{"meta":{"query_hash":"603f63cb3039","filters":{"venue":"IEEE Vehicular Technology Magazine"},"cohort_total":60,"direct_labels_cover":0,"predictions_cover":60,"exported":60,"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/603f63cb3039","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Vehicular+Technology+Magazine"},"results":[{"id":"W2029605802","doi":"10.1109/mvt.2009.934672","title":"Cognitive radio networks","year":2009,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":123,"is_retracted":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":"Division of Mathematical Sciences; University of Edinburgh; Scottish Funding Council; Heriot-Watt University","keywords":"Cognitive radio; Exploit; Transceiver; Radio spectrum; Computer science; Interference (communication); Radio resource management; Spectrum management; Computer network; Software-defined radio; Telecommunications; Resource (disambiguation); Wireless; Computer security; Wireless network; Channel (broadcasting)","score_opus":0.00855950821934291,"score_gpt":0.232055488476004,"score_spread":0.2234959802566611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029605802","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008531356,0.062011838,0.6314298,0.00782988,0.0055134315,0.00041690658,0.0014259027,0.002564496,0.28027633],"genre_scores_gemma":[0.5292133,0.10110599,0.2063389,0.008499149,0.008010277,0.0010661414,0.0033132988,0.0002766831,0.14217629],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895525,0.00020955405,0.00003181175,0.00023075077,0.00044736257,0.00012522917],"domain_scores_gemma":[0.9991203,0.00033067685,0.000092369315,0.00013688141,0.0002075323,0.0001122921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049361296,0.0011461835,0.00090569153,0.00078205176,0.0009379252,0.003120271,0.0022814253,0.0022434175,0.015890278],"category_scores_gemma":[0.0023784155,0.00021977435,0.00029870335,0.0013648818,0.0007742672,0.0019244702,0.002023034,0.0015060869,0.0082648685],"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":[0.00013006682,0.00011569818,0.00084745744,0.0007332651,0.00012215665,0.0005382105,0.00012764457,0.026752017,0.005866314,0.23893842,0.11903196,0.6067968],"study_design_scores_gemma":[0.00006791576,0.00017961567,0.0006527655,0.00038442362,0.00007628724,0.0014319397,0.00013977387,0.092730254,0.0020594797,0.29285645,0.60933787,0.0000833171],"about_ca_topic_score_codex":0.0014760583,"about_ca_topic_score_gemma":0.0014921359,"teacher_disagreement_score":0.015890278,"about_ca_system_score_codex":0.000795637,"about_ca_system_score_gemma":0.0010415144,"threshold_uncertainty_score":0.053158224},"labels":[],"label_agreement":null},{"id":"W2065435001","doi":"10.1109/mvt.2012.2203691","title":"Data Transport Networks: Case Studies in a Public Transit Environment","year":2012,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"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 Taipei University of Technology; University of Ottawa","keywords":"Metro Ethernet; Synchronous optical networking; Computer network; Ethernet; Telecommunications; Public transport; Circuit switching; Ethernet over SDH; Connection-oriented Ethernet; Switched communication network; Computer science; Context (archaeology); Engineering; Carrier Ethernet; Ethernet flow control; Transport engineering","score_opus":0.049008695872378716,"score_gpt":0.26993078103254714,"score_spread":0.22092208516016842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065435001","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":[0.95054066,0.0008996374,0.0062848823,0.0018287025,0.00004383774,0.00040452578,0.000392158,0.000058635982,0.03954704],"genre_scores_gemma":[0.9841987,0.0016515857,0.004782425,0.00013664438,0.00002973906,0.00015860915,0.00021061189,0.000021135787,0.008810574],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.9981673,0.0009360825,0.00007438454,0.00010392171,0.0003243216,0.0003939771],"domain_scores_gemma":[0.99570435,0.0025570383,0.00050819525,0.00018503684,0.00058468344,0.00046068936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015162764,0.0005788576,0.00028801025,0.0018488641,0.0051840344,0.0022184427,0.0015635578,0.00362314,0.0042424332],"category_scores_gemma":[0.0039612353,0.00029338346,0.00048071152,0.00447751,0.0020859693,0.0025528471,0.0019890612,0.0014018768,0.0004830168],"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":[0.0016160909,0.011193972,0.13945657,0.002612782,0.00021622592,0.2360173,0.13067727,0.11050114,0.008224074,0.18408604,0.04073124,0.1346673],"study_design_scores_gemma":[0.00031535554,0.002456902,0.05172292,0.0008259823,0.00022242953,0.0298608,0.55959195,0.0992368,0.008029792,0.015308278,0.23227753,0.00015129801],"about_ca_topic_score_codex":0.055952765,"about_ca_topic_score_gemma":0.08351766,"teacher_disagreement_score":0.055952765,"about_ca_system_score_codex":0.006488189,"about_ca_system_score_gemma":0.0016591974,"threshold_uncertainty_score":0.111254156},"labels":[],"label_agreement":null},{"id":"W2066844082","doi":"10.1109/mvt.2011.940792","title":"An Open-Source Archiving System","year":2011,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"University of British Columbia","funders":"","keywords":"Wireless; Channel (broadcasting); Computer science; Data collection; Data science; Set (abstract data type); Telecommunications","score_opus":0.023933412037499477,"score_gpt":0.2543658130494606,"score_spread":0.2304324010119611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066844082","genre_codex":"software","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":[0.0018937021,0.0003740146,0.20006411,0.0007823844,0.000989405,0.0012605995,0.08758181,0.6658227,0.041231323],"genre_scores_gemma":[0.023647916,0.0012165703,0.24323186,0.0015571244,0.0008053786,0.003903933,0.41616252,0.17947894,0.12999575],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99529535,0.00048725575,0.0010480314,0.0009087012,0.0019432734,0.00031743283],"domain_scores_gemma":[0.9790081,0.0025252174,0.0010616368,0.010282665,0.0057944558,0.0013279425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007794962,0.0029674512,0.0023609465,0.007564884,0.002396888,0.011067525,0.00791805,0.0038797688,0.16528153],"category_scores_gemma":[0.020298274,0.0017505992,0.0021426876,0.007155986,0.00096639514,0.008259906,0.0070356103,0.004817174,0.24433099],"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":[0.0011570432,0.000336942,0.0015500957,0.0012453351,0.00021247163,0.0006858694,0.00078131864,0.0014374143,0.012300733,0.010415138,0.7425809,0.2272967],"study_design_scores_gemma":[0.00021980035,0.00008274489,0.0024913638,0.0003254887,0.00007803937,0.00049541134,0.00022044714,0.0104509415,0.014035724,0.012968444,0.95833117,0.00030029137],"about_ca_topic_score_codex":0.0034474093,"about_ca_topic_score_gemma":0.002260971,"teacher_disagreement_score":0.16528153,"about_ca_system_score_codex":0.0017893192,"about_ca_system_score_gemma":0.004357321,"threshold_uncertainty_score":0.5529218},"labels":[],"label_agreement":null},{"id":"W2111792673","doi":"10.1109/mvt.2009.932541","title":"Global modeling and control strategy simulation","year":2009,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Electric and Hybrid Vehicle 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":"Alberta University of the Arts","funders":"","keywords":"Continuously variable transmission; Automotive engineering; Control engineering; Torque; Transmission (telecommunications); Engineering; Co-simulation; Electric vehicle; Control system; Power (physics); Computer science; Simulation; Electrical engineering","score_opus":0.00828014726181586,"score_gpt":0.22960526553794133,"score_spread":0.22132511827612547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111792673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022254627,0.00032739897,0.8700328,0.00037331827,0.0001540355,0.0002196413,0.0010832549,0.00201967,0.10353535],"genre_scores_gemma":[0.77726316,0.0008859509,0.15744822,0.00020828626,0.00007578774,0.0011786359,0.0022024678,0.00047593974,0.06026155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998129,0.000036109395,0.00000903423,0.00004184511,0.000069842325,0.000030255269],"domain_scores_gemma":[0.9998423,0.00004194447,0.000016602138,0.000028672166,0.000059278296,0.00001121305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026808918,0.00082393666,0.00078685046,0.00042447128,0.00042173508,0.0012636133,0.0010081235,0.0008559953,0.01588239],"category_scores_gemma":[0.0005220046,0.00023471606,0.00077639986,0.000350546,0.00041151454,0.00076125,0.0007505918,0.0006435881,0.0022248738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018936911,0.000013226881,0.00023028094,0.000036699137,0.0000131156385,0.000044820696,0.00002943169,0.97337365,0.0009030277,0.014711566,0.0011010104,0.009524208],"study_design_scores_gemma":[0.0000090457315,0.000017711458,0.000088221896,0.0000050181557,0.0000055825094,0.000010202934,0.000011026658,0.9917911,0.00028103436,0.003296646,0.004480053,0.0000043028012],"about_ca_topic_score_codex":0.011052843,"about_ca_topic_score_gemma":0.005335084,"teacher_disagreement_score":0.01588239,"about_ca_system_score_codex":0.00061402586,"about_ca_system_score_gemma":0.00097578316,"threshold_uncertainty_score":0.053131938},"labels":[],"label_agreement":null},{"id":"W2112095575","doi":"10.1109/mvt.2008.923975","title":"High-speed rail approaches 200 Mi/h in the Western Hemisphere [Transportation Systems]","year":2008,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","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 Ottawa","funders":"","keywords":"Rail transportation; Transport engineering; Western hemisphere; Rail traffic; Engineering; Telecommunications; Third rail; Electrical engineering; Automotive engineering; Computer science; Systems engineering; Environmental science; Business; Mechanical engineering","score_opus":0.05107822142538182,"score_gpt":0.20883728215580527,"score_spread":0.15775906073042345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112095575","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":[0.5360746,0.006324591,0.0011689079,0.012000544,0.002175148,0.00012297694,0.083811745,0.00064299774,0.3576785],"genre_scores_gemma":[0.69555926,0.0050706747,0.00088339136,0.0021064077,0.0005567724,0.000083522194,0.027869143,0.00008598204,0.2677848],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9998801,0.000007745112,0.000005190161,0.000018692357,0.000031220363,0.000057049838],"domain_scores_gemma":[0.99989796,0.0000037685252,0.000018423296,0.0000021456708,0.00004521564,0.000032413885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086359614,0.00022675995,0.0001250212,0.00087508745,0.0011799425,0.00089515967,0.00024596794,0.0005886194,0.018001953],"category_scores_gemma":[0.00019964993,0.000104086204,0.00016321643,0.002291591,0.0001553681,0.00056329585,0.00036295544,0.0004862577,0.0028832585],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018205417,0.000070835704,0.2773148,0.00025637503,0.00005144161,0.0012051518,0.002775612,0.0006630684,0.0014520113,0.0049438914,0.6153128,0.09577185],"study_design_scores_gemma":[0.0000043617015,0.000022013328,0.772685,0.00004747864,0.000015727714,0.00014975086,0.002206214,0.00015867244,0.00012669027,0.00013760207,0.22443952,0.0000069637467],"about_ca_topic_score_codex":0.53134614,"about_ca_topic_score_gemma":0.85530937,"teacher_disagreement_score":0.53134614,"about_ca_system_score_codex":0.0012158556,"about_ca_system_score_gemma":0.0018753937,"threshold_uncertainty_score":0.9428277},"labels":[],"label_agreement":null},{"id":"W2112383422","doi":"10.1109/mvt.2008.931621","title":"Doppler spread technique","year":2009,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"Communications Research Centre Canada","funders":"","keywords":"Doppler effect; Antenna (radio); Fading; Electronic engineering; Computer science; Doppler frequency; Telecommunications; Engineering; Physics; Channel (broadcasting)","score_opus":0.014449950923963827,"score_gpt":0.27491483253376797,"score_spread":0.26046488160980413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112383422","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":[0.03490436,0.0066418173,0.93277377,0.0006346345,0.00092811283,0.00017288499,0.00016509676,0.0016426424,0.022136668],"genre_scores_gemma":[0.50049216,0.006853427,0.44019476,0.0009832087,0.00073714805,0.00015690716,0.00042373582,0.00018740524,0.04997124],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994236,0.000059874914,0.000022060913,0.00010141682,0.0003266325,0.00006643641],"domain_scores_gemma":[0.9994216,0.00016014877,0.000063407,0.00011273129,0.00021612077,0.000026102514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037086144,0.0005713187,0.0004736732,0.0011069055,0.0005179733,0.00074015954,0.0010438926,0.0009721479,0.006530746],"category_scores_gemma":[0.001028692,0.0002247877,0.0003304358,0.0007243925,0.00044153904,0.0012023103,0.000824798,0.0009564178,0.004224503],"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":[0.00033586557,0.00012653535,0.0018335433,0.00037514148,0.000057072317,0.0005106753,0.00025104228,0.005726895,0.3806587,0.025862379,0.006124838,0.57813734],"study_design_scores_gemma":[0.00014133069,0.0015060271,0.003205572,0.00024932614,0.00021886386,0.010563041,0.00024126671,0.11163003,0.5836902,0.010586276,0.27773696,0.00023115551],"about_ca_topic_score_codex":0.0005639002,"about_ca_topic_score_gemma":0.0007760855,"teacher_disagreement_score":0.006530746,"about_ca_system_score_codex":0.00040521804,"about_ca_system_score_gemma":0.00050158193,"threshold_uncertainty_score":0.021847486},"labels":[],"label_agreement":null},{"id":"W2129551233","doi":"10.1109/mvt.2006.307296","title":"Effective interference control in ultra-wideband wireless networks","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Ultra-Wideband Communications Technology","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":"","keywords":"Multipath propagation; Computer network; Radio resource management; Computer science; Robustness (evolution); Power control; Wireless; Wireless network; Fading; Ultra-wideband; Physical layer; Interference (communication); Electronic engineering; Channel (broadcasting); Engineering; Telecommunications; Power (physics)","score_opus":0.002918934861139275,"score_gpt":0.18929683211597212,"score_spread":0.18637789725483284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129551233","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":[0.015415579,0.0061088675,0.96567154,0.00039016837,0.0002142182,0.000026518863,0.0000139935955,0.00014750041,0.012011563],"genre_scores_gemma":[0.8906871,0.007703307,0.093141206,0.00033692818,0.0005263113,0.00016085737,0.000039679973,0.00004248563,0.007362039],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992279,0.00024255716,0.000037310892,0.00008467001,0.00033591143,0.00007164583],"domain_scores_gemma":[0.99918574,0.0005100569,0.00007794819,0.00006621727,0.00013335154,0.000026707441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007975853,0.00046519225,0.00059560087,0.00038461149,0.00045515728,0.0012345813,0.0008373436,0.0007010408,0.00074638386],"category_scores_gemma":[0.0017197202,0.00019990059,0.00018252525,0.0005465892,0.0010754269,0.0010852856,0.00070458924,0.0007980327,0.00015383793],"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":[0.00012247977,0.00006520858,0.00035202678,0.00025867173,0.000048767575,0.00034427244,0.00022239135,0.34246194,0.01789102,0.47454786,0.0029060817,0.16077934],"study_design_scores_gemma":[0.00003835732,0.00010117129,0.00023607057,0.00005287109,0.00003245359,0.00022381621,0.000082817685,0.81200063,0.006161541,0.16773626,0.01330516,0.000028952049],"about_ca_topic_score_codex":0.00067897816,"about_ca_topic_score_gemma":0.00053205306,"teacher_disagreement_score":0.0012345813,"about_ca_system_score_codex":0.00059244793,"about_ca_system_score_gemma":0.00045586136,"threshold_uncertainty_score":0.004298568},"labels":[],"label_agreement":null},{"id":"W2136070110","doi":"10.1109/mvt.2006.283571","title":"Challenges and Trends in the Design of a New Air Interface","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Techniques","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":"Air interface; Quality of service; Telecommunications link; Computer science; Interface (matter); Computer network; Relay; Resource