Windsor","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China; Nanyang Technological University","keywords":"Mobile edge computing; Computer science; Beamforming; Benchmark (surveying); Optimization problem; Wireless; Edge computing; Transmitter power output; Distributed computing; Mathematical optimization; Channel (broadcasting); Enhanced Data Rates for GSM Evolution; Computer network; Server; Algorithm; Transmitter; Mathematics","score_opus":0.011900547970990702,"score_gpt":0.2280452789504861,"score_spread":0.21614473097949538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220908458","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":[0.08738317,0.0002945428,0.89973855,0.00018132485,0.000059998,0.000027692267,0.000040160965,0.0004301587,0.011844497],"genre_scores_gemma":[0.91784424,0.00017598446,0.07911533,0.00007077326,0.000013341218,0.00004247896,0.00005395943,0.000028455508,0.0026554356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987555,0.000025160209,0.0000035834237,0.000024968887,0.00004444585,0.000026216727],"domain_scores_gemma":[0.9999105,0.000030445673,0.000015872685,0.00001841534,0.000017506489,0.000007269179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011967113,0.0004257705,0.0003460063,0.00016818367,0.00022403988,0.0004592199,0.00054291054,0.00033502004,0.0012509199],"category_scores_gemma":[0.00033821407,0.000120023,0.00023894804,0.00026438097,0.00038586324,0.0006496298,0.0006124863,0.0003799548,0.00029301422],"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":[0.000116383686,0.00003752255,0.00054742146,0.00005219137,0.000019281753,0.00015466093,0.00005674031,0.8708329,0.036699917,0.021738091,0.0013064529,0.06843841],"study_design_scores_gemma":[0.000002787077,0.000025241616,0.000051468392,0.0000014166495,0.0000018469792,0.000016807391,0.000006976632,0.99518096,0.0023472845,0.0017281977,0.0006340197,0.0000029845498],"about_ca_topic_score_codex":0.00071519293,"about_ca_topic_score_gemma":0.0011407868,"teacher_disagreement_score":0.0012509199,"about_ca_system_score_codex":0.0003316556,"about_ca_system_score_gemma":0.00026124512,"threshold_uncertainty_score":0.0041847825},"labels":[],"label_agreement":null},{"id":"W4221138932","doi":"10.1109/tvt.2022.3199677","title":"A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks With Transient Data","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Reinforcement learning; Cache; Computer network; Energy consumption; Quality of service; Enhanced Data Rates for GSM Evolution; Distributed computing; Scheme (mathematics); Edge computing; Transient (computer programming); Internet of Things; Efficient energy use; Artificial intelligence; Embedded system; Engineering","score_opus":0.02363732700672317,"score_gpt":0.23777767269035438,"score_spread":0.21414034568363122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221138932","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":[0.053511135,0.00066799956,0.9415496,0.00035082767,0.00009190282,0.000047043337,0.00006166475,0.0007484594,0.0029714052],"genre_scores_gemma":[0.9563375,0.00018459532,0.040296983,0.00020954589,0.00003249854,0.000065673405,0.00008734664,0.000038429826,0.002747465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997559,0.000048032158,0.000015870351,0.00006372495,0.000050752296,0.00006571306],"domain_scores_gemma":[0.99935216,0.00026170004,0.00007940796,0.000047918253,0.00019447468,0.00006437513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006097168,0.00056704675,0.00093801005,0.00029882556,0.00034221646,0.00051663583,0.0014457895,0.0007885461,0.001378788],"category_scores_gemma":[0.0017801387,0.00025402824,0.00037576264,0.00037881333,0.00052550394,0.0009305315,0.00065751135,0.00079981185,0.00022734751],"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":[0.00015057495,0.00013214869,0.001492044,0.00007767673,0.000045673896,0.00011465445,0.00006585413,0.8953986,0.0039646993,0.006417887,0.0027979722,0.08934224],"study_design_scores_gemma":[0.0000048781053,0.000013029522,0.000041521784,0.000002002463,0.000003612069,0.0000065984395,0.0000026286955,0.99901175,0.0001776986,0.0006425815,0.00009159056,0.0000020849125],"about_ca_topic_score_codex":0.011169033,"about_ca_topic_score_gemma":0.010676887,"teacher_disagreement_score":0.011169033,"about_ca_system_score_codex":0.0010406049,"about_ca_system_score_gemma":0.0012897116,"threshold_uncertainty_score":0.022208095},"labels":[],"label_agreement":null},{"id":"W4221145424","doi":"10.1109/tvt.2022.3161585","title":"Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":56,"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 Guelph","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Platoon; Reinforcement learning; Computer science; Control (management); Reinforcement; Artificial intelligence; Engineering; Human–computer interaction","score_opus":0.004207769459745525,"score_gpt":0.174677556765472,"score_spread":0.17046978730572648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221145424","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":[0.072589085,0.00035612297,0.92129123,0.00036094364,0.00007826191,0.00004060775,0.00005726381,0.00033337006,0.004893171],"genre_scores_gemma":[0.98931,0.00007239339,0.009470254,0.00004856306,0.000015517482,0.000026942707,0.000029833554,0.000011589816,0.0010148798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995977,0.00009814515,0.00001698955,0.000085104744,0.00008318817,0.00011883631],"domain_scores_gemma":[0.9984326,0.000949135,0.00022712309,0.00008160664,0.00021508483,0.000094447045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009986165,0.00074665237,0.0009359983,0.0002616851,0.00035720214,0.00085499993,0.00077665586,0.00066311914,0.0015513557],"category_scores_gemma":[0.00262241,0.00031623695,0.0003186587,0.0002971134,0.00087633275,0.00084795913,0.00136993,0.001243754,0.00015323533],"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":[0.00005502604,0.000020524212,0.00031190435,0.00002406465,0.000012629211,0.0000352033,0.000026204094,0.9840694,0.0009176029,0.003821913,0.00023889665,0.010466635],"study_design_scores_gemma":[0.0000025555858,0.000014160397,0.000032012937,0.000001471893,0.0000016325095,0.000002580522,0.0000022116856,0.99897975,0.00013754689,0.0007773712,0.0000474487,0.0000012846345],"about_ca_topic_score_codex":0.0072582234,"about_ca_topic_score_gemma":0.004502556,"teacher_disagreement_score":0.0072582234,"about_ca_system_score_codex":0.00076685235,"about_ca_system_score_gemma":0.0012521954,"threshold_uncertainty_score":0.014431953},"labels":[],"label_agreement":null},{"id":"W4221146354","doi":"10.1109/tvt.2022.3193074","title":"Distributed Online Anomaly Detection for Virtualized Network Slicing Environment","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":33,"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":"Chongqing Municipal Education Commission; National Natural Science Foundation of China","keywords":"Anomaly detection; Computer science; Anomaly (physics); Node (physics); Slicing; Distributed computing; Data mining; Real-time computing; Engineering","score_opus":0.009721216181153226,"score_gpt":0.21367978354457973,"score_spread":0.2039585673634265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221146354","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":[0.053599875,0.0001757855,0.9442994,0.00014783282,0.000044459826,0.000027053953,0.00004928933,0.001140674,0.00051563745],"genre_scores_gemma":[0.91392094,0.00009108318,0.084977895,0.00007178811,0.000033037006,0.00004591951,0.00016150324,0.000051967763,0.0006460062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991295,0.00017655882,0.000038998987,0.00029396193,0.000254725,0.00010629876],"domain_scores_gemma":[0.9984572,0.0004961751,0.00031683242,0.00020142877,0.00041942386,0.00010890346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075695163,0.0008118818,0.0009358783,0.0005761442,0.00041002373,0.00074177055,0.0012846813,0.0006034226,0.00049112487],"category_scores_gemma":[0.002867299,0.0002607554,0.00040657233,0.0005622041,0.0005945108,0.0012830585,0.0009865772,0.000973983,0.00011670937],"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":[0.0002547385,0.00011011118,0.005642482,0.00008504133,0.000080319565,0.0002925378,0.00014067594,0.77931005,0.014385798,0.005105086,0.0020793898,0.1925138],"study_design_scores_gemma":[0.000002833042,0.000011729638,0.00018479067,8.396704e-7,0.0000023737027,0.000018499883,0.0000066907883,0.9980211,0.0007324682,0.0009155443,0.000100570556,0.0000026135172],"about_ca_topic_score_codex":0.0044471677,"about_ca_topic_score_gemma":0.003082228,"teacher_disagreement_score":0.0044471677,"about_ca_system_score_codex":0.00072962465,"about_ca_system_score_gemma":0.00094865693,"threshold_uncertainty_score":0.008842528},"labels":[],"label_agreement":null},{"id":"W4225510855","doi":"10.1109/tvt.2022.3156388","title":"Performance of Vertical Underwater Wireless Optical Communications With Cascaded Layered Modeling","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":38,"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, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Ergodic theory; Probability density function; Channel (broadcasting); Underwater; Exponential function; Wireless; Bit error rate; Gamma distribution; Monte Carlo method; Exponential distribution; Signal-to-noise ratio (imaging); Computer science; Statistical physics; Electronic engineering; Applied mathematics; Mathematics; Physics; Mathematical analysis; Telecommunications; Engineering; Statistics","score_opus":0.017837627828583752,"score_gpt":0.21905447208205373,"score_spread":0.20121684425346997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225510855","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":[0.7794048,0.0009180514,0.20987274,0.00032433905,0.000057385627,0.00004688317,0.00019242751,0.00039741505,0.008785915],"genre_scores_gemma":[0.99441355,0.00016937494,0.0045709717,0.000023767458,0.000007574739,0.000012047403,0.000035028042,0.000007728602,0.00075995247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993291,0.0001454406,0.00002267858,0.0000873022,0.00020954416,0.00020602376],"domain_scores_gemma":[0.99871397,0.0005837951,0.00025200547,0.000080065285,0.0003113731,0.000058750113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006557673,0.0011407167,0.000571857,0.00046395554,0.00063257804,0.000767488,0.00082453596,0.00089148217,0.0008042096],"category_scores_gemma":[0.0018193653,0.000358328,0.00047941325,0.0006152206,0.0008545838,0.0011714647,0.0013757849,0.00056035334,0.00016408216],"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":[0.00024956663,0.0000479523,0.0021964384,0.00006999224,0.000044635548,0.00021300704,0.00007923132,0.96712923,0.015439623,0.005137724,0.00030006625,0.009092474],"study_design_scores_gemma":[0.0000027036735,0.00004239158,0.0001516298,0.0000032496043,0.000006979156,0.000017587712,0.000014320926,0.997846,0.001441344,0.00041607965,0.000049042745,0.000008641686],"about_ca_topic_score_codex":0.01553771,"about_ca_topic_score_gemma":0.008419253,"teacher_disagreement_score":0.01553771,"about_ca_system_score_codex":0.0013027001,"about_ca_system_score_gemma":0.0009991123,"threshold_uncertainty_score":0.030894518},"labels":[],"label_agreement":null},{"id":"W4225592994","doi":"10.1109/tvt.2022.3163312","title":"Outage Analysis of Multi-Relay NOMA-Based Hybrid Satellite-Terrestrial Relay Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Selection (genetic algorithm); Computer science; Satellite; Notation; Communications satellite; Computer network; Topology (electrical circuits); Theoretical computer science; Mathematics; Engineering; Artificial intelligence; Electrical engineering; Power (physics); Arithmetic","score_opus":0.0179892194244541,"score_gpt":0.23505914586407967,"score_spread":0.21706992643962555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225592994","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":[0.40893978,0.002795202,0.57522136,0.00041319986,0.00005855057,0.000049162725,0.00037507562,0.0003410588,0.011806659],"genre_scores_gemma":[0.9949557,0.0005032577,0.0037473263,0.000019203753,0.000025006893,0.000017897613,0.00006007481,0.000012784092,0.0006586843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999038,0.00042858993,0.00003666146,0.000112161484,0.00023531198,0.00014932753],"domain_scores_gemma":[0.99641573,0.002457483,0.00039450024,0.00016202845,0.00048521024,0.000084982654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014156637,0.00080176874,0.00090862345,0.00067608635,0.00045071583,0.00088982604,0.0007762771,0.0006713783,0.0011617623],"category_scores_gemma":[0.004462398,0.0003054817,0.00035561877,0.00082974375,0.001018238,0.0009423483,0.00086130307,0.00042961494,0.00022100237],"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":[0.00014100845,0.000015719133,0.0015295123,0.00009006236,0.00004417555,0.00036055705,0.000111302244,0.97518843,0.0029224318,0.013479087,0.0004871542,0.0056305304],"study_design_scores_gemma":[0.0000033383105,0.000020193835,0.00033946914,0.000004342922,0.000009445913,0.00006324977,0.000022565198,0.99738735,0.00024552536,0.0018141014,0.00008552553,0.000004978292],"about_ca_topic_score_codex":0.0042563593,"about_ca_topic_score_gemma":0.0022757645,"teacher_disagreement_score":0.0042563593,"about_ca_system_score_codex":0.0015015767,"about_ca_system_score_gemma":0.00049961935,"threshold_uncertainty_score":0.010894716},"labels":[],"label_agreement":null},{"id":"W4225636426","doi":"10.1109/tvt.2022.3224926","title":"Energy-Efficient Design for a NOMA Assisted STAR-RIS Network With Deep Reinforcement Learning","year":2022,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"China Scholarship Council","keywords":"Reinforcement learning; Telecommunications link; Computer science; Maximization; Base station; Beamforming; Star (game theory); Mathematical optimization; Transmission (telecommunications); Efficient energy use; Energy (signal processing); Wireless; Wireless network; Noma; Algorithm; Computer network; Engineering; Telecommunications; Mathematics; Artificial intelligence; Electrical engineering","score_opus":0.018030847505425263,"score_gpt":0.23058780407908216,"score_spread":0.2125569565736569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225636426","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":[0.027409174,0.0002962368,0.96606165,0.0002962614,0.000057002304,0.000043161454,0.000047596917,0.00024485856,0.0055440073],"genre_scores_gemma":[0.9339327,0.00020025675,0.061049763,0.0002194864,0.00003249153,0.00012615492,0.00007578509,0.00003430553,0.004329115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966335,0.00008943497,0.0000110966,0.00008516286,0.00007055975,0.00008037323],"domain_scores_gemma":[0.9994566,0.00024741265,0.00007614871,0.000025223791,0.00015035257,0.000044273187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006006108,0.00084507186,0.0008457425,0.00031410687,0.0003588237,0.0008657694,0.00129193,0.0009777867,0.002298243],"category_scores_gemma":[0.0013321406,0.00040625696,0.00040223764,0.00033637715,0.0007981357,0.0007260162,0.000996312,0.0010026428,0.00042821027],"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":[0.00007871291,0.00004768855,0.0005275086,0.000042891563,0.000026565644,0.00008238444,0.000040130297,0.96413136,0.0026869413,0.006690208,0.0009872825,0.024658395],"study_design_scores_gemma":[0.0000032835785,0.000015742626,0.000023024088,0.0000018558378,0.0000027360625,0.0000063319503,0.0000038608773,0.9990495,0.0001607962,0.0006260867,0.000105061044,0.0000016775422],"about_ca_topic_score_codex":0.0043380978,"about_ca_topic_score_gemma":0.0059409994,"teacher_disagreement_score":0.0043380978,"about_ca_system_score_codex":0.001008885,"about_ca_system_score_gemma":0.0011255982,"threshold_uncertainty_score":0.008625686},"labels":[],"label_agreement":null},{"id":"W4225716271","doi":"10.1109/tvt.2022.3167861","title":"Non-Orthogonal Multiple Access Assisted Secure Computation Offloading via Cooperative Jamming","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":46,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade de Macau; National Natural Science Foundation of China","keywords":"Jamming; Computer science; Computer network; Computation offloading; Computation; Embedded system; Algorithm; Physics; Edge computing","score_opus":0.015321846336082594,"score_gpt":0.25498242705837115,"score_spread":0.23966058072228855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225716271","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":[0.08693684,0.00052637636,0.901522,0.00027110745,0.00007399453,0.000055134104,0.000026467258,0.00008898774,0.010499072],"genre_scores_gemma":[0.9782365,0.000287552,0.01919926,0.00006375869,0.000027477981,0.000043492593,0.000010713247,0.000012565901,0.0021186604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991511,0.0002701971,0.000026857386,0.00012260009,0.00023384862,0.00019551328],"domain_scores_gemma":[0.99920315,0.00041678545,0.00014517701,0.0000840972,0.000108139684,0.000042633998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007326123,0.0009169351,0.00068154576,0.0003383195,0.00054551085,0.0009395141,0.00069409184,0.00067637285,0.0011411227],"category_scores_gemma":[0.0014048357,0.0002632087,0.00055165647,0.0005610649,0.001206423,0.0012915572,0.0011601184,0.0006472141,0.00024671553],"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":[0.0002793252,0.000120639146,0.0014246462,0.00020078884,0.000080679376,0.00078959967,0.0002757576,0.8335435,0.031393424,0.1071059,0.00077784224,0.024008015],"study_design_scores_gemma":[0.0000060198126,0.00004776161,0.00011275655,0.0000050676535,0.000009211117,0.000069583184,0.000038538066,0.9920477,0.0013906423,0.0059500574,0.00031487452,0.000007713584],"about_ca_topic_score_codex":0.0008848816,"about_ca_topic_score_gemma":0.0008808605,"teacher_disagreement_score":0.0011411227,"about_ca_system_score_codex":0.00057093136,"about_ca_system_score_gemma":0.00061580306,"threshold_uncertainty_score":0.004142463},"labels":[],"label_agreement":null},{"id":"W4225937308","doi":"10.1109/tvt.2022.3167892","title":"A Multi-User Tasks Offloading Scheme for Integrated Edge-Fog-Cloud Computing Environments","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":44,"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 Manitoba; Concordia University","funders":"University of Pretoria","keywords":"Computer science; Edge computing; Computation offloading; Cloud computing; Mobile edge computing; Enhanced Data Rates for GSM Evolution; Queueing theory; Distributed computing; Task (project management); Application layer; Layer (electronics); Computation; Wireless; Quality of service; Queue; Edge device; Computer network; Operating system; Algorithm; Engineering","score_opus":0.016624534997436154,"score_gpt":0.24183121918375722,"score_spread":0.22520668418632106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225937308","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":[0.08391783,0.00042055297,0.9102092,0.00013213311,0.00013105133,0.00015268127,0.00006387267,0.00058695424,0.0043857177],"genre_scores_gemma":[0.9123066,0.00017929934,0.08534036,0.000081800616,0.00004699628,0.000055173674,0.00005678042,0.00004895651,0.0018841048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960583,0.00005443424,0.000016877775,0.00008656873,0.00010144935,0.00013487902],"domain_scores_gemma":[0.9996995,0.000061254745,0.000023822397,0.00006429956,0.00008301982,0.00006807021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040742708,0.00061526865,0.00069523044,0.00032649614,0.00092992705,0.00084967096,0.001233644,0.00047311076,0.0011198289],"category_scores_gemma":[0.0007067784,0.00019498746,0.0004510674,0.0004239969,0.0003921586,0.0010591995,0.0010777849,0.00071305834,0.0002346637],"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":[0.0009378984,0.00063271204,0.0033934237,0.0002983133,0.00013687417,0.0011002307,0.0005161522,0.6133816,0.09363052,0.06283083,0.008258746,0.2148826],"study_design_scores_gemma":[0.0000074113664,0.00006953334,0.00038654523,0.0000053804697,0.000013717843,0.000083686646,0.000036098572,0.99267274,0.0024216839,0.002901882,0.0013884291,0.000012852796],"about_ca_topic_score_codex":0.00511946,"about_ca_topic_score_gemma":0.008125635,"teacher_disagreement_score":0.00511946,"about_ca_system_score_codex":0.0007173841,"about_ca_system_score_gemma":0.0012087632,"threshold_uncertainty_score":0.010179341},"labels":[],"label_agreement":null},{"id":"W4226033290","doi":"10.1109/tvt.2021.3132558","title":"A Multi-Vehicle Longitudinal Trajectory Collision Avoidance Strategy Using AEBS With Vehicle-Infrastructure Communication","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":37,"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":"Engineering and Physical Sciences Research Council; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Collision avoidance; Controller (irrigation); Vehicle dynamics; Trajectory; Automotive engineering; Collision; Computer science; Key (lock); Active safety; Engineering; Real-time computing; Computer security","score_opus":0.011842494674657138,"score_gpt":0.2233385433656603,"score_spread":0.21149604869100316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226033290","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":[0.10142136,0.0003461171,0.8905095,0.00015039352,0.00008102428,0.000081952014,0.000038623402,0.0006550296,0.006715907],"genre_scores_gemma":[0.972852,0.0000917134,0.024057955,0.000034668854,0.000015596966,0.00005197992,0.000055067496,0.000008016221,0.0028331548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980265,0.000024317638,0.00001089165,0.000055050183,0.00007211272,0.000035045126],"domain_scores_gemma":[0.9998204,0.000019732663,0.000042447682,0.000018505136,0.00007384934,0.000025019568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014458239,0.0005366906,0.00037896185,0.0003561803,0.0004369394,0.0003537811,0.0008668094,0.00033716267,0.0011751015],"category_scores_gemma":[0.00026270802,0.00014582432,0.0002627689,0.00023999672,0.00019364696,0.00046859446,0.0007869645,0.00038080732,0.0003453309],"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":[0.00048615804,0.00026403973,0.004493674,0.00027020616,0.000113228954,0.0006093649,0.00036611,0.52194446,0.14183888,0.011532513,0.0026913544,0.31538996],"study_design_scores_gemma":[0.00003374427,0.00048982434,0.0014199897,0.00001327715,0.000028739234,0.00021297074,0.000071542425,0.98206353,0.010942635,0.0013501962,0.0033542248,0.000019410476],"about_ca_topic_score_codex":0.0034319581,"about_ca_topic_score_gemma":0.0030521266,"teacher_disagreement_score":0.0034319581,"about_ca_system_score_codex":0.00020872401,"about_ca_system_score_gemma":0.00053536065,"threshold_uncertainty_score":0.006823957},"labels":[],"label_agreement":null},{"id":"W4226068943","doi":"10.1109/tvt.2022.3166987","title":"Agent-Based Model Predictive Controller (AMPC) for Vehicular Stability With Experimental Results","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":8,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Model predictive control; Scalability; Automotive industry; Engineering; Scheme (mathematics); Stability (learning theory); Actuator; Vehicle dynamics; Usability; Control engineering; Controller (irrigation); Control (management); Electronic stability control; Control theory (sociology); Computer science; Automotive engineering; Artificial intelligence","score_opus":0.009670001554852203,"score_gpt":0.20221763350515018,"score_spread":0.19254763195029798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226068943","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":[0.7062171,0.0010481963,0.2656674,0.00035345482,0.00024808958,0.0003395607,0.0007496367,0.0025964617,0.022780115],"genre_scores_gemma":[0.98862237,0.000087818415,0.0099880025,0.000009937109,0.0000054257307,0.00007617611,0.00018124851,0.000020095194,0.0010088977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958247,0.00008505849,0.000020252584,0.0000479699,0.00020566762,0.000058578997],"domain_scores_gemma":[0.9991667,0.00020742916,0.00006912799,0.00017089787,0.00034653104,0.000039336548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079870026,0.0005623568,0.00035342545,0.0004467244,0.0004079383,0.0004816699,0.0007118379,0.0005489845,0.0025769682],"category_scores_gemma":[0.0012572514,0.0001593919,0.00027769108,0.00031040327,0.00043766494,0.00036641522,0.0005475996,0.0007883193,0.00042130594],"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":[0.0006569248,0.001070633,0.002866567,0.0005806576,0.000082030405,0.00028361726,0.00020331415,0.8542432,0.06753452,0.006422622,0.0022439267,0.063812],"study_design_scores_gemma":[0.00008037772,0.0009777016,0.0012619471,0.0000191903,0.00002666989,0.000030046393,0.00007702277,0.91832525,0.07493953,0.0016845757,0.002552963,0.000024758612],"about_ca_topic_score_codex":0.003619929,"about_ca_topic_score_gemma":0.0024307359,"teacher_disagreement_score":0.003619929,"about_ca_system_score_codex":0.00039098068,"about_ca_system_score_gemma":0.00045548606,"threshold_uncertainty_score":0.008620858},"labels":[],"label_agreement":null},{"id":"W4226093231","doi":"10.1109/tvt.2022.3165172","title":"Intelligence Networking for Autonomous Driving in Beyond 5G Networks With Multi-Access Edge Computing","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":37,"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","keywords":"Computer science; Upload; Enhanced Data Rates for GSM Evolution; Edge computing; Artificial neural network; Curse of dimensionality; Artificial intelligence; Scheme (mathematics); Distributed computing; Real-time computing","score_opus":0.0211958398522331,"score_gpt":0.2790304076852188,"score_spread":0.2578345678329857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226093231","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":[0.14177616,0.002281155,0.82366896,0.002778491,0.0006295777,0.00014636396,0.00037118475,0.0030108977,0.025337225],"genre_scores_gemma":[0.9595352,0.00037192972,0.037107162,0.00032348593,0.000064593856,0.00004608103,0.00022912811,0.000029596022,0.0022927828],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979883,0.000036301968,0.000008646015,0.000052915904,0.00004097468,0.00006229181],"domain_scores_gemma":[0.9998264,0.0000411889,0.00001467388,0.00003778279,0.000060278922,0.000019710402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027507133,0.0005352004,0.00033925715,0.00038415784,0.00062669,0.0007350312,0.0008367862,0.00054596027,0.0012430542],"category_scores_gemma":[0.0005703714,0.00012969451,0.00026499422,0.0004005691,0.00032415576,0.0016277226,0.0010828869,0.00077379256,0.00031936858],"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":[0.0004722226,0.0003518422,0.008786037,0.00019819231,0.00009938742,0.0010984521,0.0004166543,0.31737283,0.023134068,0.061103564,0.03293599,0.5540308],"study_design_scores_gemma":[0.000008555392,0.0000680481,0.0007569353,0.000011693477,0.00001763776,0.000140264,0.00007559722,0.97357845,0.002961119,0.0149317095,0.0074345106,0.000015592053],"about_ca_topic_score_codex":0.0068802284,"about_ca_topic_score_gemma":0.011331578,"teacher_disagreement_score":0.0068802284,"about_ca_system_score_codex":0.00052363967,"about_ca_system_score_gemma":0.00053099165,"threshold_uncertainty_score":0.013680339},"labels":[],"label_agreement":null},{"id":"W4226197395","doi":"10.1109/tvt.2022.3204839","title":"Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":122,"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 Waterloo","funders":"Agencia de Innovación y Desarrollo de Andalucía; Science, Technology and Innovation Commission of Shenzhen Municipality; China Scholarship Council; Ministry of Education, India; Info-communications Media Development Authority; National Research Foundation Singapore; National Natural Science Foundation of China; Nanyang Technological University; Singapore University of Technology and Design; Ministry of Education - Singapore; National Research Foundation","keywords":"Computer science; Game theory; Metaverse; Distributed computing; Human–computer interaction; Virtual reality; Mathematics; Mathematical economics","score_opus":0.011894152423024938,"score_gpt":0.22962326554716592,"score_spread":0.21772911312414098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226197395","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":[0.0138633875,0.0002104143,0.9768495,0.00040757738,0.00005000457,0.00012536919,0.000045880337,0.00012243626,0.008325398],"genre_scores_gemma":[0.86370856,0.00049537123,0.12834184,0.00016321673,0.00007878086,0.00026376796,0.00007823639,0.00004655129,0.006823734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985599,0.000508129,0.00006615237,0.00027033486,0.0003608914,0.00023458603],"domain_scores_gemma":[0.9986083,0.00064521056,0.0001641433,0.00014788707,0.00024484537,0.00018957445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017993392,0.00084903324,0.0008810712,0.00076942565,0.0012898367,0.0023865702,0.0025355069,0.0012488633,0.0034955053],"category_scores_gemma":[0.0034896717,0.00043688194,0.0010109219,0.0007315675,0.0019758455,0.0027606715,0.002499362,0.001695504,0.000373771],"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":[0.00007765943,0.00005949746,0.00051353674,0.00010755654,0.00005409572,0.0002812803,0.00032045168,0.5378851,0.002682991,0.4410615,0.0018193475,0.015136914],"study_design_scores_gemma":[0.000011772205,0.000025133708,0.000058386035,0.000007598185,0.00001085688,0.0000354766,0.00005094002,0.9356314,0.00024920108,0.06251036,0.0013976087,0.000011206708],"about_ca_topic_score_codex":0.0063118874,"about_ca_topic_score_gemma":0.005619266,"teacher_disagreement_score":0.0063118874,"about_ca_system_score_codex":0.0025197242,"about_ca_system_score_gemma":0.002752238,"threshold_uncertainty_score":0.018281996},"labels":[],"label_agreement":null},{"id":"W4226213255","doi":"10.1109/tvt.2022.3159681","title":"Energy-Saving Deployment Optimization and Resource Management for UAV-Assisted Wireless Sensor Networks With NOMA","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":65,"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":"Aeronautical Science Foundation of China; National Natural Science Foundation of China","keywords":"Computer science; Optimization problem; Power control; Energy consumption; Interference (communication); Wireless sensor network; Decoding methods; Handover; Mathematical optimization; Wireless; Real-time computing; Power optimization; Iterative method; Channel (broadcasting); Power (physics); Algorithm; Computer network; Engineering; Power consumption; Electrical engineering; Telecommunications; Mathematics","score_opus":0.004453566626338016,"score_gpt":0.17476089752098192,"score_spread":0.1703073308946439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226213255","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":[0.06343922,0.0005939166,0.9326639,0.0002875989,0.00005225307,0.00003978412,0.000035921883,0.00011972602,0.0027676283],"genre_scores_gemma":[0.9453912,0.00033479993,0.052755557,0.00006688831,0.00002608642,0.000085742584,0.00004311778,0.00002068581,0.0012760028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996511,0.00015728244,0.000011538123,0.000060379152,0.00006567515,0.000054044092],"domain_scores_gemma":[0.9996013,0.00022567686,0.000060785533,0.00003106114,0.00005323996,0.000027904856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005929501,0.0006782907,0.00048681308,0.00032360796,0.00048254884,0.0005237742,0.0007906959,0.0004471151,0.00052123645],"category_scores_gemma":[0.001308217,0.000298565,0.00031234144,0.00050793786,0.0004519114,0.00097566645,0.0008051022,0.00054032716,0.00012015365],"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":[0.000044726694,0.000030892083,0.0005727332,0.000036108828,0.000021296146,0.00006474607,0.00005067328,0.9666746,0.0022406909,0.0067437436,0.00066559564,0.022854151],"study_design_scores_gemma":[0.000002023679,0.000016849242,0.00009417724,0.0000015292263,0.0000026318319,0.0000079917845,0.000017926692,0.99783224,0.00022301609,0.0016296526,0.00017021611,0.0000017939184],"about_ca_topic_score_codex":0.0025305385,"about_ca_topic_score_gemma":0.004207439,"teacher_disagreement_score":0.0025305385,"about_ca_system_score_codex":0.00058196683,"about_ca_system_score_gemma":0.0006284207,"threshold_uncertainty_score":0.0050315857},"labels":[],"label_agreement":null},{"id":"W4226331814","doi":"10.1109/tvt.2022.3170518","title":"User-Centric Cluster Design and Analysis for Hybrid Sub-6GHz-mmWave-THz Dense Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Computer science; Terahertz radiation; Electronic engineering; Cluster analysis; Interference (communication); Stochastic geometry; Wireless; Bandwidth (computing); Wireless network; Computer network; Channel (broadcasting); Telecommunications; Engineering; Physics; Optoelectronics","score_opus":0.012524828114443998,"score_gpt":0.20530010235806107,"score_spread":0.19277527424361707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226331814","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":[0.052764688,0.0003650022,0.9428087,0.00017279424,0.000025095986,0.00008488963,0.00008341635,0.00018123299,0.0035142598],"genre_scores_gemma":[0.931366,0.00050192967,0.06485872,0.000080867394,0.00003645584,0.0001404874,0.000105084226,0.00008377965,0.002826636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918073,0.00032034452,0.000017379522,0.000112464804,0.00024617737,0.00012286568],"domain_scores_gemma":[0.99859947,0.00061415345,0.0001845609,0.00007673324,0.0004405018,0.00008465761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015423716,0.0008769843,0.000676077,0.00071125984,0.0005257071,0.0009912536,0.0013417675,0.0007084666,0.0013766217],"category_scores_gemma":[0.0028059313,0.0005048352,0.0006718583,0.0006224153,0.000811555,0.0006765021,0.0011097826,0.00057878945,0.0002862252],"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":[0.000031753945,0.000011984002,0.00038007073,0.000021149985,0.000020398098,0.00002710961,0.00003322787,0.98573273,0.001923399,0.0085664885,0.00031980954,0.0029318866],"study_design_scores_gemma":[0.0000012316146,0.0000135795635,0.00006611971,0.0000013042667,0.0000037615519,0.0000074243007,0.0000091542715,0.99875426,0.00026053496,0.00075400877,0.00012616588,0.0000025058364],"about_ca_topic_score_codex":0.007506047,"about_ca_topic_score_gemma":0.005922961,"teacher_disagreement_score":0.007506047,"about_ca_system_score_codex":0.0026074736,"about_ca_system_score_gemma":0.0012500992,"threshold_uncertainty_score":0.018918693},"labels":[],"label_agreement":null},{"id":"W4226342350","doi":"10.1109/tvt.2022.3163078","title":"Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Waterloo; Thunder Bay Regional Research Institute","funders":"","keywords":"Selection (genetic algorithm); Visible light communication; Computer science; Channel (broadcasting); Throughput; Wireless; Energy consumption; Radio frequency; Electronic engineering; Mathematical optimization; Convergence (economics); Multi-armed bandit; Engineering; Telecommunications; Mathematics; Machine learning; Electrical engineering","score_opus":0.054139025851553946,"score_gpt":0.34304758940708596,"score_spread":0.288908563555532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226342350","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":[0.049956895,0.0006850563,0.9444564,0.00059352303,0.00003795109,0.00005959452,0.000044438766,0.00014914885,0.004016939],"genre_scores_gemma":[0.96054614,0.0003461547,0.036030147,0.00019919114,0.000059946615,0.00012248532,0.000039987557,0.00003872438,0.0026172262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987167,0.00061294873,0.000034746165,0.00015880889,0.00020742018,0.00026939024],"domain_scores_gemma":[0.9967699,0.002315775,0.00044429518,0.00009390595,0.00026179588,0.00011439994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021584928,0.0009271729,0.0016445724,0.0007861853,0.00061086385,0.001637072,0.0012039526,0.0015596034,0.0014982404],"category_scores_gemma":[0.0049226927,0.00066030584,0.000594888,0.00080816133,0.0016914658,0.0012692973,0.001223626,0.0010412426,0.00018830503],"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":[0.000036527745,0.000017113452,0.00023746684,0.000015833091,0.000019557448,0.000026782314,0.000017954131,0.9916214,0.00025810898,0.004477435,0.00014161467,0.0031302653],"study_design_scores_gemma":[0.00000321494,0.000008903984,0.000029905797,0.000001935669,0.0000034892219,0.0000035622438,0.0000044113913,0.9987909,0.00005485567,0.0010516666,0.000045196648,0.0000019464649],"about_ca_topic_score_codex":0.0066721323,"about_ca_topic_score_gemma":0.0037315786,"teacher_disagreement_score":0.0066721323,"about_ca_system_score_codex":0.0014147183,"about_ca_system_score_gemma":0.0011234195,"threshold_uncertainty_score":0.013266623},"labels":[],"label_agreement":null},{"id":"W4226476448","doi":"10.1109/tvt.2022.3158892","title":"On the Security of Full-Duplex Relay-Assisted Underwater Acoustic Network With NOMA","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Eavesdropping; Relay; Computer network; Underwater acoustic communication; Computer science; Efficient energy use; Linear network coding; Wireless; Wireless network; Transmitter power output; Secrecy; Telecommunications; Electronic engineering; Underwater; Engineering; Power (physics); Channel (broadcasting); Transmitter; Electrical engineering; Computer security","score_opus":0.009786119501055863,"score_gpt":0.18887813700246203,"score_spread":0.17909201750140616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226476448","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":[0.32336622,0.009778916,0.62832654,0.0022400785,0.00038403313,0.00012255405,0.00021359276,0.000161017,0.035407018],"genre_scores_gemma":[0.98713684,0.0023099023,0.008646292,0.000086900756,0.000081472375,0.000036292913,0.000035337154,0.000010913001,0.0016560383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988728,0.00045949803,0.000039021776,0.00017019582,0.00026042998,0.00019803667],"domain_scores_gemma":[0.9979342,0.0013140452,0.00024686646,0.00014869556,0.00029120702,0.000064998945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082259,0.0008226741,0.0005977084,0.0006224862,0.00082624267,0.0012528445,0.0006137845,0.0007276096,0.0011342916],"category_scores_gemma":[0.003386803,0.0003081885,0.00042004875,0.0005629741,0.0014227424,0.0016714967,0.0011929629,0.00073879206,0.00025488416],"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":[0.0007003592,0.000097015945,0.00288576,0.00049023004,0.00018341327,0.00086372497,0.00046479647,0.7455837,0.037040785,0.16869263,0.0030191385,0.039978392],"study_design_scores_gemma":[0.000016002825,0.00024930257,0.0006907072,0.000059853155,0.000038385155,0.0003096676,0.00016775975,0.97330827,0.005034823,0.018714286,0.0013694549,0.000041469986],"about_ca_topic_score_codex":0.0022472793,"about_ca_topic_score_gemma":0.0020679564,"teacher_disagreement_score":0.0022472793,"about_ca_system_score_codex":0.0010662626,"about_ca_system_score_gemma":0.0010953967,"threshold_uncertainty_score":0.0077363253},"labels":[],"label_agreement":null},{"id":"W4226492282","doi":"10.1109/tvt.2022.3165689","title":"Tree-Coding-Aided Adaptive-Cross-Entropy Algorithm for Hybrid Precoding With Low-Resolution Analog Phase Shifters","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","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":"University of Victoria","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Precoding; Algorithm; MIMO; Mathematics; Cross entropy; Coding (social sciences); Computational complexity theory; Adaptive coding; Computer science; Control theory (sociology); Principle of maximum entropy; Data compression","score_opus":0.013932248835076306,"score_gpt":0.2383736724481446,"score_spread":0.22444142361306832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226492282","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":[0.005310199,0.00012582415,0.9938876,0.000033261484,0.000011236787,0.000011840263,0.000012979205,0.00007699857,0.0005299234],"genre_scores_gemma":[0.39236957,0.0004189168,0.60306084,0.0001556925,0.0000566199,0.00015331189,0.00016026029,0.000047272202,0.0035775413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995677,0.0001347723,0.000023182785,0.000064099215,0.00016827752,0.00004190968],"domain_scores_gemma":[0.99934834,0.00037395247,0.000063280335,0.00005050212,0.00014520198,0.000018752999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006505099,0.0005483378,0.000554416,0.00034946442,0.00026535676,0.00053701986,0.00068645924,0.00052579277,0.0012371358],"category_scores_gemma":[0.0016923927,0.00022352376,0.00035592163,0.0006679418,0.00042522576,0.00085775525,0.0006659377,0.0006936263,0.0002998478],"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":[0.00017140893,0.000052318665,0.00063410035,0.000109259854,0.000066848086,0.00009112241,0.00013428225,0.7207711,0.019555468,0.041986953,0.0016894366,0.21473762],"study_design_scores_gemma":[0.0000071471163,0.000029327162,0.000052188563,0.0000037306431,0.000004626864,0.000024995086,0.0000038503404,0.995227,0.0018784712,0.0023353053,0.00042844116,0.000004879193],"about_ca_topic_score_codex":0.0018702513,"about_ca_topic_score_gemma":0.002425445,"teacher_disagreement_score":0.0018702513,"about_ca_system_score_codex":0.0004072399,"about_ca_system_score_gemma":0.000805649,"threshold_uncertainty_score":0.004138589},"labels":[],"label_agreement":null},{"id":"W4226494600","doi":"10.1109/tvt.2022.3169568","title":"Performance Analysis Over Correlated/Independent Fisher-Snedecor $\\mathcal {F}$ Fading Multiple Access Channels","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"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","funders":"","keywords":"Fading; Notation; Mathematics; Algorithm; Topology (electrical circuits); Discrete mathematics; Applied mathematics; Combinatorics; Arithmetic; Decoding methods","score_opus":0.010281315081396998,"score_gpt":0.22544401727503752,"score_spread":0.21516270219364053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226494600","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":[0.5249877,0.0028352009,0.45616144,0.00075450196,0.00016417266,0.00016882701,0.00064403267,0.000747196,0.013536949],"genre_scores_gemma":[0.98534334,0.00076730223,0.012304222,0.00011347656,0.0000541693,0.000055637975,0.00014861263,0.000045454322,0.001167834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99668735,0.0011538483,0.000098711986,0.00045067834,0.0008461828,0.00076321536],"domain_scores_gemma":[0.98342,0.0111415405,0.0014965567,0.0010837801,0.0025200923,0.00033806282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035466654,0.00218222,0.0013174679,0.0014347716,0.0010361124,0.0013407979,0.0014297237,0.001215927,0.0019262359],"category_scores_gemma":[0.014769884,0.0005274093,0.0009868733,0.0014690679,0.0019901746,0.0019063117,0.001327622,0.0011502946,0.00043894135],"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":[0.00036965506,0.000087526634,0.002847659,0.0001390686,0.0001434169,0.00029875882,0.00008374405,0.9647565,0.004567627,0.014794898,0.00091611996,0.010995128],"study_design_scores_gemma":[0.000021285052,0.00014795229,0.0010384662,0.000019708164,0.000070938,0.00014719582,0.000049228493,0.9921366,0.0027448342,0.0033835738,0.00020550076,0.000034731805],"about_ca_topic_score_codex":0.010642429,"about_ca_topic_score_gemma":0.006892696,"teacher_disagreement_score":0.010642429,"about_ca_system_score_codex":0.0023722528,"about_ca_system_score_gemma":0.003030509,"threshold_uncertainty_score":0.02116096},"labels":[],"label_agreement":null},{"id":"W4231504151","doi":"10.1109/tvt.2016.2524138","title":"IEEE Transactions on Vehicular Technology publication information","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fiat Chrysler Automobiles; Universidade Estadual de Campinas; Universidade Nova de Lisboa; Xidian University; Beijing Institute of Technology; Indiana University-Purdue University Indianapolis; Yonsei University; National Institute of Standards and Technology; King's College London; McMaster University; Futurewei Technologies; McGill University; Heriot-Watt University; Dartmouth College; Chinese Academy of Sciences; Queen Mary University of London; Syracuse University","keywords":"Computer science; Engineering; Telecommunications; Computer network","score_opus":0.005588814665482827,"score_gpt":0.19395296009305188,"score_spread":0.18836414542756905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231504151","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010059183,0.029309174,0.11115168,0.012395488,0.07608684,0.0006083389,0.016307872,0.0058030477,0.73827845],"genre_scores_gemma":[0.04080315,0.025783539,0.0096555995,0.001120271,0.0035615792,0.00019462545,0.026225686,0.0010714154,0.8915841],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991333,0.000081172024,0.00006687537,0.00009352765,0.00051363395,0.00011168735],"domain_scores_gemma":[0.9977047,0.00028578565,0.00007731014,0.00036426538,0.0014401355,0.0001278249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009607431,0.0013073582,0.001644283,0.0028418677,0.0008787719,0.0027820412,0.0009917185,0.0019592384,0.19257483],"category_scores_gemma":[0.0026399612,0.0005217989,0.0005399102,0.003257366,0.0003409409,0.0020303214,0.0012579826,0.0014871795,0.16302083],"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":[0.00019503449,0.00013678476,0.0007729832,0.00047502364,0.000026936235,0.00015104277,0.000042623156,0.0029041104,0.0030557078,0.008697529,0.63180065,0.3517415],"study_design_scores_gemma":[0.000026059039,0.00009251322,0.0012846172,0.00022311351,0.000048551577,0.00019211753,0.000060380095,0.00557733,0.0022920193,0.0059362925,0.98423684,0.000030125982],"about_ca_topic_score_codex":0.004730625,"about_ca_topic_score_gemma":0.006748917,"teacher_disagreement_score":0.19257483,"about_ca_system_score_codex":0.0008914813,"about_ca_system_score_gemma":0.0022277357,"threshold_uncertainty_score":0.64422697},"labels":[],"label_agreement":null},{"id":"W4241593950","doi":"10.1109/tvt.2014.2323172","title":"An Energy-Efficient Uncoordinated Cooperative Scheme With Uncertain Relay Distribution Intensity","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Relay; Computer science; Fading; Cooperative diversity; Transmission (telecommunications); Efficient energy use; Energy consumption; Computer network; Wireless; Spectral efficiency; Rayleigh fading; Energy (signal processing); Wireless network; Mathematical optimization; Electronic engineering; Channel (broadcasting); Telecommunications; Engineering; Mathematics; Electrical engineering","score_opus":0.012209536079089792,"score_gpt":0.23887097833974003,"score_spread":0.22666144226065024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241593950","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":[0.08206822,0.0003875118,0.9146759,0.0001964318,0.000033388133,0.000058307127,0.000029799285,0.00014224894,0.0024081646],"genre_scores_gemma":[0.9508293,0.00021666367,0.04734452,0.000067841385,0.0000158159,0.000072110175,0.000024642963,0.000007880497,0.0014211136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990464,0.00023704988,0.00005693067,0.00024930545,0.0002730942,0.00013728334],"domain_scores_gemma":[0.9991586,0.0002949306,0.00017167535,0.00013491063,0.00018127187,0.000058620757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010309897,0.00086261844,0.0011406699,0.00050874945,0.0006738739,0.0008748152,0.0024101667,0.00079282955,0.00046209412],"category_scores_gemma":[0.0020669694,0.00037069566,0.0005952938,0.0010811419,0.0009672324,0.0011301435,0.0017271438,0.00055381784,0.0001648781],"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":[0.00050506025,0.00015469862,0.0011334742,0.00019276787,0.00017975396,0.0008009514,0.00095120544,0.7856002,0.06403304,0.051395588,0.0016221454,0.09343117],"study_design_scores_gemma":[0.000032556138,0.0001479785,0.00013369293,0.0000072895314,0.000037605027,0.00018129425,0.000047852234,0.99041396,0.0035732593,0.004771899,0.0006278225,0.00002482411],"about_ca_topic_score_codex":0.0018436015,"about_ca_topic_score_gemma":0.0015749802,"teacher_disagreement_score":0.0024101667,"about_ca_system_score_codex":0.00073117507,"about_ca_system_score_gemma":0.00094428705,"threshold_uncertainty_score":0.0054525137},"labels":[],"label_agreement":null},{"id":"W4250718422","doi":"10.1109/tvt.2002.808798","title":"Soft-decision multistage multiuser interference cancellation","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Single antenna interference cancellation; Clipper (electronics); Interference (communication); Computer science; Multiuser detection; Propagation of uncertainty; Spread spectrum; Code division multiple access; Bit error rate; Electronic engineering; Algorithm; Telecommunications; Engineering; Decoding methods","score_opus":0.02068712133183928,"score_gpt":0.2797163131549251,"score_spread":0.2590291918230858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250718422","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":[0.06273315,0.00063406565,0.92878515,0.00010962584,0.00006524892,0.000083356965,0.000105143794,0.0005230989,0.006961189],"genre_scores_gemma":[0.8617623,0.0003543814,0.13428482,0.00018323747,0.000047875623,0.00007235894,0.0001213512,0.00002655623,0.003147168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989666,0.00019435646,0.000036337984,0.000088127366,0.000594378,0.00012026116],"domain_scores_gemma":[0.998307,0.0007078505,0.00019696381,0.00024494127,0.000482029,0.00006122055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094423397,0.0006741423,0.0006911864,0.00040191392,0.00032137128,0.00067925133,0.00084759766,0.0005926184,0.0015361622],"category_scores_gemma":[0.0023209464,0.00015294821,0.00037512823,0.0006551157,0.0006954528,0.0005712476,0.00060940976,0.00053282775,0.00052312255],"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":[0.0007817589,0.0001882798,0.0029776688,0.00045312487,0.00019923858,0.00050688477,0.00013465404,0.6119101,0.09646039,0.059450004,0.0029792066,0.22395866],"study_design_scores_gemma":[0.000023954995,0.00015318372,0.0004837942,0.000011837587,0.000018337178,0.00017601768,0.000009323446,0.9586744,0.034478232,0.004504267,0.0014445368,0.000022152044],"about_ca_topic_score_codex":0.0006727377,"about_ca_topic_score_gemma":0.0010689684,"teacher_disagreement_score":0.0015361622,"about_ca_system_score_codex":0.0006023403,"about_ca_system_score_gemma":0.0005761643,"threshold_uncertainty_score":0.0051389933},"labels":[],"label_agreement":null},{"id":"W4283460225","doi":"10.1109/tvt.2022.3180124","title":"Guest Editorial Introduction to the Special Section on Innovative Electrified Vehicles","year":2022,"lang":"en","type":"editorial","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Coventry University; Université de Lille; Université de Sherbrooke","keywords":"Electrification; Engineering; Special section; Transport engineering; Telecommunications; Aeronautics; Business; Electricity; Electrical engineering","score_opus":0.0030095950760434184,"score_gpt":0.19907432270863698,"score_spread":0.19606472763259356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283460225","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":[0.000030603285,0.0022242954,0.00010460811,0.009767361,0.9853864,0.000016303176,0.000030872947,0.000039733655,0.0023998986],"genre_scores_gemma":[0.00041738112,0.003350799,0.00008789774,0.007574456,0.9748556,0.000019140889,0.000042702235,0.000043929278,0.013608132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763954,0.0002486801,0.00026439916,0.0003525267,0.0012648712,0.00022997525],"domain_scores_gemma":[0.9881396,0.0024893808,0.00066703325,0.00028567415,0.0062559186,0.0021623836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028227002,0.0027506617,0.0018976642,0.0035467679,0.0023960574,0.0065398044,0.0019445405,0.0076490073,0.033163216],"category_scores_gemma":[0.01118121,0.0007262695,0.0018620187,0.0010785342,0.0011219052,0.0037401116,0.0013155951,0.009807728,0.023352103],"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":[0.000025768777,0.000013234594,0.000025385847,0.00016002006,0.0000057074785,0.00012229888,0.000007901569,0.00002298568,0.00009527455,0.00026102172,0.99258727,0.0066730594],"study_design_scores_gemma":[0.000023262668,0.000028030257,0.00016207647,0.0002112469,0.000015532067,0.00031780853,0.000026264175,0.00008079341,0.00014110659,0.0005773307,0.99840623,0.0000102503],"about_ca_topic_score_codex":0.0006059253,"about_ca_topic_score_gemma":0.0014970887,"teacher_disagreement_score":0.033163216,"about_ca_system_score_codex":0.0015462221,"about_ca_system_score_gemma":0.0017796186,"threshold_uncertainty_score":0.110942006},"labels":[],"label_agreement":null},{"id":"W4285031706","doi":"10.1109/tvt.2022.3189627","title":"Intelligent Surface Aided D2D-V2X System for Low-Latency and High-Reliability Communications","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":35,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Beamforming; Latency (audio); Ergodic theory; Computer science; Base station; Intelligent transportation system; Low latency (capital markets); Reliability (semiconductor); Computer network; Real-time computing; Power (physics); Engineering; Telecommunications; Mathematics","score_opus":0.012978089031333023,"score_gpt":0.2323344772079546,"score_spread":0.2193563881766216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285031706","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":[0.0864141,0.0015537479,0.8782714,0.0005613251,0.00030531877,0.000105708925,0.0002977127,0.002739462,0.029751122],"genre_scores_gemma":[0.9418848,0.0003983783,0.047227297,0.00019082997,0.00006089726,0.00010645312,0.00038826556,0.000037045695,0.00970607],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997682,0.000045872697,0.000008077237,0.000049213566,0.00008574597,0.000042983007],"domain_scores_gemma":[0.99990284,0.00002018968,0.000013893842,0.000018488967,0.000031660576,0.00001275603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020813278,0.0005217196,0.00046283647,0.0003734555,0.00044491084,0.0007269907,0.0009502812,0.00044462338,0.0033509745],"category_scores_gemma":[0.00026953386,0.00012222563,0.0002320326,0.000421908,0.00031814026,0.00063331163,0.0011356837,0.0004677193,0.0009701678],"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":[0.0009999999,0.00024152295,0.0070310924,0.00049491215,0.0001460259,0.0010298499,0.0006072291,0.24896142,0.1862861,0.04370064,0.030803664,0.47969753],"study_design_scores_gemma":[0.0000992546,0.0005913035,0.0016372653,0.00003105104,0.000060742823,0.0006686188,0.0002635603,0.8940863,0.04451475,0.008692664,0.04928983,0.00006480127],"about_ca_topic_score_codex":0.0015552634,"about_ca_topic_score_gemma":0.0020469208,"teacher_disagreement_score":0.0033509745,"about_ca_system_score_codex":0.0003939821,"about_ca_system_score_gemma":0.00045768375,"threshold_uncertainty_score":0.011210144},"labels":[],"label_agreement":null},{"id":"W4285066205","doi":"10.1109/tvt.2022.3185249","title":"Deep Learning Enabled Fine-Grained Path Planning for Connected Vehicular Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":17,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Reliability (semiconductor); Beijing; Traffic congestion; Floating car data; Path (computing); Convolutional neural network; Traffic congestion reconstruction with Kerner's three-phase theory; Motion planning; Deep learning; Real-time computing; Data mining; Transport engineering; Artificial intelligence; Computer network; Engineering; Geography","score_opus":0.0067558551221649065,"score_gpt":0.20429917275270063,"score_spread":0.19754331763053573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285066205","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":[0.03291053,0.0002457912,0.96399385,0.000116167554,0.000041158764,0.000024894034,0.00016872726,0.0008852268,0.0016136691],"genre_scores_gemma":[0.8742233,0.00024707854,0.12270393,0.000060560862,0.000019887835,0.00006773652,0.0005468295,0.00007293659,0.0020576667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983907,0.000022879805,0.0000073442334,0.00005363442,0.00003777913,0.000039277107],"domain_scores_gemma":[0.9998023,0.000060467468,0.000029172363,0.000028582375,0.00006149125,0.000017930695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002405963,0.00073142565,0.000458442,0.0005709104,0.00037581153,0.0005014215,0.0011721535,0.00049709645,0.0011520128],"category_scores_gemma":[0.0007864633,0.0003945329,0.0004398404,0.0005814426,0.00037324565,0.0008476877,0.0007435732,0.0007196595,0.0002026837],"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":[0.000016094438,0.000010707985,0.00053424586,0.000017497194,0.000011489844,0.000027701655,0.000021779138,0.96655476,0.001009037,0.0021567396,0.00049247226,0.029147526],"study_design_scores_gemma":[9.122515e-7,0.0000043323344,0.00005372976,0.0000010979975,0.0000018274625,0.00000388315,0.0000037324808,0.9983882,0.00023779276,0.001137987,0.00016493099,0.000001532108],"about_ca_topic_score_codex":0.028069291,"about_ca_topic_score_gemma":0.02786168,"teacher_disagreement_score":0.028069291,"about_ca_system_score_codex":0.0009803299,"about_ca_system_score_gemma":0.0013080125,"threshold_uncertainty_score":0.055811822},"labels":[],"label_agreement":null},{"id":"W4285118711","doi":"10.1109/tvt.2022.3177132","title":"Energy-Efficient Design for IRS-Empowered Uplink MIMO-NOMA Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Telecommunications link; Beamforming; MIMO; Base station; Benchmark (surveying); Computer science; Optimization problem; Wireless; Noma; Iterative method; Mathematical optimization; Efficient energy use; Convex optimization; Convergence (economics); Multi-user MIMO; Electronic engineering; Engineering; Computer network; Algorithm; Telecommunications; Regular polygon; Mathematics; Electrical engineering","score_opus":0.017446818657733773,"score_gpt":0.22544251939357052,"score_spread":0.20799570073583673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285118711","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":[0.025141329,0.00048893923,0.9614803,0.00014427662,0.00005664878,0.00005542117,0.000045867528,0.00017277205,0.012414387],"genre_scores_gemma":[0.9072443,0.00053482933,0.08822866,0.00010203787,0.00005764617,0.00016175318,0.000056035657,0.00003305776,0.0035816368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945503,0.00021277541,0.00001929194,0.00006551666,0.0001659934,0.00008145699],"domain_scores_gemma":[0.9996722,0.00012448287,0.000062005245,0.00003064744,0.000090170404,0.000020530244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051836745,0.0008675349,0.0006534231,0.00023823192,0.00036024646,0.0009882997,0.0007208264,0.00058183126,0.0022490902],"category_scores_gemma":[0.00096250826,0.00039253896,0.00037849823,0.00043075313,0.0005099302,0.0005247419,0.0008083331,0.00063200196,0.00061138783],"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":[0.00011512917,0.00006643153,0.00054448633,0.00015432511,0.00005798805,0.0001767395,0.00014304028,0.9000522,0.02419013,0.024807446,0.0015554923,0.04813656],"study_design_scores_gemma":[0.000007918623,0.000073198324,0.00010620878,0.000007710662,0.000009451626,0.000035159745,0.000022206232,0.9955989,0.0015469397,0.0017024137,0.0008828662,0.000007050227],"about_ca_topic_score_codex":0.0010502313,"about_ca_topic_score_gemma":0.0019518315,"teacher_disagreement_score":0.0022490902,"about_ca_system_score_codex":0.00047295474,"about_ca_system_score_gemma":0.00068545085,"threshold_uncertainty_score":0.007523954},"labels":[],"label_agreement":null},{"id":"W4285120405","doi":"10.1109/tvt.2022.3186871","title":"Effective Capacity Analysis of AmBC-NOMA Communication Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":37,"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 Laval","funders":"Henan Provincial Science and Technology Research Project","keywords":"Noma; Computer science; Channel capacity; Electronic engineering; Computer network; Engineering; Telecommunications link","score_opus":0.009133841144506048,"score_gpt":0.2154872387590127,"score_spread":0.20635339761450666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285120405","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":[0.03827891,0.0024784107,0.9375583,0.0003962754,0.00009136343,0.00006622982,0.00028026453,0.00027965792,0.020570558],"genre_scores_gemma":[0.9534921,0.0019830232,0.038398124,0.00020423051,0.00015051576,0.00017594491,0.00021286208,0.00008156644,0.00530164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793845,0.00058973645,0.00006414395,0.000208721,0.00079372845,0.00040521746],"domain_scores_gemma":[0.9958716,0.0024412211,0.0002505923,0.0003005958,0.0010385563,0.00009743749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013668096,0.0012326004,0.0008442803,0.0015399965,0.0008269468,0.0018280883,0.0013117909,0.00086996116,0.0036589564],"category_scores_gemma":[0.0064640744,0.00041997546,0.0005374697,0.0013379182,0.0015699578,0.0028558115,0.0014834194,0.0011702195,0.0007251004],"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":[0.000055168628,0.000037977457,0.0005838536,0.00020342463,0.00005035113,0.0003536833,0.00021724914,0.761206,0.005770268,0.21380983,0.0018294072,0.015882727],"study_design_scores_gemma":[0.000003446092,0.0000153824,0.00020565452,0.000019973582,0.0000116154415,0.00011948682,0.00003960031,0.9672538,0.00088820007,0.03033754,0.0010850816,0.00002021797],"about_ca_topic_score_codex":0.0047861575,"about_ca_topic_score_gemma":0.0027266988,"teacher_disagreement_score":0.0047861575,"about_ca_system_score_codex":0.002240932,"about_ca_system_score_gemma":0.0015338828,"threshold_uncertainty_score":0.016259134},"labels":[],"label_agreement":null},{"id":"W4285136627","doi":"10.1109/tvt.2022.3172905","title":"Joint Resource and Power Allocation for Clustered Cognitive M2M Communications Underlaying Cellular Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Underlay; Base station; Cellular network; Computer science; Resource allocation; Telecommunications link; Quality of service; Computer network; Cognitive radio; Interference (communication); Transmitter power output; Default gateway; Distributed computing; Wireless; Transmitter; Signal-to-noise ratio (imaging); Telecommunications; Channel (broadcasting)","score_opus":0.019910714077224022,"score_gpt":0.23473929484283887,"score_spread":0.21482858076561484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285136627","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":[0.14378306,0.0011304334,0.84913087,0.00019430049,0.00008141826,0.00006734758,0.00005911178,0.00022613315,0.0053273174],"genre_scores_gemma":[0.9787498,0.0001332062,0.02026178,0.000041663832,0.00002192203,0.00003360751,0.000015651214,0.000006858198,0.0007354121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995295,0.00013225054,0.000015908363,0.00010016563,0.000106584375,0.00011556744],"domain_scores_gemma":[0.9995721,0.00019894072,0.00006985501,0.00003646808,0.00008805423,0.000034657463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044111226,0.0006695591,0.00052142603,0.00044006688,0.0007067648,0.0006491235,0.0010526598,0.0005586026,0.0006597042],"category_scores_gemma":[0.0010845807,0.0002093914,0.00029189276,0.000796843,0.0004128898,0.0005338648,0.00084925134,0.0003543514,0.000111986184],"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":[0.000221059,0.00011578151,0.0007579799,0.00011502015,0.000076936696,0.00025401355,0.00014567697,0.8971956,0.011839688,0.01038133,0.0018372677,0.077059686],"study_design_scores_gemma":[0.000010282994,0.000070562484,0.00021662495,0.0000033872025,0.000014499187,0.00005666595,0.000045153745,0.99478805,0.001296534,0.0029587734,0.00053041865,0.00000902745],"about_ca_topic_score_codex":0.0063693407,"about_ca_topic_score_gemma":0.012039569,"teacher_disagreement_score":0.0063693407,"about_ca_system_score_codex":0.0008303575,"about_ca_system_score_gemma":0.000893155,"threshold_uncertainty_score":0.0126645565},"labels":[],"label_agreement":null},{"id":"W4285158794","doi":"10.1109/tvt.2022.3181050","title":"Combined Robust Beamforming With Uplink RSMA for Multibeam Satellite Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Beamforming; Mathematical optimization; Convex optimization; Transmitter power output; Computer science; Channel (broadcasting); Channel state information; Power control; Optimization problem; Iterative method; Transmission (telecommunications); Power (physics); Control theory (sociology); Regular polygon; Mathematics; Wireless; Telecommunications; Transmitter; Control (management)","score_opus":0.017581229654334833,"score_gpt":0.2086371741351946,"score_spread":0.19105594448085975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285158794","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":[0.009094423,0.00035167107,0.9885372,0.00008195369,0.000026405154,0.000014392958,0.00001322596,0.00020209972,0.0016786277],"genre_scores_gemma":[0.7196892,0.00052139274,0.27695146,0.0001697658,0.000084787476,0.000073896976,0.00006758996,0.00004936807,0.0023925651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943215,0.00020040241,0.000028000251,0.00009176832,0.00019743682,0.000050255694],"domain_scores_gemma":[0.99966955,0.00015105761,0.00005794621,0.000047025365,0.000060494964,0.0000138959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043674384,0.0006382825,0.0005140128,0.00028827068,0.00019797022,0.00040037438,0.0005338737,0.00046715458,0.001262924],"category_scores_gemma":[0.0007190082,0.00026874483,0.00040635458,0.0003574118,0.00037994268,0.0007104168,0.00049672887,0.00047912865,0.00042437538],"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":[0.0002361149,0.000074836025,0.00074217503,0.00021999444,0.00014880876,0.00020266998,0.000135961,0.6510368,0.09161315,0.030253327,0.0013517598,0.22398439],"study_design_scores_gemma":[0.000013548136,0.000121990444,0.00014689648,0.000008333393,0.000019945583,0.000063352,0.000013792547,0.9882058,0.0073933885,0.0025151211,0.0014812365,0.000016690225],"about_ca_topic_score_codex":0.00084799266,"about_ca_topic_score_gemma":0.001373078,"teacher_disagreement_score":0.001262924,"about_ca_system_score_codex":0.00020942514,"about_ca_system_score_gemma":0.00031522437,"threshold_uncertainty_score":0.004224956},"labels":[],"label_agreement":null},{"id":"W4285170173","doi":"10.1109/tvt.2022.3173029","title":"Energy Efficiency Maximization for Hybrid TDMA-NOMA System With Opportunistic Time Assignment","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Time division multiple access; Computer science; Transmitter power output; Resource allocation; Spectral efficiency; Mathematical optimization; Maximization; Convex optimization; Noma; Multiplexing; Iterative method; Efficient energy use; Single antenna interference cancellation; Throughput; Optimization problem; Transmitter; Computer network; Algorithm; Wireless; Telecommunications link; Regular polygon; Mathematics; Engineering; Telecommunications; Channel (broadcasting); Electrical engineering","score_opus":0.007694211812440241,"score_gpt":0.18813324161836695,"score_spread":0.18043902980592672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285170173","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":[0.06131499,0.000763872,0.9316026,0.0001848722,0.000043420656,0.00004195851,0.000056302182,0.0001476883,0.0058443095],"genre_scores_gemma":[0.9570529,0.00044330754,0.039530076,0.000062376166,0.00003728201,0.00007057524,0.000038073358,0.000021635115,0.002743778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958926,0.00013718553,0.000014899125,0.00007871811,0.00010305918,0.00007686719],"domain_scores_gemma":[0.99961495,0.00021365398,0.000055321074,0.000021716045,0.000072458446,0.000021860335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004957686,0.0007552519,0.0007346985,0.0003182052,0.0004118028,0.0010674645,0.0006582396,0.0005285129,0.00085303513],"category_scores_gemma":[0.00074682885,0.00030755243,0.0005162792,0.00067527307,0.00047980694,0.00077719043,0.0006931594,0.00045667903,0.00014135083],"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":[0.0001027627,0.000048451475,0.00092153106,0.00009851568,0.000054927696,0.00025508294,0.000091410715,0.95925254,0.0064143473,0.01184444,0.00069301843,0.02022296],"study_design_scores_gemma":[0.000004242184,0.000019452747,0.00010037936,0.0000022126958,0.000006515711,0.000030688778,0.0000143009,0.99813974,0.0003717967,0.0011205716,0.00018618026,0.000003841253],"about_ca_topic_score_codex":0.003439939,"about_ca_topic_score_gemma":0.0032313664,"teacher_disagreement_score":0.003439939,"about_ca_system_score_codex":0.0006995398,"about_ca_system_score_gemma":0.00075259287,"threshold_uncertainty_score":0.006839812},"labels":[],"label_agreement":null},{"id":"W4285189244","doi":"10.1109/tvt.2022.3190557","title":"Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":34,"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, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Robot; Overhead (engineering); Computer science; Telecommunications link; Efficient energy use; Mobile robot; Convergence (economics); Real-time computing; Distributed computing; Engineering; Computer network; Artificial intelligence; Electrical engineering","score_opus":0.021446926056565202,"score_gpt":0.2500256626546923,"score_spread":0.22857873659812708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285189244","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":[0.047997877,0.0004958995,0.9460142,0.00028710513,0.00007882714,0.0000421992,0.00004308485,0.00088886026,0.0041518905],"genre_scores_gemma":[0.96888787,0.00007919038,0.028964194,0.000112853064,0.000018566327,0.00005793244,0.000044486256,0.000019355775,0.0018155439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964476,0.00009044292,0.000017108883,0.000083099236,0.00007088366,0.00009362846],"domain_scores_gemma":[0.999424,0.0002512031,0.00009502723,0.000048231086,0.0001313134,0.000050242492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006874773,0.00071031763,0.0008625424,0.00025538137,0.0003335356,0.00057559233,0.0011801325,0.0008277971,0.00135673],"category_scores_gemma":[0.0013006817,0.00030676732,0.00036372268,0.00027639547,0.0005850298,0.0005660817,0.00095928845,0.0010298495,0.00025292815],"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":[0.00005596842,0.00004879604,0.00049432274,0.000033456174,0.00002291279,0.000058880934,0.00003142737,0.96331614,0.0013984902,0.001445018,0.0005256225,0.03256897],"study_design_scores_gemma":[0.0000044025005,0.000021344365,0.000040497034,0.0000017420888,0.0000025845645,0.000005059019,0.0000031680156,0.9992373,0.00018414098,0.0004048136,0.00009317326,0.000001829301],"about_ca_topic_score_codex":0.006203608,"about_ca_topic_score_gemma":0.005674566,"teacher_disagreement_score":0.006203608,"about_ca_system_score_codex":0.00075769174,"about_ca_system_score_gemma":0.001065302,"threshold_uncertainty_score":0.012335002},"labels":[],"label_agreement":null},{"id":"W4285198533","doi":"10.1109/tvt.2022.3186037","title":"Joint NOMA Clustering and Power Allocation in IoRT-Oriented Satellite Terrestrial Relay Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","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 Victoria","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Cluster analysis; Karush–Kuhn–Tucker conditions; Telecommunications link; Mathematical optimization; Computer science; Optimization problem; Computational complexity theory; Relay; Convergence (economics); Convex optimization; Power (physics); Regular polygon; Algorithm; Mathematics; Computer network; Artificial intelligence","score_opus":0.013526448582810428,"score_gpt":0.2149257050758585,"score_spread":0.20139925649304807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285198533","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":[0.040794853,0.0005420647,0.954888,0.0002390522,0.000033725762,0.00004896019,0.000037362606,0.00020470726,0.0032113856],"genre_scores_gemma":[0.9282203,0.00039920557,0.068693705,0.000095538606,0.000039190498,0.00008731312,0.00006575428,0.000041532447,0.002357451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988494,0.00051129586,0.000037879006,0.00024168937,0.00020720018,0.00015261587],"domain_scores_gemma":[0.99909055,0.00047760832,0.00015901051,0.00008653913,0.00013312486,0.00005314738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009849572,0.00088514644,0.0010108978,0.00047375227,0.0007158305,0.00076891476,0.0012420974,0.00083069666,0.00083489687],"category_scores_gemma":[0.0022054152,0.000412405,0.0005352086,0.0009431469,0.0007969797,0.001185761,0.0009491994,0.0008040667,0.00024695793],"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":[0.00007278873,0.000029525369,0.0003046224,0.00004681566,0.0000283423,0.00009975233,0.00006237444,0.9682844,0.0013917135,0.009356698,0.00066061923,0.019662257],"study_design_scores_gemma":[0.000005965624,0.000019294534,0.00008075928,0.00000217311,0.000005392706,0.000032956068,0.000018423723,0.9960609,0.00042572682,0.0030462095,0.00029720124,0.0000048925112],"about_ca_topic_score_codex":0.0061085126,"about_ca_topic_score_gemma":0.0061450885,"teacher_disagreement_score":0.0061085126,"about_ca_system_score_codex":0.0011405053,"about_ca_system_score_gemma":0.00093699,"threshold_uncertainty_score":0.0121459365},"labels":[],"label_agreement":null},{"id":"W4285199145","doi":"10.1109/tvt.2022.3178634","title":"Performance Analysis of Mobile Cloud Computing With Bursty Demand: A Tandem Queue Model","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Provisioning; Quality of service; Distributed computing; Computer network; Queue; Channel (broadcasting); Queueing theory; Wireless; Resource allocation; Real-time computing; Operating system","score_opus":0.00853217755448103,"score_gpt":0.21905282040217383,"score_spread":0.2105206428476928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285199145","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":[0.30059317,0.0021735507,0.6795305,0.0028794457,0.00031963587,0.00024206316,0.0006921839,0.00062519655,0.012944248],"genre_scores_gemma":[0.98516995,0.00051809323,0.01003119,0.00016587674,0.000098365635,0.00007725978,0.00012787449,0.000059773403,0.003751511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988457,0.00022240957,0.000038315575,0.00018103649,0.00024610682,0.0004663697],"domain_scores_gemma":[0.9967636,0.001714902,0.00045947064,0.00012157287,0.0006132568,0.00032714359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020742726,0.0014043882,0.0015157242,0.00088091346,0.00092630315,0.0021121246,0.0022766795,0.0014127493,0.002965261],"category_scores_gemma":[0.0057551963,0.00055644277,0.0008832912,0.0011224962,0.0011296673,0.001811121,0.0013905778,0.0015840704,0.00036326284],"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":[0.00012797388,0.00006548544,0.0012794244,0.00005244409,0.000034280176,0.00015412456,0.00008987408,0.96435183,0.0019561755,0.027946454,0.0011664055,0.0027756034],"study_design_scores_gemma":[0.0000033887793,0.0000065886384,0.000050752566,0.0000015995191,0.0000035563146,0.000004407721,0.000008061774,0.998793,0.000038034217,0.0010387391,0.00004959022,0.0000023267296],"about_ca_topic_score_codex":0.034746848,"about_ca_topic_score_gemma":0.0120600555,"teacher_disagreement_score":0.034746848,"about_ca_system_score_codex":0.0036415881,"about_ca_system_score_gemma":0.0031780167,"threshold_uncertainty_score":0.069089234},"labels":[],"label_agreement":null},{"id":"W4285209996","doi":"10.1109/tvt.2022.3182335","title":"Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":71,"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 Waterloo","funders":"Tsinghua University; National Natural Science Foundation of China","keywords":"Computer network; Computer science; Relay; Hop (telecommunications); Network packet; Adaptive routing; Routing (electronic design automation); Packet switching; Dynamic Source Routing; Routing protocol; Distributed computing","score_opus":0.010059662828273055,"score_gpt":0.216762537552299,"score_spread":0.20670287472402593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285209996","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":[0.030029695,0.00053958886,0.96634257,0.00038893567,0.0000641344,0.00003751899,0.000022157536,0.00019752809,0.002377939],"genre_scores_gemma":[0.9247927,0.0003986687,0.07161987,0.00017842135,0.000059453967,0.000079888465,0.000053119937,0.00003305147,0.0027848524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997414,0.000074132375,0.00001386206,0.00006983779,0.000047595677,0.00005328298],"domain_scores_gemma":[0.9993813,0.00031892478,0.00010133374,0.000028631874,0.000119596,0.000050073693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072694913,0.0006598438,0.00085408316,0.00034430803,0.00039656973,0.0007725438,0.0015693061,0.00094299467,0.0009974764],"category_scores_gemma":[0.0012858099,0.00033592945,0.00041219394,0.00031135973,0.00059611484,0.0010195908,0.0007464898,0.0010164657,0.00013411211],"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":[0.000031842468,0.000031571417,0.0005452197,0.000029052211,0.000024778374,0.00005813261,0.000032893917,0.9757076,0.0006708827,0.004517873,0.0004939656,0.017856235],"study_design_scores_gemma":[0.0000020093737,0.000007884554,0.000019572555,9.216901e-7,0.0000020983923,0.000003412666,0.0000033013603,0.9992982,0.00005738661,0.0005384786,0.0000656737,9.4789635e-7],"about_ca_topic_score_codex":0.006143595,"about_ca_topic_score_gemma":0.0036593645,"teacher_disagreement_score":0.006143595,"about_ca_system_score_codex":0.0009233337,"about_ca_system_score_gemma":0.00089486927,"threshold_uncertainty_score":0.012215674},"labels":[],"label_agreement":null},{"id":"W4285228084","doi":"10.1109/tvt.2022.3184026","title":"Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Business; Telecommunications; Computer security","score_opus":0.016982132792011717,"score_gpt":0.24517753023805358,"score_spread":0.22819539744604186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285228084","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":[0.10120013,0.00020650914,0.8934973,0.00034229562,0.00005926779,0.00016807897,0.00008085541,0.00037712426,0.004068524],"genre_scores_gemma":[0.9276537,0.00006872454,0.06988268,0.000055539615,0.000018423652,0.00005901869,0.000058281392,0.000030527204,0.0021730883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978758,0.000921985,0.00013631461,0.0003553903,0.00033328822,0.0003771953],"domain_scores_gemma":[0.9972927,0.0014378224,0.00028773604,0.00039678314,0.00032027907,0.0002646553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031895617,0.0005444511,0.0012388952,0.0005030742,0.0009956766,0.002121711,0.002051831,0.001313199,0.0024697431],"category_scores_gemma":[0.005741118,0.00042546177,0.00079910376,0.0009138776,0.0009300205,0.0030170397,0.0016904563,0.0009600016,0.00030100407],"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":[0.0008135812,0.00043151586,0.0020920862,0.00013707293,0.000107347194,0.0008807318,0.00027846664,0.76972777,0.0059406245,0.13266458,0.0030741952,0.08385205],"study_design_scores_gemma":[0.000023757035,0.000035366058,0.00008943181,0.0000034860964,0.0000063236166,0.00006716562,0.000027466363,0.9770874,0.0006595518,0.021392155,0.0006013451,0.000006542331],"about_ca_topic_score_codex":0.0031592683,"about_ca_topic_score_gemma":0.0027343286,"teacher_disagreement_score":0.0031895617,"about_ca_system_score_codex":0.0013954823,"about_ca_system_score_gemma":0.0014010986,"threshold_uncertainty_score":0.016868234},"labels":[],"label_agreement":null},{"id":"W4285247717","doi":"10.1109/tvt.2022.3185225","title":"EXIT-Aided Scheduled Iterative MIMO Detection Under Non-Homogeneous Antenna Propagation Gain Scenarios","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"Huawei Technologies (Canada); University of Alberta","funders":"National Natural Science Foundation of China","keywords":"MIMO; Low-density parity-check code; Fading; Algorithm; Decoding methods; Computer science; 3G MIMO; Computational complexity theory; Bit error rate; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.007200716703567898,"score_gpt":0.20980030924731116,"score_spread":0.20259959254374327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285247717","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":[0.028838845,0.000079750585,0.96920365,0.00006372469,0.000020992982,0.00003035044,0.00003143978,0.000272338,0.0014588448],"genre_scores_gemma":[0.7934322,0.00016307391,0.2039347,0.00009315521,0.000031645868,0.00006739276,0.00012615757,0.000037559726,0.002114077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914587,0.0002819498,0.00004067551,0.00013796799,0.00024690825,0.00014655499],"domain_scores_gemma":[0.99791723,0.0011063461,0.00024069774,0.00025759835,0.0004023689,0.0000758822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009654481,0.0009982369,0.00060294545,0.00042647205,0.00043118122,0.0007296865,0.00077894947,0.00056529697,0.00070605223],"category_scores_gemma":[0.004491358,0.00026921462,0.0004598921,0.00043541237,0.00079091475,0.0010701566,0.0011375704,0.00074844476,0.00025214802],"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":[0.00056670513,0.00010116683,0.0024072086,0.00012665056,0.00007038176,0.00037887465,0.00035867165,0.8055777,0.03715037,0.044113602,0.0011613178,0.107987314],"study_design_scores_gemma":[0.000009046045,0.000068407986,0.00013307284,0.0000042502697,0.000007285024,0.00007099331,0.000012569339,0.9883084,0.008153513,0.0029932188,0.00022928025,0.000009891205],"about_ca_topic_score_codex":0.0016366739,"about_ca_topic_score_gemma":0.0025577329,"teacher_disagreement_score":0.0016366739,"about_ca_system_score_codex":0.0005504789,"about_ca_system_score_gemma":0.0014914584,"threshold_uncertainty_score":0.005105853},"labels":[],"label_agreement":null},{"id":"W4285276323","doi":"10.1109/tvt.2022.3184804","title":"Improving Dual-UAV Aided Ground-UAV Bi-Directional Communication Security: Joint UAV Trajectory and Transmit Power Optimization","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":45,"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":"Transmitter power output; Computer science; Trajectory; Real-time computing; Communications system; Transmitter; Computer network","score_opus":0.005321697648864511,"score_gpt":0.18116671302398812,"score_spread":0.17584501537512362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285276323","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":[0.06961093,0.00053232163,0.9255509,0.0002684496,0.000054356275,0.000030842937,0.000043633194,0.00019051765,0.0037181603],"genre_scores_gemma":[0.9615861,0.00021305171,0.035954278,0.00005916344,0.000019436493,0.00003089358,0.000045982248,0.000020240961,0.0020707548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994104,0.000159147,0.000021505773,0.00012300532,0.00015091363,0.00013498287],"domain_scores_gemma":[0.99945,0.00022213977,0.00010565872,0.000057699915,0.000107829415,0.000056597877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005770535,0.0009447253,0.0008662749,0.00033615262,0.00042861642,0.000914625,0.0006217702,0.00075813377,0.0011131003],"category_scores_gemma":[0.0012034515,0.0003521936,0.00041234033,0.00048801178,0.00054308545,0.0011151131,0.0012450023,0.0008060122,0.0002680511],"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":[0.00011159217,0.00004398687,0.0006456643,0.000044886743,0.000030368614,0.00011046977,0.0000457289,0.96867764,0.0057701357,0.005034415,0.00047422963,0.019010818],"study_design_scores_gemma":[0.0000056684285,0.000042227253,0.00007910138,0.0000020261734,0.0000048824377,0.000022932758,0.000009508795,0.9982451,0.0006776723,0.0007429049,0.00016478694,0.000003245412],"about_ca_topic_score_codex":0.0027259337,"about_ca_topic_score_gemma":0.0020952865,"teacher_disagreement_score":0.0027259337,"about_ca_system_score_codex":0.0005557707,"about_ca_system_score_gemma":0.0011612329,"threshold_uncertainty_score":0.005420208},"labels":[],"label_agreement":null},{"id":"W4285291736","doi":"10.1109/tvt.2022.3185562","title":"Air-to-Ground Cellular Communications for Airplane Maintenance Data Offloading","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","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":"Huawei Technologies (Canada); University of Waterloo","funders":"University of Waterloo","keywords":"Airplane; Bandwidth (computing); Beamforming; Transmitter power output; Computer science; Base station; Interference (communication); Electronic engineering; Electrical engineering; Engineering; Transmitter; Telecommunications; Aerospace engineering","score_opus":0.041566080206429136,"score_gpt":0.2551926740266662,"score_spread":0.21362659382023705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285291736","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29362133,0.0013050083,0.68731356,0.0007073119,0.00012811105,0.0001234085,0.00030652568,0.0007005808,0.015794214],"genre_scores_gemma":[0.96999186,0.00029550775,0.027467355,0.000058570466,0.000025341467,0.00003154488,0.00011133361,0.000016055104,0.0020023955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965477,0.0000908037,0.000008410484,0.000054216714,0.00008032702,0.00011141301],"domain_scores_gemma":[0.9994825,0.00023467404,0.00006533564,0.00006802111,0.00011244278,0.000037017686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025027813,0.0007862149,0.00038695434,0.0002606798,0.0003926402,0.0007686668,0.00051170256,0.000581236,0.002085214],"category_scores_gemma":[0.0010053344,0.00010538997,0.0002459588,0.0006151056,0.00035934625,0.00054310175,0.00049971556,0.00038227296,0.00032371443],"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":[0.0002896666,0.00012621982,0.0032870797,0.00011419606,0.00002925947,0.00017458314,0.0000611843,0.84198016,0.021313297,0.0064171427,0.0034617821,0.12274536],"study_design_scores_gemma":[0.000009873462,0.00012616222,0.0012944109,0.0000092677255,0.0000181931,0.00005623972,0.000077381184,0.98905456,0.0053668953,0.0019499128,0.0020285891,0.00000852948],"about_ca_topic_score_codex":0.00707412,"about_ca_topic_score_gemma":0.010506333,"teacher_disagreement_score":0.00707412,"about_ca_system_score_codex":0.00093129335,"about_ca_system_score_gemma":0.00081054674,"threshold_uncertainty_score":0.014065862},"labels":[],"label_agreement":null},{"id":"W4285414191","doi":"10.1109/tvt.2022.3190515","title":"Cooperative Beamforming for Reconfigurable Intelligent Surface-Assisted Symbiotic Radios","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":47,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Beamforming; Transmitter; Channel state information; Transmitter power output; Computer science; Electronic engineering; Channel (broadcasting); Signal-to-noise ratio (imaging); Interference (communication); Information transfer; Wireless; Engineering; Computer network; Telecommunications","score_opus":0.01846873725277629,"score_gpt":0.23847481351916586,"score_spread":0.22000607626638957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285414191","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":[0.08493678,0.00037243307,0.9081977,0.00011009635,0.000047727466,0.000021629303,0.000021748234,0.00016674004,0.0061250804],"genre_scores_gemma":[0.9327201,0.00022200306,0.0641186,0.00005985996,0.000025053614,0.000042483844,0.000020500356,0.000017679997,0.0027737657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999716,0.00007552421,0.000007892125,0.00007015363,0.000083690924,0.000046833044],"domain_scores_gemma":[0.9997608,0.000097195356,0.00006356459,0.000023850069,0.00003911148,0.00001552445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002542919,0.00063034013,0.00040634663,0.0001780795,0.00017481233,0.00055789977,0.00045739004,0.00048080846,0.00083241094],"category_scores_gemma":[0.00042234157,0.00017455066,0.00032914453,0.00027622186,0.0005732425,0.0005203565,0.0005682855,0.0003362661,0.00032701515],"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":[0.00017791228,0.00005156413,0.0011827566,0.00013883627,0.00008330792,0.0004946346,0.0001957995,0.7713694,0.14073703,0.020732488,0.0005173076,0.06431895],"study_design_scores_gemma":[0.0000119670785,0.00021885168,0.00028149795,0.000005424095,0.000016081027,0.000097831544,0.000046376008,0.9855628,0.00931999,0.0030076257,0.0014181386,0.000013343775],"about_ca_topic_score_codex":0.00036158194,"about_ca_topic_score_gemma":0.00038183882,"teacher_disagreement_score":0.00083241094,"about_ca_system_score_codex":0.00029437503,"about_ca_system_score_gemma":0.00020825786,"threshold_uncertainty_score":0.0027846694},"labels":[],"label_agreement":null},{"id":"W4285819854","doi":"10.1109/tvt.2022.3191490","title":"Dual Dynamic Programming for the Mean Standard Deviation Canadian Traveller Problem","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":4,"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":"Agency for Science, Technology and Research","keywords":"Standard deviation; Computer science; Benchmark (surveying); Linear programming; Dynamic programming; Mathematics; Mathematical optimization; Statistics; Algorithm","score_opus":0.007403918407990373,"score_gpt":0.21347775847024203,"score_spread":0.20607384006225166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285819854","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":[0.021836085,0.00085816596,0.9601587,0.0015158954,0.00018445567,0.00013780604,0.00045158967,0.00020294481,0.014654457],"genre_scores_gemma":[0.6700927,0.001569858,0.29121783,0.00078937825,0.00026392908,0.0006408405,0.0010702169,0.0003651646,0.03399007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998681,0.0005019018,0.000036717203,0.0002663626,0.00024964675,0.000264377],"domain_scores_gemma":[0.9975503,0.0016065992,0.00018122223,0.00007107317,0.0003651003,0.00022571869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002343218,0.0016127601,0.0017815289,0.0011312659,0.00091268984,0.0022542838,0.0020267998,0.0019863585,0.007824028],"category_scores_gemma":[0.0068584657,0.00072584534,0.001034757,0.0013555308,0.001676873,0.0018834333,0.0018715122,0.0032334756,0.0004937899],"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":[0.00013483301,0.00006990777,0.0005237433,0.00014007812,0.000051322535,0.000098262295,0.00008149711,0.85436124,0.00032827962,0.12128519,0.0057340334,0.017191555],"study_design_scores_gemma":[0.000019528627,0.000021761629,0.00008643536,0.0000113396145,0.000008055336,0.000016835178,0.000021649144,0.96474475,0.000113794325,0.033505443,0.0014379184,0.0000125165225],"about_ca_topic_score_codex":0.04062813,"about_ca_topic_score_gemma":0.028756293,"teacher_disagreement_score":0.04062813,"about_ca_system_score_codex":0.0050265985,"about_ca_system_score_gemma":0.0070686503,"threshold_uncertainty_score":0.08078331},"labels":[],"label_agreement":null},{"id":"W4288062348","doi":"10.1109/tvt.2022.3193887","title":"Group Delay-Aware Scalable Mobile Edge Computing Using Service Replication","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Server; Mobile edge computing; Scalability; Computer network; Distributed computing; Enhanced Data Rates for GSM Evolution; Replication (statistics); Solver; Resource allocation; Edge computing; Greedy algorithm; Linear programming; Algorithm; Mathematics; Operating system","score_opus":0.01743538871318506,"score_gpt":0.25124265290302317,"score_spread":0.2338072641898381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288062348","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":[0.1291288,0.00058235374,0.8648763,0.00036035184,0.0001229455,0.00013038458,0.00006167124,0.00075960555,0.003977563],"genre_scores_gemma":[0.9403505,0.00010285501,0.058188874,0.00006243495,0.00002890907,0.000052828615,0.00003875728,0.000033578563,0.0011413037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994394,0.00012385572,0.000023002867,0.0001340168,0.00013651402,0.00014310163],"domain_scores_gemma":[0.99935573,0.00027868338,0.00007868246,0.00010625046,0.000104349616,0.00007638889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007016296,0.00072648615,0.00095300993,0.00031943925,0.0007093181,0.00083779026,0.00139901,0.0005864987,0.0011780406],"category_scores_gemma":[0.0014240058,0.00023072923,0.0004216555,0.0006629113,0.0004646633,0.0011406613,0.001093585,0.0006041307,0.0001828306],"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":[0.000469387,0.00013615722,0.000714086,0.00008435815,0.000054219337,0.00020399445,0.0001276371,0.89858085,0.020361545,0.0095505165,0.0019276324,0.067789726],"study_design_scores_gemma":[0.000013233823,0.000047936195,0.000058555364,0.0000018075718,0.000006582329,0.000023231132,0.000022039518,0.99578035,0.001334665,0.0023545572,0.00035156196,0.000005463691],"about_ca_topic_score_codex":0.0036928428,"about_ca_topic_score_gemma":0.0048912717,"teacher_disagreement_score":0.0036928428,"about_ca_system_score_codex":0.0008051977,"about_ca_system_score_gemma":0.0010596884,"threshold_uncertainty_score":0.007342696},"labels":[],"label_agreement":null},{"id":"W4288064796","doi":"10.1109/tvt.2022.3194206","title":"Decentralized CRL Management for Vehicular Networks With Permissioned Blockchain","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":8,"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":"National Natural Science Foundation of China","keywords":"Revocation; Revocation list; Computer science; Computer security; Computer network; Authentication (law); Vehicular ad hoc network; Blockchain; Public key infrastructure; Process (computing); Wireless ad hoc network; Public-key cryptography; Wireless; Encryption; Telecommunications; Overhead (engineering)","score_opus":0.007360915773050745,"score_gpt":0.22049356863533282,"score_spread":0.21313265286228206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288064796","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":[0.091142274,0.0004457515,0.89884454,0.00045222882,0.00010244499,0.0003137326,0.0001271254,0.001724738,0.006847219],"genre_scores_gemma":[0.9654927,0.00013761023,0.030792104,0.00003742552,0.000027464363,0.0001148674,0.000098188815,0.00003184379,0.0032677443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869746,0.00028266147,0.000100475394,0.000298194,0.0004190989,0.00020211445],"domain_scores_gemma":[0.99869126,0.00028408796,0.0001908794,0.0004124285,0.00029333853,0.00012801503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010307127,0.00033589857,0.00055277,0.0004997734,0.0010488918,0.0013141405,0.0014173142,0.00063309434,0.0026519303],"category_scores_gemma":[0.0020116474,0.00023144575,0.00024393818,0.0005890659,0.0007092306,0.0023918913,0.0018677419,0.0005562452,0.00050712825],"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":[0.00086061365,0.00028360492,0.0032632563,0.00039675005,0.000077714634,0.001262488,0.0010370937,0.50854164,0.071593165,0.10744043,0.0061916597,0.29905152],"study_design_scores_gemma":[0.000072208466,0.00011606745,0.00023628019,0.000013121964,0.000015910015,0.00014704476,0.0001225878,0.96429735,0.010252064,0.017666634,0.0070330626,0.000027661006],"about_ca_topic_score_codex":0.0027824182,"about_ca_topic_score_gemma":0.0038924965,"teacher_disagreement_score":0.0027824182,"about_ca_system_score_codex":0.0008903022,"about_ca_system_score_gemma":0.0016049944,"threshold_uncertainty_score":0.008871615},"labels":[],"label_agreement":null},{"id":"W4289792506","doi":"10.1109/tvt.2022.3196603","title":"Multi-User Downlink Beamforming Using Uplink Downlink Duality With 1-Bit Converters for Flat Fading Channels","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"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 Manitoba","funders":"National Science Foundation of Sri Lanka; Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Quantization (signal processing); Beamforming; Electronic engineering; Computer science; Base station; Duality (order theory); Fading; Converters; Algorithm; Decoding methods; Mathematics; Engineering; Electrical engineering; Computer network","score_opus":0.016738767208386383,"score_gpt":0.24016952285095786,"score_spread":0.22343075564257148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289792506","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":[0.010096167,0.0001302266,0.98614776,0.00006223441,0.000017231398,0.000017794204,0.000022117367,0.0001027583,0.003403689],"genre_scores_gemma":[0.5958467,0.00067155185,0.39487216,0.00022438065,0.00008967171,0.00017852,0.00015831477,0.00006831779,0.007890521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952674,0.00019335884,0.0000178696,0.000048958005,0.00013804743,0.00007495273],"domain_scores_gemma":[0.9997303,0.00012356963,0.000034175773,0.000040097595,0.000054008444,0.000017884864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051758636,0.00073666754,0.00056800665,0.00026304513,0.0002924432,0.0008338387,0.00037904058,0.0006509483,0.002638824],"category_scores_gemma":[0.0008823247,0.00031437623,0.00051349815,0.0007178611,0.00047034776,0.0006989441,0.0009243403,0.00060868624,0.001093744],"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":[0.00023270253,0.00012969818,0.0008882225,0.00018997156,0.00006782869,0.0002795604,0.00019404976,0.68751794,0.04035052,0.07088661,0.0028055075,0.19645737],"study_design_scores_gemma":[0.000022250162,0.00010590348,0.00016637043,0.000015178647,0.00001433029,0.00015913481,0.000043971166,0.9752808,0.010793402,0.010977387,0.0023989074,0.000022207234],"about_ca_topic_score_codex":0.00077295647,"about_ca_topic_score_gemma":0.0012542438,"teacher_disagreement_score":0.002638824,"about_ca_system_score_codex":0.00034586384,"about_ca_system_score_gemma":0.00074742624,"threshold_uncertainty_score":0.008827746},"labels":[],"label_agreement":null},{"id":"W4289822001","doi":"10.1109/tvt.2022.3195216","title":"Transmission Optimization and Resource Allocation for Wireless Powered Dense Vehicle Area Network With Energy Recycling","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Computer science; Wireless; Resource allocation; Transmitter; Transmission (telecommunications); Energy harvesting; Energy consumption; Transmitter power output; Throughput; Optimization problem; Wireless network; Convex optimization; Computer network; Electronic engineering; Energy (signal processing); Engineering; Telecommunications; Channel (broadcasting); Electrical