{"meta":{"query_hash":"3cfac4259dfa","filters":{"venue":"IEEE Journal on Selected Areas in Communications"},"cohort_total":384,"direct_labels_cover":0,"predictions_cover":384,"exported":384,"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/3cfac4259dfa","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Journal+on+Selected+Areas+in+Communications"},"results":[{"id":"W1497754119","doi":"10.1109/jsac.2015.2435451","title":"Stochastic Geometric Analysis of User Mobility in Heterogeneous Wireless Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Bell Canada Enterprises","keywords":"Computer science; Handover; Wireless network; Computer network; Stochastic geometry; Correctness; Network topology; Overhead (engineering); Wireless; Heterogeneous network; Randomness; Mobility model; Distributed computing; Algorithm; Telecommunications","score_opus":0.06691783397807413,"score_gpt":0.3370538354872839,"score_spread":0.2701360015092098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497754119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5478785,0.0015625817,0.4484548,0.0011661734,0.00016312701,0.00039331333,0.0000060772463,0.00007151947,0.00030389059],"genre_scores_gemma":[0.9941773,0.0009635013,0.0046477276,0.00007461096,0.000025506763,0.000059077178,0.000016904462,0.000017594433,0.000017787672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99520224,0.0020443457,0.0011402067,0.00032873015,0.0007680126,0.0005164383],"domain_scores_gemma":[0.99136406,0.0023506067,0.00050609314,0.0042158347,0.0012555756,0.0003078003],"candidate_categories":["bibliometrics","open_science"],"consensus_categories":[],"category_scores_codex":[0.0026163051,0.00021376544,0.0006100903,0.0036429116,0.00018507439,0.00017502705,0.0065166256,0.00016688315,0.000009375942],"category_scores_gemma":[0.00059365237,0.0002127765,0.00015884239,0.021888122,0.00019360952,0.00040948793,0.0007644729,0.0017308441,0.0000066588836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003977623,0.0011387804,0.014101066,0.0000023238404,0.00020596762,0.0000071586583,0.00039907306,0.9758408,0.000030381148,0.0010281315,0.00015230582,0.00705425],"study_design_scores_gemma":[0.0006278055,0.00011545385,0.058789916,0.00007128362,0.000040468047,0.000029387676,0.000037388614,0.9396508,0.00003702204,0.00032287397,0.000091579976,0.00018605657],"about_ca_topic_score_codex":0.00019460001,"about_ca_topic_score_gemma":0.0019567835,"teacher_disagreement_score":0.44629878,"about_ca_system_score_codex":0.0007059091,"about_ca_system_score_gemma":0.00048850436,"threshold_uncertainty_score":0.99890214},"labels":[],"label_agreement":null},{"id":"W1505562276","doi":"10.1109/jsac.2015.2432513","title":"Physical-Layer Security for MISO Visible Light Communication Channels","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":259,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; McMaster University","keywords":"Computer science; Transmitter; Visible light communication; Beamforming; Physical layer; Channel (broadcasting); Secure transmission; Secrecy; Computer network; Transmission (telecommunications); Telecommunications; Topology (electrical circuits); Wireless; Computer security; Electrical engineering; Physics; Light-emitting diode; Optics; Engineering","score_opus":0.05083687756006165,"score_gpt":0.32233816584297315,"score_spread":0.2715012882829115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505562276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8494331,0.014800296,0.03239514,0.031034892,0.0016384813,0.0048234076,0.00019640857,0.0049900073,0.06068826],"genre_scores_gemma":[0.9869585,0.0025571738,0.009561969,0.00017149372,0.00015766783,0.00037413053,0.00008424408,0.00009084197,0.00004394538],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977908,0.0005365899,0.00070715416,0.00018861426,0.00035335752,0.000423498],"domain_scores_gemma":[0.9946915,0.00079636683,0.00023335432,0.0030375258,0.0009734479,0.0002678188],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009498384,0.00030837764,0.0004310681,0.00051407726,0.00039215444,0.00021112288,0.0028497472,0.00019864342,0.000008252218],"category_scores_gemma":[0.00036122178,0.00032976863,0.000137508,0.0011575249,0.00010994763,0.00051237305,0.00018517819,0.001549572,0.000039118113],"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":[0.0005850846,0.010236392,0.0019460283,0.0003010917,0.0011539329,0.000014792128,0.081748076,0.07515912,0.053896617,0.105916046,0.64538884,0.023653956],"study_design_scores_gemma":[0.0043375846,0.00062471256,0.00062440697,0.0010848836,0.00012096374,0.00017779172,0.0012044868,0.43822518,0.085465,0.11311844,0.35326904,0.0017474978],"about_ca_topic_score_codex":0.000023992721,"about_ca_topic_score_gemma":0.00014764442,"teacher_disagreement_score":0.36306608,"about_ca_system_score_codex":0.0005782861,"about_ca_system_score_gemma":0.00015427261,"threshold_uncertainty_score":0.9999154},"labels":[],"label_agreement":null},{"id":"W1529380551","doi":"10.1109/jsac.2015.2435358","title":"Analysis of <inline-formula> <tex-math notation=\"LaTeX\">$K$</tex-math></inline-formula>-Tier Uplink Cellular Networks With Ambient RF Energy Harvesting","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic geometry; Computer science; Telecommunications link; Energy harvesting; Cellular network; Queueing theory; Power control; Markov chain; Poisson point process; Energy (signal processing); Poisson distribution; Computer network; Mathematics; Power (physics); Statistics","score_opus":0.020896397374887653,"score_gpt":0.24970872858679832,"score_spread":0.22881233121191066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529380551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2477004,0.0033422194,0.745228,0.00026706295,0.0005849698,0.0006735091,0.00008046221,0.00050653156,0.0016168857],"genre_scores_gemma":[0.9476913,0.0018460009,0.048463624,0.00008794625,0.00029393693,0.00012619667,0.00086227397,0.00023208935,0.00039661318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99435407,0.00047376862,0.0026234197,0.00058157207,0.0009745914,0.0009925987],"domain_scores_gemma":[0.9920265,0.00077187933,0.0014902615,0.0025292416,0.0025992703,0.00058281753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013268898,0.0008387348,0.0013720741,0.0018211534,0.000631787,0.00026856828,0.0017092563,0.00049746956,0.00001904435],"category_scores_gemma":[0.00053383363,0.0008023267,0.00034815838,0.0061848974,0.00018946326,0.0010979255,0.00019621481,0.0014748501,0.000019432122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008569116,0.00039742354,0.0010878335,0.00003829396,0.0010497451,0.000020772251,0.0009907021,0.9817269,0.008878114,0.0032542525,0.0002688769,0.0022014063],"study_design_scores_gemma":[0.0016944703,0.00023322894,0.0012169726,0.00064397475,0.000753948,0.00010911625,0.00010132562,0.987729,0.0014636301,0.00014948728,0.0050872583,0.0008175474],"about_ca_topic_score_codex":0.0000959483,"about_ca_topic_score_gemma":0.0021772098,"teacher_disagreement_score":0.6999909,"about_ca_system_score_codex":0.0012201074,"about_ca_system_score_gemma":0.00043052578,"threshold_uncertainty_score":0.99944276},"labels":[],"label_agreement":null},{"id":"W1566257247","doi":"10.1109/jsac.2015.2435391","title":"HetHetNets: Heterogeneous Traffic Distribution in Heterogeneous Wireless Cellular Networks","year":2015,"lang":"en","type":"preprint","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heterogeneous network; Computer science; Poisson distribution; Base station; Wireless network; Spatial correlation; Cellular network; Moment (physics); Spatial heterogeneity; User equipment; Wireless; Computer network; Statistics; Telecommunications; Mathematics","score_opus":0.0258876139237047,"score_gpt":0.2655454055180485,"score_spread":0.2396577915943438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566257247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6433154,0.017159315,0.33284646,0.0002512119,0.0030359752,0.00187289,0.00028449873,0.00086569134,0.00036860065],"genre_scores_gemma":[0.99030435,0.0065924465,0.0012818081,0.000023514278,0.00026266812,0.00019802479,0.0011633968,0.00015997518,0.000013836352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99634963,0.00080902904,0.0014517488,0.00040231558,0.0003435572,0.0006437376],"domain_scores_gemma":[0.99650055,0.00025978943,0.0004729869,0.001994562,0.0005152025,0.00025692],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006622261,0.00059458,0.00077460194,0.00053941377,0.00018660155,0.00018389663,0.0016532668,0.0007639822,0.000008769571],"category_scores_gemma":[0.000108298955,0.00068280945,0.00016581548,0.000996852,0.00009083328,0.00016291943,0.00024010881,0.0039388817,0.000014579559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033005374,0.00022615492,0.00010410819,0.000040603907,0.00007940352,0.000059432114,0.00029005212,0.99584866,0.00015212533,0.000013301137,0.00032366507,0.002829467],"study_design_scores_gemma":[0.00073430187,0.00006388724,0.000048972477,0.0010157767,0.000036974503,0.0003067195,0.000031724852,0.9958327,0.0004188328,0.00026306097,0.0006346222,0.0006124578],"about_ca_topic_score_codex":0.000026224589,"about_ca_topic_score_gemma":0.0008460346,"teacher_disagreement_score":0.34698898,"about_ca_system_score_codex":0.0026927972,"about_ca_system_score_gemma":0.00023484563,"threshold_uncertainty_score":0.9995623},"labels":[],"label_agreement":null},{"id":"W1588488887","doi":"10.1109/jsac.2015.2435291","title":"Revisiting Scheduling in Heterogeneous Networks When the Backhaul Is Limited","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Backhaul (telecommunications); Computer science; Bottleneck; Scheduling (production processes); Distributed computing; Computer network; Base station; Fair-share scheduling; Dynamic priority scheduling; Mathematical optimization; Quality of