allocation; Wireless; Telecommunications","score_opus":0.024241123214583375,"score_gpt":0.2604332694131976,"score_spread":0.23619214619861423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136070110","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075093724,0.16886242,0.5983865,0.06493163,0.0033961234,0.0002707708,0.00015868859,0.0005319079,0.088368215],"genre_scores_gemma":[0.3301721,0.11125436,0.5185454,0.0066181743,0.0035662218,0.00037225542,0.00023251715,0.00017979847,0.029059226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831796,0.00033303798,0.00015823069,0.00029405666,0.00076433277,0.00013236461],"domain_scores_gemma":[0.9966698,0.0010671387,0.00026587083,0.00018429899,0.001570074,0.00024279025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053109126,0.000501922,0.00068546686,0.00093249156,0.00070974004,0.0037846789,0.0018505272,0.003397219,0.0026099079],"category_scores_gemma":[0.003207893,0.00055182056,0.00043997652,0.0006375706,0.001597507,0.008012881,0.001149651,0.0028752922,0.0012731726],"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":[0.00025168931,0.00027566816,0.004614403,0.002097141,0.000051810373,0.00053280545,0.0010748651,0.03139648,0.03358704,0.46245366,0.01145484,0.4522096],"study_design_scores_gemma":[0.00009477061,0.0014630221,0.0030269513,0.0009497215,0.000098291945,0.0023809157,0.0026943996,0.16390991,0.017553072,0.20579992,0.60175914,0.00026983785],"about_ca_topic_score_codex":0.00083522836,"about_ca_topic_score_gemma":0.0010545951,"teacher_disagreement_score":0.0053109126,"about_ca_system_score_codex":0.00089981366,"about_ca_system_score_gemma":0.0010882973,"threshold_uncertainty_score":0.02808708},"labels":[],"label_agreement":null},{"id":"W2151114778","doi":"10.1109/mvt.2006.343629","title":"TEDS: A high speed digital mobile communication air interface for professional users","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":33,"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":"Instituto de Telecomunicações; Partenariat Canadien Contre Le Cancer; Università di Pisa","keywords":"Computer science; Computer network; Payload (computing); Physical layer; Quality of service; Network packet; Air interface; WiMAX; Data link layer; Header; Wireless; Telecommunications; Base station","score_opus":0.00533399745279098,"score_gpt":0.2428512002442202,"score_spread":0.2375172027914292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151114778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07705439,0.00383663,0.5646771,0.00307265,0.0030722981,0.0013925327,0.00749309,0.07375657,0.26564473],"genre_scores_gemma":[0.5262563,0.0035364344,0.12116237,0.0040856525,0.0012175987,0.001285664,0.015590599,0.0024195332,0.32444575],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931324,0.00011651264,0.000054479886,0.00007294276,0.00029231637,0.0001504967],"domain_scores_gemma":[0.999356,0.00007414055,0.00005237091,0.000116624,0.0002845643,0.000116275965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008639145,0.00053397473,0.000613265,0.0011302463,0.00048787153,0.0013085939,0.0008319562,0.000910008,0.030531332],"category_scores_gemma":[0.0013959769,0.0002386111,0.00024698031,0.0007235783,0.0005415693,0.0011584361,0.0017876831,0.0010043216,0.017140571],"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":[0.0013475796,0.0003287625,0.0035668167,0.0004890338,0.000057456244,0.0007018068,0.000570587,0.0024873111,0.087997064,0.043378547,0.48175,0.37732503],"study_design_scores_gemma":[0.00015174154,0.00054613285,0.0020167122,0.00006685035,0.000030986506,0.0015807386,0.00017472927,0.019603932,0.022088097,0.003908014,0.9497702,0.000061967025],"about_ca_topic_score_codex":0.00063696475,"about_ca_topic_score_gemma":0.0009517949,"teacher_disagreement_score":0.030531332,"about_ca_system_score_codex":0.00051157083,"about_ca_system_score_gemma":0.00074190495,"threshold_uncertainty_score":0.10213745},"labels":[],"label_agreement":null},{"id":"W2182833550","doi":"10.1109/mvt.2015.2481561","title":"Visible Light Communication for Vehicular Networking: Performance Study of a V2V System Using a Measured Headlamp Beam Pattern Model","year":2015,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","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":"Western University","funders":"University of Waterloo","keywords":"Headlamp; Visible light communication; Context (archaeology); Light-emitting diode; Photodetector; Computer science; Automotive industry; Photodiode; Engineering; Telecommunications; Electrical engineering; Optics; Physics","score_opus":0.03272081406041403,"score_gpt":0.24267149968593527,"score_spread":0.20995068562552124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182833550","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":[0.9367499,0.0004931842,0.05592371,0.00032381646,0.000041532985,0.00008287721,0.00030282573,0.00041250017,0.005669774],"genre_scores_gemma":[0.99766123,0.00008309387,0.0016258575,0.00001792037,0.0000043008026,0.000013099226,0.00008760089,0.000015483933,0.0004914616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905056,0.0003363785,0.000027960961,0.00013886296,0.00025777484,0.00018853348],"domain_scores_gemma":[0.9979588,0.0010193769,0.0001424931,0.00013627486,0.00066469214,0.00007843546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091893267,0.0006981842,0.0004948018,0.0005356309,0.000556257,0.0008789096,0.00090224936,0.0009351612,0.0007734951],"category_scores_gemma":[0.002479928,0.00022533275,0.00040403733,0.0008511158,0.0006387341,0.00080771215,0.0005690465,0.0005540773,0.0002991197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021536388,0.00008021508,0.004196648,0.00005175767,0.000036822144,0.0001057125,0.00006235294,0.98226315,0.0059400904,0.000855426,0.00042558723,0.0057669473],"study_design_scores_gemma":[0.000006550727,0.00014273806,0.0010204611,0.0000033327844,0.000008442699,0.00003279242,0.000032668006,0.9960782,0.0024310604,0.00014222335,0.000092130496,0.000009334812],"about_ca_topic_score_codex":0.029476224,"about_ca_topic_score_gemma":0.013855626,"teacher_disagreement_score":0.029476224,"about_ca_system_score_codex":0.001871555,"about_ca_system_score_gemma":0.000915145,"threshold_uncertainty_score":0.058609307},"labels":[],"label_agreement":null},{"id":"W2183455461","doi":"10.1109/mvt.2015.2481560","title":"Multi-UAV-Aided Networks: Aerial-Ground Cooperative Vehicular Networking Architecture","year":2015,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":315,"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; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Subnetwork; Computer science; Architecture; Vehicular ad hoc network; Common ground; Computer network; Telecommunications; Wireless; Wireless ad hoc network; Geography","score_opus":0.01437989097789254,"score_gpt":0.2246584886786765,"score_spread":0.21027859770078394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183455461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084349036,0.002701547,0.88483405,0.00085159973,0.00025408508,0.00008961746,0.00009151138,0.00045452119,0.026374009],"genre_scores_gemma":[0.9261914,0.0007353162,0.067475535,0.00013377049,0.000055326185,0.000053825846,0.00008031004,0.000008495817,0.0052660876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982446,0.000063466694,0.0000060060947,0.000034737233,0.00003649469,0.0000349446],"domain_scores_gemma":[0.9998765,0.00002831859,0.000018486611,0.000019460744,0.00004248141,0.000014777967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022685966,0.00034636373,0.00025204898,0.00024109987,0.00040150646,0.0006041633,0.0009772899,0.000538553,0.0011720039],"category_scores_gemma":[0.00024481263,0.00010301987,0.00017932079,0.00032348276,0.00025521536,0.00067650725,0.00082943315,0.0003073077,0.00028910273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018061665,0.000092387396,0.0020631389,0.00018320534,0.00008211942,0.00080879324,0.0002478832,0.6940984,0.023204912,0.105847314,0.006822124,0.16636916],"study_design_scores_gemma":[0.0000099962035,0.00014705333,0.0003674872,0.000018744508,0.000021866492,0.00026467405,0.000084928186,0.9721609,0.0029077837,0.013143083,0.010859125,0.00001442914],"about_ca_topic_score_codex":0.0022062464,"about_ca_topic_score_gemma":0.005323798,"teacher_disagreement_score":0.0022062464,"about_ca_system_score_codex":0.0004883752,"about_ca_system_score_gemma":0.00042313608,"threshold_uncertainty_score":0.0043868423},"labels":[],"label_agreement":null},{"id":"W2741692976","doi":"10.1109/mvt.2017.2667499","title":"Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing","year":2017,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":192,"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; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Edge computing; Fog computing; Provisioning; Distributed computing; Mobile cloud computing; Mobile edge computing; Computer network; Context (archaeology); Mobile computing; Operating system","score_opus":0.025792465120574523,"score_gpt":0.2885773509212849,"score_spread":0.26278488580071035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741692976","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":[0.071037725,0.0021984691,0.89125437,0.001045033,0.00079594995,0.00022808446,0.000098267206,0.0020631042,0.031279106],"genre_scores_gemma":[0.9303558,0.0011394961,0.06510641,0.00024650525,0.00010826744,0.00004527735,0.00010621347,0.000054247033,0.0028378763],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996296,0.00008526425,0.000017461974,0.000052530686,0.00010613736,0.00010884288],"domain_scores_gemma":[0.99971575,0.00004374478,0.000016532324,0.000060762064,0.000120663484,0.000042569227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036229964,0.00042623386,0.000381627,0.00041947752,0.0006210296,0.0012291658,0.0010664206,0.00045584183,0.0008198672],"category_scores_gemma":[0.00064513227,0.00016324756,0.0003751361,0.00055094366,0.0004398968,0.001408114,0.0010806653,0.0006676055,0.0002920325],"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":[0.00065064075,0.00032757357,0.0059943353,0.00058351265,0.00023687714,0.0018215261,0.00096864684,0.24679755,0.0913769,0.18814,0.032797635,0.43030477],"study_design_scores_gemma":[0.000035107845,0.00021358732,0.0009642972,0.00005871327,0.0000814822,0.00052532135,0.00026039215,0.8835689,0.02564693,0.029658634,0.058922388,0.00006429551],"about_ca_topic_score_codex":0.0058138627,"about_ca_topic_score_gemma":0.006796627,"teacher_disagreement_score":0.0058138627,"about_ca_system_score_codex":0.00063107436,"about_ca_system_score_gemma":0.00091755873,"threshold_uncertainty_score":0.011560082},"labels":[],"label_agreement":null},{"id":"W2775635164","doi":"10.1109/mvt.2017.2752760","title":"Secure Group Communications in Vehicular Networks: A Software-Defined Network-Enabled Architecture and Solution","year":2017,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","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 network; Computer science; Communication in small groups; Platoon; Vehicular ad hoc network; Network architecture; Computer security; Architecture; Enterprise information security architecture; The Internet; Telecommunications; Wireless ad hoc network; Wireless; World Wide Web","score_opus":0.009101383761553679,"score_gpt":0.22234161815014508,"score_spread":0.2132402343885914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775635164","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":[0.01146283,0.002578372,0.979298,0.0012616119,0.00035938848,0.00014720699,0.00002540649,0.0004996703,0.0043674386],"genre_scores_gemma":[0.62191874,0.005430447,0.3621048,0.0006239209,0.00045096685,0.0003370989,0.00026963511,0.000090725385,0.008773633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873096,0.0002931757,0.00008657633,0.00016203674,0.0005571995,0.00017003164],"domain_scores_gemma":[0.9993443,0.00009504793,0.00010333662,0.00015699999,0.00022166871,0.00007871518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013723903,0.00052434416,0.0005125766,0.0006529693,0.00085416617,0.0018642037,0.0019128633,0.001336299,0.00068425905],"category_scores_gemma":[0.0012525312,0.0002681843,0.00042551247,0.0007152376,0.0008053086,0.002509737,0.0030555325,0.0014344491,0.00034690305],"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":[0.00023012725,0.00019260014,0.0019024475,0.00061694323,0.0001642382,0.0005087894,0.0009335806,0.13154837,0.025764897,0.476974,0.012385741,0.3487783],"study_design_scores_gemma":[0.00007150425,0.00046079978,0.00051284226,0.00015704111,0.00010556321,0.0005826584,0.00041861137,0.6998923,0.015206193,0.16083974,0.121678255,0.00007452686],"about_ca_topic_score_codex":0.0013391593,"about_ca_topic_score_gemma":0.0014962765,"teacher_disagreement_score":0.0019128633,"about_ca_system_score_codex":0.00086650264,"about_ca_system_score_gemma":0.0015820008,"threshold_uncertainty_score":0.007257998},"labels":[],"label_agreement":null},{"id":"W2785607814","doi":"10.1109/mvt.2019.2917363","title":"Mobile Network-Connected Drones: Field Trials, Simulations, and Design Insights","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"Nortel (Canada); Blackberry (Canada); University of Alberta","funders":"","keywords":"Drone; Variety (cybernetics); Field (mathematics); Cellular network; Mobile telephony; Mobile device","score_opus":0.010327686497621223,"score_gpt":0.2248984330953429,"score_spread":0.21457074659772168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785607814","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":[0.9773077,0.00035776081,0.012989085,0.00047044133,0.000057549343,0.00022337321,0.00057823927,0.000097382326,0.007918456],"genre_scores_gemma":[0.9944723,0.00014419686,0.004267281,0.000054207136,0.0000075363623,0.000087984095,0.00022335244,0.000008577158,0.0007344532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995427,0.00023352166,0.000021088525,0.000047448684,0.000071220355,0.00008397493],"domain_scores_gemma":[0.9959151,0.0031574904,0.00022207109,0.00018188932,0.00038630544,0.00013705276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011974912,0.0006174634,0.0005106479,0.00057981117,0.00036638096,0.00052579655,0.0007011871,0.0008756279,0.001623569],"category_scores_gemma":[0.0034972196,0.00018001409,0.00029813976,0.00041412897,0.0005638524,0.0008605316,0.0004281956,0.00086019625,0.00014502616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019852418,0.0005386639,0.004425766,0.00012271157,0.00003365935,0.00013130235,0.00007464477,0.9840942,0.0012065981,0.0020303077,0.0011162583,0.006027352],"study_design_scores_gemma":[0.00013817255,0.00082038034,0.0015848897,0.000024498748,0.000023394019,0.000052130883,0.0002430155,0.99378103,0.0013789724,0.0011629427,0.00077711174,0.000013568283],"about_ca_topic_score_codex":0.0068576275,"about_ca_topic_score_gemma":0.009139623,"teacher_disagreement_score":0.0068576275,"about_ca_system_score_codex":0.0007520632,"about_ca_system_score_gemma":0.0004786468,"threshold_uncertainty_score":0.013635457},"labels":[],"label_agreement":null},{"id":"W2811220548","doi":"10.1109/mvt.2018.2837154","title":"Energy Management in Fuel-Cell\\/Battery Vehicles: Key Issues Identified in the IEEE Vehicular Technology Society Motor Vehicle Challenge 2017","year":2018,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","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 Trois-Rivières","funders":"","keywords":"Battery (electricity); Key (lock); Automotive engineering; Fuel cells; Battery electric vehicle; Engineering; Computer science; Computer security; Power (physics)","score_opus":0.021249667683458894,"score_gpt":0.28818595413588316,"score_spread":0.2669362864524243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811220548","genre_codex":"review","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":[0.09784597,0.50325906,0.047885977,0.19036467,0.0073535545,0.0001531263,0.0003666016,0.00014613631,0.15262493],"genre_scores_gemma":[0.65562546,0.29344332,0.013471685,0.00797713,0.003922852,0.000090967726,0.0002863721,0.00008760528,0.025094597],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992562,0.00014923186,0.000040044393,0.00006108737,0.00036586839,0.00012762092],"domain_scores_gemma":[0.9988475,0.00041945258,0.000075548385,0.000021052081,0.0005619553,0.00007462337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017492232,0.00034152778,0.00046291965,0.000638942,0.00096715085,0.0034907134,0.0008500771,0.0022621977,0.0018798511],"category_scores_gemma":[0.0018695358,0.00016207315,0.00019282926,0.0013900256,0.0009695939,0.0046948506,0.0015598699,0.0019362156,0.0004128778],"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":[0.00014255264,0.00025859615,0.0033702478,0.0023534684,0.000031081014,0.0005914004,0.001076807,0.014926238,0.005118652,0.35211405,0.090085745,0.5299311],"study_design_scores_gemma":[0.000014136963,0.0003225798,0.0050197644,0.0021028868,0.00002841049,0.000486807,0.009650171,0.029357927,0.007040565,0.14673665,0.7991222,0.000117936],"about_ca_topic_score_codex":0.004328394,"about_ca_topic_score_gemma":0.006733968,"teacher_disagreement_score":0.004328394,"about_ca_system_score_codex":0.0016771898,"about_ca_system_score_gemma":0.0024507397,"threshold_uncertainty_score":0.012168884},"labels":[],"label_agreement":null},{"id":"W2892200077","doi":"10.1109/mvt.2018.2865830","title":"4G\\/5G