engineering; Algorithm","score_opus":0.00625244892619706,"score_gpt":0.18097495691087603,"score_spread":0.17472250798467898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289822001","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":[0.032656524,0.0005397414,0.96316504,0.00017879355,0.000028363835,0.000038688428,0.000030322417,0.00009187665,0.0032706484],"genre_scores_gemma":[0.9240111,0.0006592367,0.07147942,0.000087931,0.000034573764,0.00014118456,0.000057428104,0.000042846754,0.0034863015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995378,0.00017798084,0.000016265918,0.00008655179,0.00008937489,0.00009201439],"domain_scores_gemma":[0.9996414,0.00020971142,0.00005040625,0.000020265452,0.000056781413,0.000021434322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008239637,0.00087562285,0.00079774717,0.00044414512,0.00042878804,0.0008146426,0.0007776405,0.0005512039,0.0011035685],"category_scores_gemma":[0.0011375454,0.0003928182,0.00041541122,0.00076028507,0.00065762235,0.0010475313,0.0009293871,0.0005377416,0.00016159464],"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":[0.000040464038,0.000031682113,0.00025996222,0.000047172092,0.00002355951,0.000070761045,0.00004681455,0.97183055,0.0024051096,0.008818109,0.0005840115,0.015841829],"study_design_scores_gemma":[0.0000032168716,0.000016283737,0.000053510987,0.0000016528445,0.0000046192636,0.000012674267,0.000015073272,0.9971386,0.00025670824,0.0023220263,0.00017260665,0.0000029856908],"about_ca_topic_score_codex":0.0029939532,"about_ca_topic_score_gemma":0.0027129967,"teacher_disagreement_score":0.0029939532,"about_ca_system_score_codex":0.00095699023,"about_ca_system_score_gemma":0.0009218482,"threshold_uncertainty_score":0.006943524},"labels":[],"label_agreement":null},{"id":"W4290993799","doi":"10.1109/tvt.2022.3198004","title":"VRepChain: A Decentralized and Privacy-Preserving Reputation System for Social Internet of Vehicles Based on Blockchain","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Research (Canada)","funders":"National Natural Science Foundation of China","keywords":"Reputation; Reputation system; Blockchain; Computer science; Computer security; Robustness (evolution); The Internet; Internet privacy; Context (archaeology); Information privacy; Honesty; Process (computing); Privacy by Design; Privacy protection; World Wide Web","score_opus":0.01264289927032239,"score_gpt":0.23953703839285004,"score_spread":0.22689413912252765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290993799","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06887614,0.0006172557,0.9150275,0.00064042583,0.00021105674,0.00051213475,0.00032271977,0.00426373,0.009529045],"genre_scores_gemma":[0.934436,0.000333407,0.05818933,0.00010135865,0.000070786075,0.00020864652,0.00042383597,0.00006333807,0.0061732614],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895537,0.00025427557,0.00009244501,0.00020873293,0.00035469525,0.00013444705],"domain_scores_gemma":[0.99870944,0.00022068381,0.0001875806,0.0003208093,0.00038168035,0.00017979424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009981104,0.00039030757,0.00075042876,0.0006010987,0.0011013435,0.0011492086,0.0016425295,0.0008756746,0.0025395693],"category_scores_gemma":[0.0026925465,0.00028857478,0.0003209821,0.00068577786,0.00061428663,0.002549229,0.0020559425,0.0007257886,0.00095038395],"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":[0.0014418407,0.0006328231,0.007553174,0.0007132019,0.00025175588,0.0026177897,0.0009032758,0.35819262,0.047549278,0.10579452,0.026391588,0.4479581],"study_design_scores_gemma":[0.00013477875,0.00028736843,0.0007240671,0.0000248323,0.000047453177,0.00053413655,0.00008125923,0.95922273,0.007698355,0.015258464,0.015912177,0.000074364274],"about_ca_topic_score_codex":0.0041250223,"about_ca_topic_score_gemma":0.0039970707,"teacher_disagreement_score":0.0041250223,"about_ca_system_score_codex":0.0007067358,"about_ca_system_score_gemma":0.002075491,"threshold_uncertainty_score":0.008495748},"labels":[],"label_agreement":null},{"id":"W4290994924","doi":"10.1109/tvt.2022.3198095","title":"Efficient Simplified Current Sensorless Dynamic Direct Voltage MTPA of Interior PMSM for Electric Vehicles Operation","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":44,"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","keywords":"Control theory (sociology); Voltage; Transient (computer programming); Controller (irrigation); Torque; Efficient energy use; Ampere; Engineering; Computer science; Control (management); Electrical engineering; Physics","score_opus":0.00676026547574611,"score_gpt":0.2241934769538829,"score_spread":0.2174332114781368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290994924","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":[0.031139718,0.00052448094,0.9619201,0.000083750805,0.00007310905,0.00008456382,0.00004608516,0.00061858894,0.005509618],"genre_scores_gemma":[0.92069685,0.0002453894,0.07642353,0.00003824479,0.000031265285,0.00006167686,0.00008826836,0.000022424707,0.0023923293],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981457,0.000028448654,0.000011304509,0.000033987264,0.000100654666,0.0000109452385],"domain_scores_gemma":[0.99984133,0.000034594206,0.00003427076,0.000032393786,0.000050173334,0.0000071783643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001333863,0.00037607425,0.00034276908,0.00025959103,0.00013952215,0.000357467,0.00051692914,0.0002239361,0.0012356632],"category_scores_gemma":[0.00033840773,0.00011984459,0.00017126556,0.00018687268,0.00017605738,0.0004431137,0.00022484087,0.0002745002,0.00034294606],"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":[0.00029085594,0.0001184284,0.0012452508,0.00079851056,0.000049647762,0.00020732073,0.00014775863,0.055208553,0.32401106,0.009704508,0.0025974486,0.6056207],"study_design_scores_gemma":[0.000093180635,0.0012516264,0.00525254,0.00006957131,0.000054858116,0.00088278844,0.000083335544,0.79392505,0.15651771,0.005113219,0.036718804,0.000037408056],"about_ca_topic_score_codex":0.00036012664,"about_ca_topic_score_gemma":0.00061832496,"teacher_disagreement_score":0.0012356632,"about_ca_system_score_codex":0.0001529186,"about_ca_system_score_gemma":0.00021734872,"threshold_uncertainty_score":0.0041337013},"labels":[],"label_agreement":null},{"id":"W4291722333","doi":"10.1109/tvt.2022.3175971","title":"Secure Transmission for MISO Wiretap Channels Using General Multi-Fractional Fourier Transform: An Approach in Signal Domain","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","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":false,"ca_institutions":"University of Windsor","funders":"Natural Science Foundation of Heilongjiang Province; National Natural Science Foundation of China","keywords":"Artificial noise; Transmitter; Transmission (telecommunications); Computer science; Secure transmission; Interference (communication); Superposition principle; Transmitter power output; SIGNAL (programming language); Noise (video); Electronic engineering; Signal-to-noise ratio (imaging); Channel (broadcasting); Telecommunications; Mathematics; Engineering; Artificial intelligence","score_opus":0.024563900415730016,"score_gpt":0.2668105868319682,"score_spread":0.24224668641623817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291722333","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":[0.0316903,0.0011516646,0.962302,0.0003040641,0.00009295514,0.00003335905,0.000022882712,0.00013591704,0.004266875],"genre_scores_gemma":[0.8271521,0.0017457248,0.16739544,0.00020931325,0.000113539725,0.0000736181,0.000038572227,0.00002427723,0.0032475716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996531,0.000098352226,0.000019936318,0.00005203282,0.00013471262,0.000041897594],"domain_scores_gemma":[0.99969816,0.000107804866,0.000061386825,0.00006387081,0.000056930712,0.000011833202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039164117,0.00061430945,0.00044401412,0.0003798016,0.0005258845,0.00062151096,0.0004695146,0.0006835991,0.0009530645],"category_scores_gemma":[0.00061666087,0.00016690993,0.00042148307,0.00047510533,0.0008550786,0.0014838673,0.0007053515,0.00080683746,0.0002484785],"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":[0.0005699376,0.00012362606,0.0015374653,0.0006187809,0.00013904671,0.0010508747,0.0005895072,0.1985261,0.19498973,0.38224965,0.0029580386,0.2166473],"study_design_scores_gemma":[0.000026186519,0.00024118226,0.00024418332,0.00004061638,0.000042365136,0.0006855074,0.00007697894,0.9375949,0.034358416,0.02114264,0.0054950872,0.00005193646],"about_ca_topic_score_codex":0.0004247795,"about_ca_topic_score_gemma":0.00044142522,"teacher_disagreement_score":0.0009530645,"about_ca_system_score_codex":0.00041588888,"about_ca_system_score_gemma":0.00030452127,"threshold_uncertainty_score":0.0031883717},"labels":[],"label_agreement":null},{"id":"W4293150277","doi":"10.1109/tvt.2022.3170572","title":"Decentralized Robust Control for Vehicle Platooning Subject to Uncertain Disturbances via Super-Twisting Second-Order Sliding-Mode Observer Technique","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":55,"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 Waterloo","funders":"National Postdoctoral Program for Innovative Talents; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Platoon; Control theory (sociology); Robustness (evolution); Vehicle dynamics; Lyapunov function; Sliding mode control; Robust control; Convergence (economics); Engineering; Observer (physics); Lyapunov stability; Controller (irrigation); State observer; Control engineering; Stability (learning theory); Computer science; Control system; Control (management); Nonlinear system; Automotive engineering; Artificial intelligence","score_opus":0.011491366416717726,"score_gpt":0.21936584427657563,"score_spread":0.2078744778598579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293150277","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":[0.026656356,0.000090313864,0.9713209,0.000057944148,0.000035820034,0.000019948757,0.000016010332,0.00021281047,0.0015899001],"genre_scores_gemma":[0.98622143,0.00009619496,0.012668254,0.000021035663,0.000020931362,0.000039460458,0.00003423914,0.000010454673,0.0008879437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997099,0.000049498092,0.000016177344,0.00007194887,0.0001070283,0.000045340377],"domain_scores_gemma":[0.9996457,0.00009052291,0.00011846813,0.000044164575,0.00008121606,0.000019903382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044210092,0.0005537835,0.00051745516,0.00020742217,0.0002501209,0.0005010071,0.0005229493,0.0002963979,0.00072306994],"category_scores_gemma":[0.0007209816,0.00020649354,0.00041410368,0.00020840426,0.00047298582,0.0004055707,0.0007104151,0.0005911401,0.00009454543],"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":[0.0001508374,0.000037397593,0.0006935021,0.00013663186,0.000043878732,0.00015554715,0.00016346722,0.9099312,0.034263317,0.012334276,0.00059962994,0.04149035],"study_design_scores_gemma":[0.000009674195,0.00007281162,0.0001359601,0.0000022581783,0.0000044054345,0.000012807319,0.0000062909717,0.99758506,0.00118762,0.00068891275,0.00029132536,0.0000028290697],"about_ca_topic_score_codex":0.0029156446,"about_ca_topic_score_gemma":0.002066298,"teacher_disagreement_score":0.0029156446,"about_ca_system_score_codex":0.00031035327,"about_ca_system_score_gemma":0.00058450975,"threshold_uncertainty_score":0.0057973266},"labels":[],"label_agreement":null},{"id":"W4293255345","doi":"10.1109/tvt.2022.3151806","title":"Latency Minimization of Reverse Offloading in Vehicular Edge Computing","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":93,"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 Windsor","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Minification; Computer science; Edge computing; Latency (audio); Computer network; Enhanced Data Rates for GSM Evolution; Embedded system; Real-time computing; Artificial intelligence; Telecommunications","score_opus":0.01119937483334465,"score_gpt":0.22412529942431392,"score_spread":0.21292592459096926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293255345","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":[0.09956929,0.0008573349,0.8915711,0.00027966304,0.00007066122,0.00007168306,0.000062770545,0.0002951057,0.007222317],"genre_scores_gemma":[0.9696525,0.00025670658,0.028222017,0.000056367942,0.000019377441,0.000053149895,0.000054051587,0.000035019013,0.0016508591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993591,0.00013721635,0.000028281593,0.0001279579,0.00013170694,0.00021571458],"domain_scores_gemma":[0.9995635,0.00020772676,0.00005046109,0.000041811858,0.000094333984,0.000042188967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278814,0.00092868076,0.0006925025,0.00030087956,0.0006482747,0.0009717941,0.0008828683,0.00045544788,0.001417107],"category_scores_gemma":[0.0013053009,0.00028931088,0.00037852547,0.00056075,0.000496678,0.0009746334,0.0009955675,0.00045456694,0.00019190062],"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":[0.00021519407,0.00007052171,0.0008543893,0.00013287405,0.000024029137,0.0001580795,0.00010963191,0.9236496,0.007886869,0.011986707,0.0016436157,0.0532684],"study_design_scores_gemma":[0.0000054922407,0.00003574471,0.00010045754,0.0000039565844,0.000005871951,0.00002985466,0.000035032826,0.99586666,0.00097032246,0.0026545918,0.0002871304,0.0000049811415],"about_ca_topic_score_codex":0.0047086696,"about_ca_topic_score_gemma":0.005038845,"teacher_disagreement_score":0.0047086696,"about_ca_system_score_codex":0.0008162168,"about_ca_system_score_gemma":0.0012873006,"threshold_uncertainty_score":0.009362519},"labels":[],"label_agreement":null},{"id":"W4294982862","doi":"10.1109/tvt.2022.3205012","title":"Spectral-Energy Efficiency and Power Allocation in Full-Duplex Networks: The Effects of Hardware Impairment and Nakagami-$m$ Fading Channels","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","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":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Nokia Foundation","keywords":"Karush–Kuhn–Tucker conditions; Fading; Nakagami distribution; MIMO; Mathematical optimization; Optimization problem; Wireless; Spectral efficiency; Quality of service; Computer science; Power (physics); Efficient energy use; Transformation (genetics); Channel (broadcasting); Mathematics; Algorithm; Decoding methods; Telecommunications; Engineering; Electrical engineering","score_opus":0.004166270466794131,"score_gpt":0.19039004637522597,"score_spread":0.18622377590843184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294982862","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":[0.35943693,0.0014791833,0.6255822,0.0004065557,0.000056960333,0.00003855761,0.00009125059,0.00014883207,0.012759555],"genre_scores_gemma":[0.9919401,0.00034573287,0.0067906687,0.00003394356,0.000009392307,0.000015122889,0.000009637597,0.000012050984,0.00084340665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950755,0.00020845392,0.000012447026,0.000047249057,0.000101027035,0.0001233296],"domain_scores_gemma":[0.99828255,0.0012821715,0.0001830688,0.00008611118,0.0001279846,0.000038222464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009788596,0.00063230103,0.0006758728,0.00033073302,0.00035867337,0.00094182236,0.00045270644,0.0005911534,0.0009626105],"category_scores_gemma":[0.0033089675,0.00027573275,0.00036857594,0.00060525106,0.001003993,0.0009393167,0.0006979676,0.0005354574,0.00012930577],"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":[0.00005479123,0.000022410382,0.0004004728,0.00004097444,0.0000146139,0.00011481499,0.0000499133,0.9778863,0.00322542,0.011746748,0.0001901539,0.0062534087],"study_design_scores_gemma":[0.0000046749087,0.000022723632,0.00028855028,0.0000060131183,0.0000060846132,0.000045331493,0.000030673436,0.99361116,0.0017258987,0.0040677353,0.00018402992,0.0000070409237],"about_ca_topic_score_codex":0.0026834859,"about_ca_topic_score_gemma":0.002003051,"teacher_disagreement_score":0.0026834859,"about_ca_system_score_codex":0.001066796,"about_ca_system_score_gemma":0.00073483365,"threshold_uncertainty_score":0.00774014},"labels":[],"label_agreement":null},{"id":"W4295308354","doi":"10.1109/tvt.2022.3205625","title":"Towards Age-Optimal Transmission in Satellite-Integrated IoT: A Two-Layer Coding Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","field":"Computer Science","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":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Retransmission; Computer science; Hybrid automatic repeat request; Network packet; Physical layer; PHY; Forward error correction; Erasure; Error detection and correction; Automatic repeat request; Redundancy (engineering); Erasure code; Decoding methods; Bit error rate; Binary erasure channel; Coding (social sciences); Fading; Algorithm; Real-time computing; Channel (broadcasting); Computer network; Channel capacity; Wireless; Telecommunications link; Telecommunications","score_opus":0.014219951553912692,"score_gpt":0.2374731114898323,"score_spread":0.2232531599359196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295308354","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":[0.014450529,0.0008475812,0.97992915,0.0003011309,0.000054460746,0.00002930924,0.000034729357,0.00005714114,0.0042959224],"genre_scores_gemma":[0.8084815,0.0023394197,0.18429972,0.000288808,0.0001257725,0.00014896094,0.000085547435,0.000056843364,0.004173339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995359,0.00014142194,0.000023377754,0.00006280362,0.00015601519,0.000080521255],"domain_scores_gemma":[0.9991504,0.0004309195,0.000103544626,0.000070474394,0.00020659147,0.000038214414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009836935,0.0007721485,0.0005439923,0.00059457286,0.0004423941,0.0010155806,0.00091635826,0.0007557555,0.0011983921],"category_scores_gemma":[0.0023811825,0.00035326747,0.000492157,0.0006089958,0.0012302346,0.0014315029,0.0012711587,0.001063021,0.00021823477],"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":[0.00006173017,0.000033987053,0.0005042868,0.00013379243,0.000032097196,0.00017859612,0.0001988572,0.7567619,0.008241997,0.20686617,0.0010788792,0.025907714],"study_design_scores_gemma":[0.000006148476,0.000022195996,0.000040720202,0.000011803684,0.000007287388,0.000035360787,0.000019547551,0.9795726,0.00079255144,0.018914698,0.00056453614,0.000012490977],"about_ca_topic_score_codex":0.0041317227,"about_ca_topic_score_gemma":0.0025712412,"teacher_disagreement_score":0.0041317227,"about_ca_system_score_codex":0.0012035066,"about_ca_system_score_gemma":0.0014163366,"threshold_uncertainty_score":0.00873208},"labels":[],"label_agreement":null},{"id":"W4295832268","doi":"10.1109/tvt.2022.3206213","title":"Towards Energy-Efficient Data Collection by Unmanned Aerial Vehicle Base Station With NOMA for Emergency Communications in IoT","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":47,"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 Windsor; Western University","funders":"National Natural Science Foundation of China","keywords":"Base station; Default gateway; Computer science; Transmitter power output; Real-time computing; Computer network; Efficient energy use; Power (physics); Drone; Engineering; Electrical engineering","score_opus":0.015368226586928463,"score_gpt":0.23672320526508392,"score_spread":0.22135497867815546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295832268","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":[0.024764929,0.00054526643,0.97092956,0.00022938159,0.000047168338,0.00003713438,0.000025480207,0.0001742286,0.0032469146],"genre_scores_gemma":[0.7240532,0.001028405,0.27204698,0.00020423254,0.00005882996,0.00014695358,0.000107521526,0.000050942283,0.0023029074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974424,0.00008822769,0.000007865058,0.000047687456,0.00006987623,0.000042150506],"domain_scores_gemma":[0.9997986,0.00009126599,0.00003437207,0.000020853362,0.000039562878,0.000015377711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005008312,0.0007524718,0.0004477228,0.00038660297,0.00050610665,0.00067724776,0.0006281623,0.00048876595,0.00052049966],"category_scores_gemma":[0.00070045545,0.00022124188,0.00053713017,0.00079647644,0.00046566495,0.00085334363,0.00085247733,0.00068202533,0.00015400803],"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":[0.0000756683,0.00009635392,0.00088724226,0.000110976216,0.000042847245,0.000120846365,0.00013202488,0.8926116,0.007837782,0.019410836,0.0024125632,0.07626121],"study_design_scores_gemma":[0.0000064102733,0.000045551875,0.0001091842,0.0000034986188,0.0000050478748,0.000018983052,0.000032643835,0.9952075,0.0006873193,0.0032507626,0.000629354,0.0000037475577],"about_ca_topic_score_codex":0.0034759175,"about_ca_topic_score_gemma":0.0041067647,"teacher_disagreement_score":0.0034759175,"about_ca_system_score_codex":0.0005363198,"about_ca_system_score_gemma":0.0008768795,"threshold_uncertainty_score":0.0069113374},"labels":[],"label_agreement":null},{"id":"W4296339049","doi":"10.1109/tvt.2022.3207410","title":"Joint Channel Estimation and Robust Beamforming Design for AF Relaying Using IMM Kalman Filters","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Channel state information; Relay; Kalman filter; Transmitter; Cramér–Rao bound; Computer science; Relay channel; Control theory (sociology); Transmission (telecommunications); Channel (broadcasting); Extended Kalman filter; Electronic engineering; Wireless; Algorithm; Engineering; Estimation theory; Telecommunications; Power (physics); Artificial intelligence","score_opus":0.07392030964891355,"score_gpt":0.26855831618448106,"score_spread":0.1946380065355675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296339049","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":[0.0012691355,0.000082714585,0.99813783,0.000022387432,0.000009756589,0.000008329272,0.000012620355,0.00007249296,0.0003846877],"genre_scores_gemma":[0.54333764,0.00095215125,0.45203957,0.00009847931,0.00011876459,0.00031587607,0.00022098608,0.0000870624,0.0028294232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992873,0.00017547069,0.000044959987,0.00022389556,0.00020254726,0.000065987646],"domain_scores_gemma":[0.9989371,0.0005537752,0.00016646892,0.000077938224,0.00023896588,0.000025703628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010075364,0.0011227727,0.0010514876,0.00043758168,0.00035325586,0.00095124554,0.0010541716,0.0010724192,0.0017115183],"category_scores_gemma":[0.0037340152,0.0005161188,0.00088529737,0.0005186912,0.0006423799,0.0012740241,0.0007829022,0.0010996368,0.0007148709],"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":[0.00006780303,0.000024269933,0.00031917702,0.000117904085,0.00004992259,0.00006518564,0.00010899479,0.906888,0.0051583475,0.014358097,0.00059491466,0.07224742],"study_design_scores_gemma":[0.000006309688,0.000044482204,0.000064277425,0.000006647088,0.000010298197,0.000024474162,0.000009690576,0.99598527,0.0008654948,0.0023667326,0.0006070139,0.000009420732],"about_ca_topic_score_codex":0.0034345062,"about_ca_topic_score_gemma":0.0026282507,"teacher_disagreement_score":0.0034345062,"about_ca_system_score_codex":0.00053593377,"about_ca_system_score_gemma":0.0011662724,"threshold_uncertainty_score":0.0068290234},"labels":[],"label_agreement":null},{"id":"W4297094627","doi":"10.1109/tvt.2022.3209339","title":"Ensuring the Compatibility of Autonomous Electric Vehicles Components Through a Formal Approach Based on Interaction Protocols","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Software Engineering Methodologies","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":"University of Ottawa","funders":"","keywords":"Computer science; Systems Modeling Language; Automaton; Compatibility (geochemistry); Formalism (music); Automotive industry; Distributed computing; Component (thermodynamics); Formal verification; Software engineering; Systems engineering; Unified Modeling Language; Theoretical computer science; Programming language; Engineering; Software","score_opus":0.04910544146674536,"score_gpt":0.29389139110468965,"score_spread":0.24478594963794428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297094627","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036842995,0.00008883574,0.99446845,0.00012134916,0.000023466931,0.000086254186,0.000022649645,0.00026565473,0.0012390995],"genre_scores_gemma":[0.20872758,0.00066385354,0.7863218,0.00017181183,0.00011656933,0.0007122992,0.00018512964,0.0002130996,0.0028878152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99413514,0.002310702,0.0005183945,0.00068762654,0.0019766032,0.0003714614],"domain_scores_gemma":[0.9917241,0.0047622183,0.00068012625,0.0014806753,0.001193981,0.000159014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045983465,0.000985842,0.0005630648,0.0016117631,0.001094643,0.003556657,0.0022732918,0.0015059119,0.0015313195],"category_scores_gemma":[0.009825068,0.0009528447,0.0024959217,0.0007747908,0.0041923583,0.0036987523,0.0028762359,0.0030125566,0.00046150465],"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":[0.00006469958,0.00014302852,0.00085760746,0.0002502284,0.000072424176,0.0007708738,0.00086893974,0.10915559,0.013009979,0.84524655,0.00072561996,0.028834557],"study_design_scores_gemma":[0.0000849409,0.00018609094,0.00037034167,0.00028818523,0.00017024616,0.0005899785,0.00021910913,0.5896155,0.022605801,0.35247314,0.033311557,0.0000850586],"about_ca_topic_score_codex":0.003673926,"about_ca_topic_score_gemma":0.0023824002,"teacher_disagreement_score":0.0045983465,"about_ca_system_score_codex":0.0017541451,"about_ca_system_score_gemma":0.0042109885,"threshold_uncertainty_score":0.024318695},"labels":[],"label_agreement":null},{"id":"W4308990634","doi":"10.1109/tvt.2022.3214389","title":"IEEE Vehicular Technology Society Information","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Engineering; Telecommunications; Systems engineering","score_opus":0.008872243604830143,"score_gpt":0.22746110683991105,"score_spread":0.21858886323508092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308990634","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058069695,0.022887928,0.13472508,0.008224343,0.017870199,0.0004624012,0.0072293784,0.008801514,0.79399204],"genre_scores_gemma":[0.03666858,0.017751576,0.018241266,0.0010740723,0.0017313658,0.0002808169,0.01858426,0.0007773363,0.90489066],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999233,0.00012366161,0.00005459519,0.00009078893,0.00042226355,0.00007571678],"domain_scores_gemma":[0.9980704,0.00019788118,0.00006902797,0.0004149997,0.0011390077,0.000108744855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000994125,0.0015672551,0.0012296196,0.0038021922,0.0012466724,0.003996932,0.0011224251,0.0022487307,0.09272973],"category_scores_gemma":[0.002196259,0.00062917906,0.00044702474,0.0036253715,0.0004668394,0.002380136,0.0015192435,0.0020018723,0.11594257],"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":[0.00007952016,0.00007634452,0.00053293665,0.0002042316,0.000024745239,0.00011989245,0.000057592373,0.001945757,0.0020856857,0.012708364,0.53355765,0.44860736],"study_design_scores_gemma":[0.00001270182,0.00004920744,0.00068169157,0.0001398422,0.000037397043,0.00013901567,0.00006247524,0.004461402,0.0016526973,0.0055263536,0.98721397,0.000023146044],"about_ca_topic_score_codex":0.008001787,"about_ca_topic_score_gemma":0.007885912,"teacher_disagreement_score":0.90727025,"about_ca_system_score_codex":0.0011689834,"about_ca_system_score_gemma":0.002372728,"threshold_uncertainty_score":0.31021184},"labels":[],"label_agreement":null},{"id":"W4312081207","doi":"10.1109/tvt.2022.3222054","title":"IEEE Vehicular Technology Society Information","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Telecommunications; Engineering; Computer science; Electrical engineering; Transport engineering","score_opus":0.008872243604830143,"score_gpt":0.22746110683991105,"score_spread":0.21858886323508092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312081207","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058069695,0.022887928,0.13472508,0.008224343,0.017870199,0.0004624012,0.0072293784,0.008801514,0.79399204],"genre_scores_gemma":[0.03666858,0.017751576,0.018241266,0.0010740723,0.0017313658,0.0002808169,0.01858426,0.0007773363,0.90489066],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999233,0.00012366161,0.00005459519,0.00009078893,0.00042226355,0.00007571678],"domain_scores_gemma":[0.9980704,0.00019788118,0.00006902797,0.0004149997,0.0011390077,0.000108744855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000994125,0.0015672551,0.0012296196,0.0038021922,0.0012466724,0.003996932,0.0011224251,0.0022487307,0.09272973],"category_scores_gemma":[0.002196259,0.00062917906,0.00044702474,0.0036253715,0.0004668394,0.002380136,0.0015192435,0.0020018723,0.11594257],"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":[0.00007952016,0.00007634452,0.00053293665,0.0002042316,0.000024745239,0.00011989245,0.000057592373,0.001945757,0.0020856857,0.012708364,0.53355765,0.44860736],"study_design_scores_gemma":[0.00001270182,0.00004920744,0.00068169157,0.0001398422,0.000037397043,0.00013901567,0.00006247524,0.004461402,0.0016526973,0.0055263536,0.98721397,0.000023146044],"about_ca_topic_score_codex":0.008001787,"about_ca_topic_score_gemma":0.007885912,"teacher_disagreement_score":0.09272973,"about_ca_system_score_codex":0.0011689834,"about_ca_system_score_gemma":0.002372728,"threshold_uncertainty_score":0.31021184},"labels":[],"label_agreement":null},{"id":"W4312283671","doi":"10.1109/tvt.2022.3228583","title":"Resource Allocation for Integrated Sensing and Communication in Digital Twin Enabled Internet of Vehicles","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":100,"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":"National Natural Science Foundation of China","keywords":"Computer science; Virtualization; Distributed computing; Network virtualization; Cloud computing; Computer network; Resource allocation","score_opus":0.0106954135357003,"score_gpt":0.22062897360924966,"score_spread":0.20993356007354935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312283671","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":[0.13778616,0.00038467473,0.8562497,0.00022957273,0.00007957091,0.0000794649,0.000049622977,0.0003321107,0.004809138],"genre_scores_gemma":[0.97932714,0.00007163652,0.019720417,0.000036962425,0.000009009279,0.000025958392,0.000026108051,0.000010929073,0.0007718556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995308,0.0001017609,0.000016155638,0.000120053985,0.00008770548,0.0001435327],"domain_scores_gemma":[0.9997559,0.00008748578,0.000031416675,0.000028758219,0.00005352348,0.000042910637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005748519,0.00045844045,0.00051647826,0.00036060758,0.00052921183,0.0006957902,0.00091442367,0.00039388993,0.00093543885],"category_scores_gemma":[0.0009092006,0.00021855797,0.00028478497,0.00044626664,0.00053176,0.0013100748,0.00110951,0.00046493087,0.00008233369],"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":[0.00020091211,0.00009588404,0.001029301,0.00005922464,0.00003926066,0.00012336449,0.00010559896,0.89464426,0.010559619,0.024484815,0.0013698122,0.06728796],"study_design_scores_gemma":[0.000004417213,0.000024296272,0.00009884488,0.000001189715,0.0000040243776,0.0000123890795,0.000021678765,0.99549305,0.0006754319,0.0033564116,0.00030451827,0.0000038114695],"about_ca_topic_score_codex":0.006422833,"about_ca_topic_score_gemma":0.006168115,"teacher_disagreement_score":0.006422833,"about_ca_system_score_codex":0.0009915342,"about_ca_system_score_gemma":0.0013637467,"threshold_uncertainty_score":0.012770951},"labels":[],"label_agreement":null},{"id":"W4312305649","doi":"10.1109/tvt.2022.3224611","title":"D2D-MAP: A Drone to Drone Authentication Protocol Using Physical Unclonable Functions","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Drone; Computer science; Authentication (law); Authentication protocol; Computer security; Wireless; Cryptographic protocol; Protocol (science); Context (archaeology); Resilience (materials science); Cryptography; Telecommunications","score_opus":0.013582470150350905,"score_gpt":0.262957170924581,"score_spread":0.24937470077423007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312305649","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0969685,0.0013367316,0.88936186,0.00034311842,0.00025077956,0.00063418644,0.0002931843,0.0044162446,0.0063954126],"genre_scores_gemma":[0.8962463,0.00066598307,0.09758605,0.00019979359,0.000060433584,0.0005432043,0.00033872834,0.00007630084,0.0042831567],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993932,0.00014347462,0.000059919133,0.00008204288,0.0002396898,0.00008159866],"domain_scores_gemma":[0.9990569,0.00026610482,0.00016802446,0.00026375687,0.00019651695,0.000048654205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000648449,0.0005572007,0.0004767167,0.0009133149,0.0008957215,0.00080064643,0.0010451862,0.0009084741,0.002479928],"category_scores_gemma":[0.0018830433,0.00019351277,0.00041867516,0.00050560496,0.00082282966,0.0022584093,0.001953849,0.00088000234,0.0007029049],"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":[0.0026567914,0.00044675817,0.0062985336,0.002036377,0.00029861066,0.0028582066,0.0013515821,0.07319554,0.3309814,0.12648445,0.013347632,0.440044],"study_design_scores_gemma":[0.00041645174,0.0025080978,0.00240355,0.00018758475,0.00023956184,0.004738833,0.00034272135,0.5820968,0.30028144,0.016855221,0.089671776,0.0002579254],"about_ca_topic_score_codex":0.0007132769,"about_ca_topic_score_gemma":0.00048532116,"teacher_disagreement_score":0.002479928,"about_ca_system_score_codex":0.0005060589,"about_ca_system_score_gemma":0.00069846364,"threshold_uncertainty_score":0.008296251},"labels":[],"label_agreement":null},{"id":"W4312552338","doi":"10.1109/tvt.2022.3226686","title":"Higher Order Sliding-Mode Observers for State-of-Charge and State-of-Health Estimation of Lithium-Ion Batteries","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":75,"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":"Control theory (sociology); State of charge; Observer (physics); Battery (electricity); State of health; State observer; Identification (biology); Engineering; Mode (computer interface); State (computer science); Computer science; Control engineering; Algorithm; Control (management); Power (physics); Artificial intelligence; Nonlinear system","score_opus":0.02063151401573239,"score_gpt":0.28098647276409133,"score_spread":0.26035495874835896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312552338","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012894212,0.0002805843,0.9852012,0.000037941823,0.000048678794,0.00002356302,0.000014874253,0.0003294446,0.0011694024],"genre_scores_gemma":[0.927544,0.0003802215,0.06958641,0.000046744342,0.000048542683,0.00010030211,0.00007581995,0.000027153452,0.002190712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996959,0.00006719568,0.00003128384,0.000052353313,0.00012611116,0.000027102531],"domain_scores_gemma":[0.99962735,0.00014237434,0.00006273513,0.000049833026,0.00010540119,0.000012381871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048367915,0.00050568377,0.00048576458,0.00032880518,0.00018201709,0.00051119574,0.00055294146,0.00036233143,0.001019818],"category_scores_gemma":[0.0010020211,0.00016831636,0.00039339028,0.00020670077,0.00030422903,0.0005745553,0.00044394957,0.0007065803,0.00017156091],"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":[0.00041870066,0.000094149495,0.0027175737,0.0006153509,0.00010853637,0.00024774592,0.0006008654,0.5060854,0.07834569,0.017179262,0.0017967256,0.39178994],"study_design_scores_gemma":[0.000011972787,0.00010975229,0.0005399184,0.000012502962,0.000013159672,0.000033416163,0.000019249006,0.9901348,0.0061637834,0.001371075,0.0015789821,0.000011438577],"about_ca_topic_score_codex":0.0015904284,"about_ca_topic_score_gemma":0.001545712,"teacher_disagreement_score":0.0015904284,"about_ca_system_score_codex":0.00032008672,"about_ca_system_score_gemma":0.0004098145,"threshold_uncertainty_score":0.003411591},"labels":[],"label_agreement":null},{"id":"W4312576489","doi":"10.1109/tvt.2022.3217079","title":"Computation Offloading for Rechargeable Users in Space-Air-Ground Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":41,"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; Backup; Distributed computing; Computation; Server; Cloudlet; Base station; Scheduling (production processes); Optimization problem; Real-time computing; Computer network; Mathematical optimization; Cloud computing; Algorithm","score_opus":0.008849477415463863,"score_gpt":0.2109782453952659,"score_spread":0.20212876797980206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312576489","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":[0.20208183,0.0009479082,0.7887768,0.00034691032,0.00012446247,0.00007217928,0.0000896473,0.0009657609,0.0065944963],"genre_scores_gemma":[0.9782835,0.00015461376,0.019761218,0.000048256294,0.000022437109,0.000030465211,0.00005235974,0.000040145256,0.0016070674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997093,0.000067945315,0.0000108036975,0.00005820662,0.000062581916,0.00009104503],"domain_scores_gemma":[0.9997533,0.000098475655,0.00002658938,0.000037434507,0.000041483985,0.000042722284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030462054,0.0006351437,0.00082528783,0.00025787362,0.0005676743,0.0006489389,0.000759507,0.00032274958,0.0013465418],"category_scores_gemma":[0.00068022206,0.00019629621,0.00027433905,0.00038028002,0.00031116596,0.0008046953,0.0008216982,0.00039499672,0.00021411608],"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":[0.00047706766,0.00012050396,0.0016033766,0.00012363866,0.000032354244,0.0003266706,0.00021576643,0.83369166,0.012687885,0.0066509442,0.0040997085,0.13997045],"study_design_scores_gemma":[0.000005576955,0.000022564362,0.00016366442,0.0000024857766,0.0000044116755,0.00002224186,0.000039573566,0.99667054,0.0010233822,0.0016439299,0.00039893284,0.0000027794094],"about_ca_topic_score_codex":0.0033219133,"about_ca_topic_score_gemma":0.0049310173,"teacher_disagreement_score":0.0033219133,"about_ca_system_score_codex":0.00042648893,"about_ca_system_score_gemma":0.000585833,"threshold_uncertainty_score":0.0066051483},"labels":[],"label_agreement":null},{"id":"W4312583706","doi":"10.1109/tvt.2022.3224765","title":"Online Distributed Optimization for Energy-Efficient Computation Offloading in Air-Ground Integrated Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":38,"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":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Computer science; Computation; Server; Notation; Distributed computing; Theoretical computer science; Algorithm; Computer network; Mathematics","score_opus":0.006318050041238763,"score_gpt":0.2047471922908388,"score_spread":0.19842914224960004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312583706","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":[0.049313527,0.0008543428,0.9413888,0.00050172955,0.00012794133,0.000078534984,0.00009925271,0.0003568557,0.007279078],"genre_scores_gemma":[0.944704,0.0004403778,0.04895378,0.00016071762,0.000061001585,0.00019481397,0.00014230958,0.000100682766,0.00524236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995907,0.00010317577,0.00001324767,0.00008792966,0.00007816346,0.00012681219],"domain_scores_gemma":[0.9993394,0.00043336372,0.00006773148,0.000025364354,0.000092211325,0.000041879015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007420947,0.0013836741,0.0016196489,0.00041459524,0.00052831013,0.0011121136,0.0011297087,0.0010182089,0.002507355],"category_scores_gemma":[0.0017212484,0.00054046424,0.00054465875,0.0006707947,0.0008474943,0.00083693286,0.0011712924,0.0010388275,0.00026458953],"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":[0.000033443823,0.00001623775,0.00011497242,0.000021446935,0.00001011997,0.000022122436,0.000010788691,0.9931947,0.00022175742,0.0018644203,0.00034978054,0.0041402453],"study_design_scores_gemma":[0.0000039989304,0.000004807897,0.000018965433,0.0000011050213,0.0000015520352,0.0000013375272,0.000003276003,0.99915814,0.000045711335,0.00069540355,0.000064880056,7.511031e-7],"about_ca_topic_score_codex":0.013069124,"about_ca_topic_score_gemma":0.010740825,"teacher_disagreement_score":0.013069124,"about_ca_system_score_codex":0.0014821741,"about_ca_system_score_gemma":0.0016931994,"threshold_uncertainty_score":0.025986075},"labels":[],"label_agreement":null},{"id":"W4312609010","doi":"10.1109/tvt.2022.3217299","title":"Exploiting Multi-Modal Fusion for Urban Autonomous Driving Using Latent Deep Reinforcement Learning","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":33,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Modal; Artificial intelligence; Computer science; Machine learning; Perception; Sensor fusion; Deep learning","score_opus":0.014320128419097801,"score_gpt":0.22350890265175433,"score_spread":0.20918877423265653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312609010","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":[0.11053186,0.00032009563,0.8848697,0.0003179439,0.000054373482,0.00003813173,0.000087085515,0.0016538927,0.0021268944],"genre_scores_gemma":[0.97246605,0.00004849906,0.026288444,0.0000769484,0.0000112201105,0.000029515784,0.0001033007,0.000027866687,0.00094820996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997863,0.00004571609,0.000009352351,0.000058734273,0.000049597707,0.000050362905],"domain_scores_gemma":[0.99962544,0.00013801327,0.000059943748,0.00004595433,0.00008733142,0.00004325132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006417686,0.00062173675,0.00057640346,0.00026313443,0.00027452403,0.00046496923,0.0007891735,0.0005630058,0.0010333528],"category_scores_gemma":[0.0011235168,0.00031422876,0.0004936203,0.00020058411,0.00047815777,0.00083264295,0.0009790219,0.0012268359,0.00022790702],"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":[0.000106378895,0.00012897208,0.0017735347,0.000028397304,0.000041769326,0.000063215346,0.00006376957,0.9315827,0.0049302927,0.0020602609,0.0008912086,0.058329467],"study_design_scores_gemma":[0.0000026041369,0.0000132158975,0.00007076851,0.000001025015,0.00000218015,0.0000033286651,0.0000022891527,0.9988875,0.00036697963,0.0005804003,0.00006779228,0.0000019965773],"about_ca_topic_score_codex":0.0077501964,"about_ca_topic_score_gemma":0.008507091,"teacher_disagreement_score":0.0077501964,"about_ca_system_score_codex":0.00072833564,"about_ca_system_score_gemma":0.00080661796,"threshold_uncertainty_score":0.015410125},"labels":[],"label_agreement":null},{"id":"W4312643794","doi":"10.1109/tvt.2022.3229492","title":"Robust Beamforming for RIS Enhanced Transmissions in Cognitive Radio Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cognitive radio; Beamforming; Robustness (evolution); Computer science; Base station; Mathematical optimization; Optimization problem; Convex optimization; Computer network; Wireless; Algorithm; Mathematics; Telecommunications; Regular polygon","score_opus":0.01954684829281506,"score_gpt":0.24081519260848216,"score_spread":0.2212683443156671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312643794","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":[0.006102058,0.00010311128,0.99231076,0.000055998753,0.000018513882,0.000008492495,0.000010245223,0.000077742865,0.0013130694],"genre_scores_gemma":[0.6939481,0.00036863386,0.30265805,0.00017642828,0.00006485113,0.00009379825,0.00006968168,0.000041286054,0.0025792026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960274,0.00012339019,0.000013938569,0.00006239498,0.00014451012,0.000053073152],"domain_scores_gemma":[0.99966943,0.0001636601,0.00005408958,0.00003055333,0.00006769508,0.0000145946005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047400588,0.00072730536,0.00038611403,0.00023755779,0.0001914189,0.00044006036,0.0005664309,0.00049572065,0.00093537604],"category_scores_gemma":[0.0010939415,0.0002226298,0.0003282702,0.00036478354,0.0005538894,0.00072087103,0.0005777731,0.0006678117,0.00031467158],"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":[0.00013456495,0.000046421585,0.00026122193,0.00007631112,0.000032961812,0.00010165268,0.00007608737,0.82778805,0.03735517,0.03581648,0.0010106834,0.09730046],"study_design_scores_gemma":[0.0000073152523,0.000044529337,0.000043451586,0.000003165398,0.000003778044,0.00001841968,0.0000048403367,0.9940281,0.0022099086,0.0031626797,0.0004672956,0.0000065186546],"about_ca_topic_score_codex":0.0009810537,"about_ca_topic_score_gemma":0.0009791683,"teacher_disagreement_score":0.0009810537,"about_ca_system_score_codex":0.00034321347,"about_ca_system_score_gemma":0.00046432414,"threshold_uncertainty_score":0.0031291246},"labels":[],"label_agreement":null},{"id":"W4312649270","doi":"10.1109/tvt.2022.3218048","title":"The Effect of Hardware Impairments on the Error Bounds of Localization and Maximum Likelihood Estimation of mm-Wave MISO-OFDM Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Estimator; Cramér–Rao bound; Telecommunications link; Orthogonal frequency-division multiplexing; Algorithm; Transmitter; Estimation theory; Channel (broadcasting); Base station; Fisher information; Process (computing); Maximum likelihood; Mathematics; Computer science; Statistics; Telecommunications","score_opus":0.006029883951133808,"score_gpt":0.20334782714351057,"score_spread":0.19731794319237678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312649270","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":[0.19227146,0.0014275784,0.8001952,0.0005204806,0.000053703192,0.000027321894,0.00010109521,0.00031073525,0.0050924285],"genre_scores_gemma":[0.97137994,0.00060429575,0.027031438,0.000046303125,0.00003396071,0.000036625926,0.00007960855,0.00004599654,0.0007418125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983015,0.0005585613,0.000077830715,0.00021118304,0.0006131998,0.0002377066],"domain_scores_gemma":[0.9806291,0.016295692,0.0012192817,0.00069102505,0.0010387121,0.0001263425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022156832,0.0007714211,0.00067113707,0.0005895796,0.00046184857,0.0010298584,0.0005668949,0.00091668434,0.00092852773],"category_scores_gemma":[0.033175386,0.00032947198,0.00026526165,0.00052840885,0.0011218912,0.0020227742,0.0012979938,0.0007873991,0.0002310857],"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":[0.00021883017,0.000023711113,0.0036003205,0.00014853844,0.000036860107,0.00020579081,0.00021492367,0.94580007,0.006129175,0.014748748,0.00024989352,0.028623195],"study_design_scores_gemma":[0.000008871997,0.00007145612,0.002650947,0.000048856706,0.000022403243,0.00014211111,0.00008055078,0.980471,0.01174314,0.004288964,0.0004427873,0.00002885987],"about_ca_topic_score_codex":0.00218738,"about_ca_topic_score_gemma":0.0012137307,"teacher_disagreement_score":0.0022156832,"about_ca_system_score_codex":0.00068509654,"about_ca_system_score_gemma":0.0008010077,"threshold_uncertainty_score":0.011717796},"labels":[],"label_agreement":null},{"id":"W4312727189","doi":"10.1109/tvt.2022.3232391","title":"Efficient Data Collection Scheme for Multi-Modal Underwater Sensor Networks Based on Deep Reinforcement Learning","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Liaoning Revitalization Talents Program; National Natural Science Foundation of China","keywords":"Trajectory; Underwater; Data collection; Reinforcement learning; Transmission (telecommunications); Data transmission; Computer science; Modal; Real-time computing; Visibility; Remotely operated underwater vehicle; Engineering; Artificial intelligence; Computer network; Telecommunications; Robot; Mobile robot","score_opus":0.030092727080469783,"score_gpt":0.2469691595577444,"score_spread":0.21687643247727462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312727189","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":[0.03629326,0.00015348199,0.96199137,0.00015652049,0.00003163754,0.000046440262,0.00003553144,0.00036969502,0.00092203927],"genre_scores_gemma":[0.9046942,0.00012532361,0.0935846,0.00010211267,0.000018238505,0.00012959095,0.00010618037,0.00002848468,0.0012112779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995363,0.000092670416,0.000035986384,0.00013441585,0.00013069059,0.00007000883],"domain_scores_gemma":[0.9992199,0.00026050213,0.0001177391,0.00010674318,0.00022343296,0.000071666305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078005076,0.0005666051,0.0006169154,0.00034925525,0.00059100357,0.00043187043,0.0013208821,0.0005049331,0.0006110874],"category_scores_gemma":[0.0018715665,0.00027741244,0.0003860531,0.00043040156,0.0005022996,0.0012116861,0.00139126,0.0009203877,0.000108655135],"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":[0.0001883629,0.00014663395,0.0035727292,0.00012028306,0.00007258754,0.00013448102,0.00023974267,0.8036366,0.01739738,0.008657701,0.0020470654,0.16378643],"study_design_scores_gemma":[0.0000071203785,0.000026643642,0.00014426636,0.0000023093764,0.000005069823,0.000015321197,0.000013124525,0.9968131,0.0013759516,0.0013709741,0.00022161286,0.0000045867955],"about_ca_topic_score_codex":0.005012034,"about_ca_topic_score_gemma":0.005802216,"teacher_disagreement_score":0.005012034,"about_ca_system_score_codex":0.0008027546,"about_ca_system_score_gemma":0.0012716122,"threshold_uncertainty_score":0.009965718},"labels":[],"label_agreement":null},{"id":"W4312735264","doi":"10.1109/tvt.2022.3218565","title":"Dynamic Power Allocation in High Throughput Satellite Communications: A Two-Stage Advanced Heuristic Learning Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Heuristic; Computer science; Reinforcement learning; Resource allocation; Throughput; Communications satellite; Overhead (engineering); Markov decision process; Convergence (economics); Resource management (computing); Wireless; Dynamic programming; Distributed computing; Radio resource management; Mathematical optimization; Computer network; Wireless network; Satellite; Markov process; Engineering; Algorithm; Artificial intelligence; Telecommunications","score_opus":0.012608798430569607,"score_gpt":0.24756598863897533,"score_spread":0.23495719020840572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312735264","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":[0.021971999,0.00059611193,0.9724805,0.00034292816,0.00005005188,0.000069225905,0.00002859482,0.00021977404,0.0042408034],"genre_scores_gemma":[0.8656212,0.00046069387,0.12926883,0.00031573695,0.00010010477,0.00025259343,0.00008086964,0.00006440016,0.0038355882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994143,0.00017842023,0.00003090922,0.0001072671,0.00013548185,0.0001336372],"domain_scores_gemma":[0.9986607,0.0008673762,0.00012547144,0.000051456173,0.00021436925,0.000080600956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013870873,0.0009804135,0.001693462,0.00083463924,0.00049602345,0.0012235915,0.001658137,0.0016511031,0.00260981],"category_scores_gemma":[0.0025568716,0.00071009557,0.00082315784,0.00076097006,0.00095469755,0.0012467768,0.0009804687,0.0012448753,0.00025579173],"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":[0.00004058763,0.000041932366,0.00039647287,0.00005205241,0.000030391626,0.000049678612,0.000035263107,0.97289217,0.00030901696,0.0043305135,0.00039621562,0.021425743],"study_design_scores_gemma":[0.000006529445,0.000013070907,0.000032994532,0.0000032269197,0.000004649938,0.0000066370712,0.0000048109077,0.9987471,0.00007050671,0.0010174951,0.000090425754,0.0000024564144],"about_ca_topic_score_codex":0.008947945,"about_ca_topic_score_gemma":0.006113682,"teacher_disagreement_score":0.008947945,"about_ca_system_score_codex":0.001267987,"about_ca_system_score_gemma":0.0021236977,"threshold_uncertainty_score":0.017791688},"labels":[],"label_agreement":null},{"id":"W4312749337","doi":"10.1109/tvt.2022.3213811","title":"A Random Fourier Feature Based Receiver Detection for Enhanced BER Performance in Nonlinear PD-NOMA","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"École de Technologie Supérieure","funders":"","keywords":"Noma; Nonlinear system; Computer science; Electronic engineering; Power (physics); Amplifier; Orthogonal frequency-division multiplexing; Fourier transform; Spectral efficiency; Frequency domain; Algorithm; Mathematics; Telecommunications; Engineering; Bandwidth (computing); Physics; Channel (broadcasting)","score_opus":0.006831029644346908,"score_gpt":0.21035103883828155,"score_spread":0.20352000919393465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312749337","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":[0.027903568,0.000384991,0.96867585,0.00017645227,0.00006090373,0.000047452595,0.000028438653,0.000444964,0.0022774271],"genre_scores_gemma":[0.5973995,0.00034212726,0.39927247,0.00016470613,0.00007417573,0.000082141785,0.000055948083,0.000038208917,0.0025707623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932075,0.0002483413,0.00002840788,0.00011187356,0.00022434207,0.00006637993],"domain_scores_gemma":[0.99889815,0.00057292316,0.00015635119,0.00013966115,0.00019913123,0.000033751036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010236168,0.0006967636,0.0006659641,0.0005404511,0.00046304674,0.0006399879,0.0009797744,0.0010750393,0.0010089927],"category_scores_gemma":[0.0034210095,0.0002768132,0.00042882503,0.0005313531,0.0007047447,0.0008434179,0.00080618385,0.0008076714,0.00058693654],"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":[0.00077740423,0.00036004462,0.0028155327,0.00042482675,0.00014094704,0.00066420285,0.00036582616,0.35787895,0.22496997,0.058268137,0.002797309,0.35053688],"study_design_scores_gemma":[0.000019930276,0.00012875951,0.00024928947,0.000012066116,0.000013891724,0.00027921522,0.000009780398,0.98034805,0.016331334,0.0017735789,0.0008115809,0.00002252859],"about_ca_topic_score_codex":0.0006839148,"about_ca_topic_score_gemma":0.0012441208,"teacher_disagreement_score":0.0010750393,"about_ca_system_score_codex":0.00043944147,"about_ca_system_score_gemma":0.0007589853,"threshold_uncertainty_score":0.0054134727},"labels":[],"label_agreement":null},{"id":"W4312766871","doi":"10.1109/tvt.2022.3211830","title":"Algorithm Design and Performance Analysis of Target Localization Using Mobile Underwater Acoustic Array Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":29,"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 Waterloo; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Underwater acoustic communication; Underwater; Computer science; Underwater acoustics; Real-time computing; Node (physics); Scalability; Acoustics","score_opus":0.011618386467085995,"score_gpt":0.2080929171466803,"score_spread":0.1964745306795943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312766871","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":[0.0049994825,0.00036701772,0.99251294,0.00008924274,0.000025132947,0.000031129697,0.000012943541,0.00012457698,0.0018376526],"genre_scores_gemma":[0.5944431,0.0018297704,0.397039,0.00016200311,0.00015058114,0.00065276923,0.00024676014,0.00012693924,0.005349176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892163,0.00037844357,0.000046770037,0.00015502275,0.00038617608,0.00011199858],"domain_scores_gemma":[0.99752325,0.0014509724,0.0002018718,0.00009618103,0.0006851683,0.00004246339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813867,0.0010291763,0.0007571584,0.000767789,0.00054147665,0.0013329237,0.0010250078,0.0009259568,0.0022129936],"category_scores_gemma":[0.007163084,0.00037738995,0.000378981,0.0009733717,0.0007301588,0.0009585936,0.0011721819,0.000910455,0.0007160287],"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":[0.00004855325,0.00001664861,0.00045593013,0.00006884749,0.000019097302,0.00004433304,0.000049261074,0.9473117,0.0016053944,0.0071929274,0.0006593935,0.04252784],"study_design_scores_gemma":[0.0000034254335,0.000022162616,0.00005048089,0.000004257248,0.0000028498278,0.00001392636,0.000006519931,0.9984596,0.00035179657,0.00083342975,0.0002489004,0.0000027192314],"about_ca_topic_score_codex":0.004476964,"about_ca_topic_score_gemma":0.0032900607,"teacher_disagreement_score":0.004476964,"about_ca_system_score_codex":0.0012536795,"about_ca_system_score_gemma":0.0015562923,"threshold_uncertainty_score":0.0095927715},"labels":[],"label_agreement":null},{"id":"W4312815912","doi":"10.1109/tvt.2022.3217595","title":"Performance of Cooperative Detection in Joint Communication-Sensing Vehicular Network: A Data Analytic and Stochastic Geometry Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Non-line-of-sight propagation; Stochastic geometry; Computer science; Software deployment; Statistic; Channel (broadcasting); Interference (communication); Obstacle; Vehicular ad hoc network; Real-time computing; Joint (building); Wireless; Simulation; Wireless ad hoc network; Computer network; Engineering; Telecommunications; Geography; Mathematics; Statistics","score_opus":0.017062364468699534,"score_gpt":0.2162877319392886,"score_spread":0.19922536747058905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312815912","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":[0.25065592,0.00074322365,0.7422594,0.00065553363,0.00004364624,0.00007540035,0.00013913354,0.00043597879,0.0049918047],"genre_scores_gemma":[0.9908381,0.00016415615,0.008511715,0.000028462691,0.000010027829,0.000027879292,0.000044924855,0.000015614842,0.00035910268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837154,0.0006057678,0.000052725693,0.00019569452,0.00046753604,0.0003067596],"domain_scores_gemma":[0.9928262,0.0051278644,0.00069207227,0.00030370915,0.00090826105,0.00014200514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026873706,0.0011014825,0.00089281634,0.0011348244,0.00050428836,0.0010272978,0.0010647435,0.0008197141,0.0005698294],"category_scores_gemma":[0.009334113,0.00047261623,0.0005941559,0.0009936786,0.0015094832,0.0012395297,0.0013990792,0.0006166338,0.00011316044],"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":[0.000038640075,0.000011245901,0.000691896,0.000017254117,0.000011525585,0.000030461906,0.000029862978,0.9905984,0.00065464893,0.0050143176,0.00013578251,0.0027659324],"study_design_scores_gemma":[0.0000013559775,0.00001767512,0.00013180128,0.0000012188044,0.0000024510555,0.000011410022,0.000011558467,0.9988537,0.00024440157,0.0006870089,0.0000336894,0.0000037842613],"about_ca_topic_score_codex":0.013938851,"about_ca_topic_score_gemma":0.0049517625,"teacher_disagreement_score":0.013938851,"about_ca_system_score_codex":0.0025415753,"about_ca_system_score_gemma":0.0016984337,"threshold_uncertainty_score":0.027715445},"labels":[],"label_agreement":null},{"id":"W4312835493","doi":"10.1109/tvt.2022.3227989","title":"A Cooperative Recharging-Transmission Strategy in Powered UAV-Aided Terahertz Downlink Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and 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":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Computer science; Telecommunications link; Transmission (telecommunications); Terahertz radiation; Convex optimization; Wireless; Optimization problem; Interference (communication); Knapsack problem; Electronic engineering; Mathematical optimization; Real-time computing; Computer network; Engineering; Telecommunications; Regular polygon; Algorithm; Mathematics","score_opus":0.0066410573390064285,"score_gpt":0.20787831790711433,"score_spread":0.2012372605681079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312835493","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":[0.06945284,0.00035213385,0.92632544,0.00013097309,0.000032455857,0.000033847835,0.000026177986,0.0001119325,0.0035341533],"genre_scores_gemma":[0.9705006,0.0001888398,0.027284317,0.000048459693,0.000015336404,0.000051182666,0.000023179085,0.000011908301,0.0018761369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996966,0.00007929516,0.0000113232,0.00006342674,0.000074445525,0.00007489415],"domain_scores_gemma":[0.9997036,0.00011302257,0.00007093388,0.000033413075,0.000052578074,0.00002642758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032862969,0.0006444053,0.00062428426,0.00027696422,0.00047028816,0.0006122356,0.0008620498,0.0005339643,0.0007437372],"category_scores_gemma":[0.0007810437,0.00025115663,0.00029222664,0.00049356825,0.00044064427,0.0008013475,0.0008046121,0.0003834714,0.00018502187],"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":[0.00011855255,0.000042664593,0.00081615185,0.00007898567,0.000035672427,0.00037486936,0.00019411964,0.92104316,0.014575943,0.013676348,0.0009706001,0.0480729],"study_design_scores_gemma":[0.000008833247,0.0000749539,0.00015589067,0.00000373129,0.000011031193,0.00009433675,0.00005750604,0.99511576,0.0017076887,0.0021955497,0.00056780386,0.0000069121097],"about_ca_topic_score_codex":0.002094245,"about_ca_topic_score_gemma":0.002006265,"teacher_disagreement_score":0.002094245,"about_ca_system_score_codex":0.00039802786,"about_ca_system_score_gemma":0.0004434562,"threshold_uncertainty_score":0.0041641593},"labels":[],"label_agreement":null},{"id":"W4312845824","doi":"10.1109/tvt.2022.3215811","title":"Blockchain-Assisted Personalized Car Insurance With Privacy Preservation and Fraud Resistance","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":37,"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 New Brunswick; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Blockchain; Homomorphic encryption; Computer security; Transparency (behavior); Encryption; Computer science; Information privacy; Audit; Smart contract; Business; Accounting","score_opus":0.009711478089653986,"score_gpt":0.2152401582766709,"score_spread":0.20552868018701692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312845824","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15002044,0.00055810163,0.8340578,0.0009987406,0.00012375774,0.0004785118,0.0003406291,0.0018061602,0.0116159115],"genre_scores_gemma":[0.97097325,0.00013988734,0.025360553,0.00008264979,0.000017373823,0.00011778144,0.00013360917,0.00002502475,0.0031499036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974063,0.0006793586,0.00014233329,0.00038901847,0.0008925011,0.00049047434],"domain_scores_gemma":[0.9964825,0.0010023984,0.0004491007,0.0010826244,0.0006339956,0.0003493566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019738823,0.00046592625,0.00070756447,0.00057886064,0.0010737062,0.0011072457,0.0015283201,0.0011742248,0.0034919821],"category_scores_gemma":[0.0042774673,0.00027381198,0.00044212973,0.0009532306,0.0010929633,0.002793476,0.003147961,0.0011473452,0.00071760325],"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":[0.0019912077,0.0005690835,0.0074044145,0.00043284034,0.00016721996,0.001989546,0.0014100536,0.46974817,0.05334263,0.196322,0.0073521268,0.25927073],"study_design_scores_gemma":[0.00014307252,0.00020852474,0.0004982858,0.000028344342,0.000029285196,0.0003555281,0.0000864835,0.9340652,0.011208791,0.046601392,0.006733351,0.0000418108],"about_ca_topic_score_codex":0.0024715813,"about_ca_topic_score_gemma":0.0018587436,"teacher_disagreement_score":0.0034919821,"about_ca_system_score_codex":0.0010042345,"about_ca_system_score_gemma":0.0025810576,"threshold_uncertainty_score":0.011681795},"labels":[],"label_agreement":null},{"id":"W4312975881","doi":"10.1109/tvt.2022.3231727","title":"Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Rail Traffic Control and Safety; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Channel (broadcasting); Communications system; Interference (communication); Base station; Convolutional neural network; Deep learning; Real-time computing; Electronic engineering; Signal-to-noise ratio (imaging); Wireless; Artificial intelligence; Engineering; Telecommunications","score_opus":0.01056400367975095,"score_gpt":0.22166262313136273,"score_spread":0.2110986194516118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312975881","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":[0.020323863,0.0003555595,0.97562134,0.00017764882,0.000052192907,0.00003060457,0.00005548292,0.000855527,0.0025277755],"genre_scores_gemma":[0.88929284,0.00031074078,0.10556147,0.00024109567,0.000061229344,0.00007873919,0.00019357474,0.000044210745,0.004216024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962056,0.000069274036,0.000015674123,0.00008122253,0.0001231804,0.000089961846],"domain_scores_gemma":[0.9995565,0.00016223377,0.000055411667,0.000044440487,0.00015663085,0.000024831736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760226,0.00077977654,0.0006003564,0.00029974262,0.00034815026,0.0005666942,0.000909282,0.00066995196,0.0016106825],"category_scores_gemma":[0.001250088,0.00035607608,0.00037195112,0.000364416,0.00048978033,0.0010425136,0.0009419632,0.001155625,0.00042814048],"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":[0.00020652743,0.000113372604,0.0018818432,0.0001284522,0.00007317394,0.00010660635,0.00008093748,0.7624505,0.013488155,0.0055357623,0.002277365,0.21365723],"study_design_scores_gemma":[0.0000031837797,0.000016610136,0.000099993944,0.0000031039,0.000005336966,0.000012058886,0.00000520701,0.9974643,0.0015424617,0.0006085058,0.00023451733,0.000004674697],"about_ca_topic_score_codex":0.0073379376,"about_ca_topic_score_gemma":0.009945566,"teacher_disagreement_score":0.0073379376,"about_ca_system_score_codex":0.0007002775,"about_ca_system_score_gemma":0.0014347018,"threshold_uncertainty_score":0.014590442},"labels":[],"label_agreement":null},{"id":"W4313053000","doi":"10.1109/tvt.2022.3224443","title":"Learning Aided Joint Sensor Activation and Mobile Charging Vehicle Scheduling for Energy-Efficient WRSN-Based Industrial IoT","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":59,"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","funders":"National Natural Science Foundation of China","keywords":"Computer science; Wireless sensor network; Scheduling (production processes); Energy consumption; Wireless; Real-time computing; Efficient energy use; Distributed computing; Computer network; Mathematical optimization; Engineering; Electrical engineering; Telecommunications","score_opus":0.014538201116653812,"score_gpt":0.20339237953043995,"score_spread":0.18885417841378616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313053000","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":[0.0342492,0.00030746518,0.96334845,0.00014590667,0.000054387096,0.00004510031,0.000026970285,0.00020951233,0.0016129356],"genre_scores_gemma":[0.9571535,0.00012629725,0.04119663,0.000068641486,0.000029120347,0.00005050804,0.00005076775,0.000027285214,0.0012973597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995241,0.000115540155,0.000018604727,0.0001260129,0.00010051331,0.00011515031],"domain_scores_gemma":[0.9993556,0.00030694838,0.00012278631,0.000058554757,0.00009226657,0.00006382762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080955063,0.0006758458,0.000994548,0.00023989216,0.00034230162,0.0005308816,0.0013925583,0.000616035,0.0011753422],"category_scores_gemma":[0.0015728306,0.0003019172,0.0003958834,0.00043659777,0.00051370694,0.00084372144,0.0007612431,0.00075743225,0.00018755494],"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":[0.000091067755,0.0000685362,0.0006757717,0.000053590782,0.00002517433,0.00005574112,0.000043895056,0.9604054,0.0024836615,0.004527248,0.00059485604,0.030975163],"study_design_scores_gemma":[0.0000034817995,0.00002159954,0.00005781952,0.0000012700966,0.0000032860053,0.000009696564,0.0000061286064,0.9985557,0.0002759486,0.00091547135,0.00014760255,0.0000019118283],"about_ca_topic_score_codex":0.002729967,"about_ca_topic_score_gemma":0.0032837694,"teacher_disagreement_score":0.002729967,"about_ca_system_score_codex":0.0007077981,"about_ca_system_score_gemma":0.0011396132,"threshold_uncertainty_score":0.0054281354},"labels":[],"label_agreement":null},{"id":"W4313590861","doi":"10.1109/tvt.2023.3234310","title":"Multi-Satellite Cooperative Communication: Exploiting Time Asynchrony in Non-Orthogonal Transmissions","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":23,"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":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Asynchronous communication; Asynchrony (computer programming); Communications satellite; Transmission (telecommunications); Decoding methods; Satellite; Real-time computing; Mathematical optimization; Distributed computing; Algorithm; Computer network; Telecommunications; Mathematics; Engineering","score_opus":0.020599830972411297,"score_gpt":0.2551833682131027,"score_spread":0.23458353724069142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313590861","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":[0.029679809,0.00013618257,0.9673716,0.00009618995,0.0000318435,0.00004368784,0.000019533454,0.00006557646,0.0025556064],"genre_scores_gemma":[0.865571,0.00022219746,0.131469,0.00010065466,0.000043967604,0.00009231474,0.00004895015,0.00002684863,0.0024250026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988595,0.00048023774,0.000045117366,0.00017580201,0.00029759292,0.00014171521],"domain_scores_gemma":[0.9986035,0.00065113016,0.00017825846,0.00023445985,0.0002118944,0.00012082617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020364977,0.000572285,0.0006541961,0.00045439735,0.0006584012,0.0008956451,0.0014296134,0.0005472549,0.0012648086],"category_scores_gemma":[0.0032312155,0.0002528206,0.00045301902,0.0010824879,0.0006459847,0.0018433111,0.0011720675,0.0007860628,0.0002558],"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":[0.0003236836,0.00016431326,0.0012190822,0.00013009037,0.00006543351,0.0002460589,0.00028801512,0.73552054,0.013891507,0.14366019,0.0012033246,0.10328777],"study_design_scores_gemma":[0.000021115295,0.00010487432,0.00013430783,0.000006532909,0.000011594196,0.000077256285,0.000027037746,0.97201914,0.002873199,0.023833865,0.00087720854,0.000013876276],"about_ca_topic_score_codex":0.0010915779,"about_ca_topic_score_gemma":0.0014526726,"teacher_disagreement_score":0.0020364977,"about_ca_system_score_codex":0.0006542123,"about_ca_system_score_gemma":0.0012140457,"threshold_uncertainty_score":0.010770142},"labels":[],"label_agreement":null},{"id":"W4313598794","doi":"10.1109/tvt.2022.3229312","title":"Two Stage Beamforming in Massive MIMO: A Combinatorial Multi-Armed Bandit Based Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"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 Waterloo","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Beamforming; Overhead (engineering); MIMO; Mathematical optimization; Selection (genetic algorithm); Telecommunications link; Control theory (sociology); Computer science; Covariance matrix; Algorithm; Channel (broadcasting); Integer (computer science); Mathematics; Telecommunications; Artificial intelligence","score_opus":0.012800329978239749,"score_gpt":0.2410753765141751,"score_spread":0.22827504653593536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313598794","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":[0.005682003,0.00031952508,0.99059063,0.00020609521,0.000042410502,0.000036267218,0.00003921575,0.00017660968,0.0029071956],"genre_scores_gemma":[0.69305444,0.00083502335,0.29669353,0.0006898673,0.00024142703,0.00041605273,0.00025394064,0.00012234261,0.007693322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851054,0.0007887884,0.00004362643,0.00016509285,0.00025759765,0.0002342753],"domain_scores_gemma":[0.99773955,0.001529495,0.00019869684,0.00014325907,0.00025108006,0.00013786816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015781778,0.0015689565,0.0017349949,0.0006335857,0.00074524456,0.0016266993,0.0012282822,0.0013479649,0.0030405282],"category_scores_gemma":[0.0031434856,0.0007850799,0.0007570739,0.0013450908,0.0010485122,0.0013245549,0.0014800464,0.0015839172,0.0008694018],"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":[0.00016825375,0.00009491364,0.0004062663,0.00012191069,0.00007482974,0.00014731077,0.000059174938,0.9159865,0.003071128,0.032648243,0.002665174,0.0445563],"study_design_scores_gemma":[0.000012171799,0.000043154505,0.00005352988,0.000005934891,0.000008050916,0.00003214592,0.000009372552,0.9931764,0.00036569015,0.005949776,0.0003354106,0.000008399923],"about_ca_topic_score_codex":0.0015381821,"about_ca_topic_score_gemma":0.0020549265,"teacher_disagreement_score":0.0030405282,"about_ca_system_score_codex":0.0008049138,"about_ca_system_score_gemma":0.0010231575,"threshold_uncertainty_score":0.010171533},"labels":[],"label_agreement":null},{"id":"W4313886817","doi":"10.1109/tvt.2023.3235273","title":"On the Beamforming Design and Transmit Power Analysis for Single- and Multi-Cluster NOMA","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","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 Alberta","funders":"Alberta Innovates","keywords":"Beamforming; Transmitter power output; Noma; Electronic engineering; Computer science; WSDMA; Power (physics); Interference (communication); Transmission (telecommunications); Channel (broadcasting); Precoding; Engineering; Telecommunications; MIMO; Transmitter; Telecommunications link","score_opus":0.028021956778535143,"score_gpt":0.23879928665431177,"score_spread":0.21077732987577663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313886817","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":[0.0020321698,0.0009714034,0.9920597,0.00016833436,0.00004935428,0.000029433319,0.000040751216,0.00005593623,0.004592912],"genre_scores_gemma":[0.5053733,0.01739408,0.45797724,0.0008202747,0.0010522546,0.0006936021,0.00044288224,0.00031612918,0.015930265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988323,0.00043695437,0.00004822801,0.00017083058,0.00042234146,0.000089385765],"domain_scores_gemma":[0.9979754,0.0012013399,0.00015940833,0.00012253398,0.00050580734,0.000035472156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015233082,0.0016924742,0.0007965303,0.0009061965,0.0005918511,0.0013040812,0.0008250814,0.000964634,0.0037413696],"category_scores_gemma":[0.0041154562,0.0006883453,0.00074444,0.0019449847,0.0013109447,0.0016929567,0.0010476366,0.0017134822,0.0015500647],"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":[0.00007551077,0.00006511514,0.00045276372,0.00046251583,0.00006724808,0.00023358181,0.0002121204,0.76836514,0.012948372,0.14106186,0.0042345664,0.07182118],"study_design_scores_gemma":[0.0000065541244,0.00011425501,0.00033630966,0.000052834177,0.000019776176,0.0001561231,0.000053737487,0.95766574,0.0026427712,0.03501216,0.0039005775,0.00003921543],"about_ca_topic_score_codex":0.0020502673,"about_ca_topic_score_gemma":0.0018572146,"teacher_disagreement_score":0.0037413696,"about_ca_system_score_codex":0.0011718832,"about_ca_system_score_gemma":0.0010048867,"threshold_uncertainty_score":0.012516201},"labels":[],"label_agreement":null},{"id":"W4313886877","doi":"10.1109/tvt.2022.3231618","title":"Distributed Robust Platooning Control for Heterogeneous Vehicle Group under Parametric Uncertainty and Hybrid Attacks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Platoon; Controller (irrigation); Parametric statistics; String (physics); Stability (learning theory); Vehicle dynamics; Control theory (sociology); Computer science; Mathematics; Algorithm; Engineering; Control (management); Artificial intelligence; Aerospace engineering; Machine learning","score_opus":0.011068386212129484,"score_gpt":0.2076782122655379,"score_spread":0.1966098260534084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313886877","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":[0.0686464,0.00015745657,0.92778367,0.00013965704,0.000040821014,0.000028754881,0.00003197375,0.00022774976,0.0029435016],"genre_scores_gemma":[0.99391276,0.000050264232,0.0051176753,0.000016908012,0.000013606042,0.000026689484,0.0000211162,0.000008882154,0.00083210866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994442,0.00009561541,0.000024096662,0.00018354856,0.00014659148,0.000106072046],"domain_scores_gemma":[0.9993795,0.00018198842,0.00020646806,0.000065432476,0.00012568182,0.00004093707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006965519,0.0008594602,0.0007348351,0.00031154946,0.00038280556,0.0008247422,0.000864895,0.00050423306,0.0007151636],"category_scores_gemma":[0.0011598958,0.00022934462,0.00051684736,0.0003137582,0.000762816,0.000679495,0.0013000123,0.000625035,0.0001211419],"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":[0.00012072783,0.000017937267,0.00039791377,0.00004219556,0.000044263223,0.00010373362,0.00007885799,0.96839887,0.006441932,0.008603249,0.00027533915,0.015475011],"study_design_scores_gemma":[0.0000061972937,0.000043216394,0.00009262309,0.0000014096839,0.000006633589,0.0000066736084,0.0000093542885,0.9977196,0.00051102677,0.0014292801,0.00017105901,0.0000028908894],"about_ca_topic_score_codex":0.0044188714,"about_ca_topic_score_gemma":0.0016972803,"teacher_disagreement_score":0.0044188714,"about_ca_system_score_codex":0.0006477071,"about_ca_system_score_gemma":0.0004926893,"threshold_uncertainty_score":0.008786321},"labels":[],"label_agreement":null},{"id":"W4319998088","doi":"10.1109/tvt.2023.3239943","title":"Deep Learning Based Distributed Meta-Learning for Fast and Accurate Online Adaptive Powertrain Fuel Consumption Modeling","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Science Foundation of Sri Lanka","keywords":"Fuel efficiency; Powertrain; Computer science; Artificial intelligence; Adaptation (eye); Artificial neural network; Computational complexity theory; Deep learning; Adaptive learning; Online model; Machine learning; Simulation; Engineering; Automotive engineering; Torque; Algorithm","score_opus":0.0336915951938103,"score_gpt":0.25695783684423923,"score_spread":0.22326624165042894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319998088","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":[0.020691864,0.00034009677,0.9761563,0.00015059914,0.00003596194,0.000022544558,0.00007100461,0.0010522642,0.0014794505],"genre_scores_gemma":[0.8994954,0.00017238836,0.097806536,0.00015317339,0.000029217741,0.00013882926,0.0002835068,0.00014432092,0.0017766772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997255,0.00005852472,0.000016247777,0.00008362168,0.000067386856,0.000048717793],"domain_scores_gemma":[0.99950933,0.00021587216,0.00006040261,0.00006972124,0.00011629669,0.000028422264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077134685,0.0012082764,0.0011495255,0.00042929238,0.0003283776,0.00093975896,0.0017373097,0.0008469498,0.0013339231],"category_scores_gemma":[0.001764489,0.0006542453,0.0009872909,0.0005141481,0.00047477058,0.0011125236,0.0011169001,0.0018837792,0.00031815027],"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":[0.000034653636,0.00002423384,0.00036592686,0.00002539658,0.000034499975,0.000022800503,0.000019364436,0.97376144,0.0009539016,0.0014930607,0.0003363979,0.022928469],"study_design_scores_gemma":[0.0000015467838,0.000003687249,0.000016977692,0.0000010060019,0.0000014891157,0.000001346246,9.82088e-7,0.9993144,0.00013816482,0.00046150634,0.00005800512,9.3900604e-7],"about_ca_topic_score_codex":0.0073154923,"about_ca_topic_score_gemma":0.007501469,"teacher_disagreement_score":0.0073154923,"about_ca_system_score_codex":0.0009813055,"about_ca_system_score_gemma":0.0010899258,"threshold_uncertainty_score":0.014545798},"labels":[],"label_agreement":null},{"id":"W4320713064","doi":"10.1109/tvt.2023.3244808","title":"Double-Layer Energy Management for Multi-Motor Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Hitachi Global Foundation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Torque; Control theory (sociology); Direct torque control; Energy consumption; Automotive engineering; Engineering; Passivity; Controller (irrigation); Electric motor; Computer science; Induction motor; Electrical engineering; Voltage; Physics","score_opus":0.02305369727339749,"score_gpt":0.24568199816033262,"score_spread":0.22262830088693514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320713064","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":[0.0741813,0.0011202528,0.9149252,0.00016450789,0.00014538343,0.00009740209,0.000060066715,0.0011523145,0.00815348],"genre_scores_gemma":[0.9650664,0.00021064312,0.030854719,0.000048252503,0.00002952929,0.000051200732,0.00006942856,0.00003626938,0.0036334556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998068,0.000027552982,0.000016521788,0.000051219737,0.00006340114,0.000034405908],"domain_scores_gemma":[0.99989617,0.000017499962,0.000020137202,0.000019401361,0.000037270707,0.000009456695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021126664,0.0006394431,0.0003445494,0.00028649933,0.0003143118,0.00079304865,0.0006989627,0.00039029063,0.0017194108],"category_scores_gemma":[0.0002521074,0.00018748165,0.00028506477,0.000162855,0.00021047547,0.0009590206,0.0008229539,0.0003829105,0.0004777293],"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":[0.00060408254,0.0002809065,0.0024700393,0.00070283853,0.00014696813,0.0005870988,0.00026548406,0.45370623,0.14820307,0.0282025,0.004194284,0.36063653],"study_design_scores_gemma":[0.0000363329,0.000273283,0.000830815,0.000032220894,0.000039485167,0.00012607929,0.00006586214,0.9523032,0.027958209,0.005444486,0.012866192,0.00002381768],"about_ca_topic_score_codex":0.0007057717,"about_ca_topic_score_gemma":0.0010319316,"teacher_disagreement_score":0.0017194108,"about_ca_system_score_codex":0.0003311561,"about_ca_system_score_gemma":0.00030063183,"threshold_uncertainty_score":0.005752027},"labels":[],"label_agreement":null},{"id":"W4321019227","doi":"10.1109/tvt.2023.3239442","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Telecommunications; Information society; Computer science; Engineering; Political science","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321019227","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.092942886,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4321021184","doi":"10.1109/tvt.2023.3244586","title":"Nonlinear Behaviors of a Half-Car Magneto- Rheological Suspension System Under Harmonic Road Excitation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Phase portrait; Damper; Nonlinear system; Lyapunov exponent; Suspension (topology); Hysteresis; Chaotic; Bifurcation; Engineering; Computer science; Mathematics; Physics; Structural engineering","score_opus":0.013502342917093268,"score_gpt":0.22579783656946184,"score_spread":0.21229549365236858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321021184","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":[0.96524286,0.000084946456,0.03027864,0.00009437213,0.000010153092,0.000020103756,0.000041519637,0.00009277638,0.0041346923],"genre_scores_gemma":[0.99878615,0.000025827016,0.0003938653,0.0000046998175,0.0000011170371,0.000006589718,0.0000143127545,0.0000017477907,0.0007658429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999534,0.000009271788,0.0000025409304,0.000011762091,0.000012146459,0.000010880739],"domain_scores_gemma":[0.9999198,0.000024461588,0.000018956373,0.000008984372,0.000020111673,0.000007728087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010069931,0.00021807232,0.00024342147,0.00017945113,0.00027999867,0.0003200791,0.00022569463,0.00038285466,0.0009075034],"category_scores_gemma":[0.00016295425,0.00010471639,0.00023406326,0.00007284183,0.00032194564,0.00022225906,0.0002865075,0.0002126946,0.0001468306],"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":[0.00040542014,0.000119341064,0.0068845325,0.00018778832,0.00011175114,0.0012637867,0.0007451891,0.6892423,0.28071344,0.006328559,0.00038150226,0.013616405],"study_design_scores_gemma":[0.000005811672,0.00010811287,0.0015051778,0.0000032095197,0.000012215485,0.000039436243,0.00007213177,0.992998,0.0047710054,0.00027006769,0.00020652378,0.00000824366],"about_ca_topic_score_codex":0.0034331589,"about_ca_topic_score_gemma":0.002276176,"teacher_disagreement_score":0.0034331589,"about_ca_system_score_codex":0.00019323047,"about_ca_system_score_gemma":0.00022725452,"threshold_uncertainty_score":0.006826341},"labels":[],"label_agreement":null},{"id":"W4321770584","doi":"10.1109/tvt.2023.3248789","title":"Joint Phase Shift and Beamforming Design in a Multi-User MISO STAR-RIS Assisted Downlink NOMA Network","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme","keywords":"Beamforming; Telecommunications link; Mathematical optimization; Optimization problem; Computer science; Relaxation (psychology); Convex optimization; Computational complexity theory; Wireless; Algorithm; Mathematics; Regular polygon; Telecommunications","score_opus":0.03952729946120431,"score_gpt":0.2740067925678535,"score_spread":0.23447949310664917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321770584","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":[0.044142,0.0007755312,0.946144,0.00043828294,0.000098266355,0.000057474645,0.00009780562,0.0001493138,0.008097376],"genre_scores_gemma":[0.8952887,0.0010976415,0.09755483,0.0003077299,0.000091198584,0.00022794199,0.00012455553,0.000035913406,0.0052714385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993647,0.00024075648,0.00002022405,0.00011910265,0.00013935192,0.000115841984],"domain_scores_gemma":[0.9995485,0.0002075666,0.000074551936,0.00002119743,0.000103148486,0.00004497774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055959704,0.0011426699,0.0009142403,0.00035679052,0.00053048524,0.0011311333,0.0006956944,0.0008348683,0.0017299898],"category_scores_gemma":[0.0010641924,0.00048980274,0.00055504596,0.0006868574,0.00078399474,0.00076841854,0.00090941676,0.0008850971,0.00039136867],"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":[0.00018054034,0.000048850627,0.0008218989,0.000115863164,0.00005465269,0.00030974403,0.00011300296,0.9412624,0.0075189606,0.01743765,0.0017900208,0.030346401],"study_design_scores_gemma":[0.000010473224,0.00006374686,0.00009185888,0.0000057522943,0.000011757218,0.00004698758,0.000032523298,0.996366,0.00059005426,0.0023222994,0.00044856587,0.0000099092595],"about_ca_topic_score_codex":0.0034662997,"about_ca_topic_score_gemma":0.0028621969,"teacher_disagreement_score":0.0034662997,"about_ca_system_score_codex":0.000750093,"about_ca_system_score_gemma":0.00092364516,"threshold_uncertainty_score":0.006892264},"labels":[],"label_agreement":null},{"id":"W4323065049","doi":"10.1109/tvt.2023.3252093","title":"Packet-Level Throughput Analysis and Energy Efficiency Optimization for UAV-Assisted IAB Heterogeneous Cellular Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":19,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Network packet; Computer network; Computer science; Throughput; Transmission delay; Efficient energy use; Packet segmentation; Cellular network; Processing delay; End-to-end delay; Network performance; Packet analyzer; Backhaul (telecommunications); Distributed computing; Wireless; Base station; Engineering; Telecommunications","score_opus":0.01084361615922993,"score_gpt":0.20865455178984124,"score_spread":0.1978109356306113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323065049","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":[0.16103616,0.00092414673,0.83140945,0.00029638354,0.000036127432,0.000043199965,0.00014445654,0.00015114377,0.0059588356],"genre_scores_gemma":[0.9894559,0.00043070348,0.009109002,0.000034678284,0.00001946788,0.000025564068,0.000053013187,0.000026555337,0.0008451552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993994,0.00018318117,0.000017510845,0.00009409569,0.0001648328,0.0001408539],"domain_scores_gemma":[0.998531,0.0009669158,0.00017808207,0.00007202326,0.00021970956,0.000032251555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009299674,0.00085836224,0.00066402415,0.00063693384,0.00038717152,0.0010091532,0.0007247999,0.00052290095,0.00071179174],"category_scores_gemma":[0.0033585795,0.00026504576,0.00040820672,0.0009430561,0.0008501055,0.0010954755,0.0006171845,0.0005107686,0.00011736839],"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":[0.000019195782,0.0000127005305,0.00046334093,0.000017440962,0.0000130317685,0.00004356468,0.0000133821695,0.9872897,0.0020512245,0.0076697944,0.00013099784,0.0022755926],"study_design_scores_gemma":[5.844746e-7,0.00000856076,0.00014175962,0.0000012050148,0.0000033207837,0.0000073871242,0.0000081748285,0.99837637,0.0003875012,0.00101068,0.000052644504,0.0000017796551],"about_ca_topic_score_codex":0.0050272997,"about_ca_topic_score_gemma":0.0025740382,"teacher_disagreement_score":0.0050272997,"about_ca_system_score_codex":0.0022936806,"about_ca_system_score_gemma":0.0008531351,"threshold_uncertainty_score":0.016641855},"labels":[],"label_agreement":null},{"id":"W4323065265","doi":"10.1109/tvt.2023.3251943","title":"Secrecy Performance Analysis of Heterogeneous Networks With Unreliable Wireless Backhaul and Imperfect Channel Estimation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","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":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Queen's University; Queen's University Belfast; Royal Academy of Engineering","keywords":"Backhaul (telecommunications); Nakagami distribution; Fading; Secrecy; Eavesdropping; Wireless; Computer science; Computer network; Transmitter; Channel (broadcasting); Artificial noise; Telecommunications; Computer security","score_opus":0.007157958093598131,"score_gpt":0.2125862709370113,"score_spread":0.20542831284341317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323065265","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":[0.5200581,0.001200223,0.46942285,0.0005084017,0.000043649005,0.0000624836,0.00019404896,0.0002008967,0.008309319],"genre_scores_gemma":[0.9961637,0.00028386584,0.0030391861,0.000018474118,0.00001580258,0.000012814576,0.00003350911,0.000008542862,0.00042409461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845076,0.0006179861,0.000052126394,0.000163953,0.0003603935,0.00035474793],"domain_scores_gemma":[0.99264455,0.004911962,0.0010115152,0.0005139299,0.0007395461,0.00017846854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025671988,0.0010525575,0.0008516387,0.0008199524,0.00073154276,0.001320357,0.0009451921,0.0007451319,0.0007492929],"category_scores_gemma":[0.00810783,0.00035309474,0.00059085595,0.0009883577,0.0017154693,0.0015661415,0.0017433332,0.0006804574,0.00017181909],"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":[0.0001356984,0.000017108752,0.0018269614,0.000045248053,0.000040235238,0.00026464093,0.00008837393,0.9767422,0.0029067383,0.014119327,0.00018778688,0.003625697],"study_design_scores_gemma":[0.000004881492,0.00004378319,0.00039245634,0.000004946948,0.00001865028,0.00005674212,0.000042528132,0.9957852,0.001189066,0.0023914217,0.00006069599,0.000009673931],"about_ca_topic_score_codex":0.0040582563,"about_ca_topic_score_gemma":0.0018766992,"teacher_disagreement_score":0.0040582563,"about_ca_system_score_codex":0.001741655,"about_ca_system_score_gemma":0.0008540928,"threshold_uncertainty_score":0.013576806},"labels":[],"label_agreement":null},{"id":"W4323530204","doi":"10.1109/tvt.2022.3229700","title":"Dynamic Traffic Prediction-Based Energy Management of Connected Plug-In Hybrid Electric Vehicles with Long Short-Term State of Charge Planning","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"State of charge; Particle swarm optimization; Energy management; Engineering; Model predictive control; Advanced Traffic Management System; Intelligent transportation system; Electrification; Time horizon; Automation; Computer science; Energy management system; Battery (electricity); Energy (signal processing); Control (management); Transport engineering; Electricity; Artificial intelligence; Mathematical optimization; Algorithm","score_opus":0.006313358389642792,"score_gpt":0.20425916612154152,"score_spread":0.19794580773189874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323530204","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37916386,0.00050670427,0.61068213,0.00034091104,0.00011518829,0.00007982984,0.00014940744,0.000768982,0.008193034],"genre_scores_gemma":[0.99563205,0.00006424201,0.0037372801,0.000014618666,0.0000066377893,0.000019276335,0.00005718534,0.0000071861195,0.000461573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988127,0.00001653358,0.0000068504914,0.00003886709,0.00003617463,0.000020396978],"domain_scores_gemma":[0.9998704,0.000036539128,0.000025064908,0.000008412242,0.000048756465,0.00001080988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002338884,0.0006097485,0.00038670874,0.00039782227,0.00037577946,0.0005663305,0.0006296301,0.0003129913,0.0005566215],"category_scores_gemma":[0.00047489096,0.00030194654,0.0002673561,0.00030637535,0.0002518914,0.0006911057,0.0003326785,0.00036075854,0.00009385046],"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":[0.00007781292,0.00005716848,0.0017020877,0.000022582288,0.000022691676,0.00005418501,0.000022751243,0.9623545,0.0018698706,0.0008558703,0.00040249585,0.032557983],"study_design_scores_gemma":[0.0000028791817,0.00000997203,0.00022060449,9.764126e-7,0.000004675932,0.0000036912527,0.0000045813035,0.99909425,0.00031810667,0.00027733482,0.00006119022,0.0000017347904],"about_ca_topic_score_codex":0.011943079,"about_ca_topic_score_gemma":0.011496737,"teacher_disagreement_score":0.011943079,"about_ca_system_score_codex":0.0006048051,"about_ca_system_score_gemma":0.0006069856,"threshold_uncertainty_score":0.023747087},"labels":[],"label_agreement":null},{"id":"W4324134643","doi":"10.1109/tvt.2023.3244165","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Engineering; Telecommunications","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324134643","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.9070571,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4324134877","doi":"10.1109/tvt.2022.3220647","title":"User Selection and Codebook Design for NOMA-Based High Altitude Platform Station (HAPS) Communications","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":10,"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; Polytechnique Montréal","funders":"","keywords":"Codebook; Computer science; Computer network; Telecommunications link; Wireless; Spectral efficiency; Base station; Channel (broadcasting); Rician fading; Telecommunications; Fading","score_opus":0.029293251114138427,"score_gpt":0.26378859019763656,"score_spread":0.23449533908349812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324134877","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":[0.010409644,0.00030306404,0.9867862,0.00011683056,0.00007850615,0.00010873471,0.000067257155,0.00019597296,0.0019337669],"genre_scores_gemma":[0.7337421,0.00064566307,0.26048616,0.00023300265,0.0001655419,0.0005001508,0.0003266884,0.000060870316,0.0038397918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838877,0.0007936808,0.00006881806,0.00019503405,0.00039560947,0.00015811717],"domain_scores_gemma":[0.9974602,0.0011152474,0.00022779625,0.00026999955,0.0007463555,0.00018043038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010590758,0.00085303263,0.00081362744,0.00048652707,0.00074269646,0.0008823827,0.0013271847,0.00062552554,0.002128189],"category_scores_gemma":[0.0056221634,0.00038533797,0.00034753725,0.0009892012,0.00075625296,0.00078100874,0.0012777615,0.00086024095,0.0010998406],"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":[0.00074817403,0.00021194453,0.003026042,0.00025340435,0.00010923374,0.0005714712,0.0004979885,0.6092683,0.033998046,0.056974325,0.009308433,0.28503257],"study_design_scores_gemma":[0.000046146255,0.00021907203,0.00037617492,0.00001711004,0.000018293289,0.00030805846,0.000060843624,0.9867367,0.004877092,0.0046821437,0.0026253932,0.000032974804],"about_ca_topic_score_codex":0.0030329288,"about_ca_topic_score_gemma":0.0035965424,"teacher_disagreement_score":0.0030329288,"about_ca_system_score_codex":0.0006789995,"about_ca_system_score_gemma":0.0016824355,"threshold_uncertainty_score":0.007119477},"labels":[],"label_agreement":null},{"id":"W4324134937","doi":"10.1109/tvt.2022.3220571","title":"Joint Offloading Scheduling and Resource Allocation in Vehicular Edge Computing: A Two Layer Solution","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":66,"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; Carleton University","funders":"Natural Science Foundation of Hunan Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Energy consumption; Quality of service; Edge computing; Job shop scheduling; Mathematical optimization; Distributed computing; Optimization problem; Resource allocation; Enhanced Data Rates for GSM Evolution; Computer network; Engineering; Algorithm; Mathematics; Artificial intelligence","score_opus":0.02696633546937168,"score_gpt":0.259594117552337,"score_spread":0.23262778208296533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324134937","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":[0.035387713,0.000566114,0.9594993,0.00038815362,0.00009342524,0.00007277506,0.000056634155,0.00024977035,0.0036861233],"genre_scores_gemma":[0.84216726,0.00042431493,0.15288809,0.0002203684,0.00007746415,0.00010805258,0.00013761045,0.0000848748,0.0038920266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993389,0.00013132626,0.000026894015,0.00014803789,0.00010824859,0.00024651826],"domain_scores_gemma":[0.999589,0.00016582564,0.000043422624,0.000042874843,0.000091387934,0.00006746446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075462926,0.0010506465,0.0011249487,0.0003909442,0.0006093485,0.0013223069,0.0014519666,0.0012196451,0.0017470721],"category_scores_gemma":[0.0011207861,0.0005132351,0.0006191759,0.00057987333,0.00057319144,0.0014168081,0.0016434744,0.0010626783,0.00022297245],"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":[0.00010482541,0.00009237365,0.0006047435,0.00008192004,0.000037566584,0.00010812271,0.00005337079,0.95353025,0.003238416,0.0074380287,0.0016494239,0.033060964],"study_design_scores_gemma":[0.0000050948315,0.000017165206,0.00005573686,0.0000024159713,0.0000040649766,0.000009286518,0.000013006337,0.9975822,0.00026444046,0.001810381,0.00023308808,0.0000030458773],"about_ca_topic_score_codex":0.0080993865,"about_ca_topic_score_gemma":0.00861899,"teacher_disagreement_score":0.0080993865,"about_ca_system_score_codex":0.0009647374,"about_ca_system_score_gemma":0.0020793027,"threshold_uncertainty_score":0.01610446},"labels":[],"label_agreement":null},{"id":"W4324134948","doi":"10.1109/tvt.2022.3219885","title":"A Multi-Objective Approach Based on Differential Evolution and Deep Learning Algorithms for VANETs","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":21,"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 Trois-Rivières; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Ant colony optimization algorithms; Vehicular ad hoc network; Joins; Differential evolution; Task (project management); Genetic algorithm; Intelligent transportation system; Particle swarm optimization; Cluster analysis; Swarm intelligence; Algorithm; Reliability (semiconductor); Wireless ad hoc network; Artificial intelligence; Machine