service; Mathematics","score_opus":0.04321998608898445,"score_gpt":0.280571984972502,"score_spread":0.23735199888351757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588488887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3710006,0.023828473,0.5875662,0.006439341,0.0015763445,0.0015176634,0.000015896305,0.00076993974,0.0072855814],"genre_scores_gemma":[0.98404336,0.0016178917,0.0138178,0.00020532832,0.00020192444,0.000030685154,0.000013077203,0.000051719762,0.000018240718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984042,0.00036681377,0.0006375576,0.000119962,0.00016504465,0.00030638892],"domain_scores_gemma":[0.99814254,0.00040762147,0.00016500635,0.0008780639,0.00029785655,0.00010892702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065863645,0.00017135114,0.00022122565,0.00026021604,0.0001798622,0.00010820595,0.0007948488,0.00011551589,0.000008298687],"category_scores_gemma":[0.00031431398,0.00015206434,0.000044023156,0.0009917592,0.000035275094,0.00022677549,0.000055588756,0.0012405248,0.000014991458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009272696,0.000025081805,0.0013904916,0.000004162568,0.000021217716,0.000005537547,0.0008736893,0.9948551,0.00010372157,0.0000453718,0.0002726398,0.0023937114],"study_design_scores_gemma":[0.0004988021,0.000021474401,0.00033624575,0.0004491697,0.000009953501,0.00017115721,0.00021303374,0.99649316,0.00013855966,0.0003324108,0.0011588384,0.00017717102],"about_ca_topic_score_codex":0.0000136327835,"about_ca_topic_score_gemma":0.00014896912,"teacher_disagreement_score":0.6130428,"about_ca_system_score_codex":0.00048139007,"about_ca_system_score_gemma":0.000061213505,"threshold_uncertainty_score":0.6201004},"labels":[],"label_agreement":null},{"id":"W1686478837","doi":"10.1109/jsac.2015.2430280","title":"Localization and Location Verification in Non-Homogeneous One-Dimensional Wireless Ad-Hoc Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Wireless ad hoc network; Poisson distribution; Aloha; Hop (telecommunications); Node (physics); Fading; Independent and identically distributed random variables; Range (aeronautics); Probability density function; Wireless network; Wireless sensor network; Wireless; Computer network; Algorithm; Topology (electrical circuits); Random variable; Mathematics; Statistics; Telecommunications; Throughput","score_opus":0.02498286785264181,"score_gpt":0.2506566063966716,"score_spread":0.22567373854402978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1686478837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69863653,0.009728153,0.28761104,0.0010559313,0.000735354,0.0007231937,0.0000089542755,0.0006295213,0.00087130856],"genre_scores_gemma":[0.9936397,0.004747383,0.0013037847,0.000091815215,0.0000424207,0.00005923339,0.00006883954,0.000036628895,0.000010184637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869144,0.00015290339,0.0005251702,0.00015568761,0.00022977017,0.0002450297],"domain_scores_gemma":[0.9985396,0.0001385232,0.000115851195,0.0005650803,0.0005391748,0.00010175483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039438158,0.00017179402,0.00020855047,0.0005036462,0.00015883287,0.00007545952,0.00042154887,0.00022145096,0.0000046600894],"category_scores_gemma":[0.00017579572,0.00018871817,0.00001864415,0.0017291438,0.00009521815,0.00022387206,0.000042358864,0.00067923515,0.000010505652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055325097,0.00019796964,0.0044452073,0.000014732553,0.000024625539,0.0000055289265,0.0005883068,0.9666809,0.0005298146,0.0008894155,0.0008911581,0.025677023],"study_design_scores_gemma":[0.00097598723,0.00009188895,0.009928518,0.00024668835,0.000013511346,0.00006918073,0.00020666549,0.9845838,0.001527211,0.0006670526,0.0014264353,0.0002630467],"about_ca_topic_score_codex":0.0000125138895,"about_ca_topic_score_gemma":0.0004108265,"teacher_disagreement_score":0.29500318,"about_ca_system_score_codex":0.00044417116,"about_ca_system_score_gemma":0.000111944515,"threshold_uncertainty_score":0.76957035},"labels":[],"label_agreement":null},{"id":"W1825277958","doi":"10.1109/jsac.2009.090504","title":"A secure mobile healthcare system using trust-based multicast scheme","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Multicast; Overhead (engineering); Node (physics); Mobile computing; Computer security","score_opus":0.04750095574734478,"score_gpt":0.36161966104301035,"score_spread":0.31411870529566555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1825277958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05773936,0.0005463855,0.9286311,0.0070912717,0.00029140775,0.0047241193,0.000019948278,0.0005488813,0.00040747764],"genre_scores_gemma":[0.81700504,0.000021535756,0.18207875,0.00049660954,0.00004818283,0.00032317988,0.0000055597643,0.000014881992,0.0000062828667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997271,0.00072025246,0.00076722295,0.00033617282,0.00045643438,0.000448931],"domain_scores_gemma":[0.9958351,0.0003089656,0.0005064921,0.0023017959,0.0007931307,0.00025449513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005645086,0.00023567335,0.00030553914,0.00044190185,0.00070453977,0.00023712726,0.0027606746,0.00013476874,0.0000053528975],"category_scores_gemma":[0.00016782801,0.00023496684,0.00009474995,0.0018759235,0.00007573554,0.00053930545,0.00010116339,0.0012815418,0.000022186501],"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":[0.00029138318,0.007838482,0.00701191,0.00026853196,0.000134041,0.00017667985,0.008699999,0.058896404,0.028727887,0.82753354,0.0002752396,0.060145922],"study_design_scores_gemma":[0.0013988701,0.00035879188,0.0024204343,0.00079931365,0.00000987083,0.00030189785,0.00017688899,0.98498523,0.0020485504,0.0060051293,0.0011139163,0.00038111457],"about_ca_topic_score_codex":0.000013092828,"about_ca_topic_score_gemma":0.000027600328,"teacher_disagreement_score":0.9260888,"about_ca_system_score_codex":0.000838332,"about_ca_system_score_gemma":0.00056838285,"threshold_uncertainty_score":0.95816696},"labels":[],"label_agreement":null},{"id":"W1970107330","doi":"10.1109/jsac.2013.sup.0513042","title":"CAH-MAC: Cooperative ADHOC MAC for Vehicular Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":139,"is_retracted":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":"Retransmission; Computer network; Computer science; Wireless ad hoc network; Network packet; Vehicular ad hoc network; Wireless; Throughput; Multiple Access with Collision Avoidance for Wireless; Channel (broadcasting); Reliability (semiconductor); Access control; Media access control; IEEE 802.11p; Telecommunications","score_opus":0.016294784109665963,"score_gpt":0.25093640557410407,"score_spread":0.23464162146443812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970107330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7172955,0.018534219,0.2327713,0.007915602,0.003308701,0.006140365,0.00010151808,0.0016058855,0.0123268915],"genre_scores_gemma":[0.9910006,0.0025641753,0.0050387443,0.00036427937,0.0003371552,0.0003853333,0.00008527721,0.000099269746,0.00012515417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980195,0.00031260835,0.0006309838,0.00019010017,0.00022386684,0.0006229007],"domain_scores_gemma":[0.99718225,0.00071449287,0.00012736607,0.0010928782,0.00063917326,0.00024386385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003916046,0.00030402676,0.00036809134,0.00024454767,0.00044186553,0.00021853446,0.0011029557,0.0002364021,0.000106578846],"category_scores_gemma":[0.00015281893,0.0002971139,0.00012795042,0.0008796578,0.000088883484,0.00031229155,0.000059749207,0.0017868925,0.00008365137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012129137,0.00010654088,0.0002466489,0.0000071541026,0.00013974257,0.0000055117794,0.0001682502,0.9719782,0.0008752421,0.00038833963,0.022814887,0.0032573761],"study_design_scores_gemma":[0.0008278324,0.00010746625,0.0021750259,0.00019264805,0.0000369798,0.000118388605,0.000053423766,0.9754758,0.00035496085,0.0003737184,0.019935153,0.00034863772],"about_ca_topic_score_codex":0.000030317733,"about_ca_topic_score_gemma":0.0003779482,"teacher_disagreement_score":0.2737051,"about_ca_system_score_codex":0.00041974604,"about_ca_system_score_gemma":0.00010456938,"threshold_uncertainty_score":0.9999481},"labels":[],"label_agreement":null},{"id":"W1970767514","doi":"10.1109/jsac.2014.2328133","title":"Optimized Backhaul Compression for Uplink Cloud Radio Access Network","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Telecommunications link; Decodes; Quantization (signal processing); Base station; Maximization; Artificial noise; Cloud computing; Decoding methods","score_opus":0.0319810831676609,"score_gpt":0.3065107223314905,"score_spread":0.2745296391638296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970767514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016210416,0.00067675405,0.99227613,0.00043110808,0.0010302113,0.0005926543,0.000007726486,0.00028796092,0.0030764162],"genre_scores_gemma":[0.78176194,0.001738066,0.21470667,0.00017091804,0.0010388643,0.00020866196,0.00014172036,0.00013502728,0.000098111355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983365,0.00030834984,0.000680724,0.00015851228,0.00013631824,0.00037957635],"domain_scores_gemma":[0.9972269,0.0010872006,0.00023224072,0.0010187024,0.00029795393,0.00013698365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005629892,0.00022189849,0.000368027,0.00021608736,0.00041389852,0.00014539948,0.0012575588,0.00015545635,0.0000158813],"category_scores_gemma":[0.00022706705,0.00022144144,0.00008410698,0.00073020003,0.00004206965,0.00035665848,0.00006657213,0.0007842065,0.000009981481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052817242,0.000058512927,0.00013744345,0.000016056121,0.00003638831,3.9739322e-7,0.00006632895,0.9839573,0.00030854688,0.0005422743,0.012226385,0.0025975327],"study_design_scores_gemma":[0.0018459335,0.000060200735,0.0002805513,0.00043440584,0.000025170217,0.000040803217,0.000012629651,0.97300303,0.00043283094,0.001422955,0.022158211,0.0002832826],"about_ca_topic_score_codex":0.0000030821022,"about_ca_topic_score_gemma":0.000021892576,"teacher_disagreement_score":0.78014094,"about_ca_system_score_codex":0.00029283937,"about_ca_system_score_gemma":0.00004958518,"threshold_uncertainty_score":0.903012},"labels":[],"label_agreement":null},{"id":"W1973184571","doi":"10.1109/jsac.2013.130413","title":"Resilient Asymptotic Consensus in Robust Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":713,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Robustness (evolution); Redundancy (engineering); Distributed computing; Fault tolerance; Network topology; Computer network; Theoretical computer