Spectrum Sharing: Efficient 5G Deployment to Serve Enhanced Mobile Broadband and Internet of Things Applications","year":2018,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced MIMO Systems 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 British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Telecommunications link; Mobile broadband; Computer network; Computer science; Broadband; Radio access technology; 3rd Generation Partnership Project 2; Telecommunications; User equipment; Mobile telephony; Spectral efficiency; Bandwidth (computing); Base station; Mobile radio; Wireless; Beamforming","score_opus":0.0049440200233710875,"score_gpt":0.22106863681803288,"score_spread":0.2161246167946618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892200077","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":[0.09585249,0.011874807,0.809174,0.0023911996,0.0009224489,0.00023252935,0.0003341516,0.0017593118,0.07745912],"genre_scores_gemma":[0.9013106,0.0054167174,0.078770205,0.0007770267,0.00035468978,0.00009316911,0.00033766282,0.0000931884,0.012846699],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997547,0.000039743336,0.000009076702,0.00004598649,0.000074562195,0.00007590406],"domain_scores_gemma":[0.9999206,0.000011203464,0.000014791986,0.000016215325,0.000025115914,0.000012013144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197128,0.0005906097,0.0002945755,0.0004918365,0.0005952051,0.0011067383,0.0007846622,0.00061484304,0.0028479197],"category_scores_gemma":[0.00023907222,0.00013905225,0.0002411208,0.00079059455,0.0004525738,0.001106875,0.0012136884,0.00048619744,0.0007008728],"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":[0.00023494351,0.000103155966,0.0025685674,0.00042727083,0.00006702246,0.0006782379,0.00029077966,0.039438315,0.080449745,0.20515692,0.029775528,0.64080954],"study_design_scores_gemma":[0.000044978635,0.0006197786,0.0043037925,0.00021865832,0.00011327001,0.0026297204,0.0006336611,0.45125586,0.05846378,0.081690416,0.39990816,0.000117870164],"about_ca_topic_score_codex":0.0014780443,"about_ca_topic_score_gemma":0.0019044444,"teacher_disagreement_score":0.0028479197,"about_ca_system_score_codex":0.000798733,"about_ca_system_score_gemma":0.0007687653,"threshold_uncertainty_score":0.009527206},"labels":[],"label_agreement":null},{"id":"W2896032744","doi":"10.1109/mvt.2018.2869425","title":"Signature-Based Nonorthogonal Massive Multiple Access for Future Wireless Networks: Uplink Massive Connectivity for Machine-Type Communications","year":2018,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":98,"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; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noma; Telecommunications link; Codebook; Computer science; Computer network; Scrambling; Signature (topology); Wireless; Throughput; Interleaving; Distributed computing; Real-time computing; Telecommunications; Algorithm","score_opus":0.01977306393938745,"score_gpt":0.2829975320960616,"score_spread":0.26322446815667416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896032744","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029408349,0.16138074,0.77813786,0.0023415794,0.0013110517,0.00014468755,0.00011435484,0.00047211407,0.026689276],"genre_scores_gemma":[0.519319,0.18452577,0.27137446,0.0012464907,0.0026623507,0.00033246758,0.0003620933,0.000096591415,0.020080762],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997731,0.00007316567,0.000015791602,0.00002640906,0.00009033866,0.00002127718],"domain_scores_gemma":[0.99963605,0.00012225457,0.000055055763,0.0000521946,0.000112492344,0.000021977185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040172564,0.0004124221,0.00042384677,0.0006491845,0.00037626197,0.0009343442,0.00048701983,0.0007370327,0.0012114656],"category_scores_gemma":[0.00079970324,0.00020849648,0.00022424954,0.0012598123,0.000460167,0.0011740173,0.0005487284,0.0008859209,0.0005746125],"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":[0.0001179483,0.000081674996,0.00089221547,0.0016042093,0.00006447347,0.000512805,0.0002544301,0.0230666,0.05203498,0.2177057,0.011927196,0.69173783],"study_design_scores_gemma":[0.000037923648,0.0011236691,0.0022146478,0.0006787532,0.00011588667,0.0032014933,0.00033030994,0.30162758,0.044453327,0.16290164,0.48311388,0.00020088989],"about_ca_topic_score_codex":0.0002626234,"about_ca_topic_score_gemma":0.00045820128,"teacher_disagreement_score":0.0012114656,"about_ca_system_score_codex":0.0003697958,"about_ca_system_score_gemma":0.00044400097,"threshold_uncertainty_score":0.004052758},"labels":[],"label_agreement":null},{"id":"W2907218180","doi":"10.1109/mvt.2018.2866306","title":"Noncoherent MIMO Signaling for Block-Fading Channels: Approaches and Challenges","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Techniques","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":"Fading; MIMO; Channel (broadcasting); Block (permutation group theory); Computer science; Wireless; Electronic engineering; Computer network; Telecommunications; Engineering; Mathematics","score_opus":0.03854059913892738,"score_gpt":0.23671262622388797,"score_spread":0.1981720270849606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907218180","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01662129,0.15061747,0.78756326,0.01798551,0.0011467388,0.0000837964,0.00016317738,0.00018268744,0.02563609],"genre_scores_gemma":[0.5011733,0.23285158,0.24251825,0.0032527589,0.006270888,0.0002763361,0.000251799,0.00009449931,0.013310611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99905914,0.0002877225,0.000043030006,0.00012424741,0.00041177694,0.000074212396],"domain_scores_gemma":[0.99685293,0.001864696,0.00017251326,0.0003568085,0.00065053074,0.00010250064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023759583,0.0005951251,0.0008309132,0.0007320222,0.0005979668,0.0022332985,0.0018005506,0.0021813638,0.0017595063],"category_scores_gemma":[0.0034496756,0.0005240571,0.00031193584,0.0013276101,0.0018834252,0.00370661,0.0013232083,0.0029214977,0.00080871675],"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":[0.000062132596,0.00012823187,0.00073700986,0.0008376062,0.000035295692,0.00019509906,0.00040602803,0.06530843,0.006117411,0.6453029,0.008728079,0.27214175],"study_design_scores_gemma":[0.000021651489,0.0001346917,0.00077430595,0.0003037076,0.000014575754,0.00047113592,0.0005095073,0.3777175,0.0030129962,0.5704148,0.046532966,0.000092117916],"about_ca_topic_score_codex":0.0012684134,"about_ca_topic_score_gemma":0.0012266611,"teacher_disagreement_score":0.0023759583,"about_ca_system_score_codex":0.0011998735,"about_ca_system_score_gemma":0.00089535495,"threshold_uncertainty_score":0.012565434},"labels":[],"label_agreement":null},{"id":"W2945176375","doi":"10.1109/mvt.2019.2908573","title":"Network Slicing and Intelligent Automation of Resources [From the Guest Editors]","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","funders":"","keywords":"Core network; Slicing; Software deployment; Computer science; Core (optical fiber); Radio access network; Base station; Computer network; Intelligent Network; Cellular network; Automation; Network packet; Telecommunications; Engineering; World Wide Web; Software engineering","score_opus":0.006787813776310587,"score_gpt":0.20414042682235997,"score_spread":0.1973526130460494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945176375","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":[0.0012356472,0.07534421,0.054908488,0.06959464,0.7215421,0.00006932751,0.00029812029,0.0009810159,0.07602646],"genre_scores_gemma":[0.020913862,0.08745975,0.027940983,0.02218858,0.6472529,0.00008742977,0.00051029416,0.00078086066,0.19286531],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991185,0.00010714774,0.00006510272,0.0002423223,0.00039683306,0.000070043534],"domain_scores_gemma":[0.9976624,0.00080429297,0.000117754855,0.00017099016,0.0010231992,0.00022142316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015171791,0.0010320329,0.0005526577,0.0012130707,0.0011058105,0.003949768,0.0011575194,0.0021338866,0.009255224],"category_scores_gemma":[0.004549339,0.00049842114,0.00049534894,0.0010174981,0.00137437,0.0036753016,0.00097213074,0.0040288083,0.0070196385],"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":[0.000040456373,0.000013933496,0.00011647553,0.000120159675,0.000012274884,0.0000949955,0.000040467065,0.00076960487,0.00065421616,0.024130667,0.8442222,0.12978451],"study_design_scores_gemma":[0.000005107671,0.000026953872,0.00016988437,0.00008534961,0.000009408476,0.00014788736,0.00002245837,0.0010681886,0.00042376097,0.009095615,0.9889255,0.000019834266],"about_ca_topic_score_codex":0.0017775199,"about_ca_topic_score_gemma":0.0037068075,"teacher_disagreement_score":0.009255224,"about_ca_system_score_codex":0.0009273889,"about_ca_system_score_gemma":0.0009807425,"threshold_uncertainty_score":0.030961812},"labels":[],"label_agreement":null},{"id":"W2957876937","doi":"10.1109/mvt.2019.2919279","title":"The D-OMA Method for Massive Multiple Access in 6G: Performance, Security, and Challenges","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":115,"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":"Noma; Telecommunications link; Computer science; Provisioning; Computer network; Transmission (telecommunications); Wireless; Scheme (mathematics); Physical layer; Wireless network; Telecommunications","score_opus":0.018165269300436347,"score_gpt":0.26764365340180657,"score_spread":0.24947838410137022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957876937","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021148695,0.013434133,0.9474254,0.0035236333,0.0004116448,0.00007984765,0.000047553014,0.0003336152,0.013595399],"genre_scores_gemma":[0.5561023,0.008971384,0.42808312,0.0011529877,0.00068260747,0.00016268146,0.00006414213,0.000072246214,0.0047085676],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987551,0.00055331056,0.000048177302,0.00010663412,0.00045775872,0.00007891976],"domain_scores_gemma":[0.99748516,0.0011470163,0.00016621745,0.00064709305,0.0004478922,0.00010648716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022507943,0.00062716415,0.0005997419,0.00064721075,0.00084678514,0.001620738,0.001031563,0.0010388285,0.001783017],"category_scores_gemma":[0.0029472036,0.00033104976,0.00035854513,0.0007372698,0.0012954281,0.002105617,0.0019487177,0.0021349012,0.000847491],"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":[0.0003411579,0.00013126787,0.0025368908,0.0005243789,0.000108590284,0.00029499887,0.00026909207,0.03645759,0.045199312,0.38217306,0.0062419707,0.5257217],"study_design_scores_gemma":[0.00008618601,0.000856107,0.0018654184,0.00030342338,0.00007299968,0.0031755648,0.00038690775,0.69554305,0.031601015,0.17391996,0.091991216,0.00019822866],"about_ca_topic_score_codex":0.0005962674,"about_ca_topic_score_gemma":0.00086692674,"teacher_disagreement_score":0.0022507943,"about_ca_system_score_codex":0.00056066585,"about_ca_system_score_gemma":0.00058803795,"threshold_uncertainty_score":0.011903465},"labels":[],"label_agreement":null},{"id":"W2961380111","doi":"10.1109/mvt.2019.2919236","title":"AI-Enabled Future Wireless Networks: Challenges, Opportunities, and Open Issues","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":153,"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":"Enabling; Wireless network; Wireless; Quality of service; Open research; Service (business); Radio resource management; Core network; Key (lock)","score_opus":0.020898468162305187,"score_gpt":0.24989562067539273,"score_spread":0.22899715251308755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961380111","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":[0.011960138,0.65599096,0.12979494,0.16280133,0.0032731437,0.000058838086,0.00016694362,0.0003670916,0.03558668],"genre_scores_gemma":[0.20629789,0.6934813,0.07059511,0.0076482496,0.012589733,0.00014803113,0.0002219728,0.000115373216,0.008902259],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99870217,0.00048148935,0.00007161715,0.00015918505,0.00045828006,0.00012727774],"domain_scores_gemma":[0.99162054,0.006436777,0.0002792605,0.00031286044,0.0010190347,0.00033156207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044269846,0.00055294385,0.00064723537,0.0013771174,0.0011600489,0.005114367,0.0019423919,0.003669619,0.0030106625],"category_scores_gemma":[0.005953247,0.0003990495,0.00037817092,0.0020075087,0.0032173602,0.014319339,0.002170121,0.0038676418,0.0010823321],"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":[0.000059408838,0.00015048472,0.0012496328,0.0016904274,0.000044650613,0.00016403853,0.00041955273,0.013712506,0.0012162642,0.339483,0.030013029,0.611797],"study_design_scores_gemma":[0.000014578292,0.00013662172,0.00091668527,0.001475452,0.000027316892,0.0004924899,0.002148303,0.0822429,0.001080505,0.68565387,0.22572699,0.00008443801],"about_ca_topic_score_codex":0.0009836485,"about_ca_topic_score_gemma":0.0010885311,"teacher_disagreement_score":0.005114367,"about_ca_system_score_codex":0.0011558358,"about_ca_system_score_gemma":0.00156983,"threshold_uncertainty_score":0.023412406},"labels":[],"label_agreement":null},{"id":"W2964334230","doi":"10.1109/mvt.2016.2645318","title":"Connected Vehicular Transportation: Data Analytics and Traffic-Dependent Networking","year":2017,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Vehicular Ad Hoc Networks (VANETs)","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":"Thompson Rivers University","funders":"National Natural Science Foundation of China","keywords":"Taxis; Intelligent transportation system; Computer science; Key (lock); Analytics; Service (business); Big data; Real-time data; Broadband; Computer network; Telecommunications; Transport engineering; Engineering; Computer security; Data science; World Wide Web","score_opus":0.024500212417990396,"score_gpt":0.24289116122348087,"score_spread":0.21839094880549048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964334230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040204,0.021676542,0.9100961,0.008059613,0.00078109704,0.00016065626,0.0011539838,0.0020917929,0.015776118],"genre_scores_gemma":[0.7723331,0.03250961,0.1821956,0.0009402577,0.0015494697,0.00019698171,0.0037569243,0.00030717548,0.0062108934],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993325,0.00015102165,0.000038404873,0.00013032918,0.00030762027,0.000040126088],"domain_scores_gemma":[0.9990532,0.0004151806,0.000103981016,0.000156908,0.00021752507,0.00005328709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078142155,0.0008145463,0.0005885207,0.0017639105,0.00045422174,0.002588606,0.0011443518,0.001004792,0.000615103],"category_scores_gemma":[0.0032675255,0.00044625284,0.00034603896,0.0031746605,0.0008026608,0.0032154492,0.0012301983,0.0010300218,0.00030945538],"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":[0.00015446427,0.00017647492,0.015672771,0.000580701,0.0001729766,0.0006086471,0.00048880157,0.238981,0.006380785,0.21033964,0.028910153,0.49753362],"study_design_scores_gemma":[0.000009256117,0.0000558029,0.0027495758,0.000117799944,0.000033412347,0.0004415276,0.00031864792,0.7524343,0.0028711017,0.18307123,0.05785454,0.000042776184],"about_ca_topic_score_codex":0.0045592524,"about_ca_topic_score_gemma":0.003257061,"teacher_disagreement_score":0.0045592524,"about_ca_system_score_codex":0.0009730848,"about_ca_system_score_gemma":0.0007616223,"threshold_uncertainty_score":0.009065449},"labels":[],"label_agreement":null},{"id":"W2981216466","doi":"10.1109/mvt.2019.2936087","title":"Transmission Protocol Customization for Network Slicing: A Case Study of Video Streaming","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Caching and Content Delivery","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":"Huawei Technologies (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Packet loss; Network traffic control; Scalable Video Coding; Network packet; Quality of experience; Cache; Linear