learning; Engineering; Wireless","score_opus":0.010930145646822027,"score_gpt":0.22182218350905963,"score_spread":0.21089203786223762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324134948","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":[0.014081299,0.00045172215,0.9818401,0.0002821483,0.00007045149,0.000047821217,0.00002857524,0.00017628241,0.003021613],"genre_scores_gemma":[0.75143623,0.00045447127,0.24152786,0.00033033182,0.0000813449,0.0002936871,0.0001488424,0.000090398265,0.005636827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996611,0.00011852567,0.000021506943,0.00006154117,0.00008397277,0.000053422784],"domain_scores_gemma":[0.9993193,0.00039984394,0.000059726954,0.000033018347,0.0001511688,0.00003697918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010282991,0.0009976584,0.0010547332,0.0007883459,0.00043391803,0.00088094576,0.0015164224,0.0011909243,0.0014640806],"category_scores_gemma":[0.0022606128,0.00053155044,0.00076330977,0.00073677534,0.000649135,0.0008563379,0.001212994,0.0013798224,0.00021188859],"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":[0.000014648713,0.0000194619,0.00035030802,0.000020438129,0.000025709242,0.000022335724,0.000018789257,0.9735714,0.00024101655,0.004294772,0.00032362714,0.021097546],"study_design_scores_gemma":[0.0000016644362,0.0000073110914,0.000020371766,0.0000015380532,0.0000016942241,0.000002620282,0.0000020032962,0.9990559,0.00004169385,0.0007281359,0.00013602249,0.0000010718996],"about_ca_topic_score_codex":0.009511266,"about_ca_topic_score_gemma":0.006739494,"teacher_disagreement_score":0.009511266,"about_ca_system_score_codex":0.0010929483,"about_ca_system_score_gemma":0.0010887095,"threshold_uncertainty_score":0.018911779},"labels":[],"label_agreement":null},{"id":"W4324290857","doi":"10.1109/tvt.2023.3257107","title":"Performance Analysis of Random Access NOMA for Critical mIoT With Timer-Power Back-Off Strategy","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"Ericsson (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aloha; Computer science; Computer network; Network packet; Timer; Random access; Noma; Low latency (capital markets); Transmission (telecommunications); Transmitter power output; Wireless; Throughput; Real-time computing; Telecommunications; Telecommunications link; Channel (broadcasting)","score_opus":0.019703283466524623,"score_gpt":0.2843337937422725,"score_spread":0.2646305102757479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324290857","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":[0.17892589,0.006502606,0.7858125,0.0012468635,0.00035802467,0.0002631847,0.00022369513,0.0008071712,0.025860162],"genre_scores_gemma":[0.9843052,0.00077100546,0.012983228,0.00013857197,0.000054109496,0.000072301766,0.000043209642,0.00003396911,0.0015984529],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996994,0.0011044575,0.00008601331,0.0003371092,0.00058689417,0.0008914306],"domain_scores_gemma":[0.98734736,0.0087986775,0.0011744751,0.0003665317,0.0018905692,0.0004224358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032310865,0.0021260837,0.0016516361,0.0013892236,0.0017163916,0.0023080013,0.0017593496,0.0013930113,0.0034733517],"category_scores_gemma":[0.010004707,0.0005977038,0.0008453812,0.0012757721,0.0019502336,0.0015404329,0.001806883,0.0011848577,0.0005123949],"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":[0.0008689077,0.00013425466,0.003346157,0.0004818241,0.00022474206,0.0008068235,0.00053643977,0.9183515,0.009887397,0.038717896,0.002641756,0.024002284],"study_design_scores_gemma":[0.000016383794,0.00020597255,0.00028985357,0.000021954298,0.00004321407,0.000173955,0.00011503285,0.9950434,0.00081549544,0.0029153647,0.0003351814,0.000024201143],"about_ca_topic_score_codex":0.007841786,"about_ca_topic_score_gemma":0.006593356,"teacher_disagreement_score":0.007841786,"about_ca_system_score_codex":0.0026434828,"about_ca_system_score_gemma":0.0023778034,"threshold_uncertainty_score":0.01917988},"labels":[],"label_agreement":null},{"id":"W4328007215","doi":"10.1109/tvt.2023.3259903","title":"A Novel Traffic Characteristics Aware and Context Prediction Protocol for Intelligent Connected Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","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":"University of Ottawa","funders":"Canada Research Chairs","keywords":"Context (archaeology); Correctness; Computer science; Protocol (science); Global Positioning System; Floating car data; Real-time computing; Wireless; Digital mapping; Wireless ad hoc network; Wireless network; Traffic congestion; Computer network; Transport engineering; Engineering; Simulation; Telecommunications","score_opus":0.019679204975572264,"score_gpt":0.24803964660330702,"score_spread":0.22836044162773475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328007215","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057323866,0.0011685182,0.92959136,0.00047149905,0.00058737234,0.0007503184,0.00045194034,0.0053574713,0.004297728],"genre_scores_gemma":[0.9087377,0.00055873924,0.08517614,0.00025372725,0.00016477535,0.0006599848,0.0007537713,0.0000672613,0.0036278837],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990681,0.000155629,0.00010579708,0.00021509186,0.0003158114,0.00013965934],"domain_scores_gemma":[0.9986112,0.00038857426,0.00020560126,0.00023278996,0.00046533733,0.00009652792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000994558,0.00089883135,0.0008522958,0.0013143503,0.0011071154,0.0009258311,0.0018714446,0.00085809524,0.000804082],"category_scores_gemma":[0.003103281,0.00042256873,0.0003398656,0.0007607779,0.0004758314,0.0023014545,0.0022258456,0.0014639831,0.0003042273],"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":[0.0009769608,0.000997769,0.013650604,0.00063717505,0.00044655785,0.0018243294,0.001299158,0.16857676,0.08770168,0.060195062,0.023311442,0.6403825],"study_design_scores_gemma":[0.000051320774,0.00039322258,0.0014249288,0.00003509325,0.000102574966,0.0005703086,0.0001786501,0.9614337,0.016748043,0.008019396,0.010953456,0.00008928702],"about_ca_topic_score_codex":0.0037194071,"about_ca_topic_score_gemma":0.0038562648,"teacher_disagreement_score":0.0037194071,"about_ca_system_score_codex":0.0007774345,"about_ca_system_score_gemma":0.0013978792,"threshold_uncertainty_score":0.0073955655},"labels":[],"label_agreement":null},{"id":"W4328007271","doi":"10.1109/tvt.2023.3258841","title":"Computation Resource Optimization for Large-Scale Intelligent Urban Rail Transit: A Mean-Field Game Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Computation offloading; Computer science; Computation; Resource allocation; Mathematical optimization; Quality of service; Optimization problem; Distributed computing; Resource management (computing); Resource (disambiguation); Enhanced Data Rates for GSM Evolution; Artificial intelligence; Edge computing; Computer network; Algorithm; Mathematics","score_opus":0.013489626194321196,"score_gpt":0.23441640041291478,"score_spread":0.22092677421859358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328007271","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":[0.0461631,0.00033311197,0.9433719,0.0007697366,0.000086197935,0.00010400173,0.000073328956,0.00008567301,0.009013043],"genre_scores_gemma":[0.9576661,0.00031811243,0.03679463,0.00017904595,0.000035410227,0.00017463668,0.000043259344,0.000026984348,0.0047618104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994406,0.00021185493,0.000017005552,0.000112121335,0.000106884734,0.00011154689],"domain_scores_gemma":[0.99935323,0.00041790307,0.00006676862,0.0000158228,0.00008016713,0.00006615886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009610266,0.0010121973,0.00104321,0.000472644,0.00065255683,0.0011330994,0.0012457957,0.0012362065,0.0023164682],"category_scores_gemma":[0.0015012658,0.00042583872,0.0007849315,0.00043704684,0.0013027112,0.0013610694,0.0011968263,0.0011264387,0.00013805478],"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":[0.00005460795,0.000040779116,0.00032892445,0.00004564345,0.0000275605,0.00011240453,0.00005387615,0.96367323,0.001240316,0.029155118,0.00075481285,0.00451258],"study_design_scores_gemma":[0.00000969278,0.000013683787,0.000043800188,0.0000021209523,0.0000044966428,0.0000071589525,0.000010601113,0.9955611,0.00007077367,0.0040833238,0.00018973714,0.000003504732],"about_ca_topic_score_codex":0.010200987,"about_ca_topic_score_gemma":0.0067148963,"teacher_disagreement_score":0.010200987,"about_ca_system_score_codex":0.0017667599,"about_ca_system_score_gemma":0.001619345,"threshold_uncertainty_score":0.020283222},"labels":[],"label_agreement":null},{"id":"W4352976960","doi":"10.1109/tvt.2023.3255001","title":"Adaptive Decoding Mechanisms for UAV-Enabled Double-Uplink Coordinated NOMA","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Telecommunications link; Noma; Computer science; Decoding methods; Fading; Interference (communication); Transmitter; Single antenna interference cancellation; Throughput; Real-time computing; Channel (broadcasting); Algorithm; Electronic engineering; Wireless; Computer network; Engineering; Telecommunications","score_opus":0.01496454846697107,"score_gpt":0.22705463222903405,"score_spread":0.21209008376206298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4352976960","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":[0.038211066,0.00036980974,0.9586919,0.00007773464,0.00007267028,0.000032350927,0.000036582718,0.0002872872,0.0022205338],"genre_scores_gemma":[0.8650376,0.00025343598,0.13277203,0.00011687114,0.000055003267,0.000086023145,0.00006747631,0.000024694462,0.0015868008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993363,0.00017611872,0.000038054437,0.00013279743,0.00019576596,0.000121067715],"domain_scores_gemma":[0.99914026,0.00033005144,0.00014758519,0.00015810147,0.00018373737,0.000040161318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005778937,0.0006823117,0.00054736424,0.00046397306,0.0004942512,0.0006285438,0.0007913935,0.000490867,0.00063178514],"category_scores_gemma":[0.0021907508,0.00024286441,0.00036326493,0.0004205311,0.00055697607,0.0007215875,0.0010405361,0.00069792767,0.00029758483],"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":[0.00032214134,0.0001258328,0.0020488172,0.00020872001,0.00011546989,0.0004810349,0.0004072763,0.65505534,0.0746335,0.06391695,0.0018105767,0.20087431],"study_design_scores_gemma":[0.000020871546,0.0001427743,0.00024402974,0.000012007349,0.000021718542,0.00021564464,0.00003543543,0.98307854,0.009577504,0.0038849518,0.0027400262,0.000026467522],"about_ca_topic_score_codex":0.0011978465,"about_ca_topic_score_gemma":0.001393205,"teacher_disagreement_score":0.0011978465,"about_ca_system_score_codex":0.00034909233,"about_ca_system_score_gemma":0.00077260955,"threshold_uncertainty_score":0.0030562282},"labels":[],"label_agreement":null},{"id":"W4360584337","doi":"10.1109/tvt.2023.3260466","title":"Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Battery (electricity); State of charge; Task (project management); Computer science; Artificial neural network; Energy management; Engineering; State (computer science); Real-time computing; Automotive engineering; Simulation; Artificial intelligence; Energy (signal processing); Power (physics); Algorithm","score_opus":0.02134755857794351,"score_gpt":0.27521356018603516,"score_spread":0.25386600160809164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360584337","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12188285,0.00045065806,0.8722912,0.00020767718,0.00009200515,0.00007488045,0.0001474234,0.0019320067,0.0029212574],"genre_scores_gemma":[0.96209264,0.00008835167,0.035921913,0.00008571484,0.000025050957,0.0000701444,0.00021635585,0.000031660187,0.0014682831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975675,0.00003408384,0.000014219687,0.00008318617,0.0000637126,0.00004801049],"domain_scores_gemma":[0.9996457,0.00009149393,0.000047813945,0.000038873946,0.00015191661,0.000024233585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041947994,0.00077021937,0.0005109651,0.00042898717,0.00029061848,0.00046360606,0.0010431395,0.0005161992,0.00081031356],"category_scores_gemma":[0.00139237,0.00021486252,0.00037597926,0.00040207125,0.0002515657,0.0009993088,0.0007522423,0.000719294,0.00031050097],"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":[0.00030785287,0.00035445765,0.0049689133,0.00010602839,0.00006754361,0.00017312761,0.00011458697,0.5090026,0.01364617,0.0013263974,0.0026007262,0.46733153],"study_design_scores_gemma":[0.00000427903,0.000033448676,0.0005292261,0.0000022256468,0.0000041526264,0.0000128613965,0.00000988692,0.99619627,0.00220259,0.0008089256,0.00019135566,0.00000477814],"about_ca_topic_score_codex":0.0053243735,"about_ca_topic_score_gemma":0.0044779796,"teacher_disagreement_score":0.0053243735,"about_ca_system_score_codex":0.00046031555,"about_ca_system_score_gemma":0.000626719,"threshold_uncertainty_score":0.010586739},"labels":[],"label_agreement":null},{"id":"W4361766648","doi":"10.1109/tvt.2023.3259723","title":"Jamming-Enhanced Secure UAV Communications With Propulsion Energy and Curvature Radius Constraints","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":10,"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 Victoria","funders":"National Natural Science Foundation of China","keywords":"Jamming; Scheduling (production processes); Computer science; Curvature; Base station; Convex optimization; Real-time computing; Mathematical optimization; Regular polygon; Computer network; Mathematics","score_opus":0.005307152102449446,"score_gpt":0.1953011112428051,"score_spread":0.18999395914035566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361766648","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":[0.08737364,0.0008789916,0.9053683,0.00027128958,0.00008217349,0.00003370123,0.00007331538,0.00016774313,0.0057508294],"genre_scores_gemma":[0.9699285,0.00052651344,0.027285103,0.0000416625,0.000040548624,0.000040493444,0.00006204232,0.000013660614,0.0020614762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995803,0.00012536504,0.000015385825,0.000076517776,0.00011485561,0.00008756055],"domain_scores_gemma":[0.99950016,0.00020957102,0.00012069281,0.000046205012,0.00009179172,0.000031600084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035874944,0.0010743912,0.0007225351,0.00034702657,0.00048271444,0.0007129802,0.00066731253,0.0005952076,0.00070713606],"category_scores_gemma":[0.0010661188,0.00032248785,0.00041748828,0.0007672624,0.0005246834,0.0008847741,0.0009636644,0.000808711,0.00023126708],"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":[0.00012389502,0.000020005638,0.0005299789,0.00008774629,0.00002480092,0.00029617117,0.00007622207,0.96397865,0.0071495865,0.012507735,0.00068324205,0.014521934],"study_design_scores_gemma":[0.0000052120313,0.00003548764,0.00006812922,0.0000024279377,0.000005614939,0.000035604862,0.00001036989,0.99783796,0.0006681642,0.0011090217,0.00021785138,0.0000042447773],"about_ca_topic_score_codex":0.0037373886,"about_ca_topic_score_gemma":0.002877824,"teacher_disagreement_score":0.0037373886,"about_ca_system_score_codex":0.00061313726,"about_ca_system_score_gemma":0.00082710595,"threshold_uncertainty_score":0.0074312687},"labels":[],"label_agreement":null},{"id":"W4362592608","doi":"10.1109/tvt.2023.3262356","title":"Velocity Optimization for UAV-Mounted Transmitter in Population-Varying Fields","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and 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":"Western University","funders":"","keywords":"Throughput; Transmitter; Interference (communication); Reliability (semiconductor); Computer science; Population; Real-time computing; Simulation; Engineering; Aerospace engineering; Computer network; Wireless; Telecommunications","score_opus":0.00889027663942446,"score_gpt":0.2335426160988786,"score_spread":0.22465233945945415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362592608","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":[0.17877191,0.0006999293,0.81292987,0.0003886077,0.000070876864,0.000041083884,0.00006630638,0.00013379753,0.0068976264],"genre_scores_gemma":[0.97018695,0.00026866668,0.026403366,0.000048620004,0.000024329845,0.00003481621,0.00005040761,0.0000229486,0.002959927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998505,0.000041930016,0.0000035705932,0.000027338401,0.000025795382,0.000050859824],"domain_scores_gemma":[0.9996327,0.00018375258,0.00006319369,0.000016335149,0.00007023856,0.000033833305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003815517,0.0007464809,0.00054854853,0.00038206222,0.000371338,0.00052220066,0.0005488142,0.0005243032,0.0010183413],"category_scores_gemma":[0.001140532,0.00030685303,0.00027181127,0.00035542098,0.0004959121,0.0005063378,0.0005565154,0.00037030666,0.00017814183],"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":[0.000028720613,0.00001228905,0.00045064898,0.0000151591275,0.000008801227,0.000048417784,0.00002287164,0.9896785,0.0017642755,0.0029403402,0.00023797093,0.0047920356],"study_design_scores_gemma":[0.000005589946,0.000030944437,0.00014870847,0.000002132199,0.000002999868,0.000009674416,0.0000172168,0.99860734,0.00024122097,0.00079566037,0.00013588712,0.0000025898364],"about_ca_topic_score_codex":0.0068464037,"about_ca_topic_score_gemma":0.0046109003,"teacher_disagreement_score":0.0068464037,"about_ca_system_score_codex":0.00078599766,"about_ca_system_score_gemma":0.00077537145,"threshold_uncertainty_score":0.013613105},"labels":[],"label_agreement":null},{"id":"W4365129844","doi":"10.1109/tvt.2023.3266230","title":"Massive Access in Extra Large-Scale MIMO With Mixed-ADC Over Near-Field Channels","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Beijing Nova Program; Natural Science Foundation of Shandong Province; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"MIMO; Computer science; Compressed sensing; Telecommunications link; Channel (broadcasting); Piecewise; Base station; Channel state information; Computer engineering; Electronic engineering; Algorithm; Real-time computing; Wireless; Engineering; Computer network; Mathematics; Telecommunications","score_opus":0.009238294946367897,"score_gpt":0.2302207898914821,"score_spread":0.22098249494511418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365129844","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":[0.06223636,0.00036064684,0.93298125,0.0001902414,0.0000710128,0.000046974703,0.000058182028,0.00038740865,0.003667929],"genre_scores_gemma":[0.9111143,0.00019048505,0.0860777,0.00014841586,0.00005629696,0.000051668045,0.000055588625,0.00001280365,0.0022928321],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999572,0.00012735688,0.000019562127,0.00007443915,0.0001445815,0.00006215735],"domain_scores_gemma":[0.9991418,0.00042223447,0.00010316328,0.00014016108,0.00013374814,0.000058834838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042007834,0.0005367612,0.00043176897,0.00024159162,0.00040767164,0.0006875323,0.000567323,0.00036339395,0.0013313004],"category_scores_gemma":[0.0014121662,0.0001784293,0.00022052498,0.00042740078,0.0005111792,0.0011515141,0.0010757626,0.00063421944,0.0003286814],"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":[0.000988146,0.00023116368,0.004914063,0.00043815313,0.00015450838,0.0012753819,0.0006360534,0.37162423,0.14773346,0.056648523,0.0033687619,0.41198763],"study_design_scores_gemma":[0.000035241526,0.00024245791,0.00052159076,0.000018553435,0.000023906792,0.0003534059,0.00009974929,0.9698102,0.017744254,0.008564345,0.0025625532,0.000023795063],"about_ca_topic_score_codex":0.00070198206,"about_ca_topic_score_gemma":0.0016450493,"teacher_disagreement_score":0.0013313004,"about_ca_system_score_codex":0.00023252628,"about_ca_system_score_gemma":0.00035641552,"threshold_uncertainty_score":0.004453659},"labels":[],"label_agreement":null},{"id":"W4366261259","doi":"10.1109/tvt.2023.3260799","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Engineering; Telecommunications; Electrical engineering","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366261259","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.092942886,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4366310785","doi":"10.1109/tvt.2023.3267181","title":"Trusted Collaboration for MEC-Enabled VR Video Streaming: A Multi-Agent Reinforcement Learning Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":19,"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":"National Natural Science Foundation of China","keywords":"Computer science; Rendering (computer graphics); Reinforcement learning; Server; Wireless; Virtual reality; Distributed computing; Wireless network; Multimedia; Human–computer interaction; Computer network; Artificial intelligence","score_opus":0.026270697834006655,"score_gpt":0.2822521011282322,"score_spread":0.25598140329422553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366310785","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":[0.03917451,0.000304457,0.9572358,0.00034495004,0.000037611,0.00005140736,0.000014140531,0.00024907495,0.0025880004],"genre_scores_gemma":[0.9577394,0.00010745623,0.040836778,0.00008200443,0.000028541577,0.000056080353,0.000015574005,0.000023206574,0.0011108672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994097,0.00020326563,0.00002424853,0.00013666798,0.00011879537,0.00010728716],"domain_scores_gemma":[0.99872273,0.00066314463,0.00019844057,0.000062926556,0.00021298626,0.00013973427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012225355,0.0007363847,0.00096321554,0.00038210757,0.00051022874,0.00074230303,0.0014068902,0.001036617,0.0011167086],"category_scores_gemma":[0.0030080471,0.0003337996,0.00045055881,0.00024566607,0.0007466666,0.00096374896,0.0013126958,0.0010571842,0.00011144653],"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":[0.00008093941,0.00008028587,0.0009623478,0.000044821114,0.000047502435,0.00016464716,0.00013257432,0.95999223,0.0020930304,0.008769341,0.00057511014,0.027057124],"study_design_scores_gemma":[0.0000055485734,0.000013529319,0.000034810364,0.0000014250186,0.00000390194,0.0000061754467,0.0000059186673,0.9989668,0.000105341176,0.0007771758,0.00007710704,0.000002208432],"about_ca_topic_score_codex":0.006721783,"about_ca_topic_score_gemma":0.0048920726,"teacher_disagreement_score":0.006721783,"about_ca_system_score_codex":0.0008850764,"about_ca_system_score_gemma":0.0011995804,"threshold_uncertainty_score":0.013365328},"labels":[],"label_agreement":null},{"id":"W4366310803","doi":"10.1109/tvt.2023.3268025","title":"UAV-Assisted Wireless Backhaul Networks: Connectivity Analysis of Uplink Transmissions","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":20,"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 Windsor","funders":"Natural Science Foundation of Jiangsu Province; China Postdoctoral Science Foundation","keywords":"Backhaul (telecommunications); Computer network; Telecommunications link; Computer science; Base station; Wireless network; Wireless; Path loss; Cellular network; Telecommunications","score_opus":0.009155385735516488,"score_gpt":0.22327185496227545,"score_spread":0.21411646922675895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366310803","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":[0.3773692,0.0027385934,0.60834223,0.0004229857,0.000048460206,0.00009505599,0.0002765186,0.00020694078,0.010500053],"genre_scores_gemma":[0.9905973,0.00088584464,0.0074683405,0.0000348829,0.000027745324,0.000045634544,0.00010661492,0.000014688204,0.00081891066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956805,0.00014680132,0.0000148386425,0.00007276416,0.00010603087,0.00009140459],"domain_scores_gemma":[0.9985877,0.00075889425,0.00028349558,0.00006622871,0.00025420208,0.000049614464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005296743,0.00057556847,0.0003719444,0.00095068564,0.00045223525,0.000675734,0.0008674229,0.00074213435,0.0008908028],"category_scores_gemma":[0.0032244318,0.00024252401,0.00049210846,0.0009343116,0.0007882501,0.0010754105,0.0007166417,0.00043318263,0.00015702023],"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":[0.000061601946,0.000034012173,0.0043589775,0.00008863239,0.00003405953,0.00044195028,0.00015305207,0.9508144,0.0053626006,0.028407985,0.00068307976,0.009559582],"study_design_scores_gemma":[0.000001208332,0.000024337862,0.0008450611,0.0000071055483,0.00000688943,0.00009305052,0.000042319592,0.996427,0.00038995003,0.0019523466,0.00020661669,0.0000041371654],"about_ca_topic_score_codex":0.005892409,"about_ca_topic_score_gemma":0.0025380852,"teacher_disagreement_score":0.005892409,"about_ca_system_score_codex":0.0011123578,"about_ca_system_score_gemma":0.00038540023,"threshold_uncertainty_score":0.011716187},"labels":[],"label_agreement":null},{"id":"W4366310804","doi":"10.1109/tvt.2023.3267826","title":"Partial-NOMA Based PLS: Following NOMA Decoding Principle or Enhanced Decoding Design?","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":false,"ca_institutions":"University of Waterloo","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Noma; Decoding methods; Computer science; Secrecy; Physical layer; Transmission (telecommunications); Outage probability; Computer network; Electronic engineering; Algorithm; Telecommunications; Engineering; Wireless; Computer security; Telecommunications link; Fading","score_opus":0.035118234530882905,"score_gpt":0.2863419471828659,"score_spread":0.25122371265198296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366310804","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":[0.006384947,0.0005718233,0.9869086,0.00045751903,0.00013499323,0.000060748047,0.000065862885,0.00019482657,0.005220574],"genre_scores_gemma":[0.6913023,0.003093774,0.29249024,0.0011338138,0.00043348488,0.00035848876,0.00025997276,0.00009999728,0.010827903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986436,0.00063934294,0.000077576486,0.00025810514,0.00026809066,0.00011329091],"domain_scores_gemma":[0.998966,0.0002876729,0.00013828192,0.00027526252,0.00029299394,0.000039872844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009488043,0.0014740181,0.00071602047,0.0003564726,0.0005347181,0.001287915,0.00089061493,0.0011621935,0.002216859],"category_scores_gemma":[0.0028255603,0.00036217846,0.00062394794,0.0008057826,0.0013313721,0.0022257948,0.0015027141,0.001070948,0.0012392191],"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":[0.0005811709,0.00011537172,0.0016033832,0.0009069212,0.00024668808,0.00065975013,0.0005792782,0.13781025,0.110347815,0.43953767,0.006953318,0.30065843],"study_design_scores_gemma":[0.00007723647,0.0006313414,0.0005936755,0.00014331123,0.0001359264,0.002435164,0.00015133507,0.8268228,0.047428977,0.09051973,0.030924024,0.00013640142],"about_ca_topic_score_codex":0.0004392306,"about_ca_topic_score_gemma":0.0006793367,"teacher_disagreement_score":0.002216859,"about_ca_system_score_codex":0.0003740457,"about_ca_system_score_gemma":0.0009077027,"threshold_uncertainty_score":0.0074160695},"labels":[],"label_agreement":null},{"id":"W4368232611","doi":"10.1109/tvt.2023.3271613","title":"Task Offloading and Resource Allocation in Vehicular Networks: A Lyapunov-Based Deep Reinforcement Learning Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","field":"Computer Science","cited_by":76,"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":"Lyapunov optimization; Computer science; Energy consumption; Reinforcement learning; Server; Resource allocation; Queueing theory; Mobile edge computing; Distributed computing; Queuing delay; Queue; Edge computing; Task (project management); Computer network; Enhanced Data Rates for GSM Evolution; Engineering; Artificial intelligence; Lyapunov exponent","score_opus":0.00823544509153541,"score_gpt":0.20822501065413498,"score_spread":0.19998956556259959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368232611","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":[0.06796452,0.00043667678,0.9270418,0.00054377544,0.00005902382,0.0000422913,0.000032406755,0.0003394038,0.00354005],"genre_scores_gemma":[0.96220785,0.00014150498,0.034958407,0.00013814439,0.000024442093,0.00006569099,0.0000469918,0.000039196602,0.0023778046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998167,0.00005161055,0.000008429948,0.000030204932,0.00004287463,0.00005006647],"domain_scores_gemma":[0.999331,0.0003843754,0.00007015296,0.000022919685,0.00014013029,0.00005147412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006502957,0.000692166,0.0007632905,0.00029956122,0.000301388,0.0005453998,0.00085084134,0.0006083591,0.0011042661],"category_scores_gemma":[0.0016455011,0.00033955032,0.00028162752,0.00027685837,0.00056672253,0.00050765567,0.00069223257,0.0008730432,0.00013504968],"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":[0.000017586182,0.000018163577,0.00027820235,0.00001379534,0.000007976711,0.000015984117,0.000012629507,0.9898662,0.00038770607,0.0014746414,0.00023994209,0.0076672556],"study_design_scores_gemma":[0.0000012085347,0.000004453125,0.0000130225235,6.698458e-7,6.5056435e-7,8.648548e-7,0.000001115714,0.999686,0.000037117814,0.0002294466,0.000024949304,5.025638e-7],"about_ca_topic_score_codex":0.01214943,"about_ca_topic_score_gemma":0.009607124,"teacher_disagreement_score":0.01214943,"about_ca_system_score_codex":0.0009160946,"about_ca_system_score_gemma":0.0015438779,"threshold_uncertainty_score":0.024157405},"labels":[],"label_agreement":null},{"id":"W4376604819","doi":"10.1109/tvt.2023.3268258","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Telecommunications; Computer science; Engineering; Electrical engineering; Computer network","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376604819","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.9070571,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4376851323","doi":"10.1109/tvt.2023.3276323","title":"UAV-Assisted Maritime Legitimate Surveillance: Joint Trajectory Design and Power Allocation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Jamming; Eavesdropping; Computer science; Trajectory; Transmitter power output; Wireless; Benchmark (surveying); Power (physics); Maximization; Power control; Throughput; Real-time computing; Simulation; Mathematical optimization; Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.012117395047626416,"score_gpt":0.2069383493453285,"score_spread":0.1948209542977021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376851323","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":[0.021347368,0.00019960236,0.97599036,0.00010431177,0.000021503176,0.000035974044,0.000019832452,0.00010937662,0.002171745],"genre_scores_gemma":[0.879437,0.00034258634,0.117913194,0.00007282893,0.00002701059,0.000109445595,0.00006953827,0.00003324083,0.0019950238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999635,0.00011846574,0.00001598493,0.00008977809,0.000083242776,0.0000575286],"domain_scores_gemma":[0.9996755,0.000102819,0.0000801731,0.000039964038,0.00006786685,0.000033694556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000397515,0.0008841046,0.00051902625,0.00028283705,0.0002803828,0.00065027806,0.00067847135,0.0007328664,0.00078528305],"category_scores_gemma":[0.0011208513,0.00031408502,0.00041258743,0.0003794043,0.0005044665,0.000701855,0.00083094725,0.00054181507,0.0002627108],"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":[0.00012680369,0.000039607334,0.00081646914,0.00008841591,0.00003260544,0.00016398633,0.00011931306,0.9290057,0.015603606,0.0073985877,0.000596412,0.046008553],"study_design_scores_gemma":[0.000009606883,0.00008591724,0.00015424348,0.000004477469,0.000007825641,0.00004348716,0.000021357671,0.9958937,0.002029816,0.0011893554,0.00055422896,0.0000059287418],"about_ca_topic_score_codex":0.001787205,"about_ca_topic_score_gemma":0.0014981963,"teacher_disagreement_score":0.001787205,"about_ca_system_score_codex":0.0004244646,"about_ca_system_score_gemma":0.0007871152,"threshold_uncertainty_score":0.0035535693},"labels":[],"label_agreement":null},{"id":"W4377235237","doi":"10.1109/tvt.2023.3278698","title":"Second Order Rectified Parallel Factor Model Based Cascaded Channel Estimation in IRS-Assisted SWIPT System","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Channel (broadcasting); Algorithm; MIMO; Transmitter; Computer science; Least-squares function approximation; Overhead (engineering); Control theory (sociology); Electronic engineering; Engineering; Mathematics; Estimator; Telecommunications; Artificial intelligence; Statistics","score_opus":0.02296372191063549,"score_gpt":0.2460458946538071,"score_spread":0.2230821727431716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377235237","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":[0.016177416,0.00022086003,0.9814664,0.00007777435,0.00003053418,0.000021151252,0.000033034656,0.00028744957,0.0016854063],"genre_scores_gemma":[0.7298155,0.00074894907,0.26427197,0.00009851863,0.000059576927,0.00007897178,0.00014239615,0.00004944624,0.0047346754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995913,0.00008552223,0.000015948388,0.00010674966,0.00015533286,0.000045057335],"domain_scores_gemma":[0.9997323,0.000080923724,0.000053632837,0.00003994985,0.000081715756,0.00001142798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003262009,0.00081805716,0.00059499714,0.0002550057,0.00032458775,0.00052309816,0.0007425974,0.0006058649,0.001142036],"category_scores_gemma":[0.00069337775,0.00037039488,0.0006541584,0.0004518061,0.00041573565,0.0011737193,0.0005130642,0.0007128508,0.000414665],"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":[0.00027561927,0.000088987406,0.0013947281,0.00022849596,0.000097609474,0.00042322022,0.00024087606,0.7262014,0.063413054,0.011008256,0.002175332,0.19445242],"study_design_scores_gemma":[0.0000047869385,0.000056744877,0.00014112725,0.000004031787,0.000009904815,0.000083878374,0.000011393665,0.9932272,0.0048831706,0.00090494956,0.0006621933,0.000010600131],"about_ca_topic_score_codex":0.0036105334,"about_ca_topic_score_gemma":0.004009514,"teacher_disagreement_score":0.0036105334,"about_ca_system_score_codex":0.00037156942,"about_ca_system_score_gemma":0.00057392917,"threshold_uncertainty_score":0.007179022},"labels":[],"label_agreement":null},{"id":"W4377708826","doi":"10.1109/tvt.2023.3279295","title":"A Unified Joint Optimization of Training Sequences and Transceivers Based on Matrix-Monotonic Optimization","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council; National Natural Science Foundation of China","keywords":"MIMO; Channel state information; Benchmark (surveying); Computer science; Transceiver; Transmitter; Algorithm; Optimization problem; Mathematical optimization; Joint (building); Channel (broadcasting); Mathematics; Wireless; Engineering; Telecommunications","score_opus":0.015414538861305522,"score_gpt":0.22783451492983822,"score_spread":0.2124199760685327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377708826","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":[0.0026560142,0.00016665076,0.99525213,0.000074724914,0.000017156122,0.000029024313,0.00003341538,0.0000829845,0.0016878275],"genre_scores_gemma":[0.32168534,0.0011845822,0.66895187,0.00023954471,0.00014435033,0.0004952326,0.00034803292,0.000181299,0.006769814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992842,0.0002920708,0.000032624932,0.00012826314,0.00017920492,0.00008372469],"domain_scores_gemma":[0.99927217,0.00039064971,0.0000795023,0.00007242794,0.00014916211,0.00003613226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012433312,0.0017291189,0.0011325404,0.0005446086,0.000325978,0.0011766747,0.0011496296,0.0010594391,0.0025651911],"category_scores_gemma":[0.0032060517,0.0005606162,0.00064011256,0.0010984339,0.0008521472,0.0014897159,0.0012368867,0.0015283375,0.0009981637],"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":[0.00005458591,0.000047397163,0.00020160062,0.00011513981,0.000041176467,0.00007277118,0.000066219116,0.9105852,0.004996873,0.034798834,0.0015032601,0.047516886],"study_design_scores_gemma":[0.000007970004,0.000057753354,0.000038524606,0.000010094428,0.00000750696,0.000030659477,0.000009087391,0.99250835,0.0012877628,0.005450495,0.0005823039,0.000009494267],"about_ca_topic_score_codex":0.0016815629,"about_ca_topic_score_gemma":0.0017667725,"teacher_disagreement_score":0.0025651911,"about_ca_system_score_codex":0.0006340242,"about_ca_system_score_gemma":0.0020554906,"threshold_uncertainty_score":0.0085814595},"labels":[],"label_agreement":null},{"id":"W4378648200","doi":"10.1109/tvt.2023.3280459","title":"Federated Quantum Neural Network with Quantum Teleportation for Resource Optimization in Future Wireless Communication","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Teleportation; Computer science; Quantum teleportation; Quantum channel; Wireless network; Quantum; Quantum computer; Wireless; Quantum network; Telecommunications; Quantum entanglement; Quantum mechanics; Physics","score_opus":0.011739747459976295,"score_gpt":0.23447016248301464,"score_spread":0.22273041502303834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378648200","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":[0.06027622,0.0009893032,0.92889446,0.0005463584,0.00010853247,0.000046838075,0.00006326883,0.00016618562,0.00890885],"genre_scores_gemma":[0.9252911,0.00045127192,0.0702603,0.00016890258,0.000031452808,0.00008156417,0.000044531593,0.000021401793,0.0036494147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999798,0.0000622759,0.000009163061,0.00004046095,0.0000517274,0.000038414044],"domain_scores_gemma":[0.9997656,0.00011518801,0.000031667372,0.000025207974,0.00004713311,0.000015231674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058035634,0.0003598179,0.00048560553,0.00018677881,0.0003597639,0.0006796832,0.000777243,0.00068022107,0.0016541319],"category_scores_gemma":[0.0010439269,0.00017360934,0.00026531957,0.00037010474,0.0006664993,0.0013617916,0.000762137,0.0007818606,0.00013870979],"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":[0.00012038134,0.00006240378,0.0006104916,0.000112063164,0.000042995925,0.000108028165,0.00004936517,0.88021,0.006229233,0.072943814,0.0012225434,0.038288668],"study_design_scores_gemma":[0.0000035601463,0.000015953674,0.000039082235,0.0000028334036,0.000003470602,0.000009798113,0.0000046816253,0.99332833,0.0005456931,0.005688352,0.00035433305,0.000003968851],"about_ca_topic_score_codex":0.0018076728,"about_ca_topic_score_gemma":0.0027030755,"teacher_disagreement_score":0.0018076728,"about_ca_system_score_codex":0.0007522994,"about_ca_system_score_gemma":0.0008153434,"threshold_uncertainty_score":0.005533576},"labels":[],"label_agreement":null},{"id":"W4379528744","doi":"10.1109/tvt.2023.3283306","title":"Joint Mode Selection and Resource Allocation for D2D and Femtocell Users in Dense Heterogeneous Networks with Full Frequency Reuse","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Femtocell; Computer science; Resource allocation; Iterative method; Convex optimization; Power control; Computational complexity theory; Overhead (engineering); Throughput; Frequency allocation; Heterogeneous network; Transmitter power output; Heuristic; Telecommunications link; Wireless network; Channel (broadcasting); Algorithm; Power (physics); Computer network; Wireless; Mathematics; Transmitter; Regular polygon; Base station; Telecommunications","score_opus":0.008600613991823172,"score_gpt":0.20701256045067037,"score_spread":0.1984119464588472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379528744","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":[0.2566265,0.00045312103,0.7378659,0.0002865057,0.000027596836,0.00006621305,0.00006353525,0.00014652315,0.0044642184],"genre_scores_gemma":[0.9732676,0.00013373981,0.025801297,0.000036930567,0.000011977543,0.000028010752,0.000020946898,0.0000072082944,0.0006923613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999567,0.0001709869,0.000011138171,0.00006288685,0.00007002787,0.00011805821],"domain_scores_gemma":[0.9994066,0.00038904604,0.000067073684,0.000036361478,0.000051708575,0.000049287944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071471767,0.0006523886,0.00063573604,0.00037936415,0.0004407167,0.00069473503,0.00061787514,0.00047598948,0.00067717425],"category_scores_gemma":[0.0015065022,0.00026604938,0.0003344756,0.00067510415,0.0004983522,0.0006111725,0.0008439541,0.00034709374,0.000086743574],"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":[0.0000926575,0.000058890848,0.001242575,0.000027518372,0.000029274222,0.00014776354,0.000042246556,0.96895736,0.0029527186,0.0036489558,0.00031760463,0.022482468],"study_design_scores_gemma":[0.00000596068,0.000016091904,0.00012353025,0.0000010203737,0.0000039861675,0.000013746241,0.000016353997,0.9980659,0.00041560875,0.0012670577,0.000068184956,0.0000025617014],"about_ca_topic_score_codex":0.008455483,"about_ca_topic_score_gemma":0.008567188,"teacher_disagreement_score":0.008455483,"about_ca_system_score_codex":0.0006942307,"about_ca_system_score_gemma":0.00072356936,"threshold_uncertainty_score":0.016812563},"labels":[],"label_agreement":null},{"id":"W4380303742","doi":"10.1109/tvt.2023.3285069","title":"Multi-User Dynamic Computation Offloading and Resource Allocation in 5G MEC Heterogeneous Networks with Static and Dynamic Subchannels","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":31,"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 Windsor","funders":"","keywords":"Computation offloading; Computer science; Mobile edge computing; Lyapunov optimization; Server; Base station; Computer network; Distributed computing; User equipment; Energy consumption; Resource allocation; Wireless; Queuing delay; Wireless network; Queueing theory; Edge computing; Enhanced Data Rates for GSM Evolution; Engineering","score_opus":0.008578188534546642,"score_gpt":0.2350261626355015,"score_spread":0.22644797410095485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380303742","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":[0.20618781,0.00060642615,0.7855489,0.00026946724,0.000055325207,0.00004571629,0.000054890374,0.00019137001,0.0070401463],"genre_scores_gemma":[0.9898246,0.0000937973,0.009287958,0.000025168902,0.00000779903,0.000016107697,0.000013879401,0.0000060626635,0.00072455924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970526,0.00007772846,0.000011134242,0.000071376235,0.00005219726,0.00008237777],"domain_scores_gemma":[0.9998435,0.00006285573,0.00002143054,0.000019496527,0.000034740413,0.000017952481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029220994,0.00045002784,0.0004227925,0.00017809427,0.000446608,0.00054813613,0.0005553052,0.00032249707,0.00061590463],"category_scores_gemma":[0.0006449801,0.00016262969,0.00025215812,0.00035498265,0.00040829176,0.0006366747,0.0005852442,0.00026667383,0.000068062734],"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":[0.00013952424,0.0000376218,0.0016910988,0.000042977576,0.000032309927,0.00026809596,0.00009740399,0.93517745,0.009475612,0.012261974,0.0008158574,0.039960008],"study_design_scores_gemma":[0.0000022145832,0.000013757619,0.00017892045,0.000001337384,0.0000046473187,0.000019021558,0.000021208874,0.9976439,0.0005534112,0.0013568116,0.0002015407,0.000003359388],"about_ca_topic_score_codex":0.004969146,"about_ca_topic_score_gemma":0.0062780897,"teacher_disagreement_score":0.004969146,"about_ca_system_score_codex":0.0007150675,"about_ca_system_score_gemma":0.0004949631,"threshold_uncertainty_score":0.009880424},"labels":[],"label_agreement":null},{"id":"W4380362904","doi":"10.1109/tvt.2023.3285073","title":"Joint Computation Offloading and Data Caching in Multi-Access Edge Computing Enabled Internet of Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":43,"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 Windsor","funders":"","keywords":"Computer science; Computer network; Telecommunications link; Integer programming; The Internet; Mobile edge computing; Edge computing; Enhanced Data Rates for GSM Evolution; Base station; Data transmission; Server; Distributed computing; Simulated annealing; Operating system; Algorithm","score_opus":0.07323033563418152,"score_gpt":0.3216071102366743,"score_spread":0.2483767746024928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380362904","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":[0.33959082,0.001914035,0.6439381,0.0005143289,0.00017941973,0.000110282796,0.00009766685,0.0006330732,0.013022341],"genre_scores_gemma":[0.9873455,0.0001428043,0.011135971,0.00004498695,0.000011409814,0.000018475272,0.000030226354,0.0000146793855,0.0012559813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994836,0.00010610051,0.000019162428,0.00010085778,0.00011201735,0.00017820268],"domain_scores_gemma":[0.99961495,0.00012955583,0.00003914115,0.000048725604,0.000118230746,0.00004942514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003949909,0.00050559366,0.00079989113,0.00035539188,0.00080567243,0.00092906354,0.0010517802,0.0005500868,0.00083280326],"category_scores_gemma":[0.0008682738,0.00021861526,0.00036346895,0.0006445628,0.000497533,0.0010444361,0.00078087335,0.0003706107,0.000113172304],"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":[0.00027508973,0.000146141,0.0029617723,0.000106339205,0.00005135406,0.0003508717,0.0001265143,0.91677314,0.00789067,0.0117488755,0.0018939313,0.057675228],"study_design_scores_gemma":[0.000004236913,0.000027311447,0.00016115606,0.0000018685554,0.0000050868853,0.000020709404,0.000030723753,0.99745876,0.000672147,0.0013197971,0.00029366382,0.0000045892325],"about_ca_topic_score_codex":0.015198666,"about_ca_topic_score_gemma":0.016322985,"teacher_disagreement_score":0.015198666,"about_ca_system_score_codex":0.0010451549,"about_ca_system_score_gemma":0.0012267891,"threshold_uncertainty_score":0.030220449},"labels":[],"label_agreement":null},{"id":"W4380785670","doi":"10.1109/tvt.2023.3286660","title":"Dynamic Beam-Based Random Access Scheme for M2M Communications in Massive MIMO Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Random access; Computer science; Telecommunications link; Markov decision process; MIMO; Exploit; Markov process; Computer network; Distributed computing; Channel (broadcasting); Mathematics","score_opus":0.023512698923374296,"score_gpt":0.29661096892283495,"score_spread":0.27309826999946063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380785670","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":[0.0078727985,0.0002920344,0.98965186,0.00016886252,0.00005831321,0.00005770231,0.00003929496,0.00023149727,0.0016276679],"genre_scores_gemma":[0.8311267,0.0005977455,0.16387914,0.00037367732,0.00010325864,0.00029999658,0.00012801317,0.00003948613,0.0034521017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849963,0.0006533389,0.000069772344,0.0002163689,0.0003396985,0.00022125315],"domain_scores_gemma":[0.998271,0.00090724236,0.00022772243,0.00020119386,0.00030466757,0.000088084824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015579024,0.00079190236,0.0010053818,0.0005127899,0.0007486998,0.00072282297,0.0017824391,0.00094904884,0.0029683444],"category_scores_gemma":[0.0032307042,0.00033176347,0.0005847026,0.00097449817,0.00090900407,0.0012540551,0.0014065009,0.0011309998,0.00072532124],"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":[0.0004944157,0.00021302655,0.00089781877,0.00021417155,0.00010774041,0.00036797192,0.00025241714,0.77502084,0.0224356,0.08120991,0.0045584952,0.11422753],"study_design_scores_gemma":[0.000036100588,0.00011244769,0.000080638725,0.000007928779,0.000012835311,0.000097533426,0.000014793035,0.9907873,0.0015416027,0.00640569,0.0008842444,0.000018923683],"about_ca_topic_score_codex":0.001773069,"about_ca_topic_score_gemma":0.0024500322,"teacher_disagreement_score":0.0029683444,"about_ca_system_score_codex":0.00064470846,"about_ca_system_score_gemma":0.0012432727,"threshold_uncertainty_score":0.009930074},"labels":[],"label_agreement":null},{"id":"W4381162033","doi":"10.1109/tvt.2023.3243998","title":"Performance Analysis of IRS-Aided Short-Packet NOMA Systems Over Nakagami-$m$ Fading Channels","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Science Foundation of Gansu Province","keywords":"Nakagami distribution; Fading; Computer science; Base station; Noma; Network packet; Algorithm; Demodulation; Channel (broadcasting); Electronic engineering; Telecommunications link; Telecommunications; Computer network; Engineering","score_opus":0.01920838422680563,"score_gpt":0.24788930160126083,"score_spread":0.2286809173744552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381162033","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":[0.5519668,0.0019134373,0.42974764,0.0005000378,0.00008897147,0.00008137585,0.00017307166,0.0005044303,0.015024246],"genre_scores_gemma":[0.9926144,0.0003323879,0.006073339,0.00003682068,0.000028119506,0.000021699023,0.000040564715,0.0000139233125,0.00083871366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988128,0.00049294735,0.000042645926,0.000113897746,0.0002610101,0.0002768078],"domain_scores_gemma":[0.99537367,0.002948543,0.0005142466,0.00021179965,0.00085534697,0.00009631081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012406684,0.001134371,0.0008542056,0.0005977207,0.0007188404,0.0011124059,0.00053363765,0.00078661134,0.0017902376],"category_scores_gemma":[0.0047850674,0.00027987882,0.00041645239,0.0007560242,0.0011183044,0.0008907833,0.0010403824,0.00059984275,0.00037639416],"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":[0.0002674845,0.000022892027,0.001858762,0.00007878984,0.00006072124,0.00015780894,0.00011021369,0.97518957,0.0065472247,0.005553204,0.0002896072,0.009863808],"study_design_scores_gemma":[0.000008247969,0.00013357466,0.0006238039,0.0000071063705,0.000027629936,0.00008054051,0.000054466356,0.99615365,0.0019964485,0.0007634078,0.00013611013,0.000014992596],"about_ca_topic_score_codex":0.0060604075,"about_ca_topic_score_gemma":0.0037138364,"teacher_disagreement_score":0.0060604075,"about_ca_system_score_codex":0.0011609105,"about_ca_system_score_gemma":0.0011603682,"threshold_uncertainty_score":0.012050271},"labels":[],"label_agreement":null},{"id":"W4381186385","doi":"10.1109/tvt.2023.3278431","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Telecommunications; Engineering; Systems engineering; Electrical engineering","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381186385","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.092942886,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4381199109","doi":"10.1109/tvt.2023.3285599","title":"Multivariate Variance-Based Genetic Ensemble Learning for Satellite Anomaly Detection","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Actua; University of Waterloo","funders":"","keywords":"Anomaly detection; Computer science; Artificial intelligence; Bootstrapping (finance); Ensemble learning; Multivariate statistics; Random forest; Machine learning; Boosting (machine learning); Time series; Data mining; Mathematics","score_opus":0.014485417910878491,"score_gpt":0.24915101959235617,"score_spread":0.23466560168147768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381199109","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":[0.046446517,0.00044673926,0.9515395,0.00015155376,0.00004780508,0.000023452754,0.0000735043,0.00055568287,0.00071519293],"genre_scores_gemma":[0.8261608,0.00038600602,0.1710058,0.00017285926,0.000101843114,0.00010417586,0.00053444406,0.00009506919,0.0014389877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918157,0.00026749633,0.000042530093,0.0002046729,0.00021761279,0.00008609507],"domain_scores_gemma":[0.9981433,0.0009672946,0.00015188662,0.00019928519,0.0004788634,0.00005949349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020439366,0.00087112165,0.0012655805,0.0012137503,0.000513129,0.00060048915,0.0012388062,0.00076279964,0.0005979423],"category_scores_gemma":[0.0051181708,0.0003855463,0.0009480761,0.0012413167,0.00036858875,0.0009292663,0.0007928001,0.0014765589,0.00018630337],"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":[0.000037821508,0.000059028967,0.0032164396,0.00001672803,0.00015198492,0.000029700315,0.000044459604,0.8831872,0.0010686996,0.0020703042,0.0006643774,0.10945324],"study_design_scores_gemma":[0.0000012115779,0.000008646878,0.00016682888,0.0000013962235,0.000007287042,0.0000039680444,0.0000023366406,0.9988674,0.00014722582,0.00072178093,0.00006937412,0.0000025402994],"about_ca_topic_score_codex":0.012872658,"about_ca_topic_score_gemma":0.01210319,"teacher_disagreement_score":0.012872658,"about_ca_system_score_codex":0.00078248116,"about_ca_system_score_gemma":0.001011924,"threshold_uncertainty_score":0.025595486},"labels":[],"label_agreement":null},{"id":"W4381304734","doi":"10.1109/tvt.2023.3281470","title":"Secure Transmission for STAR-RIS Aided NOMA Against Internal Eavesdropping","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Eavesdropping; Telecommunications link; Maximization; Beamforming; Computer science; Mathematical optimization; Secrecy; Convex optimization; Transmission (telecommunications); Wireless; Optimization problem; Secure transmission; Transmitter power output; Artificial noise; Regular polygon; Transmitter; Computer network; Algorithm; Mathematics; Telecommunications; Physical layer; Channel (broadcasting)","score_opus":0.013291872688330139,"score_gpt":0.24416794210443613,"score_spread":0.230876069416106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381304734","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":[0.06008384,0.0002166157,0.93481755,0.0001871955,0.000050057977,0.000023970118,0.000037704427,0.00021344438,0.004369617],"genre_scores_gemma":[0.95373297,0.00021159506,0.044041265,0.00009047068,0.00003700346,0.000052169016,0.000042421198,0.000020429681,0.001771755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993339,0.00026934885,0.000028062537,0.000100551515,0.00014791099,0.0001200924],"domain_scores_gemma":[0.99940646,0.00026408126,0.00011843753,0.00009013621,0.0000887073,0.000032119016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000576681,0.00093149435,0.00063323043,0.00028604025,0.00048342402,0.0007188558,0.0005201163,0.0005368001,0.0011515641],"category_scores_gemma":[0.0010392783,0.00030448494,0.0005666702,0.00045934267,0.0008104618,0.00078743516,0.0013417342,0.000688482,0.00049544335],"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":[0.00070048997,0.00008868186,0.0016893768,0.00020080784,0.00012249737,0.0007630261,0.00030940052,0.7569104,0.096914455,0.054509364,0.0019877923,0.08580373],"study_design_scores_gemma":[0.000016012988,0.00014399806,0.00015238088,0.000007709317,0.000021279857,0.00013768948,0.00003375172,0.98633844,0.00850542,0.0039042237,0.0007250444,0.00001413822],"about_ca_topic_score_codex":0.0005791136,"about_ca_topic_score_gemma":0.00087150274,"teacher_disagreement_score":0.0011515641,"about_ca_system_score_codex":0.00031237063,"about_ca_system_score_gemma":0.0006717082,"threshold_uncertainty_score":0.0038523674},"labels":[],"label_agreement":null},{"id":"W4382407507","doi":"10.1109/tvt.2023.3290154","title":"Generating and Analyzing Mobility Traces for Bus-Based Vehicular Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Benchmark (surveying); Computer science; Public transport; Vehicular ad hoc network; Node (physics); Computer network; Mobility model; Network topology; Routing (electronic design automation); Bus network; Intelligent transportation system; Component (thermodynamics); Engineering; Wireless ad hoc network; Transport engineering; Telecommunications; System bus; Control bus; Wireless","score_opus":0.009597040307375359,"score_gpt":0.22523058335521545,"score_spread":0.2156335430478401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382407507","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":[0.8167169,0.00044343626,0.14275895,0.0005949779,0.00016491085,0.000656384,0.029059954,0.00625233,0.0033521089],"genre_scores_gemma":[0.8804304,0.00039195275,0.06581952,0.000047691952,0.000025900774,0.00048887025,0.051621627,0.00018847482,0.0009855299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992537,0.00022677485,0.000072161296,0.00011533146,0.00024470448,0.000087274544],"domain_scores_gemma":[0.99758255,0.00096227264,0.00021025853,0.0004168455,0.0007001323,0.00012801688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076880195,0.00070846383,0.00044575837,0.0021005545,0.00049345655,0.0005558774,0.0011562862,0.0006426751,0.00058386667],"category_scores_gemma":[0.00617356,0.0003032248,0.00039835108,0.0018740009,0.00037235345,0.0008012334,0.0007310232,0.0006689315,0.0003913478],"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":[0.00030089,0.0005758919,0.054704983,0.000484248,0.00020855034,0.00086703856,0.00068626343,0.8264954,0.009331754,0.0070590475,0.01493547,0.08435045],"study_design_scores_gemma":[0.000042886368,0.00013645439,0.010664898,0.000047976344,0.000027159447,0.00021110759,0.00053940224,0.9702939,0.007001108,0.0048494097,0.006146198,0.00003946336],"about_ca_topic_score_codex":0.011768789,"about_ca_topic_score_gemma":0.013544209,"teacher_disagreement_score":0.011768789,"about_ca_system_score_codex":0.00079367653,"about_ca_system_score_gemma":0.0009257875,"threshold_uncertainty_score":0.023400545},"labels":[],"label_agreement":null},{"id":"W4382407547","doi":"10.1109/tvt.2023.3288210","title":"Asynchronous Self-Triggered Stochastic Distributed MPC for Cooperative Vehicle Platooning over Vehicular Ad-Hoc Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":38,"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 Victoria","funders":"","keywords":"Platoon; Asynchronous communication; Vehicular ad hoc network; Probabilistic logic; Computer science; Wireless ad hoc network; Control theory (sociology); Stochastic process; Distributed computing; Computer network; Wireless; Mathematics; Control (management); Telecommunications","score_opus":0.005848368320481747,"score_gpt":0.20393658892686065,"score_spread":0.1980882206063789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382407547","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":[0.021746479,0.00013003235,0.97613657,0.00005927849,0.000038719678,0.000021905658,0.000025597368,0.00016646195,0.001674901],"genre_scores_gemma":[0.9824163,0.00011140006,0.016274212,0.000028217511,0.000028456025,0.00003905099,0.000046022786,0.000013713272,0.0010426604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995821,0.00008919935,0.000019551786,0.00009804446,0.00015506889,0.000056056386],"domain_scores_gemma":[0.9996517,0.00011114003,0.0000806994,0.000034241915,0.000094811236,0.00002739907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040902884,0.00064323697,0.00051891076,0.00021602563,0.0003204681,0.00048349728,0.0008610401,0.0003322661,0.0005765274],"category_scores_gemma":[0.0006761347,0.00021727246,0.00036191818,0.00032244297,0.0004224346,0.00043341023,0.0006316394,0.0006286612,0.00009148292],"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":[0.00004708575,0.00001905285,0.0002590991,0.00004644837,0.000022386546,0.000060063507,0.00004287292,0.9741502,0.0034462803,0.0053933007,0.00028674677,0.016226571],"study_design_scores_gemma":[0.0000029667117,0.000016615048,0.000041629883,7.6120426e-7,0.0000022042902,0.0000040465693,0.0000021112141,0.9989492,0.0002579939,0.0005736241,0.00014751547,0.0000013881988],"about_ca_topic_score_codex":0.00401136,"about_ca_topic_score_gemma":0.0034546677,"teacher_disagreement_score":0.00401136,"about_ca_system_score_codex":0.0004311366,"about_ca_system_score_gemma":0.00067876367,"threshold_uncertainty_score":0.007976055},"labels":[],"label_agreement":null},{"id":"W4383220181","doi":"10.1109/tvt.2023.3292354","title":"A Permutated Partial Transmit Sequence Scheme for PAPR Reduction in Polar-Coded OFDM-IM Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","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":"University of Windsor","funders":"Beijing Information Science and Technology University","keywords":"Orthogonal frequency-division multiplexing; Additive white Gaussian noise; Algorithm; Reduction (mathematics); Multiplexing; Decoding methods; Frequency domain; Mathematics; Bit error rate; Transmission (telecommunications); Electronic engineering; Computer science; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.023620205057891062,"score_gpt":0.26051039688905,"score_spread":0.23689019183115892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383220181","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":[0.020557636,0.00038906612,0.9763095,0.00009174026,0.00006887015,0.000052256077,0.000039940078,0.00033480156,0.0021562048],"genre_scores_gemma":[0.4450892,0.0009524142,0.5490408,0.00018647038,0.00013126775,0.00013817856,0.00020259879,0.00005685913,0.0042022727],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968636,0.00010307893,0.000021044138,0.000041906344,0.00012612715,0.000021500065],"domain_scores_gemma":[0.9996136,0.00010998391,0.000063255735,0.00007660385,0.00012134408,0.000015234428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030720106,0.00062353804,0.00028914431,0.00049148145,0.00034326204,0.0003650791,0.00046595067,0.0003382086,0.0016842763],"category_scores_gemma":[0.0009792229,0.0001778182,0.00024929384,0.00051657256,0.00038710525,0.00060720806,0.0003766745,0.00044206274,0.0006420029],"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":[0.00057386834,0.00009289874,0.0006958929,0.00034078743,0.00006400187,0.0003239579,0.00024249332,0.055427454,0.34807298,0.038280994,0.0016531483,0.5542315],"study_design_scores_gemma":[0.00009038784,0.0012058195,0.0008287611,0.000065403685,0.00011022455,0.0020026139,0.00007697762,0.6362637,0.3298467,0.0095151,0.01990823,0.00008603787],"about_ca_topic_score_codex":0.00027242902,"about_ca_topic_score_gemma":0.00047563706,"teacher_disagreement_score":0.0016842763,"about_ca_system_score_codex":0.0001682849,"about_ca_system_score_gemma":0.00040076024,"threshold_uncertainty_score":0.0056344867},"labels":[],"label_agreement":null},{"id":"W4383753047","doi":"10.1109/tvt.2023.3293481","title":"Covert Communication in Two-Hop Cooperative Cognitive Radio System","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":10,"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 New Brunswick","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Covert; Underlay; Transmitter; Cognitive radio; Computer network; Computer science; Transmitter power output; Transmission (telecommunications); Covert channel; Interference (communication); Overlay; Telecommunications; Signal-to-noise ratio (imaging); Wireless; Channel (broadcasting)","score_opus":0.01250856251808129,"score_gpt":0.262036222337571,"score_spread":0.2495276598194897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383753047","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":[0.2872775,0.0013122779,0.7030193,0.00035027225,0.00007190534,0.00005495782,0.00006324672,0.00022367059,0.007626803],"genre_scores_gemma":[0.9936958,0.00022611844,0.0054357857,0.00003575418,0.000017381777,0.00002121806,0.000010967966,0.0000042096403,0.0005527532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804497,0.0004929458,0.00005698957,0.00030829493,0.0006955568,0.0004012558],"domain_scores_gemma":[0.99745446,0.0015104724,0.0004170838,0.00021932164,0.00032279664,0.000075789016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010335501,0.00076085905,0.00092555204,0.000661265,0.00081792654,0.0010583753,0.0011821729,0.0012668933,0.0004647887],"category_scores_gemma":[0.0036254213,0.0003160507,0.0005286728,0.00074019376,0.0015677656,0.0013900897,0.0012390381,0.0005195202,0.0001073423],"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":[0.00039429023,0.000102821345,0.004063265,0.00026670846,0.0001874779,0.0028352018,0.0007598208,0.8803874,0.03039855,0.046743732,0.0008598012,0.03300093],"study_design_scores_gemma":[0.000011533227,0.00008445339,0.00041463907,0.0000074652535,0.000024285888,0.00042394194,0.000047702113,0.99016297,0.0020464952,0.0064621335,0.00029530202,0.000019108113],"about_ca_topic_score_codex":0.0022852698,"about_ca_topic_score_gemma":0.0016241712,"teacher_disagreement_score":0.0022852698,"about_ca_system_score_codex":0.0011098714,"about_ca_system_score_gemma":0.00057731866,"threshold_uncertainty_score":0.008052707},"labels":[],"label_agreement":null},{"id":"W4383960475","doi":"10.1109/tvt.2023.3290164","title":"Timely Status Update in Relay-Assisted Cooperative Communications","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","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":"University of British Columbia","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Shenzhen Science and Technology Innovation Program; Science, Technology and Innovation Commission of Shenzhen Municipality; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Relay; Network packet; Computer network; Time division multiple access; Node (physics); Computer science; Transmission (telecommunications); Telecommunications; Engineering","score_opus":0.017016638230479292,"score_gpt":0.25817374575571067,"score_spread":0.24115710752523137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383960475","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":[0.055522937,0.0072839446,0.91338676,0.0024144885,0.00088492,0.00018824465,0.00036133133,0.000349628,0.019607749],"genre_scores_gemma":[0.9432622,0.003994556,0.04481381,0.00026533168,0.0005962248,0.00015771107,0.00015773514,0.00004790378,0.006704568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978902,0.0006092017,0.00014718885,0.00046311252,0.00063791027,0.0002524971],"domain_scores_gemma":[0.98712033,0.0074763503,0.0020093482,0.0011107157,0.0019389793,0.00034413062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037301178,0.0009276165,0.0014162166,0.0014810581,0.0012308711,0.0031459806,0.0021126312,0.001554424,0.0023487012],"category_scores_gemma":[0.024896812,0.0007185664,0.00038694902,0.0021647296,0.0019967745,0.006977517,0.0022162253,0.0015089723,0.000776175],"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":[0.00053844217,0.0001300265,0.0047724545,0.00084736274,0.000115253475,0.0016252175,0.0016423579,0.34383145,0.006863609,0.45001152,0.008667061,0.18095529],"study_design_scores_gemma":[0.00003795272,0.0002630178,0.00085922563,0.00008995818,0.00007314449,0.00064211874,0.00039932868,0.8153495,0.002757075,0.1662372,0.013197705,0.00009375346],"about_ca_topic_score_codex":0.0015084228,"about_ca_topic_score_gemma":0.0012767653,"teacher_disagreement_score":0.0037301178,"about_ca_system_score_codex":0.0015396014,"about_ca_system_score_gemma":0.0012067616,"threshold_uncertainty_score":0.019726992},"labels":[],"label_agreement":null},{"id":"W4383960525","doi":"10.1109/tvt.2023.3293189","title":"NoncovANM: Gridless DOA Estimation for LPDF System","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computational complexity theory; Algorithm; Direction of arrival; Channel (broadcasting); Cramér–Rao bound; Saddle point; Norm (philosophy); Estimation theory; Mathematics; Telecommunications; Antenna (radio)","score_opus":0.010330204974871995,"score_gpt":0.22814501209593163,"score_spread":0.21781480712105963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383960525","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":[0.0028713113,0.00017895449,0.9957926,0.000059460403,0.00004277103,0.000014596503,0.00005627327,0.0002414809,0.0007425236],"genre_scores_gemma":[0.27402642,0.0011267957,0.7183341,0.00021423207,0.00017639097,0.00027659597,0.0008399981,0.00018404104,0.004821411],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995185,0.000113825496,0.00002163821,0.000121677156,0.00019304769,0.0000312768],"domain_scores_gemma":[0.99956495,0.00015841216,0.00005780658,0.000095752985,0.00010551207,0.000017605782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040944666,0.0008077699,0.0005316855,0.00053125795,0.00034677918,0.00056067307,0.0009798734,0.00067193585,0.0020958062],"category_scores_gemma":[0.0025651348,0.00026917743,0.00048151086,0.0010734551,0.00047255904,0.0008383828,0.0008903214,0.0008835634,0.0010062059],"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":[0.00020519434,0.00007210847,0.0022055295,0.0002745221,0.00006702782,0.00016018451,0.00013375012,0.4090353,0.016398558,0.020144114,0.006395757,0.544908],"study_design_scores_gemma":[0.000011193051,0.000030821237,0.00044035623,0.0000116926785,0.0000066820385,0.00010488635,0.000015940579,0.9881044,0.0025847417,0.004932285,0.0037440222,0.000013066101],"about_ca_topic_score_codex":0.0037434138,"about_ca_topic_score_gemma":0.003955105,"teacher_disagreement_score":0.0037434138,"about_ca_system_score_codex":0.0004134621,"about_ca_system_score_gemma":0.00087470224,"threshold_uncertainty_score":0.007443249},"labels":[],"label_agreement":null},{"id":"W4383960546","doi":"10.1109/tvt.2023.3293988","title":"Energy Efficient Hybrid Precoding for Adaptive Partially-Connected mmWave Massive MIMO: A Decomposition-Based Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","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":"Memorial University of Newfoundland","funders":"","keywords":"Precoding; MIMO; Zero-forcing precoding; Computer science; Electronic engineering; Matrix decomposition; Antenna (radio); Efficient energy use; Spectral efficiency; Engineering; Telecommunications; Beamforming; Electrical engineering","score_opus":0.01933970506602967,"score_gpt":0.23011875845070223,"score_spread":0.21077905338467257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383960546","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":[0.0085017355,0.00011022227,0.9898087,0.000057909267,0.000016906388,0.000012268064,0.000022073398,0.000063299005,0.0014069452],"genre_scores_gemma":[0.59998333,0.0005410698,0.39532477,0.0001768658,0.00007885758,0.00012976654,0.00016842391,0.000045293902,0.0035514724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975735,0.00007611397,0.000010453026,0.00004189373,0.000082123435,0.00003203746],"domain_scores_gemma":[0.99971384,0.00010930352,0.000034859622,0.000049829257,0.00006944893,0.000022587355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025523044,0.00079588086,0.00047733894,0.00023619074,0.00022829653,0.0005378264,0.000548462,0.0004719585,0.0012096311],"category_scores_gemma":[0.0006701678,0.0002517855,0.0004793125,0.00050734583,0.00052130874,0.0006971067,0.0007627546,0.0005763491,0.00034186803],"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":[0.00014710485,0.00007141218,0.00047880012,0.0001510683,0.00008126831,0.0001266704,0.00013635487,0.8136867,0.045067295,0.04476664,0.0017975736,0.09348909],"study_design_scores_gemma":[0.000004150834,0.000037776783,0.00004307703,0.0000042861666,0.0000055331707,0.000027426404,0.000010309235,0.9939389,0.0020335743,0.003401075,0.0004883961,0.0000054833763],"about_ca_topic_score_codex":0.000855634,"about_ca_topic_score_gemma":0.0014053595,"teacher_disagreement_score":0.0012096311,"about_ca_system_score_codex":0.00028877682,"about_ca_system_score_gemma":0.0003964312,"threshold_uncertainty_score":0.0040465593},"labels":[],"label_agreement":null},{"id":"W4383960635","doi":"10.1109/tvt.2023.3294237","title":"Asynchronous Denoise and Forward Two-Way Relay Using ECPM","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cellular Automata and Applications","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":"University of Calgary","funders":"","keywords":"Relay; Asynchronous communication; Decoding methods; Computer science; Synchronization (alternating current); Relay channel; Bit error rate; Signal-to-noise ratio (imaging); Ergodic theory; Chaotic; Noise (video); Algorithm; Control theory (sociology); Electronic engineering; Real-time computing; Channel (broadcasting); Mathematics; Telecommunications; Engineering; Artificial intelligence","score_opus":0.01322672300944301,"score_gpt":0.25174717292248333,"score_spread":0.23852044991304033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383960635","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":[0.026696375,0.0004286173,0.968527,0.0001147762,0.000059568796,0.00006129436,0.000043200595,0.00039773382,0.003671452],"genre_scores_gemma":[0.7702701,0.00047085455,0.22554007,0.000086116874,0.000049183163,0.00010017828,0.000059335045,0.000025469015,0.00339867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994968,0.00017139704,0.0000296183,0.000119698605,0.00014030398,0.000042077187],"domain_scores_gemma":[0.9996258,0.00015009106,0.000055084976,0.00007511874,0.00007682485,0.000017057533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005228718,0.00090731616,0.0006796427,0.00040971857,0.00048278095,0.0006763354,0.0007494247,0.00064737175,0.00091789797],"category_scores_gemma":[0.0011918367,0.00018821385,0.00044959626,0.0005107158,0.0005239145,0.0010015058,0.0006965877,0.00052250933,0.0003583116],"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":[0.0008097708,0.00016541292,0.0016096315,0.00043769347,0.00017950882,0.001200109,0.0008485953,0.40792292,0.18458422,0.082794994,0.003003867,0.3164432],"study_design_scores_gemma":[0.000056685356,0.00027707542,0.00024615365,0.000022693988,0.00006579775,0.00073903584,0.000051714986,0.9417296,0.044364117,0.0080699595,0.0043289447,0.00004817136],"about_ca_topic_score_codex":0.0011767257,"about_ca_topic_score_gemma":0.0012890022,"teacher_disagreement_score":0.0011767257,"about_ca_system_score_codex":0.00045449528,"about_ca_system_score_gemma":0.0004360055,"threshold_uncertainty_score":0.003297627},"labels":[],"label_agreement":null},{"id":"W4384700137","doi":"10.1109/tvt.2023.3289249","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Telecommunications; Computer science; Engineering; Electrical engineering","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384700137","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.9070571,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4384915900","doi":"10.1109/tvt.2023.3294605","title":"Angle Estimation for Bistatic MIMO Radar With a Sparse Moving Array in the Presence of Position Errors and Gain-Phase Perturbation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Spurious relationship; Sensor array; Algorithm; Position (finance); Azimuth; Perturbation (astronomy); Calibration; MIMO; Computer science; Radar; Mathematics; Physics; Telecommunications; Beamforming; Geometry","score_opus":0.011924192798514607,"score_gpt":0.24206051612794988,"score_spread":0.23013632332943526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384915900","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":[0.04009035,0.0002063198,0.9586341,0.00007103223,0.0000383287,0.00000924744,0.000025731812,0.00011722218,0.0008076299],"genre_scores_gemma":[0.678883,0.00075353205,0.31793997,0.0001314155,0.00014845427,0.00005562286,0.00023591192,0.00005747681,0.0017947216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952805,0.0001486389,0.000026254596,0.00011240266,0.00014867916,0.000036001085],"domain_scores_gemma":[0.99950826,0.00019093518,0.00008432465,0.000091678914,0.00010792294,0.000016752783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068672426,0.0006135429,0.00055384106,0.0003162032,0.00016626471,0.0003993075,0.00034379258,0.0005110494,0.00034613494],"category_scores_gemma":[0.002030444,0.0003170865,0.00042543866,0.0005391303,0.00030831044,0.00076292723,0.00077223015,0.0006908535,0.0002092417],"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":[0.0003009451,0.000059549693,0.0017462239,0.0001792974,0.00011917522,0.00022526809,0.0002119772,0.637814,0.110588565,0.019964032,0.0007503214,0.22804064],"study_design_scores_gemma":[0.000011812886,0.00005213019,0.0006591854,0.000006478158,0.00001401586,0.00005826785,0.000014308417,0.98724246,0.009000447,0.002377088,0.0005493296,0.000014495621],"about_ca_topic_score_codex":0.00070436636,"about_ca_topic_score_gemma":0.000593291,"teacher_disagreement_score":0.00070436636,"about_ca_system_score_codex":0.00017550176,"about_ca_system_score_gemma":0.0002373873,"threshold_uncertainty_score":0.0036317706},"labels":[],"label_agreement":null},{"id":"W4385214689","doi":"10.1109/tvt.2023.3298514","title":"Dual Wireless Anti-Interception for Ground Combat Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Ad Hoc Networks","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":"Université du Québec à Montréal","funders":"","keywords":"Interception; Tactical communications; Reinforcement learning; Computer science; Wireless; Throughput; Context (archaeology); Selection (genetic algorithm); Mathematical optimization; Adversary; Wireless network; Dual (grammatical number); Convex optimization; Engineering; Computer network; Regular polygon; Artificial intelligence; Telecommunications; Computer security","score_opus":0.01648832129887284,"score_gpt":0.25124715457962443,"score_spread":0.2347588332807516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385214689","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":[0.11512961,0.0005815262,0.8780956,0.00041383484,0.00007550737,0.000036206242,0.000024577654,0.00028580718,0.0053572548],"genre_scores_gemma":[0.9787708,0.00012589796,0.018963706,0.000045352408,0.000012940556,0.000024396077,0.000017991213,0.000011961097,0.0020269055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998293,0.0000451843,0.000004011517,0.000032075262,0.000041318854,0.000048040078],"domain_scores_gemma":[0.9996636,0.00015498839,0.00006490854,0.000019748019,0.000058116984,0.000038615362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034944707,0.0004864021,0.00041280265,0.00024863964,0.00029448312,0.00045251768,0.00057762937,0.0004286197,0.0011540458],"category_scores_gemma":[0.00095757126,0.00019570137,0.00021996073,0.00017883569,0.00045142916,0.00047544556,0.0007049409,0.0006453087,0.00018697357],"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":[0.00008342538,0.000037845784,0.00072706054,0.000029380843,0.00001456124,0.00006236633,0.0000269393,0.95728445,0.0038547409,0.0037617327,0.0006488543,0.03346862],"study_design_scores_gemma":[0.0000032264095,0.00002045866,0.000046489436,0.0000011681971,0.0000017490967,0.000006414903,0.000003691678,0.9990283,0.00024436484,0.00051724334,0.00012568486,0.0000012112278],"about_ca_topic_score_codex":0.0038424088,"about_ca_topic_score_gemma":0.0032875566,"teacher_disagreement_score":0.0038424088,"about_ca_system_score_codex":0.0005116106,"about_ca_system_score_gemma":0.0005936756,"threshold_uncertainty_score":0.0076401234},"labels":[],"label_agreement":null},{"id":"W4385216811","doi":"10.1109/tvt.2023.3298565","title":"Multi-Cell Over-the-Air Computation Systems With Spectrum Sharing: A Perspective From $\\alpha$-Fairness","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems 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":false,"ca_institutions":"Ericsson (Canada); Dalhousie University","funders":"","keywords":"Convexity; Alpha (finance); Mathematical optimization; Computer science; Wireless; Semidefinite programming; Beamforming; Optimization problem; Convex optimization; Computation; Coordinate descent; Mathematics; Algorithm; Regular polygon","score_opus":0.009432663072368203,"score_gpt":0.22408741598226092,"score_spread":0.21465475290989272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385216811","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":[0.028049042,0.0016415624,0.9569564,0.0011939536,0.00024049915,0.000058127855,0.000054867643,0.0000687096,0.01173681],"genre_scores_gemma":[0.90282476,0.0014387409,0.08787937,0.00033128692,0.00041652055,0.00011952956,0.000043504046,0.000055799395,0.0068904664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841213,0.0005819646,0.000058924117,0.00024594367,0.0004231713,0.0002778982],"domain_scores_gemma":[0.9983912,0.0008906776,0.00017302088,0.00015786923,0.00029439983,0.000092732305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021261354,0.00080079446,0.0011332586,0.00032360983,0.0010249971,0.0022537808,0.0016513577,0.0011706772,0.0020205788],"category_scores_gemma":[0.0035953857,0.0002804392,0.0005147495,0.0007073366,0.0014540988,0.0023455736,0.001740915,0.0012975552,0.00029444072],"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":[0.00019679742,0.00007364927,0.00086236506,0.00012848471,0.000045403824,0.00037325648,0.00021040958,0.6231678,0.0029887995,0.34357116,0.002303836,0.026078092],"study_design_scores_gemma":[0.000007804645,0.000032131113,0.00009142607,0.000009071393,0.000008225466,0.00004658898,0.000038607708,0.9699289,0.00046014308,0.028036159,0.0013308956,0.000009976698],"about_ca_topic_score_codex":0.0035103855,"about_ca_topic_score_gemma":0.0022907613,"teacher_disagreement_score":0.0035103855,"about_ca_system_score_codex":0.0015198997,"about_ca_system_score_gemma":0.0013956432,"threshold_uncertainty_score":0.011244237},"labels":[],"label_agreement":null},{"id":"W4385489473","doi":"10.1109/tvt.2023.3301281","title":"Angular Information Based Robust Downlink Transmission for IRS-Enhanced Cognitive Satellite-Aerial Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Telecommunications link; Transmitter power output; Transmission (telecommunications); Computer network; Computational complexity theory; Real-time computing; Mathematical optimization; Channel (broadcasting); Algorithm; Transmitter; Telecommunications; Mathematics","score_opus":0.012642807229331096,"score_gpt":0.23086497817334023,"score_spread":0.21822217094400914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385489473","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":[0.010566889,0.00017621284,0.987432,0.00005655897,0.000028504339,0.000013274067,0.000022233186,0.00015559125,0.0015487864],"genre_scores_gemma":[0.80007505,0.00040909508,0.19618665,0.00012069968,0.00007764819,0.00007916864,0.00013292866,0.000044548968,0.0028741823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996086,0.0000811864,0.000018657724,0.00007281598,0.00014908986,0.000069676644],"domain_scores_gemma":[0.9996282,0.00015344,0.000068584144,0.000046721245,0.00008257142,0.000020382055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053568685,0.0007277462,0.0005513103,0.00033093235,0.00033730103,0.0006582431,0.0010540095,0.00050033064,0.0011382494],"category_scores_gemma":[0.0013665239,0.0002005996,0.00041418461,0.00050509535,0.000511358,0.00077904604,0.000908246,0.0006962061,0.00032797773],"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":[0.00021393115,0.000066720306,0.00058931083,0.00015766233,0.000050601102,0.00019895557,0.00013886794,0.79024744,0.022104722,0.023099521,0.0018631917,0.16126907],"study_design_scores_gemma":[0.000008554559,0.00004898971,0.00005734079,0.0000038340577,0.000009385754,0.000039951185,0.000012386833,0.99527466,0.00250528,0.0015282452,0.0005049307,0.000006529968],"about_ca_topic_score_codex":0.0022496565,"about_ca_topic_score_gemma":0.002345703,"teacher_disagreement_score":0.0022496565,"about_ca_system_score_codex":0.0005160332,"about_ca_system_score_gemma":0.0007683515,"threshold_uncertainty_score":0.00447315},"labels":[],"label_agreement":null},{"id":"W4385489489","doi":"10.1109/tvt.2023.3301091","title":"Robust Beamforming for IRS-Enhanced Uplink NOMA Transmission in Satellite Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Beamforming; Noma; Robustness (evolution); Computer science; Optimization problem; Transmitter power output; Mathematical optimization; Transmission (telecommunications); Gaussian; User equipment; Electronic engineering; Algorithm; Computer network; Mathematics; Engineering; Telecommunications; Base station; Transmitter","score_opus":0.024655614328354555,"score_gpt":0.24120414465618897,"score_spread":0.21654853032783442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385489489","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":[0.0072940434,0.0002515904,0.99081767,0.00007817818,0.000026023863,0.000009625003,0.000018924118,0.00010464569,0.0013993497],"genre_scores_gemma":[0.7142148,0.0007458473,0.28167978,0.00018217287,0.0001220698,0.00009828744,0.00010553193,0.000047550642,0.002803874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995421,0.00019058453,0.000020035728,0.00006494263,0.00013546829,0.000046872658],"domain_scores_gemma":[0.99964213,0.0001686845,0.000070259106,0.00003273712,0.00007237209,0.000013773847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004443376,0.00074171583,0.00047407617,0.0002527136,0.00024675412,0.00042237382,0.00043924924,0.00046523812,0.0010450329],"category_scores_gemma":[0.0010092768,0.00023454828,0.0003699649,0.00044304188,0.00041564868,0.0006868336,0.0005313648,0.00064995524,0.0004029019],"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":[0.00023007281,0.000051218773,0.00063612015,0.00021046729,0.000087573484,0.0001757412,0.00015148884,0.72981817,0.05808561,0.035314504,0.0020107748,0.1732283],"study_design_scores_gemma":[0.000009655898,0.00007679102,0.00011377119,0.000007043135,0.000010755611,0.00005102186,0.000013190775,0.9926454,0.003285569,0.0028092698,0.00096717087,0.000010312927],"about_ca_topic_score_codex":0.0008261994,"about_ca_topic_score_gemma":0.0010484557,"teacher_disagreement_score":0.0010450329,"about_ca_system_score_codex":0.0002254675,"about_ca_system_score_gemma":0.0003901779,"threshold_uncertainty_score":0.0034959316},"labels":[],"label_agreement":null},{"id":"W4385525334","doi":"10.1109/tvt.2023.3301676","title":"Service-Oriented Network Resource Orchestration in Space-Air-Ground Integrated Network","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":49,"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 Waterloo","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China; Natural Science Foundation of Shenzhen City","keywords":"Computer science; Virtual network; Distributed computing; Network virtualization; Resource allocation; Wireless network; Network topology; Cloud computing; Computer network; Virtualization; Wireless","score_opus":0.013112723791375461,"score_gpt":0.22535744800855925,"score_spread":0.2122447242171838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385525334","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":[0.05512838,0.0007396717,0.9389651,0.00028251877,0.000058645164,0.00005717771,0.00004919925,0.0003869064,0.0043323077],"genre_scores_gemma":[0.922291,0.00036979234,0.07577172,0.00009117953,0.000030023746,0.00007101346,0.000079322395,0.000040328265,0.0012557212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992489,0.00024594096,0.000025480269,0.00014879422,0.00014926451,0.0001815566],"domain_scores_gemma":[0.9997185,0.00010781775,0.000047274807,0.00003170489,0.000044529403,0.00005013393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086986006,0.0006369611,0.00060505816,0.00031890246,0.00054196094,0.0010943641,0.0009820014,0.00055012247,0.00079659215],"category_scores_gemma":[0.0008701415,0.00025929863,0.0003588259,0.0007771523,0.00062743796,0.001088007,0.0010073666,0.0007490016,0.000120439516],"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":[0.00008802409,0.000056492572,0.00055260526,0.000050208553,0.000024425093,0.00015143766,0.00006713324,0.9388115,0.0050544036,0.019667828,0.001131376,0.034344673],"study_design_scores_gemma":[0.0000030629767,0.00001669625,0.00005493338,0.0000019517167,0.000004078996,0.000018645598,0.000016443046,0.9957308,0.00053410145,0.0030665793,0.0005499841,0.0000028456627],"about_ca_topic_score_codex":0.0052188532,"about_ca_topic_score_gemma":0.006390712,"teacher_disagreement_score":0.0052188532,"about_ca_system_score_codex":0.0012547307,"about_ca_system_score_gemma":0.0012756154,"threshold_uncertainty_score":0.01037699},"labels":[],"label_agreement":null},{"id":"W4385848828","doi":"10.1109/tvt.2023.3304856","title":"Symbol-Level Integrated Sensing and Communication Enabled Multiple Base Stations Cooperative Sensing","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":71,"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 Windsor","funders":"National Natural Science Foundation of China","keywords":"Demodulation; Base station; Computer science; Synchronization (alternating current); Sensor fusion; Real-time computing; Electronic engineering; Carrier-to-noise ratio; Communications system; Signal-to-noise ratio (imaging); Engineering; Telecommunications; Artificial intelligence; Channel (broadcasting)","score_opus":0.01848902317872592,"score_gpt":0.22638002439085614,"score_spread":0.20789100121213022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385848828","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":[0.05302897,0.0006471109,0.94084805,0.0001839203,0.00011090952,0.000046632013,0.000042060627,0.0006453905,0.004446932],"genre_scores_gemma":[0.85520226,0.0003471558,0.14175695,0.00019168766,0.00008340889,0.00008030662,0.000092739814,0.000028092078,0.0022173391],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990324,0.00018715228,0.000036767837,0.00021474887,0.00041269368,0.000116225565],"domain_scores_gemma":[0.9993405,0.00015585266,0.00008437243,0.00013794421,0.00024232137,0.000038998256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048878737,0.0005359815,0.0005247341,0.0004334542,0.00032636392,0.0006775196,0.00093801005,0.00074302213,0.0007333873],"category_scores_gemma":[0.0010672712,0.00024894206,0.00046242238,0.0005583426,0.00047530895,0.0010771824,0.0012047493,0.0005828353,0.00040085614],"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":[0.00043976674,0.00013690806,0.0035502496,0.00033796448,0.00015078943,0.0005070163,0.0005888064,0.19639722,0.40519732,0.024580484,0.002890467,0.36522296],"study_design_scores_gemma":[0.000042234173,0.00039555287,0.0015409332,0.000022492282,0.000067425935,0.00038276557,0.00008941221,0.9091091,0.07455818,0.006337582,0.0073880963,0.000066278946],"about_ca_topic_score_codex":0.00092100224,"about_ca_topic_score_gemma":0.0008740187,"teacher_disagreement_score":0.00093801005,"about_ca_system_score_codex":0.0003616847,"about_ca_system_score_gemma":0.0005149649,"threshold_uncertainty_score":0.0026242137},"labels":[],"label_agreement":null},{"id":"W4386083237","doi":"10.1109/tvt.2023.3307409","title":"From Naturalistic Traffic Data to Learning-Based Driving Policy: A Sim-to-Real Study","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Computer science; Reinforcement learning; Observability; Robustness (evolution); Modular design; Artificial intelligence; Machine learning; Generalization; Fidelity","score_opus":0.018735276254664753,"score_gpt":0.27329411346283755,"score_spread":0.2545588372081728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386083237","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":[0.78161895,0.002231911,0.20223838,0.001843545,0.00042901986,0.00015773631,0.0012069469,0.0021978344,0.008075703],"genre_scores_gemma":[0.97832906,0.00028853794,0.019406382,0.00012858846,0.000051329618,0.000029044275,0.00084245624,0.00008677355,0.00083783834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994685,0.0002459094,0.000020856201,0.00014271493,0.00006361701,0.000058376525],"domain_scores_gemma":[0.99737906,0.0016362441,0.00015243511,0.0003284225,0.0003576571,0.00014623474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017758819,0.000742769,0.00051917025,0.00070128066,0.00027771253,0.0007604372,0.0011155923,0.0010395873,0.0016821665],"category_scores_gemma":[0.0070539857,0.00029251736,0.00046489298,0.0005450511,0.00083045405,0.0012948514,0.00077213673,0.0013909686,0.0003193424],"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":[0.00021298567,0.0002651231,0.0083419,0.00021040336,0.000112524714,0.00012128939,0.00012191074,0.9371555,0.0010733402,0.007068345,0.0032280297,0.042088564],"study_design_scores_gemma":[0.0000062058944,0.000023337525,0.00066887494,0.000005220218,0.0000035146097,0.000012792848,0.000028364315,0.99694556,0.00034261405,0.0016094978,0.0003477679,0.000006166326],"about_ca_topic_score_codex":0.022233088,"about_ca_topic_score_gemma":0.011661301,"teacher_disagreement_score":0.022233088,"about_ca_system_score_codex":0.00093128986,"about_ca_system_score_gemma":0.00083716697,"threshold_uncertainty_score":0.044207394},"labels":[],"label_agreement":null},{"id":"W4386090494","doi":"10.1109/tvt.2023.3307692","title":"Joint Access and Relay-Assisted Backhaul Resource Allocation for Dense mmWave Multiple Access Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Backhaul (telecommunications); Computer network; Computer science; Stackelberg competition; Relay; Wireless; Wireless network; Access network; Efficient energy use; Base station; Telecommunications; Engineering","score_opus":0.0453561402722947,"score_gpt":0.26639650167549456,"score_spread":0.22104036140319985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386090494","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":[0.025567774,0.00031162988,0.97236055,0.0000678639,0.000019430707,0.000034495974,0.000018306877,0.000116799245,0.0015031815],"genre_scores_gemma":[0.9568751,0.00027393168,0.041448038,0.000039302435,0.000025243387,0.00006344226,0.000022181559,0.000013015687,0.0012397929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992304,0.0002805183,0.000032606193,0.00012385308,0.00017215265,0.00016053233],"domain_scores_gemma":[0.99954706,0.00024197214,0.000072629526,0.000042792326,0.000061080274,0.000034336594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009881152,0.0008450574,0.0007383125,0.0004525958,0.00048210679,0.0006819551,0.0010892422,0.00049230974,0.0008427483],"category_scores_gemma":[0.0013041421,0.0003264753,0.00057658233,0.0005541537,0.00064482307,0.0012255155,0.0010094633,0.00050491723,0.00014663865],"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":[0.00014843802,0.000104551094,0.00046032856,0.000080873004,0.000058745198,0.00017341638,0.00012010678,0.89334655,0.008346041,0.035134457,0.0007880052,0.061238557],"study_design_scores_gemma":[0.0000060383104,0.00003577845,0.0000540822,0.0000019236609,0.000008527882,0.000027342989,0.000009470234,0.99432385,0.0008996511,0.0044027097,0.00022526558,0.000005425109],"about_ca_topic_score_codex":0.0027054518,"about_ca_topic_score_gemma":0.0028991096,"teacher_disagreement_score":0.0027054518,"about_ca_system_score_codex":0.00089206843,"about_ca_system_score_gemma":0.00096067734,"threshold_uncertainty_score":0.0064724684},"labels":[],"label_agreement":null},{"id":"W4386158440","doi":"10.1109/tvt.2023.3299069","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Telecommunications; Computer science; Engineering; Electrical engineering","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386158440","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.9070571,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4386634584","doi":"10.1109/tvt.2023.3314404","title":"Adaptive Data Transmission and Computing for Vehicles in the Internet-of-Intelligence","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","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":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Lyapunov optimization; Computer science; Reinforcement learning; Optimization problem; Energy consumption; Data transmission; Scheduling (production processes); Mathematical optimization; Stochastic optimization; The Internet; Distributed computing; Artificial intelligence; Engineering; Computer network","score_opus":0.032374034682273505,"score_gpt":0.26414410313286585,"score_spread":0.23177006845059234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386634584","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":[0.060564317,0.0003940889,0.9325701,0.00055937946,0.00007360952,0.000033667904,0.000031953223,0.00022491219,0.005547967],"genre_scores_gemma":[0.96356165,0.00024643258,0.034221414,0.00005984749,0.000019473862,0.00003467839,0.00003773663,0.000021767384,0.001797006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971515,0.000057286998,0.000014238921,0.00007486062,0.000079805075,0.000058640486],"domain_scores_gemma":[0.9997881,0.00008026644,0.0000322011,0.000029804589,0.000051433566,0.000018121447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040105527,0.00039302703,0.00036515307,0.00025269433,0.00050786283,0.00068016595,0.0009612102,0.0005791255,0.0007416801],"category_scores_gemma":[0.00088274636,0.00020992993,0.00033803112,0.00045790043,0.0007254018,0.0011795032,0.0008406938,0.0008793523,0.00014471839],"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":[0.000058112197,0.000047207814,0.0006605989,0.00003289103,0.000017366188,0.00007169373,0.000066558074,0.9248487,0.004179861,0.024890702,0.0010075055,0.044118784],"study_design_scores_gemma":[0.000002104625,0.000011222147,0.00006456268,0.0000014101972,0.0000023603527,0.0000078272715,0.000010189709,0.9948462,0.00060146814,0.0040298663,0.00042003824,0.0000027854537],"about_ca_topic_score_codex":0.006964637,"about_ca_topic_score_gemma":0.0061066803,"teacher_disagreement_score":0.006964637,"about_ca_system_score_codex":0.00083885464,"about_ca_system_score_gemma":0.0010818692,"threshold_uncertainty_score":0.013848186},"labels":[],"label_agreement":null},{"id":"W4386825344","doi":"10.1109/tvt.2023.3303275","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Engineering; Telecommunications; Electrical engineering","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386825344","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.092942886,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4387197029","doi":"10.1109/tvt.2023.3320907","title":"Physical Layer Security in Full-Duplex Millimeter Wave Communication Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":13,"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 British Columbia; University of Windsor","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China","keywords":"Physical layer; Extremely high frequency; Duplex (building); Communications system; Computer science; Telecommunications; Electronic engineering; Materials science; Computer network; Engineering; Wireless","score_opus":0.018679363780776236,"score_gpt":0.24007946356404408,"score_spread":0.22140009978326786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387197029","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":[0.16770983,0.0049051293,0.81258434,0.000708713,0.000088890534,0.00004457888,0.0001082691,0.00012858855,0.013721615],"genre_scores_gemma":[0.9806214,0.0017053835,0.01578063,0.000090730355,0.000047369118,0.000025937501,0.000020994836,0.00000839982,0.0016992007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902666,0.00037712502,0.000036164816,0.00012819584,0.00026824314,0.00016361431],"domain_scores_gemma":[0.9987459,0.0007172795,0.0002262931,0.00013313758,0.00015038344,0.000026920281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088153436,0.0005167843,0.0005059072,0.00034373,0.00045516618,0.0015861033,0.0003791289,0.0009003699,0.0009050494],"category_scores_gemma":[0.0019278261,0.000320243,0.00032976802,0.00049305905,0.0012424203,0.0019066283,0.00094089855,0.0005699125,0.00022294205],"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":[0.00021251958,0.00008940878,0.0027184533,0.00047491718,0.00012146799,0.0007856197,0.00040637256,0.7248816,0.044748332,0.18368423,0.0012717062,0.040605497],"study_design_scores_gemma":[0.000012023078,0.00014179955,0.0010015554,0.00003590185,0.000025561738,0.00032966115,0.0001312878,0.9670039,0.006617185,0.02303327,0.0016399078,0.000027985621],"about_ca_topic_score_codex":0.000901375,"about_ca_topic_score_gemma":0.00057183293,"teacher_disagreement_score":0.0015861033,"about_ca_system_score_codex":0.0008357876,"about_ca_system_score_gemma":0.00063673564,"threshold_uncertainty_score":0.006064117},"labels":[],"label_agreement":null},{"id":"W4387318039","doi":"10.1109/tvt.2023.3321661","title":"Impulse Response Modeling and Dynamic Analysis for SIMO UOWC Systems Enhanced by RIS-Equipped UUVs","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Impulse response; Bandwidth (computing); Attenuation; Transmitter; Transient response; Computer science; Underwater; Electronic