science","score_opus":0.03176602887918567,"score_gpt":0.2648428637459382,"score_spread":0.2330768348667525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973184571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4887887,0.0042844024,0.44510052,0.039871268,0.0034458484,0.0036278323,0.000022054219,0.0007130928,0.01414629],"genre_scores_gemma":[0.992153,0.00023763913,0.00699707,0.0003285316,0.00006981861,0.00009788745,0.000008269644,0.000017333841,0.0000904449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99665517,0.001175474,0.0009335923,0.00029599998,0.00037520533,0.00056456646],"domain_scores_gemma":[0.9956483,0.0011259787,0.00038087854,0.0021035613,0.0005226509,0.00021863382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079602,0.00022244289,0.0003375921,0.0005250554,0.0002802725,0.00043526405,0.0032468732,0.00014139735,0.000020435233],"category_scores_gemma":[0.00041973247,0.00021292492,0.000077740384,0.001926105,0.0000880147,0.00033569458,0.00020659727,0.0013565965,0.00014023343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006354103,0.0030334247,0.06990242,0.000016946584,0.00020165928,0.00016877963,0.0013618465,0.83423233,0.0017904297,0.025937311,0.038053524,0.025237761],"study_design_scores_gemma":[0.001447548,0.0000857874,0.13778919,0.00030273868,0.000007272983,0.00023342953,0.0000613052,0.85782486,0.000036158843,0.00082424295,0.0010950804,0.00029236623],"about_ca_topic_score_codex":0.00030763942,"about_ca_topic_score_gemma":0.0008206278,"teacher_disagreement_score":0.5033643,"about_ca_system_score_codex":0.0005368078,"about_ca_system_score_gemma":0.0002474555,"threshold_uncertainty_score":0.8682826},"labels":[],"label_agreement":null},{"id":"W1975217603","doi":"10.1109/jsac.2003.818801","title":"Multicast With Network Coding in Application-Layer Overlay Networks","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Multicast; Computer network; Linear network coding; Overlay network; Distributed computing; Overlay multicast; Network topology; Source-specific multicast; Multicast address; The Internet; Network packet","score_opus":0.025380861361016666,"score_gpt":0.2846143062362388,"score_spread":0.25923344487522215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975217603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05805279,0.00043530363,0.92462575,0.014349241,0.00023978889,0.00064944936,0.0000018842619,0.00046031666,0.001185445],"genre_scores_gemma":[0.8650905,0.0003485903,0.13363567,0.0006626012,0.00010197066,0.00012085506,0.0000034953698,0.000023451665,0.000012900137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977344,0.00021967824,0.00062297424,0.00037741498,0.0003733923,0.00067209976],"domain_scores_gemma":[0.99634814,0.0005925939,0.00027792001,0.0022983819,0.0003146888,0.00016829654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006993211,0.00025407333,0.00032388823,0.0005160312,0.00042587085,0.0002581,0.0040488555,0.00016430004,0.0000019205704],"category_scores_gemma":[0.00016380005,0.0002329099,0.000044853692,0.004789928,0.00011373287,0.00041478878,0.0003956196,0.0017171979,0.000027729191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003397891,0.0003824554,0.0152480835,0.0000018375533,0.00002679725,0.000030882435,0.0003624748,0.942367,0.0001458659,0.027788619,0.0009325513,0.012679423],"study_design_scores_gemma":[0.004168442,0.0006826247,0.1784038,0.00163407,0.000027791833,0.0008268833,0.00014113706,0.78336966,0.00056087907,0.018875524,0.009935083,0.001374124],"about_ca_topic_score_codex":0.00007896033,"about_ca_topic_score_gemma":0.002713672,"teacher_disagreement_score":0.80703765,"about_ca_system_score_codex":0.00064064434,"about_ca_system_score_gemma":0.00024517433,"threshold_uncertainty_score":0.949779},"labels":[],"label_agreement":null},{"id":"W1981779732","doi":"10.1109/jsac.2015.2391892","title":"On the Performance of Overlaid Wireless Sensor Transmission with RF Energy Harvesting","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Energy harvesting; Wireless sensor network; Rayleigh fading; Network packet; Transmission (telecommunications); Transmission delay; Wireless; Electronic engineering; Energy (signal processing); Fading; Computer network; Channel (broadcasting); Telecommunications; Engineering; Physics","score_opus":0.02710987502300357,"score_gpt":0.2327598879008301,"score_spread":0.20565001287782653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981779732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98871464,0.00028859233,0.0040231724,0.0004078639,0.00012878347,0.00007759864,0.0000026548491,0.00012673874,0.0062299487],"genre_scores_gemma":[0.9961015,0.0009008855,0.0026553345,0.000078010555,0.00007370261,0.000019663841,0.000006537812,0.00005418365,0.00011018688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985444,0.00026839704,0.00044644682,0.00011237632,0.0003529264,0.0002754322],"domain_scores_gemma":[0.99750143,0.0010644238,0.00017555257,0.00082203944,0.00029751484,0.00013903524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044329814,0.00020067733,0.0002301392,0.00018249023,0.00022608615,0.00005233896,0.00083683035,0.00009892751,0.0000061888945],"category_scores_gemma":[0.00010089426,0.00014130125,0.000037934802,0.00086544466,0.00011470681,0.00016438737,0.000023889956,0.0010664393,0.0000026793564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007781247,0.00012878979,0.0017054612,0.000014637694,0.000049911905,0.0000053894064,0.00032701876,0.983696,0.0034516791,0.002058607,0.00062960153,0.007855131],"study_design_scores_gemma":[0.0010413588,0.00051028916,0.004068372,0.002366216,0.000031570304,0.00022293058,0.000107627435,0.97152025,0.01598733,0.00017395467,0.0035833523,0.00038675152],"about_ca_topic_score_codex":0.000037881433,"about_ca_topic_score_gemma":0.00011773753,"teacher_disagreement_score":0.01253565,"about_ca_system_score_codex":0.00018283444,"about_ca_system_score_gemma":0.00012631391,"threshold_uncertainty_score":0.5762098},"labels":[],"label_agreement":null},{"id":"W1984516181","doi":"10.1109/jsac.2005.858887","title":"A novel dynamic cell configuration scheme in next-generation situation-aware CDMA networks","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Code division multiple access; Handover; Computer network; Cellular network; Power control; Scheme (mathematics); Radio resource management; Soft handover; Reinforcement learning; Resource management (computing); Resource allocation; Call Admission Control; Distributed computing; Power (physics); Wireless network; Wireless; Telecommunications","score_opus":0.07301597889334246,"score_gpt":0.3232270380317744,"score_spread":0.2502110591384319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984516181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09755927,0.0014925534,0.8786059,0.019114325,0.0003068059,0.0008053757,0.000005069195,0.00019102976,0.0019196668],"genre_scores_gemma":[0.94391936,0.0028449486,0.05223849,0.0004604974,0.00017560397,0.00012321718,0.000104112005,0.000029928155,0.00010386177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963636,0.001018237,0.0010689119,0.00038448235,0.00061411574,0.00055069657],"domain_scores_gemma":[0.99491453,0.00089915545,0.00047065638,0.0026743242,0.00085204036,0.0001892774],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013280824,0.00026964815,0.00030063087,0.0009111321,0.0006480987,0.0007062162,0.004134788,0.00023309725,0.000029524184],"category_scores_gemma":[0.00020566644,0.00029118083,0.00008069236,0.0030780907,0.000103016864,0.0016896809,0.000321846,0.0022238481,0.00006052569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055571552,0.0029609574,0.0019158389,0.000010721785,0.00004809288,0.000008882788,0.002281899,0.8146913,0.06792171,0.012193814,0.002131114,0.095780075],"study_design_scores_gemma":[0.0011003761,0.00006846795,0.008335827,0.00012168726,0.0000036677795,0.000051536263,0.00005398117,0.9879522,0.0006916836,0.00014365965,0.001197554,0.00027940117],"about_ca_topic_score_codex":0.00006434756,"about_ca_topic_score_gemma":0.003783445,"teacher_disagreement_score":0.8463601,"about_ca_system_score_codex":0.0010080943,"about_ca_system_score_gemma":0.00055180356,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W1984924886","doi":"10.1109/jsac.2013.131209","title":"A Framework for Cooperative Resource Management in Mobile Cloud Computing","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":207,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Cloud computing; Service provider; Mobile cloud computing; Resource management (computing); Resource allocation; Revenue; Mobile computing; Resource (disambiguation); Service (business); Business; Computer network; Marketing","score_opus":0.029881076184516287,"score_gpt":0.3075594451869847,"score_spread":0.2776783690024684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984924886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3425501,0.00093355443,0.6321104,0.010534484,0.0006954709,0.0027930837,0.0000026516611,0.0003037305,0.010076501],"genre_scores_gemma":[0.8463227,0.000107719345,0.1521292,0.0008860583,0.00014107549,0.00019671117,0.0000031020784,0.000020709971,0.0001926799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768317,0.0005327481,0.00066055416,0.00034167155,0.00029031181,0.0004915175],"domain_scores_gemma":[0.9965474,0.0013415222,0.0002653889,0.001471132,0.00025460255,0.00011997748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008484331,0.00021109707,0.0002760745,0.0005272681,0.00056207826,0.00041303076,0.0029409744,0.00009256987,0.000007641351],"category_scores_gemma":[0.00012892453,0.00019578764,0.00008448826,0.0017479557,0.00006638048,0.00006627459,0.00057385344,0.0010455481,0.000035618516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055056775,0.0025479337,0.0014783076,0.000055185723,0.00027023227,0.000044722907,0.010749343,0.41275328,0.00008931458,0.23565125,0.015758406,0.32054698],"study_design_scores_gemma":[0.0020318038,0.00050017505,0.00904469,0.0011936746,0.000019615236,0.000072601775,0.0018116971,0.91061777,0.0000973884,0.026636403,0.047331195,0.0006429827],"about_ca_topic_score_codex":0.000025111422,"about_ca_topic_score_gemma":0.000027196373,"teacher_disagreement_score":0.5037726,"about_ca_system_score_codex":0.0003045269,"about_ca_system_score_gemma":0.000053277985,"threshold_uncertainty_score":0.7983988},"labels":[],"label_agreement":null},{"id":"W1987844856","doi":"10.1109/jsac.2014.2384331","title":"Delay Optimization