network coding; Quality of service; Scalability; Operating system","score_opus":0.012269483658724694,"score_gpt":0.26018599820903143,"score_spread":0.24791651455030675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981216466","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":[0.8787283,0.0010448463,0.10784036,0.00064035703,0.00008044068,0.0003737812,0.00018017094,0.00036106753,0.010750633],"genre_scores_gemma":[0.96732146,0.00037450143,0.030341115,0.000057683716,0.00003137424,0.000055466164,0.00011502451,0.00005000472,0.0016532006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859864,0.0005885253,0.00007454596,0.0001433231,0.00038238813,0.00021267541],"domain_scores_gemma":[0.9950983,0.0030133717,0.00043621915,0.00056351256,0.00060454925,0.00028407056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002475305,0.0005481492,0.00038868884,0.0005015432,0.0013793587,0.0010580058,0.0012555035,0.0014785547,0.0010922904],"category_scores_gemma":[0.0054195924,0.00020419418,0.00042133767,0.00089072814,0.0009688658,0.0012547451,0.0005924795,0.0008801545,0.00011025546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015457319,0.0016572706,0.05958876,0.0010761669,0.00032580012,0.043459963,0.007694448,0.47931314,0.09665085,0.082099944,0.009675854,0.21691205],"study_design_scores_gemma":[0.00017973124,0.0020502566,0.014318416,0.0001415303,0.00022954855,0.012993671,0.005250917,0.8628093,0.05862974,0.014231302,0.029007662,0.00015785926],"about_ca_topic_score_codex":0.008437102,"about_ca_topic_score_gemma":0.008769923,"teacher_disagreement_score":0.008437102,"about_ca_system_score_codex":0.001276068,"about_ca_system_score_gemma":0.0008956754,"threshold_uncertainty_score":0.016775966},"labels":[],"label_agreement":null},{"id":"W2997842638","doi":"10.1109/mvt.2020.3017152","title":"Topology Optimization for 6G Networks: A Network Information-Theoretic Approach","year":2020,"lang":"en","type":"preprint","venue":"IEEE Vehicular Technology Magazine","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Network topology; Computer science; Interference (communication); Distributed computing; Software deployment; Computer network; Scheme (mathematics); Quality of service; Wireless network; Topology (electrical circuits); Radio resource management; Wireless; Telecommunications; Engineering; Channel (broadcasting); Mathematics","score_opus":0.007999407193165163,"score_gpt":0.21289633494446866,"score_spread":0.2048969277513035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997842638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010008804,0.004274413,0.9610092,0.0027486645,0.00018320838,0.000054441778,0.00014316315,0.000057834375,0.02152024],"genre_scores_gemma":[0.7456724,0.023118645,0.20730242,0.0010726601,0.0016109792,0.00033411031,0.00030137438,0.00015386108,0.020433603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994313,0.00025416148,0.000012862986,0.00005449568,0.00020814959,0.00003900481],"domain_scores_gemma":[0.9993963,0.00035914822,0.00007710445,0.000044116645,0.00008864864,0.000034731696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010038065,0.0009780132,0.0008925935,0.00084558496,0.0005374592,0.0018267984,0.0010002385,0.0013493598,0.0026459983],"category_scores_gemma":[0.002724344,0.00046232517,0.0006213916,0.0012246852,0.0012990211,0.0024571002,0.001188348,0.0015256649,0.0004145488],"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":[0.00002566119,0.000037620495,0.00023441164,0.00010321448,0.0000314642,0.00007964646,0.0000438388,0.7254606,0.00080842373,0.2497006,0.0026786905,0.020795856],"study_design_scores_gemma":[0.000005163153,0.00002865527,0.00015988587,0.000032661585,0.000007943217,0.000038529408,0.000027248736,0.8387635,0.00016111236,0.15713981,0.0036246842,0.000010835905],"about_ca_topic_score_codex":0.0019881849,"about_ca_topic_score_gemma":0.0020452023,"teacher_disagreement_score":0.0026459983,"about_ca_system_score_codex":0.0015853386,"about_ca_system_score_gemma":0.00089625036,"threshold_uncertainty_score":0.011502445},"labels":[],"label_agreement":null},{"id":"W3017186664","doi":"10.1109/mvt.2020.2980450","title":"Massive MIMO-Assisted Mobile Edge Computing: Exciting Possibilities for Computation Offloading","year":2020,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"IoT and Edge/Fog Computing","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":"Memorial University of Newfoundland; Université Laval","funders":"National Science Foundation","keywords":"MIMO; Mobile edge computing; Computer science; Energy consumption; Computation offloading; Enhanced Data Rates for GSM Evolution; Computation; 3G MIMO; Queueing theory; Queuing delay; Multi-user MIMO; Computer network; Edge computing; Distributed computing; Telecommunications; Engineering; Channel (broadcasting); Electrical engineering; Algorithm","score_opus":0.02504151537890024,"score_gpt":0.26692463954492834,"score_spread":0.2418831241660281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017186664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08161297,0.0053639007,0.874224,0.002426123,0.0010213151,0.00007721292,0.0001558257,0.0010420628,0.03407655],"genre_scores_gemma":[0.8861007,0.0027218903,0.1044066,0.00078366,0.00056885363,0.00004598818,0.00012970233,0.0000670942,0.0051756715],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99989307,0.000022364393,0.0000028985746,0.000017626686,0.0000367275,0.000027324473],"domain_scores_gemma":[0.9997961,0.00008413997,0.000013120198,0.000038016467,0.000040934767,0.000027775803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012906421,0.0005157898,0.00037364455,0.00019340652,0.00027057872,0.00065783237,0.0005237225,0.00036256277,0.0017913285],"category_scores_gemma":[0.00040922343,0.00012392981,0.00020355116,0.00036548267,0.00039213448,0.00089805014,0.00060560624,0.0006679062,0.00053088664],"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":[0.0006338842,0.00039454916,0.0034542426,0.00061404775,0.00015672918,0.001394191,0.00033382967,0.20033313,0.28024995,0.12743303,0.019996315,0.36500612],"study_design_scores_gemma":[0.000045672008,0.0003929257,0.0014056704,0.000070442926,0.000041323165,0.0005220309,0.00018798004,0.8590079,0.03944867,0.06985344,0.028967792,0.00005614673],"about_ca_topic_score_codex":0.00031461578,"about_ca_topic_score_gemma":0.0007426671,"teacher_disagreement_score":0.0017913285,"about_ca_system_score_codex":0.000161773,"about_ca_system_score_gemma":0.00015927613,"threshold_uncertainty_score":0.0059925914},"labels":[],"label_agreement":null},{"id":"W3040780676","doi":"10.1109/mvt.2020.3002522","title":"Detecting Fake Mobile Crowdsensing Tasks: Ensemble Methods Under Limited Data","year":2020,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Mobile Crowdsensing and Crowdsourcing","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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Istanbul Teknik Üniversitesi","keywords":"Boosting (machine learning); Computer science; AdaBoost; Leverage (statistics); Machine learning; Ensemble learning; Crowdsensing; Mobile device; Artificial intelligence; Classifier (UML); Data science; World Wide Web","score_opus":0.04844445269404901,"score_gpt":0.3109390353760782,"score_spread":0.2624945826820292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040780676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21626969,0.0009879785,0.7780903,0.0008378942,0.00020793383,0.0001619018,0.00014596539,0.00088751304,0.0024107948],"genre_scores_gemma":[0.9230836,0.00023672527,0.07432108,0.00021798423,0.00017918073,0.00008340708,0.00024346696,0.00004059443,0.0015940008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986129,0.0005752031,0.00007078611,0.00027551551,0.00029078155,0.00017468247],"domain_scores_gemma":[0.99507743,0.0025623078,0.0005066694,0.00068886473,0.0009250374,0.0002397305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038814757,0.0011420595,0.0016212813,0.0010070192,0.0007586483,0.00082823733,0.001260754,0.0012587785,0.00052007736],"category_scores_gemma":[0.009012785,0.0004108517,0.00072787976,0.0006878872,0.0007566077,0.0013134268,0.0013825683,0.0014491541,0.00034680017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005165949,0.00035025866,0.016645472,0.000108144646,0.00020418255,0.00016845118,0.00028619825,0.67413807,0.0061148303,0.0030824426,0.003032924,0.2953524],"study_design_scores_gemma":[0.000005726566,0.000046605543,0.0010017395,0.000005866249,0.000010663187,0.000017943275,0.00002114997,0.99647397,0.0006392326,0.0014985222,0.0002717473,0.0000069023554],"about_ca_topic_score_codex":0.0044852835,"about_ca_topic_score_gemma":0.003971368,"teacher_disagreement_score":0.0044852835,"about_ca_system_score_codex":0.0005793554,"about_ca_system_score_gemma":0.00085557497,"threshold_uncertainty_score":0.020527422},"labels":[],"label_agreement":null},{"id":"W3134847275","doi":"10.1109/mvt.2021.3057355","title":"Intracell Frequency Band Exiling for Green Wireless Networks: Implementation, Performance Metrics, and Use Cases","year":2021,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"Carleton University","funders":"","keywords":"Spectral efficiency; Base station; Computer science; Efficient energy use; Wireless; Energy consumption; Frequency band; Wireless network; Electronic engineering; Zoom; Radio spectrum; Real-time computing; Computer network; Telecommunications; Engineering; Electrical engineering; Bandwidth (computing)","score_opus":0.012505361122833094,"score_gpt":0.24056915847804142,"score_spread":0.22806379735520832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134847275","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":[0.5409143,0.0017229979,0.4421374,0.0004903893,0.000046869984,0.0001665434,0.00015863517,0.001019285,0.013343578],"genre_scores_gemma":[0.9667858,0.00030847988,0.032338444,0.000029390236,0.000009623302,0.00003674554,0.000048174043,0.000028428674,0.0004149871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913234,0.00031866963,0.00002979558,0.0000701611,0.00027824007,0.00017079456],"domain_scores_gemma":[0.9986473,0.00061342155,0.00014090839,0.00028177875,0.00024596357,0.00007063095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014646016,0.000791728,0.0003870211,0.00073275715,0.00040605853,0.0010488594,0.0007644799,0.00049519126,0.00090319716],"category_scores_gemma":[0.0032472105,0.00014827216,0.00024079732,0.00090469583,0.0005822828,0.001553074,0.0009317137,0.00054171385,0.00015102897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009274927,0.00045792953,0.024401713,0.00031971533,0.00008990094,0.0011021813,0.0003699433,0.48977926,0.050921388,0.04334426,0.0030504381,0.3852358],"study_design_scores_gemma":[0.000025561394,0.00040975315,0.004252737,0.000038884544,0.000056916433,0.00049119274,0.00021497333,0.93901837,0.044459555,0.008145997,0.002841209,0.000044813154],"about_ca_topic_score_codex":0.0025024023,"about_ca_topic_score_gemma":0.0030331581,"teacher_disagreement_score":0.0025024023,"about_ca_system_score_codex":0.00087060966,"about_ca_system_score_gemma":0.00038783107,"threshold_uncertainty_score":0.007745683},"labels":[],"label_agreement":null},{"id":"W3147278562","doi":"10.1109/mvt.2021.3063706","title":"Laser Intersatellite Links in a Starlink Constellation: A Classification and Analysis","year":2021,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":278,"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; Satellite constellation; Satellite; Computer science; Communications satellite; Remote sensing; Telecommunications; Aerospace engineering; Engineering; Physics; Geography; Astronomy","score_opus":0.013666270736758544,"score_gpt":0.23362604458700068,"score_spread":0.21995977385024212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147278562","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":[0.9695556,0.0011522769,0.01579507,0.00022925717,0.00003279443,0.00012850526,0.0014476413,0.00020401136,0.011454784],"genre_scores_gemma":[0.9895998,0.00064585503,0.0056415703,0.00003254145,0.00003885723,0.000050392624,0.0016144898,0.000024433904,0.0023520223],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918705,0.00006424871,0.000042384963,0.00010672675,0.0003665209,0.00023300396],"domain_scores_gemma":[0.99663144,0.0009645528,0.0009924774,0.00025146222,0.00087853265,0.00028141303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005432376,0.0003142887,0.00030263333,0.0046049887,0.0010334773,0.0014972306,0.00060248876,0.0005038182,0.0017211706],"category_scores_gemma":[0.0016620046,0.000110615394,0.00040697638,0.004240045,0.0005888832,0.0012523505,0.00071836717,0.00047806275,0.0006215788],"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":[0.0007165501,0.00061922823,0.60570455,0.0002857408,0.0001297374,0.0019236447,0.0009188059,0.1309656,0.020894283,0.022396287,0.007339166,0.20810632],"study_design_scores_gemma":[0.000050763196,0.0006791675,0.45285738,0.00010231775,0.00016530493,0.003792985,0.0026393607,0.48903215,0.012785294,0.010732847,0.027056394,0.00010606023],"about_ca_topic_score_codex":0.0054921466,"about_ca_topic_score_gemma":0.0055273063,"teacher_disagreement_score":0.0054921466,"about_ca_system_score_codex":0.0009213282,"about_ca_system_score_gemma":0.00059080584,"threshold_uncertainty_score":0.010920346},"labels":[],"label_agreement":null},{"id":"W3212545822","doi":"10.1109/mvt.2021.3121647","title":"LiFi through Reconfigurable Intelligent Surfaces: A New Frontier for 6G?","year":2021,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":131,"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; Agence Nationale de la Recherche; Royal Society","keywords":"Computer science; Architecture; Telecommunications; Wireless; Visible light communication; Systems engineering; Enhanced Data Rates for GSM Evolution; Engineering; Electrical engineering","score_opus":0.023135056572452888,"score_gpt":0.25483327622118035,"score_spread":0.23169821964872747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212545822","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09055485,0.055814646,0.65626615,0.011011333,0.0024701916,0.00014204928,0.0003967669,0.0045088185,0.17883526],"genre_scores_gemma":[0.80157197,0.02489303,0.1424785,0.00244479,0.000810831,0.00011855584,0.00035376247,0.00037107876,0.026957387],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997558,0.000037265407,0.0000069789626,0.000034856967,0.000113510905,0.00005159894],"domain_scores_gemma":[0.9997894,0.000049326958,0.000036463487,0.00005365749,0.00004470089,0.000026473037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034254938,0.00061627134,0.00044247636,0.00042203208,0.00035715464,0.0017485771,0.00086489914,0.0011294015,0.0033955232],"category_scores_gemma":[0.00046809844,0.00021996784,0.00027964226,0.00037802602,0.00082322175,0.0024442435,0.0011237802,0.0014467672,0.0014387675],"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":[0.00020248526,0.00010652978,0.002563578,0.000986607,0.00008261161,0.0006368486,0.00086404866,0.020991364,0.16398433,0.3557883,0.024590608,0.42920274],"study_design_scores_gemma":[0.00003390131,0.00071810535,0.0019101888,0.0003593862,0.00007982883,0.0014288587,0.00073761586,0.09979389,0.08102719,0.10610953,0.7076438,0.00015770063],"about_ca_topic_score_codex":0.00038080552,"about_ca_topic_score_gemma":0.000581661,"teacher_disagreement_score":0.0033955232,"about_ca_system_score_codex":0.0005892102,"about_ca_system_score_gemma":0.00030196382,"threshold_uncertainty_score":0.011359155},"labels":[],"label_agreement":null},{"id":"W4200515072","doi":"10.1109/mvt.2021.3116995","title":"6G Networks: Is This an Evolution or a Revolution? [From the Guest Editors]","year":2021,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Satellite Communication 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":"Exfo Electro-Optical Engineering (Canada)","funders":"","keywords":"Computer science; Cloud computing; Telecommunications; Leverage (statistics); Network architecture; Telecommunications network; Automation; Engineering; Computer network; Artificial