engineering; Bit error rate; Frequency response; Acoustics; Engineering; Channel (broadcasting); Optics; Telecommunications; Physics; Electrical engineering; Geology","score_opus":0.010198010895264321,"score_gpt":0.24712489205053395,"score_spread":0.23692688115526964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387318039","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":[0.4379667,0.000415144,0.5461951,0.0002318825,0.00005118603,0.00005190747,0.0001486161,0.00049753324,0.014442033],"genre_scores_gemma":[0.9933416,0.00012001472,0.0039944467,0.000023439805,0.000005760673,0.000024880708,0.00004619127,0.000022409782,0.0024211395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997775,0.00004172265,0.0000062970275,0.000030189809,0.000094099516,0.00005010329],"domain_scores_gemma":[0.99971193,0.00011187423,0.000058577923,0.000022435659,0.00008223059,0.0000129271975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002905836,0.00042112064,0.00026458423,0.0003363039,0.00028400653,0.0004643571,0.00043472063,0.0008248098,0.0009701623],"category_scores_gemma":[0.00057891745,0.00021909396,0.0005076891,0.00030526568,0.00044078208,0.00040725135,0.0003864165,0.00053223106,0.0002558532],"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":[0.000045805555,0.000015925978,0.0018160325,0.0000291122,0.0000125949655,0.0001458542,0.00012510049,0.98515946,0.0062763845,0.0020286546,0.00015941015,0.004185721],"study_design_scores_gemma":[8.6260997e-7,0.000012503429,0.00022508074,0.0000018866072,0.000002223679,0.000011332184,0.000017879465,0.9989729,0.0005315392,0.00012822782,0.000092382645,0.0000032039916],"about_ca_topic_score_codex":0.009046381,"about_ca_topic_score_gemma":0.003605944,"teacher_disagreement_score":0.009046381,"about_ca_system_score_codex":0.0006399879,"about_ca_system_score_gemma":0.0004901605,"threshold_uncertainty_score":0.01798743},"labels":[],"label_agreement":null},{"id":"W4387475936","doi":"10.1109/tvt.2023.3323515","title":"Towards Synchronized Privacy-Preserving Authentication for MDTEN-Driven VANETs","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Authentication (law); Computer network; Computer security; Vehicular ad hoc network; Digital signature; Wireless ad hoc network; Hash function; Wireless; Operating system","score_opus":0.01324084342212961,"score_gpt":0.24040352558695485,"score_spread":0.22716268216482524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387475936","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":[0.023847237,0.00011973974,0.97326386,0.00019302571,0.000060723985,0.00010346731,0.00006009098,0.00035984238,0.001991967],"genre_scores_gemma":[0.8969442,0.000194222,0.099841155,0.00014798391,0.000044435328,0.00012956113,0.00018955195,0.000046986712,0.0024617682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969471,0.000916795,0.00028882353,0.0005175016,0.00090656045,0.00042321175],"domain_scores_gemma":[0.9971886,0.00074861065,0.0003502379,0.0009645492,0.0005652976,0.00018278537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024209116,0.00055009045,0.0007159147,0.00084252754,0.0010725729,0.0016868053,0.0014833701,0.0010150234,0.0015507244],"category_scores_gemma":[0.005416858,0.00033445455,0.00067330827,0.00089059153,0.0014267851,0.0036438967,0.004675059,0.0015199532,0.00049321697],"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":[0.0009915312,0.000110911664,0.002544168,0.0002036243,0.00009739241,0.0006765807,0.000790857,0.35039777,0.030867273,0.49903882,0.00239977,0.11188133],"study_design_scores_gemma":[0.000054220593,0.00013830287,0.00011662607,0.000017638797,0.000022019265,0.00018624232,0.00009505562,0.9150544,0.013925394,0.06397615,0.0063819885,0.000031987405],"about_ca_topic_score_codex":0.0013922508,"about_ca_topic_score_gemma":0.0010102537,"teacher_disagreement_score":0.0024209116,"about_ca_system_score_codex":0.0009204464,"about_ca_system_score_gemma":0.0025119833,"threshold_uncertainty_score":0.012803197},"labels":[],"label_agreement":null},{"id":"W4387491074","doi":"10.1109/tvt.2023.3323313","title":"SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection Network","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"Higher Education Commission, Pakistan","keywords":"Drone; Scalability; Feature (linguistics); Computer science; FLOPS; Artificial intelligence; Feature engineering; Feature extraction; Deep learning; Machine learning; Real-time computing; Data mining; Database","score_opus":0.007779800556877475,"score_gpt":0.23233624061225827,"score_spread":0.2245564400553808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387491074","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09553491,0.001966685,0.87036246,0.0008914805,0.00042444555,0.00023915262,0.0019515653,0.019310592,0.009318797],"genre_scores_gemma":[0.6625197,0.0006494429,0.32128748,0.0005768569,0.00012850383,0.00021250421,0.004490581,0.00028990992,0.009845146],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997292,0.000034273387,0.000013567409,0.00009333636,0.00007724298,0.000052305153],"domain_scores_gemma":[0.9997056,0.00007770685,0.000030003377,0.00006771354,0.00008803744,0.000030841366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054881285,0.00095861737,0.00056588027,0.0012131106,0.00045861487,0.00059011055,0.0016584006,0.0009728288,0.0031606138],"category_scores_gemma":[0.0015648745,0.0003692086,0.00036954173,0.00058743183,0.00042972734,0.002203435,0.0012875998,0.00081428984,0.0008011693],"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":[0.000660785,0.00021199504,0.0025506443,0.00018351858,0.00009535584,0.0002833944,0.00017343421,0.19427662,0.020873627,0.014705375,0.04016569,0.72581947],"study_design_scores_gemma":[0.000022924738,0.00010837233,0.00067280675,0.000016753731,0.000013521096,0.00008871796,0.000021871436,0.97748226,0.007291153,0.005681395,0.008579562,0.000020671787],"about_ca_topic_score_codex":0.013091993,"about_ca_topic_score_gemma":0.021721618,"teacher_disagreement_score":0.013091993,"about_ca_system_score_codex":0.0010111853,"about_ca_system_score_gemma":0.00077756896,"threshold_uncertainty_score":0.026031554},"labels":[],"label_agreement":null},{"id":"W4387491138","doi":"10.1109/tvt.2023.3323563","title":"Integrated Sensing and Communication in mmWave Wireless Backhaul Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","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":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Wireless; Scheduling (production processes); Backhaul (telecommunications); Bandwidth (computing); Throughput; Wireless network; Computer network; Communications system; Real-time computing; Distributed computing; Electronic engineering; Engineering; Telecommunications","score_opus":0.013424472747629004,"score_gpt":0.21365644729290767,"score_spread":0.20023197454527866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387491138","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026427055,0.0013138143,0.9674522,0.00022634926,0.000056035362,0.000037934336,0.000040517065,0.0002020474,0.0042441115],"genre_scores_gemma":[0.82930267,0.0013588517,0.16570257,0.00018095435,0.00008526672,0.00010870298,0.00007175749,0.000027692928,0.0031615933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995467,0.00015606584,0.000013993714,0.000067986046,0.00012935759,0.0000858989],"domain_scores_gemma":[0.999673,0.00016859436,0.000051443538,0.000041713512,0.000048134647,0.000017076665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004347343,0.0005066567,0.00044445702,0.00024223606,0.00034589926,0.00077378633,0.0005391607,0.0005349378,0.0010523199],"category_scores_gemma":[0.00070441165,0.00019942313,0.0002017611,0.00063537474,0.000405276,0.0008233042,0.00062787527,0.00050595665,0.00021168869],"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":[0.000211998,0.000105487365,0.00077069306,0.00021552159,0.00003531178,0.0001864734,0.00010139582,0.76393646,0.03200481,0.043627888,0.0021962351,0.15660769],"study_design_scores_gemma":[0.0000052277796,0.00008269956,0.00020532934,0.0000070138867,0.0000067956807,0.000050075505,0.000025381896,0.98750174,0.00422808,0.006387292,0.0014938477,0.000006580051],"about_ca_topic_score_codex":0.001428817,"about_ca_topic_score_gemma":0.0020562832,"teacher_disagreement_score":0.001428817,"about_ca_system_score_codex":0.0005572349,"about_ca_system_score_gemma":0.0005761549,"threshold_uncertainty_score":0.004042983},"labels":[],"label_agreement":null},{"id":"W4387709843","doi":"10.1109/tvt.2023.3320370","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Telecommunications; Engineering; Electrical engineering","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387709843","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.9070571,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4387789945","doi":"10.1109/tvt.2023.3325674","title":"Collaborative Computing Optimization in Train-Edge-Cloud-Based Smart Train Systems Using Risk-Sensitive Reinforcement Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Computer science; Reinforcement learning; Distributed computing; Cloud computing; Edge computing; Train; Server; Utility computing; Computer network; Artificial intelligence","score_opus":0.01308981571129649,"score_gpt":0.24277496381712735,"score_spread":0.22968514810583085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387789945","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":[0.06842778,0.00034804,0.9248399,0.00043407053,0.000058765087,0.00005220319,0.00003849214,0.00018475894,0.005616056],"genre_scores_gemma":[0.98146987,0.00009990051,0.016567808,0.000073102645,0.000012231577,0.00004476643,0.000019639316,0.000017364293,0.0016951622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994134,0.00015126105,0.000024063034,0.00014815103,0.00012729965,0.00013588129],"domain_scores_gemma":[0.99909794,0.00048153644,0.00013025907,0.00005602827,0.00015581527,0.000078433244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085694314,0.000647584,0.0010533776,0.00022467048,0.0005316447,0.0010438662,0.0010198948,0.0008051317,0.0015539135],"category_scores_gemma":[0.0019582224,0.00033916775,0.0005435494,0.0003534679,0.0009296935,0.00089729065,0.0011061413,0.0009816417,0.000151214],"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":[0.000031195992,0.00002214599,0.00025424387,0.000013940021,0.000015510826,0.000043455537,0.000021588256,0.9888432,0.00052720116,0.006159657,0.00024637464,0.0038215027],"study_design_scores_gemma":[0.0000029303815,0.000005509461,0.000023939976,6.991814e-7,0.0000016953779,0.0000024769133,0.000002245636,0.998911,0.00006457547,0.0009380933,0.000045495908,0.0000012794405],"about_ca_topic_score_codex":0.009678092,"about_ca_topic_score_gemma":0.0050575314,"teacher_disagreement_score":0.009678092,"about_ca_system_score_codex":0.0013659624,"about_ca_system_score_gemma":0.0014495427,"threshold_uncertainty_score":0.019243538},"labels":[],"label_agreement":null},{"id":"W4387885634","doi":"10.1109/tvt.2023.3310516","title":"Age-of-Information Minimization for UAV-Based Multi-View Sensing and Communication","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","field":"Computer Science","cited_by":19,"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 Waterloo; Toronto Metropolitan University","funders":"Shenzhen Research Institute of Big Data; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Benchmark (surveying); Wireless; Real-time computing; Wireless sensor network; Sequence (biology); Minification; Convex optimization; Software deployment; Trajectory; Ground truth; Transmitter power output; Regular polygon; Channel (broadcasting); Artificial intelligence; Computer network; Mathematics; Telecommunications","score_opus":0.017374533956574383,"score_gpt":0.25163158243510747,"score_spread":0.2342570484785331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387885634","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":[0.012045264,0.00038923958,0.98594344,0.00018621338,0.000026344662,0.000027195712,0.00009368631,0.00008380209,0.0012048648],"genre_scores_gemma":[0.67258686,0.00097144756,0.31989706,0.0002501593,0.00013459196,0.00026799756,0.0005114299,0.00017987376,0.0052005807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936706,0.00019420458,0.00002475159,0.00016637865,0.00016504359,0.00008260639],"domain_scores_gemma":[0.9988269,0.0007491808,0.00015073018,0.00006626416,0.00014390184,0.000062924715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010715884,0.0013456034,0.001061532,0.00053893146,0.00028928273,0.00076394243,0.0011519503,0.0012137648,0.001268266],"category_scores_gemma":[0.002561168,0.0005261151,0.0007330561,0.0008210169,0.00068846333,0.0011809827,0.0010125615,0.0011364234,0.00030573693],"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":[0.00005516443,0.00003690161,0.00041875575,0.00008641427,0.00004246486,0.00005784012,0.000040514573,0.9721696,0.001710244,0.0057898983,0.0010397525,0.01855256],"study_design_scores_gemma":[0.0000029273594,0.00002131627,0.00010606806,0.000003917864,0.0000042176134,0.000012374451,0.000007654925,0.99736434,0.00033151126,0.0019194222,0.00022280651,0.0000034234388],"about_ca_topic_score_codex":0.0045758574,"about_ca_topic_score_gemma":0.0029136615,"teacher_disagreement_score":0.0045758574,"about_ca_system_score_codex":0.0010213645,"about_ca_system_score_gemma":0.0012173755,"threshold_uncertainty_score":0.009098411},"labels":[],"label_agreement":null},{"id":"W4387886017","doi":"10.1109/tvt.2023.3326989","title":"Traffic Information-Based Hierarchical Control Strategies for Eco-Driving of Plug-In Hybrid Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","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":"Ontario Tech University","funders":"National Key Research and Development Program of China","keywords":"Control (management); Automotive engineering; Plug-in; Engineering; Computer science; Control engineering; Artificial intelligence","score_opus":0.005959660898537833,"score_gpt":0.20895922665941785,"score_spread":0.20299956576088002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387886017","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":[0.0645206,0.00028566664,0.92663807,0.00013435191,0.00006293381,0.000081002276,0.0000589172,0.00047619172,0.007742357],"genre_scores_gemma":[0.9859658,0.00005904822,0.013017124,0.000025762969,0.0000140060665,0.000040378833,0.000042676536,0.000011305526,0.00082396064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997509,0.000030127516,0.000014047656,0.00006402262,0.00007030932,0.00007051346],"domain_scores_gemma":[0.99971014,0.000059790327,0.00006697822,0.000021490367,0.000114984185,0.000026612128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037302868,0.0008756713,0.00046203553,0.00055982167,0.00054951216,0.0006904888,0.0010042225,0.0003556457,0.001246312],"category_scores_gemma":[0.0005786388,0.00027619346,0.00038306293,0.00037171043,0.00036845508,0.0005823586,0.0008189065,0.0005942975,0.0001911251],"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":[0.00009168405,0.00014506269,0.0006136418,0.000073166506,0.000031016123,0.00008408837,0.0001164958,0.91847813,0.009747137,0.009039835,0.00096464256,0.060615],"study_design_scores_gemma":[0.000005200354,0.000046085745,0.00021199141,0.0000030366134,0.0000070585197,0.000006660641,0.000013018062,0.99739754,0.0007695872,0.0012282297,0.00030613173,0.000005396915],"about_ca_topic_score_codex":0.009446198,"about_ca_topic_score_gemma":0.012998688,"teacher_disagreement_score":0.009446198,"about_ca_system_score_codex":0.0007543295,"about_ca_system_score_gemma":0.00093318755,"threshold_uncertainty_score":0.018782437},"labels":[],"label_agreement":null},{"id":"W4388469643","doi":"10.1109/tvt.2023.3330770","title":"Achieving Privacy-Preserving Location Management in LEO-Satellite Integrated Vehicular Network With Dense Ground Stations","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Overhead (engineering); Satellite; Engineering","score_opus":0.017342775479574926,"score_gpt":0.23723119798856707,"score_spread":0.21988842250899215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388469643","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":[0.15120038,0.00040330758,0.84590787,0.00029013676,0.000035952755,0.000093854986,0.00008111541,0.00030599182,0.0016813942],"genre_scores_gemma":[0.9783905,0.00012061625,0.020641023,0.000045932433,0.000014011793,0.000026696174,0.000060123595,0.0000060818124,0.0006950439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984296,0.00041378065,0.0001167054,0.00028747102,0.00043784795,0.00031450746],"domain_scores_gemma":[0.9978732,0.00061426684,0.0003598808,0.00079517363,0.00025378703,0.00010375337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011026196,0.0004537626,0.00062764646,0.00048337565,0.0009096053,0.001047924,0.0013386123,0.00075206853,0.0004432341],"category_scores_gemma":[0.0033762965,0.00023255176,0.00035277577,0.0009486683,0.0008226148,0.0022686007,0.0027798475,0.0006387021,0.0001687348],"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":[0.0010248693,0.0001648754,0.0052749887,0.00022259865,0.00013720643,0.0009422055,0.00080816844,0.68849176,0.05282524,0.060732126,0.0026168255,0.18675914],"study_design_scores_gemma":[0.000046572928,0.00022738054,0.0006621908,0.000012324062,0.000036642734,0.00039799634,0.00023089982,0.96175945,0.016924018,0.01747728,0.0021948048,0.000030495887],"about_ca_topic_score_codex":0.0020973545,"about_ca_topic_score_gemma":0.0021039906,"teacher_disagreement_score":0.0020973545,"about_ca_system_score_codex":0.0009414972,"about_ca_system_score_gemma":0.0011790275,"threshold_uncertainty_score":0.0068311095},"labels":[],"label_agreement":null},{"id":"W4389104654","doi":"10.1109/tvt.2023.3337250","title":"Resource Scheduling for eMBB and URLLC Multiplexing in NOMA-Based VANETs: A Dual Time-Scale Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Resource allocation; Distributed computing; Mobile broadband; Reliability (semiconductor); Noma; Computer network; Multiplexing; Mathematical optimization; Telecommunications link; Power (physics); Wireless; Telecommunications; Mathematics","score_opus":0.013174917304886945,"score_gpt":0.2291639978910966,"score_spread":0.21598908058620964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389104654","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":[0.027209977,0.0008566205,0.9666695,0.00034211494,0.00014464985,0.00008186711,0.00007510829,0.00014683054,0.004473356],"genre_scores_gemma":[0.88570017,0.00059152686,0.10960183,0.00017556756,0.0001374549,0.00014767391,0.00010727073,0.00007274211,0.0034657994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922776,0.00029105385,0.00002439431,0.00012370154,0.00012165824,0.00021146145],"domain_scores_gemma":[0.9990651,0.00048918463,0.00011642385,0.000047846228,0.00014505246,0.00013635441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012453604,0.0009670062,0.0013445088,0.0006780713,0.00073014945,0.0014707666,0.0016135451,0.00079622027,0.002436407],"category_scores_gemma":[0.001986093,0.00052283047,0.0006519374,0.0009038416,0.0006692934,0.0012587281,0.0012573417,0.000890631,0.0003142782],"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":[0.00009619258,0.000064912485,0.0003869911,0.00007419879,0.00004112903,0.0000882159,0.000049432565,0.95922184,0.0019008607,0.014498997,0.0015796946,0.021997558],"study_design_scores_gemma":[0.0000041489416,0.000013998354,0.000036755184,0.0000019106212,0.0000035860244,0.000009911316,0.000016062819,0.9979109,0.0000981885,0.0016775244,0.00022412237,0.0000028739207],"about_ca_topic_score_codex":0.0057800054,"about_ca_topic_score_gemma":0.005948156,"teacher_disagreement_score":0.0057800054,"about_ca_system_score_codex":0.0013032698,"about_ca_system_score_gemma":0.0016981384,"threshold_uncertainty_score":0.011492729},"labels":[],"label_agreement":null},{"id":"W4389104679","doi":"10.1109/tvt.2023.3337106","title":"Cooperative Trajectory Planning and Resource Allocation for UAV-Enabled Integrated Sensing and Communication Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council; Chongqing Municipal Education Commission; Natural Sciences and Engineering Research Council of Canada; Chongqing Science and Technology Commission; National Natural Science Foundation of China","keywords":"Computer science; Resource allocation; Quality of service; Flexibility (engineering); Trajectory; Resource management (computing); Convergence (economics); Telecommunications link; Transmission (telecommunications); Real-time computing; Distributed computing; Computer network; Telecommunications","score_opus":0.011467027736289506,"score_gpt":0.22278920955672002,"score_spread":0.2113221818204305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389104679","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":[0.017487692,0.00035803294,0.98001784,0.000108215,0.00002005965,0.000027706854,0.00003279556,0.00015348449,0.0017941068],"genre_scores_gemma":[0.8814866,0.00036201134,0.115896516,0.000051346084,0.000025507907,0.00011701889,0.000102264254,0.000024166184,0.0019345222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996489,0.000108337335,0.000013754212,0.000076779164,0.0000795137,0.00007280295],"domain_scores_gemma":[0.9997162,0.000119193755,0.000059566788,0.00003062863,0.000049842827,0.000024537769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045041408,0.00059982104,0.00055114005,0.00037335814,0.00044704965,0.0006161283,0.0007193767,0.000574307,0.00091138243],"category_scores_gemma":[0.0010084133,0.00032542096,0.0003341002,0.00074791425,0.00047829386,0.0005563784,0.0009058555,0.0005762447,0.00019886393],"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":[0.00004745298,0.000023023966,0.00032298753,0.000042463456,0.00001850077,0.00007244333,0.00006332856,0.95920956,0.0023683878,0.0053731855,0.0005887228,0.03186993],"study_design_scores_gemma":[0.0000035441437,0.00001459642,0.00007123004,0.0000022810768,0.0000030185224,0.000010525496,0.000014317568,0.99800974,0.00031925464,0.0012760398,0.00027301878,0.0000024598876],"about_ca_topic_score_codex":0.00907523,"about_ca_topic_score_gemma":0.0074069463,"teacher_disagreement_score":0.00907523,"about_ca_system_score_codex":0.0007026721,"about_ca_system_score_gemma":0.0015133757,"threshold_uncertainty_score":0.01804483},"labels":[],"label_agreement":null},{"id":"W4389428647","doi":"10.1109/tvt.2023.3340177","title":"RL-Based Cargo-UAV Trajectory Planning and Cell Association for Minimum Handoffs, Disconnectivity, and Energy Consumption","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; École de Technologie Supérieure; University of Ottawa","funders":"","keywords":"Handover; Energy consumption; Computer science; Trajectory; Base station; Leverage (statistics); Cellular network; Reliability (semiconductor); Computer network; Real-time computing; Engineering","score_opus":0.0093995341353083,"score_gpt":0.21272568355763513,"score_spread":0.20332614942232682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389428647","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":[0.05578807,0.0003941645,0.9395538,0.0002772939,0.000045661804,0.00006292507,0.00007359058,0.000548998,0.0032555624],"genre_scores_gemma":[0.9435856,0.00013317325,0.053781927,0.00007977189,0.000018719846,0.00008882629,0.00012691323,0.00005261529,0.002132487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997136,0.00006564708,0.000015015613,0.00007174522,0.000053243908,0.00008074274],"domain_scores_gemma":[0.999361,0.00033174182,0.00010096589,0.000042619507,0.00009208738,0.00007154517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052395795,0.000994893,0.00095956365,0.0003232244,0.0004776833,0.00066780974,0.0009506136,0.000801935,0.0020948937],"category_scores_gemma":[0.0014768955,0.0003807213,0.00048382368,0.00034734132,0.0005597074,0.0005804874,0.00097283727,0.0010274501,0.00028553998],"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":[0.00004761091,0.000018730085,0.00045348427,0.000022285754,0.000009877876,0.00005121983,0.00002661404,0.9871122,0.0008193043,0.0010906159,0.00037060803,0.009977282],"study_design_scores_gemma":[0.0000046222317,0.000014314195,0.000053556352,0.0000021756616,0.0000029277624,0.000007546058,0.000007381693,0.9992601,0.00020478352,0.00035035383,0.00009034804,0.0000016988664],"about_ca_topic_score_codex":0.013158928,"about_ca_topic_score_gemma":0.010849595,"teacher_disagreement_score":0.013158928,"about_ca_system_score_codex":0.0009082482,"about_ca_system_score_gemma":0.0015890441,"threshold_uncertainty_score":0.02616465},"labels":[],"label_agreement":null},{"id":"W4389692344","doi":"10.1109/tvt.2023.3342173","title":"Mobile Power Allocation Intelligent Optimization Algorithm for Cooperative NOMA Network Based on CBAM-BiLSTM","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Guangxi University of Science and Technology","keywords":"Noma; Computer science; Spectral efficiency; Wireless; Network performance; Algorithm; Computer network; Channel (broadcasting); Telecommunications; Telecommunications link","score_opus":0.010855762807268922,"score_gpt":0.24454451250467962,"score_spread":0.2336887496974107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389692344","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":[0.036597982,0.00031339473,0.9588687,0.00022794539,0.000043457323,0.00003323775,0.000038744747,0.00036038194,0.003516227],"genre_scores_gemma":[0.8776752,0.00016861994,0.11717549,0.00018593461,0.000032475185,0.00014344556,0.00011344513,0.00005261118,0.0044526663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981695,0.000038444603,0.000008613548,0.000047366473,0.000041970176,0.000046740275],"domain_scores_gemma":[0.99977404,0.00010436035,0.000026863676,0.000012579745,0.000067136556,0.000015153058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044029433,0.00072236574,0.0007177842,0.00033913105,0.00046885223,0.00063070044,0.0010688092,0.000672331,0.0019342114],"category_scores_gemma":[0.00091884116,0.0003172041,0.00037171983,0.00044673844,0.0004466618,0.00076899974,0.0008455697,0.00073639036,0.00026317834],"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":[0.000069487134,0.00003949995,0.00072990125,0.000042268286,0.00002769126,0.000066138804,0.00006294389,0.9278442,0.00263553,0.0058931224,0.0014039112,0.061185278],"study_design_scores_gemma":[0.0000028424715,0.000009589464,0.000029327812,0.0000010230652,0.0000022774846,0.000006492158,0.0000029687626,0.9990433,0.00016023233,0.0006508683,0.0000897491,0.0000013177927],"about_ca_topic_score_codex":0.007245409,"about_ca_topic_score_gemma":0.008509371,"teacher_disagreement_score":0.007245409,"about_ca_system_score_codex":0.00085235713,"about_ca_system_score_gemma":0.00096635375,"threshold_uncertainty_score":0.014406502},"labels":[],"label_agreement":null},{"id":"W4389880111","doi":"10.1109/tvt.2023.3326767","title":"IEEE Vehicular Technology Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Telecommunications; Engineering","score_opus":0.012013527563381837,"score_gpt":0.24575552991984795,"score_spread":0.2337420023564661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389880111","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005857819,0.0228071,0.13491082,0.008253133,0.018103302,0.00046508358,0.007169037,0.00881172,0.79362196],"genre_scores_gemma":[0.036550615,0.017590709,0.017971946,0.0010618352,0.0017476467,0.0002788093,0.018244369,0.0007708773,0.90578324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00012192453,0.00005390807,0.000089987196,0.00042043527,0.00007479321],"domain_scores_gemma":[0.99807173,0.00019644471,0.00006863251,0.00041490252,0.0011393687,0.000108986074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871253,0.0015625226,0.0012358109,0.003806817,0.0012466107,0.003999389,0.0011192983,0.0022416445,0.092942886],"category_scores_gemma":[0.0021969406,0.0006286423,0.00044829017,0.003621307,0.00046653865,0.002372615,0.0015210573,0.0019988804,0.11572034],"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":[0.00007922066,0.00007599217,0.0005316862,0.00020153547,0.000024727153,0.00011877967,0.000057148838,0.0019472686,0.0020742556,0.012519895,0.53399915,0.44837034],"study_design_scores_gemma":[0.000012725578,0.000049708702,0.00069086434,0.00014006917,0.00003767172,0.00013939422,0.0000627554,0.004560329,0.0016589443,0.005534964,0.9870892,0.000023356264],"about_ca_topic_score_codex":0.007950881,"about_ca_topic_score_gemma":0.00783949,"teacher_disagreement_score":0.092942886,"about_ca_system_score_codex":0.0011626757,"about_ca_system_score_gemma":0.0023530861,"threshold_uncertainty_score":0.31092495},"labels":[],"label_agreement":null},{"id":"W4389887916","doi":"10.1109/tvt.2023.3341637","title":"RSAM: Byzantine-Robust and Secure Model Aggregation in Federated Learning for Internet of Vehicles Using Private Approximate Median","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","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":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Robustness (evolution); The Internet; Computer network; Block (permutation group theory); Data aggregator; Computer security; Distributed computing; Theoretical computer science; Artificial intelligence; Wireless sensor network; World Wide Web; Mathematics","score_opus":0.03744077000311388,"score_gpt":0.2706514134127375,"score_spread":0.23321064340962364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389887916","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":[0.016726106,0.00011120226,0.9800576,0.0001659314,0.00004124384,0.000053624874,0.00006252515,0.0019060795,0.00087567297],"genre_scores_gemma":[0.8157179,0.00010958566,0.18082687,0.00015963713,0.00005047624,0.0001439202,0.00025131577,0.00012942267,0.0026108506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761885,0.00060371764,0.00014741752,0.00051993266,0.00077881006,0.00033112592],"domain_scores_gemma":[0.9981179,0.0003938656,0.00030379085,0.00078603113,0.0002990867,0.000099317454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022977358,0.0009460692,0.0013747095,0.00079045404,0.0010112214,0.0015699548,0.0022418054,0.0013603547,0.0015578987],"category_scores_gemma":[0.005677475,0.0004109823,0.0011407019,0.00085391506,0.0013437452,0.0029110624,0.0037856465,0.0017310253,0.00070561096],"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":[0.00047117946,0.00014631232,0.0013563014,0.00007844001,0.00012025663,0.00023379168,0.00020538773,0.7886533,0.008529465,0.05025818,0.0035161348,0.14643128],"study_design_scores_gemma":[0.000015809403,0.000060025443,0.00007515635,0.0000040863647,0.0000062069776,0.000039537175,0.000018755483,0.9826948,0.002981925,0.013089238,0.0010041262,0.000010280451],"about_ca_topic_score_codex":0.0034370502,"about_ca_topic_score_gemma":0.002393898,"teacher_disagreement_score":0.0034370502,"about_ca_system_score_codex":0.0014097409,"about_ca_system_score_gemma":0.002235799,"threshold_uncertainty_score":0.012151718},"labels":[],"label_agreement":null},{"id":"W4389921776","doi":"10.1109/tvt.2023.3343704","title":"Optimal Energy Management Strategy Based on Driving Pattern Recognition for a Dual-Motor Dual-Source Electric Vehicle","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Dual (grammatical number); Automotive engineering; Electric vehicle; Energy management; Electric motor; Traction motor; Computer science; Energy (signal processing); Engineering; Electrical engineering; Power (physics); Physics","score_opus":0.010657991473662646,"score_gpt":0.2100495739719733,"score_spread":0.19939158249831065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389921776","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":[0.09388315,0.00033013782,0.8961715,0.0002807345,0.000054630505,0.00011773784,0.000049056987,0.000434037,0.008679027],"genre_scores_gemma":[0.9612419,0.00013119659,0.03569812,0.00004872395,0.000018482471,0.00011089546,0.00005114199,0.000022251103,0.0026774062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998122,0.000025560801,0.000013585873,0.000062938154,0.000051814633,0.00003385623],"domain_scores_gemma":[0.9998598,0.000030308616,0.00003768757,0.000009270876,0.000049845185,0.000013123185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026877123,0.0006999209,0.0006361639,0.0006063822,0.00042381993,0.00088958786,0.0007528551,0.0005486264,0.0012373751],"category_scores_gemma":[0.0004722112,0.0003312322,0.00035921557,0.00034208677,0.0002650915,0.0004954238,0.00050422753,0.00034615837,0.00023017639],"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":[0.00020413115,0.00016196514,0.0013950017,0.0001474227,0.000071090246,0.00023676443,0.00012626254,0.8155546,0.021934222,0.0074442327,0.0013579495,0.15136638],"study_design_scores_gemma":[0.000013703977,0.000058824877,0.00031834625,0.000004253768,0.0000122827605,0.000020199945,0.000014033896,0.9965205,0.0012486014,0.0012633579,0.00051881047,0.0000069767216],"about_ca_topic_score_codex":0.0036413595,"about_ca_topic_score_gemma":0.0031705736,"teacher_disagreement_score":0.0036413595,"about_ca_system_score_codex":0.000522754,"about_ca_system_score_gemma":0.0005756889,"threshold_uncertainty_score":0.007240355},"labels":[],"label_agreement":null},{"id":"W4389943505","doi":"10.1109/tvt.2023.3344454","title":"Rate Outage and Meta-Distribution for Uplink Networks in Finite Block-Length Regime","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"Queen's University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Telecommunications link; Block (permutation group theory); Computer science; Distribution (mathematics); Electronic engineering; Mathematics; Mathematical optimization; Engineering; Computer network; Combinatorics; Mathematical analysis","score_opus":0.014095479114556808,"score_gpt":0.22913579497469527,"score_spread":0.21504031586013847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389943505","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":[0.18763405,0.0025084747,0.79259825,0.000802441,0.000049425566,0.00004745904,0.00039645517,0.0004331258,0.015530311],"genre_scores_gemma":[0.98138994,0.0012154363,0.015357318,0.00009627265,0.00007713006,0.00007199048,0.00012477643,0.000073007934,0.0015942758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919933,0.0003233989,0.00002655339,0.00008605128,0.0002434443,0.00012116107],"domain_scores_gemma":[0.99288565,0.0048730266,0.0009092874,0.0004988294,0.0006359298,0.00019733196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020851754,0.00073516916,0.0007390713,0.0009938087,0.00040274698,0.0011573485,0.0008955132,0.0007788219,0.0016904386],"category_scores_gemma":[0.010430744,0.0004105518,0.00035218822,0.0007704704,0.0018567444,0.002203806,0.0012520713,0.0010676123,0.00038030162],"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":[0.00014549438,0.000042168,0.0016737513,0.00015521051,0.00003998414,0.00035385496,0.00020151483,0.7399178,0.0092476355,0.24073981,0.0012701234,0.006212688],"study_design_scores_gemma":[0.0000044098974,0.00003410444,0.0005726671,0.000026267524,0.000006408334,0.00013890948,0.00004516549,0.96966153,0.0012834282,0.027879128,0.00033323097,0.000014806955],"about_ca_topic_score_codex":0.0009974755,"about_ca_topic_score_gemma":0.0007889986,"teacher_disagreement_score":0.0020851754,"about_ca_system_score_codex":0.001564741,"about_ca_system_score_gemma":0.00044158916,"threshold_uncertainty_score":0.011353016},"labels":[],"label_agreement":null},{"id":"W4390224434","doi":"10.1109/tvt.2023.3347219","title":"UAV Coverage Path Planning With Quantum-Based Recurrent Deep Deterministic Policy Gradient","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Reinforcement learning; Quantum; Trajectory; Action (physics); Computer science; Mathematical optimization; Path (computing); Scheme (mathematics); Resource allocation; Mathematics; Physics; Artificial intelligence; Quantum mechanics; Computer network","score_opus":0.011931527235077073,"score_gpt":0.2604020974044499,"score_spread":0.24847057016937285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390224434","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":[0.039322715,0.00032695226,0.9554519,0.00031817608,0.000057100744,0.000037254555,0.000048408674,0.0005313994,0.0039060127],"genre_scores_gemma":[0.93687433,0.00011583359,0.06065642,0.00013393865,0.000020634656,0.000056402085,0.00006714875,0.00004382606,0.0020313815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999762,0.0000635703,0.000011831091,0.000050256174,0.00006315909,0.000049202183],"domain_scores_gemma":[0.9994031,0.00033914964,0.000059641,0.00005270563,0.00009769912,0.000047665548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006525624,0.0005648513,0.0008936045,0.00026531957,0.0003440224,0.00060882804,0.0011094983,0.00077291706,0.00141047],"category_scores_gemma":[0.0017003679,0.0004362516,0.0003845563,0.00029907323,0.0006714666,0.0009209811,0.0008070916,0.00093520933,0.0001926238],"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":[0.000044301403,0.000022891109,0.000249297,0.000022781454,0.000014887192,0.00002917357,0.000024991034,0.9749477,0.00063114235,0.0071267965,0.000466368,0.01641977],"study_design_scores_gemma":[0.000002692779,0.0000065709646,0.000012682958,7.655757e-7,0.0000010977121,0.000001688159,9.3653165e-7,0.9990107,0.00008052785,0.00082221866,0.000059126505,9.9424e-7],"about_ca_topic_score_codex":0.01032789,"about_ca_topic_score_gemma":0.008549871,"teacher_disagreement_score":0.01032789,"about_ca_system_score_codex":0.0011178827,"about_ca_system_score_gemma":0.0013310733,"threshold_uncertainty_score":0.020535529},"labels":[],"label_agreement":null},{"id":"W4390357311","doi":"10.1109/tvt.2023.3347926","title":"Channel Estimation for Backscatter Communication Systems Under Circuit Sensitivity Constraint","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","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":"University of Alberta; Carleton University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Maximum a posteriori estimation; Estimator; Sensitivity (control systems); Channel (broadcasting); Backscatter (email); Algorithm; Constraint (computer-aided design); Minimum mean square error; Computer science; Signal-to-noise ratio (imaging); Mean squared error; Electronic engineering; Mathematics; Maximum likelihood; Statistics; Engineering; Telecommunications; Wireless","score_opus":0.019884842026243476,"score_gpt":0.2294013438849304,"score_spread":0.20951650185868692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390357311","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":[0.011678788,0.0004984582,0.98654515,0.00013621346,0.000018935069,0.000015079431,0.000034834928,0.00013094925,0.0009416443],"genre_scores_gemma":[0.8110768,0.0019850715,0.18324181,0.0002561516,0.00011397551,0.00012978223,0.00024212383,0.00006750797,0.0028868122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991167,0.00029369307,0.000036547608,0.00015566983,0.00030256543,0.000094790055],"domain_scores_gemma":[0.99688125,0.0022110224,0.00025088896,0.00017505705,0.00043828125,0.000043612392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010433502,0.00075445743,0.0008382965,0.0004590083,0.0003792873,0.00095236005,0.0005240434,0.00081937946,0.0011256883],"category_scores_gemma":[0.006633291,0.00040541778,0.0004235836,0.0006124962,0.0008534217,0.0014742202,0.00094019016,0.0011038849,0.00034497108],"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":[0.00022575601,0.000055496635,0.0026668722,0.000414259,0.0001164772,0.00018948587,0.00021779738,0.81831527,0.024024911,0.036227457,0.0017012808,0.11584494],"study_design_scores_gemma":[0.000010745532,0.000038043287,0.0004893695,0.000020792748,0.00001954099,0.00010712825,0.000023273898,0.9880222,0.005076704,0.005507718,0.0006647359,0.000019671335],"about_ca_topic_score_codex":0.0028908753,"about_ca_topic_score_gemma":0.0026695225,"teacher_disagreement_score":0.0028908753,"about_ca_system_score_codex":0.00060331705,"about_ca_system_score_gemma":0.001282959,"threshold_uncertainty_score":0.005748093},"labels":[],"label_agreement":null},{"id":"W4390590880","doi":"10.1109/tvt.2023.3348272","title":"UAV-Relayed Finite-Blocklength Covert Communication With Channel Estimation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Covert; Transmission (telecommunications); Transmitter; Channel (broadcasting); Relay; Transmitter power output; Computer science; Power (physics); Real-time computing; Algorithm; Computer network; Telecommunications; Physics","score_opus":0.007303910244404928,"score_gpt":0.2208678879026273,"score_spread":0.21356397765822235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390590880","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":[0.10290471,0.00079739385,0.89225274,0.00015262348,0.00004605779,0.000046601457,0.00007705883,0.0002530397,0.0034697247],"genre_scores_gemma":[0.95033425,0.00032694772,0.04822112,0.00002948524,0.000018490904,0.000037335274,0.000053320655,0.000009277262,0.00096970034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995797,0.00010855145,0.000017982591,0.00009603992,0.00012572067,0.00007194005],"domain_scores_gemma":[0.9990195,0.0004891492,0.00019891019,0.00012817756,0.00012953175,0.00003466312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032668578,0.000593166,0.00048816556,0.0003288933,0.0003095743,0.00039497003,0.0006639884,0.00047218375,0.00076932076],"category_scores_gemma":[0.0017576087,0.00017029812,0.0002949481,0.00047521287,0.0004919692,0.001001458,0.00070229016,0.00038026535,0.00019838045],"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":[0.00055730116,0.0000695493,0.0016486562,0.0003088073,0.00008061599,0.0007898827,0.00029800512,0.76549715,0.07121004,0.02563734,0.001451728,0.1324509],"study_design_scores_gemma":[0.0000148033205,0.0001900513,0.00033882083,0.0000118124835,0.000016415624,0.0002412024,0.000024476105,0.9841322,0.011269961,0.002891521,0.000852592,0.000016161186],"about_ca_topic_score_codex":0.001375927,"about_ca_topic_score_gemma":0.001685643,"teacher_disagreement_score":0.001375927,"about_ca_system_score_codex":0.00046052094,"about_ca_system_score_gemma":0.0004930278,"threshold_uncertainty_score":0.0033413172},"labels":[],"label_agreement":null},{"id":"W4390691357","doi":"10.1109/tvt.2023.3347140","title":"UxNB-Enabled Cell-Free Massive MIMO With HAPS-Assisted Sub-THz Backhauling","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":29,"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; Backhaul (telecommunications); Beamforming; MIMO; Base station; User equipment; Interference (communication); Electronic engineering; Transmitter power output; Real-time computing; Computer network; Transmitter; Telecommunications; Engineering","score_opus":0.004429588345906312,"score_gpt":0.18160531617472397,"score_spread":0.17717572782881766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390691357","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":[0.15875047,0.0011205381,0.828171,0.00026549277,0.00023730152,0.000069543246,0.00012487298,0.0008154253,0.010445405],"genre_scores_gemma":[0.94833475,0.0002062766,0.048899688,0.00009391167,0.000035642064,0.00004036384,0.000059495032,0.0000085109505,0.002321391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978,0.00005070775,0.0000065040254,0.00003869706,0.00005898763,0.000065082604],"domain_scores_gemma":[0.99981326,0.00004860336,0.000026361984,0.00004495376,0.00004178164,0.000025017003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017903512,0.00049100735,0.00048810855,0.00018920239,0.00042614955,0.0003999271,0.0005706583,0.00026344697,0.0010262002],"category_scores_gemma":[0.00036406197,0.00013117757,0.00019312072,0.00027912683,0.00038917328,0.0004708336,0.0008262305,0.00032054173,0.00035256412],"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":[0.00081899384,0.00019592026,0.004230476,0.00031861072,0.00015815189,0.0010146511,0.0004797747,0.44287786,0.21052103,0.025165118,0.006113742,0.30810574],"study_design_scores_gemma":[0.00003884907,0.000260916,0.00079136173,0.000014343045,0.00003211858,0.0002929361,0.0000885374,0.9729221,0.018775191,0.0026423642,0.00412111,0.000020213169],"about_ca_topic_score_codex":0.0016191084,"about_ca_topic_score_gemma":0.0029894616,"teacher_disagreement_score":0.0016191084,"about_ca_system_score_codex":0.00029097058,"about_ca_system_score_gemma":0.000355233,"threshold_uncertainty_score":0.0034330487},"labels":[],"label_agreement":null},{"id":"W4390691420","doi":"10.1109/tvt.2024.3352068","title":"Optimizing Edge Resources in Intelligent Railway Construction: A Two-Level Game Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Beijing Jiaotong University; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Server; Computer science; Edge computing; Enhanced Data Rates for GSM Evolution; Task (project management); Distributed computing; Engineering; Computer network; Systems engineering; Artificial intelligence","score_opus":0.013578970387933126,"score_gpt":0.22256542110326605,"score_spread":0.20898645071533292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390691420","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":[0.07889906,0.00030876035,0.9038942,0.0007435045,0.000066002394,0.0002120972,0.00008913991,0.00009611355,0.015691146],"genre_scores_gemma":[0.9406821,0.00026972857,0.053420093,0.000175046,0.000029741064,0.00022173137,0.0000402832,0.000025400434,0.005135893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991703,0.00035592294,0.00002948886,0.00012977041,0.00012263974,0.00019176428],"domain_scores_gemma":[0.9987919,0.00079408113,0.00012020103,0.000036227833,0.0001112748,0.00014626686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010465079,0.0011642511,0.0010289502,0.00049357535,0.0006745803,0.0015804545,0.0014660807,0.0016371188,0.0028745842],"category_scores_gemma":[0.0021937222,0.00043583824,0.00074399216,0.00039817474,0.0015061134,0.0017434094,0.0015327234,0.0012725948,0.00020315657],"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":[0.00012485641,0.000120100856,0.0005899937,0.00009346125,0.00005502709,0.00024203357,0.00014961338,0.9359292,0.002794881,0.0511745,0.00084913615,0.007877206],"study_design_scores_gemma":[0.000017449924,0.000049096918,0.00009088294,0.000005477854,0.000010197241,0.000019715679,0.000033704386,0.9904912,0.00017823941,0.008757809,0.00033781363,0.000008295194],"about_ca_topic_score_codex":0.0056988345,"about_ca_topic_score_gemma":0.005014141,"teacher_disagreement_score":0.0056988345,"about_ca_system_score_codex":0.0017328779,"about_ca_system_score_gemma":0.0015024258,"threshold_uncertainty_score":0.012572944},"labels":[],"label_agreement":null},{"id":"W4390753779","doi":"10.1109/tvt.2024.3350790","title":"RIS Empowered Index Modulation-Based Receive Diversity Wireless System With Nakagami-$m$ Fading Channels","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Fading; Nakagami distribution; Demodulation; Modulation (music); Bit error rate; Transmitter; Wireless; Keying; Maximal-ratio combining; Notation; Mathematics; Antenna diversity; Algorithm; Computer science; Telecommunications; Channel (broadcasting); Physics; Arithmetic","score_opus":0.01013203189972374,"score_gpt":0.2132161519344784,"score_spread":0.20308412003475468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390753779","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":[0.42957586,0.00059277803,0.5588727,0.00030311383,0.000060659026,0.00004924964,0.00006306988,0.00043639986,0.010046045],"genre_scores_gemma":[0.98544425,0.0001629505,0.012636747,0.000050824903,0.000021928254,0.000021941558,0.000021611359,0.000007770531,0.0016319528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995733,0.00011394622,0.000017246803,0.00007709545,0.0001509905,0.000067461595],"domain_scores_gemma":[0.9994672,0.00020810189,0.00012946996,0.00006591392,0.00010795351,0.000021301707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033126347,0.00053575344,0.00063162495,0.00025332032,0.0003968191,0.0006694793,0.00056665204,0.0006820139,0.00054901326],"category_scores_gemma":[0.00075228827,0.00018364654,0.00031775923,0.00041459818,0.0005390777,0.00068712916,0.00060126634,0.00041648577,0.00031920816],"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":[0.00084078347,0.00015271903,0.009527307,0.000363255,0.00020943081,0.0022525103,0.0010038079,0.5074555,0.3323145,0.059910152,0.0012299403,0.08474015],"study_design_scores_gemma":[0.000018225868,0.00015461701,0.0010169656,0.000009158723,0.000040670104,0.00039661906,0.000047644717,0.97088885,0.023076586,0.0035626492,0.0007633474,0.000024687175],"about_ca_topic_score_codex":0.000602446,"about_ca_topic_score_gemma":0.0006403731,"teacher_disagreement_score":0.0006820139,"about_ca_system_score_codex":0.00047318495,"about_ca_system_score_gemma":0.00029237964,"threshold_uncertainty_score":0.0034332275},"labels":[],"label_agreement":null},{"id":"W4390783359","doi":"10.1109/tvt.2023.3347744","title":"Intelligent Optimization Algorithm for Green IoV Networks Based on SSA","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Optimization problem; Mathematical optimization; Big data; Particle swarm optimization; Algorithm; Mathematics","score_opus":0.010646788109668182,"score_gpt":0.23706503399890175,"score_spread":0.22641824588923357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390783359","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":[0.016344337,0.00030538996,0.97904795,0.00018122372,0.00003347634,0.000039886254,0.000035625388,0.0001451375,0.0038669743],"genre_scores_gemma":[0.6912076,0.00057540886,0.30010265,0.00028124516,0.000055904788,0.00039377785,0.00022294944,0.00011632505,0.007044224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997757,0.00007248503,0.000011812087,0.000048224505,0.00004996225,0.000041805142],"domain_scores_gemma":[0.9995515,0.00029238692,0.00004095825,0.000016574753,0.0000794388,0.00001907797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005685824,0.0009023778,0.0011455646,0.0005493326,0.00038125445,0.000980841,0.00072700414,0.0009991865,0.0025904705],"category_scores_gemma":[0.0012998855,0.00040925856,0.00055770756,0.00067618594,0.0006439814,0.0007500398,0.0009016688,0.0007618171,0.00036293486],"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":[0.000027823815,0.000014417869,0.00022820587,0.000031637155,0.000016507169,0.000029304963,0.000028809282,0.979179,0.0006010222,0.006133754,0.0005786808,0.013130894],"study_design_scores_gemma":[0.0000048209786,0.000008457176,0.000020378637,0.0000023934292,0.0000022222068,0.0000045702864,0.000004825583,0.9984982,0.00007774524,0.001227975,0.0001469679,0.0000013692421],"about_ca_topic_score_codex":0.004760156,"about_ca_topic_score_gemma":0.0035981417,"teacher_disagreement_score":0.004760156,"about_ca_system_score_codex":0.0006489355,"about_ca_system_score_gemma":0.0011967232,"threshold_uncertainty_score":0.00946486},"labels":[],"label_agreement":null},{"id":"W4390905091","doi":"10.1109/tvt.2023.3346347","title":"IEEE Vehicular Technology Society Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Telecommunications; Engineering","score_opus":0.008909428271126908,"score_gpt":0.24254544941357284,"score_spread":0.23363602114244594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390905091","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005903546,0.02292597,0.13511541,0.008334813,0.018119054,0.00046205832,0.0072655836,0.008877253,0.7929963],"genre_scores_gemma":[0.037153684,0.017660543,0.01816588,0.00107102,0.0017627463,0.00027891813,0.018585492,0.0007769991,0.90454465],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992392,0.00012257558,0.00005396935,0.000089780304,0.00041921026,0.00007529528],"domain_scores_gemma":[0.9980762,0.00019690381,0.00006867039,0.00041353895,0.001135911,0.0001087902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872622,0.0015576323,0.0012202872,0.0038158316,0.00124685,0.003993181,0.0011166336,0.002234676,0.09245231],"category_scores_gemma":[0.0021995206,0.0006253953,0.0004464909,0.0036017438,0.00046708735,0.0023654182,0.0015157438,0.001991155,0.114497684],"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":[0.000079630336,0.00007566888,0.00053746765,0.00020183757,0.000024722733,0.000119267606,0.000057451663,0.001943017,0.00207968,0.012627444,0.53323406,0.44901973],"study_design_scores_gemma":[0.000012749368,0.00004919082,0.0006928794,0.00013966425,0.000037527265,0.00013830133,0.00006278931,0.0045184446,0.0016598381,0.005549398,0.9871159,0.000023249533],"about_ca_topic_score_codex":0.008095013,"about_ca_topic_score_gemma":0.007961223,"teacher_disagreement_score":0.09245231,"about_ca_system_score_codex":0.0011721891,"about_ca_system_score_gemma":0.0023626306,"threshold_uncertainty_score":0.3092838},"labels":[],"label_agreement":null},{"id":"W4390956198","doi":"10.1109/tvt.2024.3355119","title":"Value Matters: A Novel Value of Information-Based Resource Scheduling Method for CAVs","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","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":"University of Waterloo; Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Network packet; The Internet; Latency (audio); Distributed computing; Real-time computing; Computer network; Mathematical optimization","score_opus":0.006855504937254634,"score_gpt":0.23549376505159877,"score_spread":0.22863826011434413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390956198","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":[0.006468579,0.00017346552,0.98930395,0.00015415443,0.00009294597,0.00006532354,0.000027289396,0.00028832268,0.0034259926],"genre_scores_gemma":[0.58589,0.00034387418,0.40758535,0.00019889607,0.00023014595,0.00026438353,0.00012996713,0.00026989914,0.005087562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988323,0.00033980163,0.00006315725,0.00022403596,0.0003932104,0.00014761035],"domain_scores_gemma":[0.9986106,0.0006358105,0.00014624199,0.00015628338,0.00032903286,0.00012205465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015361425,0.00088333746,0.00075932645,0.00090271543,0.0008446794,0.0012500278,0.0019517674,0.00072967785,0.0028459202],"category_scores_gemma":[0.0046003684,0.00031223873,0.00059713953,0.00093225215,0.0008074432,0.0020308665,0.0014093441,0.0011317467,0.00042800236],"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":[0.00033939144,0.0002093499,0.0017409336,0.00022929897,0.00007695496,0.00025976115,0.00037670514,0.49262312,0.014812719,0.15328585,0.0077773836,0.32826853],"study_design_scores_gemma":[0.000014059671,0.000041318468,0.00009759291,0.000008250731,0.000010932905,0.000035475216,0.000025771236,0.9827116,0.0013359899,0.013418207,0.0022880528,0.00001271589],"about_ca_topic_score_codex":0.0037641726,"about_ca_topic_score_gemma":0.0032785563,"teacher_disagreement_score":0.0037641726,"about_ca_system_score_codex":0.0012761051,"about_ca_system_score_gemma":0.002115183,"threshold_uncertainty_score":0.009520531},"labels":[],"label_agreement":null},{"id":"W4391092857","doi":"10.1109/tvt.2024.3356532","title":"Security Performance Analysis of Single-User Downlink Communication Based on Double-RIS","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Telecommunications and Broadcasting Technologies","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":false,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Computer network","score_opus":0.013086301099063167,"score_gpt":0.22897039439372918,"score_spread":0.215884093294666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391092857","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":[0.3800765,0.0024544226,0.589693,0.00077700586,0.00019518068,0.00009276348,0.0001433899,0.00061306695,0.025954604],"genre_scores_gemma":[0.9923543,0.00031031758,0.0064026057,0.000036543974,0.0000151920385,0.000016486165,0.000025757325,0.00001261763,0.00082636805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984182,0.000481148,0.00004366593,0.00018125816,0.00043335897,0.00044233835],"domain_scores_gemma":[0.99719465,0.0014760168,0.0002774987,0.00037537803,0.00055872573,0.000117767675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013359803,0.0011578276,0.0007457905,0.0005486962,0.00072688714,0.0012820899,0.00074878754,0.00074736,0.0023905546],"category_scores_gemma":[0.0034069843,0.00028122184,0.00053121796,0.00053753325,0.0012808742,0.0015267332,0.001542888,0.00075032824,0.00044823394],"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":[0.0011889462,0.00009248637,0.0040025082,0.00027097168,0.0001372741,0.000584577,0.00021772251,0.8675723,0.03733845,0.05102776,0.0013766203,0.036190405],"study_design_scores_gemma":[0.000012302024,0.00018506603,0.00035741914,0.000014024774,0.00003446514,0.00018943036,0.00005985978,0.9893807,0.0071784966,0.0022504274,0.00031754762,0.000020178964],"about_ca_topic_score_codex":0.0020691562,"about_ca_topic_score_gemma":0.0014530655,"teacher_disagreement_score":0.0023905546,"about_ca_system_score_codex":0.0012645051,"about_ca_system_score_gemma":0.0011393885,"threshold_uncertainty_score":0.009174645},"labels":[],"label_agreement":null},{"id":"W4391092884","doi":"10.1109/tvt.2024.3356977","title":"Intelligent Reflecting Surfaces Assisted Cellular V2X Based Open RAN Communications","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Brandon University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Base station; Computer network; News aggregator; Ran; Network topology","score_opus":0.055385452947514624,"score_gpt":0.3223436380904464,"score_spread":0.2669581851429318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391092884","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":[0.11713932,0.00019309476,0.8674197,0.00014757738,0.00009384177,0.00010277047,0.00008259485,0.0021770427,0.012644077],"genre_scores_gemma":[0.8358522,0.00009780435,0.15637915,0.000072276285,0.00003806619,0.000094632465,0.00020024429,0.000051109717,0.0072144307],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944836,0.00011335626,0.000019697387,0.00010256611,0.00016981059,0.00014632837],"domain_scores_gemma":[0.9997061,0.00006911288,0.00003802004,0.000073465046,0.000074265554,0.00003902696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028220325,0.0007437252,0.00072146,0.00046250262,0.00061897613,0.0011597666,0.0012734564,0.0005456801,0.0026656105],"category_scores_gemma":[0.0005216423,0.00019425871,0.00040884834,0.0005604749,0.000473452,0.0006645904,0.0015849205,0.0005344778,0.0011498809],"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":[0.00069924083,0.00019047075,0.0021756946,0.00009178318,0.000075402866,0.00039084203,0.00039447343,0.40581664,0.13127153,0.014280784,0.005502353,0.43911073],"study_design_scores_gemma":[0.000031743573,0.00020809818,0.000461874,0.000005090867,0.000018110868,0.00012794771,0.000093283,0.96588224,0.02646936,0.0028990132,0.0037779114,0.000025323203],"about_ca_topic_score_codex":0.0018836501,"about_ca_topic_score_gemma":0.0028215526,"teacher_disagreement_score":0.0026656105,"about_ca_system_score_codex":0.00043966397,"about_ca_system_score_gemma":0.0005700331,"threshold_uncertainty_score":0.008917332},"labels":[],"label_agreement":null},{"id":"W4391093168","doi":"10.1109/tvt.2024.3355186","title":"Real-Time Torque-Distribution for Dual-Motor Off-Road Vehicle Using Machine Learning Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canada Research Chairs","keywords":"Dual (grammatical number); Torque; Automotive engineering; Computer science; Vehicle safety; Engineering; Control engineering; Physics","score_opus":0.006789606494745325,"score_gpt":0.2105657633875833,"score_spread":0.20377615689283796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391093168","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":[0.24078427,0.00023287306,0.75328773,0.00022274986,0.000039995815,0.000035191482,0.000064341344,0.0007739702,0.0045587723],"genre_scores_gemma":[0.9820338,0.0000404543,0.016873103,0.000014325801,0.000006602018,0.000016735974,0.000044372893,0.00001785672,0.00095296215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999156,0.000017652215,0.0000040761597,0.000021996984,0.000024203724,0.000016490401],"domain_scores_gemma":[0.9998154,0.00007484472,0.000028808849,0.000010014675,0.00005631985,0.00001457121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002739159,0.00041165005,0.00041371208,0.0002943927,0.00021884155,0.00039352794,0.00041414573,0.00037818894,0.0008635696],"category_scores_gemma":[0.0005383775,0.0001660388,0.00033691892,0.00022429103,0.00019041497,0.0002979579,0.00023980571,0.00033243658,0.00014129179],"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":[0.00004517088,0.000027656733,0.0010310163,0.000019261313,0.000011741844,0.00004159452,0.000017916129,0.9820326,0.0018481633,0.00040105588,0.00017694023,0.014346956],"study_design_scores_gemma":[5.823875e-7,0.0000035247488,0.00006638103,3.0098826e-7,5.649389e-7,0.0000015619333,0.0000014788046,0.99972814,0.00012270447,0.00005089804,0.000023106226,6.340292e-7],"about_ca_topic_score_codex":0.0059990673,"about_ca_topic_score_gemma":0.004070946,"teacher_disagreement_score":0.0059990673,"about_ca_system_score_codex":0.00047107175,"about_ca_system_score_gemma":0.0003498039,"threshold_uncertainty_score":0.01192826},"labels":[],"label_agreement":null},{"id":"W4391326527","doi":"10.1109/tvt.2024.3359998","title":"Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Reinforcement learning; Computer science; Jamming; Scalability; Distributed computing; Intrusion detection system; Artificial intelligence","score_opus":0.011179703815816408,"score_gpt":0.2464828677927557,"score_spread":0.2353031639769393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391326527","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04737511,0.00031970057,0.9487257,0.00028726674,0.000049124785,0.000038272145,0.000029160708,0.00071333785,0.002462301],"genre_scores_gemma":[0.9691214,0.000088942834,0.0292761,0.0001298248,0.00001650254,0.00004590535,0.000040435214,0.000021281176,0.001259659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999532,0.00012400358,0.00002353649,0.00010740359,0.00010164269,0.00011134133],"domain_scores_gemma":[0.9992167,0.00037448632,0.000113489616,0.00006850795,0.00016289849,0.00006383165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097066845,0.0007221671,0.00085703627,0.00026166937,0.000346845,0.00064158946,0.0009880085,0.00075532246,0.0010276586],"category_scores_gemma":[0.0023990965,0.00029148732,0.00041833523,0.00023570527,0.0007725363,0.0007268355,0.0011378304,0.0012858796,0.00016202155],"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":[0.00009012914,0.000077118086,0.0008474859,0.00003096535,0.00003289123,0.00006380505,0.000033038294,0.957842,0.0019759955,0.0038058406,0.0006041318,0.0345966],"study_design_scores_gemma":[0.000004452126,0.000015248437,0.000038389924,0.0000014397106,0.0000030697456,0.00000418874,0.0000016981467,0.99872154,0.00021716066,0.00092095934,0.00007014823,0.0000016664058],"about_ca_topic_score_codex":0.005901444,"about_ca_topic_score_gemma":0.005273436,"teacher_disagreement_score":0.005901444,"about_ca_system_score_codex":0.0007149391,"about_ca_system_score_gemma":0.0013406005,"threshold_uncertainty_score":0.011734188},"labels":[],"label_agreement":null},{"id":"W4391406957","doi":"10.1109/tvt.2024.3360445","title":"Decision-Making for Autonomous Vehicles in Random Task Scenarios at Unsignalized Intersection Using Deep Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":22,"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 Waterloo","funders":"","keywords":"Reinforcement learning; Intersection (aeronautics); Task (project management); Computer science; Artificial intelligence; Transport engineering; Engineering; Systems engineering","score_opus":0.006977837026825271,"score_gpt":0.2284857192886136,"score_spread":0.22150788226178833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391406957","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":[0.11057963,0.00028738478,0.8851709,0.00035168213,0.00006858934,0.00004435553,0.00003397485,0.00032373783,0.0031397534],"genre_scores_gemma":[0.9853871,0.000058806254,0.01323445,0.000053974563,0.00001313883,0.000028875353,0.000025571657,0.000012883718,0.001185093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960643,0.000101969694,0.000017660157,0.000109999695,0.0000676863,0.000096250726],"domain_scores_gemma":[0.9992669,0.0003530805,0.00011610548,0.000033141285,0.0001527385,0.00007804743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009193298,0.00078036456,0.0006870355,0.0002781476,0.00033988454,0.0007581197,0.0009985137,0.00077859,0.0009635124],"category_scores_gemma":[0.0016348251,0.0004006103,0.00045150553,0.00018858317,0.0007604017,0.0007394499,0.00080897234,0.0012763179,0.00014768024],"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":[0.00005937361,0.000031924264,0.0005820032,0.000018655477,0.000021486845,0.000051112667,0.000038236918,0.9876281,0.00096479006,0.0021369404,0.00017006128,0.008297244],"study_design_scores_gemma":[0.0000025633683,0.00000904174,0.00003654415,9.9977e-7,0.0000020813482,0.0000017299205,0.0000023118162,0.99930704,0.00010413289,0.0005048744,0.0000275059,0.0000011379132],"about_ca_topic_score_codex":0.011429491,"about_ca_topic_score_gemma":0.008133132,"teacher_disagreement_score":0.011429491,"about_ca_system_score_codex":0.000982283,"about_ca_system_score_gemma":0.0013006278,"threshold_uncertainty_score":0.02272594},"labels":[],"label_agreement":null},{"id":"W4391547679","doi":"10.1109/tvt.2024.3359426","title":"Intelligent Anti-Jamming Based on Deep Reinforcement Learning and Transfer Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Jamming; Reinforcement learning; Transfer of learning; Computer science; Artificial intelligence; Physics","score_opus":0.008451648450044966,"score_gpt":0.22692605995449183,"score_spread":0.21847441150444685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391547679","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":[0.04116662,0.0002738406,0.95502096,0.00022043027,0.000057091976,0.00003622493,0.00001608907,0.0011182955,0.0020905267],"genre_scores_gemma":[0.9457462,0.000109711065,0.05182838,0.00015183548,0.000030078842,0.00006208366,0.000039186456,0.00004551769,0.0019869888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996723,0.00007163068,0.000017731967,0.00007954415,0.000086190346,0.00007261465],"domain_scores_gemma":[0.99930465,0.00028308778,0.00011598648,0.000058306257,0.00018364008,0.000054177264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008571976,0.0008773182,0.0009188246,0.00045055733,0.0003348074,0.0005266372,0.0013275298,0.0007912823,0.0010401609],"category_scores_gemma":[0.0020711008,0.00036611283,0.0004344982,0.00031239117,0.00074656383,0.0008945922,0.00092518784,0.0012731592,0.00020923691],"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":[0.00006725989,0.00009777469,0.0007668157,0.000031285912,0.000047064,0.000061511244,0.000048026457,0.9160869,0.0039922367,0.0030670771,0.00076201925,0.07497197],"study_design_scores_gemma":[0.0000018470502,0.000010905742,0.000025970752,8.609231e-7,0.0000016715361,0.0000033019146,0.0000010667787,0.99927825,0.00026362418,0.000372263,0.000038880935,0.0000014464932],"about_ca_topic_score_codex":0.0052976417,"about_ca_topic_score_gemma":0.0035972977,"teacher_disagreement_score":0.0052976417,"about_ca_system_score_codex":0.0007656198,"about_ca_system_score_gemma":0.0009419597,"threshold_uncertainty_score":0.010533571},"labels":[],"label_agreement":null},{"id":"W4391559555","doi":"10.1109/tvt.2024.3363124","title":"Power Allocation and Beamforming Design for Uplink Rate-Splitting Multiple Access With User Cooperation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Telecommunications link; Beamforming; Computer science; Power (physics); Computer network; Telecommunications; Electronic engineering; Engineering; Physics","score_opus":0.012302716791102102,"score_gpt":0.2397134466277791,"score_spread":0.227410729836677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391559555","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":[0.0077009276,0.0002648493,0.9892112,0.00012049855,0.000024413923,0.00003743116,0.000027422597,0.00007439803,0.002538823],"genre_scores_gemma":[0.7861562,0.0010231922,0.2086089,0.0002285122,0.00009704917,0.00034973587,0.0001030793,0.000052116826,0.0033812232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898034,0.0004780033,0.00003349194,0.0001410269,0.00025508442,0.00011208274],"domain_scores_gemma":[0.999106,0.00039266466,0.00010999559,0.0000558187,0.00028344718,0.000051997693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011550515,0.0012846746,0.00085598713,0.00035488012,0.00031952906,0.0008849086,0.0011753355,0.00082896464,0.002063581],"category_scores_gemma":[0.0018664818,0.0005260607,0.0005237672,0.00094111735,0.00072475564,0.0008810057,0.00090552936,0.00075550965,0.0006239307],"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":[0.00012882546,0.00007983126,0.0006917295,0.00016856464,0.00007851957,0.0002664295,0.0001803299,0.8912042,0.015730776,0.032143075,0.0022305846,0.057097223],"study_design_scores_gemma":[0.000012980848,0.00007661977,0.00007365199,0.000006193557,0.000011340273,0.000058470305,0.000022560978,0.99486214,0.00082906865,0.0034754141,0.00056274846,0.000008801149],"about_ca_topic_score_codex":0.002066891,"about_ca_topic_score_gemma":0.0021613026,"teacher_disagreement_score":0.002066891,"about_ca_system_score_codex":0.0005550653,"about_ca_system_score_gemma":0.0013181714,"threshold_uncertainty_score":0.0069033504},"labels":[],"label_agreement":null},{"id":"W4391807625","doi":"10.1109/tvt.2024.3354751","title":"IEEE Vehicular Technology Society Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Telecommunications; Engineering; Electrical engineering","score_opus":0.008909428271126908,"score_gpt":0.24254544941357284,"score_spread":0.23363602114244594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391807625","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005903546,0.02292597,0.13511541,0.008334813,0.018119054,0.00046205832,0.0072655836,0.008877253,0.7929963],"genre_scores_gemma":[0.037153684,0.017660543,0.01816588,0.00107102,0.0017627463,0.00027891813,0.018585492,0.0007769991,0.90454465],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992392,0.00012257558,0.00005396935,0.000089780304,0.00041921026,0.00007529528],"domain_scores_gemma":[0.9980762,0.00019690381,0.00006867039,0.00041353895,0.001135911,0.0001087902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872622,0.0015576323,0.0012202872,0.0038158316,0.00124685,0.003993181,0.0011166336,0.002234676,0.09245231],"category_scores_gemma":[0.0021995206,0.0006253953,0.0004464909,0.0036017438,0.00046708735,0.0023654182,0.0015157438,0.001991155,0.114497684],"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":[0.000079630336,0.00007566888,0.00053746765,0.00020183757,0.000024722733,0.000119267606,0.000057451663,0.001943017,0.00207968,0.012627444,0.53323406,0.44901973],"study_design_scores_gemma":[0.000012749368,0.00004919082,0.0006928794,0.00013966425,0.000037527265,0.00013830133,0.00006278931,0.0045184446,0.0016598381,0.005549398,0.9871159,0.000023249533],"about_ca_topic_score_codex":0.008095013,"about_ca_topic_score_gemma":0.007961223,"teacher_disagreement_score":0.09245231,"about_ca_system_score_codex":0.0011721891,"about_ca_system_score_gemma":0.0023626306,"threshold_uncertainty_score":0.3092838},"labels":[],"label_agreement":null},{"id":"W4391952613","doi":"10.1109/tvt.2024.3367362","title":"Enabling Deep Learning-Based Physical-Layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council; National Natural Science Foundation of China","keywords":"Physical layer; Key (lock); Orthogonal frequency-division multiplexing; Computer science; Electronic engineering; Layer (electronics); Computer network; Telecommunications; Engineering; Materials science; Channel (broadcasting); Wireless; Computer security; Nanotechnology","score_opus":0.026410964962477072,"score_gpt":0.2663892021730431,"score_spread":0.23997823721056605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391952613","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":[0.042540275,0.00030805258,0.9544928,0.00024058105,0.00004882171,0.000028830671,0.000041726897,0.00056196045,0.001736889],"genre_scores_gemma":[0.937693,0.00019974793,0.06049772,0.00014153324,0.00002195938,0.000039314473,0.000066446606,0.000024361212,0.001316035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995958,0.00009590985,0.000020370202,0.00007697802,0.0000994499,0.00011138158],"domain_scores_gemma":[0.9993148,0.00034299082,0.000090262816,0.00010169914,0.00011389502,0.000036307898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007417115,0.0006773353,0.0005671724,0.00029826455,0.00037108443,0.0006946152,0.000875034,0.0006644917,0.00093966635],"category_scores_gemma":[0.0018861747,0.00028544417,0.0003976975,0.00038862863,0.0007507871,0.0023778216,0.0017233463,0.0013917787,0.0002671818],"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":[0.00020440842,0.00014640362,0.0013293318,0.0001159471,0.000056633748,0.00019081036,0.00011925756,0.79711175,0.017181491,0.016037013,0.0017663212,0.16574062],"study_design_scores_gemma":[0.0000047312756,0.000027543269,0.000061807325,0.000003149017,0.0000043020123,0.000023903069,0.000009154103,0.99334717,0.0034215313,0.0028250017,0.00026736912,0.000004351254],"about_ca_topic_score_codex":0.001329246,"about_ca_topic_score_gemma":0.0019579104,"teacher_disagreement_score":0.001329246,"about_ca_system_score_codex":0.000790038,"about_ca_system_score_gemma":0.00080871914,"threshold_uncertainty_score":0.0057321787},"labels":[],"label_agreement":null},{"id":"W4392114235","doi":"10.1109/tvt.2024.3369100","title":"REAL-SAP: Real-Time Evidence Aware Liable Safety Assessment for Perception in Autonomous Driving","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":7,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Reliability engineering; Computer science; Real-time computing; Engineering; Psychology","score_opus":0.01283765923528781,"score_gpt":0.29982265714430745,"score_spread":0.28698499790901966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392114235","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":[0.032929257,0.00026168863,0.96357155,0.00017238794,0.00005260033,0.00007649523,0.00007176953,0.0015802983,0.0012839516],"genre_scores_gemma":[0.8968409,0.00012796199,0.10128038,0.00013070651,0.000041141964,0.000091146096,0.00014338321,0.00008023388,0.0012642379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991779,0.00020924208,0.000049522165,0.00018843096,0.00028894108,0.00008594742],"domain_scores_gemma":[0.9974262,0.0010463926,0.00032396338,0.0002958104,0.0007004573,0.00020711048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023238035,0.0009822415,0.00073171844,0.0007694429,0.00029279024,0.0012411044,0.0018660004,0.0010555584,0.0019825802],"category_scores_gemma":[0.007326016,0.00034575438,0.00042929134,0.0003425061,0.0009415272,0.001962216,0.0023306555,0.0013175192,0.00038128643],"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":[0.0009208809,0.00025876038,0.0068718805,0.00031640913,0.00015363669,0.0005092168,0.00029966346,0.56228614,0.021819342,0.014271581,0.0034187706,0.38887376],"study_design_scores_gemma":[0.000010965035,0.00008135651,0.00058920134,0.000010860236,0.000012474404,0.000053906515,0.000017960743,0.99101347,0.0035799788,0.004242046,0.00037527518,0.0000123974805],"about_ca_topic_score_codex":0.0020028595,"about_ca_topic_score_gemma":0.0024547742,"teacher_disagreement_score":0.0023238035,"about_ca_system_score_codex":0.0007562728,"about_ca_system_score_gemma":0.0013049596,"threshold_uncertainty_score":0.012289584},"labels":[],"label_agreement":null},{"id":"W4392308971","doi":"10.1109/tvt.2024.3371019","title":"Joint Admission and Power Control for Massive Connections via Graph Neural Network","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Software-Defined Networks and 5G","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; University of Victoria","funders":"Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Artificial neural network; Joint (building); Computer science; Computer network; Graph; Power control; Control (management); Power (physics); Artificial intelligence; Engineering; Theoretical computer science; Physics","score_opus":0.009476990099843692,"score_gpt":0.22479050120976882,"score_spread":0.21531351110992514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392308971","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":[0.061860792,0.00034895662,0.9340983,0.0004616789,0.000075736745,0.000049909868,0.000038831717,0.0005496632,0.0025160997],"genre_scores_gemma":[0.9595293,0.0001462891,0.038330752,0.000160437,0.000047232985,0.00005599772,0.000051611187,0.000030241592,0.0016482215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995135,0.00010500535,0.000022114633,0.00013608868,0.0000970189,0.00012630345],"domain_scores_gemma":[0.99895906,0.00062505464,0.00013862294,0.000046689078,0.00015286074,0.000077628385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006918421,0.00085815246,0.0008842608,0.00060051354,0.0005653336,0.00074315915,0.0013870826,0.0009964089,0.0013487469],"category_scores_gemma":[0.0023668478,0.00034740294,0.0004835766,0.00074511283,0.0009527194,0.0013409959,0.0011535474,0.0012475639,0.0001250343],"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":[0.000091051756,0.00006628112,0.00071843667,0.000032257307,0.000027886092,0.00006132013,0.000050513107,0.94143504,0.0015021283,0.006697039,0.0008714978,0.04844643],"study_design_scores_gemma":[0.0000037301074,0.000007779691,0.00004163449,7.718609e-7,0.0000029062687,0.0000045150705,0.0000025253976,0.99790657,0.00012070627,0.0018620202,0.000045195833,0.0000016520695],"about_ca_topic_score_codex":0.012127195,"about_ca_topic_score_gemma":0.012011554,"teacher_disagreement_score":0.012127195,"about_ca_system_score_codex":0.0014751492,"about_ca_system_score_gemma":0.0011848728,"threshold_uncertainty_score":0.024113178},"labels":[],"label_agreement":null},{"id":"W4392567309","doi":"10.1109/tvt.2024.3374303","title":"Cost-Aware Task Offloading and Migration for Wireless Virtual Reality Using Interactive A3C Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Carleton University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Virtual reality; Computer network; Wireless; Task (project management); Augmented reality; Human–computer interaction; Engineering; Telecommunications","score_opus":0.025403904863039138,"score_gpt":0.2666490729080292,"score_spread":0.24124516804499005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392567309","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":[0.018289166,0.00013709799,0.97627616,0.00014799729,0.000061859704,0.00003728254,0.000017580249,0.00038203434,0.004650759],"genre_scores_gemma":[0.8771999,0.0001391293,0.119191445,0.00013401388,0.000043787786,0.00014966363,0.00005213728,0.000097698496,0.002992161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996001,0.00009975867,0.000019226667,0.00008457475,0.000114332,0.000082155086],"domain_scores_gemma":[0.9993655,0.00026638765,0.00006762831,0.00007942137,0.0001346677,0.00008642733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004882728,0.0008313559,0.0005277824,0.00033061323,0.0006047477,0.0008469603,0.0013144328,0.0006973333,0.0024945508],"category_scores_gemma":[0.0013492807,0.0002677382,0.00042243436,0.00033845936,0.00055303605,0.0006721718,0.001514811,0.00088681665,0.0003606669],"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":[0.00022105101,0.00012588408,0.00065780635,0.00008401488,0.000038774633,0.00015486515,0.00012590027,0.8997697,0.017333748,0.009727544,0.0022855424,0.06947514],"study_design_scores_gemma":[0.0000061466003,0.000018505329,0.00005903154,0.0000018569988,0.0000036653498,0.000012932015,0.00000769985,0.9979075,0.0007509157,0.00085831137,0.00036964714,0.0000038306744],"about_ca_topic_score_codex":0.0055086156,"about_ca_topic_score_gemma":0.005775557,"teacher_disagreement_score":0.0055086156,"about_ca_system_score_codex":0.0005022352,"about_ca_system_score_gemma":0.0010976943,"threshold_uncertainty_score":0.010953069},"labels":[],"label_agreement":null},{"id":"W4392607751","doi":"10.1109/tvt.2024.3373819","title":"Measurement-Based Small-Scale Channel Model for Sub-6 GHz RIS-Assisted Communications","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Research Council; Centre National de la Recherche Scientifique; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; Southeast University; National Natural Science Foundation of China; China Mobile Research Institute; HORIZON EUROPE Framework Programme; Université Paris-Saclay; Agence Nationale de la Recherche; Queen's University Belfast; Queen's University; European Commission","keywords":"Fading; Channel (broadcasting); Scale (ratio); Electronic engineering; Wireless; Computer science; Broadband; Engineering; Telecommunications; Physics","score_opus":0.048323941554955764,"score_gpt":0.2587783756216554,"score_spread":0.21045443406669964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392607751","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":[0.07617707,0.00020208207,0.91782516,0.00018399922,0.000053946063,0.000047266356,0.0003353741,0.0007867553,0.0043883743],"genre_scores_gemma":[0.9493418,0.0005484913,0.046706535,0.00008608306,0.00004728583,0.00016134528,0.00047202234,0.00012184951,0.0025145577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999648,0.00008394645,0.000010220951,0.000072219926,0.00013773041,0.00004783681],"domain_scores_gemma":[0.99958044,0.00015993917,0.000071552546,0.00006674203,0.00010788165,0.000013599587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026420158,0.00063937844,0.00038349282,0.00042423565,0.00023469637,0.00049514737,0.00078593136,0.00056888844,0.0010763771],"category_scores_gemma":[0.0008602918,0.0002226712,0.00037904113,0.0005933922,0.00044948485,0.0009879876,0.00035354542,0.0006481932,0.00058830145],"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":[0.000054925968,0.00006331563,0.0019348557,0.00007300865,0.000021806325,0.00012111824,0.000064909225,0.942033,0.029680582,0.0115053,0.00095993653,0.013487262],"study_design_scores_gemma":[0.0000023355487,0.000019222174,0.0003374894,0.000002004808,0.0000041132153,0.00003300014,0.00001021482,0.9959139,0.0022560214,0.0009407722,0.00047291172,0.000007926199],"about_ca_topic_score_codex":0.0022524858,"about_ca_topic_score_gemma":0.0019116519,"teacher_disagreement_score":0.0022524858,"about_ca_system_score_codex":0.00069205905,"about_ca_system_score_gemma":0.00058415387,"threshold_uncertainty_score":0.0050212145},"labels":[],"label_agreement":null},{"id":"W4392607804","doi":"10.1109/tvt.2024.3373906","title":"Multi-Agent Deep Reinforcement Learning-Based Multi-Objective Cooperative Control Strategy for Hybrid Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Control (management); Engineering; Control engineering; Artificial intelligence","score_opus":0.008474659776827303,"score_gpt":0.22898457972222447,"score_spread":0.22050991994539718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392607804","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":[0.06081727,0.0004415717,0.93296784,0.00030523687,0.00007142622,0.000050365936,0.00002007452,0.0002522734,0.0050739697],"genre_scores_gemma":[0.9841061,0.00006683599,0.013982658,0.000072858405,0.000011674277,0.000059547412,0.000017503902,0.000009373489,0.0016733318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997303,0.00006236933,0.000013894333,0.000062648265,0.00006868483,0.000062081046],"domain_scores_gemma":[0.9996451,0.0001333879,0.000066586,0.00001879707,0.00010386873,0.000032204724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007247025,0.0006601435,0.00069416355,0.00023071934,0.00038649756,0.00055443944,0.0009052994,0.00061087636,0.0010156082],"category_scores_gemma":[0.00093095936,0.00030730446,0.00038211377,0.000200375,0.0005723444,0.00047575613,0.0007666686,0.00071567565,0.00011541462],"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":[0.000050185485,0.000039670693,0.00043884138,0.000030442401,0.000032792013,0.000059217826,0.000052422776,0.97258085,0.001771827,0.003415724,0.00042545222,0.02110255],"study_design_scores_gemma":[0.000006387747,0.000021034713,0.000046885023,0.000001305651,0.0000031901368,0.0000032587948,0.0000031843372,0.9992053,0.00013120582,0.0004732513,0.0001034018,0.0000016395472],"about_ca_topic_score_codex":0.011030791,"about_ca_topic_score_gemma":0.007531948,"teacher_disagreement_score":0.011030791,"about_ca_system_score_codex":0.0007305872,"about_ca_system_score_gemma":0.0010112002,"threshold_uncertainty_score":0.021933198},"labels":[],"label_agreement":null},{"id":"W4392719396","doi":"10.1109/tvt.2024.3376544","title":"STC: Spatial and Temporal Clustering for Cooperative Perception System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Video Surveillance and Tracking Methods","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":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Computer science; Perception; Artificial intelligence; Psychology","score_opus":0.017572166993444417,"score_gpt":0.27997256076428345,"score_spread":0.262400393770839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392719396","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":[0.023690663,0.00031584303,0.96018255,0.00028615544,0.00015955821,0.00023022047,0.00035401425,0.010507663,0.0042732377],"genre_scores_gemma":[0.56176925,0.0002965004,0.42582622,0.0003884952,0.00010720054,0.00039195333,0.0016675454,0.0003321436,0.009220713],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992217,0.000085062835,0.000036933874,0.00021709583,0.00031497798,0.0001242489],"domain_scores_gemma":[0.9992112,0.00008305393,0.00006300887,0.00015131195,0.00039722846,0.00009419755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061918003,0.0008758603,0.00075908436,0.0010390996,0.0010777063,0.00088558876,0.0026135636,0.0010484048,0.0029684657],"category_scores_gemma":[0.0013951237,0.00031144195,0.000567989,0.0010208198,0.00046565625,0.0010904196,0.0016583019,0.0008410669,0.001938455],"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":[0.001009477,0.0004578737,0.003279976,0.00024845777,0.0001874712,0.0004268186,0.00054999476,0.19489485,0.099003665,0.009428412,0.044549037,0.64596397],"study_design_scores_gemma":[0.000041100542,0.00014959027,0.0011228074,0.00000861,0.00002839308,0.00016993254,0.00011618093,0.9686835,0.019035844,0.0025262784,0.008069306,0.000048607755],"about_ca_topic_score_codex":0.016386386,"about_ca_topic_score_gemma":0.014536562,"teacher_disagreement_score":0.016386386,"about_ca_system_score_codex":0.0014506018,"about_ca_system_score_gemma":0.001978594,"threshold_uncertainty_score":0.032582045},"labels":[],"label_agreement":null},{"id":"W4392739252","doi":"10.1109/tvt.2024.3364657","title":"IEEE Vehicular Technology Society Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Engineering; Telecommunications","score_opus":0.008909428271126908,"score_gpt":0.24254544941357284,"score_spread":0.23363602114244594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392739252","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005903546,0.02292597,0.13511541,0.008334813,0.018119054,0.00046205832,0.0072655836,0.008877253,0.7929963],"genre_scores_gemma":[0.037153684,0.017660543,0.01816588,0.00107102,0.0017627463,0.00027891813,0.018585492,0.0007769991,0.90454465],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992392,0.00012257558,0.00005396935,0.000089780304,0.00041921026,0.00007529528],"domain_scores_gemma":[0.9980762,0.00019690381,0.00006867039,0.00041353895,0.001135911,0.0001087902],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009872622,0.0015576323,0.0012202872,0.0038158316,0.00124685,0.003993181,0.0011166336,0.002234676,0.09245231],"category_scores_gemma":[0.0021995206,0.0006253953,0.0004464909,0.0036017438,0.00046708735,0.0023654182,0.0015157438,0.001991155,0.114497684],"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":[0.000079630336,0.00007566888,0.00053746765,0.00020183757,0.000024722733,0.000119267606,0.000057451663,0.001943017,0.00207968,0.012627444,0.53323406,0.44901973],"study_design_scores_gemma":[0.000012749368,0.00004919082,0.0006928794,0.00013966425,0.000037527265,0.00013830133,0.00006278931,0.0045184446,0.0016598381,0.005549398,0.9871159,0.000023249533],"about_ca_topic_score_codex":0.008095013,"about_ca_topic_score_gemma":0.007961223,"teacher_disagreement_score":0.9075477,"about_ca_system_score_codex":0.0011721891,"about_ca_system_score_gemma":0.0023626306,"threshold_uncertainty_score":0.3092838},"labels":[],"label_agreement":null},{"id":"W4393285820","doi":"10.1109/tvt.2024.3382650","title":"Graph Neural Network Enabled Propagation Graph Method for Channel Modeling","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Technology and Security Systems","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","funders":"Natural Science Foundation of Beijing Municipality; Fundamental Research Funds for the Central Universities; Javna Agencija za Raziskovalno Dejavnost RS; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Computer science; Graph; Artificial neural network; Graph theory; Theoretical computer science; Artificial intelligence; Mathematics; Combinatorics","score_opus":0.016912293717816815,"score_gpt":0.2578277966634009,"score_spread":0.24091550294558406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393285820","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":[0.0020957221,0.000099054814,0.99625254,0.00006610466,0.000031388558,0.000014895173,0.000066003166,0.00035484973,0.0010193755],"genre_scores_gemma":[0.3629447,0.0008261534,0.6267516,0.00023577567,0.0000987964,0.00027208152,0.0007286656,0.0003391194,0.007803106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999767,0.00008358194,0.000007900133,0.00004411588,0.000074430536,0.000022937447],"domain_scores_gemma":[0.9995498,0.0002408842,0.000036120247,0.000037448382,0.00011855532,0.000017183847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034167056,0.00079894037,0.00044384506,0.00066743983,0.0003293935,0.0005362772,0.0009897335,0.0007214266,0.0032258742],"category_scores_gemma":[0.0012962439,0.00030347207,0.0006225072,0.00077201164,0.00039334618,0.0009956871,0.0005107453,0.0015699742,0.0007462071],"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":[0.000024574281,0.000018538958,0.00023779254,0.000043699984,0.000029239845,0.000039193936,0.00002142385,0.94033223,0.001531769,0.012122169,0.0012428558,0.04435647],"study_design_scores_gemma":[0.0000011177593,0.0000030132912,0.000021969283,0.0000015441872,0.000001969572,0.0000050203494,0.0000015439427,0.99745613,0.00019151747,0.0019896794,0.00032444586,0.0000020618902],"about_ca_topic_score_codex":0.012191652,"about_ca_topic_score_gemma":0.013369369,"teacher_disagreement_score":0.012191652,"about_ca_system_score_codex":0.0007465595,"about_ca_system_score_gemma":0.0011366983,"threshold_uncertainty_score":0.024241388},"labels":[],"label_agreement":null},{"id":"W4393639702","doi":"10.1109/tvt.2024.3384375","title":"Communications Channel Characteristics in the Presence of Aircraft Body Blockage in Urban Air Mobility","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Air Traffic Management and Optimization","field":"Engineering","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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Channel (broadcasting); Engineering; Aeronautics; Electrical engineering; Aerospace engineering; Computer science; Telecommunications","score_opus":0.0084074097517736,"score_gpt":0.2198849139658826,"score_spread":0.21147750421410902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393639702","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":[0.9985349,0.000014422208,0.0010306104,0.000011539856,0.000002744783,0.0000035378816,0.000068779045,0.000020633419,0.0003128232],"genre_scores_gemma":[0.9997305,0.000011011773,0.00012422317,0.0000028014447,0.0000015341826,0.0000023327102,0.000052442778,0.0000020412883,0.00007309121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978346,0.000031620133,0.000007015966,0.000040172727,0.000053855725,0.000083905245],"domain_scores_gemma":[0.9986331,0.0007044315,0.00022176186,0.00006511305,0.00028174598,0.00009381877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019073332,0.00022558706,0.00020757252,0.00049960765,0.0002801936,0.0002985795,0.00019363975,0.00032916182,0.00058853923],"category_scores_gemma":[0.0010573983,0.00015911872,0.00009191137,0.0006033536,0.0005182642,0.00034634705,0.00030905294,0.00026155988,0.00014549764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020167169,0.00026822786,0.46125752,0.00015768362,0.00013077781,0.004375571,0.0012360174,0.37992364,0.13099784,0.00094877527,0.0010747692,0.017612409],"study_design_scores_gemma":[0.00004082459,0.00056941446,0.57183355,0.000017902597,0.00011191418,0.001308697,0.0017871518,0.3920011,0.031328242,0.00027315674,0.00065330503,0.00007470215],"about_ca_topic_score_codex":0.012999054,"about_ca_topic_score_gemma":0.015552268,"teacher_disagreement_score":0.012999054,"about_ca_system_score_codex":0.00038087976,"about_ca_system_score_gemma":0.0002919348,"threshold_uncertainty_score":0.02584678},"labels":[],"label_agreement":null},{"id":"W4394841790","doi":"10.1109/tvt.2024.3388512","title":"Joint Association, Trajectory, Offloading, and Resource Optimization in Air and Ground Cooperative MEC Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","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 Victoria","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Science Foundation of Sichuan Province; National Mobile Communications Research Laboratory, Southeast University; National Natural Science Foundation of China","keywords":"Trajectory; Joint (building); Computer science; Association (psychology); Resource management (computing); Trajectory optimization; Resource allocation; Engineering; Computer network; Physics","score_opus":0.01105645213271274,"score_gpt":0.2124146303020145,"score_spread":0.20135817816930174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394841790","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":[0.06551319,0.0004034899,0.92903197,0.00022882324,0.000032397817,0.000040824783,0.000046013043,0.00018449099,0.0045188316],"genre_scores_gemma":[0.9682682,0.00020202814,0.028962933,0.000042281863,0.000016000871,0.00007552135,0.000056346977,0.000022821538,0.002353734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950206,0.0001300663,0.000017173445,0.0001203425,0.00010620117,0.00012421729],"domain_scores_gemma":[0.9995634,0.00022106343,0.00007060223,0.00003961378,0.00007428364,0.00003105519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004490003,0.00078402204,0.00083369366,0.00025847717,0.0005575691,0.00087447726,0.0006588381,0.0006366731,0.0008829693],"category_scores_gemma":[0.0012103774,0.00033752105,0.0003429369,0.0006400888,0.00064901874,0.0008466863,0.0009890486,0.0005433218,0.00017623288],"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":[0.000032279833,0.000019084613,0.0003313881,0.000019529552,0.00000939757,0.00006102837,0.000035505887,0.9837668,0.0011667759,0.0034742292,0.0002967071,0.010787281],"study_design_scores_gemma":[0.0000029365415,0.000013687134,0.0000709383,0.000001057971,0.0000022534687,0.000007731432,0.000007645892,0.99868053,0.00022118288,0.0008465976,0.00014334687,0.000001987494],"about_ca_topic_score_codex":0.010615813,"about_ca_topic_score_gemma":0.007654576,"teacher_disagreement_score":0.010615813,"about_ca_system_score_codex":0.0008212697,"about_ca_system_score_gemma":0.0010887852,"threshold_uncertainty_score":0.02110809},"labels":[],"label_agreement":null},{"id":"W4394894278","doi":"10.1109/tvt.2024.3377650","title":"IEEE Vehicular Technology Society Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Engineering; Telecommunications; Electrical engineering; Systems engineering","score_opus":0.008909428271126908,"score_gpt":0.24254544941357284,"score_spread":0.23363602114244594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394894278","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005903546,0.02292597,0.13511541,0.008334813,0.018119054,0.00046205832,0.0072655836,0.008877253,0.7929963],"genre_scores_gemma":[0.037153684,0.017660543,0.01816588,0.00107102,0.0017627463,0.00027891813,0.018585492,0.0007769991,0.90454465],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992392,0.00012257558,0.00005396935,0.000089780304,0.00041921026,0.00007529528],"domain_scores_gemma":[0.9980762,0.00019690381,0.00006867039,0.00041353895,0.001135911,0.0001087902],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009872622,0.0015576323,0.0012202872,0.0038158316,0.00124685,0.003993181,0.0011166336,0.002234676,0.09245231],"category_scores_gemma":[0.0021995206,0.0006253953,0.0004464909,0.0036017438,0.00046708735,0.0023654182,0.0015157438,0.001991155,0.114497684],"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":[0.000079630336,0.00007566888,0.00053746765,0.00020183757,0.000024722733,0.000119267606,0.000057451663,0.001943017,0.00207968,0.012627444,0.53323406,0.44901973],"study_design_scores_gemma":[0.000012749368,0.00004919082,0.0006928794,0.00013966425,0.000037527265,0.00013830133,0.00006278931,0.0045184446,0.0016598381,0.005549398,0.9871159,0.000023249533],"about_ca_topic_score_codex":0.008095013,"about_ca_topic_score_gemma":0.007961223,"teacher_disagreement_score":0.9075477,"about_ca_system_score_codex":0.0011721891,"about_ca_system_score_gemma":0.0023626306,"threshold_uncertainty_score":0.3092838},"labels":[],"label_agreement":null},{"id":"W4394938938","doi":"10.1109/tvt.2024.3390693","title":"Precoding and Trajectory Design for UAV-Assisted Integrated Communication and Sensing Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","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":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Precoding; Trajectory; Computer science; Electronic engineering; Zero-forcing precoding; Engineering; MIMO; Physics; Beamforming","score_opus":0.01607255637161965,"score_gpt":0.22094495534004718,"score_spread":0.20487239896842754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394938938","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":[0.0061953,0.00018086111,0.991301,0.000074775235,0.000022815271,0.00002517118,0.0000323393,0.00008893533,0.0020787613],"genre_scores_gemma":[0.7813405,0.0008844264,0.21045512,0.000108472566,0.00006812177,0.00032274675,0.00027184468,0.00005401409,0.006494732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956995,0.00011069696,0.000020575655,0.00010907246,0.00014056484,0.000049093374],"domain_scores_gemma":[0.99955064,0.00017164969,0.000086727894,0.000031488686,0.00014033081,0.00001909929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046800362,0.00083477807,0.0005932483,0.00028336418,0.00031968387,0.00078076875,0.00055328733,0.00076368486,0.00161],"category_scores_gemma":[0.001241613,0.00033240963,0.00042652836,0.0005141094,0.00052066165,0.00065804453,0.0006481092,0.00073445385,0.00041385504],"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":[0.000060232986,0.00002414945,0.00039101407,0.00010033476,0.000026371019,0.00011758267,0.00010471052,0.9362617,0.0066530393,0.01665378,0.0008283861,0.0387787],"study_design_scores_gemma":[0.000006331186,0.000040221083,0.000070140326,0.0000059938293,0.0000045216752,0.000020422047,0.0000113032775,0.99678874,0.0006244943,0.0017745993,0.0006487885,0.0000044268745],"about_ca_topic_score_codex":0.0040667662,"about_ca_topic_score_gemma":0.003034289,"teacher_disagreement_score":0.0040667662,"about_ca_system_score_codex":0.0005451088,"about_ca_system_score_gemma":0.0011338076,"threshold_uncertainty_score":0.0080862045},"labels":[],"label_agreement":null},{"id":"W4395096444","doi":"10.1109/tvt.2024.3390032","title":"Tire