and Cross-Layer Design in Multihop Wireless Networks With Network Coding and Successive Interference Cancelation","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Quality of service; Computer network; Network packet; Wireless network; Scheduling (production processes); Time division multiple access; Linear network coding; Wireless; Mathematical optimization; Telecommunications","score_opus":0.04377820636257169,"score_gpt":0.3051203125412626,"score_spread":0.2613421061786909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987844856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04101474,0.00077635,0.9567215,0.0008815627,0.00008915964,0.00025435357,3.6751027e-7,0.000045147426,0.00021684592],"genre_scores_gemma":[0.93033195,0.0070021474,0.06230656,0.00023628316,0.00005002719,0.000040642906,0.0000051618927,0.000014561132,0.000012644825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99750775,0.0012805844,0.00048122325,0.00027547163,0.00015327694,0.0003016923],"domain_scores_gemma":[0.9965951,0.0017211683,0.00032455547,0.00080206816,0.00044028272,0.00011681324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010902487,0.00019370297,0.00024647187,0.0002533111,0.00067573,0.000509424,0.0010836875,0.00009918331,0.000003532024],"category_scores_gemma":[0.00017274194,0.0001751229,0.000015597981,0.0013123539,0.00015379301,0.0007371747,0.00025719954,0.0009468175,6.2733204e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054191325,0.00006764827,0.025928179,0.0000027465605,0.00001439766,0.0000023957466,0.0007866461,0.94712734,0.000068981506,0.006086221,0.00003593819,0.019825341],"study_design_scores_gemma":[0.000895828,0.00012708118,0.023497188,0.0004945106,0.0000054753523,0.00005389803,0.000017871416,0.97441196,0.000038829123,0.00019086273,0.00006307052,0.00020339065],"about_ca_topic_score_codex":0.00002088456,"about_ca_topic_score_gemma":0.0009842706,"teacher_disagreement_score":0.8944149,"about_ca_system_score_codex":0.00016437341,"about_ca_system_score_gemma":0.00010832839,"threshold_uncertainty_score":0.71413046},"labels":[],"label_agreement":null},{"id":"W1990774782","doi":"10.1109/jsac.2010.100101","title":"Recent advances in autonomic communications [Guest Editorial","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Focus (optics); Resource management (computing); Telecommunications; Computer network","score_opus":0.015990908525128338,"score_gpt":0.29702940968323,"score_spread":0.28103850115810164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990774782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4441336,0.030251313,0.007542415,0.15295887,0.2913291,0.0032624272,0.000081958635,0.001748218,0.06869211],"genre_scores_gemma":[0.92710525,0.035302855,0.026723813,0.0014140003,0.009221477,0.0001227129,0.00004794191,0.00004012078,0.000021830514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975837,0.0005848313,0.00074448745,0.0003009398,0.00036471526,0.00042131855],"domain_scores_gemma":[0.9940141,0.0010473941,0.0003593742,0.0039018097,0.00049452635,0.00018283188],"candidate_categories":["open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008172267,0.00022915596,0.00027615365,0.00067145337,0.00056072936,0.00027363066,0.00784804,0.0001773396,0.000011283458],"category_scores_gemma":[0.00014027623,0.00021888934,0.00006547462,0.002145222,0.00013596493,0.0009813794,0.0005993078,0.0031737238,0.000052263706],"study_design_candidate":"not_applicable","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":[0.00050854625,0.014536238,0.059111692,0.00007276564,0.0003073758,0.000072455085,0.032837793,0.009326335,0.042549584,0.23523882,0.027254209,0.5781842],"study_design_scores_gemma":[0.0010145741,0.00011240787,0.008493698,0.00013750647,0.000008396867,0.00009041594,0.000102473554,0.006929209,0.00058370427,0.006342376,0.9758494,0.00033583332],"about_ca_topic_score_codex":0.00008240284,"about_ca_topic_score_gemma":0.01809228,"teacher_disagreement_score":0.94859517,"about_ca_system_score_codex":0.0001835397,"about_ca_system_score_gemma":0.00048884144,"threshold_uncertainty_score":0.999825},"labels":[],"label_agreement":null},{"id":"W1993624957","doi":"10.1109/jsac.2012.1200501","title":"Guest Editorial Broadband Wireless Communications for High Speed Vehicles","year":2012,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Wireless; Wireless broadband; Broadband; Telecommunications; Physical layer; Computer network; Broadband networks; Radio resource management; Channel (broadcasting); Radio channel; Wireless network","score_opus":0.018559160277803147,"score_gpt":0.27629881620928554,"score_spread":0.2577396559314824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993624957","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013086185,0.00443158,0.00034962682,0.0004058126,0.99068975,0.0009781625,0.0006944763,0.00042626032,0.000715706],"genre_scores_gemma":[0.045688648,0.014768261,0.00221089,0.000025820611,0.9337106,0.0002378321,0.002891231,0.00033761916,0.00012914886],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995252,0.0007538154,0.0014971558,0.0003565813,0.0010588486,0.0010816004],"domain_scores_gemma":[0.9870291,0.0059003527,0.00061125506,0.00461029,0.0014286827,0.00042037127],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0014339491,0.00076424924,0.0010471187,0.00066488713,0.0008915962,0.0003955842,0.0054579657,0.0018075503,0.000014589009],"category_scores_gemma":[0.0009129159,0.0008353848,0.00028709977,0.0010617387,0.00029112553,0.00042407826,0.00031721292,0.0074782204,0.00006624971],"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":[0.000077199365,0.00040136668,0.000033823424,0.0000595802,0.00034902943,0.0000023946707,0.00018189198,0.016651899,0.00039451726,0.00013749817,0.9809294,0.00078144326],"study_design_scores_gemma":[0.0018641916,0.0001239491,0.00008338382,0.00078434485,0.0002599276,0.000024433482,0.000024356628,0.017789785,0.0001385417,0.0003170196,0.9777636,0.000826494],"about_ca_topic_score_codex":0.000082769795,"about_ca_topic_score_gemma":0.0009888418,"teacher_disagreement_score":0.05697921,"about_ca_system_score_codex":0.0013922604,"about_ca_system_score_gemma":0.000654162,"threshold_uncertainty_score":0.999923},"labels":[],"label_agreement":null},{"id":"W1993753913","doi":"10.1109/jsac.2012.120608","title":"Adaptive Communication-Constrained Deployment of Unmanned Vehicle Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Overhead (engineering); Software deployment; Network packet; Distributed computing; Wireless; Wireless network; Robot; Mobile robot; Real-time computing; Computer network; Artificial intelligence; Telecommunications","score_opus":0.043064034559626825,"score_gpt":0.28720141255050674,"score_spread":0.24413737799087992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993753913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3512051,0.030199433,0.5663658,0.014225258,0.0044435584,0.0050362493,0.00026645116,0.0011590691,0.027099065],"genre_scores_gemma":[0.9915281,0.00037676113,0.0077678366,0.000086150896,0.0000638542,0.00009677841,0.000016194499,0.000020765565,0.0000435612],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960962,0.001607784,0.0010788678,0.00018849355,0.0005140418,0.0005146139],"domain_scores_gemma":[0.99413145,0.0011643106,0.0008308459,0.0028569559,0.0007553977,0.00026101607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014815343,0.00023093638,0.0004320159,0.00041792466,0.0003860364,0.00016101796,0.0040172287,0.00012240579,0.0000062619815],"category_scores_gemma":[0.00025691188,0.0002221328,0.00011175307,0.0013864087,0.0001527767,0.0008180361,0.00026721973,0.00081748905,0.00004332634],"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":[0.00039634056,0.0136347655,0.080206834,0.00011052713,0.0018884119,0.000029020337,0.015871631,0.029480383,0.027746702,0.7921391,0.012600175,0.025896091],"study_design_scores_gemma":[0.011829991,0.0011801874,0.12774551,0.0031736267,0.0002211794,0.0010292121,0.0036791174,0.8231482,0.006445777,0.0028384395,0.016551346,0.0021574025],"about_ca_topic_score_codex":0.00015240112,"about_ca_topic_score_gemma":0.000066477565,"teacher_disagreement_score":0.7936678,"about_ca_system_score_codex":0.0004318167,"about_ca_system_score_gemma":0.0002631797,"threshold_uncertainty_score":0.90583134},"labels":[],"label_agreement":null},{"id":"W1996977547","doi":"10.1109/jsac.2013.130816","title":"Buffer-Aided Relaying with Adaptive Link Selection","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":245,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relay; Computer science; Computer network; Throughput; Channel state information; Relay channel; Transmission (telecommunications); Queue; Link Access Procedure for Frame Relay; Upper and lower bounds; Schedule; Selection (genetic algorithm); Power (physics); Wireless; Telecommunications; Mathematics","score_opus":0.07297752707014883,"score_gpt":0.31019186475112437,"score_spread":0.23721433768097555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996977547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13559107,0.005898416,0.80636823,0.022017246,0.0009796291,0.0010157085,0.0000034663874,0.0007637064,0.027362516],"genre_scores_gemma":[0.94501364,0.0020616641,0.052163046,0.00040602655,0.00017844424,0.00004574483,0.000004192037,0.0000208236,0.00010641366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974245,0.0011398771,0.00046304057,0.00019436656,0.00031951253,0.00045869342],"domain_scores_gemma":[0.99657863,0.00077297643,0.00030304326,0.0014659057,0.0006644666,0.00021497952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009728209,0.00020995023,0.00023045579,0.00042792555,0.00101402,0.00022172027,0.0022080825,0.000095090196,0.000020024636],"category_scores_gemma":[0.00018537458,0.00018133158,0.000055166085,0.002460227,0.000088146335,0.0011248116,0.00024414892,0.0016501878,0.000046102574],"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":[0.0004727105,0.0043199346,0.0934171,0.000017805982,0.00063285686,0.000024603434,0.024072047,0.011626682,0.013682267,0.441419,0.008899793,0.40141517],"study_design_scores_gemma":[0.0077154664,0.002953546,0.34474885,0.0025730622,0.00016012751,0.0045231534,0.00085297483,0.5167961,0.01025124,0.0052471594,0.10072519,0.003453121],"about_ca_topic_score_codex":0.000008169967,"about_ca_topic_score_gemma":0.00020533406,"teacher_disagreement_score":0.80942255,"about_ca_system_score_codex":0.000411842,"about_ca_system_score_gemma":0.00023788294,"threshold_uncertainty_score":0.7799124},"labels":[],"label_agreement":null},{"id":"W1998892986","doi":"10.1109/jsac.2013.130815","title":"Relay