intelligence","score_opus":0.015566760769377186,"score_gpt":0.23979864395690698,"score_spread":0.2242318831875298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200515072","genre_codex":"editorial","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003059691,0.0628206,0.0015124492,0.25835183,0.6396286,0.000035368776,0.00014775844,0.00021168064,0.036985774],"genre_scores_gemma":[0.0045079975,0.10394089,0.0015192974,0.14735767,0.6230882,0.00006758972,0.0001965487,0.00027279655,0.11904905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824905,0.0003190216,0.00011371758,0.00028509749,0.000770967,0.00026210138],"domain_scores_gemma":[0.9965029,0.0011775531,0.0001677662,0.00016050368,0.0014093419,0.0005819884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028351694,0.0012646563,0.00076920533,0.00092174363,0.0015079884,0.00820835,0.0016088102,0.0075603034,0.014837119],"category_scores_gemma":[0.0076068337,0.0003633023,0.0005925792,0.0009389382,0.0021422429,0.0082866,0.0014138031,0.012153969,0.012481938],"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":[0.0000069507078,0.000005992016,0.000026281652,0.000065610555,0.0000023413322,0.000040011382,0.000038245635,0.000056959638,0.00005507245,0.006242619,0.96896803,0.024491893],"study_design_scores_gemma":[0.0000017125961,0.000010409977,0.000055946704,0.00013790236,0.0000018098525,0.000059199403,0.00005664939,0.000047069367,0.00002187681,0.0023458216,0.9972535,0.000008014358],"about_ca_topic_score_codex":0.0029275154,"about_ca_topic_score_gemma":0.004522112,"teacher_disagreement_score":0.014837119,"about_ca_system_score_codex":0.0016837432,"about_ca_system_score_gemma":0.0021446876,"threshold_uncertainty_score":0.049635112},"labels":[],"label_agreement":null},{"id":"W4226204340","doi":"10.1109/mvt.2022.3158043","title":"Energy Consumption of a Battery Electric Vehicle in Winter Considering Preheating: Tradeoff Between Improved Performance and Total Energy Consumption","year":2022,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Electric Vehicles and Infrastructure","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":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy consumption; Automotive engineering; Battery (electricity); Range (aeronautics); Battery electric vehicle; Environmental science; Driving range; Electric vehicle; Energy (signal processing); Driving cycle; Total energy; Energy storage; Consumption (sociology); Engineering; Electrical engineering; Aerospace engineering; Power (physics)","score_opus":0.006761970559324606,"score_gpt":0.18953045296559667,"score_spread":0.18276848240627208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226204340","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":[0.993515,0.00014144494,0.0029444327,0.00004599465,0.00001032853,0.00000714163,0.00011481465,0.00005849893,0.0031624057],"genre_scores_gemma":[0.9991715,0.00004666326,0.0002120034,0.0000045780375,0.0000011296036,0.000003970956,0.00007154722,0.000008343155,0.00048021207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986815,0.000020584699,0.0000040731534,0.000019194955,0.000028975861,0.00005902727],"domain_scores_gemma":[0.9998549,0.00006402262,0.000013601518,0.000012100452,0.000038235852,0.00001712087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001724362,0.0005288964,0.00059509644,0.00031064072,0.00036007253,0.0007639818,0.0004017251,0.00056289334,0.0018916252],"category_scores_gemma":[0.00039444177,0.00018187049,0.00080793805,0.0004275479,0.00032889956,0.000658812,0.00028568457,0.0003130435,0.0003001507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004675892,0.00009255287,0.010288073,0.00009981179,0.00006364628,0.00041643932,0.0000854934,0.9643382,0.016768754,0.00046617643,0.00027358066,0.0066396734],"study_design_scores_gemma":[0.000052202708,0.0011308447,0.025395064,0.000024881621,0.00013984338,0.000265918,0.0004912854,0.94901043,0.021373212,0.00088538084,0.00118235,0.000048578433],"about_ca_topic_score_codex":0.010378931,"about_ca_topic_score_gemma":0.009230692,"teacher_disagreement_score":0.010378931,"about_ca_system_score_codex":0.00057996233,"about_ca_system_score_gemma":0.00044652753,"threshold_uncertainty_score":0.020637035},"labels":[],"label_agreement":null},{"id":"W4231866336","doi":"10.1109/mvt.2019.2919090","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Universität Kassel; National Cheng Kung University; Università di Pisa; National Taipei University of Technology; Universitetet i Oslo; Universitetet i Agder; La Trobe University; Politecnico di Torino; Conservatoire National des Arts et Métiers; Mälardalens högskola; Université de Sherbrooke","keywords":"Table (database); Computer science; Telecommunications; Engineering; Database","score_opus":0.020128355947302317,"score_gpt":0.1958558173209994,"score_spread":0.1757274613736971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231866336","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":[0.0005274463,0.0045112274,0.002796971,0.0038552107,0.011489316,0.0006060001,0.05399083,0.002169553,0.9200535],"genre_scores_gemma":[0.0021773763,0.0041727214,0.0016930349,0.0025645439,0.003068495,0.00042031647,0.038081292,0.0009497496,0.9468724],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999387,0.00007127733,0.000031860724,0.000099035264,0.00035599404,0.000054833003],"domain_scores_gemma":[0.9964641,0.00065291737,0.00013988133,0.00030663583,0.0019400357,0.00049637613],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00063495344,0.0010164585,0.0009289959,0.005221914,0.0015315461,0.0040928754,0.0013046551,0.00093182374,0.8400367],"category_scores_gemma":[0.007091068,0.00029123563,0.00053782464,0.0035173933,0.00032302816,0.0017932208,0.0015646098,0.0010885881,0.79994744],"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":[0.0000133265185,0.000023447257,0.00011980183,0.0001356668,0.0000030073513,0.000015612986,0.000009082532,0.00008506239,0.00011079361,0.0009798552,0.95231223,0.04619213],"study_design_scores_gemma":[0.0000050000085,0.000012015223,0.00032854592,0.00017848225,0.000003927199,0.000027671787,0.000022409959,0.00005206384,0.00009791414,0.0009582168,0.9983088,0.0000049081796],"about_ca_topic_score_codex":0.0049407696,"about_ca_topic_score_gemma":0.0070399824,"teacher_disagreement_score":0.15996331,"about_ca_system_score_codex":0.0016278876,"about_ca_system_score_gemma":0.0031058502,"threshold_uncertainty_score":0.22816825},"labels":[],"label_agreement":null},{"id":"W4233024475","doi":"10.1109/mvt.2013.2277956","title":"VTC2014-Fall","year":2013,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"University of Victoria; Telus (Canada); University of British Columbia","funders":"","keywords":"Engineering; Computer science; Telecommunications","score_opus":0.004413169639016631,"score_gpt":0.1822441841037308,"score_spread":0.17783101446471417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233024475","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":[0.008650075,0.0068725487,0.09629998,0.018230112,0.0653254,0.0026218283,0.052262418,0.029933877,0.71980375],"genre_scores_gemma":[0.014495132,0.0020808156,0.021986378,0.0021865256,0.0024408,0.00062331907,0.079717964,0.00531249,0.8711566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982083,0.00029051685,0.00007472234,0.00029875603,0.00080984004,0.000317847],"domain_scores_gemma":[0.9954839,0.0002509165,0.00006934965,0.0006734896,0.0024304115,0.0010920953],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039502573,0.002140531,0.001373832,0.0018738582,0.0023551448,0.006700409,0.0041958056,0.0034517418,0.24459815],"category_scores_gemma":[0.0049563013,0.0006013695,0.0010795057,0.001960913,0.0008380294,0.0038782049,0.0036231056,0.0028000746,0.24268526],"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":[0.0002385571,0.00014748184,0.00022464331,0.00012703707,0.000018978435,0.00007067488,0.00003122284,0.0009190335,0.0013167447,0.003278697,0.9343654,0.05926153],"study_design_scores_gemma":[0.000054362048,0.00008923043,0.00037875024,0.00009528316,0.000012674904,0.00007056601,0.000059743248,0.0026937074,0.001662011,0.0036436685,0.9912192,0.000020729223],"about_ca_topic_score_codex":0.022361154,"about_ca_topic_score_gemma":0.036733482,"teacher_disagreement_score":0.75540185,"about_ca_system_score_codex":0.002926455,"about_ca_system_score_gemma":0.0049117384,"threshold_uncertainty_score":0.81826234},"labels":[],"label_agreement":null},{"id":"W4240652057","doi":"10.1109/mvt.2019.2902768","title":"Table of contents","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","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":"Universität Kassel; National Cheng Kung University; Università di Pisa; National Taipei University of Technology; Universitetet i Oslo; Universitetet i Agder; La Trobe University; Politecnico di Torino; Conservatoire National des Arts et Métiers; Mälardalens högskola; Université de Sherbrooke","keywords":"Table (database); Computer science; Telecommunications; Engineering; Database","score_opus":0.011197564667247998,"score_gpt":0.22481702582331936,"score_spread":0.21361946115607136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240652057","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":[0.00052729005,0.0057363682,0.003201154,0.004262114,0.014982525,0.00066035613,0.039253075,0.0019359448,0.92944115],"genre_scores_gemma":[0.0019161254,0.0050079525,0.0018247233,0.0024794082,0.0034154998,0.00044058484,0.028666582,0.0007446167,0.95550436],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994215,0.000062231135,0.000031675074,0.00008750708,0.00034770006,0.00004948957],"domain_scores_gemma":[0.99634874,0.0005823522,0.00013723224,0.0002629163,0.0021659976,0.0005028537],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00061083183,0.0010112085,0.0009591349,0.005141225,0.001601408,0.0036076424,0.0013008416,0.0008676821,0.80585593],"category_scores_gemma":[0.006677829,0.00028180183,0.00048491565,0.0033788453,0.00030658636,0.001776089,0.0014333854,0.0010609663,0.7696074],"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":[0.00001528078,0.000027760792,0.00012598533,0.00016802202,0.0000030045826,0.000018964896,0.000008929766,0.00008249494,0.00014460829,0.000897776,0.941311,0.057196088],"study_design_scores_gemma":[0.00000469963,0.000013821797,0.00031832635,0.00019647274,0.000003863021,0.000031560267,0.000020557703,0.000046524125,0.00009926358,0.0007757627,0.99848455,0.0000046323808],"about_ca_topic_score_codex":0.0044748266,"about_ca_topic_score_gemma":0.0065125017,"teacher_disagreement_score":0.19414407,"about_ca_system_score_codex":0.0015043383,"about_ca_system_score_gemma":0.0031608995,"threshold_uncertainty_score":0.27692294},"labels":[],"label_agreement":null},{"id":"W4241872115","doi":"10.1109/mvt.2019.2936959","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Universität Kassel; National Cheng Kung University; Università di Pisa; National Taipei University of Technology; Universitetet i Oslo; Universitetet i Agder; La Trobe University; Politecnico di Torino; Conservatoire National des Arts et Métiers; Mälardalens högskola; Université de Sherbrooke","keywords":"Table (database); Computer science; Engineering; Telecommunications; Database","score_opus":0.020128355947302317,"score_gpt":0.1958558173209994,"score_spread":0.1757274613736971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241872115","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":[0.0005274463,0.0045112274,0.002796971,0.0038552107,0.011489316,0.0006060001,0.05399083,0.002169553,0.9200535],"genre_scores_gemma":[0.0021773763,0.0041727214,0.0016930349,0.0025645439,0.003068495,0.00042031647,0.038081292,0.0009497496,0.9468724],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999387,0.00007127733,0.000031860724,0.000099035264,0.00035599404,0.000054833003],"domain_scores_gemma":[0.9964641,0.00065291737,0.00013988133,0.00030663583,0.0019400357,0.00049637613],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00063495344,0.0010164585,0.0009289959,0.005221914,0.0015315461,0.0040928754,0.0013046551,0.00093182374,0.8400367],"category_scores_gemma":[0.007091068,0.00029123563,0.00053782464,0.0035173933,0.00032302816,0.0017932208,0.0015646098,0.0010885881,0.79994744],"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":[0.0000133265185,0.000023447257,0.00011980183,0.0001356668,0.0000030073513,0.000015612986,0.000009082532,0.00008506239,0.00011079361,0.0009798552,0.95231223,0.04619213],"study_design_scores_gemma":[0.0000050000085,0.000012015223,0.00032854592,0.00017848225,0.000003927199,0.000027671787,0.000022409959,0.00005206384,0.00009791414,0.0009582168,0.9983088,0.0000049081796],"about_ca_topic_score_codex":0.0049407696,"about_ca_topic_score_gemma":0.0070399824,"teacher_disagreement_score":0.15996331,"about_ca_system_score_codex":0.0016278876,"about_ca_system_score_gemma":0.0031058502,"threshold_uncertainty_score":0.22816825},"labels":[],"label_agreement":null},{"id":"W4243604447","doi":"10.1109/mvt.2018.2884000","title":"Staff Listing","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"","field":"","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":"National Cheng Kung University; Università di Pisa; Universitetet i Oslo; La Trobe University; Politecnico di Torino; McMaster University","keywords":"Business; Telecommunications; Engineering; Computer science","score_opus":0.009068510842966485,"score_gpt":0.2398550872614107,"score_spread":0.23078657641844422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243604447","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":[0.00067149877,0.001700379,0.0034159278,0.0063296515,0.011853432,0.0007793917,0.033398084,0.006340608,0.93551105],"genre_scores_gemma":[0.00080430513,0.0008140577,0.00086263096,0.0014322812,0.0010968937,0.00023858437,0.011801202,0.0010580557,0.98189205],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987174,0.00013816064,0.000068993126,0.00016242117,0.0007072061,0.00020587095],"domain_scores_gemma":[0.9900718,0.0008298734,0.00027143475,0.0006457697,0.0048931353,0.003287976],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019336324,0.0014625458,0.0018361589,0.005357111,0.002425401,0.005031865,0.0020049985,0.0017273608,0.9066842],"category_scores_gemma":[0.009991623,0.0007209597,0.0008620584,0.0034904645,0.00045045963,0.0027215043,0.002835694,0.0017886236,0.91058195],"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":[0.000020853513,0.00003094466,0.00007694949,0.00006206703,8.9973014e-7,0.000011983939,0.000005649729,0.000023918772,0.00011014866,0.0003456269,0.97385514,0.025455773],"study_design_scores_gemma":[0.000020184289,0.00003106041,0.00027542398,0.00008174879,0.0000023892467,0.000037682326,0.000033670283,0.00008467058,0.00016802196,0.00067790394,0.9985801,0.000007121418],"about_ca_topic_score_codex":0.0038868592,"about_ca_topic_score_gemma":0.0074255816,"teacher_disagreement_score":0.09331578,"about_ca_system_score_codex":0.0013177634,"about_ca_system_score_gemma":0.0057510124,"threshold_uncertainty_score":0.13310367},"labels":[],"label_agreement":null},{"id":"W4249139511","doi":"10.1109/mvt.2018.2885096","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"National Cheng Kung University; Università di Pisa; Universitetet i Oslo; La Trobe University; Politecnico di Torino; McMaster University","keywords":"Table (database); Telecommunications; Engineering; Computer science; Database","score_opus":0.020128355947302317,"score_gpt":0.1958558173209994,"score_spread":0.1757274613736971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249139511","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":[0.0005274463,0.0045112274,0.002796971,0.0038552107,0.011489316,0.0006060001,0.05399083,0.002169553,0.9200535],"genre_scores_gemma":[0.0021773763,0.0041727214,0.0016930349,0.0025645439,0.003068495,0.00042031647,0.038081292,0.0009497496,0.9468724],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999387,0.00007127733,0.000031860724,0.000099035264,0.00035599404,0.000054833003],"domain_scores_gemma":[0.9964641,0.00065291737,0.00013988133,0.00030663583,0.0019400357,0.00049637613],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00063495344,0.0010164585,0.0009289959,0.005221914,0.0015315461,0.0040928754,0.0013046551,0.00093182374,0.8400367],"category_scores_gemma":[0.007091068,0.00029123563,0.00053782464,0.0035173933,0.00032302816,0.0017932208,0.0015646098,0.0010885881,0.79994744],"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":[0.0000133265185,0.000023447257,0.00011980183,0.0001356668,0.0000030073513,0.000015612986,0.000009082532,0.00008506239,0.00011079361,0.0009798552,0.95231223,0.04619213],"study_design_scores_gemma":[0.0000050000085,0.000012015223,0.00032854592,0.00017848225,0.000003927199,0.000027671787,0.000022409959,0.00005206384,0.00009791414,0.0009582168,0.9983088,0.0000049081796],"about_ca_topic_score_codex":0.0049407696,"about_ca_topic_score_gemma":0.0070399824,"teacher_disagreement_score":0.15996331,"about_ca_system_score_codex":0.0016278876,"about_ca_system_score_gemma":0.0031058502,"threshold_uncertainty_score":0.22816825},"labels":[],"label_agreement":null},{"id":"W4249716660","doi":"10.1109/mvt.2020.2979098","title":"Table