Road Friction Coefficient Estimation for Individual Wheel Based on Two Robust PMI Observers and a Multilayer Perceptron","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China","keywords":"Friction coefficient; Multilayer perceptron; Coefficient of friction; Automotive engineering; Perceptron; Control theory (sociology); Engineering; Computer science; Artificial intelligence; Materials science; Artificial neural network; Control (management)","score_opus":0.011144138125551482,"score_gpt":0.22362536481030032,"score_spread":0.21248122668474884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395096444","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":[0.030774362,0.00022309966,0.9676284,0.000064893145,0.000047706675,0.000029394903,0.00001719707,0.0005126897,0.0007022523],"genre_scores_gemma":[0.9162075,0.00019971123,0.08141431,0.00006556799,0.000042601747,0.00010705053,0.000072593895,0.000020997179,0.0018697892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954706,0.000055220124,0.000042533964,0.00014658671,0.00014550729,0.000063133586],"domain_scores_gemma":[0.9994351,0.0001200164,0.000117957905,0.0000766903,0.0002169971,0.000033242406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007938036,0.0008749723,0.0009068867,0.00046049812,0.00037682411,0.00060951925,0.0010331426,0.00076522195,0.0007153143],"category_scores_gemma":[0.0014570195,0.0006494252,0.00074829004,0.00030433288,0.00040895006,0.0010321278,0.000703673,0.0011436848,0.0002477551],"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":[0.00059594127,0.00030236974,0.0061760354,0.00031111838,0.0002443613,0.0001488705,0.00027989966,0.5520889,0.051080372,0.003496509,0.0016011957,0.3836744],"study_design_scores_gemma":[0.000010148101,0.00006136639,0.0005921534,0.0000054291936,0.000016699189,0.000015275815,0.0000059147073,0.9961378,0.0027683277,0.00021047026,0.00016684234,0.000009572177],"about_ca_topic_score_codex":0.0054000267,"about_ca_topic_score_gemma":0.00391604,"teacher_disagreement_score":0.0054000267,"about_ca_system_score_codex":0.0005433601,"about_ca_system_score_gemma":0.00067115185,"threshold_uncertainty_score":0.010737181},"labels":[],"label_agreement":null},{"id":"W4396523200","doi":"10.1109/tvt.2024.3394909","title":"Achieving Efficient and Privacy-Preserving Worker Selection With Arbitrary Spatial Ranges for Vehicular Crowdsensing","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Computer science; Bloom filter; Upload; Scheme (mathematics); Crowdsensing; Computation; Selection (genetic algorithm); Cryptography; Location awareness; Similarity (geometry); Overhead (engineering); Mobile device; Information privacy; Data mining; Distributed computing; Computer network; Computer security; Artificial intelligence; Algorithm; Image (mathematics)","score_opus":0.007842734417457916,"score_gpt":0.2225498839795691,"score_spread":0.21470714956211118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396523200","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":[0.050434954,0.0004048987,0.9442119,0.0003651103,0.0000680495,0.0002065389,0.0001612703,0.0009642152,0.0031830685],"genre_scores_gemma":[0.9192853,0.00021657464,0.07708213,0.00015495851,0.00004625763,0.00016774004,0.00015702273,0.000034507662,0.002855543],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973774,0.00055727625,0.00017679448,0.00048214995,0.0009780134,0.00042832538],"domain_scores_gemma":[0.9971949,0.0007526855,0.00036394037,0.0011538271,0.0003563328,0.00017823174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014094495,0.00064953417,0.0010138183,0.0005887653,0.0016293366,0.0011431109,0.0017304725,0.0010668905,0.0012243441],"category_scores_gemma":[0.004493945,0.0003074756,0.00062917906,0.0010153818,0.0009821778,0.0022646992,0.0042916927,0.000866198,0.00059230503],"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":[0.002710313,0.00035103824,0.008856903,0.00048573632,0.00019310722,0.00190366,0.002911843,0.24181569,0.16771707,0.13196857,0.010436465,0.43064964],"study_design_scores_gemma":[0.00014801834,0.00036299217,0.0012472866,0.000045234403,0.0000576354,0.0010181882,0.00066174543,0.8666007,0.058731727,0.057642743,0.013370297,0.00011341949],"about_ca_topic_score_codex":0.0018140906,"about_ca_topic_score_gemma":0.0020596029,"teacher_disagreement_score":0.0018140906,"about_ca_system_score_codex":0.0010262477,"about_ca_system_score_gemma":0.001852697,"threshold_uncertainty_score":0.007453978},"labels":[],"label_agreement":null},{"id":"W4396534955","doi":"10.1109/tvt.2024.3394350","title":"You Only Look at Once for Real-Time and Generic Multi-Task","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":62,"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 Windsor","funders":"Canada Research Chairs","keywords":"Task (project management); Computer science; Engineering; Embedded system; Systems engineering","score_opus":0.014429421417233796,"score_gpt":0.25014116532074776,"score_spread":0.23571174390351396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396534955","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":[0.047441546,0.00086711266,0.91816854,0.0014518669,0.0004776323,0.00025335295,0.0009873123,0.01558001,0.014772735],"genre_scores_gemma":[0.66605526,0.00074989756,0.30213964,0.0010361166,0.00014790698,0.0003577363,0.0026993274,0.001239032,0.025575152],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999617,0.000042473905,0.000018408284,0.00016141223,0.00008610384,0.00007462234],"domain_scores_gemma":[0.9993542,0.00012896785,0.000040164476,0.0002493345,0.00014404413,0.00008328712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064019253,0.0011688826,0.0006407889,0.0002521865,0.00046234502,0.0011077034,0.0019533248,0.0013597485,0.00652152],"category_scores_gemma":[0.0020227453,0.0005541351,0.00074383226,0.00034027474,0.00052960997,0.0027745797,0.0015023084,0.0022376645,0.005772929],"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":[0.001168134,0.00081729057,0.007867209,0.00061917753,0.0002230504,0.00049205445,0.00038804216,0.27469313,0.05325721,0.018202506,0.08601648,0.5562558],"study_design_scores_gemma":[0.00004799335,0.00018384735,0.0013680871,0.000033241296,0.000035869987,0.0002081738,0.00008114383,0.94384336,0.011014989,0.014556892,0.028576912,0.000049424303],"about_ca_topic_score_codex":0.005415718,"about_ca_topic_score_gemma":0.010284913,"teacher_disagreement_score":0.00652152,"about_ca_system_score_codex":0.0005765337,"about_ca_system_score_gemma":0.0011709995,"threshold_uncertainty_score":0.02181667},"labels":[],"label_agreement":null},{"id":"W4396766647","doi":"10.1109/tvt.2024.3398661","title":"A Collective and Continuous Rule Learning Framework Towards Enhanced Driving Safety and Decision Transparency","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transparency (behavior); Computer science; Knowledge management; Computer security","score_opus":0.004004860779006518,"score_gpt":0.2143396666630265,"score_spread":0.21033480588401998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396766647","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":[0.039641354,0.00013357794,0.957603,0.00024219115,0.000038378505,0.00003425651,0.000036166286,0.00056976866,0.001701259],"genre_scores_gemma":[0.8919339,0.000081278435,0.10604006,0.00014318714,0.000043894204,0.00007562153,0.00007347868,0.000041279844,0.0015673053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991549,0.00014568662,0.000054893982,0.0002890659,0.00023424011,0.000121184],"domain_scores_gemma":[0.998243,0.00061403576,0.0002469968,0.0003020971,0.00041424538,0.00017964035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015182182,0.0006330509,0.0007419855,0.0004510412,0.00042267406,0.0010094667,0.0018511713,0.000830405,0.0009962782],"category_scores_gemma":[0.0034550042,0.00037292036,0.0005198147,0.00034775137,0.0010702458,0.0014970168,0.0016081693,0.0017116584,0.00022017116],"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":[0.00008206374,0.00018462494,0.0021760205,0.000054742766,0.000074960706,0.00019543474,0.0001979494,0.87099123,0.008019853,0.017401367,0.0011299154,0.0994918],"study_design_scores_gemma":[0.000006881531,0.00003096944,0.00012322936,0.0000028106433,0.0000074679506,0.000013095866,0.000007373482,0.9931351,0.0008340943,0.005552196,0.00028252846,0.0000043390137],"about_ca_topic_score_codex":0.003404924,"about_ca_topic_score_gemma":0.0032050172,"teacher_disagreement_score":0.003404924,"about_ca_system_score_codex":0.000580152,"about_ca_system_score_gemma":0.0012388339,"threshold_uncertainty_score":0.0080292225},"labels":[],"label_agreement":null},{"id":"W4396918193","doi":"10.1109/tvt.2024.3401144","title":"Spectrum Prediction for Mobile Internet of Things Based on a DB-LSTM Algorithm","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Algorithms and Applications","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":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Computer science; Internet of Things; Algorithm; Artificial intelligence; World Wide Web","score_opus":0.004534457369654189,"score_gpt":0.2168418659670378,"score_spread":0.21230740859738362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396918193","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":[0.04224554,0.00067416526,0.95148796,0.00039796584,0.00017834749,0.000043695843,0.00012751587,0.0012780909,0.0035666486],"genre_scores_gemma":[0.8028157,0.00045886755,0.18986599,0.00029237955,0.00007740772,0.00013345359,0.0003953802,0.00008591287,0.0058749584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984884,0.000019105206,0.000011138995,0.00005786459,0.000035582154,0.00002743363],"domain_scores_gemma":[0.99983203,0.00006617175,0.000016127437,0.000010735425,0.000062703475,0.000012227533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032984346,0.0006237122,0.00062657596,0.0003907668,0.00037431644,0.0005647716,0.0008244028,0.00079366297,0.0020407233],"category_scores_gemma":[0.00078702223,0.00032908114,0.0005254105,0.0004973562,0.0002843677,0.0008227211,0.00050399307,0.0009728353,0.0005191829],"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":[0.00017390493,0.00010990181,0.0013491475,0.00011076209,0.00007422647,0.00018394491,0.0000922991,0.7187495,0.008893095,0.0058545615,0.0033422722,0.26106635],"study_design_scores_gemma":[0.000001792108,0.0000071445784,0.000051262217,0.0000023359144,0.000002496143,0.000008993783,0.0000032526175,0.998716,0.0004063983,0.0006489778,0.0001494445,0.0000018817274],"about_ca_topic_score_codex":0.009977807,"about_ca_topic_score_gemma":0.009009106,"teacher_disagreement_score":0.009977807,"about_ca_system_score_codex":0.00056303287,"about_ca_system_score_gemma":0.00082202826,"threshold_uncertainty_score":0.019839466},"labels":[],"label_agreement":null},{"id":"W4398188071","doi":"10.1109/tvt.2024.3403896","title":"A Stability-Guarantee Beamforming Scheme in Multi-Loop Wireless Control Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; Control theory (sociology); Stability (learning theory); Scheme (mathematics); Wireless; Computer science; Control system; Loop (graph theory); Electronic engineering; Control (management); Engineering; Telecommunications; Mathematics; Electrical engineering","score_opus":0.032246536224947185,"score_gpt":0.2875817176421786,"score_spread":0.25533518141723144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398188071","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005019086,0.00013268476,0.99362385,0.00008087568,0.00003300206,0.000024027859,0.000009356275,0.00013042762,0.0009466618],"genre_scores_gemma":[0.8456574,0.00026563223,0.15157962,0.00016853739,0.00008812619,0.00016905251,0.00005117937,0.00003285538,0.0019875544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990889,0.00021073112,0.00007255118,0.00022413113,0.0002933087,0.00011038767],"domain_scores_gemma":[0.9993912,0.00021030594,0.00009351995,0.00006587089,0.00020154049,0.000037514637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011398434,0.0010421268,0.00063642557,0.00033805726,0.0007576043,0.00072752987,0.0010284176,0.00083735684,0.001613542],"category_scores_gemma":[0.001484873,0.0002704227,0.00035912482,0.00045354333,0.00068819773,0.0014634382,0.0009961383,0.000994286,0.00036931437],"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":[0.00046381043,0.00015272968,0.00083997514,0.00034062774,0.00006331788,0.00022623564,0.00046623207,0.5956414,0.07384312,0.080297165,0.0024875812,0.24517785],"study_design_scores_gemma":[0.000034015866,0.00018923772,0.00009465022,0.000011245069,0.000008857014,0.00004476647,0.000015909744,0.9886263,0.0047295718,0.005180107,0.0010499209,0.000015382784],"about_ca_topic_score_codex":0.0019458568,"about_ca_topic_score_gemma":0.0014617981,"teacher_disagreement_score":0.0019458568,"about_ca_system_score_codex":0.0005269754,"about_ca_system_score_gemma":0.0009084589,"threshold_uncertainty_score":0.0060281754},"labels":[],"label_agreement":null},{"id":"W4399039546","doi":"10.1109/tvt.2024.3402740","title":"AoI-Aware Sensing Scheduling and Trajectory Optimization for Multi-UAV-Assisted Wireless Backscatter Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":36,"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 Waterloo","funders":"Info-communications Media Development Authority; National Natural Science Foundation of China; Shenzhen Fundamental Research Program; National Research Foundation Singapore","keywords":"Scheduling (production processes); Wireless; Computer science; Trajectory; Wireless network; Trajectory optimization; Real-time computing; Wireless sensor network; Backscatter (email); Computer network; Engineering; Telecommunications","score_opus":0.015161971864225663,"score_gpt":0.23341773583624353,"score_spread":0.21825576397201787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399039546","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":[0.049949143,0.00038140305,0.9477302,0.00016727782,0.000041829706,0.00002298832,0.00003822199,0.00011168564,0.0015572407],"genre_scores_gemma":[0.9553134,0.00025523995,0.04286663,0.000044335364,0.000027619804,0.000045210745,0.000057316356,0.000023522854,0.0013666982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969375,0.00008492142,0.000011797835,0.00007152355,0.00006536871,0.00007265847],"domain_scores_gemma":[0.9994618,0.00026364016,0.000120628465,0.00003422418,0.00007558217,0.000044249446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005708539,0.0006351425,0.00063034677,0.00025430258,0.00039676938,0.00051959674,0.0007267887,0.00043005217,0.0006335144],"category_scores_gemma":[0.0012508901,0.00032729428,0.0003061272,0.00040734085,0.0004894037,0.0006367196,0.00070591696,0.00053464546,0.000103050224],"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":[0.000030275794,0.000017862754,0.0003776948,0.000018692426,0.000009927993,0.000026193598,0.00002414688,0.9850289,0.0015399839,0.003843729,0.00020342587,0.008879063],"study_design_scores_gemma":[0.0000019500033,0.000011741422,0.00006353094,8.366297e-7,0.0000016619038,0.000003816239,0.0000052165383,0.99887997,0.00017375575,0.0007770175,0.000079109814,0.0000014087616],"about_ca_topic_score_codex":0.007075665,"about_ca_topic_score_gemma":0.005660174,"teacher_disagreement_score":0.007075665,"about_ca_system_score_codex":0.0008787091,"about_ca_system_score_gemma":0.0012742068,"threshold_uncertainty_score":0.014068961},"labels":[],"label_agreement":null},{"id":"W4399074283","doi":"10.1109/tvt.2024.3405955","title":"Manifold Optimization Empowered Two-Timescale Channel Estimation for RIS-Assisted Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","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":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Channel (broadcasting); Manifold (fluid mechanics); Computer science; Electronic engineering; Control theory (sociology); Mathematical optimization; Engineering; Mathematics; Mechanical engineering; Telecommunications; Artificial intelligence","score_opus":0.012083846631084853,"score_gpt":0.25906388587125523,"score_spread":0.24698003924017037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399074283","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":[0.0074068834,0.00018956313,0.99113035,0.00008606014,0.000029208783,0.000012852214,0.000027391583,0.0002241172,0.0008935936],"genre_scores_gemma":[0.7142159,0.0005513868,0.2806596,0.00024626782,0.00014003363,0.00012962807,0.00027864313,0.000097495176,0.003681204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994937,0.00014267728,0.000020366684,0.000105180356,0.0001657439,0.0000723025],"domain_scores_gemma":[0.99924695,0.00034587362,0.00010763901,0.00011131341,0.00014941847,0.000038838323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050384196,0.0009571658,0.00085982383,0.00032173886,0.00036163625,0.00059872953,0.00080880045,0.0007155215,0.0012814746],"category_scores_gemma":[0.0020963477,0.00030680915,0.00046175838,0.0005022685,0.00067896396,0.0013091025,0.0012905839,0.001319384,0.0004752238],"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":[0.00016644817,0.000062715866,0.0007900706,0.00012665185,0.00006685244,0.00015649202,0.00016940199,0.8239053,0.014818233,0.020351255,0.002629063,0.1367575],"study_design_scores_gemma":[0.0000044637686,0.000032411102,0.00008270832,0.0000032091646,0.0000037531604,0.000023293582,0.000009195302,0.99594754,0.0011207459,0.0022061472,0.0005569488,0.000009649375],"about_ca_topic_score_codex":0.0021306167,"about_ca_topic_score_gemma":0.002128275,"teacher_disagreement_score":0.0021306167,"about_ca_system_score_codex":0.0003633742,"about_ca_system_score_gemma":0.0006929939,"threshold_uncertainty_score":0.004286945},"labels":[],"label_agreement":null},{"id":"W4399344039","doi":"10.1109/tvt.2024.3409192","title":"Hybrid Beamforming for mmWave Massive MIMO Systems Using Conditional Generative Adversarial Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; MIMO; Adversarial system; Computer science; Generative grammar; Electronic engineering; Engineering; Telecommunications; Artificial intelligence","score_opus":0.012116027283811606,"score_gpt":0.2214938836085398,"score_spread":0.2093778563247282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399344039","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":[0.009264518,0.00018906356,0.98794633,0.00019028019,0.00002623675,0.000017457687,0.00004386728,0.00020850413,0.0021137095],"genre_scores_gemma":[0.89051306,0.0004433425,0.10254077,0.00040548097,0.00007135655,0.00010511094,0.00018815104,0.000080036356,0.0056526656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996456,0.00014959116,0.000009625398,0.00006248251,0.000082501465,0.00005026034],"domain_scores_gemma":[0.9991905,0.00058704417,0.00006532714,0.000043457247,0.00008257211,0.000031155927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007245571,0.00095211144,0.00055372546,0.00021578024,0.00021468027,0.00054457906,0.00071148964,0.00078638794,0.0018614677],"category_scores_gemma":[0.0015170808,0.0004015256,0.00047837658,0.0003081817,0.00085098273,0.00074130314,0.0009180103,0.0012721301,0.00041366258],"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":[0.00003682432,0.000010310291,0.00023651625,0.00002031366,0.000016436705,0.000040880863,0.000017714206,0.97915137,0.0012418967,0.0071542156,0.00054295495,0.01153061],"study_design_scores_gemma":[0.0000018619979,0.000009109306,0.00002871091,0.0000019591216,0.0000020056937,0.000008716724,0.0000018344804,0.9977639,0.00024108458,0.0018169293,0.000121632096,0.0000021620822],"about_ca_topic_score_codex":0.0021889482,"about_ca_topic_score_gemma":0.0031356583,"teacher_disagreement_score":0.0021889482,"about_ca_system_score_codex":0.0005261738,"about_ca_system_score_gemma":0.00038351896,"threshold_uncertainty_score":0.0062271953},"labels":[],"label_agreement":null},{"id":"W4399406093","doi":"10.1109/tvt.2024.3410520","title":"Performance Comparison Between Coherent and Non-Coherent Approaches for Over-the-Air Computation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computation; Coherence (philosophical gambling strategy); Lagrangian coherent structures; Computer science; Electronic engineering; Physics; Engineering; Algorithm; Quantum mechanics; Meteorology","score_opus":0.04064483333645842,"score_gpt":0.2510045897360504,"score_spread":0.21035975639959198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399406093","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":[0.24875121,0.0041813683,0.7235963,0.0007884841,0.00033426788,0.0002160016,0.00016193501,0.001669041,0.020301538],"genre_scores_gemma":[0.93904895,0.00064030936,0.05759119,0.00016244227,0.00007774378,0.00006557305,0.00013547615,0.00006995369,0.0022084322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837697,0.00048040916,0.00006976843,0.00022742429,0.0005641001,0.00028128986],"domain_scores_gemma":[0.9962423,0.00216914,0.00019884,0.0003930797,0.0008392645,0.00015745223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018113703,0.0006005533,0.00052882225,0.0005301625,0.0006164693,0.0010096596,0.0009712059,0.0006061531,0.0028215717],"category_scores_gemma":[0.007299588,0.0001721052,0.00024502768,0.00058621255,0.00059075514,0.0013130633,0.0014048297,0.00066713896,0.00047327133],"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":[0.004295581,0.00062283274,0.005944844,0.00078431575,0.0002451943,0.00032573362,0.00046423895,0.50853217,0.08586572,0.03741365,0.0075824624,0.34792322],"study_design_scores_gemma":[0.000082695675,0.0007173719,0.0012049011,0.000031485415,0.0000427855,0.00014510912,0.00012545868,0.97640264,0.017304515,0.0023787424,0.001536767,0.000027558772],"about_ca_topic_score_codex":0.0024115613,"about_ca_topic_score_gemma":0.004307338,"teacher_disagreement_score":0.0028215717,"about_ca_system_score_codex":0.00061384536,"about_ca_system_score_gemma":0.001536877,"threshold_uncertainty_score":0.009579539},"labels":[],"label_agreement":null},{"id":"W4399408130","doi":"10.1109/tvt.2024.3410897","title":"Digital Twin-Aided Vehicular Edge Network: A Large-Scale Model Optimization by Quantum-DRL","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Research Chairs; National Science and Technology Council","keywords":"Computer science; Scale (ratio); Enhanced Data Rates for GSM Evolution; Electronic engineering; Computer network; Engineering; Physics; Telecommunications","score_opus":0.00880987740023489,"score_gpt":0.22319206482164872,"score_spread":0.21438218742141382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399408130","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":[0.030560425,0.00022324888,0.96309894,0.00043850817,0.000050749804,0.00003718126,0.00009531119,0.000165998,0.0053296057],"genre_scores_gemma":[0.9346554,0.00021480973,0.059942115,0.00015560565,0.000027881184,0.00013730435,0.00011937994,0.00005902897,0.0046884334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997526,0.00008278885,0.000008310285,0.000057523135,0.00005111254,0.00004760561],"domain_scores_gemma":[0.99958783,0.00022680008,0.000046773926,0.000034765533,0.00006569625,0.00003806423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006623214,0.0006255804,0.0010212653,0.000290439,0.00044330486,0.0010535793,0.0012722004,0.00091081293,0.0021559945],"category_scores_gemma":[0.0015955118,0.00040539232,0.00054686546,0.00040540835,0.0010348009,0.0013689636,0.0014534738,0.0011817827,0.00021380723],"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":[0.000014826526,0.0000080704185,0.0001294595,0.000012100839,0.0000085206475,0.000022408234,0.000011508038,0.98648643,0.0002281376,0.010413575,0.00022429519,0.0024406759],"study_design_scores_gemma":[0.0000018669352,0.000003752163,0.000010015925,8.2648177e-7,0.0000011936698,0.0000018467057,0.0000020497448,0.99772745,0.00003770455,0.0021324132,0.00007977754,0.0000011143812],"about_ca_topic_score_codex":0.008943062,"about_ca_topic_score_gemma":0.0075455485,"teacher_disagreement_score":0.008943062,"about_ca_system_score_codex":0.0012738245,"about_ca_system_score_gemma":0.0014347448,"threshold_uncertainty_score":0.017781973},"labels":[],"label_agreement":null},{"id":"W4399426426","doi":"10.1109/tvt.2024.3410930","title":"Distributed Safe Multi-Agent Reinforcement Learning: Joint Design of THz-Enabled UAV Trajectory and Channel Allocation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":10,"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":"Reinforcement learning; Trajectory; Joint (building); Computer science; Channel (broadcasting); Distributed computing; Terahertz radiation; Channel allocation schemes; Computer network; Engineering; Wireless; Artificial intelligence; Telecommunications; Physics; Optoelectronics","score_opus":0.01587714576691537,"score_gpt":0.21146902425321457,"score_spread":0.1955918784862992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399426426","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026730062,0.00016425845,0.970133,0.00020786702,0.000032529515,0.00004481784,0.000025609894,0.0001876012,0.0024744165],"genre_scores_gemma":[0.9571431,0.000107635926,0.040907428,0.00009403297,0.000012134959,0.00011177826,0.000038870294,0.000021178525,0.0015638086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995741,0.00009871318,0.000019646863,0.00012066307,0.00010560747,0.00008120776],"domain_scores_gemma":[0.9991535,0.00035458736,0.00017602775,0.000054818516,0.00017498115,0.00008604242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008292455,0.0007574088,0.0005677947,0.00023233544,0.00032606442,0.00067472557,0.000998725,0.0007912442,0.0011462638],"category_scores_gemma":[0.0021885254,0.00031541946,0.00040465253,0.00017396828,0.0009205298,0.000591908,0.0012226438,0.0009584351,0.0001760525],"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":[0.00006038419,0.000025561862,0.0005972567,0.00004104153,0.000017797653,0.00009377716,0.00006437519,0.97653276,0.0024614614,0.006306724,0.00032791935,0.013471029],"study_design_scores_gemma":[0.0000065078384,0.000021700078,0.00003445093,0.0000025841503,0.0000029763644,0.000006347246,0.0000059013287,0.99854374,0.00028669208,0.00093882886,0.00014842371,0.0000017746906],"about_ca_topic_score_codex":0.0045429147,"about_ca_topic_score_gemma":0.0032407546,"teacher_disagreement_score":0.0045429147,"about_ca_system_score_codex":0.0007004831,"about_ca_system_score_gemma":0.0013852867,"threshold_uncertainty_score":0.009032965},"labels":[],"label_agreement":null},{"id":"W4399486950","doi":"10.1109/tvt.2024.3411593","title":"Time-Domain Channel Measurements and Small-Scale Fading Characterization for RIS-Assisted Wireless Communication Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; European Research Council; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; European Commission; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Fading; Wireless; Electronic engineering; Channel (broadcasting); Characterization (materials science); Scale (ratio); Computer science; Telecommunications; Materials science; Engineering; Physics","score_opus":0.03688287066222184,"score_gpt":0.26774148985335433,"score_spread":0.23085861919113249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399486950","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":[0.5297719,0.00024219576,0.4609047,0.00011678752,0.000075762444,0.00010883323,0.0005815529,0.0029194723,0.005278756],"genre_scores_gemma":[0.9535574,0.00010939376,0.04538429,0.000042577118,0.000017307239,0.000056960682,0.00027469688,0.000057106558,0.0005003979],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996991,0.00006240879,0.000011523885,0.00004980581,0.00014172778,0.000035456214],"domain_scores_gemma":[0.99951637,0.00010577301,0.000087084954,0.00011557695,0.00015001281,0.000025147574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021788465,0.00040813631,0.00024400052,0.0006060748,0.00016287892,0.0003354459,0.0003498681,0.00030814207,0.0008156251],"category_scores_gemma":[0.00090633944,0.00012343389,0.00015342863,0.00064212194,0.00022945442,0.00051893626,0.0003100596,0.00032185513,0.00033564484],"study_design_candidate":"observational","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":[0.0004879702,0.0002473046,0.025288189,0.0003311435,0.000075572425,0.00032870946,0.0002792054,0.09612471,0.7056814,0.0035110507,0.002365855,0.165279],"study_design_scores_gemma":[0.000045948364,0.0005656207,0.034899127,0.000025957532,0.000057220095,0.000571337,0.00024726862,0.6623952,0.29290453,0.0015237738,0.0066534667,0.00011045336],"about_ca_topic_score_codex":0.00071608427,"about_ca_topic_score_gemma":0.0013432693,"teacher_disagreement_score":0.0008156251,"about_ca_system_score_codex":0.0002635688,"about_ca_system_score_gemma":0.0003178989,"threshold_uncertainty_score":0.0027285814},"labels":[],"label_agreement":null},{"id":"W4399602276","doi":"10.1109/tvt.2024.3413849","title":"HybridSecNet: In-Vehicle Security on Controller Area Networks Through a Hybrid Two-Step LSTM-CNN Model","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":26,"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; Controller (irrigation); Artificial intelligence; Control engineering; Control theory (sociology); Engineering; Control (management)","score_opus":0.007775806804870231,"score_gpt":0.2181342923990953,"score_spread":0.21035848559422507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399602276","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":[0.14411384,0.0024015803,0.81818175,0.0011557328,0.00072276854,0.00023178417,0.0008961615,0.010960086,0.021336298],"genre_scores_gemma":[0.9101759,0.00065199705,0.06783687,0.0004918393,0.00006547602,0.00015083107,0.0012743721,0.00013413785,0.019218514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998745,0.000011432145,0.0000053191848,0.00003841753,0.0000336078,0.00003668229],"domain_scores_gemma":[0.9998801,0.000027077063,0.000013009657,0.000014341828,0.000053634114,0.000011828675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024660994,0.0009974611,0.00038066684,0.00032642146,0.00021823187,0.00051949074,0.0012552842,0.0007845288,0.0025785607],"category_scores_gemma":[0.00044573672,0.00029571398,0.00045398972,0.00025356218,0.0003038464,0.0011098007,0.00071068935,0.0009998555,0.0008008422],"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":[0.00026012,0.00017498297,0.0023450542,0.00012062679,0.00015033937,0.00020994914,0.00005136911,0.7432311,0.011734841,0.0052350312,0.009556791,0.22692972],"study_design_scores_gemma":[0.0000038019043,0.000033118307,0.00013993777,0.0000052999044,0.000011785734,0.000013538892,0.0000045134952,0.99642795,0.0019210532,0.0007158588,0.00071909116,0.0000040260375],"about_ca_topic_score_codex":0.015073308,"about_ca_topic_score_gemma":0.019651338,"teacher_disagreement_score":0.015073308,"about_ca_system_score_codex":0.0008887935,"about_ca_system_score_gemma":0.0010671894,"threshold_uncertainty_score":0.029971123},"labels":[],"label_agreement":null},{"id":"W4399666533","doi":"10.1109/tvt.2024.3414447","title":"Resource Allocation for Dynamic Platoon Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Method","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Resource allocation; Computer science; Platoon; Distributed computing; Resource management (computing); Artificial intelligence; Computer network; Control (management)","score_opus":0.011624272068028872,"score_gpt":0.25051474677347824,"score_spread":0.23889047470544936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399666533","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":[0.036670465,0.00038686936,0.9586618,0.0005337325,0.00005401494,0.00004805109,0.000046176672,0.00030461437,0.0032942654],"genre_scores_gemma":[0.8851494,0.00019890576,0.10955306,0.00030074042,0.000046553872,0.00016718583,0.00011060736,0.000062941515,0.0044106874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997291,0.00009111798,0.0000120106615,0.000061454324,0.00004750263,0.000058717247],"domain_scores_gemma":[0.99916565,0.00053698395,0.000078313584,0.000030522413,0.000121827026,0.00006678512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009596477,0.00066112005,0.0010610117,0.00039887396,0.00031879792,0.00063668436,0.0012860047,0.0010354749,0.0020476962],"category_scores_gemma":[0.0020123483,0.0004330889,0.0004426054,0.00033875022,0.0006669616,0.00084392325,0.00088751945,0.0012192932,0.00021118346],"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":[0.00003380561,0.000032742035,0.00044328853,0.000024046503,0.00001984515,0.000037033744,0.000026106563,0.9772096,0.00033357067,0.0041029975,0.00055450056,0.017182453],"study_design_scores_gemma":[0.0000021833814,0.0000026247892,0.00001095206,9.930411e-7,0.0000011033152,0.0000010520722,0.0000012006519,0.99933916,0.000023316781,0.000573239,0.00004346894,6.269629e-7],"about_ca_topic_score_codex":0.011597799,"about_ca_topic_score_gemma":0.008402959,"teacher_disagreement_score":0.011597799,"about_ca_system_score_codex":0.0011424398,"about_ca_system_score_gemma":0.0014430501,"threshold_uncertainty_score":0.02306062},"labels":[],"label_agreement":null},{"id":"W4399849954","doi":"10.1109/tvt.2024.3415664","title":"Adaptive Synthesized Fault-Tolerant Autonomous Ground Vehicle Control With Guaranteed Performance and Saturated Input","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Fault tolerance; Adaptive control; Control (management); Control theory (sociology); Computer science; Control engineering; Engineering; Reliability engineering","score_opus":0.004665341442701796,"score_gpt":0.18198443981297618,"score_spread":0.17731909837027438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399849954","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":[0.093426205,0.00022901605,0.9019408,0.00009489071,0.00008012148,0.0000412007,0.000034587298,0.0004316222,0.0037214656],"genre_scores_gemma":[0.98781824,0.000053077947,0.011131001,0.000023325372,0.000010542414,0.000040312425,0.000035872297,0.000009646532,0.0008778494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997663,0.00003374341,0.000012505332,0.000053068925,0.000100338904,0.00003402821],"domain_scores_gemma":[0.999686,0.000077970035,0.0000885317,0.000023028586,0.000109211695,0.000015349564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002663473,0.00064697425,0.00039054058,0.00019869392,0.00021944457,0.00043258342,0.0005845519,0.00041461678,0.00060849916],"category_scores_gemma":[0.0005989387,0.0001254181,0.00025299302,0.00017069642,0.00037231614,0.00033756788,0.0003901008,0.00035195827,0.00009183621],"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":[0.00021788683,0.00004622866,0.0005752204,0.00021286,0.000035440415,0.00021047381,0.00020895383,0.88066083,0.05324504,0.008852638,0.0005709245,0.055163458],"study_design_scores_gemma":[0.000015985159,0.00016880305,0.00020476426,0.000005291781,0.000006887509,0.000021734882,0.000009972121,0.9941571,0.004288946,0.0006403752,0.00047597178,0.000004239295],"about_ca_topic_score_codex":0.0035131956,"about_ca_topic_score_gemma":0.0020053487,"teacher_disagreement_score":0.0035131956,"about_ca_system_score_codex":0.00040284454,"about_ca_system_score_gemma":0.00056735304,"threshold_uncertainty_score":0.0069854856},"labels":[],"label_agreement":null},{"id":"W4399908422","doi":"10.1109/tvt.2024.3404817","title":"Energy Efficiency Maximization for Downlink NOMA Designs via Symbol-Level Precoding","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","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":"Western University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province","keywords":"Precoding; Telecommunications link; Noma; Maximization; Computer science; Efficient energy use; Energy (signal processing); Zero-forcing precoding; Electronic engineering; Telecommunications; Engineering; Electrical engineering; MIMO; Mathematics; Mathematical optimization; Channel (broadcasting); Statistics","score_opus":0.026485204385013502,"score_gpt":0.24616655502848,"score_spread":0.2196813506434665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399908422","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":[0.016762793,0.0002789092,0.9758839,0.0001238742,0.00002167029,0.000030597686,0.000032820266,0.0000741506,0.006791269],"genre_scores_gemma":[0.64564764,0.00078601233,0.34960544,0.00016486165,0.00007608864,0.00022034034,0.00010374971,0.000048542974,0.0033472874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939,0.0002943427,0.000020990185,0.000058210117,0.00016763035,0.00006880316],"domain_scores_gemma":[0.9994623,0.00030813678,0.000067008616,0.000051168794,0.00009349423,0.000017924667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069524173,0.00076062314,0.00060464913,0.00045587678,0.00041940034,0.00090763357,0.00046180285,0.00050817785,0.0013277321],"category_scores_gemma":[0.0018848905,0.00027702574,0.00045164375,0.0009067367,0.0005121417,0.00051634805,0.00070169213,0.00055836525,0.00044339788],"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":[0.0001333721,0.00008579738,0.0007154611,0.00017626116,0.000050900257,0.00013306693,0.00014256786,0.82274824,0.019854872,0.06257515,0.002383054,0.091001265],"study_design_scores_gemma":[0.000008141113,0.000052621235,0.00010635703,0.000008323657,0.0000072386742,0.00004965079,0.000019880696,0.98830867,0.0024312295,0.00801209,0.0009890118,0.0000069003695],"about_ca_topic_score_codex":0.0005755852,"about_ca_topic_score_gemma":0.000980613,"teacher_disagreement_score":0.0013277321,"about_ca_system_score_codex":0.0004933153,"about_ca_system_score_gemma":0.00071777386,"threshold_uncertainty_score":0.0044416785},"labels":[],"label_agreement":null},{"id":"W4399939558","doi":"10.1109/tvt.2024.3418349","title":"GRU-Attention Model for Linearizing Millimeter-Wave Transmitters in Vehicle to Satellite Communication Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","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":"Concordia University","funders":"Science and Technology Innovation 2025 Major Project of Ningbo; National Natural Science Foundation of China","keywords":"Communications satellite; Satellite; Extremely high frequency; Transmitter; Atmospheric model; Computer science; Telecommunications; Millimeter; Communications system; Engineering; Aerospace engineering; Meteorology; Physics","score_opus":0.03169068555592956,"score_gpt":0.2537685636204488,"score_spread":0.22207787806451923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399939558","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":[0.05105846,0.0010234164,0.93707097,0.0003479456,0.00011505948,0.000050615625,0.000103479055,0.00075026735,0.009479811],"genre_scores_gemma":[0.9706999,0.00044399785,0.019272815,0.00013509387,0.000045435117,0.0001098342,0.0001025009,0.000063100866,0.009127202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972564,0.000058268215,0.000016724927,0.000072352595,0.00007365202,0.000053402957],"domain_scores_gemma":[0.9997696,0.00008704473,0.0000397979,0.000012859527,0.000079545985,0.000011209467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038606414,0.0008662014,0.00058733916,0.00025480957,0.0003756604,0.0005939031,0.0011425316,0.0009166499,0.0023609474],"category_scores_gemma":[0.00083961914,0.00036340728,0.000787714,0.00024567425,0.00057172996,0.00066019606,0.0005392635,0.0010568313,0.00052982377],"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":[0.000054431523,0.000024277879,0.0006029607,0.000057371577,0.000040405812,0.0001358338,0.00008353225,0.9701351,0.00535092,0.0053531886,0.00073039846,0.017431565],"study_design_scores_gemma":[0.0000017405446,0.000017812232,0.000052703323,0.0000023789514,0.0000065397994,0.000009510708,0.0000034798957,0.998982,0.0003530645,0.00040112625,0.00016680139,0.0000027886836],"about_ca_topic_score_codex":0.013647224,"about_ca_topic_score_gemma":0.009714524,"teacher_disagreement_score":0.013647224,"about_ca_system_score_codex":0.00070452347,"about_ca_system_score_gemma":0.00052737206,"threshold_uncertainty_score":0.02713561},"labels":[],"label_agreement":null},{"id":"W4399939585","doi":"10.1109/tvt.2024.3418039","title":"An Efficient Two-Layer Optimal Torque Split Strategy for PHEV Considering Time-Delay Compensation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China","keywords":"Torque; Control theory (sociology); Compensation (psychology); Layer (electronics); Computer science; Engineering; Materials science; Control (management); Physics","score_opus":0.012507779570951153,"score_gpt":0.2581605677746834,"score_spread":0.24565278820373224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399939585","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":[0.052156687,0.00033655608,0.9419064,0.0001516183,0.00009097571,0.000071860384,0.000022499562,0.00029092186,0.004972516],"genre_scores_gemma":[0.98465204,0.00007544708,0.013894308,0.000034309942,0.00001694469,0.000042658958,0.000018484483,0.000007926925,0.0012579119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997583,0.000035165234,0.00001547631,0.00006463597,0.000068893336,0.000057468682],"domain_scores_gemma":[0.99984145,0.000033497385,0.000033486907,0.000016286773,0.000056936267,0.000018220899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034170153,0.00079559156,0.0005840893,0.000251993,0.0005229092,0.0008190856,0.000874137,0.00050268136,0.001150649],"category_scores_gemma":[0.00043661214,0.00026102577,0.000397945,0.00019515354,0.00040009967,0.00073769497,0.00073518953,0.0005401019,0.00016433535],"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":[0.00040668968,0.00014981351,0.0010834596,0.00024032641,0.00008036747,0.000312576,0.00024976075,0.80775964,0.043232244,0.014216019,0.0018050101,0.13046406],"study_design_scores_gemma":[0.000021462265,0.00015419578,0.0001604387,0.000005120348,0.000010466918,0.000026519781,0.00001858618,0.9952193,0.0027612685,0.0011738872,0.00044064724,0.000008031489],"about_ca_topic_score_codex":0.0050238403,"about_ca_topic_score_gemma":0.0036391146,"teacher_disagreement_score":0.0050238403,"about_ca_system_score_codex":0.0004704738,"about_ca_system_score_gemma":0.0009126694,"threshold_uncertainty_score":0.009989202},"labels":[],"label_agreement":null},{"id":"W4399939628","doi":"10.1109/tvt.2024.3418137","title":"RSMS: Towards Reliable and Secure Metaverse Service Provision","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"Service (business); Computer science; Business; Marketing","score_opus":0.009389666171178455,"score_gpt":0.2307702052174858,"score_spread":0.22138053904630736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399939628","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":[0.026316838,0.0011523509,0.9472615,0.0021510134,0.00032394618,0.00042567347,0.00016928262,0.013400039,0.0087993825],"genre_scores_gemma":[0.5298709,0.0014608684,0.45102525,0.0009619083,0.00047747671,0.00042594533,0.00063834427,0.0007718815,0.014367321],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961067,0.00087382563,0.0003195076,0.00049838255,0.0016960679,0.00050550053],"domain_scores_gemma":[0.99514186,0.00063210184,0.0005301739,0.002102856,0.0011021745,0.00049080735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049964236,0.0008705855,0.0007942458,0.001655457,0.0012747087,0.0044766855,0.0041505382,0.003112927,0.0037997712],"category_scores_gemma":[0.00635222,0.0007591611,0.0009186092,0.0010944142,0.0019424009,0.0068451487,0.007748194,0.002866158,0.003352628],"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":[0.0013073471,0.00045811807,0.004192473,0.0010440001,0.00022906307,0.0014123105,0.002032868,0.06189581,0.07548407,0.3881408,0.044577666,0.41922557],"study_design_scores_gemma":[0.00014021822,0.00039294042,0.0011756193,0.00022526429,0.000100552264,0.0007636817,0.0008216626,0.7034162,0.060333062,0.08269607,0.14978012,0.00015457933],"about_ca_topic_score_codex":0.0031745082,"about_ca_topic_score_gemma":0.0023432986,"teacher_disagreement_score":0.0049964236,"about_ca_system_score_codex":0.0015807532,"about_ca_system_score_gemma":0.0030930114,"threshold_uncertainty_score":0.026423931},"labels":[],"label_agreement":null},{"id":"W4400073990","doi":"10.1109/tvt.2024.3420159","title":"Hierarchical Trajectory Planning Based on Adaptive Motion Primitives and Bilevel Corridor","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Trajectory; Computer science; Motion planning; Motion (physics); Bilevel optimization; Artificial intelligence; Algorithm; Physics","score_opus":0.021758685065468693,"score_gpt":0.25407009470081426,"score_spread":0.23231140963534558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400073990","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":[0.0066181286,0.000050202383,0.99235934,0.000024654042,0.000006412388,0.000022620887,0.000033325025,0.000262986,0.0006222685],"genre_scores_gemma":[0.51408386,0.00017159003,0.48268315,0.000033953107,0.000013661491,0.0002089682,0.0003482795,0.00015319278,0.0023032795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996995,0.0000614163,0.00001788457,0.00007428242,0.00010380506,0.0000431356],"domain_scores_gemma":[0.9997135,0.000099321514,0.000051215735,0.000045012417,0.000055946355,0.000035069315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003485094,0.0007586443,0.0006914888,0.0007930007,0.00046033048,0.00055456575,0.0012299247,0.0005436629,0.0016323554],"category_scores_gemma":[0.0009715627,0.0004428922,0.0008244637,0.0008048536,0.0005307169,0.00093134394,0.0012834747,0.0009134341,0.00033641438],"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":[0.00003626859,0.000014656014,0.00033051614,0.00003547055,0.000017048716,0.000050693736,0.00006181338,0.9509702,0.0026677838,0.00943854,0.00045731483,0.03591964],"study_design_scores_gemma":[0.0000026374812,0.000012889735,0.00004125833,0.00000220299,0.0000020147963,0.000010588025,0.0000048629004,0.9976889,0.00033697856,0.0015739443,0.0003200783,0.0000037093419],"about_ca_topic_score_codex":0.009059466,"about_ca_topic_score_gemma":0.007774365,"teacher_disagreement_score":0.009059466,"about_ca_system_score_codex":0.00066506467,"about_ca_system_score_gemma":0.0013499014,"threshold_uncertainty_score":0.018013477},"labels":[],"label_agreement":null},{"id":"W4400074185","doi":"10.1109/tvt.2024.3419720","title":"SDOR Analysis for Task Offloading in Smart Farm Secure UAV-Assisted Communication Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and 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":"Nokia (Canada); Bell (Canada); University of Ottawa","funders":"","keywords":"Computer science; Task (project management); Embedded system; Computer network; Engineering; Systems engineering","score_opus":0.00864834043326494,"score_gpt":0.22504004809588135,"score_spread":0.21639170766261642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400074185","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":[0.10062405,0.00094843947,0.8859542,0.00035414207,0.00007003756,0.00007891058,0.0002807769,0.00032002066,0.0113693075],"genre_scores_gemma":[0.98748326,0.00051177724,0.009560998,0.00007008644,0.000027244629,0.00006197062,0.000112887086,0.000058126476,0.0021137667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913776,0.00018935163,0.000048765778,0.00011035803,0.00028576932,0.00022800622],"domain_scores_gemma":[0.9965965,0.0020268168,0.00044624793,0.00018683258,0.0006652748,0.00007835873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013056949,0.0008640136,0.00076860085,0.00075220905,0.00050474086,0.0010708618,0.00054141524,0.0005161613,0.002672401],"category_scores_gemma":[0.00561578,0.00025791838,0.0005326863,0.00061318575,0.0008685755,0.0013027479,0.0010761869,0.00077285885,0.00034281352],"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":[0.000050042385,0.000016566559,0.00069939095,0.00008363571,0.000014083222,0.00010050079,0.00006497667,0.97449785,0.003344365,0.015303741,0.00048462636,0.0053402605],"study_design_scores_gemma":[0.0000011277167,0.000012067195,0.00011239171,0.000004586441,0.0000024603871,0.00001363193,0.000019780562,0.9977537,0.00036683376,0.0016004085,0.00010999567,0.0000031517247],"about_ca_topic_score_codex":0.0051087006,"about_ca_topic_score_gemma":0.0023158058,"teacher_disagreement_score":0.0051087006,"about_ca_system_score_codex":0.0014035171,"about_ca_system_score_gemma":0.0012114467,"threshold_uncertainty_score":0.010183215},"labels":[],"label_agreement":null},{"id":"W4400111976","doi":"10.1109/tvt.2024.3420779","title":"IRS-Aided Secure Reliable Underwater Acoustic Communications","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Underwater acoustic communication; Underwater; Computer science; Acoustics; Telecommunications; Geology; Physics","score_opus":0.015130533400371073,"score_gpt":0.2329671060182799,"score_spread":0.21783657261790884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400111976","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":[0.052472603,0.00046433636,0.9340172,0.00022430082,0.000063384054,0.000030339697,0.00011495992,0.0005648427,0.012048117],"genre_scores_gemma":[0.94682115,0.00039039555,0.047978964,0.00005066634,0.000027773824,0.000039029033,0.00009425578,0.00003054247,0.004567241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995735,0.00011271091,0.00001578163,0.00004207211,0.00018825998,0.00006769788],"domain_scores_gemma":[0.99933344,0.00035236296,0.000107882144,0.00007302554,0.000112730275,0.000020500598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059837213,0.0004976016,0.00049475697,0.0003393029,0.0003630539,0.00062341115,0.0005889567,0.00045357464,0.002419385],"category_scores_gemma":[0.0014310626,0.00025361395,0.00027952893,0.00056607986,0.0005503595,0.0010898614,0.0014819787,0.00056293735,0.00072858314],"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":[0.000074986856,0.000017112123,0.00042414494,0.00008951869,0.000013372271,0.00014805332,0.00006744394,0.92988545,0.009685073,0.02201199,0.0012908571,0.03629205],"study_design_scores_gemma":[0.000004219948,0.00002713382,0.000053872984,0.000004714872,0.0000028661636,0.00003171469,0.000022356846,0.9935634,0.002337224,0.0031551656,0.00079243345,0.0000048532593],"about_ca_topic_score_codex":0.0012379611,"about_ca_topic_score_gemma":0.0015970218,"teacher_disagreement_score":0.002419385,"about_ca_system_score_codex":0.00037726943,"about_ca_system_score_gemma":0.0008399364,"threshold_uncertainty_score":0.008093655},"labels":[],"label_agreement":null},{"id":"W4400188695","doi":"10.1109/tvt.2024.3420245","title":"Cell Switching in HAPS-Aided Networking: How the Obscurity of Traffic Loads Affects the Decision","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":4,"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":"Global Affairs Canada","keywords":"Computer network; Computer science; Engineering","score_opus":0.008557025919657577,"score_gpt":0.20888025229273774,"score_spread":0.20032322637308017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400188695","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":[0.39886656,0.00056682527,0.5923079,0.0006314697,0.000093928626,0.000070354596,0.0000849125,0.0002474145,0.0071306042],"genre_scores_gemma":[0.9831964,0.00014948621,0.015288182,0.000067667395,0.00002689088,0.000018737766,0.00003581669,0.000017306744,0.0011995684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920255,0.0002369303,0.000022297749,0.00016848046,0.0002078449,0.00016195548],"domain_scores_gemma":[0.996179,0.0029030268,0.0002905277,0.0001705491,0.00035775176,0.00009913964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013607265,0.0006395016,0.00060759916,0.00028660422,0.0005655872,0.0012809132,0.0011019113,0.00071458693,0.0013486024],"category_scores_gemma":[0.008268168,0.00027473664,0.00022417172,0.0003656712,0.0008359453,0.0013119845,0.0010022259,0.000979151,0.00018733993],"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":[0.00023148874,0.00008990258,0.004490335,0.000069867056,0.000039364964,0.00015372607,0.0002242083,0.9150405,0.004610716,0.013725395,0.000819525,0.060504977],"study_design_scores_gemma":[0.0000031148402,0.000031527637,0.0005093632,0.0000049120144,0.000007849392,0.000023803714,0.00003960045,0.9952839,0.001285921,0.0026296321,0.00017406112,0.000006290008],"about_ca_topic_score_codex":0.006901462,"about_ca_topic_score_gemma":0.004766268,"teacher_disagreement_score":0.006901462,"about_ca_system_score_codex":0.0009787789,"about_ca_system_score_gemma":0.0011229754,"threshold_uncertainty_score":0.013722599},"labels":[],"label_agreement":null},{"id":"W4400314781","doi":"10.1109/tvt.2024.3422276","title":"Active IRS Aided Secure Transmission With Hybrid Beamforming","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Electronic engineering; Transmission (telecommunications); Computer science; Electrical engineering; Engineering; Computer network; Telecommunications","score_opus":0.005593312055323071,"score_gpt":0.21548374302261775,"score_spread":0.20989043096729468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400314781","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028985258,0.00023900255,0.96439505,0.00019651957,0.00005158451,0.000030297535,0.000043535973,0.00026034564,0.005798434],"genre_scores_gemma":[0.78766316,0.00043967165,0.20645864,0.00015450959,0.00005494292,0.00010275981,0.00009637625,0.00002625815,0.005003657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953854,0.0001403939,0.000020400723,0.00007142179,0.00015462693,0.00007457963],"domain_scores_gemma":[0.9997303,0.000103153965,0.000050184175,0.000042460455,0.000055364406,0.000018442495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038090805,0.0010179557,0.0005704511,0.00030676878,0.00033279523,0.0006444919,0.0005089471,0.00059947674,0.0018509455],"category_scores_gemma":[0.00064126786,0.00023941873,0.00052569655,0.0006112916,0.0006618469,0.0009481578,0.0012011685,0.0006102907,0.000642846],"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":[0.00061726524,0.00013206652,0.0013173512,0.00020146814,0.00010650582,0.00055345177,0.00023863885,0.47814044,0.22478223,0.06929159,0.0027882233,0.22183071],"study_design_scores_gemma":[0.000040833234,0.00018560064,0.0001576134,0.000013091586,0.000025106294,0.0001915653,0.000044349676,0.9656553,0.025709067,0.0062004863,0.001745803,0.00003113238],"about_ca_topic_score_codex":0.00049061695,"about_ca_topic_score_gemma":0.00083393924,"teacher_disagreement_score":0.0018509455,"about_ca_system_score_codex":0.00028831052,"about_ca_system_score_gemma":0.0005322265,"threshold_uncertainty_score":0.006191969},"labels":[],"label_agreement":null},{"id":"W4400526109","doi":"10.1109/tvt.2024.3421285","title":"Similarities Between Wheels and Tracks: A “Tire Model” for Tracked Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Automotive engineering; Vehicle safety; Vehicle dynamics; Computer science; Engineering","score_opus":0.010780436631241615,"score_gpt":0.21912637273649058,"score_spread":0.20834593610524896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400526109","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":[0.069335535,0.00044506064,0.90472835,0.00042561072,0.00014256549,0.00007037575,0.00038447004,0.00019273588,0.02427526],"genre_scores_gemma":[0.95267594,0.00061405136,0.02682813,0.00014344329,0.00009599957,0.00014017805,0.0003629238,0.0000773803,0.019061953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997187,0.000050087874,0.000011007223,0.00008517529,0.0000889901,0.000045991193],"domain_scores_gemma":[0.9998412,0.0000309627,0.00003795225,0.000032588618,0.000036642992,0.000020683163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002423964,0.00040110652,0.00048272594,0.0005599097,0.00045553036,0.001013968,0.0013983552,0.0011116794,0.0031884962],"category_scores_gemma":[0.0006177279,0.00032860495,0.0009208416,0.00043471713,0.000988168,0.0015338222,0.0010813263,0.00071415765,0.00070451037],"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":[0.000049924965,0.000051871837,0.0015800522,0.000057374084,0.000039826053,0.00024036587,0.00023894015,0.83978516,0.0054593165,0.13858992,0.0013379676,0.012569332],"study_design_scores_gemma":[0.000006732701,0.000030006115,0.00051305763,0.0000052475543,0.000008228649,0.000034639146,0.000039537164,0.9818626,0.00019143982,0.013955958,0.0033423014,0.000010156898],"about_ca_topic_score_codex":0.012729178,"about_ca_topic_score_gemma":0.006499458,"teacher_disagreement_score":0.012729178,"about_ca_system_score_codex":0.00070086407,"about_ca_system_score_gemma":0.0006893924,"threshold_uncertainty_score":0.025310159},"labels":[],"label_agreement":null},{"id":"W4400647457","doi":"10.1109/tvt.2024.3427683","title":"Enhancing Energy Management Strategy for Battery Electric Vehicles: Incorporating Cell Balancing and Multi-Agent Twin Delayed Deep Deterministic Policy Gradient Architecture","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Trois-Rivières; Carleton University","funders":"","keywords":"Architecture; Battery (electricity); Energy management; Computer science; Energy (signal processing); Engineering; Automotive engineering; Power (physics)","score_opus":0.009847592377799114,"score_gpt":0.24946179171005792,"score_spread":0.2396141993322588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400647457","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":[0.081827104,0.00048659428,0.9096473,0.00035293898,0.00010918847,0.00006227265,0.000047927446,0.0008866456,0.0065800236],"genre_scores_gemma":[0.9724214,0.00007496102,0.025365535,0.00011518992,0.00001545152,0.00004679158,0.000038464677,0.00002417648,0.0018979522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998479,0.000031411266,0.000007588757,0.000039286184,0.000040188686,0.000033618],"domain_scores_gemma":[0.9997843,0.00006344744,0.00003474306,0.000018514264,0.00007233517,0.000026646532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043004824,0.0006345559,0.00046582302,0.00021003284,0.00022423992,0.0005780198,0.0009401104,0.0005443528,0.0011536891],"category_scores_gemma":[0.00093765487,0.00024475265,0.000271391,0.00014018465,0.00035655484,0.0005571032,0.00062008126,0.0006533907,0.0002674999],"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":[0.00006948973,0.000074198855,0.0011770953,0.00003909748,0.00003369591,0.00006495849,0.00003523476,0.94204324,0.0046777986,0.0023268997,0.00073537446,0.048722927],"study_design_scores_gemma":[0.0000037864343,0.000028063741,0.000082544364,0.0000018969104,0.0000037649017,0.0000060828847,0.0000027704048,0.9988232,0.0004414994,0.00041541335,0.00018856772,0.0000023083403],"about_ca_topic_score_codex":0.005314267,"about_ca_topic_score_gemma":0.0065850317,"teacher_disagreement_score":0.005314267,"about_ca_system_score_codex":0.0004916122,"about_ca_system_score_gemma":0.0008023443,"threshold_uncertainty_score":0.010566652},"labels":[],"label_agreement":null},{"id":"W4400771720","doi":"10.1109/tvt.2024.3429507","title":"Joint Data Caching and Computation Offloading in UAV-Assisted Internet of Vehicles via Federated Deep Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":63,"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 Windsor","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Reinforcement learning; Computer science; Computation offloading; Joint (building); The Internet; Computation; Computer network; Artificial intelligence; Internet of Things; Embedded system; Engineering; World Wide Web; Edge computing","score_opus":0.02812423264757062,"score_gpt":0.26579566146590483,"score_spread":0.2376714288183342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400771720","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":[0.22712815,0.0006828568,0.7667992,0.00043673252,0.000090753434,0.00006841758,0.000068219124,0.0014783462,0.0032473707],"genre_scores_gemma":[0.98227614,0.000056259512,0.016592238,0.000101632846,0.000009376818,0.000036172667,0.000057524612,0.000021609247,0.0008490463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966705,0.0000637704,0.000015350386,0.00009358207,0.000060139097,0.00010010081],"domain_scores_gemma":[0.99931824,0.0003179426,0.0000945788,0.00006830509,0.00012913687,0.000071803275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060468254,0.000771423,0.0009970987,0.00021862173,0.00036989173,0.00067154784,0.0011884505,0.000819267,0.00062026887],"category_scores_gemma":[0.0017092492,0.00033928157,0.0003529709,0.00025799658,0.00067317096,0.000726446,0.00090083067,0.00097179826,0.00011257291],"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":[0.00010434206,0.00009072574,0.0009883418,0.0000280456,0.00002432256,0.00007446275,0.00003751163,0.97039425,0.0014532123,0.0010391367,0.0005727098,0.025192987],"study_design_scores_gemma":[0.000004152053,0.0000115493085,0.000041153184,9.93987e-7,0.000001897869,0.0000030937085,0.0000029632947,0.99945766,0.00016124819,0.0002775487,0.000036665737,0.0000012028127],"about_ca_topic_score_codex":0.015342561,"about_ca_topic_score_gemma":0.01272632,"teacher_disagreement_score":0.015342561,"about_ca_system_score_codex":0.00083587447,"about_ca_system_score_gemma":0.0014316358,"threshold_uncertainty_score":0.030506492},"labels":[],"label_agreement":null},{"id":"W4400772157","doi":"10.1109/tvt.2024.3430507","title":"Electric Vehicle Cluster Assisted Multi-Tier Vehicular Edge Computing System: Cross-System Framework Design and Optimization","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":10,"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":"Natural Science Foundation of Beijing Municipality; China Scholarship Council; National Natural Science Foundation of China","keywords":"Computer science; Cluster (spacecraft); Electric vehicle; Enhanced Data Rates for GSM Evolution; Computer architecture; Embedded system; Engineering; Computer network; Telecommunications; Power (physics)","score_opus":0.01648450609465903,"score_gpt":0.25678045551357676,"score_spread":0.24029594941891771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400772157","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":[0.031028124,0.0006601044,0.95500237,0.0003520699,0.000071358205,0.00018936564,0.00008728344,0.00046855796,0.012140727],"genre_scores_gemma":[0.92487663,0.0004871877,0.069321945,0.00012631282,0.000038233215,0.00024871365,0.00011633287,0.00006904145,0.0047156196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940157,0.00015857202,0.000019404197,0.00011664257,0.00015243744,0.00015128133],"domain_scores_gemma":[0.99969983,0.0000751382,0.00003273932,0.000022271772,0.00012742433,0.000042635424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072853727,0.0009776014,0.0008217409,0.00036605733,0.00061000686,0.001566683,0.0013465476,0.0006638925,0.002800176],"category_scores_gemma":[0.0007232329,0.00042135775,0.0005955935,0.000556403,0.0005136844,0.0008972376,0.0015628753,0.00073514075,0.00038571615],"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":[0.000028412704,0.000024375022,0.00033089807,0.000038272978,0.000020734571,0.00006170619,0.00002210693,0.9818678,0.0014875326,0.005353525,0.0007420313,0.010022707],"study_design_scores_gemma":[0.0000021776632,0.000017790382,0.000037146823,0.0000015157342,0.0000040822583,0.0000076019946,0.000009897393,0.9989191,0.00016320618,0.00055971195,0.00027514363,0.0000025367267],"about_ca_topic_score_codex":0.010504955,"about_ca_topic_score_gemma":0.01144702,"teacher_disagreement_score":0.010504955,"about_ca_system_score_codex":0.0013282886,"about_ca_system_score_gemma":0.0023013023,"threshold_uncertainty_score":0.020887613},"labels":[],"label_agreement":null},{"id":"W4401163800","doi":"10.1109/tvt.2024.3423718","title":"Communication-Efficient and Privacy-Preserving Federated Learning via Joint Knowledge Distillation and Differential Privacy in Bandwidth-Constrained Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Differential privacy; Computer science; Bandwidth (computing); Joint (building); Privacy protection; Information privacy; Distillation; Computer network; Computer security; Engineering; Data mining","score_opus":0.015519891202214604,"score_gpt":0.2533257403152893,"score_spread":0.2378058491130747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401163800","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":[0.02897932,0.00020167216,0.967907,0.00063401106,0.000026953216,0.000033650966,0.00008844719,0.00087594625,0.001252969],"genre_scores_gemma":[0.8748882,0.00017922233,0.1216755,0.00038226586,0.00004420746,0.000109670465,0.00021707566,0.000103695565,0.0024002127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969501,0.0011433298,0.00016141881,0.0006289102,0.00064056565,0.00047568645],"domain_scores_gemma":[0.99368495,0.0038862003,0.00044972994,0.001324688,0.00045401862,0.0002003286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00334254,0.00087908463,0.0016994696,0.0006744061,0.0010713689,0.0023755287,0.0028150962,0.0019397746,0.0011554147],"category_scores_gemma":[0.012849345,0.0006664587,0.0008693765,0.0012810469,0.0023188463,0.005037148,0.004086474,0.0031030625,0.00031853843],"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":[0.00048500331,0.00014645795,0.0008073446,0.00007917167,0.000058429996,0.0001509519,0.00017226677,0.8587025,0.0024837046,0.04857861,0.002241293,0.0860942],"study_design_scores_gemma":[0.000009838958,0.000016499578,0.00004238863,0.0000036337449,0.000004222589,0.000018683244,0.000009516641,0.9747253,0.0011749264,0.023806544,0.0001828797,0.000005551542],"about_ca_topic_score_codex":0.0053046364,"about_ca_topic_score_gemma":0.0043057716,"teacher_disagreement_score":0.0053046364,"about_ca_system_score_codex":0.0023344473,"about_ca_system_score_gemma":0.0026932764,"threshold_uncertainty_score":0.017677248},"labels":[],"label_agreement":null},{"id":"W4401539904","doi":"10.1109/tvt.2024.3442929","title":"NOMA-Enhanced Cooperative Relaying Systems in Drone-Enabled IoV: Capacity Analysis and Height Optimization","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":24,"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":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Foundation for Innovation","keywords":"Drone; Noma; Computer science; Electronic engineering; Engineering; Computer network; Telecommunications link","score_opus":0.00901051742399102,"score_gpt":0.21806879032163945,"score_spread":0.20905827289764842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401539904","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":[0.10482631,0.0017257489,0.87756693,0.00043734413,0.00008264987,0.000057444868,0.00011471964,0.00019642686,0.014992287],"genre_scores_gemma":[0.98278284,0.0006507296,0.014546517,0.00004628588,0.000022846576,0.000049670667,0.00005581439,0.000014017098,0.0018312263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996111,0.00011388957,0.000012277713,0.00006425269,0.000102108555,0.00009635155],"domain_scores_gemma":[0.99923253,0.0004014632,0.00011480119,0.000058204274,0.0001579301,0.0000350217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006367295,0.00096864806,0.0007028774,0.00051434414,0.00043905375,0.0011431648,0.0008852088,0.0007789258,0.0011223257],"category_scores_gemma":[0.0018807602,0.00034072076,0.00052988087,0.0007749149,0.0008265053,0.0009921673,0.0011485667,0.00071390386,0.0002352383],"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":[0.000026921833,0.000016783604,0.00032164433,0.000043844135,0.000017601198,0.00011647753,0.000046840836,0.9766326,0.0028545628,0.011966111,0.00040277196,0.0075538224],"study_design_scores_gemma":[0.0000026359055,0.000017750172,0.00006583628,0.000003384218,0.0000057974744,0.000026318954,0.0000187128,0.9977616,0.0004561233,0.0014332497,0.00020267535,0.0000059426834],"about_ca_topic_score_codex":0.0067372792,"about_ca_topic_score_gemma":0.005075819,"teacher_disagreement_score":0.0067372792,"about_ca_system_score_codex":0.001259447,"about_ca_system_score_gemma":0.0010227384,"threshold_uncertainty_score":0.013396144},"labels":[],"label_agreement":null},{"id":"W4401539913","doi":"10.1109/tvt.2024.3442292","title":"Towards the Vehicular Metaverse: Exploring Distributed Inference With Transformer-Based Diffusion Model","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Info-communications Media Development Authority; National Natural Science Foundation of China; Ministry of Education - Singapore; National Research Foundation Singapore","keywords":"Inference; Computer science; Artificial intelligence","score_opus":0.1282530843405388,"score_gpt":0.3322266982009958,"score_spread":0.203973613860457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401539913","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":[0.014772783,0.0002415363,0.98323303,0.00026506078,0.000022558155,0.000019784142,0.000029586152,0.0001584159,0.0012573486],"genre_scores_gemma":[0.8375569,0.00051669515,0.15828486,0.000205942,0.00006866832,0.0000749627,0.00014908325,0.00011890387,0.0030239627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994506,0.00020569109,0.000023467517,0.00013217214,0.00010828506,0.00007969028],"domain_scores_gemma":[0.99787676,0.0014810316,0.00013184136,0.00015287244,0.00023801051,0.00011955725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017619889,0.0006409764,0.0011383059,0.0006839308,0.0005633021,0.0017735992,0.0020582774,0.0012136745,0.0015928979],"category_scores_gemma":[0.0052210717,0.00059672195,0.0010560851,0.00075775856,0.0011572746,0.0023384832,0.001836276,0.001644722,0.0002944775],"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":[0.00006298521,0.000036020792,0.0009279002,0.00004933818,0.000038081474,0.00008161805,0.00010977599,0.92318743,0.0011536133,0.05695107,0.0007040789,0.016698088],"study_design_scores_gemma":[0.000003551917,0.0000052309824,0.000019558343,0.0000013110373,0.0000026147143,0.0000057085945,0.000006637817,0.9905938,0.00011550626,0.009089409,0.00015461458,0.000001998542],"about_ca_topic_score_codex":0.010257341,"about_ca_topic_score_gemma":0.0072204173,"teacher_disagreement_score":0.010257341,"about_ca_system_score_codex":0.001516387,"about_ca_system_score_gemma":0.0015234845,"threshold_uncertainty_score":0.020395279},"labels":[],"label_agreement":null},{"id":"W4401568018","doi":"10.1109/tvt.2024.3443297","title":"Mobility-Aware Computation Offloading for AR Tasks Over Terahertz Wireless Networks: An Offline Reinforcement Learning Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Body Area Networks","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":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Reinforcement learning; Computer science; Wireless; Terahertz radiation; Computation; Computer network; Artificial intelligence; Materials science; Telecommunications; Optoelectronics","score_opus":0.010204240986227553,"score_gpt":0.2369366272307726,"score_spread":0.22673238624454506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401568018","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":[0.034086626,0.00033743147,0.96139747,0.00031750006,0.000047610592,0.000042439693,0.000021696094,0.00027979683,0.0034695533],"genre_scores_gemma":[0.9600886,0.00017444877,0.037599184,0.00009771272,0.00003370436,0.00007998555,0.00002954874,0.000032108124,0.0018647626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968946,0.00007137578,0.000013511581,0.000076312375,0.000066038636,0.00008343879],"domain_scores_gemma":[0.999353,0.00035807487,0.00009713107,0.00004411334,0.00009167744,0.000056030607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055005297,0.0007258139,0.0009198534,0.00025784288,0.00037219637,0.000636472,0.0010710051,0.0006090019,0.0013192665],"category_scores_gemma":[0.0015420801,0.00033459297,0.00044053048,0.0002198758,0.00079582474,0.0006373619,0.0009320617,0.0010107337,0.00018797837],"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":[0.000044325414,0.000041753083,0.00038298106,0.000024918569,0.000014163538,0.000042749958,0.00003523676,0.97564167,0.0015435169,0.0030813129,0.00030210492,0.01884527],"study_design_scores_gemma":[0.0000029165353,0.000009435356,0.00003107576,0.0000013007875,0.0000017255988,0.0000032193698,0.0000031083628,0.9992748,0.00012055426,0.00048033474,0.00007043204,0.0000012454984],"about_ca_topic_score_codex":0.006773154,"about_ca_topic_score_gemma":0.0046234117,"teacher_disagreement_score":0.006773154,"about_ca_system_score_codex":0.0006072185,"about_ca_system_score_gemma":0.0011377014,"threshold_uncertainty_score":0.013467431},"labels":[],"label_agreement":null},{"id":"W4401608621","doi":"10.1109/tvt.2024.3444591","title":"Quality-Aware Task Offloading for Cooperative Perception in Vehicular Edge Computing","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Task (project management); Edge computing; Perception; Quality (philosophy); Enhanced Data Rates for GSM Evolution; Mobile edge computing; Computer network; Human–computer interaction; Embedded system; Transport engineering; Engineering; Server; Telecommunications; Systems engineering; Psychology","score_opus":0.021339432655151303,"score_gpt":0.2960651887908858,"score_spread":0.27472575613573447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401608621","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":[0.13523036,0.0008397264,0.85642105,0.00025461643,0.00014416924,0.00012840398,0.00009484046,0.0010028003,0.005884063],"genre_scores_gemma":[0.95160127,0.00020438727,0.046790894,0.000073023875,0.000026003592,0.00005261037,0.00011196647,0.000053092623,0.0010867356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940073,0.00010436716,0.000030780462,0.0001236754,0.00014554456,0.00019486937],"domain_scores_gemma":[0.99932146,0.00019868305,0.0000646116,0.00014724724,0.00016616668,0.00010192449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046312157,0.0009409864,0.00079164054,0.00040973673,0.0007763218,0.0009343651,0.0012915406,0.00053731276,0.0012409798],"category_scores_gemma":[0.0016418345,0.0002771716,0.00040774935,0.00066186994,0.00049588346,0.0014105438,0.0015126854,0.00077923463,0.00029125257],"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":[0.00062960864,0.0003517321,0.004335209,0.0003587491,0.00008908111,0.0004734657,0.0005998513,0.6462238,0.07894737,0.014547178,0.0059501072,0.24749394],"study_design_scores_gemma":[0.0000140690145,0.000101966456,0.0006566316,0.000009852621,0.00002121489,0.00008102183,0.0001803689,0.9858906,0.0065431152,0.0044505233,0.0020320518,0.000018628625],"about_ca_topic_score_codex":0.0054201735,"about_ca_topic_score_gemma":0.008135957,"teacher_disagreement_score":0.0054201735,"about_ca_system_score_codex":0.000535574,"about_ca_system_score_gemma":0.0011225032,"threshold_uncertainty_score":0.010777235},"labels":[],"label_agreement":null},{"id":"W4401608703","doi":"10.1109/tvt.2024.3443742","title":"Dynamic Virtual Network Embedding Leveraging Neighborhood and Preceding Mappings Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Data Management and Algorithms","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Embedding; Computer science; Computer network; Distributed computing; Artificial intelligence","score_opus":0.005898160685220277,"score_gpt":0.22235520348653262,"score_spread":0.21645704280131234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401608703","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":[0.15652387,0.0005558484,0.83884215,0.00017843641,0.00008165707,0.00007605101,0.00011404757,0.000667021,0.002960818],"genre_scores_gemma":[0.8930801,0.00018623397,0.10514713,0.00004322476,0.000023510422,0.00004640481,0.00027614724,0.00003973812,0.0011574735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994203,0.00014969743,0.000032578257,0.00014521313,0.00014634452,0.00010594819],"domain_scores_gemma":[0.9987515,0.0005027435,0.00017941026,0.00025373997,0.00019670397,0.00011587265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005506783,0.0008505142,0.0009885719,0.0009162893,0.0005772827,0.0009245279,0.0012984,0.00047582074,0.00081850745],"category_scores_gemma":[0.003247661,0.0002978565,0.0003707402,0.00091289287,0.00046179598,0.002377523,0.0015793354,0.00051567523,0.00017785515],"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":[0.00015142378,0.00011281614,0.0031658616,0.000070706075,0.00004968194,0.00020181337,0.0001675073,0.7724625,0.0067304047,0.011215047,0.0018373154,0.2038349],"study_design_scores_gemma":[0.0000040722134,0.000033765966,0.00021334481,0.000003846181,0.0000083257955,0.00006646983,0.000054405806,0.994313,0.0012197817,0.0034192093,0.0006569152,0.0000069819307],"about_ca_topic_score_codex":0.0028882131,"about_ca_topic_score_gemma":0.0040877475,"teacher_disagreement_score":0.0028882131,"about_ca_system_score_codex":0.00054406904,"about_ca_system_score_gemma":0.00087549945,"threshold_uncertainty_score":0.0057427883},"labels":[],"label_agreement":null},{"id":"W4401634289","doi":"10.1109/tvt.2024.3445291","title":"Bayesian Cramer–Rao Bound, Extended and Unscented Kalman Filters Based Tracking Through Non-Ideal Transceivers in 5G and Beyond","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed Sensor Networks and Detection Algorithms","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":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Ideal (ethics); Transceiver; Cramér–Rao bound; Bayesian probability; Tracking (education); Computer science; Filtering theory; Radar tracker; Control theory (sociology); Engineering; Electronic engineering; Telecommunications; Algorithm; Estimation theory; Artificial intelligence; Wireless; Radar","score_opus":0.007371354892244242,"score_gpt":0.23258532860382491,"score_spread":0.22521397371158067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401634289","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":[0.022675842,0.0014831586,0.9726107,0.0002585732,0.000054195807,0.000023493758,0.000094658186,0.0002782976,0.0025210797],"genre_scores_gemma":[0.80969864,0.0035083494,0.18014102,0.00023449473,0.00012719286,0.00008282867,0.00047641588,0.00011117981,0.005619899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984701,0.00042932376,0.00008522678,0.00032573074,0.0004679295,0.00022173583],"domain_scores_gemma":[0.9961887,0.00221784,0.0004956435,0.00031617255,0.0006781366,0.000103576145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036257915,0.0009305727,0.0010873791,0.0007773912,0.0006565605,0.0018595151,0.0010968706,0.0012616568,0.0010853641],"category_scores_gemma":[0.012833278,0.0006467723,0.000549103,0.0010894918,0.0015509932,0.0025643518,0.0014193923,0.0011711161,0.0004527347],"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":[0.00020175481,0.000027124763,0.0014563598,0.00012791983,0.00004997836,0.00007180088,0.00015513293,0.9087865,0.0014705493,0.03993025,0.0010229669,0.046699632],"study_design_scores_gemma":[0.000008004554,0.000026785816,0.00049028645,0.000018823433,0.000013760347,0.000027508007,0.000014336758,0.9909361,0.0007470598,0.0070200292,0.0006784374,0.000018882192],"about_ca_topic_score_codex":0.016506365,"about_ca_topic_score_gemma":0.012244153,"teacher_disagreement_score":0.016506365,"about_ca_system_score_codex":0.0017962047,"about_ca_system_score_gemma":0.0033987483,"threshold_uncertainty_score":0.032820582},"labels":[],"label_agreement":null},{"id":"W4401687091","doi":"10.1109/tvt.2024.3441030","title":"Closed-Form Blockage Probability for Relays-Assisted mmWave D2D Communications: Benefits of Using Relays","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","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":"University of British Columbia","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Outage probability; Computer science; Electronic engineering; Relay; Computer network; Engineering; Electrical engineering; Fading; Channel (broadcasting); Power (physics); Physics","score_opus":0.05249228707285024,"score_gpt":0.2678415838532322,"score_spread":0.21534929678038195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401687091","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":[0.019694377,0.0033396604,0.9661565,0.0006954524,0.00010548554,0.00009343309,0.00026724505,0.0002975196,0.009350436],"genre_scores_gemma":[0.90803605,0.007153605,0.0737834,0.0003729279,0.00020404033,0.00036833965,0.0004981373,0.00022097165,0.009362429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988053,0.0003032174,0.000051126768,0.00025634622,0.0004139908,0.00017007836],"domain_scores_gemma":[0.990226,0.006947625,0.0009908687,0.00033206787,0.0013759669,0.00012758795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002109759,0.0018582756,0.0017825502,0.0011143517,0.00085600105,0.002369388,0.0016195687,0.0018432435,0.004472871],"category_scores_gemma":[0.014483875,0.0008594209,0.0008037714,0.001427453,0.0022017844,0.0025856786,0.0016188818,0.0019546398,0.0010885767],"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":[0.00007600505,0.000031278738,0.0008490543,0.00033935835,0.000036262452,0.00026734345,0.00017344518,0.9479736,0.0025755323,0.034668956,0.0021455023,0.010863626],"study_design_scores_gemma":[0.000009391956,0.000032618584,0.0002855292,0.00006577683,0.000024067129,0.00019904753,0.00007561753,0.9856736,0.0008978404,0.0116274925,0.0010858239,0.000023228895],"about_ca_topic_score_codex":0.005452157,"about_ca_topic_score_gemma":0.0046513095,"teacher_disagreement_score":0.005452157,"about_ca_system_score_codex":0.0028045068,"about_ca_system_score_gemma":0.0018025228,"threshold_uncertainty_score":0.020348191},"labels":[],"label_agreement":null},{"id":"W4401692155","doi":"10.1109/tvt.2024.3444784","title":"Asynchronous Federated Based Vehicular Edge Computation Offloading","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":8,"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; Becton Dickinson (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asynchronous communication; Computer science; Computation offloading; Computation; Enhanced Data Rates for GSM Evolution; Computer network; Embedded system; Edge computing; Distributed computing; Telecommunications; Algorithm","score_opus":0.009506457382154335,"score_gpt":0.23919711760133633,"score_spread":0.229690660219182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401692155","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":[0.11659907,0.0002977484,0.87391585,0.00037204337,0.00014399189,0.00007931024,0.00010546603,0.0012474676,0.0072390586],"genre_scores_gemma":[0.9840083,0.00004308174,0.0135305775,0.00006853831,0.000011407854,0.000022675003,0.000050613715,0.000022091808,0.0022426967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951017,0.000090248,0.000021228661,0.00011924661,0.00010652267,0.00015255918],"domain_scores_gemma":[0.99931407,0.00023335649,0.00006602265,0.000121858146,0.0001711671,0.0000935543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065456587,0.0005553873,0.0006832656,0.00024751757,0.0004892703,0.00078853936,0.0013374984,0.00047338524,0.0030281085],"category_scores_gemma":[0.0017593531,0.00019450058,0.00028546868,0.00028974205,0.00054677424,0.0010554544,0.001284732,0.00073645904,0.000393382],"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":[0.00030348473,0.00015012828,0.0014200433,0.00004946859,0.000021108388,0.00012353892,0.00006317144,0.9131945,0.003980867,0.007921303,0.0021866162,0.070585795],"study_design_scores_gemma":[0.000005412737,0.000020050034,0.00006342267,0.0000015794324,0.0000020702762,0.000008515804,0.0000075563653,0.99757034,0.0005576937,0.0015379078,0.00022341858,0.00000194897],"about_ca_topic_score_codex":0.0050708074,"about_ca_topic_score_gemma":0.0068996446,"teacher_disagreement_score":0.0050708074,"about_ca_system_score_codex":0.00074649486,"about_ca_system_score_gemma":0.0013035801,"threshold_uncertainty_score":0.010129988},"labels":[],"label_agreement":null},{"id":"W4401749286","doi":"10.1109/tvt.2024.3448197","title":"A Recursive Gaussian Newton Based Variable Parameter Adaptive Receiver for Single-Carrier Underwater Acoustic Communications","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Underwater Vehicles and Communication Systems","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":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Underwater acoustic communication; Gaussian; Gaussian noise; Electronic engineering; Acoustics; Gaussian process; Underwater; Underwater acoustics; Variable (mathematics); Computer science; Physics; Control theory (sociology); Engineering; Mathematics; Algorithm; Artificial intelligence; Mathematical analysis","score_opus":0.029695078250332248,"score_gpt":0.24002789873575334,"score_spread":0.2103328204854211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401749286","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":[0.008481215,0.00032698258,0.98908585,0.00008992768,0.0000713086,0.000024112103,0.00001789851,0.00044268556,0.0014599557],"genre_scores_gemma":[0.35160005,0.00059519627,0.63897616,0.00020138656,0.00010840218,0.00007950077,0.00013018612,0.000055840694,0.008253357],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962246,0.00007131113,0.000016201882,0.000089384,0.00017257172,0.000028081404],"domain_scores_gemma":[0.9998196,0.00004644287,0.000025280862,0.000024105622,0.00007434329,0.000010258175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034776662,0.0004655178,0.00049935986,0.00026519466,0.0002604319,0.00034757602,0.00077569735,0.0005540942,0.0010581168],"category_scores_gemma":[0.00065338134,0.00021497239,0.000300163,0.0003692262,0.0003158224,0.00063100463,0.00042574963,0.00073043135,0.00058183185],"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":[0.0003211479,0.00013490801,0.0018083903,0.00023272942,0.000102334416,0.00024767185,0.00021853588,0.13644274,0.20314975,0.02328886,0.0051092436,0.6289436],"study_design_scores_gemma":[0.000039157218,0.00019739584,0.00039314694,0.000011614715,0.00003157547,0.00025305696,0.000017212566,0.95664376,0.032724608,0.0013046981,0.00834621,0.0000375633],"about_ca_topic_score_codex":0.0019658706,"about_ca_topic_score_gemma":0.0030826838,"teacher_disagreement_score":0.0019658706,"about_ca_system_score_codex":0.00030925957,"about_ca_system_score_gemma":0.0007741436,"threshold_uncertainty_score":0.0039088726},"labels":[],"label_agreement":null},{"id":"W4401749653","doi":"10.1109/tvt.2024.3447908","title":"IRS-Enabled Monostatic Backscatter MIMO Communication Design for V2I Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Backscatter (email); MIMO; Electronic engineering; Computer science; Communications system; Telecommunications; Remote sensing; Wireless; Electrical engineering; Computer network; Engineering; Channel (broadcasting); Geology","score_opus":0.012705023199437181,"score_gpt":0.2238718570278577,"score_spread":0.21116683382842052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401749653","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":[0.013050063,0.00029593613,0.97951734,0.00013114052,0.000040735576,0.00003145389,0.000028248644,0.00014481861,0.006760251],"genre_scores_gemma":[0.8514748,0.00073721784,0.14164999,0.00015895872,0.0000699787,0.00015268479,0.0000810415,0.000039227434,0.0056360736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996158,0.00011308391,0.0000135861965,0.000058263257,0.00015209748,0.000047257552],"domain_scores_gemma":[0.9997749,0.000061106664,0.000042545365,0.000018078796,0.00008889831,0.000014494324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003307242,0.0005803519,0.00032468402,0.00020120147,0.00025087586,0.0006646395,0.0005943029,0.0004212961,0.0015819346],"category_scores_gemma":[0.000422826,0.00021516185,0.00028495854,0.00033053695,0.00034033446,0.00042931794,0.00043179694,0.00048994983,0.00063691684],"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":[0.00013359317,0.000088628054,0.0010095541,0.00020115008,0.000072195784,0.000200962,0.00020131553,0.7702799,0.08741876,0.028231187,0.0032184615,0.10894431],"study_design_scores_gemma":[0.000008629874,0.00014807773,0.00018407335,0.0000107624555,0.000014509964,0.00010890811,0.000035769768,0.98717,0.008117976,0.0019726562,0.0022151382,0.000013486031],"about_ca_topic_score_codex":0.0011672743,"about_ca_topic_score_gemma":0.0019713335,"teacher_disagreement_score":0.0015819346,"about_ca_system_score_codex":0.0004202582,"about_ca_system_score_gemma":0.00060668227,"threshold_uncertainty_score":0.0052921176},"labels":[],"label_agreement":null},{"id":"W4401906784","doi":"10.1109/tvt.2024.3439569","title":"Human-Assisted Resilient Coordination for Automated Platoon With False Data Injection Attack","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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 Victoria","funders":"Ministry of Education - Singapore; Agency for Science, Technology and Research","keywords":"Platoon; Computer science; Automation; Engineering; Embedded system; Computer security; Artificial intelligence; Control (management)","score_opus":0.05164443042713327,"score_gpt":0.3305355769586571,"score_spread":0.2788911465315238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401906784","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":[0.038868845,0.00011886504,0.9586676,0.00015086847,0.00003164076,0.000038152793,0.0000141228775,0.0002838607,0.0018259421],"genre_scores_gemma":[0.97353166,0.000058110432,0.025701154,0.00003918368,0.000016375567,0.000031978685,0.00001206593,0.000019274828,0.00059015607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994091,0.000157442,0.000024141475,0.00015536678,0.00014837536,0.00010562648],"domain_scores_gemma":[0.998747,0.0005940936,0.00029943648,0.00013886446,0.000118038,0.00010257833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078829215,0.0007384623,0.00052014034,0.0003292205,0.00037548796,0.00066012435,0.0006729817,0.0005362079,0.00078226125],"category_scores_gemma":[0.0022047344,0.0002121431,0.0003284067,0.00022892494,0.0012034121,0.00058183953,0.0011071402,0.0006205474,0.00010404254],"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":[0.00011542496,0.000033939534,0.0007612993,0.00004257475,0.00003214112,0.00013497994,0.00008914214,0.9555489,0.008984887,0.008536045,0.00042919288,0.025291486],"study_design_scores_gemma":[0.000005999691,0.00005480306,0.00014812175,0.0000030590602,0.000004700063,0.000026086658,0.000013713863,0.99567235,0.0013821047,0.0023859718,0.00029854203,0.0000047062035],"about_ca_topic_score_codex":0.0024064665,"about_ca_topic_score_gemma":0.001403231,"teacher_disagreement_score":0.0024064665,"about_ca_system_score_codex":0.0006046713,"about_ca_system_score_gemma":0.00086775067,"threshold_uncertainty_score":0.0047849417},"labels":[],"label_agreement":null},{"id":"W4402126013","doi":"10.1109/tvt.2024.3453063","title":"RIS-Segmented Symbiotic Covert Cooperative Backscatter Communication Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","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 Laval","funders":"National Mobile Communications Research Laboratory, Southeast University","keywords":"Backscatter (email); Covert; Computer science; Electronic engineering; Remote sensing; Engineering; Telecommunications; Geology; Wireless","score_opus":0.006506591824642406,"score_gpt":0.2071908358210001,"score_spread":0.20068424399635768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402126013","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":[0.5482522,0.00061164104,0.44210663,0.00011976811,0.00004168385,0.0000382557,0.000045554152,0.0005388222,0.00824539],"genre_scores_gemma":[0.98206127,0.0000650484,0.01692908,0.00002700655,0.0000072051234,0.000012522997,0.000016829756,0.000007515944,0.00087354984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960965,0.000067418514,0.000011798507,0.00008593078,0.00015162368,0.00007370053],"domain_scores_gemma":[0.9994667,0.00015756901,0.000120285804,0.00008871451,0.00012740567,0.00003929466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027743782,0.00041541416,0.00037389918,0.00022399996,0.00028429588,0.0004668674,0.00055390835,0.00036170677,0.00054198655],"category_scores_gemma":[0.00071595394,0.00012230095,0.00018980859,0.00029851092,0.0004149256,0.0006137801,0.0006555117,0.00023774088,0.00022480571],"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":[0.0007731125,0.000119635515,0.0059600775,0.00019085739,0.00011061733,0.0008466903,0.0005538533,0.48918477,0.34887642,0.013867719,0.0010771279,0.13843918],"study_design_scores_gemma":[0.000015228534,0.00035764714,0.0015019171,0.0000068786844,0.000025347837,0.0002950233,0.00007123079,0.95579505,0.03820593,0.0022131486,0.0014936646,0.000018956864],"about_ca_topic_score_codex":0.00082321785,"about_ca_topic_score_gemma":0.001260655,"teacher_disagreement_score":0.00082321785,"about_ca_system_score_codex":0.00040226238,"about_ca_system_score_gemma":0.00029595656,"threshold_uncertainty_score":0.002918601},"labels":[],"label_agreement":null},{"id":"W4402187256","doi":"10.1109/tvt.2024.3454574","title":"Hierarchical Transformers for Motion Forecasting Based on Inverse Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Neural Networks and Applications","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":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Reinforcement learning; Transformer; Artificial intelligence; Computer science; Engineering; Machine learning; Electrical engineering; Voltage","score_opus":0.02042884831216716,"score_gpt":0.24657343336356205,"score_spread":0.2261445850513949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402187256","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01880661,0.000121371275,0.97916836,0.00011549398,0.000024335146,0.00003404307,0.00009100255,0.00056987524,0.0010688223],"genre_scores_gemma":[0.91134655,0.00011788818,0.08671251,0.000097385695,0.000024202964,0.000094274656,0.0002441228,0.00007430939,0.0012887114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971837,0.00006773069,0.000015078998,0.00008307184,0.00007180169,0.0000439682],"domain_scores_gemma":[0.99915755,0.00048488387,0.0000946586,0.00007649985,0.00012717678,0.000059226008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070010405,0.00067433255,0.0007356492,0.0006067184,0.00027398329,0.00053818844,0.00133313,0.00067191594,0.0020766745],"category_scores_gemma":[0.0032411024,0.00037909855,0.00058699807,0.00046139912,0.0007063726,0.0011377243,0.000882022,0.0011329273,0.0003217462],"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":[0.0000476814,0.000027223386,0.0008178385,0.000024534778,0.000012357279,0.000037560214,0.000042462216,0.9551741,0.0011353652,0.0055316193,0.00056840584,0.036580857],"study_design_scores_gemma":[0.0000017813334,0.0000065551258,0.00003263969,0.0000010858522,0.000001097633,0.000003416494,0.0000018759376,0.99832433,0.00012645613,0.0014417283,0.00005767749,0.0000013786229],"about_ca_topic_score_codex":0.01343547,"about_ca_topic_score_gemma":0.01233656,"teacher_disagreement_score":0.01343547,"about_ca_system_score_codex":0.0010460941,"about_ca_system_score_gemma":0.001046642,"threshold_uncertainty_score":0.026714563},"labels":[],"label_agreement":null},{"id":"W4402187332","doi":"10.1109/tvt.2024.3453333","title":"Multi-UAV Assisted Mixed FSO/RF Communication Network for Urgent Tasks: Fairness Oriented Design With DRL","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":25,"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 Victoria; University of Ottawa","funders":"Natural Science Foundation of Chongqing; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Radio frequency; Computer network; Electronic engineering; Engineering; Telecommunications","score_opus":0.023636812195863482,"score_gpt":0.24785480743164454,"score_spread":0.22421799523578106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402187332","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":[0.023008572,0.0003890287,0.9711141,0.00024194212,0.00006014093,0.000062952786,0.000026969174,0.00019988103,0.004896409],"genre_scores_gemma":[0.9331147,0.00019142943,0.06415817,0.00014153322,0.000035681947,0.00010696976,0.000024980787,0.000020614842,0.002205957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932396,0.00020834092,0.000025383952,0.00015076637,0.00017320995,0.00011830459],"domain_scores_gemma":[0.99922514,0.0002922385,0.00015022032,0.00004239677,0.00023276874,0.000057238394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094964536,0.0007405275,0.0006882429,0.00029732168,0.0004933256,0.00096121704,0.0013163559,0.0007705189,0.0012903012],"category_scores_gemma":[0.0014544139,0.0002607959,0.00031707622,0.0002857445,0.00060143083,0.00072716636,0.000816491,0.0006107675,0.00026294007],"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":[0.00015292224,0.00010970483,0.000701814,0.00011270554,0.00003421058,0.0001733254,0.000109711415,0.91661835,0.014227899,0.012536084,0.0013032313,0.05391994],"study_design_scores_gemma":[0.0000053818703,0.00005078359,0.0000353101,0.0000031002662,0.0000040789323,0.000020207832,0.000007227043,0.99828905,0.00057041115,0.0007609966,0.00024983,0.0000037120265],"about_ca_topic_score_codex":0.0026708688,"about_ca_topic_score_gemma":0.003670906,"teacher_disagreement_score":0.0026708688,"about_ca_system_score_codex":0.0010074842,"about_ca_system_score_gemma":0.001082886,"threshold_uncertainty_score":0.007309854},"labels":[],"label_agreement":null},{"id":"W4402302650","doi":"10.1109/tvt.2024.3455249","title":"SINR Analysis and Interference Mitigation for Continuous-Aperture Holographic MIMO Uplink","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Analysis","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":"University of Alberta","funders":"","keywords":"Telecommunications link; Interference (communication); MIMO; Electronic engineering; Computer science; Telecommunications; Engineering; Beamforming; Channel (broadcasting)","score_opus":0.0060417352036330665,"score_gpt":0.21343216653821676,"score_spread":0.20739043133458368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402302650","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":[0.07409398,0.0010073868,0.91333675,0.00015719637,0.000056276007,0.000021071026,0.000055445344,0.00016855124,0.011103387],"genre_scores_gemma":[0.9554925,0.0011915286,0.039647,0.00009298631,0.000086736116,0.00003199436,0.00006940987,0.000042253185,0.0033457202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995634,0.000098928685,0.000014123867,0.000051077626,0.00020567368,0.00006679177],"domain_scores_gemma":[0.9992091,0.00041099713,0.000116844865,0.000047771096,0.00019215838,0.000023119437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000563013,0.0006506382,0.0004921251,0.00032530463,0.00025341284,0.00067217695,0.00044383254,0.0004719621,0.0011859135],"category_scores_gemma":[0.0016842627,0.00023345595,0.0004330949,0.00036041302,0.00079714606,0.00077464175,0.00055909296,0.00048515951,0.00036387064],"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":[0.00010620725,0.000036134195,0.0014289506,0.00021223619,0.000038734255,0.00045475463,0.00015209713,0.90659976,0.037833948,0.03515919,0.0006605995,0.017317288],"study_design_scores_gemma":[0.00000273088,0.00004274268,0.0004562364,0.0000074640056,0.000008732875,0.00010324753,0.000044539127,0.99245054,0.0046101515,0.0019860624,0.00027797508,0.000009527545],"about_ca_topic_score_codex":0.0018460882,"about_ca_topic_score_gemma":0.0013203343,"teacher_disagreement_score":0.0018460882,"about_ca_system_score_codex":0.0006116731,"about_ca_system_score_gemma":0.0006291569,"threshold_uncertainty_score":0.0044380426},"labels":[],"label_agreement":null},{"id":"W4402302652","doi":"10.1109/tvt.2024.3456029","title":"A