Selection and Performance Analysis in Multiple-User Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Computer science; Selection (genetic algorithm); Quadratic equation; Signal-to-noise ratio (imaging); Computational complexity theory; Scheme (mathematics); Computer network; Mathematical optimization; Algorithm; Telecommunications; Mathematics; Power (physics); Artificial intelligence","score_opus":0.04608209517420501,"score_gpt":0.2970217211579288,"score_spread":0.25093962598372377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998892986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.878786,0.0031180477,0.11475726,0.001982541,0.00020927306,0.00022585643,6.238433e-7,0.0000952741,0.00082510617],"genre_scores_gemma":[0.9760283,0.012506154,0.011063511,0.00024153847,0.00006249204,0.000028895342,0.000005570418,0.000010040518,0.000053455213],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979102,0.0008653773,0.0004956977,0.00017346468,0.00017828014,0.00037696146],"domain_scores_gemma":[0.9976285,0.0007163246,0.00020450067,0.0010551608,0.00024797852,0.00014753126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011592747,0.00015678987,0.00024315546,0.0008533255,0.0005674335,0.0001640002,0.0013533299,0.00009474903,0.000010879065],"category_scores_gemma":[0.00016621956,0.00015157105,0.00005460175,0.0049983016,0.000053640495,0.0008902754,0.00025098436,0.0012540127,0.000006904126],"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":[0.000024940173,0.00042313253,0.90507585,0.0000020506168,0.000100348785,7.4938754e-7,0.0012738435,0.057527915,0.00016861834,0.0036413656,0.00021464884,0.031546533],"study_design_scores_gemma":[0.0002919855,0.000035886078,0.44692433,0.000043790806,0.000015819085,0.000028996163,0.000013145844,0.5509518,0.00003969572,0.00001092644,0.0015232783,0.00012039075],"about_ca_topic_score_codex":0.000012048203,"about_ca_topic_score_gemma":0.0012011654,"teacher_disagreement_score":0.49342385,"about_ca_system_score_codex":0.00024316776,"about_ca_system_score_gemma":0.00006625903,"threshold_uncertainty_score":0.6180888},"labels":[],"label_agreement":null},{"id":"W2002724791","doi":"10.1109/jsac.2014.140411","title":"A Real-Time Adaptive Algorithm for Video Streaming over Multiple Wireless Access Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Quality of service; Video quality; Codec; Wireless network; Wireless; Testbed; Real-time computing; Transcoding; Computer hardware; Telecommunications","score_opus":0.018611517232122926,"score_gpt":0.27596832161287843,"score_spread":0.2573568043807555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002724791","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02157149,0.00017267282,0.97595984,0.000067016816,0.00031581149,0.0005075388,0.00002735756,0.0003347617,0.0010435041],"genre_scores_gemma":[0.8955947,0.00223867,0.10125007,0.00006715563,0.00040198554,0.00017644973,0.00010403753,0.00012806631,0.000038854916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823546,0.0002575095,0.00060687686,0.0002159634,0.00020281681,0.00048138702],"domain_scores_gemma":[0.99642575,0.0019297142,0.0002560819,0.00086255174,0.00037388626,0.00015199324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034496933,0.00028727838,0.0003725184,0.00030662486,0.00033915433,0.00014940377,0.0010595326,0.00016065789,0.000013265747],"category_scores_gemma":[0.0001403437,0.00031084742,0.00008943205,0.00097298133,0.000065091735,0.00054699916,0.000081284496,0.0008799436,0.000005506896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033165754,0.000098722994,0.00036953267,0.0000036305762,0.00006323482,0.0000012475168,0.000083548875,0.93930715,0.00049324334,0.00013044981,0.0011158526,0.058300205],"study_design_scores_gemma":[0.0011105106,0.00008151341,0.0016648972,0.00027352985,0.000027243994,0.000019360712,0.00001910098,0.99508566,0.00023992608,0.00031394046,0.0008434978,0.00032080823],"about_ca_topic_score_codex":0.00002506654,"about_ca_topic_score_gemma":0.00019337746,"teacher_disagreement_score":0.8747098,"about_ca_system_score_codex":0.00043048014,"about_ca_system_score_gemma":0.000053568823,"threshold_uncertainty_score":0.9999344},"labels":[],"label_agreement":null},{"id":"W2016303810","doi":"10.1109/jsac.2013.130320","title":"Service Response Time of Elastic Data Traffic in Cognitive Radio Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Preemption; Quality of service; Computer network; Response time; Service (business); Data as a service; Channel (broadcasting); Processor sharing; Operating system; Queueing theory","score_opus":0.04094177913332953,"score_gpt":0.29173299051919094,"score_spread":0.2507912113858614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016303810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404322,0.0009465941,0.0522193,0.0051469193,0.00019045571,0.00047324732,0.000012893802,0.00007334363,0.0005050256],"genre_scores_gemma":[0.99477744,0.000525672,0.00422849,0.0003277691,0.000067743305,0.000009499301,0.000025332025,0.00001746859,0.000020603651],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99690396,0.0014883302,0.00067466754,0.00030697644,0.00023262584,0.00039345707],"domain_scores_gemma":[0.99284405,0.004391861,0.00032320686,0.0016988813,0.0006080186,0.00013399546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011723215,0.00018706432,0.00033949612,0.00052696123,0.00020827043,0.00018410703,0.002914881,0.00010375211,0.000035086214],"category_scores_gemma":[0.00057785993,0.00018429119,0.000042265372,0.0028566932,0.000093402916,0.0007111021,0.00035988414,0.0012080944,0.000036963684],"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":[0.0030182188,0.0084546255,0.009066611,0.000048998463,0.00086824864,0.00043960556,0.016259518,0.44786713,0.010034119,0.002130401,0.018464671,0.48334783],"study_design_scores_gemma":[0.0009106357,0.00014019432,0.04562071,0.0006008934,0.000014772634,0.00023455593,0.00010270778,0.9517752,0.00003748124,0.0002629338,0.00010104867,0.00019886396],"about_ca_topic_score_codex":0.00007080853,"about_ca_topic_score_gemma":0.00083370047,"teacher_disagreement_score":0.50390804,"about_ca_system_score_codex":0.00016302078,"about_ca_system_score_gemma":0.0003088784,"threshold_uncertainty_score":0.75151765},"labels":[],"label_agreement":null},{"id":"W2020534110","doi":"10.1109/jsac.2014.2358832","title":"Efficient Methods for Early Protocol Identification","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Network packet; Byte; Deep packet inspection; Memory footprint; Payload (computing); Traffic classification; Computer network; File sharing; Set (abstract data type); Identification (biology); Distributed computing; Real-time computing; The Internet; Operating system","score_opus":0.04083046128720494,"score_gpt":0.38107302182072805,"score_spread":0.3402425605335231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020534110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005544668,0.000013111895,0.9869704,0.0010819075,0.00017990444,0.005600533,7.650283e-7,0.000074349584,0.0005343555],"genre_scores_gemma":[0.8085779,0.000002630779,0.18506813,0.00012933197,0.00008203389,0.00605252,0.0000025213742,0.000011930507,0.000072997034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974867,0.001046372,0.0007172544,0.0002491535,0.00022419327,0.00027632923],"domain_scores_gemma":[0.99681485,0.0010252483,0.00044953063,0.00094219664,0.0006734673,0.00009469723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028010197,0.000141783,0.00021962194,0.0003699478,0.0004557175,0.00038591304,0.0024364202,0.0000770878,0.0000052068467],"category_scores_gemma":[0.0006226796,0.00012473462,0.00013234491,0.00093330815,0.000045852496,0.00013379358,0.00010024385,0.00056529883,0.000019614505],"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":[0.000072815536,0.0015872966,0.00032656715,0.00002881522,0.00015280858,0.0000013578286,0.0038633002,0.12529804,0.004175493,0.61915135,0.001315592,0.24402653],"study_design_scores_gemma":[0.0004844553,0.00012983088,0.0015397882,0.00007153538,0.00001148856,0.000017705792,0.000011864974,0.9880813,0.0007316154,0.00055885257,0.008218755,0.0001428404],"about_ca_topic_score_codex":0.000004926774,"about_ca_topic_score_gemma":0.000029551677,"teacher_disagreement_score":0.8627832,"about_ca_system_score_codex":0.0001422426,"about_ca_system_score_gemma":0.00009664732,"threshold_uncertainty_score":0.50865304},"labels":[],"label_agreement":null},{"id":"W2024304958","doi":"10.1109/jsac.2013.131130","title":"Cooperative Spectrum Access Towards Secure Information Transfer for CRNs","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Relay; Computer network; Secrecy; Transmission (telecommunications); Secure transmission; Beamforming; Jamming; Cognitive radio; Computer security; Power (physics); Telecommunications; Wireless","score_opus":0.030423715984027086,"score_gpt":0.29916438916850957,"score_spread":0.26874067318448247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024304958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40334606,0.0014866112,0.51881915,0.03248425,0.00097612623,0.00644232,0.00036074375,0.0028903936,0.033194352],"genre_scores_gemma":[0.99153006,0.0026553927,0.004568822,0.00037956398,0.000059654372,0.000631863,0.000115587136,0.000041020005,0.000018063472],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998439,0.00020325677,0.0007145839,0.00009627716,0.00022233323,0.00032451138],"domain_scores_gemma":[0.99758923,0.00035179014,0.000086405205,0.0011513103,0.0006966974,0.00012455694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003042699,0.00023322106,0.00027750913,0.0005207417,0.0003392018,0.00047532513,0.002028576,0.00017476724,0.000113310496],"category_scores_gemma":[0.00013575301,0.00023238655,0.00008783256,0.00091475487,0.00007908342,0.002010497,0.00007140997,0.0012093842,0.00004591867],"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":[0.00048316485,0.00420074,0.0041177943,0.0007234451,0.0019870237,0.00000799416,0.057999946,0.23504719,0.02722047,0.14482047,0.31782353,0.20556822],"study_design_scores_gemma":[0.0057800342,0.0008963029,0.041812237,0.0013529827,0.0001329621,0.000278668,0.0014323429,0.5650505,0.10005555,0.029251087,0.25119582,0.0027615058],"about_ca_topic_score_codex":0.00006316319,"about_ca_topic_score_gemma":0.0003415482,"teacher_disagreement_score":0.58818394,"about_ca_system_score_codex":0.0003619783,"about_ca_system_score_gemma":0.00013833784,"threshold_uncertainty_score":0.9476448},"labels":[],"label_agreement":null},{"id":"W2025005414","doi":"10.1109/jsac.2014.140404","title":"Optimal