of Contents","year":2020,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Universität Kassel; National Cheng Kung University; Università di Pisa; National Taipei University of Technology; Universitetet i Oslo; Universitetet i Agder; La Trobe University; Politecnico di Torino; Conservatoire National des Arts et Métiers; Mälardalens högskola; Université de Sherbrooke","keywords":"Table (database); Engineering; Environmental science; Computer science; Telecommunications; Database","score_opus":0.03919071627145993,"score_gpt":0.20258539147048463,"score_spread":0.1633946751990247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249716660","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":[0.00050551596,0.0042770463,0.002689716,0.003833037,0.0114853345,0.0005922654,0.052106686,0.002188453,0.9223219],"genre_scores_gemma":[0.0020084481,0.003964096,0.0015933554,0.0026246228,0.0029819952,0.00040473972,0.035633273,0.0009561282,0.94983333],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993793,0.00007063206,0.000031293053,0.00010091999,0.00036197528,0.00005581943],"domain_scores_gemma":[0.9964728,0.0006414978,0.00013699813,0.00029972463,0.0019353109,0.0005137026],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00063548615,0.0010107654,0.00091860007,0.005072095,0.00154836,0.004151928,0.001296021,0.0009273907,0.84120804],"category_scores_gemma":[0.0071143014,0.0002925104,0.00053703395,0.0034622108,0.00032410753,0.0017903671,0.0015802708,0.0011012407,0.8065503],"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":[0.000012329978,0.00002251781,0.00011458205,0.00012761091,0.0000027801448,0.000014889909,0.00000880181,0.00007958256,0.00010468165,0.00093379314,0.95431715,0.04426141],"study_design_scores_gemma":[0.000004943498,0.00001161417,0.00031377122,0.00017282939,0.0000037087923,0.000026505,0.000022612801,0.000049366365,0.000092307346,0.0009228412,0.9983748,0.0000047292806],"about_ca_topic_score_codex":0.00496921,"about_ca_topic_score_gemma":0.0072582234,"teacher_disagreement_score":0.15879196,"about_ca_system_score_codex":0.0016274591,"about_ca_system_score_gemma":0.003185798,"threshold_uncertainty_score":0.22649747},"labels":[],"label_agreement":null},{"id":"W4281572726","doi":"10.1109/mvt.2022.3168944","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Xidian University; Institute of Electrical and Electronics Engineers; Lehigh University; Politecnico di Torino; National Taipei University of Technology; University of Ottawa; Mälardalens högskola; Chungnam National University; Université de Sherbrooke; Mississippi State University","keywords":"Table (database); Computer science; Engineering; Telecommunications; Database","score_opus":0.026437292630708605,"score_gpt":0.19945079328986898,"score_spread":0.17301350065916038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281572726","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":[0.00050528446,0.004250651,0.002715185,0.0038443627,0.0114405705,0.0006066034,0.054091435,0.0022050543,0.9203408],"genre_scores_gemma":[0.0020307954,0.003984963,0.0016250177,0.0026705689,0.0029969227,0.00041824652,0.036930695,0.0009632605,0.9483796],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993801,0.00007026602,0.000031484542,0.000100546466,0.0003616697,0.00005592247],"domain_scores_gemma":[0.9964484,0.0006518724,0.00013870934,0.00030436317,0.00194181,0.00051485485],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006375466,0.0010111146,0.0009302243,0.0051007573,0.0015643479,0.004164719,0.0013032785,0.00093171536,0.8417828],"category_scores_gemma":[0.007138347,0.00029612813,0.00053800613,0.003494298,0.0003261869,0.0017950501,0.0015814406,0.0011091391,0.80742425],"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":[0.000012300872,0.00002271975,0.00011435408,0.00012866694,0.0000027848782,0.00001479792,0.000008727284,0.0000803948,0.00010454525,0.0009358077,0.9549943,0.043580543],"study_design_scores_gemma":[0.0000049762484,0.00001165839,0.00031585866,0.00017300613,0.0000037113568,0.000026491678,0.000022503682,0.000049537783,0.00009271723,0.00092972774,0.9983651,0.0000047577614],"about_ca_topic_score_codex":0.0050399667,"about_ca_topic_score_gemma":0.0073117577,"teacher_disagreement_score":0.15821719,"about_ca_system_score_codex":0.0016410493,"about_ca_system_score_gemma":0.0032195158,"threshold_uncertainty_score":0.22567755},"labels":[],"label_agreement":null},{"id":"W4312036661","doi":"10.1109/mvt.2022.3221264","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Xidian University; Institute of Electrical and Electronics Engineers; Lehigh University; Politecnico di Torino; National Taipei University of Technology; University of Ottawa; Mälardalens högskola; Chungnam National University; Université de Sherbrooke; Mississippi State University","keywords":"Table (database); Computer science; Telecommunications; Engineering; Database","score_opus":0.026437292630708605,"score_gpt":0.19945079328986898,"score_spread":0.17301350065916038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312036661","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":[0.00050528446,0.004250651,0.002715185,0.0038443627,0.0114405705,0.0006066034,0.054091435,0.0022050543,0.9203408],"genre_scores_gemma":[0.0020307954,0.003984963,0.0016250177,0.0026705689,0.0029969227,0.00041824652,0.036930695,0.0009632605,0.9483796],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993801,0.00007026602,0.000031484542,0.000100546466,0.0003616697,0.00005592247],"domain_scores_gemma":[0.9964484,0.0006518724,0.00013870934,0.00030436317,0.00194181,0.00051485485],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006375466,0.0010111146,0.0009302243,0.0051007573,0.0015643479,0.004164719,0.0013032785,0.00093171536,0.8417828],"category_scores_gemma":[0.007138347,0.00029612813,0.00053800613,0.003494298,0.0003261869,0.0017950501,0.0015814406,0.0011091391,0.80742425],"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":[0.000012300872,0.00002271975,0.00011435408,0.00012866694,0.0000027848782,0.00001479792,0.000008727284,0.0000803948,0.00010454525,0.0009358077,0.9549943,0.043580543],"study_design_scores_gemma":[0.0000049762484,0.00001165839,0.00031585866,0.00017300613,0.0000037113568,0.000026491678,0.000022503682,0.000049537783,0.00009271723,0.00092972774,0.9983651,0.0000047577614],"about_ca_topic_score_codex":0.0050399667,"about_ca_topic_score_gemma":0.0073117577,"teacher_disagreement_score":0.15821719,"about_ca_system_score_codex":0.0016410493,"about_ca_system_score_gemma":0.0032195158,"threshold_uncertainty_score":0.22567755},"labels":[],"label_agreement":null},{"id":"W4322765180","doi":"10.1109/mvt.2023.3243360","title":"IEEE App","year":2023,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"Exfo Electro-Optical Engineering (Canada)","funders":"","keywords":"Telecommunications; Computer science; Engineering; Computer network","score_opus":0.00826518446611038,"score_gpt":0.21368515462900647,"score_spread":0.2054199701628961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322765180","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":[0.002423669,0.0051085795,0.037744083,0.0035084214,0.006926138,0.00034727604,0.0053736544,0.010175997,0.92839223],"genre_scores_gemma":[0.0106748305,0.003973002,0.00955537,0.0015895859,0.0009111647,0.00017435149,0.009725678,0.00071160507,0.96268433],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994917,0.00005645872,0.00002916519,0.00009016908,0.00026910994,0.00006335046],"domain_scores_gemma":[0.9990909,0.00008546898,0.00003667687,0.00020590257,0.00046140508,0.000119655466],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056679925,0.0010826435,0.00046542197,0.0015781845,0.00080072467,0.0028892749,0.00122815,0.0017303514,0.36800396],"category_scores_gemma":[0.001449306,0.00035632888,0.00036791997,0.0011818644,0.00028072894,0.0027005097,0.0019371427,0.0013276322,0.33935115],"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":[0.00006158742,0.00006673327,0.00037204364,0.00015301029,0.000013984145,0.00014189545,0.000048561342,0.0002478014,0.0023476148,0.007850199,0.70257026,0.2861263],"study_design_scores_gemma":[0.0000060411585,0.000016898486,0.00027769236,0.000051592386,0.000005028181,0.00013375742,0.000034386623,0.00088017544,0.0006124019,0.0018642023,0.99610966,0.0000080924565],"about_ca_topic_score_codex":0.002497911,"about_ca_topic_score_gemma":0.0031323289,"teacher_disagreement_score":0.63199604,"about_ca_system_score_codex":0.0004622622,"about_ca_system_score_gemma":0.0007021122,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4322765212","doi":"10.1109/mvt.2023.3238502","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Xidian University; Institute of Electrical and Electronics Engineers; Lehigh University; Politecnico di Torino; National Taipei University of Technology; University of Ottawa; Mälardalens högskola; Chungnam National University; Université de Sherbrooke; Mississippi State University","keywords":"Table (database); Computer science; Telecommunications; Engineering; Database","score_opus":0.035895913241766164,"score_gpt":0.21656331355433747,"score_spread":0.1806674003125713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322765212","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":[0.00050227385,0.004239436,0.002725677,0.0038341696,0.011427101,0.0005981363,0.05134094,0.0021788764,0.9231534],"genre_scores_gemma":[0.0020147914,0.003961696,0.0016013584,0.0026144898,0.0030092709,0.00040743203,0.035212513,0.000943392,0.9502351],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993849,0.0000694841,0.000031061878,0.000099298624,0.00035990565,0.000055297052],"domain_scores_gemma":[0.9964715,0.0006427193,0.00013744892,0.00030300612,0.0019338179,0.000511567],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006320604,0.0010072581,0.00092591054,0.005071912,0.0015551836,0.0041570454,0.0012947873,0.000931332,0.84050304],"category_scores_gemma":[0.0070661204,0.0002949096,0.0005349819,0.0034766279,0.00032476947,0.0017971616,0.0015795399,0.001108471,0.80591613],"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":[0.00001217471,0.000022608996,0.00011359972,0.00012695488,0.0000027504389,0.000014815186,0.000008641975,0.0000806259,0.00010592496,0.00093885773,0.9543951,0.04417801],"study_design_scores_gemma":[0.0000048995753,0.000011597765,0.00031447067,0.00017115778,0.000003676352,0.00002647428,0.00002220802,0.000050388004,0.000093344584,0.00092424016,0.9983728,0.000004723587],"about_ca_topic_score_codex":0.0050057033,"about_ca_topic_score_gemma":0.00727603,"teacher_disagreement_score":0.15949696,"about_ca_system_score_codex":0.001633666,"about_ca_system_score_gemma":0.0031994039,"threshold_uncertainty_score":0.22750306},"labels":[],"label_agreement":null},{"id":"W4366966556","doi":"10.1109/mvt.2023.3263334","title":"Dynamic Heterogeneous Redundancy-Based Joint Safety and Security for Connected Automated Vehicles: Preliminary Simulation and Field Test Results","year":2023,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Safety Systems Engineering in Autonomy","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":"Jiangsu Provincial Key Research and Development Program; National Natural Science Foundation of China","keywords":"Redundancy (engineering); Executor; Functional safety; Computer science; Vulnerability (computing); Computer security; Fail-safe; Reliability engineering; Engineering; Computer network","score_opus":0.008394012647142431,"score_gpt":0.23352665937077335,"score_spread":0.22513264672363092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366966556","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":[0.95284814,0.00018437384,0.040282376,0.0001401789,0.000050489867,0.00020745806,0.0001657983,0.00082403666,0.005297299],"genre_scores_gemma":[0.9972664,0.000026259246,0.0021950856,0.0000064981377,0.000001523872,0.00003190672,0.00004201357,0.00000675809,0.00042340506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968207,0.00008184166,0.000012742856,0.000036363108,0.00011159151,0.00007539721],"domain_scores_gemma":[0.99854076,0.0005726182,0.00016529477,0.00016414832,0.00041199487,0.00014521876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079387246,0.0007425963,0.00050990056,0.000700813,0.00031802533,0.00033098948,0.0009673411,0.0005535313,0.002288769],"category_scores_gemma":[0.0012704906,0.00016397989,0.00038942898,0.00029558715,0.00073276757,0.00054268003,0.00040822208,0.00038604555,0.00018865097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054397166,0.00039596015,0.0045662182,0.00023766913,0.00006620598,0.00029992088,0.00013208095,0.9590548,0.015660387,0.0013034922,0.0008926887,0.016846675],"study_design_scores_gemma":[0.00012203387,0.0013817511,0.0014619379,0.000010982199,0.000033782744,0.00004529507,0.00007894676,0.986845,0.009023994,0.0005180376,0.0004637034,0.000014539673],"about_ca_topic_score_codex":0.006892027,"about_ca_topic_score_gemma":0.004642179,"teacher_disagreement_score":0.006892027,"about_ca_system_score_codex":0.0008525581,"about_ca_system_score_gemma":0.00055652077,"threshold_uncertainty_score":0.013703823},"labels":[],"label_agreement":null},{"id":"W4377728059","doi":"10.1109/mvt.2023.3265797","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Xidian University; Institute of Electrical and Electronics Engineers; Lehigh University; Politecnico di Torino; National Taipei University of Technology; University of Ottawa; Mälardalens högskola; Chungnam National University; Université de Sherbrooke; Mississippi State University","keywords":"Engineering; Telecommunications; Computer science","score_opus":0.035895913241766164,"score_gpt":0.21656331355433747,"score_spread":0.1806674003125713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377728059","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":[0.00050227385,0.004239436,0.002725677,0.0038341696,0.011427101,0.0005981363,0.05134094,0.0021788764,0.9231534],"genre_scores_gemma":[0.0020147914,0.003961696,0.0016013584,0.0026144898,0.0030092709,0.00040743203,0.035212513,0.000943392,0.9502351],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993849,0.0000694841,0.000031061878,0.000099298624,0.00035990565,0.000055297052],"domain_scores_gemma":[0.9964715,0.0006427193,0.00013744892,0.00030300612,0.0019338179,0.000511567],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006320604,0.0010072581,0.00092591054,0.005071912,0.0015551836,0.0041570454,0.0012947873,0.000931332,0.84050304],"category_scores_gemma":[0.0070661204,0.0002949096,0.0005349819,0.0034766279,0.00032476947,0.0017971616,0.0015795399,0.001108471,0.80591613],"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":[0.00001217471,0.000022608996,0.00011359972,0.00012695488,0.0000027504389,0.000014815186,0.000008641975,0.0000806259,0.00010592496,0.00093885773,0.9543951,0.04417801],"study_design_scores_gemma":[0.0000048995753,0.000011597765,0.00031447067,0.00017115778,0.000003676352,0.00002647428,0.00002220802,0.000050388004,0.000093344584,0.00092424016,0.9983728,0.000004723587],"about_ca_topic_score_codex":0.0050057033,"about_ca_topic_score_gemma":0.00727603,"teacher_disagreement_score":0.15949696,"about_ca_system_score_codex":0.001633666,"about_ca_system_score_gemma":0.0031994039,"threshold_uncertainty_score":0.22750306},"labels":[],"label_agreement":null},{"id":"W4386634498","doi":"10.1109/mvt.2023.3306552","title":"Wireless-Powered Interference Networks: Applications, Approaches, and Challenges","year":2023,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"University of British Columbia","funders":"National Research Foundation of Korea","keywords":"Wireless; Interference (communication); Telecommunications; Computer science; Wireless network; Computer network; Radio resource management; Engineering; Channel (broadcasting)","score_opus":0.029027554557049733,"score_gpt":0.21104762399237068,"score_spread":0.18202006943532095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386634498","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":[0.0074505894,0.5613999,0.35586715,0.017500032,0.0021912307,0.00008358523,0.0000782016,0.00028559897,0.055143803],"genre_scores_gemma":[0.17779855,0.7013354,0.09715987,0.0027495543,0.005020587,0.00018038898,0.00013563827,0.0000812246,0.015538754],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939275,0.00019374525,0.000032160322,0.00007991763,0.00025021404,0.00005125759],"domain_scores_gemma":[0.9990435,0.0005243376,0.000070066526,0.00008595356,0.00021903405,0.000057143512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011909232,0.0006744983,0.00063710107,0.00090171397,0.0006601142,0.0028392542,0.0017218761,0.0017682768,0.0012372496],"category_scores_gemma":[0.0013977668,0.00042585656,0.0003244445,0.0018641771,0.0016846227,0.00416816,0.0015216765,0.0025057003,0.00066381716],"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":[0.0000389949,0.00011152707,0.0014622111,0.0016235105,0.00005041807,0.00047558817,0.0004197275,0.045092806,0.0028562096,0.4544523,0.02439487,0.46902186],"study_design_scores_gemma":[0.000007536269,0.00012672115,0.000778861,0.0012015185,0.000038486814,0.002135878,0.0011446725,0.1453324,0.002317184,0.48570544,0.36111414,0.00009711221],"about_ca_topic_score_codex":0.00080870104,"about_ca_topic_score_gemma":0.001240119,"teacher_disagreement_score":0.0028392542,"about_ca_system_score_codex":0.0010325803,"about_ca_system_score_gemma":0.00070050085,"threshold_uncertainty_score":0.0074918866},"labels":[],"label_agreement":null},{"id":"W4390331433","doi":"10.1109/mvt.2023.3315464","title":"Don't Forget to Renew Your Membership!","year":2023,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","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":"Government of Canada","keywords":"Telecommunications; Computer science; Business; Engineering; Computer security","score_opus":0.03285501628998224,"score_gpt":0.31860236213524684,"score_spread":0.2857473458452646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390331433","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":[0.0021797575,0.0028483525,0.0028477279,0.38166744,0.4448044,0.00019220046,0.00014491721,0.0012832703,0.16403188],"genre_scores_gemma":[0.006181017,0.0015275514,0.0011132341,0.111377,0.045829322,0.0001582165,0.00012161473,0.0004765313,0.8332156],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978264,0.00030607037,0.00007536112,0.0002543023,0.0011267685,0.00041097007],"domain_scores_gemma":[0.9845761,0.0009230426,0.0004030508,0.00059174385,0.005607388,0.007898712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029795552,0.0010054508,0.0009987658,0.00083880505,0.0056384695,0.009684817,0.0012235962,0.0063597006,0.17897217],"category_scores_gemma":[0.0162893,0.00048921385,0.00067255023,0.0005567908,0.0016352384,0.005497363,0.003691848,0.011481806,0.21910663],"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":[0.00002144096,0.00007722607,0.0002627,0.000028269345,0.0000035200476,0.000051225063,0.00009343455,0.000013484666,0.00014567259,0.0006468613,0.97633535,0.022320792],"study_design_scores_gemma":[0.000011956219,0.00004333038,0.00070027955,0.000063323234,0.000004063269,0.00006745862,0.0008630191,0.000047636513,0.000059894315,0.00061583857,0.9975084,0.000014721457],"about_ca_topic_score_codex":0.0023455701,"about_ca_topic_score_gemma":0.0068164067,"teacher_disagreement_score":0.8210278,"about_ca_system_score_codex":0.00082495797,"about_ca_system_score_gemma":0.0026710555,"threshold_uncertainty_score":0.59872156},"labels":[],"label_agreement":null},{"id":"W4394805428","doi":"10.1109/mvt.2024.3383654","title":"Integrated Sensing and Communication Channel Modeling and Measurements: <i>Requirements and Methodologies Toward 6G Standardization</i>","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced MIMO Systems Optimization","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":"Huawei Technologies (Canada)","funders":"","keywords":"Standardization; Channel (broadcasting); Systems engineering; Telecommunications; Computer science; Engineering","score_opus":0.058721564643693686,"score_gpt":0.28972111466527445,"score_spread":0.23099955002158076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394805428","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":[0.0022048468,0.00030365112,0.995023,0.0002704368,0.000051755826,0.00002915227,0.00007429852,0.0001788416,0.0018640859],"genre_scores_gemma":[0.42502192,0.0034012068,0.56507945,0.0006040605,0.0005359759,0.000395026,0.00074360316,0.0002307959,0.0039880313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966208,0.0012586701,0.00015744912,0.0004799679,0.0012855115,0.00019762768],"domain_scores_gemma":[0.99638087,0.0011293439,0.0005604278,0.0008117442,0.0010121613,0.000105556595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031700947,0.0012680275,0.0009173493,0.0009010302,0.00046462144,0.0025442468,0.0014393766,0.0013155944,0.0011153575],"category_scores_gemma":[0.005919556,0.0005948945,0.00073874916,0.001334282,0.001379781,0.0038024904,0.0017950833,0.0020539097,0.00055114744],"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":[0.00013167506,0.00014395462,0.0032603738,0.00040223094,0.00011493701,0.0001523743,0.0002223421,0.4081785,0.01680864,0.3595212,0.0052087563,0.205855],"study_design_scores_gemma":[0.00000811838,0.00006272444,0.0007793388,0.00006922176,0.000022477881,0.00011209183,0.00007499276,0.931766,0.0051469095,0.05310746,0.008811107,0.000039539325],"about_ca_topic_score_codex":0.0033629076,"about_ca_topic_score_gemma":0.0023472793,"teacher_disagreement_score":0.0033629076,"about_ca_system_score_codex":0.0012467989,"about_ca_system_score_gemma":0.0027971512,"threshold_uncertainty_score":0.016765237},"labels":[],"label_agreement":null},{"id":"W4396909788","doi":"10.1109/mvt.2024.3392450","title":"A Hardware-Oriented Design Approach for Light Electric Vehicles: Onboard State-of-Charge Estimation","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Battery Technologies Research","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":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"State (computer science); State of charge; Engineering; Charge (physics); Estimation; Computer science; Embedded system; Electrical engineering; Computer hardware; Telecommunications; Systems engineering; Power (physics); Battery (electricity)","score_opus":0.014589233410038798,"score_gpt":0.2563965368337949,"score_spread":0.2418073034237561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396909788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055193077,0.00025473456,0.98691815,0.0001477594,0.00006161362,0.00012198006,0.00003899022,0.0007340418,0.006203521],"genre_scores_gemma":[0.6032586,0.00093484955,0.38453746,0.00029841028,0.00009631047,0.00040406286,0.00020715951,0.00031558756,0.009947607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992899,0.00015378752,0.000038358216,0.0001064064,0.0003572299,0.000054298474],"domain_scores_gemma":[0.9993543,0.00017225234,0.00009344937,0.00007374413,0.00028436224,0.000021948123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071529683,0.0011395339,0.00053695927,0.0008330497,0.00043498032,0.0018693643,0.0014389176,0.00068750547,0.0041156616],"category_scores_gemma":[0.0016930584,0.00052503607,0.0006988837,0.00035759923,0.00042666277,0.0011326488,0.00068424566,0.0010507496,0.0011839827],"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":[0.0001604063,0.00015959637,0.0025626915,0.00068695634,0.00012892942,0.00027976476,0.00039034963,0.6342763,0.03642819,0.027606651,0.0029640337,0.29435617],"study_design_scores_gemma":[0.000025678037,0.00033758924,0.0008077103,0.00013358504,0.00008503021,0.00019689772,0.00009482404,0.9554135,0.017390436,0.008284827,0.0171958,0.000034235083],"about_ca_topic_score_codex":0.0032568753,"about_ca_topic_score_gemma":0.005283321,"teacher_disagreement_score":0.0041156616,"about_ca_system_score_codex":0.0007234515,"about_ca_system_score_gemma":0.0010977864,"threshold_uncertainty_score":0.013768315},"labels":[],"label_agreement":null},{"id":"W4399304205","doi":"10.1109/mvt.2024.3390888","title":"Special Issue on Integrated Sensing and Communications [From the Guest Editors]","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"Huawei Technologies (Canada); Memorial University of Newfoundland","funders":"","keywords":"Telecommunications; Computer science; Engineering; Systems engineering","score_opus":0.01021787841934225,"score_gpt":0.23683696096080378,"score_spread":0.22661908254146154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399304205","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":[0.000112957394,0.022929141,0.0009026746,0.01273577,0.9332234,0.00007191803,0.00018060992,0.00016730886,0.029676285],"genre_scores_gemma":[0.000912894,0.024414694,0.00061194185,0.0077972785,0.8878837,0.00007096494,0.00021514515,0.00017557995,0.07791785],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975272,0.00020971139,0.00021842375,0.0004652227,0.0013491637,0.00023025527],"domain_scores_gemma":[0.99197876,0.0013224218,0.00048852887,0.00035624896,0.004392305,0.0014617278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002380112,0.0034755887,0.002692412,0.0035146517,0.002028662,0.008706234,0.0028299126,0.00605483,0.07195373],"category_scores_gemma":[0.0066142054,0.0008769359,0.0015867499,0.002427152,0.001361726,0.0046666088,0.0018651055,0.008416224,0.07312193],"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":[0.000023166582,0.000021380578,0.00004958198,0.00017919912,0.000008179704,0.000061566985,0.00000792439,0.00006756758,0.0001791195,0.0010557655,0.97662395,0.02172251],"study_design_scores_gemma":[0.0000067400815,0.000031534277,0.00016465224,0.00015172396,0.0000082978295,0.00015054237,0.00001103058,0.00011614101,0.00008264569,0.0007698498,0.99849606,0.0000107804335],"about_ca_topic_score_codex":0.001524139,"about_ca_topic_score_gemma":0.0030220628,"teacher_disagreement_score":0.07195373,"about_ca_system_score_codex":0.0018557806,"about_ca_system_score_gemma":0.0024189844,"threshold_uncertainty_score":0.24070919},"labels":[],"label_agreement":null},{"id":"W4400526331","doi":"10.1109/mvt.2024.3415570","title":"Reconfigurable Intelligent Surfaces for 6G: Emerging Hardware Architectures, Applications, and Open Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":161,"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; HORIZON EUROPE Framework Programme; Deutsche Forschungsgemeinschaft; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; National Natural Science Foundation of China; Canada Research Chairs; Agency for Science, Technology and Research","keywords":"Embedded system; Computer architecture; Computer science; Field-programmable gate array; Engineering; Computer hardware","score_opus":0.0259460479790319,"score_gpt":0.28240163711942395,"score_spread":0.25645558914039207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400526331","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16947202,0.26914248,0.3774112,0.013606462,0.0023549323,0.00017527553,0.00040594442,0.002566179,0.16486555],"genre_scores_gemma":[0.71852845,0.09519256,0.16703957,0.001502317,0.0008443594,0.00014737887,0.0003545778,0.00026711845,0.016123675],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996555,0.00005818328,0.000013083993,0.00004359522,0.00018192588,0.000047605343],"domain_scores_gemma":[0.9997625,0.00009916273,0.000031006595,0.000044616932,0.00004136506,0.000021428068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000499898,0.0005040072,0.00035357708,0.0005332393,0.0003019794,0.0016966655,0.00062920514,0.0011088797,0.0025029525],"category_scores_gemma":[0.0005688133,0.0002697277,0.00032150306,0.00046131446,0.0007717711,0.0019172081,0.0007962066,0.0012408964,0.00087006274],"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":[0.00016579908,0.000092654416,0.0016309589,0.0020411205,0.00006181351,0.00053175504,0.0005300867,0.017732354,0.25608608,0.27968162,0.0118639795,0.42958167],"study_design_scores_gemma":[0.000038413295,0.001005473,0.0024031082,0.0005123199,0.00008209573,0.0020529034,0.00084423134,0.06673374,0.14408547,0.09751842,0.6845796,0.00014421433],"about_ca_topic_score_codex":0.0001762628,"about_ca_topic_score_gemma":0.00033702652,"teacher_disagreement_score":0.0025029525,"about_ca_system_score_codex":0.0005227993,"about_ca_system_score_gemma":0.00021885635,"threshold_uncertainty_score":0.008373201},"labels":[],"label_agreement":null},{"id":"W4402570951","doi":"10.1109/mvt.2024.3439896","title":"The IEEE Vehicular Technology Society: A Brief History","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"History of Computing 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 British Columbia","funders":"","keywords":"Telecommunications; Engineering; Computer science; Systems engineering","score_opus":0.011880194184621785,"score_gpt":0.22669789730693687,"score_spread":0.2148177031223151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402570951","genre_codex":"review","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":[0.001970079,0.61021745,0.020772602,0.05612015,0.07827999,0.00021880584,0.0012407028,0.0007006038,0.23047958],"genre_scores_gemma":[0.023890125,0.7238407,0.008815698,0.010583097,0.027938616,0.00020534307,0.0020524685,0.00044333187,0.20223059],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982231,0.00034404697,0.00023098112,0.00020275614,0.00084548665,0.00015364944],"domain_scores_gemma":[0.9945233,0.0010732079,0.0002437873,0.00030902156,0.0034024804,0.0004482733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028754373,0.0009591705,0.00079844834,0.0049828133,0.0011626701,0.0050735055,0.0009943893,0.0025526881,0.017443808],"category_scores_gemma":[0.005086498,0.0006250371,0.0004380619,0.007505468,0.0011093519,0.0042448933,0.0014549403,0.0042839283,0.020787014],"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":[0.00005513473,0.000050469323,0.0007994349,0.0011194418,0.000029030947,0.00012645982,0.00015659982,0.0006011014,0.0009262068,0.01871958,0.5500749,0.42734167],"study_design_scores_gemma":[0.0000013766872,0.000021085043,0.0001902403,0.00026370218,0.000008260431,0.00008173344,0.00004321347,0.00007569402,0.00020468282,0.0013453659,0.9977539,0.000010794809],"about_ca_topic_score_codex":0.004195973,"about_ca_topic_score_gemma":0.004379348,"teacher_disagreement_score":0.017443808,"about_ca_system_score_codex":0.002710647,"about_ca_system_score_gemma":0.0031621633,"threshold_uncertainty_score":0.05835533},"labels":[],"label_agreement":null},{"id":"W4405361773","doi":"10.1109/mvt.2024.3468128","title":"The Evolution of Automotive Software: From Safety to Quality and Security [Automotive Electronics]","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Automotive industry; Automotive electronics; Electronics; Software; Quality (philosophy); Engineering; Manufacturing engineering; Computer science; Electrical engineering; Operating system","score_opus":0.004998687425138096,"score_gpt":0.2236658435685457,"score_spread":0.21866715614340762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405361773","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07004678,0.2646801,0.30031335,0.07126308,0.010189096,0.000075303746,0.00033898238,0.0020153779,0.2810779],"genre_scores_gemma":[0.6515241,0.13948517,0.08737427,0.005904531,0.0045787445,0.000069571055,0.00074335135,0.0009400301,0.10938016],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909556,0.00020506675,0.000072972936,0.00011973605,0.00044599271,0.000060584618],"domain_scores_gemma":[0.9974286,0.00086282124,0.00013310484,0.00022138414,0.001253662,0.00010037205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013621347,0.00033110846,0.00019770989,0.0013987256,0.0007246127,0.0033131312,0.00066123344,0.0013971167,0.0019481212],"category_scores_gemma":[0.0049163434,0.00046616636,0.00023052671,0.0019964133,0.0026075433,0.0038483504,0.0005679506,0.0015676946,0.00048571153],"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":[0.00004523106,0.000038936207,0.0024203332,0.0002807075,0.00002869766,0.00020868615,0.0014710791,0.0058168825,0.0037904603,0.36398378,0.089538015,0.5323772],"study_design_scores_gemma":[0.000012768643,0.000093978066,0.008399644,0.0005543995,0.000071836126,0.0007098493,0.0007418848,0.026815785,0.0049220966,0.15657322,0.8010531,0.00005142408],"about_ca_topic_score_codex":0.017363066,"about_ca_topic_score_gemma":0.021761516,"teacher_disagreement_score":0.017363066,"about_ca_system_score_codex":0.0016323925,"about_ca_system_score_gemma":0.0015076208,"threshold_uncertainty_score":0.034524024},"labels":[],"label_agreement":null},{"id":"W4407026409","doi":"10.1109/mvt.2025.3531346","title":"Exploring the 6G Potentials: Immersive, Hyperreliable, and Low-Latency Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"Carleton University","funders":"","keywords":"Computer science; Telecommunications; Human–computer