Federated Meta Learning-Based Secure Data Consolidation Scheme for Industrial AIoT Leveraging Drone","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Drone; Scheme (mathematics); Consolidation (business); Computer science; Engineering; Computer network; Computer security; Business","score_opus":0.0993011948530566,"score_gpt":0.3086075058278644,"score_spread":0.20930631097480779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402302652","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":[0.07714866,0.00031937627,0.9180835,0.0002783103,0.0000509205,0.00013928546,0.00012658884,0.0012945388,0.0025587385],"genre_scores_gemma":[0.9376413,0.00009739609,0.05969467,0.000116719035,0.000014745151,0.00008180233,0.0002176728,0.00002273402,0.0021129244],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986676,0.00028469606,0.00014431616,0.0003195717,0.00034256442,0.00024132065],"domain_scores_gemma":[0.99854124,0.00023640346,0.00019123514,0.00064331485,0.0002719218,0.000115889794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010864892,0.00044824253,0.00087063614,0.00070836593,0.0009826247,0.0011821634,0.0016453884,0.0008482068,0.0016446671],"category_scores_gemma":[0.0022256244,0.00019437766,0.0006284404,0.0010440662,0.00074502546,0.0032572127,0.0027135825,0.000852193,0.00052024645],"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":[0.0015294013,0.00051555305,0.0042741457,0.000190444,0.00018283774,0.0006963708,0.00049644173,0.37496695,0.050822206,0.06797299,0.0052898666,0.49306282],"study_design_scores_gemma":[0.000037044185,0.00018533914,0.00032124,0.000013628522,0.000022567778,0.000235895,0.00006665264,0.9659082,0.01631067,0.014371922,0.002501748,0.00002510511],"about_ca_topic_score_codex":0.0013439634,"about_ca_topic_score_gemma":0.0015084436,"teacher_disagreement_score":0.0016453884,"about_ca_system_score_codex":0.0009860778,"about_ca_system_score_gemma":0.0013448802,"threshold_uncertainty_score":0.007154584},"labels":[],"label_agreement":null},{"id":"W4402351929","doi":"10.1109/tvt.2024.3456080","title":"Detection, Identification, and Mitigation of False Data Injection Attacks in Vehicle Platooning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":10,"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":"Identification (biology); Automotive engineering; Computer science; Engineering; Environmental science","score_opus":0.009754190506251518,"score_gpt":0.23270317896708928,"score_spread":0.22294898846083777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402351929","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":[0.04644007,0.00012638528,0.95223117,0.000053283846,0.00002486228,0.000024898796,0.000012507193,0.00036015286,0.00072673615],"genre_scores_gemma":[0.98260456,0.000078485195,0.016961496,0.000014392178,0.000005998849,0.000019645828,0.000016215206,0.00000739334,0.0002918193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934655,0.00013857636,0.000042263204,0.000119400735,0.00024532052,0.000107888285],"domain_scores_gemma":[0.99847144,0.0005855528,0.00043811047,0.00016905449,0.0002769318,0.00005876677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080504076,0.0006895094,0.0006062849,0.0004804639,0.00025553894,0.0007091086,0.0005523178,0.00043580853,0.00026712855],"category_scores_gemma":[0.0033877266,0.00024812692,0.00033400432,0.00017506286,0.0007251601,0.0008348035,0.0010237269,0.0007778569,0.00007799663],"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":[0.00020556309,0.00005115533,0.0048600296,0.000095295065,0.00004453239,0.00024343639,0.0001992916,0.89414793,0.018104205,0.008664279,0.00034208474,0.07304227],"study_design_scores_gemma":[0.0000025039437,0.000052282092,0.0003162346,0.000005642563,0.0000049103355,0.00002957834,0.000015344573,0.99478614,0.0040013045,0.00063734583,0.00014386814,0.000004762561],"about_ca_topic_score_codex":0.0027894182,"about_ca_topic_score_gemma":0.001757817,"teacher_disagreement_score":0.0027894182,"about_ca_system_score_codex":0.00039921424,"about_ca_system_score_gemma":0.0007920748,"threshold_uncertainty_score":0.005546391},"labels":[],"label_agreement":null},{"id":"W4402451557","doi":"10.1109/tvt.2024.3457782","title":"An All-Digital Spread Spectrum Method With Distortion Correction for Filterless Digital Class-D Amplifiers","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Amplifier; Electronic engineering; Distortion (music); Spread spectrum; Computer science; Class (philosophy); Telecommunications; Bandwidth (computing); Engineering; Code division multiple access; Artificial intelligence","score_opus":0.00944499036866568,"score_gpt":0.25524051471702935,"score_spread":0.2457955243483637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402451557","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":[0.01144231,0.00061203184,0.98471314,0.000113014125,0.0001320362,0.00004953105,0.00001678564,0.00049999356,0.0024210701],"genre_scores_gemma":[0.45781243,0.0009257725,0.5318973,0.00019613748,0.000113857626,0.00009188694,0.000056810386,0.00006323198,0.008842548],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965835,0.000050109837,0.000017843697,0.00006698388,0.00019488875,0.000011807885],"domain_scores_gemma":[0.999765,0.000049818787,0.000044428733,0.000044747485,0.000086140324,0.000009793805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019773911,0.0005191908,0.00018977385,0.00055111514,0.00032143595,0.00042393955,0.0005832387,0.0004706687,0.0019436419],"category_scores_gemma":[0.00061701005,0.00016758849,0.00028397457,0.0004371008,0.00032750782,0.0006410116,0.00026477905,0.00040856935,0.00054854143],"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":[0.0003431031,0.00009441091,0.00064156693,0.00029958726,0.000057691494,0.00023162742,0.00015558368,0.017607396,0.39557913,0.018539444,0.0017559173,0.5646946],"study_design_scores_gemma":[0.00011286299,0.00068987027,0.0014365158,0.000069975315,0.0000995661,0.0024387045,0.00007299857,0.4766895,0.4682936,0.0055551813,0.044446465,0.0000947541],"about_ca_topic_score_codex":0.00047223078,"about_ca_topic_score_gemma":0.00074446906,"teacher_disagreement_score":0.0019436419,"about_ca_system_score_codex":0.00037014618,"about_ca_system_score_gemma":0.0003059297,"threshold_uncertainty_score":0.0065021515},"labels":[],"label_agreement":null},{"id":"W4402510167","doi":"10.1109/tvt.2024.3459046","title":"Design and Performance Analysis of MEC-Aided LoRa Networks With Power Control","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Power (physics); Control (management); Computer science; Engineering","score_opus":0.00526762033761958,"score_gpt":0.19827351049088826,"score_spread":0.1930058901532687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402510167","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":[0.037612993,0.000656574,0.9536334,0.00027980658,0.000059101578,0.00010795645,0.000056627665,0.00033606135,0.007257413],"genre_scores_gemma":[0.9487374,0.00040334542,0.04851103,0.00008163127,0.00003625234,0.00012585145,0.0000431816,0.000023764527,0.0020374195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990978,0.00033100953,0.000026032341,0.00017017458,0.00023348472,0.00014149077],"domain_scores_gemma":[0.99894255,0.00045382074,0.00014199877,0.00006877537,0.00034116354,0.000051781564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009479929,0.0007835945,0.0005167991,0.000485382,0.00055096025,0.0010301449,0.001061407,0.00051623833,0.0016164636],"category_scores_gemma":[0.0026581162,0.00032467998,0.0003060166,0.00044055821,0.00076639757,0.0009955405,0.00091918756,0.0005902222,0.00031651082],"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":[0.00010452999,0.00003202376,0.00082562526,0.00006829683,0.000024820709,0.0001049357,0.000055279143,0.95656747,0.005198979,0.010127534,0.00071577233,0.026174689],"study_design_scores_gemma":[0.0000035633957,0.00004328612,0.000059863156,0.0000025479412,0.00000574914,0.00002821876,0.00001188899,0.99807113,0.0006192124,0.0008246046,0.0003260953,0.0000038736925],"about_ca_topic_score_codex":0.0031347852,"about_ca_topic_score_gemma":0.0035263363,"teacher_disagreement_score":0.0031347852,"about_ca_system_score_codex":0.0014778515,"about_ca_system_score_gemma":0.0009756544,"threshold_uncertainty_score":0.010722637},"labels":[],"label_agreement":null},{"id":"W4402510183","doi":"10.1109/tvt.2024.3461161","title":"DRL-AdCAR: Adaptive Coding-Aware Routing With Maximum Coding Opportunities and High-Quality via Deep Reinforcement Learning in FANET","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Interconnection Networks and 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":"York University","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Coding (social sciences); Computer network; Artificial intelligence; Mathematics","score_opus":0.026453501926605314,"score_gpt":0.24446836682843445,"score_spread":0.21801486490182914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402510183","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":[0.052292686,0.0006667715,0.9421397,0.00037957018,0.00011171828,0.000049468614,0.00006298474,0.0009716547,0.0033254412],"genre_scores_gemma":[0.9245471,0.0002834393,0.07194785,0.0002802619,0.00003668059,0.00007509198,0.00011539634,0.00005545787,0.0026586873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973387,0.000052948963,0.0000143389925,0.00006932016,0.00007279053,0.000056787696],"domain_scores_gemma":[0.9993061,0.00033976158,0.00008868485,0.00005418788,0.0001614681,0.00004988338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072803267,0.00069600577,0.0006866997,0.0003377514,0.0003134084,0.00062659,0.0012883279,0.0007567699,0.00090072723],"category_scores_gemma":[0.0019918536,0.0002701825,0.00030750522,0.00034543048,0.00062572164,0.0009693713,0.0008573941,0.0012379363,0.00015466822],"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":[0.00005079763,0.000066640285,0.0006002215,0.000040089,0.00002481063,0.00006908807,0.00003913622,0.9289683,0.0030457515,0.004687418,0.0012598827,0.061147857],"study_design_scores_gemma":[0.0000033211768,0.000013310388,0.000030818665,0.0000018050796,0.0000024803023,0.00000572537,0.00000199442,0.99866116,0.00032397034,0.00084266404,0.000110272886,0.000002422659],"about_ca_topic_score_codex":0.010139519,"about_ca_topic_score_gemma":0.008563625,"teacher_disagreement_score":0.010139519,"about_ca_system_score_codex":0.0009376719,"about_ca_system_score_gemma":0.0010699491,"threshold_uncertainty_score":0.020161033},"labels":[],"label_agreement":null},{"id":"W4402593119","doi":"10.1109/tvt.2024.3458973","title":"Task Offloading and Resource Allocation in UAV-Assisted Vehicle Platoon System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Hunan Province; Natural Sciences and Engineering Research Council of Canada; Universidade de Macau; National Natural Science Foundation of China","keywords":"Platoon; Task (project management); Resource allocation; Computer science; Remotely operated underwater vehicle; Resource management (computing); Mobile robot; Engineering; Embedded system; Automotive engineering; Computer network; Systems engineering; Control (management); Robot","score_opus":0.006661401870015849,"score_gpt":0.2017415810543154,"score_spread":0.19508017918429954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402593119","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":[0.20964524,0.0004975499,0.7833531,0.00041103264,0.000080383536,0.000112555346,0.00009460428,0.00043445194,0.0053710723],"genre_scores_gemma":[0.986257,0.00008211646,0.012561224,0.00003042151,0.000009831152,0.000038504426,0.000030332574,0.000009791964,0.0009807975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965405,0.00006577056,0.000014898684,0.00008327915,0.00006709201,0.00011493289],"domain_scores_gemma":[0.9997656,0.000080083424,0.00004821505,0.000017828857,0.000047153746,0.000041019997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032415913,0.0005299243,0.00062167476,0.00020552831,0.00053515326,0.0006408155,0.00062795007,0.00035920684,0.000954599],"category_scores_gemma":[0.0006122266,0.00019756348,0.00023147976,0.00030323234,0.00040617795,0.00049747305,0.00072252477,0.00040668706,0.00011150009],"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":[0.000107604326,0.000046568173,0.0008741836,0.000038650505,0.000013698163,0.00013391269,0.0000627063,0.9712403,0.0043552686,0.0029252358,0.0007232096,0.019478757],"study_design_scores_gemma":[0.0000037705395,0.000015074665,0.00007675365,7.7339104e-7,0.0000017748266,0.0000062662457,0.000008273299,0.9991652,0.00028588186,0.00034624117,0.000088374174,0.0000015509779],"about_ca_topic_score_codex":0.011062469,"about_ca_topic_score_gemma":0.007733815,"teacher_disagreement_score":0.011062469,"about_ca_system_score_codex":0.0006300194,"about_ca_system_score_gemma":0.0013273926,"threshold_uncertainty_score":0.02199614},"labels":[],"label_agreement":null},{"id":"W4402673369","doi":"10.1109/tvt.2024.3465841","title":"Implementing the Uplink Access in IEEE 802.11bd","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Networks and Protocols","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":"Telecommunications link; Computer network; Computer science; Telecommunications","score_opus":0.02064413466967932,"score_gpt":0.3050222710008602,"score_spread":0.2843781363311809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402673369","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048444632,0.0008371922,0.926266,0.00044225823,0.00023696467,0.00009393318,0.00012260453,0.0012049057,0.022351531],"genre_scores_gemma":[0.91125786,0.0005950514,0.080569826,0.00026842675,0.00009601623,0.00012331549,0.00013708642,0.00007175034,0.0068805977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898773,0.000255224,0.00004944215,0.00013591893,0.00035487342,0.00021682242],"domain_scores_gemma":[0.9991122,0.00021055162,0.00007884835,0.00019625887,0.00037549634,0.000026600319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010095168,0.00057863304,0.00043255166,0.0003396034,0.0006481135,0.0017449213,0.0013633664,0.0010598358,0.0021812401],"category_scores_gemma":[0.0021332146,0.00037751786,0.00027867954,0.00048804266,0.0007659759,0.0020799926,0.00079942285,0.0011143124,0.0008910979],"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":[0.00025729282,0.0003413571,0.004832857,0.00026287104,0.000044843444,0.00042241556,0.0005824864,0.3842655,0.035960805,0.42797026,0.008162365,0.13689697],"study_design_scores_gemma":[0.000020553978,0.000101110425,0.00036650745,0.000033385506,0.00001686373,0.00020741389,0.000079825964,0.9515021,0.009357672,0.023629837,0.014655992,0.000028724442],"about_ca_topic_score_codex":0.0072524776,"about_ca_topic_score_gemma":0.0057275547,"teacher_disagreement_score":0.0072524776,"about_ca_system_score_codex":0.0015317117,"about_ca_system_score_gemma":0.0013893243,"threshold_uncertainty_score":0.014420569},"labels":[],"label_agreement":null},{"id":"W4402811362","doi":"10.1109/tvt.2024.3462708","title":"Cloud-Edge-End Collaboration for Intelligent Train Regulation Optimization in TACS","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Railway Systems and Energy Efficiency","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":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Cloud computing; Enhanced Data Rates for GSM Evolution; Computer science; Operating system; Telecommunications","score_opus":0.007637992144576715,"score_gpt":0.22310755580634503,"score_spread":0.2154695636617683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402811362","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":[0.071139544,0.00029705942,0.92080486,0.00026310427,0.000092060975,0.000059268543,0.00009518134,0.0010564637,0.006192411],"genre_scores_gemma":[0.9596058,0.000080658065,0.038216025,0.00011509942,0.000017821822,0.000042263877,0.00009762112,0.0000387352,0.0017860709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999629,0.000055490516,0.00001649319,0.00010283119,0.000076302735,0.000119922974],"domain_scores_gemma":[0.9996691,0.00007440962,0.00003834738,0.00006549026,0.0000942373,0.000058437094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046678446,0.0006559288,0.00073246704,0.00020387086,0.0006894775,0.00087179505,0.0014034088,0.0006740113,0.002131933],"category_scores_gemma":[0.00087177305,0.00023368932,0.0005474704,0.0003858132,0.000501516,0.0015172411,0.002207893,0.00096387876,0.00036810717],"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":[0.00025788948,0.00017058935,0.001950558,0.00006569252,0.000052676998,0.00031887158,0.00015554913,0.91077626,0.008365618,0.012807351,0.0030786472,0.062000316],"study_design_scores_gemma":[0.000004751204,0.000016634382,0.000099413766,0.0000019815468,0.000003936528,0.000013140808,0.000013954607,0.99690163,0.00076378323,0.0018548466,0.0003227916,0.0000032690818],"about_ca_topic_score_codex":0.0084654605,"about_ca_topic_score_gemma":0.008730652,"teacher_disagreement_score":0.0084654605,"about_ca_system_score_codex":0.0007270846,"about_ca_system_score_gemma":0.0013466527,"threshold_uncertainty_score":0.016832411},"labels":[],"label_agreement":null},{"id":"W4402832984","doi":"10.1109/tvt.2024.3467255","title":"A Hybrid Collaborative Learning for Age of Information Minimization in Massive Access","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","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":"Western University","funders":"National Natural Science Foundation of China","keywords":"Minification; Computer science; Computer network; Artificial intelligence; World Wide Web","score_opus":0.007918751638797274,"score_gpt":0.2505636608950816,"score_spread":0.24264490925628432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402832984","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":[0.022057109,0.00037144826,0.97447914,0.00025122426,0.000050533417,0.000040219344,0.000035752048,0.0002507508,0.0024637324],"genre_scores_gemma":[0.8910912,0.00022427528,0.104037724,0.00028958046,0.00008203606,0.00014042367,0.00008627892,0.000062227526,0.0039862553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990171,0.00026388123,0.000043285105,0.00025841378,0.00022462773,0.00019275829],"domain_scores_gemma":[0.99774617,0.0013884425,0.000245894,0.00015337944,0.00032271247,0.00014348974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018701828,0.0008991568,0.001655278,0.0005604297,0.0005373286,0.00097143813,0.0018975466,0.0013251872,0.0017926388],"category_scores_gemma":[0.0041407933,0.00042068405,0.00056116545,0.00061651337,0.0010981718,0.0014201947,0.0018187413,0.0012131834,0.00026677735],"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":[0.000101602825,0.00011853733,0.00067518937,0.000054476262,0.000051008876,0.00007509348,0.000062790714,0.94322634,0.001399295,0.009738247,0.0012220785,0.04327535],"study_design_scores_gemma":[0.000006713491,0.000029435765,0.000043232587,0.0000026130385,0.0000046208306,0.000009181945,0.0000033323658,0.99768806,0.00018614676,0.001886001,0.00013787171,0.0000028004044],"about_ca_topic_score_codex":0.0045281677,"about_ca_topic_score_gemma":0.003792468,"teacher_disagreement_score":0.0045281677,"about_ca_system_score_codex":0.0010430556,"about_ca_system_score_gemma":0.0018100913,"threshold_uncertainty_score":0.009890616},"labels":[],"label_agreement":null},{"id":"W4402896756","doi":"10.1109/tvt.2024.3464128","title":"Dual Anti-Jamming Alleviation for Radio Frequency/Free-Space Optical (RF/FSO) Tactical Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Radio frequency; Jamming; Free space; Free-space optical communication; Electronic engineering; Cellular radio; Electrical engineering; Electromagnetic interference; Computer science; Optical communication; Engineering; Telecommunications; Physics; Optics; Base station","score_opus":0.012884802607819356,"score_gpt":0.23670913685501507,"score_spread":0.22382433424719572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402896756","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":[0.036357123,0.00040649416,0.95957625,0.00016662812,0.000038875005,0.000029115952,0.000012845758,0.00022118722,0.0031915195],"genre_scores_gemma":[0.94058824,0.00016829473,0.057381388,0.00010786877,0.000029341536,0.000046454792,0.00002092554,0.000019025721,0.0016383595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973804,0.00006241122,0.000009512306,0.000058082416,0.00008192144,0.00005004382],"domain_scores_gemma":[0.99971956,0.00009649351,0.000073525815,0.000025314208,0.000057893096,0.000027176678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037014778,0.0006871419,0.0005046892,0.0002151161,0.00030864778,0.000452962,0.00060771586,0.0005065751,0.0008471112],"category_scores_gemma":[0.00065946096,0.00023045551,0.00035736818,0.00015718785,0.000491723,0.000629383,0.0006932083,0.0007620081,0.0001992536],"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":[0.00012652621,0.00008742177,0.0007609796,0.00010861756,0.00004359189,0.0001265436,0.00009658084,0.8993128,0.022890067,0.007391853,0.0008830777,0.06817188],"study_design_scores_gemma":[0.000006671787,0.00005404398,0.00008324982,0.0000030299232,0.0000065088625,0.00002210407,0.000007653634,0.99738544,0.0013163238,0.00072094036,0.0003903283,0.00000373135],"about_ca_topic_score_codex":0.0015863223,"about_ca_topic_score_gemma":0.00161483,"teacher_disagreement_score":0.0015863223,"about_ca_system_score_codex":0.0003961839,"about_ca_system_score_gemma":0.0005564849,"threshold_uncertainty_score":0.0031541586},"labels":[],"label_agreement":null},{"id":"W4402916073","doi":"10.1109/tvt.2024.3466511","title":"Efficient Adversarial Attacks Against DRL-Based Resource Allocation in Intelligent O-RAN for V2X","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"Memorial University of Newfoundland","funders":"","keywords":"Ran; Computer science; Adversarial system; Computer network; Resource allocation; Resource management (computing); C-RAN; Computer security; Base station; Artificial intelligence; Radio access network","score_opus":0.01370541891962701,"score_gpt":0.2553397527783877,"score_spread":0.2416343338587607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402916073","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":[0.25610787,0.00031908293,0.73456377,0.00081805367,0.00009202322,0.00010953685,0.000062347186,0.0013103532,0.0066169454],"genre_scores_gemma":[0.9871241,0.00003059385,0.011917018,0.00011668025,0.000006956708,0.000020894931,0.000016925589,0.000019660934,0.00074725115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984804,0.00055160327,0.000057689034,0.0002447862,0.00036203983,0.0003034277],"domain_scores_gemma":[0.99647635,0.0018794882,0.0005529054,0.0005679759,0.0003429159,0.0001803279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018412601,0.00059521047,0.00049825606,0.00027370002,0.00042195723,0.0007287019,0.00092195347,0.0007049248,0.0009099026],"category_scores_gemma":[0.006261049,0.00023726694,0.00033552296,0.00014493988,0.0014468526,0.0012572285,0.0016238441,0.0013092078,0.00019486777],"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":[0.00029684082,0.0000669892,0.001975699,0.00003572788,0.000047946352,0.0001387121,0.000090119844,0.9510352,0.008945175,0.012178549,0.0008252939,0.024363788],"study_design_scores_gemma":[0.000005136346,0.0000359473,0.00011800354,0.000003011022,0.0000034364134,0.000018996736,0.000008502999,0.9956808,0.0016814055,0.0022672976,0.00017325558,0.00000406928],"about_ca_topic_score_codex":0.002077135,"about_ca_topic_score_gemma":0.002152793,"teacher_disagreement_score":0.002077135,"about_ca_system_score_codex":0.0010267553,"about_ca_system_score_gemma":0.00096557057,"threshold_uncertainty_score":0.009737611},"labels":[],"label_agreement":null},{"id":"W4402979563","doi":"10.1109/tvt.2024.3454438","title":"Learning-Assisted Dynamic VNF Selection and Chaining for 6G Satellite-Ground Integrated Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","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":"McMaster University; University of Waterloo; University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Chaining; Computer science; Satellite; Selection (genetic algorithm); Communications satellite; Engineering; Artificial intelligence; Aerospace engineering","score_opus":0.0114330898157625,"score_gpt":0.2410221563317922,"score_spread":0.2295890665160297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402979563","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":[0.08943978,0.00032379344,0.90757275,0.00024621162,0.00003417135,0.00007961353,0.000077965924,0.00038946883,0.0018361526],"genre_scores_gemma":[0.9387137,0.00016128202,0.059251234,0.000074105184,0.000026783278,0.00009394139,0.00014845419,0.000030256575,0.0015003154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992605,0.00019293345,0.00003649185,0.00018857652,0.00014106915,0.00018054483],"domain_scores_gemma":[0.99839884,0.0009210108,0.00024609218,0.00010545291,0.00017639589,0.00015212296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012589594,0.00064723165,0.0009346259,0.0005256996,0.00066131697,0.0006476578,0.0014280702,0.0008134802,0.0015668828],"category_scores_gemma":[0.0031012858,0.00037920757,0.00040558347,0.0006678728,0.0007620223,0.0010610132,0.001016005,0.0010690581,0.00016609483],"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":[0.00007150214,0.00006072146,0.0008735405,0.000021279022,0.000015949157,0.000038986273,0.00004202376,0.96099013,0.00067008816,0.0023134286,0.00039706312,0.03450521],"study_design_scores_gemma":[0.0000035544551,0.000013067789,0.00005700731,0.0000012079996,0.0000019777488,0.000003978376,0.0000041744106,0.99868697,0.00016097103,0.0009942673,0.00007116236,0.0000016721234],"about_ca_topic_score_codex":0.012841555,"about_ca_topic_score_gemma":0.01012447,"teacher_disagreement_score":0.012841555,"about_ca_system_score_codex":0.0012030447,"about_ca_system_score_gemma":0.0015586147,"threshold_uncertainty_score":0.025533617},"labels":[],"label_agreement":null},{"id":"W4402979648","doi":"10.1109/tvt.2024.3471869","title":"Correlation-Based Multi-Stage Channel Estimation for RIS-Assisted Multi-User mmWave Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"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 British Columbia","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Stage (stratigraphy); Channel (broadcasting); Correlation; Computer science; Electronic engineering; Engineering; Telecommunications; Mathematics; Geology","score_opus":0.04026535690833004,"score_gpt":0.2718460860568039,"score_spread":0.23158072914847383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402979648","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":[0.006845435,0.00018603953,0.991808,0.000040978688,0.000021299586,0.000017715747,0.000021370126,0.00026733952,0.0007917519],"genre_scores_gemma":[0.5769751,0.00056417915,0.41884848,0.00019664191,0.00011447422,0.00013829338,0.00021551747,0.00007738684,0.0028699182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935645,0.00015632762,0.000027589676,0.00012234798,0.00024597422,0.00009118353],"domain_scores_gemma":[0.99927956,0.0002682197,0.00014014805,0.00010087038,0.00017707828,0.0000341263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051594316,0.0011968241,0.0006693779,0.0004529568,0.0004177333,0.00051858666,0.0010462123,0.000539255,0.0010806343],"category_scores_gemma":[0.0015453243,0.00058122736,0.0006711627,0.0006142919,0.00045841248,0.0010503457,0.0009447342,0.0010348695,0.0006072202],"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":[0.00046622023,0.00014227141,0.002683127,0.00026553927,0.00017983212,0.00033860892,0.00029009112,0.533695,0.07422748,0.013279913,0.0028271892,0.3716047],"study_design_scores_gemma":[0.000014471999,0.00010266957,0.00043405898,0.000010018679,0.000025033765,0.00008067861,0.000016924532,0.98839253,0.008803087,0.001043607,0.0010520092,0.000024962126],"about_ca_topic_score_codex":0.0030357027,"about_ca_topic_score_gemma":0.005124538,"teacher_disagreement_score":0.0030357027,"about_ca_system_score_codex":0.0004287762,"about_ca_system_score_gemma":0.0010279263,"threshold_uncertainty_score":0.006036043},"labels":[],"label_agreement":null},{"id":"W4403022881","doi":"10.1109/tvt.2024.3472030","title":"AGV-Assisted Adaptive Cooperative Transmission for State Estimation in Industrial IoT Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Power Line Communications and Noise","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":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"State (computer science); Transmission (telecommunications); Engineering; Computer science; Control engineering; Real-time computing; Embedded system; Telecommunications; Algorithm","score_opus":0.02704780014568704,"score_gpt":0.2583010101505724,"score_spread":0.23125321000488536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403022881","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":[0.047142893,0.00023161882,0.95043683,0.00010320238,0.000027124872,0.000027615846,0.000011661924,0.00023606909,0.0017829638],"genre_scores_gemma":[0.9759567,0.0000724015,0.023153696,0.00003390873,0.000011990985,0.000035160276,0.00001830614,0.000010184423,0.000707616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948835,0.00015665856,0.000021830274,0.00010474066,0.00015679862,0.00007158049],"domain_scores_gemma":[0.9992799,0.00035208327,0.000124166,0.00006720193,0.0001491846,0.000027596561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085239526,0.00055053475,0.00054329954,0.00034416743,0.0004739903,0.00048940256,0.0010655654,0.0004934709,0.00054299925],"category_scores_gemma":[0.0018156292,0.00022575511,0.00027624296,0.00048397545,0.00051802816,0.00078237825,0.0009720956,0.0004849859,0.00012685395],"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":[0.00015282241,0.000068150424,0.0010880831,0.00008369258,0.000040833966,0.00014279256,0.00027907162,0.9028467,0.010905037,0.0077224555,0.00090709445,0.07576331],"study_design_scores_gemma":[0.000004627791,0.00003695487,0.000089469126,0.000002050116,0.0000042222878,0.000014790779,0.000013621656,0.9978872,0.0008200386,0.000957219,0.00016632806,0.0000033808112],"about_ca_topic_score_codex":0.0039063725,"about_ca_topic_score_gemma":0.003864074,"teacher_disagreement_score":0.0039063725,"about_ca_system_score_codex":0.0004559661,"about_ca_system_score_gemma":0.0009081422,"threshold_uncertainty_score":0.00776726},"labels":[],"label_agreement":null},{"id":"W4403448002","doi":"10.1109/tvt.2024.3481462","title":"Total Computational Bits Maximization for STAR-RIS Aided Wireless Power Transfer Mobile Edge Computing Networks: TDMA or NOMA?","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Time division multiple access; Computer science; Wireless; Noma; Wireless power transfer; Mobile edge computing; Enhanced Data Rates for GSM Evolution; Maximum power transfer theorem; Computer network; Power (physics); Electronic engineering; Telecommunications; Engineering; Physics; Telecommunications link","score_opus":0.007703937596274763,"score_gpt":0.22083312753746662,"score_spread":0.21312918994119184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403448002","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":[0.07325527,0.00078323414,0.91638947,0.0004585885,0.00006363002,0.000056381883,0.000099767436,0.00014204526,0.008751639],"genre_scores_gemma":[0.9175077,0.0007216783,0.07664272,0.00013653388,0.00005070506,0.00012854679,0.000121704266,0.000047066562,0.004643347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996606,0.00013579092,0.000011163781,0.000057254656,0.00006636781,0.00006877691],"domain_scores_gemma":[0.99956495,0.00025837705,0.00005500168,0.000029364317,0.0000659978,0.000026234491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006381649,0.0009926074,0.0007673238,0.0002756757,0.00031470996,0.0010538906,0.00069185765,0.00056645874,0.0016263966],"category_scores_gemma":[0.0013861319,0.0003018248,0.00038257262,0.0007782076,0.0008209219,0.0009616476,0.00075107045,0.0006309472,0.00030986042],"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":[0.00013734857,0.000035616486,0.00030705717,0.00007301529,0.000026690886,0.00007319621,0.000048805432,0.96281815,0.0033466225,0.012410658,0.0011119439,0.019610908],"study_design_scores_gemma":[0.0000056844806,0.000033769953,0.00007375565,0.000003486152,0.00000567102,0.000016181122,0.000014228011,0.9968194,0.0007993928,0.0020109108,0.00021401829,0.000003563444],"about_ca_topic_score_codex":0.0026342284,"about_ca_topic_score_gemma":0.0027733082,"teacher_disagreement_score":0.0026342284,"about_ca_system_score_codex":0.0008970837,"about_ca_system_score_gemma":0.0011072478,"threshold_uncertainty_score":0.006508827},"labels":[],"label_agreement":null},{"id":"W4403599845","doi":"10.1109/tvt.2024.3481300","title":"Connectivity Analysis for V2I Communications in Cognitive Vehicular Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Cognitive radio; Cognition; Computer science; Computer network; Telecommunications; Wireless; Psychology; Neuroscience","score_opus":0.03266512983851454,"score_gpt":0.29430016428247985,"score_spread":0.2616350344439653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403599845","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":[0.20794404,0.002798228,0.76732945,0.0006772513,0.0000705194,0.000113278205,0.00032508574,0.00022423931,0.020517964],"genre_scores_gemma":[0.98959816,0.0010448919,0.007703547,0.000053831063,0.00004566623,0.000058868794,0.00015665966,0.000025470395,0.0013128641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952364,0.00012275463,0.000018495497,0.0000754026,0.00014652709,0.00011324237],"domain_scores_gemma":[0.9982034,0.0011691616,0.00020114379,0.00006006107,0.00030986144,0.00005645256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061789487,0.0005344246,0.00040559735,0.0018676425,0.00067213306,0.0008146627,0.00095713703,0.0006229129,0.0015329665],"category_scores_gemma":[0.004717897,0.0002209737,0.000537502,0.0013592344,0.0007475698,0.0011485147,0.0007078933,0.0005009883,0.00018623305],"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":[0.000057988913,0.00002021393,0.002757292,0.00008408868,0.000027878365,0.00031183605,0.00015211094,0.920042,0.002327759,0.058132716,0.0011422168,0.014943884],"study_design_scores_gemma":[0.0000015748217,0.000021009339,0.0008555901,0.000010288674,0.000009537044,0.00014982694,0.00006151442,0.9898662,0.00030028855,0.008174682,0.0005420062,0.0000075341127],"about_ca_topic_score_codex":0.008115116,"about_ca_topic_score_gemma":0.005110865,"teacher_disagreement_score":0.008115116,"about_ca_system_score_codex":0.0014774392,"about_ca_system_score_gemma":0.00069688587,"threshold_uncertainty_score":0.016135752},"labels":[],"label_agreement":null},{"id":"W4403636192","doi":"10.1109/tvt.2024.3484759","title":"Channel Estimation and Pilot Design for Ambient Internet of Things With Frequency Offsets","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Channel (broadcasting); The Internet; Internet of Things; Computer science; Estimation; Computer network; Telecommunications; Electronic engineering; Electrical engineering; Engineering; Embedded system; World Wide Web; Systems engineering","score_opus":0.011943661306326517,"score_gpt":0.21884252083512643,"score_spread":0.2068988595287999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403636192","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008638668,0.00020716584,0.99028754,0.00008165139,0.000023156366,0.000018097047,0.000022598368,0.00007333947,0.0006478068],"genre_scores_gemma":[0.72068495,0.0009235804,0.27669403,0.00013702239,0.0001272257,0.00013963952,0.00013054683,0.000041421972,0.0011215174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932337,0.00024494453,0.000032259268,0.000106254105,0.00020179704,0.000091329595],"domain_scores_gemma":[0.9978604,0.0012392998,0.00024183697,0.00017050134,0.00042426187,0.00006364951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009985584,0.00078157464,0.00063385593,0.00038464816,0.00030775275,0.0005871167,0.00046300262,0.00067313755,0.0010034636],"category_scores_gemma":[0.0052548912,0.00035840145,0.00029600735,0.0005116779,0.0008462955,0.0011771718,0.0009348686,0.0008039427,0.00034513292],"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":[0.00034942687,0.00008214399,0.0024548983,0.00040385907,0.000081031045,0.00039499684,0.00027712667,0.7811163,0.027609862,0.047511257,0.0017596255,0.13795942],"study_design_scores_gemma":[0.000026569156,0.00015256458,0.0003821546,0.000025654148,0.000026579039,0.0001813682,0.00005199974,0.9840979,0.005075878,0.00875865,0.001200497,0.00002014551],"about_ca_topic_score_codex":0.0014869679,"about_ca_topic_score_gemma":0.0012756736,"teacher_disagreement_score":0.0014869679,"about_ca_system_score_codex":0.0002721297,"about_ca_system_score_gemma":0.0013395324,"threshold_uncertainty_score":0.005280912},"labels":[],"label_agreement":null},{"id":"W4403761236","doi":"10.1109/tvt.2024.3486360","title":"Joint AP Scheduling and Precoding in RIS-Aided Distributed MIMO Networks: A Hierarchical DRL Framework","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; European Research Council; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Precoding; MIMO; Computer science; Scheduling (production processes); Joint (building); Computer network; Distributed computing; Engineering","score_opus":0.008889427972077887,"score_gpt":0.2269192225832822,"score_spread":0.2180297946112043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403761236","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":[0.01207134,0.00027526682,0.98319834,0.00024512527,0.000029759762,0.00003342475,0.000052959596,0.00022130315,0.0038724812],"genre_scores_gemma":[0.9026514,0.00029702717,0.092122115,0.00021757827,0.00008221335,0.00012229933,0.00009018132,0.00006633977,0.0043508452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928916,0.00023037859,0.000019802885,0.00012955324,0.00017059801,0.00016053811],"domain_scores_gemma":[0.9989987,0.00051262084,0.00014306787,0.0000949907,0.00016565279,0.00008498385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010488809,0.0008499877,0.0009720793,0.00030462173,0.00035303584,0.00088468473,0.0014662698,0.0008629522,0.0023365093],"category_scores_gemma":[0.0019786158,0.0004566625,0.00037841345,0.00052678527,0.0011446298,0.001176807,0.0013175168,0.0013323189,0.0005359437],"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":[0.00003567929,0.00003759962,0.00019618242,0.000039855393,0.000014575376,0.00006367525,0.00004129589,0.97260743,0.0016907023,0.009930926,0.0006684176,0.014673682],"study_design_scores_gemma":[0.000004396015,0.0000130167555,0.000023260178,0.0000016003272,0.0000023083776,0.0000065769095,0.000006311466,0.9979291,0.00016193953,0.0017093812,0.00013961646,0.0000023975647],"about_ca_topic_score_codex":0.004867833,"about_ca_topic_score_gemma":0.006166163,"teacher_disagreement_score":0.004867833,"about_ca_system_score_codex":0.0010999113,"about_ca_system_score_gemma":0.0015448381,"threshold_uncertainty_score":0.00967896},"labels":[],"label_agreement":null},{"id":"W4403827286","doi":"10.1109/tvt.2024.3486739","title":"Multiple Access Interference Analysis for Multi-Satellite Joint Service","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","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":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Interference (communication); Joint (building); Computer science; Communications satellite; Telecommunications; Satellite; Service (business); Computer network; Remote sensing; Engineering; Channel (broadcasting); Aerospace engineering; Geology","score_opus":0.08119873383367643,"score_gpt":0.3061119182977291,"score_spread":0.22491318446405267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403827286","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":[0.028475085,0.002849753,0.939378,0.0007864628,0.000239484,0.00006677329,0.00034159046,0.00047906642,0.027383732],"genre_scores_gemma":[0.9102492,0.0042059254,0.06281762,0.0008140008,0.0005436154,0.00022512427,0.00081957655,0.00033083363,0.01999405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979892,0.00039560202,0.00006127488,0.00021364527,0.00092405773,0.0004162882],"domain_scores_gemma":[0.99552405,0.0022659402,0.0005046934,0.00033991452,0.0012233253,0.00014204491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019499089,0.0014109443,0.0010246646,0.0015598595,0.0008846957,0.0015745545,0.0013969677,0.0011084889,0.006729887],"category_scores_gemma":[0.0063338503,0.000456518,0.0014105794,0.0022313825,0.0012924223,0.0021854953,0.0013706967,0.0020256562,0.0016993346],"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":[0.00020999018,0.00012793807,0.0034437545,0.0003812698,0.00019410648,0.0009877679,0.00040609573,0.58674127,0.010061267,0.35974964,0.008679887,0.029016938],"study_design_scores_gemma":[0.0000056007375,0.000022567014,0.00055105257,0.000020427146,0.00002541855,0.00015769355,0.000042561078,0.9737815,0.001022914,0.02244819,0.0019032467,0.000018860444],"about_ca_topic_score_codex":0.0071183746,"about_ca_topic_score_gemma":0.0040064533,"teacher_disagreement_score":0.0071183746,"about_ca_system_score_codex":0.0024623324,"about_ca_system_score_gemma":0.001605271,"threshold_uncertainty_score":0.022513747},"labels":[],"label_agreement":null},{"id":"W4403919882","doi":"10.1109/tvt.2024.3488194","title":"Enhancing the Safety of Autonomous Driving Systems via AoI-Optimized Task Scheduling","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Human-Automation Interaction and Safety","field":"Psychology","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":"University of Victoria","funders":"","keywords":"Scheduling (production processes); Computer science; Task (project management); Vehicle safety; Processor scheduling; Embedded system; Engineering; Real-time computing; Automotive engineering; Simulation; Systems engineering; Computer network; Resource (disambiguation)","score_opus":0.010613031201884546,"score_gpt":0.28841314610712765,"score_spread":0.2778001149052431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403919882","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":[0.09967284,0.00032134153,0.893604,0.00047923555,0.000098104625,0.00013005034,0.000106315805,0.00096443336,0.0046236813],"genre_scores_gemma":[0.87801534,0.0001178441,0.120258145,0.00009327972,0.0000396056,0.00008337858,0.00009694951,0.00009077215,0.0012047675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992803,0.00015339554,0.000037846083,0.00013641563,0.0001824907,0.00020956289],"domain_scores_gemma":[0.99876225,0.00044160002,0.00022380608,0.00016009227,0.00027346215,0.00013879563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010541892,0.0008493335,0.0005849922,0.00043920524,0.0005198145,0.00069931353,0.0011837967,0.00045561654,0.0011803309],"category_scores_gemma":[0.003313805,0.0003167789,0.00038137715,0.0004706637,0.0005354957,0.0009322672,0.000852243,0.00084599765,0.00024855786],"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":[0.00014959219,0.0001136959,0.0010385726,0.000057841196,0.000018533356,0.00004249454,0.00005993879,0.9326489,0.007089884,0.0044863713,0.0014798093,0.05281433],"study_design_scores_gemma":[0.000009619675,0.00004411563,0.00013671305,0.0000025640325,0.0000044281255,0.000010847343,0.000013912266,0.9962065,0.0009713541,0.0022131628,0.000383614,0.0000031157808],"about_ca_topic_score_codex":0.005246558,"about_ca_topic_score_gemma":0.0063929134,"teacher_disagreement_score":0.005246558,"about_ca_system_score_codex":0.0011998586,"about_ca_system_score_gemma":0.0034683743,"threshold_uncertainty_score":0.010432005},"labels":[],"label_agreement":null},{"id":"W4403938286","doi":"10.1109/tvt.2024.3485511","title":"A Novel Motion Planning for Autonomous Vehicles Using Point Cloud Based Potential Field","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"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 Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Point cloud; Motion planning; Cloud computing; Field (mathematics); Computer science; Motion (physics); Point (geometry); Potential field; Aerospace engineering; Engineering; Artificial intelligence; Physics; Mathematics; Robot; Geometry","score_opus":0.01302664332852313,"score_gpt":0.23844330098782318,"score_spread":0.22541665765930005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403938286","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":[0.0036217421,0.00008029954,0.9953275,0.00004745704,0.000016486965,0.000022970293,0.00002154337,0.00013536784,0.0007266559],"genre_scores_gemma":[0.45280364,0.00030596467,0.543894,0.00007095107,0.000041080602,0.00022261792,0.00018205041,0.000090251975,0.0023894454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985373,0.000024047387,0.0000048673583,0.000029861829,0.00007188,0.000015616],"domain_scores_gemma":[0.9998648,0.000055959626,0.000017436394,0.000010986764,0.000035204383,0.000015665846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025742507,0.0005743155,0.00042445003,0.00053722516,0.00040004074,0.00044216576,0.00085297786,0.0006305766,0.0011301247],"category_scores_gemma":[0.0006552456,0.00033995876,0.0005007431,0.00048601185,0.000385554,0.0007205029,0.00076959067,0.0006144169,0.00026812317],"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":[0.0000456141,0.000022291613,0.00035122936,0.000058721118,0.0000134430575,0.000102619684,0.00004700786,0.9044169,0.007520522,0.007827355,0.0010516281,0.07854255],"study_design_scores_gemma":[0.0000034969578,0.000013983602,0.000043487922,0.0000032243638,0.0000011215429,0.000016040569,0.0000034787627,0.9978362,0.00044427995,0.00115047,0.00048076775,0.0000035363435],"about_ca_topic_score_codex":0.0059125987,"about_ca_topic_score_gemma":0.0038584028,"teacher_disagreement_score":0.0059125987,"about_ca_system_score_codex":0.00038778284,"about_ca_system_score_gemma":0.001009635,"threshold_uncertainty_score":0.0117563605},"labels":[],"label_agreement":null},{"id":"W4404239091","doi":"10.1109/tvt.2024.3487015","title":"Cooperative Learning-Based Framework for VNF Caching and Placement Optimization Over Low Earth Orbit Satellite Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","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":"École de Technologie Supérieure; Carleton University","funders":"National Research Foundation of Korea","keywords":"Low earth orbit; Satellite; Computer science; Medium Earth orbit; Communications satellite; Satellite broadcasting; Geocentric orbit; Computer network; Aerospace engineering; Engineering","score_opus":0.009330960579132007,"score_gpt":0.24139196516954986,"score_spread":0.23206100459041784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404239091","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":[0.0162387,0.00035990283,0.980354,0.0002455338,0.000048438553,0.00005751486,0.00006962683,0.00040891263,0.0022173054],"genre_scores_gemma":[0.848979,0.0003512944,0.14476718,0.00026373894,0.00011305774,0.00027789676,0.00023116404,0.00013724205,0.0048794337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991672,0.00020961853,0.00003607427,0.00020032158,0.00018340306,0.00020339276],"domain_scores_gemma":[0.9981427,0.0010606957,0.0001863597,0.00010129602,0.00034866817,0.00016032808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016011022,0.0010940466,0.0017752623,0.0004955931,0.00062943395,0.0011988744,0.002795424,0.0014582152,0.0030160332],"category_scores_gemma":[0.0035512617,0.0006818228,0.0006540935,0.0010323387,0.00094710547,0.0012799534,0.0015182081,0.0016982219,0.00041070525],"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":[0.00003261894,0.000030346086,0.00023544661,0.000024835494,0.000012311686,0.000033083234,0.000027158896,0.98568255,0.0003012675,0.0026790393,0.00048956205,0.010451638],"study_design_scores_gemma":[0.0000035816076,0.0000075013854,0.000017149354,0.0000012240912,0.000001755228,0.0000027421622,0.00000353264,0.99890757,0.000043358974,0.0009249972,0.00008538764,0.0000011937366],"about_ca_topic_score_codex":0.021434925,"about_ca_topic_score_gemma":0.017767912,"teacher_disagreement_score":0.021434925,"about_ca_system_score_codex":0.0018827745,"about_ca_system_score_gemma":0.0027003468,"threshold_uncertainty_score":0.04262036},"labels":[],"label_agreement":null},{"id":"W4404239104","doi":"10.1109/tvt.2024.3492183","title":"Digital Twin-Driven VCTS Control: An Iterative Apporach Using Model-Based Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advancements in Semiconductor Devices and Circuit Design","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":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Control (management); Iterative method; Artificial intelligence; Algorithm","score_opus":0.016986651177867712,"score_gpt":0.2505065242179267,"score_spread":0.23351987304005897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404239104","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":[0.023806458,0.000108380365,0.9723145,0.000119769495,0.000039869996,0.00006338142,0.000021424212,0.0005203736,0.0030058336],"genre_scores_gemma":[0.95676965,0.00006159191,0.041193247,0.00009007805,0.000017881379,0.000096145624,0.00005619598,0.000033320204,0.0016818118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949586,0.00011092884,0.000024771667,0.00013770499,0.0001554483,0.00007519118],"domain_scores_gemma":[0.9993349,0.00026768766,0.000100881545,0.00008252586,0.00015262773,0.000061432205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092543376,0.00066956994,0.00065938145,0.0003557707,0.00036461075,0.0007735198,0.0014104258,0.00066582795,0.0014299824],"category_scores_gemma":[0.0019945283,0.00034323896,0.00042355273,0.00031353452,0.0009864672,0.0007128474,0.0016398192,0.00092346483,0.00019654943],"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":[0.00007098708,0.000051300052,0.000661415,0.000039785147,0.000027088972,0.00005680586,0.0000700273,0.9531829,0.0029337942,0.005297655,0.00051826733,0.037089914],"study_design_scores_gemma":[0.000004424682,0.00002440022,0.000038872295,0.0000024829096,0.0000028001828,0.0000066488324,0.0000027923745,0.9986733,0.0003694363,0.0006271177,0.0002449814,0.000002790495],"about_ca_topic_score_codex":0.0096629495,"about_ca_topic_score_gemma":0.006356013,"teacher_disagreement_score":0.0096629495,"about_ca_system_score_codex":0.0006735974,"about_ca_system_score_gemma":0.0013433723,"threshold_uncertainty_score":0.019213438},"labels":[],"label_agreement":null},{"id":"W4404479647","doi":"10.1109/tvt.2024.3499976","title":"RL and DRL Based Distributed User Access Schemes in Multi-UAV Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Distributed computing","score_opus":0.010271374720419156,"score_gpt":0.24237253303190068,"score_spread":0.2321011583114815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404479647","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":[0.05558483,0.0006620894,0.9399799,0.0003006455,0.00006408088,0.000058043115,0.000028919403,0.00040603115,0.0029155393],"genre_scores_gemma":[0.97482944,0.00012344617,0.023456564,0.0000742917,0.000023302466,0.00004349142,0.000018735916,0.000015985353,0.0014147329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988674,0.0003954969,0.000047900125,0.0002309114,0.00023176655,0.00022667984],"domain_scores_gemma":[0.9983176,0.0008307923,0.00026596876,0.00015916549,0.0002985073,0.0001279964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015759208,0.0006931518,0.001093866,0.000395947,0.0005491499,0.00093690795,0.0015874306,0.0007535183,0.0012342252],"category_scores_gemma":[0.0030228372,0.00028825473,0.00035767152,0.00042882975,0.0010016952,0.001111646,0.0012683934,0.0010062697,0.00023507306],"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":[0.00016713716,0.00009645687,0.00049450767,0.000049350176,0.00003255533,0.000090744375,0.00007433158,0.94870853,0.0026820228,0.007783111,0.0006611982,0.039159995],"study_design_scores_gemma":[0.0000069363505,0.000027268346,0.000035696063,0.0000013575632,0.0000027010858,0.000010622301,0.0000045920865,0.9983752,0.00025922336,0.0011923594,0.00008163737,0.0000025042334],"about_ca_topic_score_codex":0.0038558454,"about_ca_topic_score_gemma":0.0034504642,"teacher_disagreement_score":0.0038558454,"about_ca_system_score_codex":0.0012812208,"about_ca_system_score_gemma":0.0009907439,"threshold_uncertainty_score":0.00929594},"labels":[],"label_agreement":null},{"id":"W4404479833","doi":"10.1109/tvt.2024.3499962","title":"Adaptive Prioritization and Task Offloading in Vehicular Edge Computing Through Deep Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":16,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Prioritization; Computer science; Task (project management); Edge computing; Mobile edge computing; Enhanced Data Rates for GSM Evolution; Computer network; Distributed computing; Artificial intelligence; Engineering; Systems engineering","score_opus":0.017475252964202086,"score_gpt":0.2592201785151448,"score_spread":0.2417449255509427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404479833","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":[0.15691732,0.0004589911,0.83699304,0.0005550547,0.000094385614,0.000067957735,0.00006466521,0.0006912314,0.0041573695],"genre_scores_gemma":[0.9750403,0.000081326136,0.023242364,0.00011264977,0.000012650096,0.000037370355,0.000041781743,0.000027388805,0.0014040585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999629,0.00007997038,0.000013445493,0.00007695225,0.00006636039,0.00013414107],"domain_scores_gemma":[0.99941885,0.00026417372,0.000059963833,0.000045799592,0.00012538042,0.00008598782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007033015,0.0006449429,0.00057542336,0.00022952969,0.00036887242,0.00065655645,0.0013440747,0.00051438215,0.0010648445],"category_scores_gemma":[0.0022763007,0.0002905855,0.0002332112,0.00025690085,0.0006454896,0.0009006899,0.0009503663,0.0010611366,0.0001651473],"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":[0.00013771941,0.000095548785,0.0013869232,0.000035011995,0.000016530672,0.000052144936,0.00004922212,0.9574729,0.002927999,0.0035394717,0.0009814389,0.03330509],"study_design_scores_gemma":[0.0000049792484,0.000016842621,0.00006848508,0.0000017438979,0.0000023207785,0.000004164661,0.0000061522114,0.99802244,0.000332343,0.0014257375,0.00011299618,0.0000018757298],"about_ca_topic_score_codex":0.00899225,"about_ca_topic_score_gemma":0.013531259,"teacher_disagreement_score":0.00899225,"about_ca_system_score_codex":0.00095337507,"about_ca_system_score_gemma":0.0017466082,"threshold_uncertainty_score":0.017879844},"labels":[],"label_agreement":null},{"id":"W4404577064","doi":"10.1109/tvt.2024.3504278","title":"WLB-CANUN: Widely Linear Beamforming in Coprime Array With Non-Uniform Noise","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Beamforming; Coprime integers; Noise (video); Acoustics; Adaptive beamformer; Electronic engineering; Computer science; Engineering; Physics; Algorithm; Artificial intelligence","score_opus":0.007514226096817758,"score_gpt":0.23074291607933364,"score_spread":0.22322868998251588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404577064","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":[0.0015505935,0.00022488085,0.99647164,0.00008005575,0.000057020927,0.00001609744,0.00002094011,0.00017367736,0.0014050663],"genre_scores_gemma":[0.14798985,0.0013845416,0.83998775,0.00052856264,0.00021374482,0.00027465017,0.00041064087,0.00023877225,0.008971475],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989077,0.00028666857,0.000042547883,0.00026237263,0.0004080495,0.00009268981],"domain_scores_gemma":[0.99948895,0.00013806236,0.00006124021,0.00010475961,0.00016596234,0.000040995117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007709482,0.0012801095,0.0008223272,0.00052603794,0.0005562887,0.00089120615,0.0011018856,0.00093273557,0.0023665563],"category_scores_gemma":[0.0014271594,0.0004045777,0.00058086327,0.0012752309,0.0010598333,0.0014068251,0.0015019965,0.0014119268,0.0011877521],"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":[0.00030685886,0.00009492279,0.0012863628,0.00030299128,0.00011634687,0.00034597726,0.0002636695,0.23299564,0.06808427,0.16962871,0.01084808,0.5157262],"study_design_scores_gemma":[0.000031598593,0.0001339523,0.00033486862,0.000042599495,0.000024443569,0.0002676925,0.000065961525,0.9391544,0.014710078,0.027456338,0.017720731,0.000057272904],"about_ca_topic_score_codex":0.0023403808,"about_ca_topic_score_gemma":0.0033957297,"teacher_disagreement_score":0.0023665563,"about_ca_system_score_codex":0.0005590991,"about_ca_system_score_gemma":0.0009505035,"threshold_uncertainty_score":0.007916868},"labels":[],"label_agreement":null},{"id":"W4405179948","doi":"10.1109/tvt.2024.3512944","title":"Mobility-Aware Partial Task Offloading and Resource Allocation Based on Deep Reinforcement Learning for Mobile Edge Computing","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Mobile edge computing; Computer science; Task (project management); Resource allocation; Computer network; Mobile computing; Enhanced Data Rates for GSM Evolution; Resource management (computing); Mobile telephony; Edge computing; Distributed computing; Human–computer interaction; Multimedia; Server; Artificial intelligence; Engineering; Mobile radio; Systems engineering","score_opus":0.00997103203503662,"score_gpt":0.2439369198468829,"score_spread":0.23396588781184627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405179948","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08972529,0.00070678105,0.9042322,0.00037946965,0.0000850975,0.000046161284,0.00004563419,0.0005129496,0.00426648],"genre_scores_gemma":[0.9756246,0.0001420977,0.022443604,0.000116641735,0.000019607081,0.000050433893,0.000050489667,0.000024684827,0.0015276186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979275,0.00003569323,0.00001063711,0.000052346255,0.00003876803,0.00006986842],"domain_scores_gemma":[0.9997118,0.000119194716,0.00004541109,0.000023820397,0.000056986897,0.00004273771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032994695,0.0006322712,0.00062815,0.00017887611,0.00027502334,0.00045914217,0.0009717497,0.00051840005,0.0010826034],"category_scores_gemma":[0.0010496116,0.00024073811,0.0003298686,0.00022162357,0.0004337506,0.0006315061,0.00079603016,0.00094396184,0.00014684125],"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":[0.00008981018,0.00009871934,0.0011568024,0.000050504932,0.000026348102,0.000086894404,0.000049135197,0.9402052,0.0040725754,0.0033423295,0.0012823117,0.049539305],"study_design_scores_gemma":[0.0000029785972,0.000010909448,0.000050073693,0.0000014240961,0.0000020101447,0.0000044743515,0.0000025407292,0.99918216,0.00017735086,0.0004896473,0.00007488553,0.0000015836085],"about_ca_topic_score_codex":0.0073685176,"about_ca_topic_score_gemma":0.007062602,"teacher_disagreement_score":0.0073685176,"about_ca_system_score_codex":0.0005724385,"about_ca_system_score_gemma":0.0010520498,"threshold_uncertainty_score":0.014651239},"labels":[],"label_agreement":null},{"id":"W4405219778","doi":"10.1109/tvt.2024.3512204","title":"Predictive Health-Conscious Energy Management Strategy of a Hybrid Multi-Stack Fuel Cell Vehicle","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","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":"Carleton University","funders":"","keywords":"Stack (abstract data type); Fuel cells; Energy management; Automotive engineering; Hybrid vehicle; Energy (signal processing); Model predictive control; Computer science; Engineering; Power (physics); Control (management); Artificial intelligence","score_opus":0.008971466780911574,"score_gpt":0.22083248610205505,"score_spread":0.21186101932114348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405219778","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":[0.5114132,0.00088800845,0.47466716,0.0005866311,0.00008855374,0.00010243359,0.000091640395,0.00067255826,0.01148975],"genre_scores_gemma":[0.996837,0.0000399636,0.0026491752,0.00002404655,0.000004074324,0.000013099617,0.00001535745,0.0000029511477,0.0004142624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998418,0.00002227895,0.0000078047615,0.000039719554,0.000048333182,0.00003997896],"domain_scores_gemma":[0.99983704,0.000042749747,0.000033816606,0.000009465087,0.00005669117,0.000020165626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032121842,0.0006302966,0.0005371606,0.00032741413,0.00042805355,0.0007067268,0.0007751531,0.00053106376,0.0006619012],"category_scores_gemma":[0.0003756908,0.0002832699,0.0002912912,0.00016935116,0.00034030134,0.0005079209,0.0005624726,0.0004334249,0.00009220106],"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":[0.00012019022,0.000049619335,0.0011819664,0.000033244356,0.00002368772,0.00012795438,0.000040734245,0.97143847,0.005132938,0.0006370444,0.00026959265,0.02094464],"study_design_scores_gemma":[0.0000050048147,0.000040544473,0.00022252067,0.0000017148147,0.0000066569896,0.0000071823288,0.000009686961,0.9986634,0.0007789389,0.00018884293,0.00007251191,0.000002976716],"about_ca_topic_score_codex":0.011878934,"about_ca_topic_score_gemma":0.00789266,"teacher_disagreement_score":0.011878934,"about_ca_system_score_codex":0.0006113493,"about_ca_system_score_gemma":0.00070831267,"threshold_uncertainty_score":0.023619592},"labels":[],"label_agreement":null},{"id":"W4405305553","doi":"10.1109/tvt.2024.3515992","title":"MV-STGHAT: Multi-View Spatial-Temporal Graph Hybrid Attention Network for Decision-Making of Connected and Autonomous Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Graph; Graph theory; Artificial intelligence; Theoretical computer science; Mathematics","score_opus":0.00817217478572224,"score_gpt":0.23362339397821308,"score_spread":0.22545121919249084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405305553","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":[0.04244611,0.0010523227,0.9486164,0.00071770215,0.00022389306,0.00008264278,0.00034824348,0.0019175162,0.004595055],"genre_scores_gemma":[0.89896554,0.00051754585,0.09234679,0.0005110681,0.0001040683,0.00012878532,0.0009285021,0.00014898696,0.0063487585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999676,0.00006432681,0.000012484137,0.000108313194,0.00006747078,0.000071398106],"domain_scores_gemma":[0.99958736,0.0001748079,0.000047842215,0.000033639157,0.000106520936,0.000049951315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052144687,0.0011096727,0.0007410926,0.0006662704,0.00041145273,0.0006683395,0.001741152,0.0011337494,0.002322092],"category_scores_gemma":[0.0013922799,0.00044378435,0.0007731962,0.0006044109,0.0005517109,0.0010721332,0.0011039827,0.001514733,0.00035257035],"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":[0.00012457375,0.0001080487,0.0018373211,0.00008171624,0.0000908098,0.00015828376,0.000085419284,0.85731876,0.003440758,0.008254639,0.0053080143,0.12319168],"study_design_scores_gemma":[0.0000035494452,0.000015196288,0.00008944353,0.0000027390477,0.000006367997,0.000007757101,0.0000043739856,0.99638283,0.00029174675,0.002847039,0.00034570415,0.0000031672132],"about_ca_topic_score_codex":0.031425513,"about_ca_topic_score_gemma":0.03352307,"teacher_disagreement_score":0.031425513,"about_ca_system_score_codex":0.0014883336,"about_ca_system_score_gemma":0.0015834324,"threshold_uncertainty_score":0.06248516},"labels":[],"label_agreement":null},{"id":"W4405440245","doi":"10.1109/tvt.2024.3518836","title":"OCD-FL: A Novel Communication-Efficient Peer Selection-Based Decentralized Federated Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","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":"École de Technologie Supérieure","funders":"","keywords":"Selection (genetic algorithm); Computer science; Peer-to-peer; Distributed computing; Computer network; Artificial intelligence","score_opus":0.019382301222552953,"score_gpt":0.2728104037428139,"score_spread":0.25342810252026093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405440245","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":[0.03018769,0.00038500864,0.9655862,0.0002854467,0.00007328822,0.00011992022,0.0000925197,0.0012760385,0.0019938797],"genre_scores_gemma":[0.8365179,0.00018585028,0.1593018,0.0004036644,0.000068459296,0.00018653141,0.00026781793,0.00005541936,0.0030125366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986474,0.0003695032,0.000060361228,0.00034501383,0.00035553353,0.00022230626],"domain_scores_gemma":[0.9983456,0.0006056348,0.00018125035,0.0002871693,0.00040026655,0.00018006895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016051022,0.00057798764,0.0012550044,0.00081746763,0.0010356654,0.0009879811,0.0034280496,0.001284069,0.001352275],"category_scores_gemma":[0.0035558832,0.000233902,0.00054183,0.0010587182,0.0008259498,0.002154033,0.0022393845,0.00084232684,0.00033917115],"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":[0.0007406607,0.0005892413,0.0030147538,0.00021680823,0.00015810625,0.00035332702,0.00028440772,0.5019337,0.012980462,0.01875423,0.010918549,0.45005584],"study_design_scores_gemma":[0.00005234103,0.00010942651,0.00019054861,0.0000058896467,0.0000134239435,0.00010133326,0.000031657404,0.99055684,0.001597887,0.0059936545,0.0013320093,0.000014836381],"about_ca_topic_score_codex":0.003184248,"about_ca_topic_score_gemma":0.0035598422,"teacher_disagreement_score":0.0034280496,"about_ca_system_score_codex":0.00090796786,"about_ca_system_score_gemma":0.0018969949,"threshold_uncertainty_score":0.008488715},"labels":[],"label_agreement":null},{"id":"W4405846276","doi":"10.1109/tvt.2024.3523430","title":"Digital Twin-Enabled Task-Driven UAV Communications Under Uncertainty","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; National Science and Technology Major Project; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Task (project management); Computer science; Engineering; Telecommunications; Systems engineering","score_opus":0.015309448559627814,"score_gpt":0.25049491107215827,"score_spread":0.23518546251253045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405846276","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":[0.05254278,0.00025538114,0.94387925,0.00014279358,0.000045362674,0.000028032391,0.000056471887,0.00013886261,0.0029110617],"genre_scores_gemma":[0.9677394,0.00013852128,0.030882891,0.000041825355,0.000018952212,0.00002810202,0.000054783482,0.000012029182,0.0010835209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917066,0.00017850741,0.00004536625,0.00017949787,0.00027856353,0.0001473697],"domain_scores_gemma":[0.9990701,0.00040923498,0.0001515618,0.00012601526,0.00017022878,0.000072901516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007976377,0.000562203,0.0006772765,0.00042568025,0.0005818143,0.0010314009,0.0009247957,0.0004927595,0.0010853796],"category_scores_gemma":[0.0029008328,0.00023054013,0.00032293395,0.00078739354,0.0005281299,0.0019951758,0.0017276008,0.0007571331,0.00015876348],"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":[0.0003317291,0.000055986122,0.0013445232,0.00011327359,0.000042193853,0.00034176142,0.0002283298,0.85061306,0.011519763,0.04187147,0.001270195,0.092267744],"study_design_scores_gemma":[0.0000059425947,0.000039007497,0.00011788584,0.0000034296706,0.0000070808437,0.00004823835,0.000031789026,0.99040157,0.001686025,0.0072284006,0.000423334,0.000007313658],"about_ca_topic_score_codex":0.0019296382,"about_ca_topic_score_gemma":0.0014865871,"teacher_disagreement_score":0.0019296382,"about_ca_system_score_codex":0.0006008627,"about_ca_system_score_gemma":0.000760351,"threshold_uncertainty_score":0.0043595433},"labels":[],"label_agreement":null},{"id":"W4406781377","doi":"10.1109/tvt.2025.3544826","title":"A Packet Collision Avoidance Resource Selection Scheme for Reliable Intra-Platoon Message Delivery in a C-V2X Network","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":6,"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":"Simon Fraser University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Platoon; Network packet; Computer science; Selection (genetic algorithm); Scheme (mathematics); Collision avoidance; Computer network; Collision; Resource (disambiguation); Distributed computing; Artificial intelligence; Computer security; Control (management); Mathematics","score_opus":0.006866589078545163,"score_gpt":0.22490893519523017,"score_spread":0.218042346116685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406781377","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":[0.13319008,0.0015510274,0.8576211,0.0003321614,0.00025703647,0.0005970404,0.000109744324,0.0014765088,0.004865372],"genre_scores_gemma":[0.9277481,0.000380293,0.069007926,0.00012983012,0.000058567257,0.00025607538,0.00013751611,0.000032624957,0.002249047],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990802,0.0002155781,0.000076859484,0.00016805193,0.00029918298,0.00016023093],"domain_scores_gemma":[0.99878114,0.00026053356,0.00018795814,0.00021025354,0.0004432983,0.00011678291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010893912,0.00079091516,0.0006302029,0.00095574924,0.001351332,0.0007917352,0.0015299129,0.00042698745,0.0009068154],"category_scores_gemma":[0.002059549,0.00026656885,0.0002949068,0.0007517124,0.0006041972,0.001111664,0.0015309929,0.0007258785,0.00021967947],"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":[0.001473866,0.00032256008,0.004591296,0.00047087777,0.00018803964,0.0010568624,0.0010758342,0.33210447,0.12897053,0.04358761,0.013079765,0.47307828],"study_design_scores_gemma":[0.000078577876,0.00062690093,0.0011636466,0.000031363103,0.000073774005,0.0004982682,0.00017374873,0.9645706,0.020768147,0.003587281,0.008344174,0.00008355227],"about_ca_topic_score_codex":0.006436937,"about_ca_topic_score_gemma":0.005126012,"teacher_disagreement_score":0.006436937,"about_ca_system_score_codex":0.0010004167,"about_ca_system_score_gemma":0.0019670217,"threshold_uncertainty_score":0.012798965},"labels":[],"label_agreement":null},{"id":"W4406891749","doi":"10.1109/tvt.2025.3533586","title":"Information-Bearing RIS Enabled NOMA System","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Noma; Bearing (navigation); Computer science; Engineering; Telecommunications; Telecommunications link; Artificial intelligence","score_opus":0.004483939507809492,"score_gpt":0.2032027373972122,"score_spread":0.19871879788940272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406891749","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":[0.20294526,0.0014637142,0.7772639,0.0004747846,0.0002897499,0.000081131,0.00010561374,0.0005930734,0.016782781],"genre_scores_gemma":[0.97570944,0.00019703309,0.020960217,0.000090853515,0.000067849156,0.00003637169,0.000028913404,0.000007869974,0.0029015704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995363,0.00014547657,0.000015910413,0.000100033045,0.00010234053,0.000099921206],"domain_scores_gemma":[0.9996271,0.00011952552,0.00008068134,0.00005454026,0.00008416626,0.00003405519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032116208,0.0006776939,0.0005656748,0.00030897543,0.00066520576,0.000848861,0.0007117464,0.0005532309,0.0011154595],"category_scores_gemma":[0.0005291008,0.00017326999,0.0003896592,0.00039142673,0.00065194705,0.00079908513,0.0008697406,0.00052765943,0.00044035583],"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":[0.0009235574,0.00026817192,0.005244376,0.0005196056,0.0002200585,0.002605663,0.00068163365,0.6416124,0.13453476,0.04601579,0.0037152339,0.1636587],"study_design_scores_gemma":[0.000030796342,0.0004558878,0.0009526774,0.000011603971,0.00007311086,0.0005350688,0.00012049657,0.9818246,0.008282138,0.0043240506,0.0033558304,0.00003385072],"about_ca_topic_score_codex":0.00083581,"about_ca_topic_score_gemma":0.0010785521,"teacher_disagreement_score":0.0011154595,"about_ca_system_score_codex":0.00033074184,"about_ca_system_score_gemma":0.0003947549,"threshold_uncertainty_score":0.0037316084},"labels":[],"label_agreement":null},{"id":"W4406983190","doi":"10.1109/tvt.2025.3536330","title":"Optimization of Rate-Splitting Multiple Access With Integrated Sensing and Backscatter Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Backscatter (email); Electronic engineering; Remote sensing; Computer science; Telecommunications; Engineering; Wireless; Geology","score_opus":0.0063458883010861205,"score_gpt":0.2121492990911017,"score_spread":0.20580341079001557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406983190","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":[0.02123467,0.0004827221,0.9726917,0.00015195436,0.00003743464,0.000047188958,0.000035324498,0.00017551529,0.0051435214],"genre_scores_gemma":[0.8130687,0.0006455238,0.18037562,0.00012944933,0.000057683683,0.00014886234,0.0000842944,0.000065689375,0.0054242294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910045,0.00032960673,0.00003142082,0.00013323198,0.00028551865,0.000119843105],"domain_scores_gemma":[0.99935716,0.00030281983,0.000114613125,0.000044304303,0.00014754516,0.00003356774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010023438,0.0011545429,0.00077511434,0.00030309387,0.00025863075,0.0010271599,0.00089396926,0.00053755194,0.001703341],"category_scores_gemma":[0.0013309086,0.00038326584,0.00037531907,0.00065836357,0.0006583717,0.0007972346,0.00090730586,0.00065744715,0.0003729026],"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":[0.00022038692,0.00011087997,0.00065279624,0.00017512577,0.000072248265,0.00016153649,0.000092149625,0.86928266,0.027342064,0.030698068,0.0015296119,0.0696626],"study_design_scores_gemma":[0.000013116678,0.00008087346,0.0000811704,0.0000054389443,0.000012938988,0.000037936454,0.000010891408,0.99464697,0.0022794479,0.0022092252,0.0006143631,0.0000075618923],"about_ca_topic_score_codex":0.0015014425,"about_ca_topic_score_gemma":0.0017557031,"teacher_disagreement_score":0.001703341,"about_ca_system_score_codex":0.000591236,"about_ca_system_score_gemma":0.0010087634,"threshold_uncertainty_score":0.0056982636},"labels":[],"label_agreement":null},{"id":"W4407098482","doi":"10.1109/tvt.2025.3537869","title":"A Secure Adaptive Resilient Neural Network-Based Control of Heterogeneous Connected Automated Vehicles Subject to Cyber Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Computer science; Control (management); Computer network; Subject (documents); Computer security; Engineering; Embedded system; Artificial intelligence","score_opus":0.00535839694475477,"score_gpt":0.21796802005686272,"score_spread":0.21260962311210796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407098482","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":[0.06839247,0.00037987044,0.919705,0.00031225602,0.00015891528,0.00007441706,0.000042235126,0.00043709602,0.010497871],"genre_scores_gemma":[0.98655903,0.000107149404,0.010589109,0.00006423923,0.000022173444,0.000058404203,0.000026144,0.000010149535,0.0025636104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964,0.00004903009,0.000013702334,0.00013771513,0.00009200651,0.000067579815],"domain_scores_gemma":[0.99979967,0.000050971295,0.000045941742,0.000016249307,0.00006833767,0.000018963588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004417567,0.0007737782,0.00051173446,0.00030201738,0.0005370424,0.00081098836,0.0013219657,0.0008746077,0.0010841148],"category_scores_gemma":[0.00086573104,0.0002594574,0.00044101893,0.00028430508,0.0008362564,0.0005724519,0.0013377309,0.0008350891,0.00016108066],"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":[0.00008731825,0.000027510097,0.00033110427,0.00003767694,0.00003066133,0.00014906266,0.00008360023,0.9689737,0.004832964,0.005710993,0.0005095214,0.01922582],"study_design_scores_gemma":[0.0000043462787,0.000032257816,0.000046634348,0.000002167366,0.000004145548,0.0000071233603,0.000005096223,0.99895823,0.0003076162,0.00044856372,0.00018118488,0.000002687345],"about_ca_topic_score_codex":0.010177591,"about_ca_topic_score_gemma":0.0055587953,"teacher_disagreement_score":0.010177591,"about_ca_system_score_codex":0.00067261816,"about_ca_system_score_gemma":0.00088333414,"threshold_uncertainty_score":0.020236671},"labels":[],"label_agreement":null},{"id":"W4407129085","doi":"10.1109/tvt.2025.3538334","title":"Placement, Orientation, and Resource Allocation Optimization for Cell-Free OIRS-Aided OWC Network","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","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":false,"ca_institutions":"York University","funders":"CHIST-ERA; National Science Foundation","keywords":"Orientation (vector space); Computer science; Resource allocation; Resource management (computing); Engineering; Distributed computing; Computer network; Mathematics","score_opus":0.006254640574846121,"score_gpt":0.21904650301221376,"score_spread":0.21279186243736764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407129085","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":[0.099840045,0.00038345155,0.88960636,0.00032548603,0.00006409072,0.00009882661,0.00012317457,0.00035879586,0.009199872],"genre_scores_gemma":[0.8615852,0.0002809282,0.13288133,0.00011609959,0.000039864808,0.00016779326,0.00017078152,0.000058091187,0.004699996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996153,0.00011532028,0.000010164103,0.000062339444,0.000089897134,0.00010706043],"domain_scores_gemma":[0.9996574,0.00016002533,0.00006373203,0.000023937699,0.00005689208,0.000038040023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005125854,0.0009586342,0.0008785521,0.00048756332,0.0005269643,0.0008809579,0.0008298627,0.0008894959,0.0018341657],"category_scores_gemma":[0.0011619062,0.0003972065,0.00034806528,0.00071296055,0.0005591521,0.0006613526,0.0009894005,0.0005669451,0.00033236874],"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":[0.000042229443,0.000024258286,0.0002824363,0.000017577278,0.0000073259444,0.00005652347,0.000024151224,0.98160017,0.0016357816,0.002402229,0.0006706384,0.013236734],"study_design_scores_gemma":[0.0000043266914,0.000018637435,0.00006549693,0.0000016763968,0.0000031530735,0.0000100926645,0.000010476101,0.9986092,0.0003674916,0.0006806964,0.00022540407,0.0000033586066],"about_ca_topic_score_codex":0.00864077,"about_ca_topic_score_gemma":0.007854168,"teacher_disagreement_score":0.00864077,"about_ca_system_score_codex":0.0013588106,"about_ca_system_score_gemma":0.0012992789,"threshold_uncertainty_score":0.01718092},"labels":[],"label_agreement":null},{"id":"W4407361658","doi":"10.1109/tvt.2025.3540845","title":"Clustering-Assisted Observation Domain Optimization for GNSS Multi-Fault Detection and Correction","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cluster analysis; GNSS applications; Computer science; Fault detection and isolation; Domain (mathematical analysis); Real-time computing; Global Positioning System; Telecommunications; Artificial intelligence; Mathematics","score_opus":0.01160285030852121,"score_gpt":0.22992524826030306,"score_spread":0.21832239795178185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407361658","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":[0.0035782172,0.00009313321,0.99542445,0.00006485348,0.000013419823,0.000012863768,0.000034621848,0.00028241973,0.00049602095],"genre_scores_gemma":[0.3775083,0.0003097097,0.6170953,0.00014757857,0.00006046449,0.00020040404,0.0005805089,0.0002731748,0.0038245851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964154,0.00013390949,0.000015797568,0.0000809925,0.00008443971,0.000043163873],"domain_scores_gemma":[0.99933666,0.00033895133,0.00010590487,0.000055707984,0.00013353229,0.00002916534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076073944,0.0009926944,0.0008190321,0.0006036032,0.00035034504,0.00054476573,0.0009309279,0.0010704527,0.0015508764],"category_scores_gemma":[0.0025017061,0.00053567614,0.00078438636,0.0009124989,0.0005994136,0.0006948933,0.0009176063,0.0010880438,0.00054259336],"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":[0.000032800723,0.000012950544,0.0001833832,0.000035071,0.00002534392,0.000014255112,0.000023592827,0.97161996,0.0009878203,0.0024140468,0.00083590805,0.023814946],"study_design_scores_gemma":[0.0000025407176,0.000004259067,0.000051620125,0.0000017225656,0.0000014738662,0.0000032129997,0.0000035947771,0.99836713,0.00023702903,0.0011059898,0.00021853262,0.0000029098512],"about_ca_topic_score_codex":0.011778642,"about_ca_topic_score_gemma":0.008735229,"teacher_disagreement_score":0.011778642,"about_ca_system_score_codex":0.0009072431,"about_ca_system_score_gemma":0.0016977304,"threshold_uncertainty_score":0.023420215},"labels":[],"label_agreement":null},{"id":"W4407594182","doi":"10.1109/tvt.2025.3528618","title":"Guest Editorial: Introduction to the Special Section on Large Models for Future Vehicles and Transportation","year":2025,"lang":"en","type":"editorial","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","funders":"","keywords":"Special section; Section (typography); Engineering; Transport engineering; Computer science; Telecommunications; Systems engineering; Engineering physics","score_opus":0.0037456406422283614,"score_gpt":0.2144008872145677,"score_spread":0.21065524657233936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407594182","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":[0.000020333191,0.0024253358,0.00020478161,0.018954594,0.9776674,0.0000075448725,0.000051242976,0.000038885053,0.0006298457],"genre_scores_gemma":[0.0002828774,0.0016944455,0.00009610542,0.009371009,0.9845979,0.000012276553,0.000032397074,0.000049151895,0.0038637558],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946115,0.0008871767,0.00062001037,0.00084727356,0.002683222,0.0003509004],"domain_scores_gemma":[0.9734986,0.009441127,0.00214194,0.0008251957,0.010827718,0.0032654074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008360482,0.0049655824,0.004956186,0.0043018423,0.0026659602,0.007571001,0.003739893,0.016350072,0.018354794],"category_scores_gemma":[0.024412543,0.001480606,0.003892829,0.0014206404,0.0020267237,0.0049297847,0.0018765712,0.018600686,0.012848067],"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":[0.000028620972,0.000009177321,0.00001851548,0.000094577874,0.000018515271,0.000067567074,0.000003549738,0.000039124745,0.000043307646,0.00024556028,0.9971723,0.0022591262],"study_design_scores_gemma":[0.00011114805,0.00005593461,0.00033229231,0.0004110326,0.00011243583,0.0002872809,0.000026306285,0.0007572411,0.0001563056,0.0025575599,0.99515694,0.00003550317],"about_ca_topic_score_codex":0.0014605868,"about_ca_topic_score_gemma":0.0042578387,"teacher_disagreement_score":0.018354794,"about_ca_system_score_codex":0.0029621976,"about_ca_system_score_gemma":0.002959308,"threshold_uncertainty_score":0.061402917},"labels":[],"label_agreement":null},{"id":"W4407638731","doi":"10.1109/tvt.2025.3542622","title":"An Evolutionary Approach for Multiple Flying Base Stations Deployment in NOMA-Based Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Base station; Noma; Software deployment; Computer science; Computer network; Engineering; Telecommunications link","score_opus":0.017192959363817248,"score_gpt":0.2506143048610199,"score_spread":0.23342134549720261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407638731","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021960087,0.0002023433,0.9749383,0.00016914029,0.00002920664,0.0000317251,0.000014868376,0.000051005187,0.002603318],"genre_scores_gemma":[0.5731889,0.00038064027,0.42220134,0.00014238145,0.000053041535,0.00021682035,0.00006056575,0.000044718134,0.003711622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996407,0.00016464443,0.000009346736,0.000038433136,0.00010528043,0.000041676856],"domain_scores_gemma":[0.99962246,0.00021435993,0.000053413238,0.000018463099,0.00006118563,0.000030128413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075531134,0.0006237675,0.00062685757,0.0005219717,0.0005049738,0.0005292327,0.0008869117,0.0008175658,0.0008537336],"category_scores_gemma":[0.0017134455,0.00044128363,0.0005768808,0.00059935014,0.0005370744,0.00051355246,0.00073771045,0.00062113965,0.00012620905],"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":[0.000012054165,0.000018120953,0.00029197524,0.000018359822,0.000015829783,0.000044148095,0.000031477317,0.97802085,0.0009797338,0.005627857,0.0001879325,0.01475164],"study_design_scores_gemma":[0.0000029256069,0.000016787255,0.00004841089,0.0000024318194,0.0000029058947,0.000010897444,0.000007220053,0.9985606,0.000110827896,0.0009998555,0.00023512283,0.0000019238432],"about_ca_topic_score_codex":0.0035881873,"about_ca_topic_score_gemma":0.005376244,"teacher_disagreement_score":0.0035881873,"about_ca_system_score_codex":0.0005931115,"about_ca_system_score_gemma":0.00076338946,"threshold_uncertainty_score":0.0071346164},"labels":[],"label_agreement":null},{"id":"W4407831686","doi":"10.1109/tvt.2025.3544337","title":"Chirped DFT-s-OFDM: A New Single-Carrier Waveform With Enhanced LMMSE Noise Suppression","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Waveform; Electronic engineering; Noise (video); Computer science; Telecommunications; Engineering; Radar","score_opus":0.006324312709307043,"score_gpt":0.2025632429371096,"score_spread":0.19623893022780253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407831686","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116863,0.002176019,0.87144846,0.0005141136,0.00032573426,0.0000557795,0.00008633853,0.00038347932,0.008147054],"genre_scores_gemma":[0.7101899,0.0012748481,0.28325662,0.00029954186,0.00021261434,0.000059202404,0.00018218988,0.00004464815,0.004480429],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981326,0.00003455321,0.000011093629,0.000023722245,0.00010417491,0.000013294567],"domain_scores_gemma":[0.99967563,0.00009516953,0.00005420337,0.00004114183,0.000108905515,0.000024920984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020425572,0.00033204508,0.000253351,0.00043574543,0.00017554779,0.00035467802,0.00046479708,0.000519649,0.0008797764],"category_scores_gemma":[0.00063964544,0.00009033258,0.00016634891,0.00042201456,0.00024078951,0.0005414108,0.00025918172,0.00042767098,0.00037723404],"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":[0.00063587533,0.00010895489,0.0014785158,0.00039180226,0.00005049618,0.00075275224,0.00014876667,0.03219834,0.4669528,0.025825217,0.001935064,0.46952137],"study_design_scores_gemma":[0.00006068774,0.001143303,0.0016612757,0.00007275386,0.00005427587,0.0029512686,0.000065888424,0.717791,0.24772805,0.004609065,0.023806762,0.000055686534],"about_ca_topic_score_codex":0.00018420754,"about_ca_topic_score_gemma":0.00031272045,"teacher_disagreement_score":0.0008797764,"about_ca_system_score_codex":0.00019091308,"about_ca_system_score_gemma":0.00024491138,"threshold_uncertainty_score":0.0029430985},"labels":[],"label_agreement":null},{"id":"W4407901635","doi":"10.1109/tvt.2025.3545253","title":"RIS Assisted Near-Field NOMA Communications: A Security-Fairness Trade-Off","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Noma; Computer network; Computer science; Field (mathematics); Telecommunications; Throughput; Computer security; Business; Telecommunications link; Wireless","score_opus":0.00948401449635772,"score_gpt":0.25283578998045214,"score_spread":0.24335177548409442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407901635","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":[0.08938891,0.00035586234,0.89923394,0.00041681048,0.00006564821,0.00006906681,0.000039885184,0.00015734014,0.01027255],"genre_scores_gemma":[0.95953476,0.00014973653,0.038113747,0.00006973357,0.0000469155,0.00004787524,0.000017467291,0.000013773848,0.002006005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907136,0.00038576353,0.000019004685,0.00014093112,0.0001957609,0.00018700956],"domain_scores_gemma":[0.99846953,0.0009559858,0.00019172595,0.00009782098,0.00018236507,0.000102574486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011339627,0.0011477185,0.000817893,0.00039585432,0.0008480614,0.001256928,0.0009707984,0.0010649404,0.0014792059],"category_scores_gemma":[0.0022104701,0.00029324534,0.00034151686,0.0006341185,0.0011820862,0.001201454,0.0012030991,0.00079105794,0.00031438758],"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":[0.00027701017,0.00008531037,0.00075483735,0.00008394628,0.00004236724,0.00040089627,0.000110882975,0.9255923,0.017106257,0.029532246,0.00086911826,0.02514478],"study_design_scores_gemma":[0.000011887036,0.00010287642,0.00009327871,0.0000032582284,0.000008244997,0.00007386149,0.00002387822,0.9936801,0.0017985892,0.0039204336,0.00027369664,0.000009861609],"about_ca_topic_score_codex":0.0013792128,"about_ca_topic_score_gemma":0.0020520713,"teacher_disagreement_score":0.0014792059,"about_ca_system_score_codex":0.00083655654,"about_ca_system_score_gemma":0.0009146002,"threshold_uncertainty_score":0.00606966},"labels":[],"label_agreement":null},{"id":"W4407948897","doi":"10.1109/tvt.2025.3546040","title":"Schnorr Approval-Based Secure and Privacy-Preserving IoV Data Aggregation","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","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":"University of Victoria","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canada Foundation for Innovation","keywords":"Computer science; Data aggregator; Computer network; Computer security; Cryptography; Information privacy; Wireless sensor network","score_opus":0.023600167687084825,"score_gpt":0.2751505797790718,"score_spread":0.251550412091987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407948897","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":[0.03347817,0.00026256675,0.95837486,0.00032786807,0.00008787565,0.00024675627,0.00018087694,0.0025103742,0.004530741],"genre_scores_gemma":[0.8850275,0.00019603308,0.10976835,0.00020302807,0.00007751827,0.00019234416,0.0004748151,0.00009841344,0.003961964],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99312496,0.001511771,0.0005594983,0.00094174565,0.002806034,0.0010558825],"domain_scores_gemma":[0.9939308,0.0008517068,0.00066946226,0.0026789794,0.0016142743,0.00025484475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026983249,0.00076970767,0.0013741716,0.00111833,0.0016844943,0.0026402774,0.00231864,0.0013510294,0.001855988],"category_scores_gemma":[0.0066047716,0.000451537,0.001069945,0.0014409017,0.0017957072,0.0046467306,0.005397131,0.0018088191,0.0011553052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00239733,0.00037820754,0.0058158617,0.00046375298,0.0003448417,0.0012753779,0.0017765113,0.2400478,0.1159026,0.26857132,0.015052027,0.3479744],"study_design_scores_gemma":[0.00007086796,0.0004659722,0.0009273868,0.000030790346,0.000078580626,0.0006050632,0.00046479315,0.8459014,0.06985366,0.06771741,0.013711568,0.00017254293],"about_ca_topic_score_codex":0.0026904088,"about_ca_topic_score_gemma":0.001898252,"teacher_disagreement_score":0.0026983249,"about_ca_system_score_codex":0.0012989944,"about_ca_system_score_gemma":0.0026431673,"threshold_uncertainty_score":0.014270306},"labels":[],"label_agreement":null},{"id":"W4407948944","doi":"10.1109/tvt.2025.3546254","title":"Flexible Rate-Splitting Multiple Access for Near-Field Integrated Sensing and Communications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Indoor and Outdoor Localization Technologies","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":"University of Alberta","funders":"","keywords":"Field (mathematics); Electronic engineering; Computer science; Engineering; Telecommunications; Electrical engineering; Mathematics","score_opus":0.01617558075976153,"score_gpt":0.27298788710618926,"score_spread":0.2568123063464277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407948944","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":[0.009526705,0.00026336696,0.9883537,0.000052946358,0.000021803622,0.000019822628,0.000012312176,0.00016198235,0.0015873021],"genre_scores_gemma":[0.70524377,0.0003075775,0.2922924,0.00012490893,0.000055955818,0.00008125623,0.00004161997,0.00003337345,0.0018191361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937373,0.00020619492,0.000017547776,0.000106147745,0.0002390683,0.000057277924],"domain_scores_gemma":[0.99950016,0.0002048038,0.000067878056,0.00009689592,0.00010163858,0.000028564145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070552964,0.0005358819,0.00043575827,0.0003109945,0.00036502094,0.00048639328,0.0014893756,0.00047986954,0.0009532083],"category_scores_gemma":[0.0010806071,0.00022914221,0.00035742574,0.00043154965,0.00069076894,0.0007424063,0.0006877715,0.00081055646,0.00027712667],"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":[0.00033530823,0.00017699844,0.0009932453,0.00017755212,0.0001137805,0.000271787,0.00034260444,0.46740833,0.14105941,0.104226395,0.0022341895,0.28266045],"study_design_scores_gemma":[0.00001649951,0.000109990186,0.00011757168,0.0000068413196,0.000010004902,0.0001312156,0.00001768182,0.982786,0.006495093,0.008295432,0.0019952762,0.00001829558],"about_ca_topic_score_codex":0.0010681389,"about_ca_topic_score_gemma":0.001659011,"teacher_disagreement_score":0.0014893756,"about_ca_system_score_codex":0.00045647385,"about_ca_system_score_gemma":0.00048748104,"threshold_uncertainty_score":0.0037311912},"labels":[],"label_agreement":null},{"id":"W4408048039","doi":"10.1109/tvt.2025.3546717","title":"Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Real-time simulation and control systems","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":"University of Alberta","funders":"Bundesministerium für Wirtschaft und Klimaschutz","keywords":"Powertrain; Control engineering; Reinforcement learning; Transfer function; Computer science; Loop (graph theory); Engineering; Hardware-in-the-loop simulation; Artificial intelligence; Electrical engineering; Torque; Physics","score_opus":0.007427316967612867,"score_gpt":0.22255701126087518,"score_spread":0.2151296942932623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408048039","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":[0.18889236,0.000084002204,0.7957116,0.00018644438,0.00006211348,0.00022792438,0.000044624216,0.002206078,0.012584894],"genre_scores_gemma":[0.9701399,0.000031759144,0.028237706,0.00004285708,0.0000055116843,0.00010029495,0.00003497292,0.00004493011,0.0013619589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998578,0.000034287077,0.000007591163,0.000028047329,0.000045392644,0.000026801028],"domain_scores_gemma":[0.99957734,0.00019100374,0.000058532012,0.00007365515,0.00007768932,0.000021751875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004722889,0.0004624409,0.00029986666,0.00015411366,0.00017577925,0.00044086823,0.0007526829,0.00035485966,0.002261722],"category_scores_gemma":[0.0021791977,0.00021678329,0.0002759447,0.00008015646,0.00050491723,0.0004985549,0.0006070672,0.0007559785,0.00036429788],"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":[0.000032423162,0.000066858505,0.0003939018,0.00002347854,0.000010517048,0.000031819945,0.00003936245,0.98126835,0.0022797454,0.0012601421,0.00019319303,0.0144002745],"study_design_scores_gemma":[0.000008106365,0.000043615717,0.00007208765,0.0000025269826,0.0000022615807,0.000004839941,0.0000041463445,0.9972396,0.0018158429,0.00056024786,0.0002446922,0.0000021380692],"about_ca_topic_score_codex":0.003329215,"about_ca_topic_score_gemma":0.0013761452,"teacher_disagreement_score":0.003329215,"about_ca_system_score_codex":0.00042929398,"about_ca_system_score_gemma":0.0006502663,"threshold_uncertainty_score":0.0075662136},"labels":[],"label_agreement":null},{"id":"W4408100601","doi":"10.1109/tvt.2025.3547434","title":"Modulation Classification for Overlapped Signals via Clustering Analysis of Super-Constellations","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Signal Modulation Classification","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Modulation (music); Constellation; Cluster analysis; Pattern recognition (psychology); Computer science; Quadrature amplitude modulation; Frequency modulation; Electronic engineering; Artificial intelligence; Physics; Telecommunications; Engineering; Bandwidth (computing); Acoustics; Channel (broadcasting); Bit error rate","score_opus":0.022436465601290655,"score_gpt":0.27623189073223525,"score_spread":0.2537954251309446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408100601","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":[0.046018433,0.00023138295,0.9514704,0.00013819447,0.000032783923,0.000047059835,0.00003922697,0.00033324515,0.0016893528],"genre_scores_gemma":[0.6499083,0.0003647282,0.34625667,0.0001263121,0.000068660156,0.00007367606,0.0002778589,0.00009887034,0.0028249817],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994837,0.00012587667,0.000028248054,0.00010393777,0.0001757886,0.00008244721],"domain_scores_gemma":[0.99887484,0.00043517476,0.00015724923,0.00015899075,0.00032305197,0.000050673923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007380859,0.0005968866,0.0006292273,0.0014430295,0.00045410224,0.00067385135,0.0009188306,0.00069239485,0.0011938165],"category_scores_gemma":[0.0028992596,0.0001880524,0.00067568605,0.0010468883,0.0005267579,0.0009467441,0.00073507597,0.00085784635,0.0006917057],"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":[0.0004225495,0.00011719405,0.003752929,0.00013624002,0.000091192946,0.00025190564,0.00043969174,0.3527953,0.04466459,0.01440259,0.0028378468,0.580088],"study_design_scores_gemma":[0.0000038712456,0.000033107986,0.0007548801,0.0000070873984,0.000008776032,0.00007085125,0.000039501127,0.99178267,0.0038478768,0.0028259736,0.0006153873,0.000009933628],"about_ca_topic_score_codex":0.0023237441,"about_ca_topic_score_gemma":0.0023521169,"teacher_disagreement_score":0.0023237441,"about_ca_system_score_codex":0.00055311806,"about_ca_system_score_gemma":0.00052340585,"threshold_uncertainty_score":0.004620433},"labels":[],"label_agreement":null},{"id":"W4408565270","doi":"10.1109/tvt.2025.3550456","title":"Sparse Signal Recovery Neural Network With Application to High-Mobility Massive MIMO-OTFS Communication Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"MIMO; Computer science; Artificial neural network; Electronic engineering; SIGNAL (programming language); Signal processing; Computer network; Telecommunications; Artificial intelligence; Engineering; Channel (broadcasting)","score_opus":0.005427647449480896,"score_gpt":0.2085237709989044,"score_spread":0.2030961235494235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408565270","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":[0.09606236,0.0008159602,0.89566714,0.0009359019,0.00011923421,0.000064565895,0.00014202308,0.0009639337,0.0052288654],"genre_scores_gemma":[0.91692966,0.00034937717,0.07815084,0.00015960619,0.000053205033,0.00007130384,0.00019810381,0.000024581483,0.0040632198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985754,0.000035150344,0.0000072267007,0.000029192843,0.00004179696,0.000029043584],"domain_scores_gemma":[0.99967706,0.00015630308,0.000033091397,0.00002159445,0.00009866809,0.000013200511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041102932,0.0005008486,0.00043074202,0.00021566916,0.00022387716,0.00036736694,0.0006482982,0.000783394,0.0011821549],"category_scores_gemma":[0.0012699341,0.00022406914,0.00029812183,0.00042541532,0.00034140845,0.00045753157,0.00048310016,0.00085408223,0.00019120655],"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":[0.00008366616,0.000042117957,0.00058116874,0.000045841378,0.000024900006,0.00008748092,0.00002940568,0.92440504,0.0023388984,0.0026330065,0.0010876934,0.06864072],"study_design_scores_gemma":[0.0000012534663,0.00000764777,0.00004237853,8.5030337e-7,0.0000014379041,0.0000032451849,0.0000014434162,0.99937457,0.0002795311,0.00022266257,0.000063970634,0.000001078766],"about_ca_topic_score_codex":0.010598353,"about_ca_topic_score_gemma":0.008938914,"teacher_disagreement_score":0.010598353,"about_ca_system_score_codex":0.0005350005,"about_ca_system_score_gemma":0.0005675902,"threshold_uncertainty_score":0.021073341},"labels":[],"label_agreement":null},{"id":"W4408565455","doi":"10.1109/tvt.2025.3552541","title":"MD-SLAM: A Multi-Task Deep-Learning-Based Visual SLAM System in Dynamic Environments","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Robotics and Sensor-Based Localization","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":"Carleton University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Simultaneous localization and mapping; Computer science; Artificial intelligence; Task (project management); Deep learning; Visualization; Computer vision; Human–computer interaction; Engineering; Mobile robot; Robot; Systems engineering","score_opus":0.0032628412627933034,"score_gpt":0.2083682387186406,"score_spread":0.2051053974558473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408565455","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":[0.032558978,0.00053614477,0.948033,0.00026572242,0.00021858314,0.00012347332,0.00068366673,0.015367165,0.0022133463],"genre_scores_gemma":[0.63694084,0.00027215507,0.3543036,0.0004932161,0.00006914922,0.00018352194,0.0020815078,0.00042838504,0.005227586],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995888,0.000057538015,0.000021779295,0.00013796901,0.0001153698,0.000078562305],"domain_scores_gemma":[0.99966824,0.000055514713,0.000042443287,0.00007629438,0.000117769574,0.000039836545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060087873,0.0010173963,0.00078089605,0.0006278875,0.000440914,0.00062740716,0.0017228886,0.0008960086,0.002676975],"category_scores_gemma":[0.0014175045,0.0005487713,0.0004916565,0.0006515578,0.00040232428,0.0013374157,0.0018811487,0.0014461178,0.0009216123],"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":[0.00072717667,0.00039998072,0.0021066118,0.00027655804,0.00023344268,0.00022732823,0.00012421588,0.24309838,0.034909558,0.0026872614,0.022192141,0.69301724],"study_design_scores_gemma":[0.00005775754,0.00010383516,0.0007129024,0.000010245513,0.000014104266,0.000047221998,0.00001752942,0.98645484,0.007553182,0.0019839923,0.003023508,0.000020756477],"about_ca_topic_score_codex":0.012077469,"about_ca_topic_score_gemma":0.016521707,"teacher_disagreement_score":0.012077469,"about_ca_system_score_codex":0.0006847166,"about_ca_system_score_gemma":0.0015351322,"threshold_uncertainty_score":0.024014354},"labels":[],"label_agreement":null},{"id":"W4409014815","doi":"10.1109/tvt.2025.3556459","title":"DeCo-MeSC: Deep Compression-Based Memory-Constrained Split Computing Framework for Cooperative Inference of Neural Network","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Neural Networks and Applications","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":"Queen's University","funders":"Ministry of Science and ICT, South Korea","keywords":"Inference; Artificial neural network; Computer science; Data compression; Compression (physics); Deep neural networks; Artificial intelligence","score_opus":0.012004639673184419,"score_gpt":0.2852749304212395,"score_spread":0.2732702907480551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409014815","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":[0.015295081,0.00037890536,0.9814184,0.00013113354,0.000041266772,0.00006137313,0.000083828665,0.0009493051,0.0016407245],"genre_scores_gemma":[0.52867556,0.00037397668,0.46453783,0.00034339615,0.00007807916,0.00026483912,0.0005042812,0.00017342769,0.0050484994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967885,0.000053716627,0.0000166649,0.000071741764,0.00012667879,0.00005230571],"domain_scores_gemma":[0.99963295,0.000099083634,0.000027570635,0.000103419916,0.00009916984,0.000037842983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075561047,0.000795576,0.00073489913,0.00047753943,0.00053842575,0.0006529083,0.002683395,0.00096171803,0.0021263538],"category_scores_gemma":[0.0013542507,0.00027935204,0.00041684383,0.0005429824,0.00080820837,0.00207882,0.0016466375,0.0013488111,0.00039244862],"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":[0.0004399424,0.00023615596,0.001037494,0.00014189581,0.000111039415,0.00022546282,0.00019025969,0.47584167,0.031093065,0.051388897,0.007967433,0.43132663],"study_design_scores_gemma":[0.000010681375,0.00003235357,0.000058516693,0.000003391743,0.000005949641,0.00002221007,0.000009515599,0.99059474,0.0041577355,0.004276115,0.00082232896,0.000006470814],"about_ca_topic_score_codex":0.0072810287,"about_ca_topic_score_gemma":0.016238276,"teacher_disagreement_score":0.0072810287,"about_ca_system_score_codex":0.00095929933,"about_ca_system_score_gemma":0.0017909288,"threshold_uncertainty_score":0.014477313},"labels":[],"label_agreement":null},{"id":"W4409102440","doi":"10.1109/tvt.2025.3552084","title":"Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Computer network; Optimization problem; Distributed computing; Mathematical optimization; Telecommunications; Algorithm; Mathematics","score_opus":0.009605485166038047,"score_gpt":0.24987896853383026,"score_spread":0.24027348336779222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409102440","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":[0.029066695,0.00062984123,0.96714103,0.0003664041,0.00007984473,0.00004617424,0.000048573973,0.00041627223,0.0022052051],"genre_scores_gemma":[0.9347076,0.00034031426,0.061317194,0.0002984772,0.000069707356,0.00010628494,0.00008674318,0.00007521114,0.0029983236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993789,0.00020855415,0.000030708128,0.00011924437,0.000110767876,0.0001517368],"domain_scores_gemma":[0.99713707,0.002166255,0.00017644215,0.00007492693,0.00029832215,0.00014703443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012570017,0.0008802556,0.0016439572,0.0006118235,0.00039053126,0.00084562774,0.0013106912,0.0012641059,0.0022578181],"category_scores_gemma":[0.004555128,0.0005551655,0.00057831104,0.0006047287,0.00086287456,0.0009806541,0.0011181585,0.0016366022,0.0002667351],"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":[0.00009847924,0.0000639298,0.00042500472,0.00005971832,0.000035094574,0.00005650993,0.000044055832,0.9747556,0.0006677845,0.005912563,0.0008070686,0.017074151],"study_design_scores_gemma":[0.00000584291,0.000013163697,0.00002552027,0.0000021740173,0.0000038191956,0.0000041437374,0.0000025259912,0.9985353,0.00006766247,0.0012685145,0.00006955167,0.0000017121437],"about_ca_topic_score_codex":0.010233908,"about_ca_topic_score_gemma":0.006710458,"teacher_disagreement_score":0.010233908,"about_ca_system_score_codex":0.0013217895,"about_ca_system_score_gemma":0.0020986153,"threshold_uncertainty_score":0.020348668},"labels":[],"label_agreement":null},{"id":"W4409310648","doi":"10.1109/tvt.2025.3559102","title":"Design of a Novel Time Index Modulation DCSK Wireless-Powered System","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Wireless; Modulation (music); Electronic engineering; Computer science; Electrical engineering; Engineering; Telecommunications; Physics; Acoustics","score_opus":0.007857746703028906,"score_gpt":0.20185408875652427,"score_spread":0.19399634205349536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409310648","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":[0.06410244,0.0010034144,0.915705,0.00076103397,0.0003546292,0.00026943698,0.00013508495,0.0006868775,0.016982162],"genre_scores_gemma":[0.87123966,0.0006015682,0.117495716,0.0003451094,0.0001182498,0.00024001797,0.00009842148,0.00002644243,0.009834647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997274,0.00003870776,0.000022783064,0.0000880575,0.000095832685,0.000027181819],"domain_scores_gemma":[0.99985194,0.000021190604,0.000030924224,0.000016479948,0.000063475396,0.000015932173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016690945,0.00033145017,0.00044922915,0.00028011855,0.00059531344,0.00066611014,0.00086644985,0.0005791186,0.0021585391],"category_scores_gemma":[0.00023687251,0.00019786265,0.00020700037,0.0002935452,0.0003871309,0.0008801004,0.00055672345,0.0004282901,0.000841614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007107837,0.0002569326,0.002701161,0.00092134747,0.00012882658,0.001102555,0.0005246086,0.076162316,0.57516664,0.07391534,0.0070911273,0.26131833],"study_design_scores_gemma":[0.00014615268,0.0007314648,0.0010037357,0.00006766715,0.000097283395,0.0015924356,0.00012529937,0.8374838,0.112583034,0.0070801037,0.03899378,0.00009516088],"about_ca_topic_score_codex":0.00039040676,"about_ca_topic_score_gemma":0.00055512215,"teacher_disagreement_score":0.0021585391,"about_ca_system_score_codex":0.0005383462,"about_ca_system_score_gemma":0.00041835196,"threshold_uncertainty_score":0.0072211027},"labels":[],"label_agreement":null},{"id":"W4409427651","doi":"10.1109/tvt.2025.3560709","title":"Joint Optimization of Communication Latency and Platoon Control Based on Uplink RSMA for Future V2X Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","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":"Platoon; Telecommunications link; Latency (audio); Joint (building); Computer science; Computer network; Distributed computing; Control (management); Engineering; Telecommunications","score_opus":0.004443005987158377,"score_gpt":0.2012048173251918,"score_spread":0.19676181133803342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409427651","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043758288,0.000919501,0.9488725,0.00031343964,0.00007788413,0.00003258444,0.000038028822,0.00019055673,0.005797208],"genre_scores_gemma":[0.9813022,0.0005086528,0.016042639,0.000052011936,0.000043066684,0.000042527372,0.000032844553,0.000025694817,0.0019504152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943453,0.000121867946,0.000021388276,0.00011007836,0.00018159364,0.00013049957],"domain_scores_gemma":[0.9995253,0.00020155947,0.00011076709,0.0000247139,0.00010074057,0.000036976788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005879091,0.0008747122,0.00060176133,0.00028280145,0.000511645,0.00090041274,0.0007705479,0.0004297792,0.0011853707],"category_scores_gemma":[0.0011616051,0.0002875726,0.00038869775,0.0004707878,0.0006354995,0.0010399766,0.0009491913,0.0008486551,0.00013943994],"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":[0.000061742925,0.00002457932,0.00046277727,0.000051492887,0.000021265565,0.00007882698,0.00006177662,0.9636741,0.0041355006,0.011935951,0.0006538306,0.018838126],"study_design_scores_gemma":[0.0000030708695,0.000024545094,0.00007168113,0.000001889908,0.0000054043517,0.00001005113,0.000016093536,0.9973832,0.00038891024,0.001815861,0.00027544433,0.0000038773696],"about_ca_topic_score_codex":0.007421615,"about_ca_topic_score_gemma":0.005572239,"teacher_disagreement_score":0.007421615,"about_ca_system_score_codex":0.0008348552,"about_ca_system_score_gemma":0.0015162533,"threshold_uncertainty_score":0.014756799},"labels":[],"label_agreement":null},{"id":"W4409494698","doi":"10.1109/tvt.2025.3561360","title":"An Efficient and Scalable Byzantine Fault Tolerant Consensus for Vehicular Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed systems and fault tolerance","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":"Scalability; Byzantine fault tolerance; Fault tolerance; Computer science; Distributed computing; Computer network","score_opus":0.006422442748762867,"score_gpt":0.24161047383190898,"score_spread":0.23518803108314612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409494698","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":[0.016691528,0.00026322267,0.98000723,0.0002353068,0.00012659708,0.000101168676,0.00007078761,0.00068173197,0.0018223488],"genre_scores_gemma":[0.6788457,0.00061917055,0.31226295,0.00016582343,0.00012758457,0.00032198883,0.0005018913,0.00014382512,0.0070110816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914336,0.00016559023,0.00005403179,0.0001953494,0.0003115474,0.00013003251],"domain_scores_gemma":[0.99943346,0.00013437831,0.000058513207,0.00010998758,0.00021225707,0.000051336043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007159198,0.0007916534,0.0010403359,0.0006541063,0.0008811531,0.0009881161,0.0015471927,0.0008650372,0.0015694198],"category_scores_gemma":[0.0023407524,0.00030162287,0.00054525404,0.0008008723,0.00053386966,0.0017012731,0.0020656814,0.0009882504,0.0005614279],"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":[0.00020816742,0.000066686705,0.00045308092,0.00023723324,0.00004723265,0.00032640377,0.00029295345,0.77491075,0.031246116,0.03541632,0.0085692415,0.14822583],"study_design_scores_gemma":[0.00002014336,0.00005810565,0.000057953905,0.0000074530935,0.000007630464,0.000050774066,0.000034678902,0.98698354,0.003593217,0.006267988,0.002907909,0.000010526857],"about_ca_topic_score_codex":0.004042151,"about_ca_topic_score_gemma":0.004196804,"teacher_disagreement_score":0.004042151,"about_ca_system_score_codex":0.00088780833,"about_ca_system_score_gemma":0.0016602862,"threshold_uncertainty_score":0.008037269},"labels":[],"label_agreement":null},{"id":"W4409494712","doi":"10.1109/tvt.2025.3561346","title":"Double-Edge-Assisted Computation Offloading and Resource Allocation for Space-Air-Marine Integrated Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","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 Calgary","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computation; Computation offloading; Resource allocation; Space (punctuation); Enhanced Data Rates for GSM Evolution; Distributed computing; Edge computing; Computer network; Telecommunications; Algorithm","score_opus":0.014277405138931182,"score_gpt":0.2454774707661989,"score_spread":0.23120006562726772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409494712","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":[0.06259415,0.0004193677,0.93184835,0.000114479335,0.000087082735,0.000057876543,0.00005140778,0.0004553867,0.0043718643],"genre_scores_gemma":[0.8495721,0.00019384015,0.14718753,0.00008836678,0.000047555608,0.00007434803,0.000108366556,0.000056720775,0.002671058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965394,0.00007286027,0.00001435792,0.00006417173,0.00008418008,0.00011065411],"domain_scores_gemma":[0.9997278,0.000094449235,0.000031430358,0.000059583213,0.000050412335,0.000036352427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030190567,0.00079810224,0.00057881564,0.00033035802,0.00054210715,0.000588597,0.0010074957,0.00042514372,0.0014706055],"category_scores_gemma":[0.0006577496,0.00019779759,0.00031545464,0.00051101675,0.00034063924,0.00093186816,0.001142216,0.00055651943,0.00023274563],"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":[0.00035463768,0.00022428569,0.0012503222,0.00014643748,0.000053685166,0.00022045897,0.00012355711,0.72573864,0.03191208,0.013126591,0.0037852617,0.22306411],"study_design_scores_gemma":[0.0000058192973,0.000045617442,0.00017343358,0.0000039258052,0.000005881305,0.000037119557,0.00002164254,0.9947589,0.0022796926,0.0017277984,0.0009346983,0.000005427825],"about_ca_topic_score_codex":0.0020471944,"about_ca_topic_score_gemma":0.004990574,"teacher_disagreement_score":0.0020471944,"about_ca_system_score_codex":0.00040445605,"about_ca_system_score_gemma":0.00058577576,"threshold_uncertainty_score":0.004919648},"labels":[],"label_agreement":null},{"id":"W4409561167","doi":"10.1109/tvt.2025.3562035","title":"Beamformed Fingerprint-Based Transformer Network for Trajectory Estimation and Path Determination in Outdoor mmWave MIMO Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Huawei Technologies (Canada)","funders":"","keywords":"MIMO; Trajectory; Computer science; Electronic engineering; Transformer; Fingerprint (computing); Real-time computing; Engineering; Electrical engineering; Voltage; Artificial intelligence; Physics","score_opus":0.00910763413172493,"score_gpt":0.22644866284623733,"score_spread":0.21734102871451239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409561167","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":[0.048039548,0.00026022524,0.9502351,0.000070430644,0.000022460936,0.000017564542,0.00007473125,0.00034387,0.0009360406],"genre_scores_gemma":[0.8981329,0.00029270755,0.099685,0.00006029191,0.000022905147,0.000048172435,0.00024176338,0.000030626397,0.0014856774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982846,0.000040657134,0.000009097521,0.000050718772,0.000040662715,0.000030488269],"domain_scores_gemma":[0.9995969,0.0001880234,0.00006297839,0.000041680836,0.00009165277,0.000018797455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039084986,0.00052204914,0.00036298987,0.00040130405,0.0002189864,0.00034181718,0.0007589039,0.00043229037,0.0006002806],"category_scores_gemma":[0.0017841969,0.00022422645,0.00029270147,0.00053436396,0.00024471903,0.00084766385,0.0005111025,0.00054196845,0.00019982895],"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":[0.00012376418,0.00003498121,0.0025218283,0.000046257577,0.000029831579,0.00007260354,0.000060425515,0.8431901,0.005485002,0.0033541203,0.00062358734,0.14445761],"study_design_scores_gemma":[0.0000016087582,0.000015402638,0.00023732934,0.000002153122,0.0000037991617,0.000016569435,0.0000050780927,0.99793077,0.0009572065,0.000694112,0.00013350794,0.0000025316226],"about_ca_topic_score_codex":0.005555441,"about_ca_topic_score_gemma":0.0061746426,"teacher_disagreement_score":0.005555441,"about_ca_system_score_codex":0.00046704392,"about_ca_system_score_gemma":0.0004404532,"threshold_uncertainty_score":0.011046231},"labels":[],"label_agreement":null},{"id":"W4409641867","doi":"10.1109/tvt.2025.3562799","title":"A New SS-VDS-SLM Technique for PAPR Reduction in High-Mobility Real-Time OTSM","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Fiber Optic Sensors","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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Reduction (mathematics); Electronic engineering; Computer science; Materials science; Electrical engineering; Engineering; Mathematics","score_opus":0.005266251380303259,"score_gpt":0.23101320448307253,"score_spread":0.22574695310276927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409641867","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":[0.029948425,0.00030471614,0.9668123,0.00007890913,0.000059572594,0.000025722677,0.00004027771,0.00053334853,0.0021967995],"genre_scores_gemma":[0.47772375,0.00028115648,0.51675457,0.00010817892,0.00005790975,0.00006867306,0.00018421399,0.00008842959,0.0047332183],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997038,0.000060392995,0.000015422072,0.00005956912,0.00013976249,0.000021031325],"domain_scores_gemma":[0.9996623,0.0000695512,0.00006418561,0.00006406849,0.00012452056,0.000015324233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002490413,0.00051916204,0.00023278224,0.000565976,0.0003361837,0.00031674295,0.00072380557,0.0003321451,0.0013217863],"category_scores_gemma":[0.00088881684,0.0001602216,0.00035189406,0.0005014801,0.0003535768,0.00057529705,0.00045933216,0.0003865744,0.0006992516],"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":[0.00024157306,0.00007305599,0.0013483561,0.00016488406,0.000037537742,0.00016023246,0.00028273137,0.04494091,0.20581424,0.008163193,0.002183351,0.73658985],"study_design_scores_gemma":[0.00004377421,0.00055431045,0.0024634667,0.000039029204,0.000046438272,0.0011298156,0.0001945976,0.78617805,0.18013693,0.006034784,0.023119254,0.000059511007],"about_ca_topic_score_codex":0.0007741713,"about_ca_topic_score_gemma":0.0018052703,"teacher_disagreement_score":0.0013217863,"about_ca_system_score_codex":0.00025847644,"about_ca_system_score_gemma":0.00045284646,"threshold_uncertainty_score":0.00442183},"labels":[],"label_agreement":null},{"id":"W4409659724","doi":"10.1109/tvt.2025.3563443","title":"Multi-Target DoA Estimation With mmWave MIMO Radar Using Limited Number of Sensors","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Radar; Computer science; Electronic engineering; Radar tracker; Remote sensing; Real-time computing; Engineering; Beamforming; Telecommunications","score_opus":0.011300359559491055,"score_gpt":0.2525682657948569,"score_spread":0.24126790623536587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409659724","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":[0.010247766,0.00027245536,0.9883201,0.00005310922,0.00003774169,0.000015236303,0.000038001443,0.00028139958,0.0007341849],"genre_scores_gemma":[0.3351358,0.00077971356,0.66144574,0.00021760666,0.00013470706,0.000114640796,0.00026425673,0.000046246638,0.0018612485],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992137,0.00019803664,0.000047769267,0.0002095637,0.00027362877,0.000057285088],"domain_scores_gemma":[0.9991154,0.00038984377,0.00014068233,0.00016543911,0.00015516272,0.000033425466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064663024,0.0010373277,0.00094542303,0.0006939648,0.0003457674,0.00063380256,0.00071332307,0.00084189314,0.0007795893],"category_scores_gemma":[0.0024903375,0.00054166274,0.0007082168,0.0008083709,0.00028399192,0.0017300673,0.0011055624,0.00069758686,0.0007397721],"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":[0.0005617872,0.00013356202,0.0036203768,0.00035793585,0.00020391194,0.00025739646,0.00021920333,0.29221445,0.10890331,0.0077002263,0.0015410302,0.58428675],"study_design_scores_gemma":[0.000022455119,0.00017717062,0.0013089133,0.000023986311,0.000040406267,0.00028060697,0.000038099686,0.97311395,0.02010201,0.002668933,0.0021929592,0.000030478323],"about_ca_topic_score_codex":0.0007662285,"about_ca_topic_score_gemma":0.0011850608,"teacher_disagreement_score":0.0010373277,"about_ca_system_score_codex":0.00023516185,"about_ca_system_score_gemma":0.00041809306,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4410087103","doi":"10.1109/tvt.2025.3566696","title":"MUFFIN-HGCN: Multi-Feature Fusion Hierarchical-GCN for 3D Object Detection","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Neural Network Applications","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":"University of Windsor","funders":"","keywords":"Fusion; Object detection; Feature (linguistics); Artificial intelligence; Pattern recognition (psychology); Sensor fusion; Object (grammar); Computer science; Computer vision; Materials science","score_opus":0.01022992370560921,"score_gpt":0.2646882118269225,"score_spread":0.25445828812131327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410087103","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":[0.034830842,0.001670912,0.9494621,0.0003382821,0.00020919112,0.0001549538,0.000738209,0.0094027985,0.00319278],"genre_scores_gemma":[0.5403047,0.00075301534,0.44434342,0.0008783498,0.00011317135,0.00023216094,0.0039493074,0.00046500054,0.008960821],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946517,0.00005460824,0.000019862286,0.00020163655,0.00015665372,0.00010201666],"domain_scores_gemma":[0.99963284,0.00007199329,0.00003110979,0.00008552594,0.00014382004,0.000034753903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082121487,0.0016337896,0.001291356,0.0012561291,0.0006100604,0.0007453677,0.0030149966,0.0017416336,0.0026122837],"category_scores_gemma":[0.0014880174,0.00053698383,0.0010754295,0.0013221778,0.00069040264,0.0015166245,0.0017678139,0.001807381,0.0012621062],"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":[0.00027420704,0.00023797178,0.0022462609,0.00014977093,0.00019964724,0.00021426195,0.00008449824,0.25912315,0.018138219,0.004847759,0.014982497,0.6995018],"study_design_scores_gemma":[0.000010937496,0.000042984255,0.00048487197,0.000012939218,0.000024491294,0.00004412185,0.000012584,0.99066496,0.004005183,0.0030028364,0.0016798199,0.000014271334],"about_ca_topic_score_codex":0.043411706,"about_ca_topic_score_gemma":0.052203774,"teacher_disagreement_score":0.043411706,"about_ca_system_score_codex":0.0016318548,"about_ca_system_score_gemma":0.0018850375,"threshold_uncertainty_score":0.086318016},"labels":[],"label_agreement":null},{"id":"W4410226777","doi":"10.1109/tvt.2025.3568013","title":"Joint Optimization of Power Control and Receive Beamforming for Security Enhancement in SGF–NOMA Systems: A Distributed MADRL Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Key Research and Development Projects of Shaanxi Province; National Natural Science Foundation of China","keywords":"Joint (building); Noma; Beamforming; Computer science; Power (physics); Power control; Engineering; Electronic engineering; Computer network; Physics; Telecommunications link; Structural engineering","score_opus":0.006700313708863235,"score_gpt":0.21720266513053038,"score_spread":0.21050235142166715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410226777","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":[0.018050559,0.00020700287,0.97945327,0.00018404826,0.000028075452,0.000020547688,0.000013354401,0.00011427968,0.001928881],"genre_scores_gemma":[0.9565799,0.00011295777,0.04114791,0.00007949254,0.000032843316,0.00004572262,0.000015899448,0.000017049517,0.0019682392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996234,0.00013227243,0.000012643201,0.000076440396,0.00008625924,0.000068982845],"domain_scores_gemma":[0.99946684,0.0002765744,0.00008582326,0.000048719732,0.00008717569,0.00003491282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007723773,0.0007108763,0.0006821111,0.0001876961,0.00022674073,0.0005843872,0.00078288576,0.00055567187,0.0013214615],"category_scores_gemma":[0.0014145424,0.00024040736,0.00031738653,0.00023159829,0.0008358641,0.0007091789,0.0007988494,0.00078388007,0.00022628286],"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":[0.000065758395,0.000047612084,0.0004023617,0.000048238464,0.00003340632,0.00006184356,0.0000450027,0.94968665,0.0046538613,0.011739607,0.0006360786,0.03257957],"study_design_scores_gemma":[0.0000069559214,0.000024479894,0.000036565038,0.0000015390065,0.0000030684835,0.0000072927264,0.0000034313443,0.99801576,0.0002633712,0.0015137305,0.00012183964,0.0000020842344],"about_ca_topic_score_codex":0.0016223352,"about_ca_topic_score_gemma":0.00209663,"teacher_disagreement_score":0.0016223352,"about_ca_system_score_codex":0.0004387023,"about_ca_system_score_gemma":0.00074131513,"threshold_uncertainty_score":0.0044207573},"labels":[],"label_agreement":null},{"id":"W4410394621","doi":"10.1109/tvt.2025.3570505","title":"Age of Information in Digital Twin Migration","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","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":"McMaster University","funders":"","keywords":"Computer science","score_opus":0.004111551057400613,"score_gpt":0.20644908349854643,"score_spread":0.20233753244114583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410394621","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":[0.18919747,0.0032417437,0.7828933,0.001687464,0.00048840727,0.00015010367,0.00014772976,0.0003764121,0.021817386],"genre_scores_gemma":[0.8933769,0.0011569752,0.09742095,0.00014111144,0.000082361075,0.000059630118,0.00009544845,0.00008731079,0.007579423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990126,0.00032242978,0.000055934328,0.00022362746,0.00018511135,0.00020024818],"domain_scores_gemma":[0.9972199,0.0015038626,0.0003173809,0.00032860818,0.0003610659,0.0002691374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014352738,0.0006478686,0.00072906964,0.0007568006,0.0013667172,0.0027167897,0.0011396778,0.0012396082,0.0022237413],"category_scores_gemma":[0.008284814,0.00042625054,0.00032381443,0.0016325037,0.0017288348,0.0054568546,0.0029380512,0.0014036414,0.0003760477],"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":[0.0005879572,0.0001320973,0.0039267885,0.00020775007,0.000039415703,0.000394663,0.0008350454,0.55916834,0.003552751,0.23026554,0.005285835,0.19560376],"study_design_scores_gemma":[0.000024483263,0.00016353799,0.00087458553,0.00004255083,0.000032153315,0.00034322753,0.00068469654,0.8710489,0.004186841,0.11042376,0.012127865,0.000047411693],"about_ca_topic_score_codex":0.005320307,"about_ca_topic_score_gemma":0.004075555,"teacher_disagreement_score":0.005320307,"about_ca_system_score_codex":0.0016409681,"about_ca_system_score_gemma":0.0015091879,"threshold_uncertainty_score":0.011906147},"labels":[],"label_agreement":null},{"id":"W4410492097","doi":"10.1109/tvt.2025.3571784","title":"Centralized Multi-Agent SOC Control for Battery Health Using Proximal Policy Optimization in EVs","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","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":"Université du Québec à Trois-Rivières; Carleton University","funders":"","keywords":"Battery (electricity); Control (management); Computer science; System on a chip; Embedded system; Engineering; Power (physics)","score_opus":0.02144847981661386,"score_gpt":0.3176745835375705,"score_spread":0.29622610372095665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410492097","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":[0.045916494,0.00043195742,0.94735396,0.00026426517,0.00007192236,0.000057461442,0.000021884953,0.0003644613,0.0055176113],"genre_scores_gemma":[0.98409027,0.00010784968,0.013939454,0.000057704656,0.000020859678,0.00006847091,0.00001559333,0.00001376482,0.0016860492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996655,0.00009756889,0.0000137077295,0.000083046376,0.000068264475,0.0000718834],"domain_scores_gemma":[0.9995939,0.00017675683,0.00007879224,0.000020625128,0.000088846034,0.00004100924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007631574,0.00078637595,0.0010138327,0.00030105232,0.00046148774,0.00084830995,0.0010510985,0.000821265,0.001060989],"category_scores_gemma":[0.0011264859,0.00039770565,0.00047551288,0.00024843158,0.0008991191,0.0005001201,0.0010559814,0.0007437674,0.00017248404],"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":[0.000045465018,0.000021554451,0.00021062345,0.000030626492,0.000017195052,0.00005397683,0.000035814744,0.9889675,0.0009530313,0.002687591,0.00022765638,0.006748939],"study_design_scores_gemma":[0.000007066563,0.000018737683,0.00003429257,0.0000016715453,0.0000032190762,0.0000043777977,0.0000047161307,0.99906176,0.00012552354,0.00061843946,0.00011807531,0.0000020924847],"about_ca_topic_score_codex":0.0068545854,"about_ca_topic_score_gemma":0.0036323746,"teacher_disagreement_score":0.0068545854,"about_ca_system_score_codex":0.00062418403,"about_ca_system_score_gemma":0.0010440721,"threshold_uncertainty_score":0.013629377},"labels":[],"label_agreement":null},{"id":"W4410640055","doi":"10.1109/tvt.2025.3571741","title":"Real-Time Multi-Ensemble Learning-Based Power Prediction for Energy Management of Dual-Source Electric Vehicles","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","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":"Université de Sherbrooke","funders":"Trường Đại học Bách Khoa Hà Nội","keywords":"Dual (grammatical number); Ensemble learning; Computer science; Energy management; Power (physics); Energy (signal processing); Artificial intelligence; Engineering; Physics","score_opus":0.0031735557863612415,"score_gpt":0.19482502049778433,"score_spread":0.19165146471142308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410640055","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":[0.12665911,0.00054662046,0.86880195,0.00021112256,0.000084503685,0.00002924293,0.00011070152,0.0009120273,0.0026446292],"genre_scores_gemma":[0.97290534,0.0001190154,0.026017876,0.000037617985,0.000020358844,0.000028990386,0.00014823096,0.000024141658,0.0006982607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998677,0.000025421605,0.0000075548664,0.000040111718,0.000038378817,0.000020900796],"domain_scores_gemma":[0.999747,0.00010347433,0.000031603304,0.00002147272,0.00008123621,0.000015178985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004032485,0.0007230352,0.0005561774,0.00030386727,0.00021131763,0.00043042106,0.0005603731,0.00036954207,0.00055170094],"category_scores_gemma":[0.0009825939,0.00022628673,0.00034999003,0.00030334914,0.00015631707,0.00060212164,0.00042199405,0.0007257364,0.00014456625],"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":[0.00006309554,0.00006129542,0.0019456715,0.000020559277,0.00003217311,0.000028609733,0.000017644681,0.9382902,0.0019214749,0.0003976152,0.00062283454,0.05659877],"study_design_scores_gemma":[6.9516165e-7,0.000005155832,0.00013302633,6.907043e-7,0.0000016287912,0.0000017494522,0.0000017739712,0.9994629,0.00021627216,0.00012848379,0.000046752382,0.0000010191975],"about_ca_topic_score_codex":0.0047814217,"about_ca_topic_score_gemma":0.00543961,"teacher_disagreement_score":0.0047814217,"about_ca_system_score_codex":0.0003540515,"about_ca_system_score_gemma":0.00033448517,"threshold_uncertainty_score":0.009507179},"labels":[],"label_agreement":null},{"id":"W4410887286","doi":"10.1109/tvt.2025.3575478","title":"Vehicular Multimodal Motion Forecasting With Scenario-Guided Diffusion Probabilistic Models","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Queen's University","funders":"National Natural Science Foundation of China","keywords":"Probabilistic logic; Computer science; Motion (physics); Probabilistic forecasting; Artificial intelligence; Machine learning","score_opus":0.012664110556536731,"score_gpt":0.21049679406725563,"score_spread":0.1978326835107189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410887286","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":[0.070100516,0.0002243573,0.92775494,0.000277912,0.0000358054,0.000025019976,0.00016579477,0.00035718622,0.0010585279],"genre_scores_gemma":[0.9634642,0.000179552,0.034620825,0.000058335314,0.000027683744,0.00004190043,0.00029768536,0.000037457175,0.0012723051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998254,0.00004267137,0.000008787951,0.00005776928,0.00003981599,0.00002553999],"domain_scores_gemma":[0.9995185,0.0002346033,0.000082388215,0.000036262278,0.000093656905,0.00003462937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054583274,0.00059479364,0.00052026456,0.0005637202,0.00021262547,0.0005073294,0.0011553151,0.000774957,0.0006887124],"category_scores_gemma":[0.0021987872,0.00047839116,0.0006027285,0.0004803279,0.0003982691,0.0010658203,0.00074189174,0.0010584802,0.00018145444],"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":[0.000018533961,0.000007731485,0.00060339505,0.000007422077,0.000008143694,0.000014237856,0.00001389348,0.9895614,0.0004877482,0.0018699797,0.00016032779,0.007247162],"study_design_scores_gemma":[6.2227207e-7,0.0000020219131,0.000041093917,5.448106e-7,6.7582175e-7,0.0000018585871,0.0000010357605,0.9994023,0.000052378433,0.0004622795,0.000034057368,0.0000010901944],"about_ca_topic_score_codex":0.012333213,"about_ca_topic_score_gemma":0.009727933,"teacher_disagreement_score":0.012333213,"about_ca_system_score_codex":0.00079756585,"about_ca_system_score_gemma":0.0005603008,"threshold_uncertainty_score":0.024522841},"labels":[],"label_agreement":null},{"id":"W4411019733","doi":"10.1109/tvt.2025.3576601","title":"Optimal Task Offloading With Firm Deadlines for Mobile Edge Computing Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"National Research Foundation of Korea","keywords":"Mobile edge computing; Computer science; Task (project management); Mobile computing; Edge computing; Distributed computing; Mobile telephony; Enhanced Data Rates for GSM Evolution; Computer network; Server; Mobile radio; Engineering; Telecommunications; Systems engineering","score_opus":0.008497787834289497,"score_gpt":0.24286185578154418,"score_spread":0.23436406794725467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411019733","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":[0.14708358,0.001327216,0.8410209,0.0012202465,0.00017844544,0.00021109109,0.00032706806,0.00039377966,0.0082377335],"genre_scores_gemma":[0.9512381,0.00041970663,0.044593982,0.00012688997,0.00005637145,0.00013568447,0.00016103161,0.00010228639,0.0031659103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880016,0.0002924247,0.000065136985,0.00025397772,0.00018563199,0.00040266343],"domain_scores_gemma":[0.99725324,0.0019252313,0.0003115009,0.00011277662,0.0001926278,0.00020471515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015848888,0.0013788824,0.0019959374,0.0007157261,0.00077860366,0.0017358391,0.0012594627,0.0010398661,0.0029744569],"category_scores_gemma":[0.0065512145,0.00091365166,0.0006538657,0.0007172819,0.0010460215,0.001773367,0.0014306859,0.0016461868,0.00026776682],"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":[0.00011596826,0.0000472247,0.00025649354,0.00006894601,0.000013973395,0.000061394814,0.000041552154,0.9807788,0.00078449043,0.01004176,0.00055548834,0.007234036],"study_design_scores_gemma":[0.000011063631,0.00001628075,0.00006036682,0.0000041059066,0.0000026652594,0.000004064814,0.000012483716,0.9942022,0.00016021333,0.005398474,0.0001243975,0.0000037372583],"about_ca_topic_score_codex":0.011091913,"about_ca_topic_score_gemma":0.00748566,"teacher_disagreement_score":0.011091913,"about_ca_system_score_codex":0.0020974283,"about_ca_system_score_gemma":0.0027024571,"threshold_uncertainty_score":0.022054732},"labels":[],"label_agreement":null},{"id":"W4411203577","doi":"10.1109/tvt.2025.3578644","title":"Intelligent Localization-Based DDPG for UAV-Borne RIS in Vehicular Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and 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":"York University","funders":"Grantová Agentura České Republiky","keywords":"Computer science; Systems engineering; Physics; Engineering","score_opus":0.00670652822658128,"score_gpt":0.231676592635888,"score_spread":0.22497006440930672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411203577","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":[0.015235626,0.00016457842,0.98240453,0.00014634978,0.00002963591,0.000012938997,0.000022297303,0.00019031315,0.0017937355],"genre_scores_gemma":[0.95094025,0.00014511544,0.046311997,0.00008749908,0.000022286606,0.000045264023,0.000054837357,0.000035560475,0.002357161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999782,0.000054383483,0.0000075543494,0.000052422874,0.000055364628,0.000048194655],"domain_scores_gemma":[0.99966,0.00015448344,0.00006542326,0.000025780213,0.00006686177,0.000027497097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043789236,0.00068243814,0.00054452894,0.00021780802,0.0002723002,0.00047460245,0.00081628293,0.00057984015,0.00083074375],"category_scores_gemma":[0.0011879859,0.00034514442,0.00031371543,0.0002329803,0.00081788487,0.00060078455,0.0009411344,0.0008838725,0.00020634732],"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":[0.00001351951,0.0000059690624,0.00021902651,0.000011003586,0.000005782898,0.000021626214,0.000013739695,0.98947525,0.0006930421,0.0025542965,0.00018898812,0.0067976383],"study_design_scores_gemma":[0.0000016364562,0.000007546236,0.000022593445,0.0000011831991,0.0000013350776,0.0000038035216,0.000002040528,0.9989807,0.00018397137,0.0006984022,0.00009552842,0.0000012361634],"about_ca_topic_score_codex":0.00858299,"about_ca_topic_score_gemma":0.0072489595,"teacher_disagreement_score":0.00858299,"about_ca_system_score_codex":0.0008532932,"about_ca_system_score_gemma":0.0012887543,"threshold_uncertainty_score":0.017066061},"labels":[],"label_agreement":null},{"id":"W4411232300","doi":"10.1109/tvt.2025.3574513","title":"Staggered Dynamic Spectrum Sharing for Integrated Satellite–Terrestrial Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Satellite; Communications satellite; Computer science; Remote sensing; Telecommunications; Electronic engineering; Engineering; Aerospace engineering; Geology","score_opus":0.011682200200645067,"score_gpt":0.24884893354399715,"score_spread":0.2371667333433521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411232300","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":[0.06143768,0.0005062032,0.93421,0.00011398183,0.000023869821,0.00002750291,0.000024754685,0.00013216451,0.003523799],"genre_scores_gemma":[0.94327176,0.00017554431,0.055235524,0.00004960217,0.000018953668,0.00002564688,0.00002952332,0.00001118322,0.0011822163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997125,0.00008346109,0.00000898323,0.00005153902,0.00008249173,0.00006107343],"domain_scores_gemma":[0.99979585,0.00007765363,0.00003367179,0.000031483076,0.000037186594,0.000024139694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039428964,0.0003900561,0.0003834343,0.00023547212,0.00037312682,0.00046697157,0.000746546,0.0003396228,0.0010194188],"category_scores_gemma":[0.00047519617,0.00017043231,0.00029078368,0.0004712465,0.00044943948,0.00074785616,0.00066607265,0.00042837602,0.00016593766],"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":[0.00020982571,0.00011556003,0.00059639633,0.0000770778,0.00005201194,0.00019385507,0.00010211625,0.7964391,0.034357786,0.02785301,0.0014307309,0.13857244],"study_design_scores_gemma":[0.000008330522,0.00006457893,0.00009864341,0.0000032706184,0.000007534308,0.00005260756,0.000018047307,0.9914479,0.0020643119,0.005472653,0.00075575674,0.000006392382],"about_ca_topic_score_codex":0.0018523699,"about_ca_topic_score_gemma":0.0044452045,"teacher_disagreement_score":0.0018523699,"about_ca_system_score_codex":0.0004945054,"about_ca_system_score_gemma":0.0006878109,"threshold_uncertainty_score":0.0036832094},"labels":[],"label_agreement":null},{"id":"W4411337166","doi":"10.1109/tvt.2025.3579331","title":"Socially Game-Theoretic Lane-Change for Autonomous Heavy Vehicle Based on Asymmetric Driving Aggressiveness","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":21,"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 Waterloo","funders":"National Natural Science Foundation of China","keywords":"Game theory; Vehicle dynamics; Automotive engineering; Computer science; Simulation; Engineering; Transport engineering; Economics; Microeconomics","score_opus":0.010434970954730142,"score_gpt":0.24431482512205616,"score_spread":0.233879854167326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411337166","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":[0.082120724,0.00010605149,0.9135719,0.0002243278,0.00003230208,0.00009566838,0.00007884295,0.00009662832,0.0036736517],"genre_scores_gemma":[0.96731555,0.0000611321,0.031067297,0.0000487462,0.000013843492,0.00009206723,0.00007680813,0.000016320333,0.0013082254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898785,0.00037408576,0.000041895357,0.00024220215,0.00020530979,0.00014866458],"domain_scores_gemma":[0.99818474,0.001028432,0.000249023,0.000088434914,0.00029796365,0.00015138676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012925664,0.00086500164,0.0007923537,0.0007363026,0.00060253957,0.0013263039,0.0013543352,0.00079017907,0.001813741],"category_scores_gemma":[0.0031602385,0.00044084634,0.0008884273,0.0004261081,0.0011723662,0.0014870018,0.0011601284,0.0011354408,0.00017020201],"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":[0.00006420518,0.000048066187,0.0018370139,0.000050382976,0.00004288055,0.00012107947,0.00014714384,0.9636871,0.0013671834,0.021362826,0.0003261535,0.010945976],"study_design_scores_gemma":[0.0000037788895,0.000019851905,0.00014158018,0.0000023470775,0.0000068165473,0.000010289932,0.000017705092,0.9943568,0.00018009938,0.0051547154,0.00009872519,0.0000072361304],"about_ca_topic_score_codex":0.010407931,"about_ca_topic_score_gemma":0.0077888304,"teacher_disagreement_score":0.010407931,"about_ca_system_score_codex":0.0018847263,"about_ca_system_score_gemma":0.0018001572,"threshold_uncertainty_score":0.020694673},"labels":[],"label_agreement":null},{"id":"W4411359114","doi":"10.1109/tvt.2025.3580502","title":"Generalized Multi-Objective Reinforcement Learning With Envelope Updates in URLLC-Enabled Vehicular Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Envelope (radar); Computer network; Artificial intelligence; Telecommunications","score_opus":0.005194834513949686,"score_gpt":0.20655113184773935,"score_spread":0.20135629733378965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411359114","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":[0.039798055,0.00031021627,0.95659083,0.00038114522,0.000034338944,0.000050390183,0.000029765186,0.00023456251,0.0025706175],"genre_scores_gemma":[0.94505066,0.00012797193,0.0525572,0.00015188611,0.00002548058,0.00011054039,0.000038366947,0.00003099805,0.0019070046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993148,0.00030050354,0.000024224131,0.00010529299,0.0001236083,0.00013159616],"domain_scores_gemma":[0.9985367,0.00090057467,0.00019864937,0.000062494684,0.00020365832,0.00009789429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018982757,0.0007641442,0.0011060259,0.0003155479,0.00028845266,0.00075539877,0.0012240077,0.0011310811,0.0012635202],"category_scores_gemma":[0.0035824806,0.0004274358,0.0004161314,0.00031002116,0.00093005947,0.0007899156,0.0011579826,0.0011868248,0.0001782453],"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":[0.000015619788,0.000014444937,0.00017274375,0.000012835652,0.000009915275,0.000022856442,0.0000171897,0.992338,0.00018964212,0.002741689,0.000121576915,0.0043435027],"study_design_scores_gemma":[0.000004350803,0.000010398476,0.000016584514,0.0000014250537,0.0000014117946,0.0000019297718,0.0000017898486,0.9989543,0.000048199316,0.00089809636,0.000060190112,0.0000012711382],"about_ca_topic_score_codex":0.006095482,"about_ca_topic_score_gemma":0.003984491,"teacher_disagreement_score":0.006095482,"about_ca_system_score_codex":0.0011396724,"about_ca_system_score_gemma":0.0012693584,"threshold_uncertainty_score":0.0121200085},"labels":[],"label_agreement":null},{"id":"W4411446825","doi":"10.1109/tvt.2025.3581456","title":"Enhancing Machine Learning-Based IDS for Vehicular Networks by Addressing Adversarial Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Network Security and Intrusion Detection","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":"Telus (Canada); University of Windsor","funders":"","keywords":"Adversarial system; Computer science; Adversarial machine learning; Artificial intelligence; Computer network; Computer security; Machine learning","score_opus":0.00893781411813085,"score_gpt":0.24558463933598906,"score_spread":0.2366468252178582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411446825","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":[0.025260886,0.00008923985,0.97268414,0.0002080788,0.000026215512,0.00004598197,0.000019764362,0.0004781549,0.001187581],"genre_scores_gemma":[0.83667326,0.00015059972,0.16168346,0.000115694886,0.000024959667,0.0000664736,0.00007197346,0.000052823092,0.0011607164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831736,0.000604121,0.000098318844,0.00027110172,0.00056372205,0.00014543628],"domain_scores_gemma":[0.99490756,0.0028829824,0.0004781042,0.0009089122,0.0007170954,0.00010537218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026602142,0.0007886153,0.0007102502,0.00057056063,0.00036326717,0.0010014924,0.0014872426,0.000979494,0.00074460596],"category_scores_gemma":[0.011656026,0.00045583793,0.0006177771,0.0002604895,0.0012775547,0.0018534493,0.0019720362,0.0016491502,0.00030689224],"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":[0.000040630017,0.000027076889,0.00071096316,0.00002551425,0.000012931472,0.000041981606,0.000050019305,0.96909237,0.002631668,0.008303937,0.00016779419,0.018895125],"study_design_scores_gemma":[0.0000013868954,0.000018886212,0.00004136032,0.0000031557875,0.0000025769561,0.000013095353,0.0000039461306,0.9956044,0.0015818557,0.002506233,0.00022039333,0.0000027660367],"about_ca_topic_score_codex":0.0019935,"about_ca_topic_score_gemma":0.001653909,"teacher_disagreement_score":0.0026602142,"about_ca_system_score_codex":0.0010129296,"about_ca_system_score_gemma":0.0010805087,"threshold_uncertainty_score":0.014068723},"labels":[],"label_agreement":null},{"id":"W4411484164","doi":"10.1109/tvt.2025.3579683","title":"RIS-Aided Communication in CF-mMIMO System With Co-Existing Aerial and Ground Users: Performance Analysis and Optimization","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"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 British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","score_opus":0.011702285541351711,"score_gpt":0.23321150361151768,"score_spread":0.22150921807016596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411484164","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":[0.14531887,0.0014130948,0.8335286,0.0005732176,0.000071783,0.00008019068,0.0001323896,0.00019524517,0.018686727],"genre_scores_gemma":[0.9616453,0.00052616803,0.035430633,0.00007988361,0.00003917029,0.000059938113,0.00005210166,0.000016286398,0.0021504576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947613,0.00017507956,0.000013438718,0.00007293016,0.00012878311,0.00013359755],"domain_scores_gemma":[0.9993832,0.0003006279,0.00010677977,0.000039135655,0.00013784411,0.00003239204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074671005,0.0011780552,0.00064629107,0.0003084557,0.00035564895,0.0009883812,0.00062256923,0.000830246,0.0013669397],"category_scores_gemma":[0.0013787841,0.0003057836,0.000418055,0.00074730127,0.0006822954,0.00070836494,0.000801933,0.00047617443,0.00028309063],"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":[0.00007806336,0.000027178108,0.00077700464,0.000056665383,0.000026618602,0.00009420542,0.000034398443,0.97463065,0.005657265,0.006580428,0.0005617162,0.011475863],"study_design_scores_gemma":[0.0000052322025,0.000056239627,0.00019491107,0.000004671216,0.000010162041,0.000026133135,0.000018474208,0.9978116,0.0009172789,0.00076952827,0.0001803754,0.0000054855977],"about_ca_topic_score_codex":0.0037164278,"about_ca_topic_score_gemma":0.0043393774,"teacher_disagreement_score":0.0037164278,"about_ca_system_score_codex":0.0011138895,"about_ca_system_score_gemma":0.0010888216,"threshold_uncertainty_score":0.008081913},"labels":[],"label_agreement":null},{"id":"W4411600821","doi":"10.1109/tvt.2025.3582827","title":"Co-Optimization of Adaptive Cruise Control and Hybrid Electric Vehicle Energy Management With Clutch Engagement Decision Control via Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","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":"University of Waterloo","funders":"Basic and Applied Basic Research Foundation of Guangdong Province","keywords":"Reinforcement learning; Clutch; Energy management; Control (management); Cruise control; Electric vehicle; Adaptive control; Reinforcement; Automotive engineering; Engineering; Cruise; Control engineering; Computer science; Energy (signal processing); Artificial intelligence; Aerospace engineering","score_opus":0.002301774195635499,"score_gpt":0.1818323185056692,"score_spread":0.1795305443100337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411600821","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":[0.041603103,0.0002935625,0.9539702,0.000174232,0.00004408112,0.000046663354,0.000015885662,0.0002639294,0.0035883063],"genre_scores_gemma":[0.97431755,0.00008500676,0.023645097,0.00005211242,0.000018036231,0.00008363667,0.000024246756,0.00001866635,0.0017556766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963903,0.000093240225,0.000014480157,0.000088899964,0.00010272146,0.00006154862],"domain_scores_gemma":[0.99945396,0.00027293945,0.00010542994,0.000028956789,0.000107457396,0.000031237993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078450114,0.0008214442,0.000780224,0.00029565676,0.00030247236,0.0006290972,0.00071188813,0.00066478585,0.00090812444],"category_scores_gemma":[0.001287923,0.00038687134,0.00048037714,0.00028874626,0.0007423802,0.0004894478,0.0008702849,0.0008386204,0.00013817514],"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":[0.000026120317,0.000021918619,0.00023400561,0.000018203262,0.00001780483,0.000023033515,0.000013606517,0.98963445,0.00066274055,0.0012171112,0.00013546913,0.007995462],"study_design_scores_gemma":[0.0000035690314,0.00001390335,0.0000344689,9.63957e-7,0.0000019683935,0.000002287214,0.0000011659564,0.99952567,0.00011442285,0.00023197304,0.00006837565,0.000001203186],"about_ca_topic_score_codex":0.008770324,"about_ca_topic_score_gemma":0.0050912607,"teacher_disagreement_score":0.008770324,"about_ca_system_score_codex":0.0005324279,"about_ca_system_score_gemma":0.0010481073,"threshold_uncertainty_score":0.01743853},"labels":[],"label_agreement":null},{"id":"W4411640186","doi":"10.1109/tvt.2025.3583346","title":"Analyzing Multi-Antenna Wireless Systems: Distribution Functions, Integral Identities, and Performance Metrics","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Wireless; Electronic engineering; Computer science; Antenna (radio); Telecommunications; Engineering","score_opus":0.007048095541714734,"score_gpt":0.2129490223409281,"score_spread":0.20590092679921337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411640186","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":[0.021738702,0.0012009261,0.9728478,0.00027966447,0.00003020817,0.000031007254,0.000042298634,0.00007153285,0.003757803],"genre_scores_gemma":[0.9047236,0.0026631386,0.090136044,0.000121703786,0.00022537848,0.00013716581,0.00010419541,0.00006855795,0.0018201054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980869,0.0010024371,0.00007655195,0.00014680793,0.000541723,0.00014563337],"domain_scores_gemma":[0.99514115,0.0033017835,0.0005389232,0.00037762703,0.0005092952,0.0001312399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040761107,0.0014861242,0.0008500727,0.0018760186,0.0003995005,0.0024163532,0.0010264907,0.0010783955,0.0006615325],"category_scores_gemma":[0.011339956,0.00031906363,0.00052325573,0.0016422394,0.00153689,0.0033875352,0.0014755067,0.0011796115,0.00023376953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032461736,0.00005936815,0.002125362,0.00009969449,0.000050438844,0.00016045582,0.000115788665,0.6602476,0.002609339,0.31024286,0.00070091576,0.023555672],"study_design_scores_gemma":[0.0000022619554,0.00002265992,0.00032709967,0.000013675974,0.000006213705,0.00006718434,0.00003526725,0.9536537,0.0006007678,0.044769015,0.0004924376,0.000009740531],"about_ca_topic_score_codex":0.0009820566,"about_ca_topic_score_gemma":0.0003984745,"teacher_disagreement_score":0.0040761107,"about_ca_system_score_codex":0.0016273917,"about_ca_system_score_gemma":0.00087929156,"threshold_uncertainty_score":0.021556795},"labels":[],"label_agreement":null},{"id":"W4411726108","doi":"10.1109/tvt.2025.3583760","title":"Sequential Descriptors for Visual Place Recognition: Combining EMLA Training With TFA-Net Aggregation","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Image and Video Retrieval Techniques","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":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Training (meteorology); Computer science; Artificial intelligence; Pattern recognition (psychology); Training set; Machine learning; Speech recognition; Computer vision; Engineering","score_opus":0.026205214618408516,"score_gpt":0.2899624219088879,"score_spread":0.26375720729047936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411726108","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":[0.0396243,0.00038686657,0.9542238,0.0001322661,0.00011422086,0.00011424025,0.00019226626,0.0031471653,0.002064942],"genre_scores_gemma":[0.4982353,0.00031142225,0.49368697,0.00025791652,0.00011916928,0.00020010615,0.0013613837,0.0002251425,0.0056026853],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99943167,0.00007151911,0.00003358542,0.00019875348,0.00017429811,0.00009010152],"domain_scores_gemma":[0.99920136,0.00019516151,0.00007488725,0.00018191001,0.00028930276,0.000057367586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009843868,0.0010076368,0.0012620264,0.0022251995,0.00048367822,0.0008515498,0.0019885888,0.00084805896,0.0027219998],"category_scores_gemma":[0.0023744195,0.00032454723,0.00062173285,0.0025158692,0.00044523264,0.0019010812,0.0013562267,0.000979346,0.0018142755],"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":[0.00021407493,0.00021077227,0.0022413547,0.00006484845,0.000050392453,0.00006169851,0.00006186042,0.06689912,0.015763309,0.0020978781,0.004668877,0.9076658],"study_design_scores_gemma":[0.000014594578,0.000103397,0.0009245203,0.000007868321,0.000015442094,0.000067655346,0.000044702487,0.9870024,0.007686345,0.0020048236,0.002115579,0.000012739612],"about_ca_topic_score_codex":0.008180254,"about_ca_topic_score_gemma":0.011302873,"teacher_disagreement_score":0.008180254,"about_ca_system_score_codex":0.0007744779,"about_ca_system_score_gemma":0.0011645583,"threshold_uncertainty_score":0.016265273},"labels":[],"label_agreement":null},{"id":"W4411726174","doi":"10.1109/tvt.2025.3583924","title":"Generative AI-Empowered Resilient Adaptive ISAC Against Adversarial Machine Learning Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Adversarial Robustness in Machine Learning","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":"Polytechnique Montréal","funders":"","keywords":"Adversarial system; Computer science; Generative grammar; Artificial intelligence; Adversarial machine learning; Machine learning","score_opus":0.008808521010667574,"score_gpt":0.2593226855303517,"score_spread":0.2505141645196841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411726174","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":[0.022151195,0.00028201911,0.9714049,0.00024522282,0.00006775421,0.0000524552,0.000056469064,0.0010847965,0.0046551493],"genre_scores_gemma":[0.9157405,0.00015781296,0.07890432,0.0003979967,0.0000515954,0.00009460857,0.00013706309,0.00014526756,0.004370778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939716,0.000116713374,0.000014550052,0.00016350523,0.0001951629,0.000112883994],"domain_scores_gemma":[0.9989492,0.00047417573,0.00011410108,0.0001693197,0.00022196327,0.00007125725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010389369,0.0010026098,0.0006224325,0.00039976567,0.000343148,0.0006781672,0.0014831298,0.0008459303,0.0017357771],"category_scores_gemma":[0.0025282982,0.00033101754,0.00054871326,0.00026476997,0.0012846966,0.0010563547,0.001795991,0.0018014765,0.0004896837],"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":[0.00005014821,0.000022266231,0.0005918595,0.000028964798,0.000030339566,0.00007000113,0.00005071119,0.9483989,0.004602943,0.0110678105,0.0013016199,0.033784505],"study_design_scores_gemma":[0.0000018776549,0.0000129857535,0.000069214264,0.0000022738525,0.0000030094939,0.00001814507,0.0000035410892,0.9966666,0.000823899,0.0020724267,0.00032188374,0.0000041535054],"about_ca_topic_score_codex":0.0033697737,"about_ca_topic_score_gemma":0.0033919443,"teacher_disagreement_score":0.0033697737,"about_ca_system_score_codex":0.0009258082,"about_ca_system_score_gemma":0.0010066192,"threshold_uncertainty_score":0.0067172647},"labels":[],"label_agreement":null},{"id":"W4411949741","doi":"10.1109/tvt.2025.3585111","title":"DNN Assisted Anti-Crosstalk Parallel Demodulation Method for PD-NOMA in Vehicular Communications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Crosstalk; Demodulation; Noma; Computer science; Electronic engineering; Telecommunications; Engineering; Telecommunications link","score_opus":0.016745996542751558,"score_gpt":0.28674685349366097,"score_spread":0.2700008569509094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411949741","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":[0.039665572,0.00038058037,0.95557404,0.00012340597,0.00011050104,0.00004918554,0.000036752856,0.00043174415,0.0036282],"genre_scores_gemma":[0.67664516,0.00039802387,0.31603515,0.00024464648,0.00006450284,0.0000673953,0.00013912642,0.00004339317,0.0063625327],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973613,0.000045410026,0.000018548628,0.00005869314,0.000106183295,0.00003500018],"domain_scores_gemma":[0.9997625,0.00005095535,0.000025514355,0.00002441053,0.00012352635,0.0000132433015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038775013,0.0005966099,0.0002879512,0.00036049812,0.00038894464,0.00036993367,0.0006489949,0.00040889432,0.0011033913],"category_scores_gemma":[0.00068081095,0.00017582653,0.00025960684,0.00026769686,0.00029598447,0.00057963684,0.0004556472,0.00065206876,0.00031655427],"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":[0.00035868224,0.0001689846,0.0017882312,0.00018019704,0.00009497944,0.00025474737,0.00017200688,0.14273342,0.135116,0.010897864,0.0022997572,0.7059352],"study_design_scores_gemma":[0.000017356117,0.00012770343,0.000380297,0.000011954525,0.000031391744,0.0001363911,0.000026052181,0.9404291,0.054443166,0.0018554365,0.0025239782,0.00001717329],"about_ca_topic_score_codex":0.0023539518,"about_ca_topic_score_gemma":0.0049905097,"teacher_disagreement_score":0.0023539518,"about_ca_system_score_codex":0.00045081548,"about_ca_system_score_gemma":0.0007535021,"threshold_uncertainty_score":0.0046805143},"labels":[],"label_agreement":null},{"id":"W4411996755","doi":"10.1109/tvt.2025.3585612","title":"Full-Order Tensor-Based Parameters Estimation and Channel Reconstruction for Heterogeneous Bi-Static mmWave ISAC","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Channel (broadcasting); Tensor (intrinsic definition); Electronic engineering; Computer science; Materials science; Engineering; Computer network; Mathematics","score_opus":0.0115157741621559,"score_gpt":0.22241599865021647,"score_spread":0.21090022448806056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411996755","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":[0.010952324,0.00015627903,0.9874894,0.00008482324,0.000025210924,0.000014974404,0.000038720857,0.00027403663,0.0009642678],"genre_scores_gemma":[0.5325453,0.0005349537,0.46315974,0.0001610838,0.000073691896,0.000076197786,0.00037316058,0.00007640998,0.0029993989],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955684,0.00010130786,0.000019028686,0.00008774582,0.00017835516,0.00005669096],"domain_scores_gemma":[0.99943584,0.00012318688,0.00009980697,0.00013982017,0.00016598216,0.000035345773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043658278,0.0010066858,0.0005440888,0.00043768162,0.0003953912,0.00069342105,0.00078605046,0.0005980959,0.0008705905],"category_scores_gemma":[0.0014275536,0.00030125587,0.0004703166,0.0007162457,0.00055030186,0.0013368796,0.0009225515,0.0009155139,0.00045603784],"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":[0.00032706934,0.00009584418,0.0028088286,0.00020145749,0.00010328093,0.00029765253,0.00023337262,0.5176214,0.085109405,0.03248886,0.003902312,0.35681057],"study_design_scores_gemma":[0.000004959695,0.000051040297,0.00028750105,0.0000052764926,0.000013528305,0.000084631785,0.000022253369,0.98855466,0.0077023404,0.0018919993,0.0013653531,0.000016512211],"about_ca_topic_score_codex":0.004549989,"about_ca_topic_score_gemma":0.005788339,"teacher_disagreement_score":0.004549989,"about_ca_system_score_codex":0.0004738213,"about_ca_system_score_gemma":0.0011608204,"threshold_uncertainty_score":0.009046972},"labels":[],"label_agreement":null},{"id":"W4411996778","doi":"10.1109/tvt.2025.3584960","title":"RIS-Aided Semi-Coherent MIMO Symbiotic Radio","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"MIMO; Radio frequency; Electronic engineering; Computer science; Engineering; Telecommunications; Beamforming","score_opus":0.005034724383226164,"score_gpt":0.21157335604592326,"score_spread":0.2065386316626971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411996778","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":[0.06489585,0.00033023348,0.9278077,0.000100522935,0.00004904627,0.000028113996,0.000027843837,0.00030739227,0.0064532794],"genre_scores_gemma":[0.8314385,0.00017368633,0.16538103,0.00009971951,0.00003035785,0.000046678175,0.00004566576,0.000024190465,0.002760218],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971145,0.000077240504,0.000009928536,0.000051304556,0.00011605748,0.000034049943],"domain_scores_gemma":[0.9997812,0.00007467176,0.000050984887,0.000036562706,0.00004291352,0.000013719806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021985693,0.0004926195,0.0003195373,0.00017333924,0.00019499284,0.0004262607,0.00050672865,0.00035397307,0.000965283],"category_scores_gemma":[0.00043027606,0.00018045885,0.00026048353,0.0002350706,0.0003947165,0.0005916432,0.00068556354,0.0003529677,0.00045939523],"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":[0.00035138952,0.00011155294,0.0016623084,0.00025462304,0.00009355828,0.00050008844,0.0002840355,0.32909185,0.38477367,0.046171356,0.001686217,0.23501928],"study_design_scores_gemma":[0.000029695595,0.00048377365,0.00043077013,0.000011350167,0.00002422406,0.00034499654,0.00003467462,0.946097,0.043639913,0.004569396,0.0042969105,0.000037268437],"about_ca_topic_score_codex":0.00016690166,"about_ca_topic_score_gemma":0.0002755966,"teacher_disagreement_score":0.000965283,"about_ca_system_score_codex":0.00019573478,"about_ca_system_score_gemma":0.00024326972,"threshold_uncertainty_score":0.0032292604},"labels":[],"label_agreement":null},{"id":"W4412021564","doi":"10.1109/tvt.2025.3586036","title":"CubeSat-Enabled Free-Space Optics: Joint Data Communication and Fine Beam Tracking","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Free-space optical communication; CubeSat; Free space; Laser beams; Joint (building); Optics; Tracking (education); Beam (structure); Optical communication; Computer science; Physics; Aerospace engineering; Electronic engineering; Electrical engineering; Engineering; Laser; Satellite","score_opus":0.021663677552407397,"score_gpt":0.2461909893635876,"score_spread":0.2245273118111802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412021564","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":[0.041476786,0.000585368,0.94048023,0.0005712133,0.00019622571,0.00008056282,0.00029181695,0.0016219235,0.01469592],"genre_scores_gemma":[0.56909144,0.00032807022,0.42367285,0.00040641232,0.00008464803,0.00012165649,0.0005729785,0.00010633567,0.00561556],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945503,0.00009303895,0.000014800024,0.000083733736,0.00029581002,0.000057597066],"domain_scores_gemma":[0.9994342,0.00014043013,0.00009655285,0.000117060365,0.00015641077,0.00005531729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000521382,0.0006359869,0.00038588993,0.00038440002,0.0005958783,0.0010363621,0.00065356825,0.000854055,0.0019006323],"category_scores_gemma":[0.0014159186,0.0001874273,0.0003536491,0.00087047153,0.0006434403,0.0011984502,0.0015995587,0.00080231024,0.0005776792],"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":[0.0007943339,0.00018362011,0.0050297854,0.00021380908,0.00016247373,0.00031756374,0.00028350693,0.41000476,0.080784954,0.056397833,0.0127067575,0.43312064],"study_design_scores_gemma":[0.00003080309,0.00009811979,0.0008379267,0.000013867762,0.000013031235,0.00015155521,0.00003768829,0.95888096,0.022662766,0.0101835085,0.0070536416,0.00003609574],"about_ca_topic_score_codex":0.0052276733,"about_ca_topic_score_gemma":0.008646065,"teacher_disagreement_score":0.0052276733,"about_ca_system_score_codex":0.00078101136,"about_ca_system_score_gemma":0.0018449192,"threshold_uncertainty_score":0.010394514},"labels":[],"label_agreement":null},{"id":"W4412404326","doi":"10.1109/tvt.2025.3589019","title":"KLOTSKI: Towards Consensus Enabled Collaborative Vehicles in Intelligent Transportation","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Intelligent transportation system; Transport engineering; Computer science; Systems engineering; Engineering","score_opus":0.007530128440758633,"score_gpt":0.23800386106761875,"score_spread":0.23047373262686013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412404326","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":[0.015174092,0.00038578382,0.97127444,0.0006203833,0.00014412017,0.00023209263,0.00009400563,0.0023399382,0.009735134],"genre_scores_gemma":[0.42475858,0.00089185237,0.5471539,0.00035621008,0.000077485216,0.0005396836,0.000502572,0.0003030823,0.025416672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990233,0.00026439095,0.000071396826,0.00019408262,0.0003163012,0.00013040757],"domain_scores_gemma":[0.99932027,0.00015413313,0.0000645129,0.00014002057,0.00017912559,0.00014186416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015631373,0.000772511,0.0005753658,0.0006392027,0.0011638225,0.00224077,0.0019731545,0.0013643418,0.0030439529],"category_scores_gemma":[0.0024540501,0.00045020334,0.0005916672,0.000584071,0.0014825983,0.003059374,0.003507846,0.001723824,0.0016939879],"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":[0.00041824376,0.00023951239,0.0009677756,0.00042744042,0.000080364014,0.00046330082,0.0009913911,0.44133645,0.030432172,0.3543486,0.013399497,0.15689532],"study_design_scores_gemma":[0.0000870902,0.00014495592,0.0002487349,0.000049945542,0.00003115902,0.000089718684,0.00026211428,0.85039926,0.015692059,0.07810875,0.054836247,0.00005002319],"about_ca_topic_score_codex":0.008076197,"about_ca_topic_score_gemma":0.007011132,"teacher_disagreement_score":0.008076197,"about_ca_system_score_codex":0.0016338619,"about_ca_system_score_gemma":0.0034351659,"threshold_uncertainty_score":0.016058385},"labels":[],"label_agreement":null},{"id":"W4412404353","doi":"10.1109/tvt.2025.3588155","title":"Adaptive Resource Allocation for IoT With Computing Power Network Based on RIS-UAV-Aided NOMA-THz Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Noma; Resource allocation; Computer science; Resource management (computing); Internet of Things; Power (physics); Computer network; Distributed computing; Telecommunications link; Embedded system; Physics","score_opus":0.00754004090655864,"score_gpt":0.224788978861018,"score_spread":0.21724893795445938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412404353","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":[0.071535856,0.000421559,0.92053133,0.0002585621,0.000072365445,0.00003834952,0.000023183049,0.00014984734,0.0069689443],"genre_scores_gemma":[0.9692357,0.00015676352,0.028562484,0.00005040561,0.000021706968,0.000045251818,0.000018402481,0.0000103218135,0.0018989474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985397,0.00004035046,0.0000053632834,0.000040501356,0.000033021963,0.000026805246],"domain_scores_gemma":[0.9998671,0.00005729478,0.000025713209,0.000010702783,0.000026154725,0.0000130416365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024192655,0.00036373467,0.00035693237,0.0001653389,0.00033923177,0.00044467745,0.000538415,0.00031145415,0.0007398941],"category_scores_gemma":[0.00045737543,0.00015322043,0.00022148543,0.00022086018,0.00043228807,0.0005310567,0.0005001945,0.00037564678,0.00010618669],"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":[0.000101085556,0.00003727951,0.0006051411,0.000040831233,0.000026422582,0.00013038772,0.000050491348,0.9475874,0.008301094,0.010896474,0.0008183449,0.03140504],"study_design_scores_gemma":[0.0000028781185,0.000014822401,0.000054612115,0.000001226643,0.000002776621,0.000009473895,0.0000045383777,0.9984653,0.00038912988,0.0008787084,0.0001746195,0.0000018545156],"about_ca_topic_score_codex":0.001997724,"about_ca_topic_score_gemma":0.002960932,"teacher_disagreement_score":0.001997724,"about_ca_system_score_codex":0.0004673944,"about_ca_system_score_gemma":0.0004962786,"threshold_uncertainty_score":0.0039721727},"labels":[],"label_agreement":null},{"id":"W4412536743","doi":"10.1109/tvt.2025.3591224","title":"Joint Imaging and Downlink Communication With Shared Resources","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Joint (building); Telecommunications link; Computer science; Telecommunications; Computer network; Engineering","score_opus":0.007284670040505735,"score_gpt":0.23954037397783928,"score_spread":0.23225570393733355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412536743","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":[0.08778312,0.0005279361,0.90321165,0.00030803974,0.000031623145,0.000037064685,0.000047281836,0.00024180482,0.00781151],"genre_scores_gemma":[0.9467068,0.0001874077,0.051366363,0.000077491975,0.000054497308,0.00004917805,0.000035910525,0.000029365774,0.0014930106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986449,0.0003392055,0.00005042318,0.00019290305,0.0004225039,0.0003500867],"domain_scores_gemma":[0.99741447,0.0013029967,0.000320109,0.00046330868,0.00035720874,0.00014195977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011546798,0.00093502545,0.001024126,0.00038364966,0.0006267265,0.0015224259,0.0010581138,0.0007579528,0.0012360605],"category_scores_gemma":[0.00376379,0.00032322103,0.00030460692,0.000894072,0.0010269417,0.0021670493,0.0020843213,0.00086884905,0.0003179265],"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":[0.0006250362,0.00014145621,0.003118115,0.00020659654,0.000088986555,0.0007198806,0.00037791344,0.71540517,0.040749375,0.07835274,0.0020239193,0.15819076],"study_design_scores_gemma":[0.000017660286,0.00019202258,0.00048654433,0.0000130772605,0.00002747703,0.00033119315,0.00012868484,0.9772907,0.010444518,0.009518216,0.001524548,0.000025363119],"about_ca_topic_score_codex":0.0013923369,"about_ca_topic_score_gemma":0.0015939303,"teacher_disagreement_score":0.0015224259,"about_ca_system_score_codex":0.00078570447,"about_ca_system_score_gemma":0.0010655762,"threshold_uncertainty_score":0.0061065555},"labels":[],"label_agreement":null},{"id":"W4412722568","doi":"10.1109/tvt.2025.3593372","title":"Multi-Dimensional Spectrum Prediction Using Closed-Form Continuous-Time Neural Network With Graph Attention","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Artificial neural network; Graph; Computer science; Graph theory; Spectrum (functional analysis); Artificial intelligence; Mathematics; Theoretical computer science; Physics; Combinatorics","score_opus":0.008605066956959366,"score_gpt":0.23387036896239524,"score_spread":0.22526530200543587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412722568","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":[0.017754946,0.0003442879,0.9787188,0.00030256016,0.0001353254,0.000028457138,0.00008142559,0.0009309591,0.0017031741],"genre_scores_gemma":[0.84946054,0.0003169803,0.14441825,0.00031129346,0.00014347452,0.00007155718,0.0003073621,0.00010994154,0.00486052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996408,0.000067883986,0.000019330042,0.00012755055,0.00008796376,0.00005653628],"domain_scores_gemma":[0.9987777,0.0006943033,0.00009165647,0.00009399895,0.00029824986,0.000044114906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006498809,0.0008528502,0.00087992515,0.0004953827,0.00039350355,0.00091763603,0.0012627767,0.0013288662,0.0026195094],"category_scores_gemma":[0.0031299505,0.0004324212,0.00047834942,0.00076005765,0.0005560006,0.0013758405,0.0008785383,0.0015958643,0.000727577],"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":[0.00037778736,0.00022817698,0.0010289138,0.00010851965,0.0000820458,0.00013118962,0.00008269514,0.65551895,0.007904156,0.0070646005,0.0040868917,0.323386],"study_design_scores_gemma":[0.0000025690667,0.000006099959,0.00005372966,0.0000017253656,0.0000027522294,0.0000059971126,0.0000017895748,0.9987091,0.00030919284,0.0008474449,0.00005723803,0.000002306248],"about_ca_topic_score_codex":0.011893326,"about_ca_topic_score_gemma":0.014797847,"teacher_disagreement_score":0.011893326,"about_ca_system_score_codex":0.0006582108,"about_ca_system_score_gemma":0.0009141376,"threshold_uncertainty_score":0.023648202},"labels":[],"label_agreement":null},{"id":"W4412722576","doi":"10.1109/tvt.2025.3593493","title":"Enhancing Security in Parallel Federated Learning With Sharded Blockchain for Internet of Vehicles","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Blockchain; The Internet; Computer security; Computer science; Computer network; World Wide Web","score_opus":0.013558632124544577,"score_gpt":0.25148356907546743,"score_spread":0.23792493695092284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412722576","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":[0.21610482,0.00046468736,0.7756366,0.00052911567,0.00016443917,0.00020187744,0.00018517068,0.0015490348,0.0051641883],"genre_scores_gemma":[0.9745309,0.000068626454,0.023719696,0.00004507497,0.00001522519,0.000040830262,0.00008327045,0.0000256567,0.0014707539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983463,0.00042998837,0.000090913454,0.00030548722,0.0004279523,0.00039932015],"domain_scores_gemma":[0.99593216,0.0017118799,0.00026769572,0.001140074,0.0007494249,0.00019875195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026097142,0.0005795482,0.0011464603,0.00064935314,0.0011265062,0.0015521263,0.0016933066,0.0012348931,0.0042899186],"category_scores_gemma":[0.0054880516,0.0003328149,0.00045055238,0.00072556833,0.0011599207,0.003551154,0.0025203489,0.0011505821,0.00050707627],"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":[0.00093189586,0.00039271847,0.0023705545,0.00014366258,0.00008869722,0.00031497848,0.00015074355,0.8166607,0.0071429345,0.03630828,0.002672938,0.13282195],"study_design_scores_gemma":[0.000029123477,0.00008215856,0.00011087171,0.000007643993,0.000009499458,0.0000423715,0.000028231265,0.97648674,0.0017639125,0.020924026,0.00050775346,0.000007620534],"about_ca_topic_score_codex":0.003438282,"about_ca_topic_score_gemma":0.004130901,"teacher_disagreement_score":0.0042899186,"about_ca_system_score_codex":0.00090276357,"about_ca_system_score_gemma":0.0026430753,"threshold_uncertainty_score":0.014351249},"labels":[],"label_agreement":null},{"id":"W4412748022","doi":"10.1109/tvt.2025.3593868","title":"Joint Superimposed Pilot-Aided Channel Estimation and Data Detection for FTN Signaling Over Doubly-Selective Channels","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Joint (building); Channel (broadcasting); Electronic engineering; Computer science; Engineering; Electrical engineering; Telecommunications","score_opus":0.026895131464396687,"score_gpt":0.2690369058906058,"score_spread":0.24214177442620913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412748022","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":[0.037336316,0.00023358013,0.9604825,0.0000776149,0.000040435054,0.000019546329,0.000030806284,0.00022518542,0.0015540788],"genre_scores_gemma":[0.6154123,0.00030300574,0.38223952,0.000084131156,0.000051637948,0.000048637725,0.00009543468,0.000021338046,0.0017439855],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994721,0.00016269542,0.000022600507,0.00007093308,0.00022245907,0.00004919495],"domain_scores_gemma":[0.99909604,0.000430411,0.00010600446,0.000160982,0.00017661185,0.00002992726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005073821,0.00047542265,0.00034231384,0.00032414278,0.00029532207,0.00036018586,0.000526156,0.00046645929,0.0009828728],"category_scores_gemma":[0.0021331485,0.00018713516,0.0002997112,0.00039245965,0.00039737692,0.0007111731,0.000519242,0.0005276554,0.00031402273],"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":[0.00075943535,0.0001577615,0.0028492098,0.00026974644,0.000116579584,0.0005089778,0.0004245055,0.3065515,0.14503358,0.029954033,0.0022363309,0.5111384],"study_design_scores_gemma":[0.000016495185,0.00009328748,0.00040494534,0.000012898059,0.000015632408,0.00022278145,0.000016637216,0.97071487,0.02487432,0.0017368919,0.0018708259,0.000020414576],"about_ca_topic_score_codex":0.0016158981,"about_ca_topic_score_gemma":0.0029560598,"teacher_disagreement_score":0.0016158981,"about_ca_system_score_codex":0.0002961259,"about_ca_system_score_gemma":0.00080536574,"threshold_uncertainty_score":0.0032880902},"labels":[],"label_agreement":null},{"id":"W4412796206","doi":"10.1109/tvt.2025.3594616","title":"Improving Freeway Network Mobility: A Comparative Study of Vehicle Cloudification and VANET Architectures","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ministère des Transports","keywords":"Vehicular ad hoc network; Computer network; Computer science; Transport engineering; Vehicular communication systems; Engineering; Telecommunications; Wireless ad hoc network; Wireless","score_opus":0.008049683724428672,"score_gpt":0.22822195279862287,"score_spread":0.22017226907419418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412796206","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":[0.92746073,0.009330065,0.025777947,0.0006158586,0.00011321427,0.00015373473,0.00038201513,0.00022605971,0.03594036],"genre_scores_gemma":[0.99445724,0.0016950084,0.0024180755,0.00002191397,0.000021254864,0.000013031655,0.00012350184,0.0000139704225,0.0012360455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928254,0.00017291476,0.000030402307,0.000082675855,0.00026889893,0.00016267356],"domain_scores_gemma":[0.9985386,0.0005621154,0.00017110411,0.00013294148,0.0004890837,0.00010617897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006374503,0.000415918,0.00028479856,0.0015077853,0.00034578846,0.0011000643,0.0005622317,0.0003496462,0.0010800821],"category_scores_gemma":[0.002086274,0.00010327472,0.00029864925,0.0020612266,0.00028238975,0.0019871518,0.00056560634,0.00027054467,0.00013740244],"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":[0.0014714,0.0003456913,0.061893053,0.0011039821,0.00037215167,0.0005084169,0.0008468307,0.44624,0.01551952,0.035773277,0.0036677793,0.4322579],"study_design_scores_gemma":[0.00006340177,0.002799886,0.116414145,0.00032172873,0.0004200446,0.001311694,0.004474696,0.7943656,0.020069547,0.0076574236,0.051988717,0.00011315994],"about_ca_topic_score_codex":0.008747397,"about_ca_topic_score_gemma":0.008666595,"teacher_disagreement_score":0.008747397,"about_ca_system_score_codex":0.0014088255,"about_ca_system_score_gemma":0.00061971374,"threshold_uncertainty_score":0.017392993},"labels":[],"label_agreement":null},{"id":"W4412837196","doi":"10.1109/tvt.2025.3594998","title":"Fluid Antenna-Assisted Uplink NOMA Networks Under Imperfect SIC","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","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":"Université Laval","funders":"","keywords":"Telecommunications link; Noma; Imperfect; Computer science; Computer network; Antenna (radio); Electronic engineering; Telecommunications; Engineering","score_opus":0.007434574946887819,"score_gpt":0.2290191261366383,"score_spread":0.22158455118975048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412837196","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":[0.12699585,0.00055623753,0.86349636,0.00039386275,0.00009578088,0.00003528885,0.00006757265,0.0002859407,0.008073078],"genre_scores_gemma":[0.98881567,0.000108112275,0.009718273,0.00006290235,0.000019367775,0.000020235562,0.000014777218,0.0000088001725,0.0012318742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992299,0.00032274975,0.000018803477,0.000085532,0.0001533603,0.00018972647],"domain_scores_gemma":[0.9980945,0.0011102419,0.00033259753,0.0001285927,0.00021558466,0.00011852459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009553718,0.0007400742,0.00095580064,0.00031036718,0.00047711402,0.0009098341,0.0007613077,0.00078059616,0.000511074],"category_scores_gemma":[0.0035789164,0.0004310622,0.00037503795,0.0004403346,0.0014866911,0.0010091335,0.0013258443,0.0008259837,0.00015173164],"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":[0.000043614888,0.000011577932,0.00031696106,0.000017466538,0.000015235705,0.000099254576,0.00003390983,0.98365706,0.0009416922,0.010300102,0.00020211413,0.004361028],"study_design_scores_gemma":[0.0000029837222,0.000015964677,0.000057683006,0.0000018314391,0.0000030316803,0.000014988989,0.0000070004594,0.99718946,0.00016526229,0.0024499597,0.00008818512,0.0000036544013],"about_ca_topic_score_codex":0.0033468667,"about_ca_topic_score_gemma":0.0029596696,"teacher_disagreement_score":0.0033468667,"about_ca_system_score_codex":0.0009377014,"about_ca_system_score_gemma":0.0008372835,"threshold_uncertainty_score":0.0068035126},"labels":[],"label_agreement":null},{"id":"W4412939936","doi":"10.1109/tvt.2025.3595464","title":"A Hybrid Advertising Mode for Neighbor Discovery in Bluetooth Low Energy Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Bluetooth and Wireless Communication Technologies","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":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Bluetooth Low Energy; Bluetooth; Mode (computer interface); Computer science; Energy (signal processing); Telecommunications; Wireless; Physics; Operating system","score_opus":0.005973398878556392,"score_gpt":0.23481307719615108,"score_spread":0.2288396783175947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412939936","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11474601,0.002903603,0.8682491,0.00069135294,0.00016102623,0.00012734834,0.00007690345,0.0013019617,0.011742631],"genre_scores_gemma":[0.94392335,0.0006330643,0.05250005,0.00011747515,0.000065821405,0.00005929598,0.00005233855,0.000025919322,0.0026226903],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942255,0.00018993451,0.00003372425,0.000092655006,0.0001984013,0.000062840954],"domain_scores_gemma":[0.99897015,0.00057765987,0.00009627857,0.00016552236,0.00014775059,0.000042721647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007391002,0.00037738078,0.00031381444,0.0006341711,0.00053985923,0.0008885425,0.0010064897,0.0005056734,0.00050785654],"category_scores_gemma":[0.0021264905,0.00030763602,0.0002797777,0.0005420974,0.00047639527,0.0012336064,0.00049935986,0.0004918578,0.00019586789],"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":[0.00069562986,0.00034110373,0.008701818,0.0004796609,0.00013312323,0.00084411254,0.0007834447,0.25847644,0.092212856,0.17922664,0.0069031524,0.451202],"study_design_scores_gemma":[0.000046957583,0.0003232,0.0014114439,0.000021451786,0.00007416683,0.0015596277,0.000108249966,0.95253724,0.014134746,0.016290518,0.013409822,0.00008260519],"about_ca_topic_score_codex":0.001237869,"about_ca_topic_score_gemma":0.0023232675,"teacher_disagreement_score":0.001237869,"about_ca_system_score_codex":0.00045629678,"about_ca_system_score_gemma":0.00053170224,"threshold_uncertainty_score":0.0039087534},"labels":[],"label_agreement":null},{"id":"W4413010803","doi":"10.1109/tvt.2025.3596299","title":"Resilient Fault-Tolerant Cooperative Control for Multiple Unmanned Aerial Vehicles Under DoS Attacks and Actuator Faults","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Fault Detection and Control Systems","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":"Concordia University","funders":"Fundamental Research Funds for the Central Universities; Aeronautical Science Foundation of China; National Natural Science Foundation of China","keywords":"Actuator; Fault detection and isolation; Fault tolerance; Computer science; Engineering; Fault (geology); Control engineering; Control (management); Automotive engineering; Control theory (sociology); Reliability engineering; Electrical engineering; Artificial intelligence","score_opus":0.006264142621073083,"score_gpt":0.2294075246303676,"score_spread":0.2231433820092945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413010803","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":[0.10172741,0.00022497015,0.8959328,0.0001566016,0.000044186047,0.000029753732,0.0000136404005,0.00018520319,0.0016854743],"genre_scores_gemma":[0.99298567,0.00005180989,0.0063587106,0.000017877139,0.000009831588,0.000024841143,0.000009713451,0.000003993919,0.0005375598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995121,0.00008260373,0.000021916487,0.00016045819,0.00014231095,0.0000806786],"domain_scores_gemma":[0.9993907,0.00019113516,0.00019391843,0.000059273512,0.0001290577,0.000035829147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005506927,0.0007147981,0.0005295057,0.00030976234,0.0005511693,0.0006224351,0.0007986329,0.0006148583,0.00037406795],"category_scores_gemma":[0.001358328,0.00020751533,0.00040615202,0.00026578087,0.00069142785,0.0006255759,0.00086262834,0.0005448771,0.0000685769],"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":[0.000076849145,0.000025155161,0.00073151576,0.00005722529,0.00003441479,0.00015816977,0.0002051078,0.95587075,0.010217017,0.00447451,0.00027472436,0.02787461],"study_design_scores_gemma":[0.000006452797,0.000059924452,0.00015046354,0.0000019390097,0.000006324453,0.0000133663625,0.00001815282,0.9979608,0.00082163705,0.00081033946,0.00014736937,0.0000031177688],"about_ca_topic_score_codex":0.0061956057,"about_ca_topic_score_gemma":0.0027105284,"teacher_disagreement_score":0.0061956057,"about_ca_system_score_codex":0.0004995167,"about_ca_system_score_gemma":0.00057964516,"threshold_uncertainty_score":0.012319088},"labels":[],"label_agreement":null},{"id":"W4413074279","doi":"10.1109/tvt.2025.3589527","title":"Extreme Learning Machine-Based Feature Refinment for Channel Estimation in RIS-ISAC Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Research Chairs","keywords":"Channel (broadcasting); Feature (linguistics); Computer science; Estimation; Artificial intelligence; Engineering; Electronic engineering; Systems engineering; Telecommunications","score_opus":0.010747734882455553,"score_gpt":0.246963326524168,"score_spread":0.23621559164171244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413074279","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":[0.015388112,0.000079788326,0.98365283,0.000057669327,0.000012662774,0.000009543207,0.000012189604,0.00018353337,0.00060361717],"genre_scores_gemma":[0.85942334,0.00015838326,0.13804463,0.0000997891,0.000036836926,0.00006990447,0.00009128476,0.000050173374,0.0020255295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997677,0.00007762738,0.000009883569,0.000040515173,0.000072856266,0.00003145239],"domain_scores_gemma":[0.99951494,0.0002628568,0.00006440938,0.000053730564,0.00008460715,0.00001938239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049396814,0.00048577334,0.0005179175,0.00026868284,0.00021458676,0.00043297865,0.00070172787,0.00060107093,0.00091464503],"category_scores_gemma":[0.0015665144,0.0002348058,0.00041729969,0.00030934744,0.00052669994,0.0006754292,0.00061217026,0.0009443046,0.00022107697],"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":[0.000092753406,0.000035064426,0.0008751797,0.00006131666,0.000028914264,0.00008869197,0.00006236488,0.913182,0.008745383,0.0068623913,0.00064039166,0.06932548],"study_design_scores_gemma":[0.000001122361,0.00000798865,0.00006425293,0.0000012717918,0.000001265561,0.000007943971,0.00000193028,0.9984497,0.0006165552,0.0007487304,0.00009683314,0.0000024747778],"about_ca_topic_score_codex":0.0013447413,"about_ca_topic_score_gemma":0.001316077,"teacher_disagreement_score":0.0013447413,"about_ca_system_score_codex":0.00030664186,"about_ca_system_score_gemma":0.0003523696,"threshold_uncertainty_score":0.0030597448},"labels":[],"label_agreement":null},{"id":"W4413126200","doi":"10.1109/tvt.2025.3596618","title":"Efficiency Optimization for Blockchain-Enabled V2V Energy Trading With Dynamic Clustering Based on Deep Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","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":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Blockchain; Reinforcement learning; Cluster analysis; Computer science; Efficient energy use; Distributed computing; Artificial intelligence; Engineering; Computer security; Electrical engineering","score_opus":0.0023547022779791516,"score_gpt":0.1827386537104129,"score_spread":0.18038395143243374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413126200","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":[0.2065671,0.0005986803,0.7829908,0.00056604284,0.000072820134,0.0001122963,0.0001151977,0.00065372925,0.008323343],"genre_scores_gemma":[0.990393,0.000048895392,0.008363815,0.000039240465,0.000005852333,0.00002844231,0.000034013403,0.000014825979,0.0010718625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996197,0.00007695007,0.000018839755,0.00008609036,0.00008569627,0.00011266862],"domain_scores_gemma":[0.9990609,0.00047010588,0.00011980339,0.00006605429,0.00019304067,0.000090021385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008130183,0.0006569057,0.00091430574,0.00030592416,0.0005187997,0.00085561076,0.0009733735,0.0007348176,0.0021469246],"category_scores_gemma":[0.0018255615,0.00034263544,0.0003041603,0.00034727826,0.0007411156,0.0010438259,0.0011954852,0.0009098813,0.00021592925],"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":[0.00007430255,0.000042713556,0.0005533212,0.000026409187,0.00001353119,0.00003784085,0.000023331288,0.98207617,0.0011328452,0.0024979168,0.00038010048,0.013141397],"study_design_scores_gemma":[0.000003504344,0.000009571545,0.00002802036,8.4753464e-7,0.0000012184379,0.0000028024995,0.0000024204555,0.9991536,0.00013119979,0.00063085085,0.000034857138,0.0000011717301],"about_ca_topic_score_codex":0.00800064,"about_ca_topic_score_gemma":0.008378444,"teacher_disagreement_score":0.00800064,"about_ca_system_score_codex":0.0012758292,"about_ca_system_score_gemma":0.0016202828,"threshold_uncertainty_score":0.015908122},"labels":[],"label_agreement":null},{"id":"W4413156953","doi":"10.1109/tvt.2025.3598585","title":"A Modulation Scheme for Enhanced Performance of Hybrid Source Inverters in Electric Vehicles Application","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced DC-DC Converters","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":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modulation (music); Scheme (mathematics); Electronic engineering; Electrical engineering; Engineering; Computer science; Physics; Acoustics","score_opus":0.003686494919072423,"score_gpt":0.20360508219612342,"score_spread":0.199918587277051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413156953","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":[0.19563346,0.0022130776,0.775514,0.00038529676,0.00018837916,0.0001683343,0.00023776642,0.0012999879,0.0243596],"genre_scores_gemma":[0.9419851,0.00039907382,0.05444678,0.00005075467,0.000043547116,0.00004706958,0.00011009968,0.000030863277,0.0028867405],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990463,0.000013695301,0.000008873589,0.000016735516,0.00004900609,0.00000705999],"domain_scores_gemma":[0.9999279,0.000011771038,0.000013391355,0.000011311311,0.00003254529,0.0000031191692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011137438,0.00026276516,0.00017178747,0.00029487614,0.00016336842,0.0002895697,0.0003092982,0.00022278183,0.0020756174],"category_scores_gemma":[0.00019478826,0.0000692779,0.00012193263,0.0003737755,0.00010596881,0.0004196355,0.00014394891,0.0002616654,0.00044295893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035391902,0.00010464915,0.00071898283,0.00031211687,0.00003521407,0.000111105925,0.00018017476,0.009549539,0.5344722,0.013364827,0.0020205143,0.4387766],"study_design_scores_gemma":[0.00018493897,0.0018765724,0.006404768,0.00013587825,0.000117052405,0.001241081,0.00010179897,0.42054576,0.49580136,0.0074237753,0.066102654,0.00006443665],"about_ca_topic_score_codex":0.00017232967,"about_ca_topic_score_gemma":0.00023654186,"teacher_disagreement_score":0.0020756174,"about_ca_system_score_codex":0.00019178628,"about_ca_system_score_gemma":0.00007816707,"threshold_uncertainty_score":0.006943643},"labels":[],"label_agreement":null},{"id":"W4413156962","doi":"10.1109/tvt.2025.3598591","title":"Energy-Efficient Design for Downlink Pinching-Antenna Systems With QoS Guarantee","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Quality of service; Energy (signal processing); Computer science; Antenna (radio); Computer network; Electrical engineering; Electronic engineering; Engineering; Telecommunications; Physics","score_opus":0.008145988369671852,"score_gpt":0.20307037035915465,"score_spread":0.1949243819894828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413156962","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":[0.02261265,0.00067129766,0.96831346,0.00016651727,0.000059639497,0.000048338403,0.000052867454,0.00021219101,0.007863069],"genre_scores_gemma":[0.9279221,0.0007883035,0.06791761,0.00014164417,0.00006689699,0.00011800922,0.000071155206,0.000048096907,0.0029260342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994948,0.0001433147,0.000021984246,0.000085978034,0.00014280526,0.00011103351],"domain_scores_gemma":[0.9994536,0.00022747724,0.00008627848,0.000045243847,0.00015391852,0.000033452474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004417683,0.0010240269,0.0007326583,0.00031575974,0.00037133164,0.0011927373,0.00093266176,0.0006956139,0.0029761954],"category_scores_gemma":[0.0015414358,0.00042873985,0.00033773592,0.0006092736,0.00047378274,0.00072845153,0.0008265463,0.00074237556,0.00067900115],"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":[0.00015587677,0.000041443225,0.0006951248,0.00016074064,0.00003654552,0.00021833557,0.00010864832,0.91223687,0.019988764,0.017476877,0.0018478114,0.04703305],"study_design_scores_gemma":[0.000010967985,0.00007276669,0.00010475836,0.000009609386,0.000010187402,0.0000688041,0.0000331808,0.9945176,0.001527892,0.0025224744,0.0011139549,0.000007732139],"about_ca_topic_score_codex":0.0013533076,"about_ca_topic_score_gemma":0.0014433524,"teacher_disagreement_score":0.0029761954,"about_ca_system_score_codex":0.00072591833,"about_ca_system_score_gemma":0.0006509099,"threshold_uncertainty_score":0.0099564195},"labels":[],"label_agreement":null},{"id":"W4413157262","doi":"10.1109/tvt.2025.3598114","title":"Joint Optimization of Beamforming, Subchannel, and Power Allocation in Multi-Satellite BH-NOMA Communication System","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Noma; Beamforming; Joint (building); Communications satellite; Computer science; Interference (communication); Power (physics); Telecommunications link; Satellite; Electronic engineering; Engineering; Telecommunications; Channel (broadcasting); Aerospace