Delivery of Rate-Adaptive Streams in Underprovisioned Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Dynamic Adaptive Streaming over HTTP; Content delivery network; Computer network; Context (archaeology); Quality of experience; Internet traffic; The Internet; Population; Server; Distributed computing; Quality of service; World Wide Web","score_opus":0.026122356390072193,"score_gpt":0.2589571086519255,"score_spread":0.23283475226185332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025005414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73202556,0.00043433395,0.26451486,0.0011901584,0.00027210457,0.00016719215,0.0000023712564,0.00006195479,0.001331488],"genre_scores_gemma":[0.99190956,0.0005455139,0.007259201,0.00020149216,0.00003686032,0.000008289251,0.0000038160088,0.000010072715,0.00002519759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781334,0.0009614095,0.0005462589,0.00019774065,0.00021695606,0.0002643073],"domain_scores_gemma":[0.99700314,0.0011604285,0.0002821086,0.0011363372,0.00032558804,0.00009239178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009049342,0.00014534013,0.00026352544,0.00043293205,0.00019293957,0.00009733058,0.0019645826,0.0000918432,0.0000030304577],"category_scores_gemma":[0.00015261797,0.00013741266,0.00007687765,0.0010918415,0.00007420648,0.0003408006,0.00019610884,0.000991295,0.00000551001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042270878,0.002371664,0.011844136,0.000008881388,0.00013831755,0.000037173566,0.0016950592,0.79666626,0.005058754,0.04117453,0.0011229465,0.13945954],"study_design_scores_gemma":[0.00085670484,0.00030694678,0.013704062,0.0002548747,0.0000071176396,0.000037033136,0.000084307234,0.9832776,0.00018315867,0.0010086992,0.00010929823,0.0001701658],"about_ca_topic_score_codex":0.00021272183,"about_ca_topic_score_gemma":0.0004781111,"teacher_disagreement_score":0.25988403,"about_ca_system_score_codex":0.00016734832,"about_ca_system_score_gemma":0.00018252298,"threshold_uncertainty_score":0.56035256},"labels":[],"label_agreement":null},{"id":"W2025133448","doi":"10.1109/jsac.2013.130201","title":"Guest Editorial: Large-Scale Multiple Antenna Wireless Systems","year":2013,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Focus (optics); Telecommunications; Wireless; Antenna (radio); Scale (ratio); Computer network","score_opus":0.01972504215709183,"score_gpt":0.2704536179213791,"score_spread":0.2507285757642873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025133448","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042091616,0.011731605,0.00033413636,0.000098549586,0.9838572,0.00094101013,0.0004338122,0.0007031263,0.001479655],"genre_scores_gemma":[0.032074884,0.045077626,0.0003229341,0.000012776306,0.92001486,0.00052149245,0.0012502213,0.00036703795,0.00035816664],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932049,0.0015553015,0.0023007896,0.00044381584,0.0015562769,0.0009389507],"domain_scores_gemma":[0.98545074,0.0052759494,0.00085826695,0.005069194,0.0029494292,0.00039642863],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0017363516,0.00083128444,0.0012855731,0.0010331236,0.00061308104,0.0008004246,0.005722385,0.0019210962,0.000019342668],"category_scores_gemma":[0.0013246811,0.0008564501,0.00023846341,0.0015803742,0.00014596994,0.0005131547,0.00029731743,0.007947476,0.00054600666],"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":[0.000021073272,0.00029504322,0.00016224087,0.00012225972,0.00019520313,0.000004862502,0.0005905271,0.00080828136,0.00072222436,0.000012536816,0.9969596,0.000106109575],"study_design_scores_gemma":[0.0011944242,0.000061798884,0.00005438086,0.0017164455,0.000052982687,0.000030259058,0.00034455876,0.023839572,0.000039489252,0.000014262354,0.971868,0.00078384916],"about_ca_topic_score_codex":0.00026103717,"about_ca_topic_score_gemma":0.00073600793,"teacher_disagreement_score":0.06384233,"about_ca_system_score_codex":0.0016063823,"about_ca_system_score_gemma":0.0005286155,"threshold_uncertainty_score":0.99965715},"labels":[],"label_agreement":null},{"id":"W2028653892","doi":"10.1109/jsac.2012.120813","title":"GestureFlow: QoE-Aware Streaming of Multi-TouchGestures in Interactive Multimedia Applications","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gesture; Computer science; Session (web analytics); Multimedia; Mobile device; Network packet; Interactive media; Protocol (science); Quality of experience; Gesture recognition; Human–computer interaction; Computer network; Artificial intelligence; Quality of service; World Wide Web","score_opus":0.05588061973757499,"score_gpt":0.34641265444898034,"score_spread":0.2905320347114054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028653892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2608922,0.023895686,0.6879263,0.012045737,0.0017750632,0.003852627,0.000054851942,0.00059259153,0.008964933],"genre_scores_gemma":[0.955124,0.003769694,0.040646642,0.0001778107,0.00007613208,0.0001436998,0.000014090329,0.00001689781,0.000031000607],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997532,0.0008880512,0.00073611137,0.00020332188,0.000254462,0.00038605166],"domain_scores_gemma":[0.9956837,0.0013944247,0.00042272094,0.001807699,0.0005246251,0.00016680766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007116211,0.00021128508,0.00031204187,0.0006772041,0.00032089272,0.00008722898,0.0028842622,0.00011106215,0.000013315922],"category_scores_gemma":[0.0002998453,0.00020276464,0.00007689689,0.0019969326,0.0001121203,0.00076111685,0.00041073642,0.0014654838,0.000017055287],"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":[0.00012376685,0.0151779,0.2667031,0.000047889247,0.00031699004,0.000012839583,0.040965036,0.0073039625,0.021383675,0.030758344,0.0016650422,0.61554146],"study_design_scores_gemma":[0.0033346603,0.00021822228,0.7423604,0.001110272,0.000034572557,0.00016224677,0.0011156873,0.22928755,0.0048161377,0.0005698562,0.016029706,0.0009607058],"about_ca_topic_score_codex":0.000025758069,"about_ca_topic_score_gemma":0.00076054083,"teacher_disagreement_score":0.6942318,"about_ca_system_score_codex":0.00032449694,"about_ca_system_score_gemma":0.00017374867,"threshold_uncertainty_score":0.8268502},"labels":[],"label_agreement":null},{"id":"W2029232777","doi":"10.1109/jsac.2013.131006","title":"Two-Stage Channel Quantization for Scheduling and Beamforming in Network MIMO Systems: Feedback Design and Scaling Laws","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; MIMO; Beamforming; Base station; Precoding; Multi-user MIMO; Telecommunications link; Channel (broadcasting); Quantization (signal processing); Channel state information; Scheduling (production processes); Spatial multiplexing; Control theory (sociology); Real-time computing; Computer network; Wireless; Telecommunications; Algorithm; Mathematical optimization; Mathematics","score_opus":0.03541002289995055,"score_gpt":0.2761823023650124,"score_spread":0.24077227946506186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029232777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06871207,0.0031896909,0.92648,0.00010069088,0.00022681478,0.0010843404,0.0000038384183,0.00009848467,0.00010405895],"genre_scores_gemma":[0.85178393,0.0018410522,0.14599381,0.000019323263,0.000099632256,0.0001818392,0.00001597381,0.000050566126,0.00001388608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986093,0.00021188664,0.0006205368,0.00014685198,0.00009150529,0.00031990814],"domain_scores_gemma":[0.9984827,0.00067782676,0.00018291484,0.0003311553,0.00023367656,0.00009171742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064592157,0.0001798168,0.0002724082,0.00031350402,0.0002981003,0.00018550041,0.00023437996,0.00010849143,0.0000012398424],"category_scores_gemma":[0.00017059981,0.0001929377,0.000019903106,0.00063574105,0.000035218498,0.00056340377,0.00003055838,0.000455951,0.0000018118288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010899055,0.000021821323,0.0006855732,0.000054041906,0.000018133449,4.6484078e-7,0.00039057125,0.99653006,0.0010509562,0.0005985382,0.000027684635,0.00061124185],"study_design_scores_gemma":[0.0008414859,0.000031879135,0.00040591953,0.00089874107,0.000010305791,0.000040440413,0.00046366913,0.99650216,0.00013682619,0.00040313654,0.00007115648,0.0001942566],"about_ca_topic_score_codex":0.000059319318,"about_ca_topic_score_gemma":0.00013754291,"teacher_disagreement_score":0.7830718,"about_ca_system_score_codex":0.00020053811,"about_ca_system_score_gemma":0.00003363846,"threshold_uncertainty_score":0.78677714},"labels":[],"label_agreement":null},{"id":"W2031672799","doi":"10.1109/jsac.2009.090909","title":"On node density - outage probability tradeoff in wireless networks","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fading; Computer science; Poisson distribution; Node (physics); Interference (communication); Wireless network; Coverage probability; Stochastic geometry; Channel (broadcasting); Topology (electrical circuits); Single antenna interference