interaction","score_opus":0.013828781751632171,"score_gpt":0.21725726774971058,"score_spread":0.2034284859980784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407026409","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18724117,0.015349135,0.6420667,0.006659045,0.00049446453,0.00013246716,0.00011189139,0.00083766074,0.14710748],"genre_scores_gemma":[0.85295415,0.015828235,0.11394914,0.00092302426,0.00041576297,0.000091773145,0.000100431826,0.00005929503,0.015678272],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997842,0.00006657356,0.0000058787355,0.000022819215,0.000071056194,0.000049573246],"domain_scores_gemma":[0.9997869,0.00009082575,0.000023346702,0.000019791993,0.00004033779,0.000038811864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034232723,0.00040125777,0.00015985811,0.00021518914,0.00045380907,0.0015272747,0.00048377368,0.0006845412,0.0022522716],"category_scores_gemma":[0.0004569902,0.00017004822,0.00020732608,0.00023406706,0.0006627426,0.0021260118,0.0008211304,0.0007376081,0.00046828613],"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":[0.00037231328,0.00013427279,0.0035223872,0.00055242464,0.000045159104,0.0010893084,0.0023674308,0.014431371,0.15871108,0.3571156,0.006203524,0.45545518],"study_design_scores_gemma":[0.00009449175,0.002048333,0.005727783,0.00061890384,0.00017641803,0.005931436,0.0047425837,0.16984871,0.118246615,0.22494645,0.4674065,0.00021176766],"about_ca_topic_score_codex":0.0005565876,"about_ca_topic_score_gemma":0.0012540024,"teacher_disagreement_score":0.0022522716,"about_ca_system_score_codex":0.00029503112,"about_ca_system_score_gemma":0.0003150378,"threshold_uncertainty_score":0.007534623},"labels":[],"label_agreement":null},{"id":"W4408223429","doi":"10.1109/mvt.2024.3520296","title":"Standards and New Projects in Review in December 2024 [Standards]","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Academic Writing and Publishing","field":"Arts and Humanities","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":"Huawei Technologies (Canada)","funders":"","keywords":"Engineering; Engineering management; Telecommunications; Construction engineering; Systems engineering; Computer science; Business","score_opus":0.019844657349249152,"score_gpt":0.28584325668834254,"score_spread":0.26599859933909337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408223429","genre_codex":"review","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":[0.0015461132,0.42950338,0.007947847,0.11922775,0.37498382,0.0009559817,0.002570943,0.0008977184,0.062366366],"genre_scores_gemma":[0.011249305,0.5565458,0.013964523,0.107550025,0.061114985,0.0012860919,0.008715385,0.0007200993,0.23885381],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903618,0.0013510773,0.0014937437,0.00039180287,0.0056083547,0.0007932457],"domain_scores_gemma":[0.9667162,0.0035052092,0.0021960763,0.0006546747,0.024346178,0.0025817992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013068454,0.0014289703,0.0018555508,0.007752587,0.0015720594,0.006414974,0.0024109327,0.0062003573,0.015112257],"category_scores_gemma":[0.025579557,0.00092785823,0.0014159482,0.005501262,0.0015589352,0.0058718175,0.003656414,0.005954449,0.012537226],"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":[0.000094923715,0.000057842553,0.00018462105,0.0021776853,0.00004372606,0.00012006774,0.00011304142,0.00012976589,0.0010351035,0.0037947658,0.8361235,0.15612505],"study_design_scores_gemma":[0.00001405831,0.00005018277,0.00021395544,0.0012163239,0.00003564707,0.00006129885,0.000059222923,0.000032482356,0.00034144934,0.0008197102,0.99714273,0.000012928637],"about_ca_topic_score_codex":0.0072762533,"about_ca_topic_score_gemma":0.017900068,"teacher_disagreement_score":0.015112257,"about_ca_system_score_codex":0.0036381448,"about_ca_system_score_gemma":0.027782058,"threshold_uncertainty_score":0.06911343},"labels":[],"label_agreement":null},{"id":"W4408235931","doi":"10.1109/mvt.2024.3524126","title":"March 2025 Land Transportation News [Transportation Systems]","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Transportation Safety and Impact Analysis","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":"Hatch (Canada)","funders":"","keywords":"Transport engineering; Intelligent transportation system; Telecommunications; Land use; Business; Advanced Traffic Management System; Environmental planning; Computer science; Engineering; Environmental science; Civil engineering","score_opus":0.006340545077992073,"score_gpt":0.2262077609714067,"score_spread":0.21986721589341465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408235931","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":[0.0026544097,0.0037978846,0.0010287828,0.08768711,0.14983383,0.00016259114,0.011828323,0.0018639452,0.7411431],"genre_scores_gemma":[0.0046113725,0.0012931525,0.00026815067,0.012071452,0.0069327196,0.000037374863,0.0041608023,0.00021144417,0.9704137],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951255,0.00003374582,0.000015094438,0.000038965263,0.00029803865,0.00010162192],"domain_scores_gemma":[0.9990363,0.00008068943,0.000046771973,0.000038082286,0.00062868535,0.00016947743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069674075,0.0009454416,0.0005214096,0.0013767305,0.0020051454,0.0057431874,0.00070063,0.0044622202,0.16924359],"category_scores_gemma":[0.0025481016,0.00033807594,0.0005922441,0.0011505564,0.00037113574,0.0013542358,0.00081282697,0.0034045295,0.106633864],"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":[0.000018140969,0.0000078142775,0.000058867052,0.00001499827,0.0000014376171,0.000024869083,0.00000463224,0.000024163299,0.000039809038,0.00039646652,0.9949438,0.004465058],"study_design_scores_gemma":[0.000008013947,0.000012108561,0.0007126125,0.000034816876,0.0000041372314,0.00000898315,0.00003279338,0.00010073925,0.00006713369,0.00026175115,0.9987527,0.000004242668],"about_ca_topic_score_codex":0.04090285,"about_ca_topic_score_gemma":0.13562043,"teacher_disagreement_score":0.16924359,"about_ca_system_score_codex":0.002199419,"about_ca_system_score_gemma":0.002963233,"threshold_uncertainty_score":0.5661762},"labels":[],"label_agreement":null},{"id":"W4410770572","doi":"10.1109/mvt.2025.3552887","title":"Autonomous Vehicles: The Critical Role of Vehicle Sensors [Automotive Electronics]","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Automotive industry; Automotive electronics; Electronics; Vehicle safety; Automotive engineering; Engineering; Computer science; Electrical engineering; Aerospace engineering","score_opus":0.0032103080584546546,"score_gpt":0.21479696231496193,"score_spread":0.21158665425650727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410770572","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055860416,0.7099117,0.12227221,0.028567588,0.024279762,0.000063431144,0.0003594925,0.0007726036,0.10818711],"genre_scores_gemma":[0.16332234,0.59269226,0.06405657,0.0130351875,0.023730058,0.00008966085,0.00086085254,0.00041004657,0.141803],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944264,0.000090021604,0.000034408888,0.000098096614,0.00030283534,0.000031968175],"domain_scores_gemma":[0.9987332,0.00046033293,0.000049798284,0.000063146406,0.0006358964,0.000057593523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024279,0.0006826037,0.0004912592,0.0010050045,0.00045688066,0.0025821847,0.00086511835,0.0022885283,0.0056096055],"category_scores_gemma":[0.0013235732,0.00046431922,0.0002351116,0.0015300479,0.0015739924,0.0036030759,0.00062858686,0.0019362688,0.0021818713],"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":[0.00010086515,0.000043130254,0.0009091198,0.0010911685,0.000054649812,0.00018288565,0.00024277759,0.00434318,0.00772351,0.19119003,0.26287484,0.5312439],"study_design_scores_gemma":[0.000007685027,0.00010118377,0.0008106908,0.0002989117,0.000032457534,0.0003598626,0.00015682055,0.006838668,0.0020886017,0.041035872,0.94823945,0.000029784507],"about_ca_topic_score_codex":0.0026819266,"about_ca_topic_score_gemma":0.0063521713,"teacher_disagreement_score":0.0056096055,"about_ca_system_score_codex":0.000730893,"about_ca_system_score_gemma":0.0008093578,"threshold_uncertainty_score":0.018765986},"labels":[],"label_agreement":null},{"id":"W4410770648","doi":"10.1109/mvt.2025.3557222","title":"Integrating Generative Artificial Intelligence Into Future Internet of Vehicles [From the Guest Editors]","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"The Internet; Engineering; Internet of Things; Computer science; Telecommunications; Artificial intelligence; Human–computer interaction; World Wide Web","score_opus":0.009811566739533834,"score_gpt":0.23380260829499935,"score_spread":0.2239910415554655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410770648","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062337364,0.1992771,0.18167643,0.15297575,0.21395704,0.00009294979,0.00025245378,0.0017990533,0.2437355],"genre_scores_gemma":[0.16862316,0.21649048,0.08708809,0.029352542,0.20981252,0.00016051496,0.0006803213,0.0015878695,0.28620443],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950266,0.00015640374,0.00002902854,0.000075020645,0.00020226892,0.000034537694],"domain_scores_gemma":[0.99841046,0.00095741317,0.000042023716,0.00009390608,0.00041055543,0.00008569348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014901182,0.00051315344,0.00038421626,0.0007790835,0.00064774294,0.0050492794,0.0010504854,0.0022580104,0.0058509815],"category_scores_gemma":[0.0033508025,0.0003551568,0.00037502561,0.0008646181,0.0018901575,0.0041036243,0.0010267509,0.003326667,0.0021060992],"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":[0.00002990286,0.00003847359,0.00023566652,0.00032062933,0.000028703296,0.00020914011,0.00039602336,0.006402324,0.0009324677,0.2628129,0.52512306,0.20347074],"study_design_scores_gemma":[0.000005001505,0.000014172991,0.000106947395,0.0001239618,0.0000133044305,0.00011080245,0.0001234585,0.005900705,0.00058805256,0.090079345,0.90291464,0.000019584486],"about_ca_topic_score_codex":0.0021489493,"about_ca_topic_score_gemma":0.004181543,"teacher_disagreement_score":0.0058509815,"about_ca_system_score_codex":0.0009116434,"about_ca_system_score_gemma":0.0006257694,"threshold_uncertainty_score":0.01957345},"labels":[],"label_agreement":null},{"id":"W4414404962","doi":"10.1109/mvt.2025.3601761","title":"Frequency Modulated Continuous Wave Millimeter-Wave Radar for Vehicular In-Cabin Sensing: Child Presence Detection and Beyond","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","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":"Western University; Emmanuel Bible College","funders":"","keywords":"Radar; Key (lock); Software; Wireless; Man-portable radar; Antenna (radio); Continuous wave; Radar engineering details; Signal processing; Continuous-wave radar","score_opus":0.009490874116412936,"score_gpt":0.20821885107569205,"score_spread":0.1987279769592791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414404962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039930686,0.006915101,0.9393383,0.0011655081,0.00021523656,0.00005029593,0.0000642841,0.0006525456,0.01166801],"genre_scores_gemma":[0.69980645,0.00885828,0.27845353,0.0006364087,0.00024755645,0.000095166666,0.00016864986,0.00007774287,0.011656161],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998272,0.000041217976,0.0000050241747,0.000026714852,0.00008176093,0.000018151575],"domain_scores_gemma":[0.99985886,0.00004617648,0.000023599647,0.0000147951505,0.00004566646,0.000010922845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026259787,0.00035826,0.00018551845,0.00022793743,0.00010538796,0.00053003494,0.0005318135,0.0005433868,0.0009549819],"category_scores_gemma":[0.0003681117,0.00014063947,0.00014106672,0.00020174126,0.00019952357,0.0004543852,0.00036042408,0.00034767148,0.00048911176],"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":[0.0002371215,0.00009223764,0.0052614957,0.00081338093,0.000043938762,0.00032225647,0.00043135887,0.029494477,0.33171302,0.038225405,0.00599809,0.5873672],"study_design_scores_gemma":[0.000032997235,0.0013682134,0.008632078,0.000346333,0.00007939758,0.0018890926,0.0003016607,0.5549711,0.2644484,0.011774325,0.15606593,0.0000904366],"about_ca_topic_score_codex":0.00057913014,"about_ca_topic_score_gemma":0.0007495772,"teacher_disagreement_score":0.0009549819,"about_ca_system_score_codex":0.00022827412,"about_ca_system_score_gemma":0.00024024877,"threshold_uncertainty_score":0.0031947494},"labels":[],"label_agreement":null},{"id":"W4414603650","doi":"10.1109/mvt.2025.3608414","title":"Adaptive Contextual Caching for Mobile-Edge Large Language Model Service: A Proposed Framework","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":2,"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":"Ministry of Education, India; Queen's University; Queen's University Belfast","keywords":"Cache; Smart Cache; Cache algorithms; Scalability; Cache invalidation; Latency (audio); Overhead (engineering); False sharing","score_opus":0.011127065270141106,"score_gpt":0.2684412493718088,"score_spread":0.2573141841016677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414603650","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":[0.035545636,0.0017011934,0.9383373,0.0010017715,0.0001365348,0.00038541408,0.0007052054,0.018026685,0.00416021],"genre_scores_gemma":[0.6677473,0.0007087064,0.3242942,0.00062401086,0.00012955768,0.00032778975,0.0016914267,0.0004343289,0.004042644],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993268,0.00015608018,0.000057101202,0.0001446256,0.00016762549,0.00014785817],"domain_scores_gemma":[0.998912,0.0002064512,0.00006401125,0.0003786944,0.00032826388,0.00011045963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097093766,0.00081864005,0.0011452618,0.0008308352,0.00076794124,0.0015291302,0.0028338092,0.001129945,0.0019179098],"category_scores_gemma":[0.0028820098,0.00031537047,0.0006280036,0.0011445186,0.0006060526,0.002782814,0.0021095523,0.0010791118,0.00096011505],"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":[0.0012101192,0.0009977072,0.009521315,0.00056670373,0.0003008768,0.001426872,0.00085860724,0.24773185,0.042305928,0.072935134,0.063363455,0.5587813],"study_design_scores_gemma":[0.000027284708,0.00005059904,0.00022273984,0.000010708491,0.000039014347,0.00014052099,0.00007240606,0.9839246,0.003253406,0.0071329894,0.0050942693,0.00003136694],"about_ca_topic_score_codex":0.026871843,"about_ca_topic_score_gemma":0.0332884,"teacher_disagreement_score":0.026871843,"about_ca_system_score_codex":0.0014533043,"about_ca_system_score_gemma":0.0034792868,"threshold_uncertainty_score":0.053430855},"labels":[],"label_agreement":null},{"id":"W6941267428","doi":"10.1109/mvt.2025.3579515","title":"AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","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":"National Key Research and Development Program of China; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Handover; Mobility management; Train; Wireless; Event (particle physics); Scheme (mathematics); Compressed sensing; Soft handover","score_opus":0.02145642036870569,"score_gpt":0.2554005010754522,"score_spread":0.23394408070674652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6941267428","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":[0.06326688,0.0006635373,0.93293625,0.0005679534,0.000097583805,0.00003842706,0.000048017893,0.0002740355,0.0021072272],"genre_scores_gemma":[0.9368455,0.00039381016,0.061574873,0.0001305067,0.00009095122,0.00003706184,0.00007938204,0.0000125463675,0.0008354543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996706,0.000074504744,0.000017581751,0.00006393511,0.00012833597,0.000044969813],"domain_scores_gemma":[0.9992465,0.00030534883,0.00016238699,0.00009088372,0.00014707382,0.000047823254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004139839,0.00042094823,0.00025954001,0.00036149527,0.00035709728,0.00046737544,0.0006585816,0.00058910437,0.0003852366],"category_scores_gemma":[0.0016364473,0.00013160554,0.00020031577,0.00043056798,0.0004685194,0.0010518478,0.0007365843,0.00068594626,0.00012509227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003946859,0.00020819879,0.0050599207,0.00016727904,0.00007137653,0.00026107128,0.00036858022,0.45070964,0.120762624,0.017863432,0.002387522,0.40174568],"study_design_scores_gemma":[0.000008061615,0.00008153924,0.0009919512,0.000006284634,0.0000072756125,0.000057820584,0.000048037964,0.99070203,0.0053926078,0.002032172,0.00065873546,0.0000134278325],"about_ca_topic_score_codex":0.002452763,"about_ca_topic_score_gemma":0.0023196342,"teacher_disagreement_score":0.002452763,"about_ca_system_score_codex":0.00041431334,"about_ca_system_score_gemma":0.00054456503,"threshold_uncertainty_score":0.004877031},"labels":[],"label_agreement":null}]}