engineering","score_opus":0.015665108706585017,"score_gpt":0.23250718680659543,"score_spread":0.2168420781000104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413157262","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":[0.04755786,0.00050408766,0.9476913,0.0003364357,0.000037609112,0.000039416078,0.000030738636,0.00009975535,0.0037028282],"genre_scores_gemma":[0.9395124,0.00035967043,0.057656918,0.00007891532,0.00003652236,0.000066788314,0.00002973634,0.000020267302,0.0022388424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993037,0.0003385814,0.000017643264,0.00009202232,0.00013841457,0.00010967177],"domain_scores_gemma":[0.99968684,0.00017976863,0.000047446745,0.00001425001,0.000041792377,0.000029954896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008552957,0.0006387451,0.00082127866,0.0002641585,0.00034327645,0.00082498515,0.00049188314,0.0006886429,0.00074967754],"category_scores_gemma":[0.0008875673,0.0003983363,0.00039522763,0.00062216324,0.00073409174,0.0006723583,0.0010233563,0.0006150816,0.00012029215],"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":[0.00006686317,0.000028377472,0.00041394582,0.00004155455,0.0000329051,0.00008475326,0.000035666853,0.9743188,0.0028023045,0.0073622162,0.00042647516,0.014386113],"study_design_scores_gemma":[0.0000064653714,0.000029368104,0.00010385241,0.0000018542901,0.0000058297182,0.000015010506,0.000011992313,0.9975853,0.00039641027,0.0016879262,0.0001524188,0.0000034817442],"about_ca_topic_score_codex":0.0032424896,"about_ca_topic_score_gemma":0.0024381657,"teacher_disagreement_score":0.0032424896,"about_ca_system_score_codex":0.0006552665,"about_ca_system_score_gemma":0.0011496082,"threshold_uncertainty_score":0.0064472556},"labels":[],"label_agreement":null},{"id":"W4413188086","doi":"10.1109/tvt.2025.3597459","title":"Adaptive Task Offloading and Resource Management for Vehicular Edge Computing","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Edge computing; Computer science; Resource management (computing); Task (project management); Enhanced Data Rates for GSM Evolution; Computer network; Distributed computing; Embedded system; Engineering; Systems engineering; Telecommunications","score_opus":0.00981361232158443,"score_gpt":0.2348456777136503,"score_spread":0.22503206539206588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413188086","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":[0.08878717,0.0009369234,0.903778,0.00022722856,0.00012211833,0.00009186654,0.00006764298,0.00073531474,0.0052537723],"genre_scores_gemma":[0.9584216,0.00018940638,0.039911818,0.000056292145,0.000027389899,0.000043994456,0.00006508188,0.000040465402,0.0012438787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996049,0.00006784685,0.000019760875,0.000080014215,0.00007230971,0.0001551702],"domain_scores_gemma":[0.99970454,0.000081776794,0.000032204734,0.000065088236,0.000061668754,0.000054817425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003339938,0.00072057254,0.00060423755,0.00047645796,0.0007407855,0.0007608631,0.0013068919,0.00040147416,0.0009361882],"category_scores_gemma":[0.00082670816,0.00020970748,0.0002512323,0.00057768525,0.00038063765,0.000929523,0.0010719973,0.0004851956,0.00023307341],"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":[0.0003605966,0.0002308538,0.0020410854,0.0001438601,0.000056367222,0.00022119987,0.00021235795,0.7423719,0.03195332,0.014186872,0.00466727,0.20355426],"study_design_scores_gemma":[0.0000066154025,0.00003910191,0.00026932242,0.000004366876,0.000007716655,0.00004334606,0.00006394218,0.99242663,0.002612913,0.0031817125,0.0013345403,0.0000098650935],"about_ca_topic_score_codex":0.00517746,"about_ca_topic_score_gemma":0.008857828,"teacher_disagreement_score":0.00517746,"about_ca_system_score_codex":0.0006065854,"about_ca_system_score_gemma":0.0011082386,"threshold_uncertainty_score":0.010294676},"labels":[],"label_agreement":null},{"id":"W4413267339","doi":"10.1109/tvt.2025.3593053","title":"Effective Digital PIM Cancellation in Multi-Band MIMO FDD Radios in 5G and Beyond","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","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":"Carleton University; McGill University; Ericsson (Canada)","funders":"","keywords":"MIMO; Electronic engineering; Computer science; Electrical engineering; Telecommunications; Engineering; Beamforming","score_opus":0.004942552022236662,"score_gpt":0.21974450797097003,"score_spread":0.21480195594873336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413267339","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063326284,0.0006108492,0.92551327,0.00019299211,0.000080651735,0.000037287915,0.00007482706,0.00060678425,0.009556974],"genre_scores_gemma":[0.8756381,0.000629904,0.119806066,0.00018464969,0.000052145107,0.00003276685,0.000098197255,0.00004798219,0.003510121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996729,0.00006670977,0.00000862207,0.00003874498,0.00017945045,0.000033675195],"domain_scores_gemma":[0.9997434,0.0001278407,0.00003460111,0.000042544914,0.000042158634,0.000009494666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042460198,0.00061536714,0.000303041,0.00027121228,0.00025765906,0.0005946026,0.00051978766,0.00051955786,0.0010946111],"category_scores_gemma":[0.0007853654,0.00015218995,0.00034233587,0.00022206524,0.00035690327,0.0006394211,0.0004897801,0.00051386905,0.00041403502],"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":[0.00043397644,0.00012700503,0.0025136482,0.00054391637,0.000098909346,0.00035856105,0.0002479596,0.43072638,0.20841475,0.051274434,0.0018793474,0.30338112],"study_design_scores_gemma":[0.000021016858,0.00028249156,0.0007775638,0.000050789862,0.000037761896,0.00039121296,0.000049794195,0.92612493,0.06001193,0.004967624,0.007259517,0.000025359343],"about_ca_topic_score_codex":0.0007101721,"about_ca_topic_score_gemma":0.001207578,"teacher_disagreement_score":0.0010946111,"about_ca_system_score_codex":0.00043333665,"about_ca_system_score_gemma":0.00034693163,"threshold_uncertainty_score":0.0036618114},"labels":[],"label_agreement":null},{"id":"W4413359271","doi":"10.1109/tvt.2025.3601032","title":"DT-DDNN: A Physical Layer Security Attack Detector in 5G RF Domain for CAVs","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Innovation for Defence Excellence and Security","keywords":"Physical layer; Detector; Radio frequency; Layer (electronics); Computer science; Electronic engineering; Electrical engineering; Materials science; Engineering; Wireless; Telecommunications; Nanotechnology","score_opus":0.00808622492806127,"score_gpt":0.24727680429970286,"score_spread":0.2391905793716416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413359271","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":[0.10028358,0.0011582711,0.8869285,0.0004905149,0.00035533577,0.00010344707,0.000324115,0.0037166828,0.0066395723],"genre_scores_gemma":[0.86122537,0.0005527968,0.12558088,0.000500548,0.000076749144,0.00008515147,0.000740525,0.00008453944,0.011153419],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999754,0.000024180801,0.000014475499,0.00006698549,0.00008589501,0.000054456745],"domain_scores_gemma":[0.99976987,0.000046845882,0.000034019016,0.00003034357,0.00009716955,0.000021887503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039013533,0.00077489245,0.0005046488,0.00046368674,0.00026516404,0.00051279087,0.001004211,0.00074913586,0.0014266607],"category_scores_gemma":[0.00091555266,0.00026672852,0.00038048654,0.00028434847,0.00031931134,0.00078819715,0.00080284633,0.0009965735,0.0007153848],"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":[0.0005725882,0.00033160424,0.0075428025,0.0002216308,0.00014879332,0.00033579,0.00009840192,0.21552825,0.07170652,0.006095926,0.011435573,0.6859821],"study_design_scores_gemma":[0.000008398089,0.00009281712,0.0008369079,0.0000128594165,0.00002184425,0.00009332625,0.000009870532,0.9827052,0.013927231,0.00079900323,0.0014803484,0.000012385617],"about_ca_topic_score_codex":0.0031880976,"about_ca_topic_score_gemma":0.004768087,"teacher_disagreement_score":0.0031880976,"about_ca_system_score_codex":0.0006703799,"about_ca_system_score_gemma":0.00062674144,"threshold_uncertainty_score":0.006339073},"labels":[],"label_agreement":null},{"id":"W4413472153","doi":"10.1109/tvt.2025.3601669","title":"Fair Admission for Air–Ground NOMA-Assisted Semi-Grant-Free Transmission","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Science Foundation of Anhui Province; Natural Science Foundation of Chongqing; Natural Science Foundation of Jiangxi Province; National Natural Science Foundation of China","keywords":"Noma; Transmission (telecommunications); Telecommunications; Computer science; Telecommunications link","score_opus":0.015804932463675904,"score_gpt":0.250102278066193,"score_spread":0.2342973456025171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413472153","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":[0.12853052,0.00038326925,0.86782587,0.00026940412,0.00021428113,0.00016974681,0.00007824548,0.0005043631,0.0020243712],"genre_scores_gemma":[0.97809875,0.000074835596,0.02088741,0.0000547522,0.00007643345,0.000050008533,0.000021770114,0.000013413944,0.0007226715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967822,0.00093108945,0.0001528283,0.00043665056,0.0008477601,0.0008495212],"domain_scores_gemma":[0.9927043,0.0034367484,0.00074981165,0.0011968525,0.0012679684,0.0006443415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037561238,0.0007616288,0.0012389225,0.0010696913,0.0022127156,0.0018439605,0.0025852409,0.0007682842,0.0015521167],"category_scores_gemma":[0.011933887,0.00033893922,0.0006715526,0.0010137222,0.00223444,0.002133506,0.003266299,0.0011911007,0.00021602603],"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":[0.0015207803,0.0004134721,0.005303966,0.00018011911,0.00015403907,0.0008003229,0.0013356885,0.6433503,0.047528364,0.15181431,0.0032404517,0.14435811],"study_design_scores_gemma":[0.000030298834,0.000067672125,0.0003144051,0.000004857064,0.000016041946,0.00007905541,0.00004274916,0.98600984,0.0023702187,0.0104160365,0.00061393133,0.000034873647],"about_ca_topic_score_codex":0.008044035,"about_ca_topic_score_gemma":0.0063618403,"teacher_disagreement_score":0.008044035,"about_ca_system_score_codex":0.0021693811,"about_ca_system_score_gemma":0.003464044,"threshold_uncertainty_score":0.0198645},"labels":[],"label_agreement":null},{"id":"W4413553514","doi":"10.1109/tvt.2025.3602016","title":"Attention-Based Deep Reinforcement Learning for Joint Trajectory Planning and Task Offloading in AAV-Assisted Vehicular Edge Computing","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Joint (building); Task (project management); Trajectory; Edge computing; Artificial intelligence; Enhanced Data Rates for GSM Evolution; Deep learning; Engineering; Systems engineering","score_opus":0.015266655725757463,"score_gpt":0.25018749356410835,"score_spread":0.23492083783835088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413553514","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":[0.09417565,0.0005716976,0.90016836,0.00052486046,0.000088037305,0.00004718944,0.000074904354,0.00067704817,0.0036721537],"genre_scores_gemma":[0.97301495,0.000097916876,0.024902243,0.00014931482,0.000024386107,0.000052461928,0.00007944651,0.000036863,0.0016424747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997243,0.000064513195,0.00001096042,0.000066268694,0.000045153243,0.00008873797],"domain_scores_gemma":[0.999374,0.00036570217,0.00005960583,0.00003100244,0.00010638035,0.0000633969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006140797,0.0006835639,0.0008872895,0.00028983515,0.0003420778,0.00060642324,0.001230969,0.000840798,0.0014645883],"category_scores_gemma":[0.0017518421,0.000443634,0.00037079572,0.00033016026,0.0006775684,0.00073788024,0.0009721891,0.0012463738,0.00019952889],"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":[0.00004684494,0.00004090727,0.0004817389,0.00002027681,0.000015179751,0.000033461652,0.000026813192,0.9791019,0.0005708041,0.0017385962,0.000516552,0.017406916],"study_design_scores_gemma":[0.0000020475695,0.0000052944442,0.00002200883,8.6172565e-7,0.0000012461159,0.0000014614129,0.0000019528134,0.9994098,0.000060353814,0.00045522532,0.00003887063,7.8843783e-7],"about_ca_topic_score_codex":0.016861316,"about_ca_topic_score_gemma":0.015400096,"teacher_disagreement_score":0.016861316,"about_ca_system_score_codex":0.0010488305,"about_ca_system_score_gemma":0.0017293387,"threshold_uncertainty_score":0.03352636},"labels":[],"label_agreement":null},{"id":"W4413947074","doi":"10.1109/tvt.2025.3605556","title":"Direct Learning Localization in the Presence of Multiple Access Interference","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed Sensor Networks and Detection 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":"University of Toronto","funders":"","keywords":"Interference (communication); Computer science; Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.012237637963063552,"score_gpt":0.2561756956508567,"score_spread":0.24393805768779314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413947074","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06209915,0.00023666027,0.9353766,0.00015692641,0.00003098058,0.00001907528,0.000021162854,0.0007272998,0.0013321094],"genre_scores_gemma":[0.9036888,0.00011086024,0.094762,0.00008041536,0.00004269183,0.00003367659,0.000065158754,0.00003586236,0.0011805417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915266,0.00028206524,0.00004033308,0.00017436665,0.00026191465,0.00008854888],"domain_scores_gemma":[0.994842,0.0034005423,0.000492969,0.0005059678,0.0006677501,0.000090670226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014890551,0.00048393395,0.00076577265,0.0005432211,0.00037843437,0.00060149847,0.00083114876,0.0006805362,0.0004906457],"category_scores_gemma":[0.010259466,0.0002789563,0.00025212686,0.0005243664,0.00085520855,0.001118199,0.0012870628,0.0007197768,0.0003076545],"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":[0.00024584847,0.00009106835,0.007777346,0.00009817693,0.000066124485,0.0003366754,0.00015006444,0.6988183,0.007480934,0.006314877,0.0011054263,0.2775152],"study_design_scores_gemma":[0.0000056147533,0.00003531638,0.0004323269,0.0000030232438,0.000005148836,0.00010377744,0.000010289578,0.9946754,0.0020462703,0.0024418226,0.00023605642,0.000004904491],"about_ca_topic_score_codex":0.0020219532,"about_ca_topic_score_gemma":0.0017147298,"teacher_disagreement_score":0.0020219532,"about_ca_system_score_codex":0.0005709874,"about_ca_system_score_gemma":0.00071084715,"threshold_uncertainty_score":0.007874966},"labels":[],"label_agreement":null},{"id":"W4414110834","doi":"10.1109/tvt.2025.3605977","title":"QoE-Aware User Allocation in NOMA-Enabled MEC Systems: A Distributed Game-Theoretical Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Beijing Nova Program; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Mobile edge computing; Nash equilibrium; Quality of service; Game theory; Enhanced Data Rates for GSM Evolution; Channel (broadcasting); Transmission (telecommunications); Multi-user; Frequency allocation; Channel allocation schemes; User equipment","score_opus":0.006209644592667893,"score_gpt":0.22124166943506954,"score_spread":0.21503202484240164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414110834","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":[0.027240632,0.00025491763,0.96622956,0.0004931819,0.00004270388,0.00013872827,0.000034191067,0.000048289614,0.0055178404],"genre_scores_gemma":[0.93418014,0.0004199152,0.062040064,0.00017461569,0.00005735175,0.00021820031,0.00002389117,0.00002563283,0.0028602853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986848,0.00073889206,0.000032978503,0.00015144932,0.00021341041,0.00017834747],"domain_scores_gemma":[0.9976432,0.0018324158,0.00014954244,0.000058243517,0.00020584337,0.00011081238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017902147,0.001123679,0.0011459084,0.0005942964,0.0007799367,0.0015379164,0.0016963595,0.0014693268,0.0016119513],"category_scores_gemma":[0.0048080706,0.0005198075,0.00056645065,0.00059384026,0.0020219407,0.0019015209,0.0015450602,0.0013459771,0.00014834032],"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":[0.00007539198,0.000072822666,0.00041684855,0.00006019372,0.00003459045,0.00012623688,0.0001012601,0.9371472,0.0016487505,0.052605685,0.0005195716,0.0071914913],"study_design_scores_gemma":[0.000009931886,0.000025462,0.00004683022,0.0000032948312,0.0000051669235,0.00002064455,0.000021774691,0.99052376,0.00014315106,0.008999368,0.00019547013,0.0000051294237],"about_ca_topic_score_codex":0.0045943977,"about_ca_topic_score_gemma":0.004047005,"teacher_disagreement_score":0.0045943977,"about_ca_system_score_codex":0.001985871,"about_ca_system_score_gemma":0.0016928028,"threshold_uncertainty_score":0.014408648},"labels":[],"label_agreement":null},{"id":"W4414117431","doi":"10.1109/tvt.2025.3608968","title":"Efficient Data Harvesting in Urban IoT Networks: DRL for RIS-UAV Communications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"Canadian Standards Association","funders":"James Watt School of Engineering, University of Glasgow","keywords":"Scalability; Wireless; Beamforming; Wireless sensor network; Efficient energy use; Data collection; Software deployment; Scheduling (production processes); Spectral efficiency","score_opus":0.030622247316081604,"score_gpt":0.28907455629279927,"score_spread":0.25845230897671767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414117431","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":[0.006723991,0.00034413193,0.9888427,0.000205373,0.00004101835,0.000025740133,0.000032346223,0.00019473404,0.0035899389],"genre_scores_gemma":[0.7781299,0.00072857336,0.21433884,0.00038787824,0.00009365435,0.00016062401,0.0002073438,0.000120427634,0.005832796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999741,0.000067419795,0.0000114561335,0.00005500334,0.00008121737,0.000043986773],"domain_scores_gemma":[0.9995857,0.00020649272,0.000051886847,0.000047818463,0.00008002062,0.00002805679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000518667,0.0005992102,0.0005729429,0.0002548346,0.00030130128,0.0007787933,0.00095699937,0.00059811724,0.0016252967],"category_scores_gemma":[0.001329429,0.00025878145,0.00042183482,0.00044079762,0.00057963934,0.0008779299,0.0011795155,0.00087869656,0.00055468554],"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":[0.00004728676,0.000042079257,0.0005450087,0.00010304667,0.000021100806,0.00010498433,0.00008224392,0.89204144,0.00730071,0.012949445,0.0021305492,0.0846321],"study_design_scores_gemma":[0.0000024009153,0.000016785876,0.00005244054,0.000005256559,0.0000025587753,0.000018423429,0.000015082493,0.99570686,0.0005703327,0.0028447655,0.00076154456,0.0000036437518],"about_ca_topic_score_codex":0.002081039,"about_ca_topic_score_gemma":0.0031392467,"teacher_disagreement_score":0.002081039,"about_ca_system_score_codex":0.00064253085,"about_ca_system_score_gemma":0.0007272381,"threshold_uncertainty_score":0.0054371953},"labels":[],"label_agreement":null},{"id":"W4414166076","doi":"10.1109/tvt.2025.3607963","title":"Distributed Observer-Based Formation-Fencing Control for Multi-Autonomous Aerial Vehicles","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed Control Multi-Agent Systems","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","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Trajectory; Parametric statistics; Fuzzy logic; Fuzzy control system; Observer (physics); Lyapunov function; Stability (learning theory); Adaptive control","score_opus":0.02038546218039392,"score_gpt":0.2557125089477604,"score_spread":0.23532704676736646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414166076","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":[0.032406602,0.00022890716,0.9654919,0.00009289648,0.000069547335,0.0000230308,0.000015537387,0.00017262332,0.001498893],"genre_scores_gemma":[0.9855036,0.00012577727,0.012940208,0.000026302845,0.000019353964,0.00004997366,0.000038835475,0.000009908142,0.0012859089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997044,0.00004838174,0.000015650312,0.00009227043,0.00009087197,0.00004837611],"domain_scores_gemma":[0.9995408,0.0001390809,0.000106290194,0.000037204845,0.000152005,0.00002456249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005727103,0.0005969754,0.00065834535,0.00025165567,0.00034540496,0.00070503727,0.0010331755,0.00067519874,0.0005537793],"category_scores_gemma":[0.0010405891,0.00024506554,0.00044293632,0.00022166355,0.0006453383,0.00058722077,0.0008160857,0.0007244218,0.00009206893],"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":[0.0001238311,0.000035896443,0.0007059442,0.00009612582,0.000043580378,0.00016927448,0.00016212564,0.9489646,0.010381064,0.005880387,0.000492505,0.032944586],"study_design_scores_gemma":[0.00001101387,0.000046311525,0.00009086217,0.000002597996,0.0000045025813,0.000008486341,0.000010026646,0.99827063,0.00079539017,0.0005333493,0.00022406164,0.0000027588926],"about_ca_topic_score_codex":0.0073782685,"about_ca_topic_score_gemma":0.0035383804,"teacher_disagreement_score":0.0073782685,"about_ca_system_score_codex":0.0005682007,"about_ca_system_score_gemma":0.00069890276,"threshold_uncertainty_score":0.01467067},"labels":[],"label_agreement":null},{"id":"W4414199276","doi":"10.1109/tvt.2025.3610283","title":"Joint Task Offloading, Resource Allocation, and Service Caching in Mobile Edge Computing via Soft Actor-Critic Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"University of Victoria","funders":"Natural Science Foundation of Hubei Province","keywords":"Mobile edge computing; Server; Edge computing; Cache; Markov decision process; Resource allocation; Enhanced Data Rates for GSM Evolution; Resource management (computing); Mobile computing; Edge device","score_opus":0.007035181413726656,"score_gpt":0.2296159892762682,"score_spread":0.22258080786254153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414199276","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":[0.033228356,0.0006498123,0.9606861,0.0006338477,0.000099679884,0.000048601134,0.00005110686,0.0003735455,0.004228964],"genre_scores_gemma":[0.95297855,0.00029077518,0.04224523,0.00034806645,0.0000683585,0.00013051658,0.00010009917,0.00006514527,0.0037732513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953747,0.00015980832,0.000022361279,0.00010252704,0.00007733481,0.000100449775],"domain_scores_gemma":[0.9982414,0.0012957203,0.00014435462,0.00004564845,0.00018643591,0.00008643598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011247842,0.0011600748,0.001448236,0.00033249523,0.00037299257,0.0012785553,0.0010964684,0.001343465,0.0016892988],"category_scores_gemma":[0.0025179246,0.000593889,0.0005640688,0.00046376613,0.0010532456,0.0007474031,0.0011003745,0.0016671013,0.00028169385],"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":[0.000057064448,0.00002157764,0.00032843582,0.000035529538,0.000021417132,0.00005420062,0.000020479003,0.99024385,0.00038704625,0.0019753124,0.00040065913,0.0064545157],"study_design_scores_gemma":[0.0000035471667,0.0000053785125,0.000016747315,0.0000020342486,0.0000022968131,0.000002426395,0.0000020932177,0.9993612,0.00005604619,0.0005040767,0.000042988377,0.0000011993532],"about_ca_topic_score_codex":0.009110249,"about_ca_topic_score_gemma":0.007894023,"teacher_disagreement_score":0.009110249,"about_ca_system_score_codex":0.00092015095,"about_ca_system_score_gemma":0.0014521609,"threshold_uncertainty_score":0.018114448},"labels":[],"label_agreement":null},{"id":"W4414230409","doi":"10.1109/tvt.2025.3610368","title":"Integrated Sensing, Communication, and Computing for Energy Efficient RIS-Aided Wireless Federated Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Efficient energy use; Wireless; Energy consumption; Wireless network; Energy (signal processing)","score_opus":0.012538278161148069,"score_gpt":0.25464369798641523,"score_spread":0.24210541982526715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414230409","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":[0.030293535,0.00023876749,0.965496,0.00024350185,0.00006624886,0.00003197902,0.00004570737,0.0005980245,0.0029861585],"genre_scores_gemma":[0.90164137,0.00011422809,0.095324434,0.00013480475,0.000028130937,0.00004161224,0.000071909235,0.000027919126,0.0026155347],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938893,0.00013932966,0.00002896098,0.00012521117,0.00019882213,0.00011873253],"domain_scores_gemma":[0.9994542,0.00018106717,0.00004050146,0.00016830831,0.00012166284,0.000034261477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007703798,0.00038372428,0.0006726278,0.00035823032,0.0005057344,0.0010290777,0.0012763902,0.0006409055,0.0016079695],"category_scores_gemma":[0.0016640628,0.00017758268,0.00029041353,0.0004899407,0.00050475146,0.0017824603,0.0019146092,0.0008589338,0.00044086867],"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":[0.0006092469,0.0007059291,0.0036307618,0.0001362309,0.00010896768,0.00020247788,0.00019802302,0.3730118,0.043137103,0.06559968,0.0055672023,0.50709254],"study_design_scores_gemma":[0.000007785054,0.000065453125,0.00025552284,0.0000070120063,0.000009201959,0.00007523255,0.00003585533,0.97021997,0.011149842,0.016682317,0.0014835963,0.000008300269],"about_ca_topic_score_codex":0.00088834733,"about_ca_topic_score_gemma":0.0021294502,"teacher_disagreement_score":0.0016079695,"about_ca_system_score_codex":0.00054271985,"about_ca_system_score_gemma":0.0010731729,"threshold_uncertainty_score":0.0053792596},"labels":[],"label_agreement":null},{"id":"W4414230418","doi":"10.1109/tvt.2025.3610454","title":"Two-Dimensional DPS-BEM Based Channel Estimation for MIMO OTFS Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Channel (broadcasting); Representation (politics); Basis (linear algebra); Reduction (mathematics); Computational complexity theory; Mean squared error; Scheme (mathematics)","score_opus":0.008725954904532197,"score_gpt":0.24096122068024678,"score_spread":0.23223526577571457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414230418","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":[0.008850455,0.00035915806,0.9894521,0.00007882627,0.000059418628,0.000027299418,0.000042126285,0.00020721741,0.0009234205],"genre_scores_gemma":[0.50368214,0.0011408357,0.49100056,0.00017460379,0.00015039548,0.00016653202,0.00022683143,0.000041626332,0.0034164952],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994578,0.00015428774,0.000024142719,0.00007054699,0.00023804273,0.00005510719],"domain_scores_gemma":[0.9994517,0.00020906063,0.000083281986,0.00010362713,0.0001293834,0.000022906741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040999186,0.00084756734,0.00069149665,0.0005724186,0.0003803277,0.0005183976,0.00063361163,0.0005978465,0.0010175718],"category_scores_gemma":[0.0017090866,0.0002960827,0.00040861062,0.0006162158,0.00046350225,0.0010522777,0.0008618552,0.0006937519,0.00046744052],"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":[0.00047095196,0.000105763844,0.0013722546,0.00035580745,0.00009924305,0.0003284392,0.00021180294,0.3689463,0.081847295,0.02666896,0.0027339174,0.51685923],"study_design_scores_gemma":[0.000011721028,0.00008032129,0.0002571681,0.00001404336,0.000010338328,0.00018750141,0.000024234616,0.9857554,0.009550113,0.0018784667,0.002207488,0.000023033623],"about_ca_topic_score_codex":0.0015196855,"about_ca_topic_score_gemma":0.0021743816,"teacher_disagreement_score":0.0015196855,"about_ca_system_score_codex":0.00031276667,"about_ca_system_score_gemma":0.0006880049,"threshold_uncertainty_score":0.0034041405},"labels":[],"label_agreement":null},{"id":"W4414230424","doi":"10.1109/tvt.2025.3609780","title":"H$^{3}$DRA: Achieving Resilient Task Scheduling for Zero-Interruption Vehicular Edge Computing in Sixth-Generation Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"Western University","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Scheduling (production processes); Network topology; Edge computing; Dynamic priority scheduling; Task (project management); Task analysis; Vehicular ad hoc network","score_opus":0.018556815124758482,"score_gpt":0.2729793571401934,"score_spread":0.2544225420154349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414230424","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":[0.036870614,0.00015739382,0.9550372,0.00035275446,0.00007122768,0.000054624605,0.00010427213,0.0011958365,0.006156205],"genre_scores_gemma":[0.8468451,0.00011972738,0.14859496,0.00018070538,0.000032386335,0.000085811764,0.00016728383,0.00010590873,0.0038680478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998267,0.0000360056,0.000008860096,0.000033827357,0.000044321612,0.000050249986],"domain_scores_gemma":[0.99980813,0.0000509499,0.000020854914,0.00004633139,0.000041640487,0.000032175223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036399066,0.00034189734,0.00026328376,0.00015940574,0.00032884753,0.00050021877,0.0008740486,0.00033226074,0.0034962893],"category_scores_gemma":[0.00081189064,0.00010878461,0.00021919384,0.00016350258,0.0003739434,0.0005207024,0.00084400637,0.0005824571,0.0006159352],"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":[0.00015537869,0.00007928341,0.00071340107,0.000058368452,0.00002565491,0.000075032396,0.00007707634,0.8117535,0.013342999,0.036573313,0.0074837906,0.12966217],"study_design_scores_gemma":[0.0000049279006,0.000015619193,0.00006136297,0.0000016743743,0.0000016872732,0.000007849479,0.0000049789473,0.9937604,0.0015215497,0.0035947224,0.0010225236,0.0000026650714],"about_ca_topic_score_codex":0.0054435823,"about_ca_topic_score_gemma":0.0061514876,"teacher_disagreement_score":0.0054435823,"about_ca_system_score_codex":0.00063601055,"about_ca_system_score_gemma":0.001255335,"threshold_uncertainty_score":0.011696279},"labels":[],"label_agreement":null},{"id":"W4414230435","doi":"10.1109/tvt.2025.3610120","title":"Multi-Attribute Combinatorial Double Auction for Resource Trading in Multi-Parking-Lot PVEC","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Education, Libya","keywords":"Combinatorial auction; Resource (disambiguation); Resource management (computing); Double auction; Resource allocation; Bidding; Game theory","score_opus":0.029933398430369653,"score_gpt":0.2916692072614449,"score_spread":0.2617358088310753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414230435","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":[0.06556663,0.00039132583,0.926688,0.00019078738,0.00012404687,0.00018221281,0.00018108885,0.0004722312,0.006203584],"genre_scores_gemma":[0.9397356,0.00010188102,0.056648146,0.00005460084,0.000032143544,0.00006994785,0.00013612451,0.000050755923,0.003170845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979284,0.00080709823,0.00010247665,0.00030926065,0.0004140161,0.00043885564],"domain_scores_gemma":[0.99853754,0.0006092636,0.000116967734,0.0002819499,0.00023923052,0.00021492332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022799107,0.0008795698,0.0027967507,0.0007187212,0.0008890298,0.0027779352,0.0028317838,0.0013635098,0.0047260136],"category_scores_gemma":[0.0028172198,0.0006275423,0.0012186163,0.0015912964,0.00066026434,0.0026933174,0.0017561587,0.0012738318,0.00045451304],"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":[0.0008924244,0.0004742406,0.0013894936,0.0002757361,0.0002044361,0.0005060388,0.00008945336,0.8525321,0.005109897,0.045744553,0.004604074,0.08817757],"study_design_scores_gemma":[0.000020225893,0.00006904695,0.00014695794,0.0000054241473,0.000015239927,0.00010724188,0.000019892464,0.98961836,0.00048685377,0.009004417,0.0004948874,0.000011425679],"about_ca_topic_score_codex":0.0015754873,"about_ca_topic_score_gemma":0.0017075862,"teacher_disagreement_score":0.0047260136,"about_ca_system_score_codex":0.0011263497,"about_ca_system_score_gemma":0.001508045,"threshold_uncertainty_score":0.015810132},"labels":[],"label_agreement":null},{"id":"W4414271595","doi":"10.1109/tvt.2025.3611289","title":"Incentive Mechanism Design in Federated Reinforcement Learning With Uniform and Non-Uniform Data Bounds","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Inner Mongolia; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Reinforcement learning; Incentive compatibility; Mechanism design; Incentive; Monotonic function; Payment; Rationality; Federated learning; Compatibility (geochemistry)","score_opus":0.0117192589458726,"score_gpt":0.23582946302488392,"score_spread":0.2241102040790113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414271595","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":[0.018456385,0.00016512984,0.97885954,0.00029300473,0.000042221483,0.00014257431,0.00005426156,0.0003143887,0.0016725314],"genre_scores_gemma":[0.81200063,0.0001562775,0.18382524,0.00024549232,0.000043479504,0.00041038744,0.000086280845,0.000073089344,0.003159154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949877,0.0021028048,0.0002845669,0.0011451816,0.00080994854,0.0006698154],"domain_scores_gemma":[0.9897656,0.0059197154,0.001135111,0.0011179817,0.0012645349,0.000797103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008613418,0.0012022834,0.0020875293,0.0007952876,0.0007588776,0.0019023808,0.00359945,0.0019780942,0.0037876554],"category_scores_gemma":[0.018928757,0.00082247565,0.0007997105,0.0008314914,0.0017670365,0.0032921268,0.0022475948,0.0028597182,0.0004779281],"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":[0.00035946295,0.0002588342,0.0013248014,0.00019607079,0.000080584716,0.00024409575,0.00020433939,0.843624,0.0021377152,0.09395215,0.0013837072,0.05623424],"study_design_scores_gemma":[0.000045254033,0.0000697906,0.00008565418,0.000013815106,0.000008621577,0.00003968108,0.000013935894,0.975181,0.00049411156,0.023487883,0.00055041205,0.000009844121],"about_ca_topic_score_codex":0.0022580526,"about_ca_topic_score_gemma":0.0015731263,"teacher_disagreement_score":0.008613418,"about_ca_system_score_codex":0.0021618395,"about_ca_system_score_gemma":0.0035125331,"threshold_uncertainty_score":0.04555267},"labels":[],"label_agreement":null},{"id":"W4414538970","doi":"10.1109/tvt.2025.3614719","title":"Aerial 6D Movable Antenna-Enabled Cell-Free Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","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":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Convergence (economics); Telecommunications link; Position (finance); Scalability; Antenna (radio); Rotation (mathematics); Scheme (mathematics); Antenna array; Channel (broadcasting)","score_opus":0.011039791738758551,"score_gpt":0.23534278835405975,"score_spread":0.2243029966153012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414538970","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":[0.06963695,0.000671799,0.9177892,0.00022080158,0.00013978433,0.000031560645,0.00012735558,0.00058564235,0.0107968915],"genre_scores_gemma":[0.9167421,0.00032788768,0.07844777,0.00014298462,0.000034486082,0.00006897082,0.00014543976,0.000021518057,0.0040687434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998312,0.00004451158,0.000005361183,0.000035741712,0.000048094036,0.000034966837],"domain_scores_gemma":[0.9998043,0.00005545517,0.00003470044,0.000044827408,0.000036505717,0.000024309516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015109566,0.0005543306,0.00040622984,0.00023166169,0.00031887903,0.0005093055,0.0008852792,0.000424883,0.0014033942],"category_scores_gemma":[0.00040426195,0.00016159787,0.00029005823,0.00032174774,0.00040814737,0.00081169955,0.0010223741,0.00050542504,0.0005034073],"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":[0.00016664904,0.000038067174,0.0009909102,0.000096626114,0.00006749618,0.00035835482,0.00013689403,0.83988595,0.029272057,0.028982416,0.0031617286,0.096842825],"study_design_scores_gemma":[0.0000109518805,0.00009619626,0.00017629213,0.000006593787,0.000014895026,0.00010174342,0.000029442188,0.98602027,0.003680307,0.005600803,0.0042515346,0.000010939063],"about_ca_topic_score_codex":0.0013009221,"about_ca_topic_score_gemma":0.0021499924,"teacher_disagreement_score":0.0014033942,"about_ca_system_score_codex":0.00038269008,"about_ca_system_score_gemma":0.00024843443,"threshold_uncertainty_score":0.0046948195},"labels":[],"label_agreement":null},{"id":"W4414798951","doi":"10.1109/tvt.2025.3617852","title":"Fast Near-Optimal Result Deduplication and Relocation in Collaborative and Distributed Edge Computing Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Data deduplication; Scalability; Cloud computing; Cache; Enhanced Data Rates for GSM Evolution; Edge computing; Bottleneck; Edge device; Computational complexity theory","score_opus":0.004664113417540564,"score_gpt":0.23091979467711118,"score_spread":0.22625568125957063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414798951","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":[0.06577928,0.00066957687,0.9302448,0.0002791478,0.000054623502,0.00009653181,0.00009789211,0.0004971746,0.0022809925],"genre_scores_gemma":[0.80106956,0.00031128948,0.1967557,0.0000894633,0.000026131871,0.00008347044,0.00013402267,0.00009082951,0.0014394971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868363,0.00043959718,0.00008047255,0.00025646907,0.0003053719,0.00023443259],"domain_scores_gemma":[0.9975439,0.0012874424,0.00026105565,0.0004080376,0.00036162988,0.00013792318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026230398,0.0006998665,0.0010975996,0.00054856995,0.0008865665,0.0014329037,0.0018896789,0.0006841818,0.00090375065],"category_scores_gemma":[0.0060515334,0.0004134298,0.00040946243,0.0009623083,0.0007880342,0.0017084903,0.0014968665,0.00082202087,0.00023396043],"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":[0.00022448531,0.00010241807,0.0007770503,0.00011165232,0.000023584724,0.0001463918,0.00013429007,0.9118136,0.005174586,0.014395223,0.0020588923,0.06503772],"study_design_scores_gemma":[0.000011336757,0.00003794983,0.0001227309,0.000004949933,0.0000054862917,0.000044120126,0.000046403326,0.9922942,0.0020930655,0.004777218,0.0005558552,0.0000067338156],"about_ca_topic_score_codex":0.0036912428,"about_ca_topic_score_gemma":0.003781207,"teacher_disagreement_score":0.0036912428,"about_ca_system_score_codex":0.0012742225,"about_ca_system_score_gemma":0.001570481,"threshold_uncertainty_score":0.013872087},"labels":[],"label_agreement":null},{"id":"W4415159109","doi":"10.1109/tvt.2025.3621248","title":"Information-Bearing RIS Assisted NOMA Communication for MEC Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Mobile edge computing; Transmitter; Computation; Reflection (computer programming); Enhanced Data Rates for GSM Evolution; Edge computing; Mobile telephony; Noma; Signal processing","score_opus":0.007594932622580129,"score_gpt":0.23250650347185003,"score_spread":0.2249115708492699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415159109","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059589073,0.00077835546,0.93093294,0.0002768617,0.00013783983,0.000034329933,0.000047175527,0.00034722761,0.007856139],"genre_scores_gemma":[0.91178834,0.00024359145,0.084679924,0.0001369456,0.000051760042,0.000048893016,0.00005202292,0.000015827405,0.0029827992],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978274,0.00006627244,0.0000072635385,0.000044293465,0.00005958439,0.000039800816],"domain_scores_gemma":[0.9997824,0.00008379775,0.000034506036,0.00003666695,0.00004664933,0.000016009028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020069526,0.00045901968,0.00033162464,0.00023041356,0.00035859813,0.00041736453,0.00060706574,0.00031963328,0.0007485599],"category_scores_gemma":[0.0005179533,0.00010962717,0.00016539062,0.00031904964,0.00030785517,0.00067902444,0.00063757604,0.00043447228,0.00025114944],"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":[0.00067238853,0.00014290497,0.002585704,0.00029074427,0.000081594575,0.0008320249,0.00033670364,0.34230676,0.13754195,0.04355892,0.005437538,0.46621287],"study_design_scores_gemma":[0.000014168887,0.00022423033,0.00050401717,0.000012857487,0.000023991004,0.000288627,0.00007495377,0.9754267,0.012752419,0.0059855487,0.004671049,0.000021460855],"about_ca_topic_score_codex":0.0006186465,"about_ca_topic_score_gemma":0.0020145252,"teacher_disagreement_score":0.0007485599,"about_ca_system_score_codex":0.00025029076,"about_ca_system_score_gemma":0.00025983938,"threshold_uncertainty_score":0.0025042295},"labels":[],"label_agreement":null},{"id":"W4415159186","doi":"10.1109/tvt.2025.3621156","title":"Null-Space Based Design With Learning for RIS-Aided Wireless Information and Power Transfer","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmark (surveying); Wireless; Maximum power transfer theorem; Benchmarking; Transmission (telecommunications); Data transmission; Channel (broadcasting); Optimization problem; Information transfer","score_opus":0.004776785030305363,"score_gpt":0.18836031442119205,"score_spread":0.18358352939088668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415159186","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048586233,0.000083873376,0.9922346,0.000060076545,0.000022312215,0.000019313537,0.00000847205,0.00016858816,0.0025440776],"genre_scores_gemma":[0.6279615,0.00025361447,0.36579064,0.0002195757,0.00004586808,0.00024626325,0.00006934684,0.00011963025,0.005293531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996105,0.000113622846,0.000016928407,0.000059193782,0.00016399541,0.00003586978],"domain_scores_gemma":[0.9995925,0.00015149954,0.00006881146,0.00005159071,0.00011151874,0.000024169887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060014473,0.0006392861,0.00046614482,0.00033939138,0.00024862992,0.0007437146,0.00088462245,0.00066777127,0.002255922],"category_scores_gemma":[0.0012318634,0.0002839264,0.0003985148,0.00032346856,0.0007580366,0.00082031963,0.00097250036,0.0008015002,0.0007664732],"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":[0.00014154897,0.00011533954,0.0006929936,0.00019178477,0.000053358486,0.0000959626,0.0001279181,0.7761824,0.03184337,0.040666,0.001724726,0.14816464],"study_design_scores_gemma":[0.0000064688925,0.00007212048,0.000045711116,0.0000047117746,0.000004546025,0.000022899401,0.000006284323,0.9921393,0.0029999162,0.0031093506,0.0015822157,0.000006539063],"about_ca_topic_score_codex":0.00046386538,"about_ca_topic_score_gemma":0.0006057621,"teacher_disagreement_score":0.002255922,"about_ca_system_score_codex":0.00049693463,"about_ca_system_score_gemma":0.0006111399,"threshold_uncertainty_score":0.0075467825},"labels":[],"label_agreement":null},{"id":"W4415366712","doi":"10.1109/tvt.2025.3623875","title":"A Vision-Based Covert Attack and Hybrid Adversary Detection for Autonomous Vehicles Using Generative Adversarial Network","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Ministère de la Défense Nationale; Innovation for Defence Excellence and Security","keywords":"Covert; Adversary; Adversarial system; Artificial neural network; Global Positioning System; Remotely operated underwater vehicle; Battlefield","score_opus":0.013676279381555315,"score_gpt":0.2828904057170907,"score_spread":0.2692141263355354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415366712","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":[0.058906242,0.00030148446,0.93736595,0.0003030191,0.00007935936,0.000056986504,0.000030112742,0.00041054277,0.0025463093],"genre_scores_gemma":[0.9663738,0.00013416832,0.03154007,0.000108554945,0.00002902468,0.0000389994,0.000039668594,0.000021415566,0.0017143011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990508,0.00021988497,0.000029809347,0.00023321804,0.00031078112,0.00015555508],"domain_scores_gemma":[0.9988165,0.00056225463,0.00018251318,0.00016474545,0.00019471868,0.00007932492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085277954,0.0008944771,0.0006683993,0.0005820298,0.00042608439,0.00066443364,0.00099384,0.0010352604,0.00080637477],"category_scores_gemma":[0.0021433972,0.00032532198,0.00094241847,0.00027535367,0.0012277091,0.0014418879,0.0017079487,0.0011129545,0.00015768806],"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":[0.00019287349,0.00007521536,0.00224195,0.00006692881,0.00012380982,0.00030859667,0.0001332682,0.8855846,0.017357321,0.019213162,0.001013926,0.07368839],"study_design_scores_gemma":[0.0000024287997,0.00003843099,0.00015123148,0.0000019651864,0.0000064317114,0.000046256508,0.0000053115114,0.99594337,0.0021309643,0.0014932089,0.00017463817,0.0000057161856],"about_ca_topic_score_codex":0.0020472675,"about_ca_topic_score_gemma":0.0013004408,"teacher_disagreement_score":0.0020472675,"about_ca_system_score_codex":0.0009308135,"about_ca_system_score_gemma":0.00067805994,"threshold_uncertainty_score":0.006753564},"labels":[],"label_agreement":null},{"id":"W4415481268","doi":"10.1109/tvt.2025.3624720","title":"Beyond the Attack: Strategies for Attack Endgame Mitigation in VANETs","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chess endgame; Resilience (materials science); Blacklist; Vehicular ad hoc network; Wireless ad hoc network; Backup; Cluster analysis; Mobile ad hoc network","score_opus":0.010782021227787182,"score_gpt":0.25876484700575236,"score_spread":0.24798282577796518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415481268","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19464374,0.0040703225,0.7664518,0.0022022314,0.0005640005,0.00071798195,0.00054186664,0.0028441253,0.027963834],"genre_scores_gemma":[0.92668575,0.0011142871,0.066526316,0.00036523156,0.00007375024,0.00016314248,0.00058413536,0.00007844393,0.004408818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991103,0.0003197893,0.00005159007,0.00015049742,0.00020196846,0.00016588741],"domain_scores_gemma":[0.9990134,0.00030868562,0.00016353132,0.0002044715,0.00021245476,0.000097470285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011641424,0.001549754,0.0006975118,0.0011297474,0.0005683944,0.001322688,0.0014931756,0.0009241209,0.0011826324],"category_scores_gemma":[0.0031482454,0.0002790454,0.00068576355,0.00040773282,0.0009281664,0.0022324454,0.0019510429,0.0014035692,0.000587809],"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":[0.0007488149,0.0005816526,0.018942019,0.0006916449,0.00034891974,0.0005013326,0.00066699745,0.45518678,0.022548338,0.037294492,0.008867524,0.45362148],"study_design_scores_gemma":[0.000042165364,0.0008105762,0.0055058766,0.0001425359,0.00016667647,0.00046992343,0.00085473625,0.9392073,0.012849002,0.023287525,0.016568184,0.0000955037],"about_ca_topic_score_codex":0.0038946485,"about_ca_topic_score_gemma":0.007374836,"teacher_disagreement_score":0.0038946485,"about_ca_system_score_codex":0.0005838903,"about_ca_system_score_gemma":0.0008813415,"threshold_uncertainty_score":0.0077439547},"labels":[],"label_agreement":null},{"id":"W4415821274","doi":"10.1109/tvt.2025.3628051","title":"Hybrid Resource Allocation Strategies for Efficient Task Offloading in Vehicular Edge Computing","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"Carleton University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Software deployment; Resource allocation; Enhanced Data Rates for GSM Evolution; Scalability; Asynchronous communication; Mobile edge computing; Edge computing; Resource management (computing); Task (project management); Node (physics)","score_opus":0.011256457835133186,"score_gpt":0.2508238106342503,"score_spread":0.23956735279911712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415821274","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":[0.03742119,0.0005601956,0.95632213,0.00019420237,0.00007458547,0.000049512648,0.00003666014,0.00025154382,0.00508999],"genre_scores_gemma":[0.9542256,0.00023003598,0.043549262,0.000090959955,0.000032483782,0.00007163693,0.000044498967,0.000045434004,0.0017100743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999617,0.00010485249,0.000018498864,0.00008009772,0.000064115586,0.00011551684],"domain_scores_gemma":[0.9996345,0.00017896673,0.000038360762,0.000033540186,0.00007016182,0.00004437763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054453703,0.00093042466,0.0008169354,0.00037486834,0.0005101169,0.00084548513,0.0011390342,0.00054967013,0.0013180709],"category_scores_gemma":[0.0012196591,0.00030617506,0.00031151087,0.0004608086,0.0005328209,0.00087834237,0.00096927484,0.0005910495,0.00026866235],"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":[0.000112399044,0.000056174846,0.00038604817,0.00006538045,0.000028508915,0.00010114182,0.000063413645,0.9460041,0.004291871,0.010085124,0.0016240933,0.03718181],"study_design_scores_gemma":[0.0000037315235,0.000014800013,0.0000497084,0.000002399315,0.0000037957705,0.000010909651,0.000013348681,0.9975364,0.0003630024,0.001723658,0.00027544357,0.000002889868],"about_ca_topic_score_codex":0.0033194923,"about_ca_topic_score_gemma":0.00466309,"teacher_disagreement_score":0.0033194923,"about_ca_system_score_codex":0.000525791,"about_ca_system_score_gemma":0.0008773566,"threshold_uncertainty_score":0.00660038},"labels":[],"label_agreement":null},{"id":"W4416011267","doi":"10.1109/tvt.2025.3630556","title":"Real-Time Tracking in a Status Update System With an Imperfect Feedback Channel","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","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":"Engineering Link (Canada)","funders":"Vetenskapsrådet","keywords":"Markov decision process; Partially observable Markov decision process; Markov process; Control theory (sociology); Observable; Channel (broadcasting); Markov chain; Optimization problem; Regularization (linguistics); State space","score_opus":0.00591744649366006,"score_gpt":0.2260980382219386,"score_spread":0.22018059172827856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416011267","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":[0.13422339,0.00031685072,0.8600368,0.0006905091,0.00007999667,0.00006497434,0.000121861405,0.00064377225,0.0038217285],"genre_scores_gemma":[0.98184425,0.000096163756,0.016053645,0.000057562636,0.000021353639,0.000050497063,0.000051813167,0.000021077727,0.0018036158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921846,0.0001793829,0.00003983074,0.00025778572,0.00015496621,0.00014954348],"domain_scores_gemma":[0.996761,0.0020227341,0.0005388335,0.00018781461,0.0003074517,0.00018220463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016545831,0.0007401074,0.0011236623,0.00041009882,0.00066538074,0.0016537264,0.0012983895,0.0013034367,0.0020331463],"category_scores_gemma":[0.004758367,0.0005369434,0.0004352406,0.0005267082,0.0011948944,0.0019662795,0.0013577705,0.0011522664,0.0002763428],"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":[0.00017291066,0.000035407927,0.0006799396,0.000038111586,0.000021553573,0.00014597033,0.00010494345,0.9755052,0.0017050867,0.00959281,0.00036759162,0.011630503],"study_design_scores_gemma":[0.000008789241,0.000017059478,0.00011385873,0.0000020236628,0.0000046266164,0.000011972067,0.000007870343,0.9975284,0.00021710382,0.0019747056,0.00010821428,0.000005479163],"about_ca_topic_score_codex":0.008291528,"about_ca_topic_score_gemma":0.0044928207,"teacher_disagreement_score":0.008291528,"about_ca_system_score_codex":0.0012639427,"about_ca_system_score_gemma":0.0012314405,"threshold_uncertainty_score":0.016486585},"labels":[],"label_agreement":null},{"id":"W4416011293","doi":"10.1109/tvt.2025.3630510","title":"Device Association and Coverage in STAR-RIS Assisted RSMA Communication Networks","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmark (surveying); Key (lock); Association (psychology); Base station; Coverage probability; Communications system; Point (geometry)","score_opus":0.00829531375429728,"score_gpt":0.2405763138636967,"score_spread":0.23228100010939942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416011293","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":[0.11420199,0.00062377146,0.8810815,0.000099667785,0.000023889217,0.000034323133,0.000023664372,0.00022550841,0.0036856255],"genre_scores_gemma":[0.9691104,0.00033262707,0.029107112,0.000037885013,0.00003110339,0.00004557801,0.000028120265,0.00001943099,0.001287813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998256,0.00053339644,0.00005310127,0.00027199558,0.0006764932,0.00020893224],"domain_scores_gemma":[0.99710196,0.0018372708,0.00038811078,0.00025341075,0.00033275576,0.00008655505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010523034,0.0005699359,0.0006518383,0.0006824122,0.0005751503,0.0009954282,0.001020797,0.00070077623,0.0006449524],"category_scores_gemma":[0.0049833073,0.00043497805,0.0003726764,0.0007318838,0.0010314559,0.0013589317,0.0012502641,0.00047960985,0.0003132238],"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":[0.00037656986,0.00007296417,0.004791144,0.0001410191,0.000081388716,0.0005306467,0.00051056186,0.81625813,0.023576625,0.068138435,0.000671181,0.084851265],"study_design_scores_gemma":[0.000009205384,0.00012185335,0.000954915,0.00000841885,0.000026874779,0.0002746631,0.000050618703,0.9850358,0.004752785,0.007787549,0.00096021476,0.000017102047],"about_ca_topic_score_codex":0.0011821819,"about_ca_topic_score_gemma":0.0010793925,"teacher_disagreement_score":0.0011821819,"about_ca_system_score_codex":0.000612858,"about_ca_system_score_gemma":0.0006059004,"threshold_uncertainty_score":0.0055651665},"labels":[],"label_agreement":null},{"id":"W4416213785","doi":"10.1109/tvt.2025.3632691","title":"A Novel Simplified RIS-Assisted Hybrid Transceiver Scheme for mmWave MIMO Systems","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Transceiver; Precoding; Robustness (evolution); Spectral efficiency; Base station; MIMO; Matrix (chemical analysis); Computational complexity theory","score_opus":0.020407189107959113,"score_gpt":0.26304626720924945,"score_spread":0.24263907810129035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416213785","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":[0.023406545,0.000150978,0.9699459,0.00009831712,0.00005039658,0.00003788829,0.000056996025,0.00036207587,0.0058909147],"genre_scores_gemma":[0.6707636,0.00023186559,0.32174534,0.00019163478,0.00007577217,0.00010966922,0.00014732998,0.000036078432,0.0066986564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997433,0.00006659268,0.000012870143,0.000038248356,0.00010875191,0.000030235336],"domain_scores_gemma":[0.9997968,0.000051610998,0.000040724375,0.000048100133,0.00004783609,0.000014919154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026133927,0.00051633135,0.00031386263,0.0001881419,0.00023096608,0.00048720278,0.00071545265,0.00041950692,0.0023461261],"category_scores_gemma":[0.00040116694,0.0002009486,0.00033722757,0.00029746883,0.00032659175,0.0006371964,0.00055451744,0.00043276825,0.00081775355],"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":[0.00028670317,0.00013363235,0.001140927,0.0002794209,0.00012365596,0.00034135053,0.00023723603,0.45033684,0.24895576,0.07757186,0.0040418045,0.21655074],"study_design_scores_gemma":[0.000026209875,0.00032378535,0.00022165499,0.00001167342,0.000023167617,0.0001848251,0.000020073416,0.96975034,0.021350697,0.0032988032,0.0047624195,0.00002636279],"about_ca_topic_score_codex":0.00033350984,"about_ca_topic_score_gemma":0.0008121735,"teacher_disagreement_score":0.0023461261,"about_ca_system_score_codex":0.00024034362,"about_ca_system_score_gemma":0.00036717873,"threshold_uncertainty_score":0.007848561},"labels":[],"label_agreement":null},{"id":"W4416286516","doi":"10.1109/tvt.2025.3633255","title":"Rewardless Reinforcement Learning Method for Cooperative Sensing Optimization in Connected and Autonomous Vehicles","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Adaptability; Reliability (semiconductor); Inference; Latency (audio); Process (computing); Metric (unit); Low latency (capital markets); Task analysis","score_opus":0.007403268123366327,"score_gpt":0.2465739285907758,"score_spread":0.23917066046740945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416286516","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":[0.020123454,0.0002456047,0.97680014,0.00020999913,0.000047986854,0.000047721704,0.000023644556,0.00026361778,0.0022378766],"genre_scores_gemma":[0.93782234,0.00012043689,0.059005983,0.00013880551,0.000038655664,0.00014851872,0.00004969055,0.0000465679,0.0026288556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994646,0.00018530941,0.000024825922,0.00011969165,0.00010314819,0.00010244156],"domain_scores_gemma":[0.9984199,0.0010277972,0.00017337386,0.00005816437,0.00022731414,0.00009347299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013810148,0.0009333076,0.001229705,0.00045505667,0.00041456483,0.00069824804,0.0013255664,0.0009976494,0.001705509],"category_scores_gemma":[0.0032421427,0.00042688384,0.00051776256,0.00035287903,0.00093839364,0.00067997025,0.0010693703,0.0012798358,0.0002461291],"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":[0.000047917445,0.000032597833,0.00038977066,0.000030592706,0.000023382447,0.00005642056,0.000044487806,0.9799784,0.00063370215,0.0048714527,0.00038624817,0.013505076],"study_design_scores_gemma":[0.0000044891854,0.0000122154215,0.000018772615,0.0000016409384,0.0000018518667,0.0000027335323,0.0000022730912,0.9988636,0.0000525923,0.00097489083,0.00006358372,0.0000013766656],"about_ca_topic_score_codex":0.007292118,"about_ca_topic_score_gemma":0.0050970176,"teacher_disagreement_score":0.007292118,"about_ca_system_score_codex":0.0009865321,"about_ca_system_score_gemma":0.001335247,"threshold_uncertainty_score":0.014499366},"labels":[],"label_agreement":null},{"id":"W4416366480","doi":"10.1109/tvt.2025.3634987","title":"A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Qatar National Research Fund","keywords":"Stackelberg competition; Resource allocation; Resource management (computing); Markov decision process; Incentive; Resource (disambiguation); Latency (audio); Vehicular ad hoc network","score_opus":0.014061120578451174,"score_gpt":0.25624854462867,"score_spread":0.24218742405021884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416366480","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":[0.01574206,0.0002582164,0.9788947,0.00035062982,0.00005870312,0.00005445231,0.00006315103,0.00041235684,0.004165753],"genre_scores_gemma":[0.84194046,0.00020531949,0.15159313,0.0003097445,0.000032911794,0.000193545,0.00015130908,0.00011643623,0.0054571466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996208,0.00008572007,0.000016290385,0.00008928587,0.00008250784,0.00010543709],"domain_scores_gemma":[0.9994424,0.00022500707,0.000068369176,0.000032582986,0.00014070356,0.0000909612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009355601,0.00097066566,0.0011099026,0.00042115356,0.00056101254,0.0012621966,0.002134562,0.0012736382,0.0031633887],"category_scores_gemma":[0.001701222,0.00061003276,0.00066752976,0.00037980414,0.0009295434,0.0011442134,0.0018724139,0.00150685,0.00039567004],"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":[0.000019767318,0.000016548755,0.0002361516,0.000022834689,0.000011000658,0.00005197416,0.00002224505,0.98460674,0.00044033342,0.0073352386,0.00047064875,0.006766592],"study_design_scores_gemma":[0.000003103075,0.000004814789,0.000010890361,0.0000015001011,0.0000016496502,0.0000032324592,0.0000039802226,0.99879336,0.000057590893,0.0009921103,0.00012638578,0.0000013109432],"about_ca_topic_score_codex":0.017900001,"about_ca_topic_score_gemma":0.018896716,"teacher_disagreement_score":0.017900001,"about_ca_system_score_codex":0.001797249,"about_ca_system_score_gemma":0.0029915003,"threshold_uncertainty_score":0.035591602},"labels":[],"label_agreement":null},{"id":"W4416650129","doi":"10.1109/tvt.2025.3636810","title":"Performance Insights Into Neural Estimation in mm-Wave Systems","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Machine Learning and ELM","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":"Lakehead University","funders":"","keywords":"Artificial neural network; Focus (optics); Mean squared error; Work (physics); Estimation; Range (aeronautics); Extreme learning machine; Wireless","score_opus":0.008608558103465799,"score_gpt":0.23640213425735013,"score_spread":0.22779357615388432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416650129","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":[0.05893876,0.0008756013,0.93030876,0.00072104577,0.0000599122,0.000024169418,0.00006338517,0.00024482404,0.008763494],"genre_scores_gemma":[0.9582735,0.00071181153,0.03804696,0.0001481845,0.00007074279,0.000032907235,0.00006550305,0.000035754754,0.0026147265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994796,0.00019066459,0.000022150734,0.00008290955,0.00016244533,0.00006224331],"domain_scores_gemma":[0.99824286,0.0011657319,0.00016527997,0.00010492947,0.0002925594,0.000028704075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012253778,0.0005759699,0.00044979667,0.00034244818,0.0002796321,0.0009554378,0.00057436613,0.0008241546,0.0015309185],"category_scores_gemma":[0.0063625965,0.00021586976,0.00019894341,0.00033953527,0.0005734133,0.0014793102,0.0009360121,0.0008842128,0.00031075682],"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":[0.000072155985,0.00002459793,0.0012997664,0.00007647022,0.000019709143,0.000069168214,0.00006943722,0.9389312,0.0027688919,0.019673025,0.00049391703,0.03650154],"study_design_scores_gemma":[0.0000011313783,0.000015699838,0.00019229452,0.0000055817063,0.0000018124067,0.00001648698,0.000007236772,0.9961099,0.0005541754,0.002942437,0.00015016226,0.0000031309369],"about_ca_topic_score_codex":0.00188852,"about_ca_topic_score_gemma":0.0011990584,"teacher_disagreement_score":0.00188852,"about_ca_system_score_codex":0.00058115646,"about_ca_system_score_gemma":0.0004271822,"threshold_uncertainty_score":0.006480515},"labels":[],"label_agreement":null},{"id":"W4416707586","doi":"10.1109/tvt.2025.3637245","title":"Self-Refined Generative Foundation Models for Wireless Traffic Prediction","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic Prediction and Management Techniques","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":"Concordia University; McGill University","funders":"","keywords":"Scalability; Wireless; Wireless network; Generative grammar; Scheme (mathematics); Traffic generation model; Range (aeronautics); Deep learning","score_opus":0.00970055034769185,"score_gpt":0.22918234643104415,"score_spread":0.2194817960833523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416707586","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":[0.04731962,0.00069168303,0.9465505,0.0005452564,0.00008300888,0.0000479041,0.00045095073,0.0021878534,0.0021232457],"genre_scores_gemma":[0.87821496,0.00051176624,0.11571779,0.00039542606,0.00009351704,0.00021493489,0.0010334059,0.00025447103,0.003563771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934274,0.00022447499,0.000033723387,0.00019210181,0.00012727438,0.00007975732],"domain_scores_gemma":[0.99782383,0.0014950357,0.00014963886,0.00021142206,0.00024844607,0.000071580784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010738295,0.0010835687,0.00091410574,0.0008679503,0.0004557282,0.0009774561,0.002130862,0.0011010672,0.0021686761],"category_scores_gemma":[0.005582842,0.00064671435,0.0012897139,0.0006637318,0.00088003627,0.0021318295,0.0014801705,0.0022986226,0.00071155606],"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":[0.00010807584,0.00006716465,0.0023274769,0.00009250159,0.00006192096,0.00013956978,0.00022054199,0.91995937,0.0026710138,0.015978737,0.0018612854,0.056512337],"study_design_scores_gemma":[0.0000026917498,0.0000073695833,0.00005517392,0.000003444321,0.0000037594587,0.000007739493,0.000004632392,0.9959259,0.00020302589,0.0036123295,0.00017043033,0.0000033936974],"about_ca_topic_score_codex":0.01028105,"about_ca_topic_score_gemma":0.01347194,"teacher_disagreement_score":0.01028105,"about_ca_system_score_codex":0.0011441436,"about_ca_system_score_gemma":0.0009722844,"threshold_uncertainty_score":0.020442426},"labels":[],"label_agreement":null},{"id":"W4416750121","doi":"10.1109/tvt.2025.3638259","title":"Safe and Sustainable Electric Bus Charging Scheduling With Constrained Hierarchical DRL","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ethica (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lagrangian relaxation; Markov decision process; Scheduling (production processes); Reinforcement learning; Minification; Photovoltaic system; Charging station; Renewable energy; Electricity; Job shop scheduling","score_opus":0.0025453045340165605,"score_gpt":0.1926595409593658,"score_spread":0.19011423642534925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416750121","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":[0.03425683,0.0002792305,0.9601407,0.00035439082,0.000040207255,0.000051315532,0.000093649476,0.00073183683,0.0040519354],"genre_scores_gemma":[0.9274944,0.00010191117,0.06980646,0.00019493385,0.000021054822,0.000073772935,0.0001410187,0.00008167485,0.002084866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961686,0.00011295103,0.000014533125,0.000092540635,0.000081631006,0.000081490994],"domain_scores_gemma":[0.999169,0.00044088424,0.00012442803,0.00006807582,0.00011774792,0.000079759506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007826012,0.00068437937,0.00076900964,0.0002600493,0.00031931652,0.00069477013,0.00096639013,0.0007327121,0.00208639],"category_scores_gemma":[0.0023079847,0.00047327855,0.00045823536,0.0002746125,0.0006844068,0.00081296876,0.0011114145,0.0013830212,0.00035965315],"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":[0.000028234488,0.00002063413,0.0003652057,0.000023591676,0.00000961786,0.000028794522,0.00002213926,0.98370695,0.00046330332,0.0023356106,0.0004742208,0.012521657],"study_design_scores_gemma":[0.0000043017935,0.00000631706,0.000030782678,0.0000016892219,0.0000012752374,0.0000028031786,0.0000029185883,0.9987459,0.000093206865,0.0010012081,0.00010832942,0.0000011333051],"about_ca_topic_score_codex":0.009770017,"about_ca_topic_score_gemma":0.011252823,"teacher_disagreement_score":0.009770017,"about_ca_system_score_codex":0.0009222624,"about_ca_system_score_gemma":0.0019366947,"threshold_uncertainty_score":0.019426286},"labels":[],"label_agreement":null},{"id":"W4416798297","doi":"10.1109/tvt.2025.3638365","title":"Multi-Block ADMM for Efficient Model Pruning and Link Scheduling in Decentralized Learning","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Privacy-Preserving Technologies in Data","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":"University of Waterloo","funders":"","keywords":"Scheduling (production processes); Pruning; Consistency (knowledge bases); Job shop scheduling; Convergence (economics); Data modeling; Multicast","score_opus":0.02620495145216118,"score_gpt":0.2922477044338427,"score_spread":0.2660427529816815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416798297","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":[0.0030928294,0.00007725163,0.9961133,0.00006813234,0.00001517493,0.000015632613,0.000019710375,0.000170573,0.00042737153],"genre_scores_gemma":[0.5393056,0.0002312903,0.45691717,0.00024270844,0.00010890438,0.00028427105,0.00031676347,0.00015110029,0.0024420973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991731,0.00031353015,0.000036663343,0.00016551717,0.00022677991,0.000084346706],"domain_scores_gemma":[0.998456,0.00081667455,0.0001716759,0.00024889928,0.0002384168,0.00006840496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019605078,0.0009096933,0.0013577983,0.00041573783,0.0006598721,0.00079775555,0.0017256046,0.00095776515,0.0017788386],"category_scores_gemma":[0.0040865345,0.0005665003,0.0005054657,0.00074073044,0.00078547804,0.001613631,0.0013866185,0.0022267892,0.00044879454],"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":[0.00005515594,0.00004545865,0.00022661882,0.00006211808,0.000024750043,0.00003731948,0.000039802417,0.9456579,0.0013140199,0.011567324,0.001201533,0.039767943],"study_design_scores_gemma":[0.0000060687203,0.000009053895,0.000016855498,0.0000015993332,0.0000017349212,0.000004223132,0.0000022048268,0.99699354,0.0001911005,0.0025908558,0.00018134335,0.0000013681454],"about_ca_topic_score_codex":0.0030707156,"about_ca_topic_score_gemma":0.00480433,"teacher_disagreement_score":0.0030707156,"about_ca_system_score_codex":0.0008210642,"about_ca_system_score_gemma":0.0020868715,"threshold_uncertainty_score":0.010368228},"labels":[],"label_agreement":null},{"id":"W4416798312","doi":"10.1109/tvt.2025.3638613","title":"Toward Reliable Wireless BMS: Robust Battery State Estimation Under Noise and Uncertainty","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"H2020 Marie Skłodowska-Curie Actions; HORIZON EUROPE Framework Programme; European Commission; Jaguar Land Rover","keywords":"Wireless; Kalman filter; Reliability (semiconductor); Noise (video); Battery (electricity); Transmission (telecommunications); Noise measurement; Network packet; Estimation theory; Noise reduction","score_opus":0.014094426778688947,"score_gpt":0.24768388871632613,"score_spread":0.2335894619376372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416798312","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":[0.017938195,0.00015171914,0.9804222,0.00014650909,0.000015479338,0.000020678432,0.000040684106,0.00048477534,0.0007798167],"genre_scores_gemma":[0.8326748,0.0004102209,0.16502859,0.00009754943,0.000042498006,0.00010214623,0.00017636482,0.00009587701,0.0013719846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995956,0.0001029617,0.000020435029,0.000078539095,0.00017696425,0.000025562747],"domain_scores_gemma":[0.9993716,0.00026058592,0.00010565466,0.000093264374,0.00015483896,0.000014061811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006073172,0.00077696383,0.0004882947,0.00040319128,0.00023922567,0.00069484225,0.00071206316,0.0006769964,0.0006336119],"category_scores_gemma":[0.0029646577,0.00026450932,0.0002823241,0.00046653155,0.00047088767,0.0011964052,0.0007811263,0.0005536566,0.00044080772],"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":[0.00019176878,0.00004795326,0.0024646977,0.00015979818,0.000052633815,0.0001166182,0.00012804095,0.78702366,0.04258723,0.008423214,0.0011983967,0.15760604],"study_design_scores_gemma":[0.000006960119,0.000042666972,0.00039573447,0.000011106383,0.0000066672774,0.000031676274,0.00001530614,0.98679084,0.008025597,0.0037896282,0.00087391125,0.000009985725],"about_ca_topic_score_codex":0.002022491,"about_ca_topic_score_gemma":0.0016919796,"teacher_disagreement_score":0.002022491,"about_ca_system_score_codex":0.00032537224,"about_ca_system_score_gemma":0.0005467007,"threshold_uncertainty_score":0.004021466},"labels":[],"label_agreement":null},{"id":"W4416798328","doi":"10.1109/tvt.2025.3638656","title":"Energy Harvesting Aided PASTAR-RIS-Empowered NOMA System in the Presence of Impulsive Noise","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Science and Engineering Research Board","keywords":"Energy harvesting; Interference (communication); Node (physics); Power domains; Telecommunications link; Wireless; Noise (video); Energy (signal processing); Single antenna interference cancellation","score_opus":0.007889974749948066,"score_gpt":0.23191338495623834,"score_spread":0.22402341020629027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416798328","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":[0.6045328,0.0009091512,0.37450805,0.0009163303,0.00024932562,0.000070789945,0.0001844708,0.000767608,0.017861553],"genre_scores_gemma":[0.9904171,0.0001244666,0.00683848,0.00005844903,0.000016478982,0.000017251652,0.000032681204,0.000006569668,0.002488524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979275,0.000057285768,0.000010378994,0.000045610563,0.000043915566,0.000050184684],"domain_scores_gemma":[0.9997079,0.00012695036,0.000044909943,0.00003419052,0.000060055238,0.00002600765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029845882,0.0004192073,0.0006422636,0.00014255822,0.00061345403,0.0007005195,0.0005705696,0.00053779,0.0010322615],"category_scores_gemma":[0.00054045697,0.00014681157,0.0002330676,0.0002610947,0.00039868086,0.0004623708,0.0006383118,0.000410353,0.00036031532],"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":[0.001768311,0.00020681054,0.012810971,0.00041162228,0.00022144872,0.0068033943,0.0009998025,0.59722984,0.23002487,0.019030029,0.004061811,0.126431],"study_design_scores_gemma":[0.000023639572,0.00023880633,0.0011849453,0.0000122342135,0.000060405382,0.00047068647,0.00019705536,0.9826434,0.011868454,0.002026758,0.0012518531,0.00002174007],"about_ca_topic_score_codex":0.001088893,"about_ca_topic_score_gemma":0.0027039524,"teacher_disagreement_score":0.001088893,"about_ca_system_score_codex":0.00022520732,"about_ca_system_score_gemma":0.0003999088,"threshold_uncertainty_score":0.0034532547},"labels":[],"label_agreement":null},{"id":"W4417131258","doi":"10.1109/tvt.2025.3641304","title":"Multi-UAV Enabled Integrated Sensing and Wireless Powered Communication: A Robust Multi-Objective Approach","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Radar Systems and Signal Processing","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":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Wireless; Radar; Communications system; Energy (signal processing); Wireless network; Transmitter power output","score_opus":0.014355766398367227,"score_gpt":0.22836116620649846,"score_spread":0.21400539980813124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417131258","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":[0.007643839,0.00032969916,0.98959494,0.00015751096,0.000022133634,0.000032463675,0.000027580136,0.000072671326,0.0021191637],"genre_scores_gemma":[0.700222,0.00065319194,0.29428858,0.00019746438,0.00008687889,0.00034747313,0.00011385988,0.00009202593,0.0039984155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994717,0.00024235874,0.000017862345,0.00009009525,0.00012230352,0.00005577314],"domain_scores_gemma":[0.9993135,0.00041429274,0.00011244532,0.000029852867,0.000100633486,0.000029296294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016270323,0.001332147,0.0011521017,0.0006267772,0.00029992728,0.0011519371,0.00096746004,0.001309993,0.0014237671],"category_scores_gemma":[0.0016611306,0.0006312937,0.0009381093,0.00054291,0.0007157268,0.0008736882,0.0011324567,0.00095004495,0.00020744017],"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":[0.000019235827,0.000016756872,0.00011865037,0.00004023554,0.000030312232,0.00003369933,0.000012102695,0.98929286,0.0009196307,0.0038155273,0.00018819724,0.005512809],"study_design_scores_gemma":[0.0000024247001,0.000015977297,0.000023309698,0.0000032934781,0.0000036267047,0.000004079539,0.0000031137272,0.9988423,0.00015251075,0.000812123,0.00013513365,0.0000022113413],"about_ca_topic_score_codex":0.0025574921,"about_ca_topic_score_gemma":0.0017187627,"teacher_disagreement_score":0.0025574921,"about_ca_system_score_codex":0.0007231409,"about_ca_system_score_gemma":0.0009036943,"threshold_uncertainty_score":0.008604646},"labels":[],"label_agreement":null},{"id":"W4417170219","doi":"10.1109/tvt.2025.3642175","title":"Wavelet Convolution Enabled Distributed Machine Learning for Downlink Channel Estimation in RIS Assisted Communications","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Convolution (computer science); Channel (broadcasting); Overhead (engineering); Convolutional neural network; Feature (linguistics); Telecommunications link; Wavelet; Representation (politics)","score_opus":0.016594853281879606,"score_gpt":0.26791338002855686,"score_spread":0.25131852674667726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417170219","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":[0.04156797,0.00019913395,0.95655495,0.00012753278,0.000033770753,0.0000142997515,0.000035761503,0.00051136833,0.0009551578],"genre_scores_gemma":[0.8681135,0.00019642277,0.12945785,0.00012755001,0.00003912162,0.000036734717,0.00013023351,0.000036321046,0.001862282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997702,0.000058287715,0.000010733932,0.000051237548,0.000062271436,0.000047366517],"domain_scores_gemma":[0.99954635,0.00023329411,0.00003982633,0.000065067885,0.00009246689,0.000022955799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058927224,0.00044504358,0.0005006562,0.00027471935,0.00022018858,0.00032483696,0.00080273964,0.00052656815,0.0006686877],"category_scores_gemma":[0.0015611479,0.00021002664,0.00030702274,0.0004477877,0.00036157214,0.00089453085,0.0007059345,0.000980471,0.00021697869],"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":[0.0002372668,0.0001225983,0.001549206,0.00004716966,0.000048489088,0.00011741329,0.000065997825,0.6939718,0.014290481,0.0047053103,0.0014438597,0.28340042],"study_design_scores_gemma":[0.0000019926633,0.000012855906,0.000090212976,9.419212e-7,0.0000020201285,0.0000082402885,0.0000027925803,0.9978957,0.0013797401,0.00051062554,0.000092921706,0.0000019101874],"about_ca_topic_score_codex":0.002783673,"about_ca_topic_score_gemma":0.003069033,"teacher_disagreement_score":0.002783673,"about_ca_system_score_codex":0.0003536413,"about_ca_system_score_gemma":0.0005624185,"threshold_uncertainty_score":0.0055348873},"labels":[],"label_agreement":null},{"id":"W4417201803","doi":"10.1109/tvt.2025.3642703","title":"Counterfactual Multi-Agent DRL for Efficient Task Offloading in Vehicular Edge Computing","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT and Edge/Fog Computing","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":"University of Windsor","funders":"","keywords":"Counterfactual thinking; Reinforcement learning; Markov decision process; Latency (audio); Scheduling (production processes); Edge computing; Task (project management); Task analysis; Enhanced Data Rates for GSM Evolution","score_opus":0.01721799770839729,"score_gpt":0.27040730646929645,"score_spread":0.2531893087608992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417201803","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":[0.052235007,0.00033201938,0.94482386,0.00035400037,0.0000711511,0.00006902405,0.000033228927,0.00034050277,0.0017411867],"genre_scores_gemma":[0.96320033,0.00006841644,0.035846423,0.00012110063,0.000019407576,0.00005902458,0.000027333801,0.000025184994,0.0006328042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989334,0.00046528951,0.00004585197,0.00019585263,0.00016900015,0.00019066782],"domain_scores_gemma":[0.9972415,0.0016391685,0.00038109027,0.00024525198,0.00027232047,0.00022057116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002626169,0.0007564347,0.0010050108,0.0003913137,0.00053622527,0.0010810822,0.001729626,0.00079273095,0.0012004314],"category_scores_gemma":[0.0054565542,0.00045642094,0.00042674103,0.00039323827,0.001254377,0.0013829996,0.0015191777,0.0012866907,0.00014475688],"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":[0.00008977197,0.00003966915,0.0005149793,0.000029431967,0.000019182802,0.000049923143,0.000037710102,0.9808413,0.0008434572,0.005840065,0.00027989675,0.011414691],"study_design_scores_gemma":[0.0000056447234,0.000012945383,0.000033003107,0.0000013045229,0.000002180525,0.0000039950123,0.0000046660125,0.9976272,0.00013563754,0.00209517,0.00007650136,0.0000018099196],"about_ca_topic_score_codex":0.0060458286,"about_ca_topic_score_gemma":0.00639558,"teacher_disagreement_score":0.0060458286,"about_ca_system_score_codex":0.0011854153,"about_ca_system_score_gemma":0.0019152699,"threshold_uncertainty_score":0.013888657},"labels":[],"label_agreement":null},{"id":"W4417515405","doi":"10.1109/tvt.2025.3608811","title":"DriveSOTIF: Advancing SOTIF Through Multimodal Large Language Models","year":2025,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmarking; Inference; Baseline (sea); Domain (mathematical analysis); Work (physics); Language model; Task analysis; Language understanding","score_opus":0.009577541560101646,"score_gpt":0.28380894074969765,"score_spread":0.274231399189596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417515405","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":[0.16007702,0.0041457475,0.6613215,0.0029353437,0.0011140787,0.00093621673,0.0408315,0.11297246,0.01566609],"genre_scores_gemma":[0.48895428,0.0009743486,0.3820063,0.0016792205,0.00022494316,0.0009064034,0.109700054,0.00302741,0.01252719],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907887,0.00028609252,0.000051530817,0.00034192397,0.00013915576,0.00010245274],"domain_scores_gemma":[0.99867487,0.0006225393,0.00005882007,0.00029074415,0.00027598575,0.000077047756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015075734,0.0021871638,0.00074873224,0.0012798517,0.0005517348,0.0017383496,0.0022296708,0.00187481,0.004676202],"category_scores_gemma":[0.0053238156,0.0005072177,0.002056699,0.0006551388,0.0005196175,0.0025778618,0.0021567969,0.0027819185,0.0035739103],"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":[0.0005955926,0.0007735951,0.0112271,0.00089445966,0.0005445663,0.000592357,0.0005880696,0.3262733,0.018103428,0.006576207,0.14274,0.49109134],"study_design_scores_gemma":[0.00006657388,0.00010426323,0.0013814834,0.00006753371,0.000049240927,0.00011918663,0.00020685328,0.9685298,0.005766645,0.0070410576,0.016611747,0.00005569377],"about_ca_topic_score_codex":0.03244457,"about_ca_topic_score_gemma":0.049208526,"teacher_disagreement_score":0.03244457,"about_ca_system_score_codex":0.0014778444,"about_ca_system_score_gemma":0.0015725167,"threshold_uncertainty_score":0.06451142},"labels":[],"label_agreement":null},{"id":"W6903409169","doi":"10.1109/tvt.2025.3590418","title":"Low Complexity Super-Resolution OTFS-Assisted ISAC Framework for THz Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"PAPR reduction in OFDM","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":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Multipath propagation; Computational complexity theory; Reduction (mathematics); Transmitter; Transmission (telecommunications); Data transmission; Amplifier","score_opus":0.02205985284960184,"score_gpt":0.275441637040016,"score_spread":0.2533817841904142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903409169","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":[0.006660366,0.00027287088,0.9902986,0.000092887196,0.000027735026,0.000018763183,0.000050864503,0.0002496936,0.002328214],"genre_scores_gemma":[0.40616363,0.0006735315,0.5860138,0.00024715145,0.000084294115,0.00014138056,0.00031562895,0.00013694399,0.0062237033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997452,0.000041190702,0.000009463332,0.000043805856,0.00012744822,0.000032967557],"domain_scores_gemma":[0.9997428,0.000095401025,0.00003083816,0.00002816055,0.000085077816,0.000017710858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036750635,0.0006765069,0.0004430176,0.00028739581,0.00026060178,0.00056941406,0.0008841223,0.0006746639,0.0019415028],"category_scores_gemma":[0.00093764556,0.00019661184,0.0003938674,0.00031646193,0.0004623792,0.00073749776,0.000622001,0.0010526853,0.0004758425],"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":[0.00018167969,0.00006783386,0.000720353,0.00015441705,0.000047763733,0.00027397205,0.00015350203,0.7128406,0.04673657,0.034565162,0.003680925,0.2005772],"study_design_scores_gemma":[0.000002543424,0.000020357242,0.000055715554,0.0000048211887,0.0000040484265,0.000035262798,0.0000075830944,0.994534,0.002162585,0.0018681464,0.0012992295,0.0000057515877],"about_ca_topic_score_codex":0.0045745983,"about_ca_topic_score_gemma":0.007671379,"teacher_disagreement_score":0.0045745983,"about_ca_system_score_codex":0.0006314757,"about_ca_system_score_gemma":0.0010403948,"threshold_uncertainty_score":0.009095967},"labels":[],"label_agreement":null},{"id":"W7081914764","doi":"10.1109/tvt.2025.3609799","title":"A Stability and Terminal Constraints-Based Obstacle Avoidance Framework for Autonomous Industrial Vehicles Under Complex Scenarios","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Geochemistry and Geologic Mapping","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":"University of Waterloo","funders":"National Natural Science Foundation of China; Natural Science Foundation for Distinguished Young Scholars of Anhui Province","keywords":"Obstacle avoidance; Collision avoidance; Context (archaeology); Control theory (sociology); Model predictive control; Obstacle; Stability (learning theory); Trajectory; Vehicle dynamics","score_opus":0.036786656530171505,"score_gpt":0.2685843550758926,"score_spread":0.23179769854572113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7081914764","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":[0.013040044,0.0001200907,0.9844237,0.00006143339,0.000014487409,0.000030383673,0.000028777658,0.00011200647,0.0021691073],"genre_scores_gemma":[0.8631714,0.00031765518,0.13306116,0.000042474843,0.000039564184,0.0002481396,0.0001684419,0.000057767487,0.0028934171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975914,0.00004491096,0.000009924694,0.00005099456,0.00009475272,0.000040323746],"domain_scores_gemma":[0.9997811,0.00006455556,0.000051574956,0.000012584755,0.00006544241,0.000024783485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042265994,0.0009226714,0.0005752825,0.00047737375,0.00043986746,0.00079522654,0.001137598,0.00066983415,0.001256058],"category_scores_gemma":[0.0006399421,0.00036998146,0.00056833075,0.0004033385,0.0005645687,0.00067246147,0.0011611544,0.00079464976,0.00019876934],"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":[0.000008671911,0.000008778528,0.00012228335,0.000015766202,0.000007080421,0.000032453354,0.000022480617,0.9881782,0.00089085806,0.004772239,0.00014591558,0.0057953047],"study_design_scores_gemma":[0.0000020008727,0.000012958615,0.00004707166,0.0000019732552,0.0000019294998,0.0000037175098,0.0000048555985,0.99840313,0.00013432288,0.0011949473,0.00019121324,0.000001997599],"about_ca_topic_score_codex":0.0111803925,"about_ca_topic_score_gemma":0.0070097046,"teacher_disagreement_score":0.0111803925,"about_ca_system_score_codex":0.00066415797,"about_ca_system_score_gemma":0.0015683351,"threshold_uncertainty_score":0.022230625},"labels":[],"label_agreement":null},{"id":"W7086737277","doi":"10.1109/tvt.2025.3619529","title":"UAV Aided Integrated Sensing, Communication and Computing: Optimization via Federated Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","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":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Overhead (engineering); Software deployment; State (computer science); Resource (disambiguation); Federated learning; Baseline (sea); Kalman filter; Wireless; The Internet","score_opus":0.0062725265968230325,"score_gpt":0.2050999524819937,"score_spread":0.19882742588517066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7086737277","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":[0.017892193,0.00012145711,0.98027486,0.00009470643,0.000026299878,0.000023080833,0.00001682032,0.0002760364,0.0012745761],"genre_scores_gemma":[0.91977197,0.00010803692,0.07865737,0.00008344021,0.000019018125,0.000057132154,0.000049639122,0.000019450215,0.0012339245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994623,0.00013188811,0.000024856523,0.00013541536,0.00013370556,0.000111774854],"domain_scores_gemma":[0.9994023,0.00023534009,0.00009468955,0.00009613338,0.000120865516,0.00005070474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009719076,0.0005691509,0.0007728865,0.00033583035,0.00043052467,0.00090240757,0.0010433621,0.00080270105,0.0007367332],"category_scores_gemma":[0.0015472708,0.00024191895,0.00045601305,0.00041868273,0.0006432499,0.0009426344,0.0013016887,0.00081219786,0.00017491187],"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":[0.00007461765,0.000068987414,0.00084123615,0.000031550146,0.000034799785,0.00005211084,0.0000336203,0.940073,0.0029537377,0.0053769383,0.000528968,0.04993048],"study_design_scores_gemma":[0.0000032342673,0.000018156936,0.00006192371,0.0000017670646,0.0000027432645,0.0000073065867,0.0000054631355,0.9977731,0.0005224236,0.0014530891,0.00014884562,0.0000019557608],"about_ca_topic_score_codex":0.0039758524,"about_ca_topic_score_gemma":0.0030848475,"teacher_disagreement_score":0.0039758524,"about_ca_system_score_codex":0.0006001399,"about_ca_system_score_gemma":0.0013750853,"threshold_uncertainty_score":0.007905364},"labels":[],"label_agreement":null},{"id":"W7101421650","doi":"10.1109/tvt.2025.3626426","title":"Orbital Debris Outage Risk Analysis in Inter-Satellite Links With Multicasting","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Space debris; Transmission (telecommunications); Observer (physics); Debris; Path loss; Estimator; Obstacle; Antenna diversity","score_opus":0.010421757931378292,"score_gpt":0.24512474397854536,"score_spread":0.23470298604716708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101421650","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":[0.8673206,0.0005088433,0.1285506,0.0001979346,0.00001975626,0.00003479024,0.0001929961,0.00008041194,0.0030940308],"genre_scores_gemma":[0.9972541,0.00012317755,0.0021217589,0.000007753659,0.0000137220595,0.000011962727,0.0000942371,0.0000060253988,0.00036738405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916065,0.0002683835,0.000035569232,0.00008743686,0.00029514867,0.0001527543],"domain_scores_gemma":[0.9940912,0.0036829195,0.0012983549,0.00022729898,0.00052673544,0.00017342894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013594495,0.0004886588,0.0004422155,0.00095898914,0.00035889246,0.00069270475,0.00055709656,0.00047674056,0.00124246],"category_scores_gemma":[0.006921456,0.00017110724,0.00038070514,0.00077577535,0.0003962989,0.0009133379,0.00078278914,0.0003742005,0.000117322845],"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":[0.00028101951,0.000054794342,0.07970454,0.00008430826,0.00009257139,0.0010513739,0.00017316,0.88278353,0.0033999071,0.007458284,0.00094638,0.023970168],"study_design_scores_gemma":[0.000006178723,0.00012336571,0.018933797,0.000009744721,0.000045707908,0.0004610547,0.00021526811,0.974919,0.0010682833,0.0038634762,0.00033966763,0.000014367003],"about_ca_topic_score_codex":0.0022932487,"about_ca_topic_score_gemma":0.0014721412,"teacher_disagreement_score":0.0022932487,"about_ca_system_score_codex":0.00076632015,"about_ca_system_score_gemma":0.00035139988,"threshold_uncertainty_score":0.0071895123},"labels":[],"label_agreement":null},{"id":"W7101570573","doi":"10.1109/tvt.2025.3626427","title":"Enhancing BEV Perception Through Vehicle-Road Cooperative Systems: An Attention-Based Cross-View Fusion Approach","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Neural Network Applications","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":"Carleton University","funders":"Beijing Social Science Fund","keywords":"Sensor fusion; Perception; Feature (linguistics); Implementation; Field (mathematics); Channel (broadcasting); Active perception","score_opus":0.017950095172184148,"score_gpt":0.2963135318608911,"score_spread":0.27836343668870694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101570573","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":[0.06692341,0.0013462901,0.9249367,0.00027194628,0.00013746282,0.00007537314,0.00025328944,0.002124704,0.0039308583],"genre_scores_gemma":[0.8253934,0.00047186686,0.17044857,0.0002136153,0.000104307146,0.00006289077,0.00086255063,0.00016170126,0.002281131],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921715,0.00011630627,0.000021382972,0.00027654224,0.00021495968,0.00015350393],"domain_scores_gemma":[0.99952185,0.000086550164,0.000046892765,0.00012038666,0.00018358736,0.000040714338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008244051,0.0012451397,0.000990766,0.0012482663,0.0004925294,0.0010584818,0.0017119705,0.0007484155,0.0010272573],"category_scores_gemma":[0.0014338891,0.0003740425,0.0009100582,0.0009186333,0.00047982088,0.002004141,0.003025172,0.0011783488,0.00049126294],"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":[0.00043706945,0.0003454541,0.0052204984,0.00021827644,0.00042140504,0.00031615118,0.0007321424,0.25645304,0.09832795,0.009173263,0.007664687,0.62069],"study_design_scores_gemma":[0.000023060793,0.00019656467,0.0037172514,0.000020410534,0.00012457158,0.00019042146,0.00023237595,0.95777804,0.023087956,0.008473005,0.006115633,0.000040759744],"about_ca_topic_score_codex":0.009846481,"about_ca_topic_score_gemma":0.010616889,"teacher_disagreement_score":0.009846481,"about_ca_system_score_codex":0.00061126106,"about_ca_system_score_gemma":0.00089868094,"threshold_uncertainty_score":0.019578338},"labels":[],"label_agreement":null},{"id":"W7104024471","doi":"10.1109/tvt.2025.3629100","title":"Handoff Decision Optimization in Train Autonomous Control Systems Using a Rolling Prediction-Decision Framework","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Handover; Channel (broadcasting); Reliability (semiconductor); Control (management); Path (computing); Scheme (mathematics); Decision model; State (computer science)","score_opus":0.006633378201355161,"score_gpt":0.22604392116627875,"score_spread":0.2194105429649236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104024471","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":[0.078262486,0.0007316345,0.9157394,0.00065708376,0.000098548415,0.00005348111,0.00009621167,0.0004137774,0.0039473297],"genre_scores_gemma":[0.9838665,0.00014943995,0.014099506,0.00010442704,0.000029475426,0.0000435781,0.000060609214,0.00001673079,0.0016298234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994881,0.0000960859,0.000025402845,0.00014306903,0.00010712637,0.0001401975],"domain_scores_gemma":[0.9992442,0.00041758898,0.00010121959,0.00002556383,0.0001546485,0.000056745266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094005186,0.0008655854,0.0010078615,0.0003114497,0.0005028033,0.00091901195,0.0009911809,0.00092881883,0.0014143721],"category_scores_gemma":[0.0016741123,0.00048262934,0.0004874239,0.00036355402,0.00075023493,0.0007878833,0.0009218028,0.0015493747,0.00012407229],"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":[0.000026831854,0.000015739945,0.0002418578,0.000013117595,0.000009444214,0.000024764155,0.000017799364,0.9911419,0.00032545897,0.0013180886,0.00015930866,0.00670555],"study_design_scores_gemma":[0.0000014987462,0.000004855456,0.00002603837,6.454454e-7,0.0000016122009,0.0000010189534,0.000001305142,0.99961996,0.00004207394,0.00027895678,0.000021177406,9.489216e-7],"about_ca_topic_score_codex":0.03281595,"about_ca_topic_score_gemma":0.017722962,"teacher_disagreement_score":0.03281595,"about_ca_system_score_codex":0.0012489764,"about_ca_system_score_gemma":0.0019862887,"threshold_uncertainty_score":0.06524992},"labels":[],"label_agreement":null},{"id":"W7108223307","doi":"10.1109/tvt.2025.3639149","title":"Toward Requested VR QoE Using Multi-Objective Reinforcement Learning","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Image and Video Quality Assessment","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":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Quality of experience; Wireless; Virtual reality; Bandwidth (computing); Wireless network; Resource (disambiguation); Selection (genetic algorithm); Resource management (computing)","score_opus":0.04300119225724845,"score_gpt":0.3260113996631552,"score_spread":0.2830102074059067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108223307","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":[0.04137568,0.00021477192,0.9557052,0.00021255012,0.000034176694,0.00008422734,0.000019392786,0.0002545355,0.0020995187],"genre_scores_gemma":[0.93985116,0.00011549675,0.05861836,0.00014517046,0.000026559414,0.000120625635,0.000034683806,0.000025629852,0.0010622494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993643,0.00019563838,0.000032242628,0.00013555818,0.00015378914,0.00011837043],"domain_scores_gemma":[0.9983713,0.0009309818,0.00020039693,0.000063900254,0.0003290221,0.00010428769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012968027,0.00093684945,0.001021984,0.00039165013,0.00032597178,0.0007148106,0.0010475926,0.000778606,0.0010216457],"category_scores_gemma":[0.0036308302,0.00030742638,0.00042397203,0.00031447216,0.00056175847,0.0007358992,0.0009056553,0.0010883865,0.00014830651],"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":[0.0000813037,0.00012893154,0.0011637919,0.000046428548,0.00003742494,0.000051512478,0.000053072694,0.9508976,0.0026325935,0.0022529215,0.0005153803,0.042139098],"study_design_scores_gemma":[0.000011529575,0.000032697877,0.00008353001,0.0000022500424,0.0000041675357,0.0000068395348,0.0000045063352,0.9989925,0.00025760627,0.0005365999,0.00006467374,0.0000030547799],"about_ca_topic_score_codex":0.0055057956,"about_ca_topic_score_gemma":0.00358971,"teacher_disagreement_score":0.0055057956,"about_ca_system_score_codex":0.0006729051,"about_ca_system_score_gemma":0.0012698259,"threshold_uncertainty_score":0.0109475255},"labels":[],"label_agreement":null},{"id":"W7117545059","doi":"10.1109/tvt.2025.3649304","title":"Demand-Oriented Autonomous Navigation for Mobile Robots With Vector-Semantic Mapping in Urban Environments","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Robotics and Sensor-Based Localization","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":"Carleton University","funders":"Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Mobile robot; Mobile robot navigation; Robot; Parsing; Map matching; Motion planning; Task (project management); Natural language; Navigation system; Relevance (law)","score_opus":0.0054010104327949565,"score_gpt":0.20737000660957958,"score_spread":0.20196899617678463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117545059","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":[0.021636236,0.000037437483,0.973822,0.000056618097,0.0000125357055,0.000030249987,0.00009686053,0.0028243698,0.0014837636],"genre_scores_gemma":[0.5810406,0.00011539534,0.41264826,0.0000748219,0.000012164887,0.000119983466,0.0008653867,0.0004773735,0.0046460265],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967456,0.0000617745,0.000021363647,0.00007596814,0.00013028852,0.000036183024],"domain_scores_gemma":[0.99971074,0.00006096904,0.00003458685,0.00008308388,0.00009728257,0.000013376858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032763928,0.000614556,0.0003562881,0.00051086966,0.0003693591,0.00066103943,0.0009298101,0.0004133248,0.0013964755],"category_scores_gemma":[0.0008698829,0.00026124288,0.00043481184,0.00064113585,0.0004222492,0.0015095127,0.0013048204,0.00041671412,0.0008331771],"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":[0.00035279285,0.00020078149,0.004341494,0.0003312871,0.000054649598,0.00061566674,0.00096378464,0.18874884,0.08569573,0.0450993,0.00816264,0.66543305],"study_design_scores_gemma":[0.00001926087,0.000111583715,0.0011102121,0.0000118553735,0.000025952368,0.00027360118,0.00038667052,0.9268446,0.039695937,0.020501683,0.010982858,0.000035822053],"about_ca_topic_score_codex":0.0029548444,"about_ca_topic_score_gemma":0.0041849953,"teacher_disagreement_score":0.0029548444,"about_ca_system_score_codex":0.00032381198,"about_ca_system_score_gemma":0.00076215627,"threshold_uncertainty_score":0.0058752894},"labels":[],"label_agreement":null}]}