cancellation; Wireless; Algorithm; Mathematics; Statistics; Telecommunications","score_opus":0.05145683581558002,"score_gpt":0.30388491776213444,"score_spread":0.2524280819465544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031672799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79987854,0.00078564294,0.15656467,0.03369362,0.00047579754,0.0008932005,0.0000028657412,0.0003216427,0.007384044],"genre_scores_gemma":[0.98989105,0.0020801593,0.0060042455,0.0019136503,0.000047358768,0.000019008266,0.000006668042,0.000010560707,0.00002727081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99675214,0.0015017921,0.0007006602,0.000323129,0.00030207259,0.00042023155],"domain_scores_gemma":[0.9956915,0.0009427342,0.00025003252,0.002641983,0.0003152438,0.00015854002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196409,0.00023317311,0.00033042315,0.0003945153,0.00056495884,0.00025508986,0.0035692598,0.00013246715,0.000009743004],"category_scores_gemma":[0.0002779998,0.000224921,0.00008435477,0.0021950093,0.00008845729,0.0004040094,0.00019353665,0.002244056,0.000013665861],"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":[0.00033450196,0.009524301,0.02617508,0.000011038406,0.00008286962,0.00009688918,0.0055189044,0.10422941,0.0030150681,0.48287296,0.0046598166,0.36347917],"study_design_scores_gemma":[0.0017354138,0.0004290096,0.29336497,0.0005724339,0.000008272898,0.00011578464,0.00002672201,0.6832288,0.00038490756,0.01836462,0.001153341,0.00061572826],"about_ca_topic_score_codex":0.000008313095,"about_ca_topic_score_gemma":0.0007081039,"teacher_disagreement_score":0.5789994,"about_ca_system_score_codex":0.00050453324,"about_ca_system_score_gemma":0.00019744111,"threshold_uncertainty_score":0.97494316},"labels":[],"label_agreement":null},{"id":"W2036334211","doi":"10.1109/jsac.2005.853791","title":"Noncoherent sequence detection receiver for Bluetooth systems","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Bluetooth; Detector; Discriminator; Decoding methods; Channel (broadcasting); Interference (communication); Trellis (graph); Real-time computing; Filter (signal processing); Sequence (biology); Electronic engineering; Algorithm; Wireless; Telecommunications","score_opus":0.0650182770116756,"score_gpt":0.316506240345679,"score_spread":0.25148796333400336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036334211","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079563215,0.0044387737,0.8797587,0.027768176,0.0014037453,0.0018411219,0.000028595003,0.0015052437,0.0036924104],"genre_scores_gemma":[0.9528161,0.002298874,0.044156738,0.00024961692,0.000099809695,0.00024525227,0.0000059743243,0.000017903934,0.00010968423],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980832,0.00037821435,0.00063908787,0.0002550281,0.00027381102,0.00037070378],"domain_scores_gemma":[0.99552417,0.00075969606,0.00041650652,0.0025644826,0.0006233997,0.000111725836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006740578,0.00019449224,0.00024945833,0.0005152666,0.0006679704,0.00035690508,0.004497897,0.00017286258,0.000003996678],"category_scores_gemma":[0.0003199759,0.00018299486,0.00008673548,0.0012656689,0.000115303046,0.0007557172,0.00021621524,0.0010025589,0.0000448858],"study_design_candidate":"design_other","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":[0.00009754965,0.0014022628,0.00095084484,0.000034085704,0.00013272045,0.0000047993185,0.0014819065,0.02046105,0.018573625,0.09010935,0.005218409,0.8615334],"study_design_scores_gemma":[0.0025795489,0.0007567652,0.003980988,0.0005734544,0.00003164794,0.0004788786,0.00034086342,0.69136906,0.02896806,0.006661551,0.26326936,0.0009898524],"about_ca_topic_score_codex":0.000033144268,"about_ca_topic_score_gemma":0.00038056233,"teacher_disagreement_score":0.8732529,"about_ca_system_score_codex":0.00053731666,"about_ca_system_score_gemma":0.00022210916,"threshold_uncertainty_score":0.8358286},"labels":[],"label_agreement":null},{"id":"W2040631008","doi":"10.1109/jsac.2012.121015","title":"Cooperative Sensing at the MAC Level in Simple Cognitive Personal Area Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Federation for the Humanities and Social Sciences","keywords":"Computer science; Computer network; Network packet; Node (physics); Simple (philosophy); Queueing theory; Probabilistic logic; Transmission (telecommunications); Duty cycle; Distributed computing; Telecommunications; Artificial intelligence","score_opus":0.06614913853162112,"score_gpt":0.3044748105077806,"score_spread":0.23832567197615945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040631008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6388509,0.005418164,0.336326,0.009767657,0.0008317343,0.0007865161,0.00002756725,0.00011771516,0.007873726],"genre_scores_gemma":[0.9955411,0.00096207927,0.0020686388,0.0010713981,0.00025250143,0.0000068913473,0.000018812263,0.00002018347,0.000058407728],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970855,0.0012120552,0.00047413787,0.00023372027,0.00031305995,0.00068150676],"domain_scores_gemma":[0.99546593,0.0030911192,0.0002363764,0.0006133763,0.0004209385,0.0001722663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010282532,0.00023786235,0.00027804865,0.0002614166,0.0010729517,0.00025356017,0.0008449131,0.000101949336,0.000025199854],"category_scores_gemma":[0.00028651068,0.00018736927,0.00008579195,0.0017538766,0.00019311046,0.0004877659,0.00028718382,0.0016432077,0.000016657288],"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":[0.00075345696,0.0036172154,0.08929531,0.000013288081,0.0008123062,0.0003851284,0.058631834,0.050119393,0.0029689306,0.013156731,0.014737275,0.7655091],"study_design_scores_gemma":[0.0012245054,0.00011366027,0.06987349,0.00039692342,0.000026634696,0.0012629594,0.00079155783,0.92318064,0.00033844347,0.0003546909,0.0019851034,0.00045136802],"about_ca_topic_score_codex":0.00006617082,"about_ca_topic_score_gemma":0.0030748877,"teacher_disagreement_score":0.8730613,"about_ca_system_score_codex":0.0005610729,"about_ca_system_score_gemma":0.00017100881,"threshold_uncertainty_score":0.8252386},"labels":[],"label_agreement":null},{"id":"W2042101093","doi":"10.1109/jsac.2014.2332112","title":"Direct Electricity Trading in Smart Grid: A Coalitional Game Analysis","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":200,"is_retracted":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":"Alexander von Humboldt-Stiftung","keywords":"Shapley value; Electricity; Computer science; Smart grid; Revenue; Electricity pricing; Electricity market; Electricity retailing; Dynamic pricing; Electricity generation; Game theory; Mathematical optimization; Grid; Microeconomics; Environmental economics; Power (physics); Business; Economics; Finance; Mathematics; Electrical engineering","score_opus":0.019832332288050432,"score_gpt":0.2504470573568902,"score_spread":0.2306147250688398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042101093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90714943,0.00058437424,0.031981386,0.0014127978,0.00081029825,0.0003186909,0.000024570018,0.00047951745,0.05723896],"genre_scores_gemma":[0.9977817,0.0006702839,0.0010991617,0.00012847625,0.00014804787,0.000050311683,0.00005098428,0.000029976905,0.000041052255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998113,0.00046640588,0.0005824754,0.00016571207,0.000299544,0.00037290537],"domain_scores_gemma":[0.99822223,0.0006720658,0.0000977136,0.0007924741,0.00010445775,0.00011104981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082058413,0.00019305015,0.00035398043,0.0015726312,0.00013385489,0.00008518088,0.0007775043,0.00008342588,0.000055015604],"category_scores_gemma":[0.00019992342,0.00020931498,0.00012177543,0.0039278003,0.000037098744,0.00016684768,0.00003650231,0.00089359866,0.000017772765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021799466,0.00034639123,0.036695417,0.00000975814,0.0005514389,0.000008346291,0.0002604979,0.95412475,0.0009161991,0.0019129749,0.0038381326,0.001314269],"study_design_scores_gemma":[0.0006317541,0.00004975882,0.2489217,0.0000817269,0.00013054258,0.000021415926,0.000016793625,0.7337556,0.0005541972,0.0005239446,0.015005442,0.0003071374],"about_ca_topic_score_codex":0.0000767244,"about_ca_topic_score_gemma":0.0021347078,"teacher_disagreement_score":0.22036919,"about_ca_system_score_codex":0.00062517176,"about_ca_system_score_gemma":0.00003984581,"threshold_uncertainty_score":0.8535617},"labels":[],"label_agreement":null},{"id":"W2054584542","doi":"10.1109/jsac.2013.sup.0513020","title":"Effective Utilization of User Resources in PA-VoD Systems with Channel Heterogeneity","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Computer science; Bandwidth (computing); Computer network; Upload; Cache; Bandwidth allocation; Quality of service; Channel allocation schemes; Provisioning; Quality of experience; Channel (broadcasting); Distributed computing; Operating system; Wireless","score_opus":0.03457848737000129,"score_gpt":0.28394113728462583,"score_spread":0.24936264991462453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054584542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95032555,0.00046384422,0.045596223,0.0020441024,0.00012559695,0.00083606533,0.00000288153,0.00015686436,0.0004488439],"genre_scores_gemma":[0.99215883,0.00017952638,0.007334319,0.00007471726,0.000020508984,0.00019985504,0.0000023290027,0.000013965598,0.000015927306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9980225,0.00063069613,0.00048085465,0.000230117,0.0003316259,0.00030421495],"domain_scores_gemma":[0.9969488,0.0005481631,0.0003215683,0.0015106979,0.0005863636,0.00008442499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005188298,0.00016877441,0.00029409936,0.00075238844,0.0001577192,0.00016871064,0.002563735,0.00011547272,0.0000010227303],"category_scores_gemma":[0.00022562237,0.00014015473,0.000032328753,0.0027356038,0.00009557406,0.00045217096,0.000273361,0.00067471864,0.000011787545],"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":[0.00039548002,0.0058049136,0.33166143,0.00017050329,0.0006687663,0.00008395629,0.018420896,0.48139787,0.016226456,0.022721441,0.00861669,0.11383158],"study_design_scores_gemma":[0.0016244089,0.0012101987,0.7657679,0.0017205155,0.000018608858,0.00026868904,0.00048267952,0.21711157,0.007150515,0.0022278326,0.0017952234,0.000621902],"about_ca_topic_score_codex":0.00023702,"about_ca_topic_score_gemma":0.0010704066,"teacher_disagreement_score":0.4341064,"about_ca_system_score_codex":0.00024564678,"about_ca_system_score_gemma":0.000076672855,"threshold_uncertainty_score":0.5715344},"labels":[],"label_agreement":null},{"id":"W2071707134","doi":"10.1109/jsac.2004.839380","title":"Cognitive radio: brain-empowered wireless communications","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":11988,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Cognitive radio; Computer science; Radio resource management; Wireless; Software-defined radio; Interference (communication); Transmitter power output; Radio spectrum; Transmitter; Channel (broadcasting); Spectrum management; Telecommunications; Wireless network; Cognitive network; Metric (unit); Electromagnetic interference; Control channel; Computer network; Transmission (telecommunications); Engineering","score_opus":0.03392261928679244,"score_gpt":0.30950505400827266,"score_spread":0.27558243472148025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071707134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23360334,0.008354696,0.41730073,0.2638384,0.0013441234,0.0018445839,0.00006615831,0.0011312254,0.07251675],"genre_scores_gemma":[0.9737744,0.0023507988,0.0212408,0.0022019478,0.00022327622,0.000023687255,0.000025833335,0.00003089138,0.00012837305],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967994,0.0011502528,0.00075398124,0.00034229894,0.00040189948,0.0005521829],"domain_scores_gemma":[0.9928138,0.0030751976,0.00039198517,0.0027269972,0.00074004824,0.00025194793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00081433426,0.000283492,0.0003698949,0.0005706796,0.0011583252,0.0004491258,0.0041485727,0.00013474778,0.000020391006],"category_scores_gemma":[0.00037119642,0.00029149876,0.0001406252,0.002143805,0.0002875009,0.0007405843,0.00034292258,0.001936578,0.0000802971],"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":[0.0001714244,0.0044449987,0.0040552733,0.000010783985,0.0005367086,0.00010248562,0.009927411,0.0014986477,0.004372405,0.12479964,0.018347679,0.8317326],"study_design_scores_gemma":[0.005625192,0.0005914027,0.03929909,0.0016361016,0.000092704795,0.0025827144,0.00067229336,0.8639613,0.0020934744,0.0066851396,0.0750373,0.0017233123],"about_ca_topic_score_codex":0.000027473852,"about_ca_topic_score_gemma":0.0010309018,"teacher_disagreement_score":0.86246264,"about_ca_system_score_codex":0.00044228445,"about_ca_system_score_gemma":0.00037337575,"threshold_uncertainty_score":0.9999537},"labels":[],"label_agreement":null},{"id":"W2072433332","doi":"10.1109/jsac.2004.829334","title":"Efficient On-Demand Routing for Mobile Ad Hoc Wireless Access Networks","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Computer science; Dynamic Source Routing; Wireless Routing Protocol; Destination-Sequenced Distance Vector routing; Optimized Link State Routing Protocol; Ad hoc On-Demand Distance Vector Routing; Link-state routing protocol; Zone Routing Protocol; Distributed computing; Ad hoc wireless distribution service; Wireless ad hoc network; Routing protocol; Network packet; Wireless; Telecommunications","score_opus":0.031042464260493473,"score_gpt":0.31459880225380865,"score_spread":0.2835563379933152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072433332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16602063,0.0018148846,0.8269157,0.002045516,0.0008839819,0.0011812403,0.000006207773,0.00021655989,0.00091526954],"genre_scores_gemma":[0.9841178,0.0013466462,0.013278906,0.00063967775,0.00020494612,0.00033701595,0.0000092699065,0.000036281013,0.000029448642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744666,0.00036546486,0.0007397006,0.00040337036,0.00039204504,0.0006527897],"domain_scores_gemma":[0.9953224,0.0013698164,0.00047408056,0.0021344356,0.00047599923,0.00022328069],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009752375,0.0002767902,0.00034797564,0.00031841677,0.0007898945,0.0005926616,0.004966128,0.00016749154,0.00000416986],"category_scores_gemma":[0.00012376563,0.00026183535,0.00013796709,0.0017641303,0.00009542107,0.0002779866,0.00039428912,0.0014557712,0.0000123248865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043208493,0.00066995295,0.00014258927,0.0000036711976,0.000034101795,0.000008070948,0.00043319692,0.95921797,0.00006716187,0.009255749,0.00055900466,0.029565332],"study_design_scores_gemma":[0.002056309,0.00053708925,0.0017748283,0.00061336794,0.000017893477,0.0001241129,0.00003949563,0.98919636,0.00028627864,0.002400173,0.0025354903,0.00041857528],"about_ca_topic_score_codex":0.000007174923,"about_ca_topic_score_gemma":0.00012901079,"teacher_disagreement_score":0.8180972,"about_ca_system_score_codex":0.0005666913,"about_ca_system_score_gemma":0.00033082152,"threshold_uncertainty_score":0.9999834},"labels":[],"label_agreement":null},{"id":"W2075718096","doi":"10.1109/jsac.2013.sup.0513027","title":"A Naming Scheme for P2P Web Hosting","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scalability; Single point of failure; Dynamism; Scheme (mathematics); Peer-to-peer; Overhead (engineering); Resilience (materials science); Fault tolerance; High availability; Computer network; Distributed computing; Web application; World Wide Web; Database; Operating system","score_opus":0.04386765718388657,"score_gpt":0.28839413544397535,"score_spread":0.24452647826008878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075718096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83259153,0.00093378953,0.14604083,0.014616126,0.00074105884,0.0006984641,0.0000064317273,0.00034069142,0.0040310835],"genre_scores_gemma":[0.95301926,0.0001476484,0.04598552,0.00052689516,0.00008353072,0.00007411201,0.0000031842653,0.0000120398,0.0001478202],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987847,0.00019407982,0.00037399272,0.00016647532,0.0001871802,0.000293535],"domain_scores_gemma":[0.9972853,0.0008773562,0.00019444141,0.0010247534,0.0005134535,0.00010469766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044318408,0.000120339544,0.00015458044,0.00028771354,0.0005721725,0.0003959906,0.0020607112,0.000057843183,0.0000062186127],"category_scores_gemma":[0.00044344153,0.000114360315,0.00008125508,0.00066321867,0.000032806813,0.00053770246,0.00015383623,0.00070027,0.00003866519],"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":[0.00011181722,0.0037157636,0.04298028,0.00008188345,0.0005802968,0.00005125473,0.0068913694,0.003790182,0.41519237,0.098571256,0.06552784,0.36250567],"study_design_scores_gemma":[0.0011752602,0.0001910993,0.0075296294,0.00042360957,0.0000108722315,0.000265305,0.00013759675,0.98111945,0.00045658278,0.0032356153,0.005086201,0.00036878636],"about_ca_topic_score_codex":0.000057324865,"about_ca_topic_score_gemma":0.00006838149,"teacher_disagreement_score":0.97732925,"about_ca_system_score_codex":0.00014338421,"about_ca_system_score_gemma":0.00018872606,"threshold_uncertainty_score":0.4663478},"labels":[],"label_agreement":null},{"id":"W2076449723","doi":"10.1109/jsac.2012.120912","title":"ML-Based Channel Estimations for Non-Regenerative Relay Networks with Multiple Transmit and Receive Antennas","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Channel (broadcasting); Singular value decomposition; Transmitter; Computer science; Algorithm; Relay channel; Estimation theory; Statistics; Mathematics; Telecommunications; Power (physics); Physics","score_opus":0.05117325933936758,"score_gpt":0.3013062263809591,"score_spread":0.25013296704159155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076449723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011804701,0.0017228477,0.97834605,0.006930585,0.00017023235,0.0006161736,0.0000080877035,0.00008133123,0.0003199919],"genre_scores_gemma":[0.87151587,0.0017709348,0.12578756,0.0005467463,0.000086384636,0.00020589004,0.00002609105,0.00002194873,0.00003859182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821633,0.00052986905,0.00043891964,0.00021701666,0.00017670273,0.000421187],"domain_scores_gemma":[0.99580383,0.0017769895,0.0002593523,0.0012260062,0.00070930907,0.00022451513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063806254,0.0002272943,0.00026590299,0.00031049323,0.001192133,0.00020936053,0.001357408,0.000095458665,0.0000036092144],"category_scores_gemma":[0.00020667286,0.00019323053,0.00005879423,0.0012426005,0.00014221626,0.00065853435,0.000090950336,0.00083680195,0.000002882333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009077641,0.007862847,0.04367961,0.000073854186,0.00092589884,0.0000143059615,0.038207076,0.67775625,0.00802153,0.0645218,0.012514187,0.1455149],"study_design_scores_gemma":[0.001555622,0.00026779977,0.012434118,0.0002872136,0.000022023829,0.000053705106,0.00006581005,0.9824524,0.00056730694,0.00011066648,0.0018991061,0.0002842267],"about_ca_topic_score_codex":0.0000051731727,"about_ca_topic_score_gemma":0.00039155578,"teacher_disagreement_score":0.85971117,"about_ca_system_score_codex":0.00014885973,"about_ca_system_score_gemma":0.00018445207,"threshold_uncertainty_score":0.91690433},"labels":[],"label_agreement":null},{"id":"W2077671410","doi":"10.1109/jsac.2011.111201","title":"Guest Editorial Advances in Military Networking and Communications","year":2011,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.023615141549841397,"score_gpt":0.29323134056634337,"score_spread":0.26961619901650197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077671410","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000035862682,0.052170314,0.0011837572,0.0007423818,0.943985,0.00033895485,0.00003207911,0.00015721029,0.0013544406],"genre_scores_gemma":[0.002999802,0.18776853,0.012239555,0.000081376835,0.79655766,0.0001124358,0.00015104658,0.000058974936,0.00003060267],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99536455,0.0013766054,0.001256082,0.00055289414,0.0007913816,0.0006584817],"domain_scores_gemma":[0.9871113,0.006591263,0.0006357395,0.0045914827,0.0008354183,0.0002348514],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001587065,0.0004935025,0.00072436285,0.0008183784,0.0007775594,0.00026197088,0.008326926,0.0009122506,0.000002965792],"category_scores_gemma":[0.0010820524,0.00050119346,0.000120109406,0.0019411087,0.00032486534,0.0009789297,0.0010043862,0.0065260814,0.000013075283],"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":[0.000050175207,0.00044923372,0.0006436869,0.000015652462,0.000040991235,0.000011752111,0.00072865724,0.00017756238,0.0000022039412,0.00058018067,0.98952335,0.007776566],"study_design_scores_gemma":[0.0008946605,0.0001819577,0.00041969257,0.0011431391,0.000025963016,0.0000283518,0.000025976993,0.0025009064,0.000001237483,0.0036214865,0.9906555,0.0005011183],"about_ca_topic_score_codex":0.00028062295,"about_ca_topic_score_gemma":0.004700866,"teacher_disagreement_score":0.14742732,"about_ca_system_score_codex":0.00042998214,"about_ca_system_score_gemma":0.00082735275,"threshold_uncertainty_score":0.999744},"labels":[],"label_agreement":null},{"id":"W2079469875","doi":"10.1109/jsac.2013.130324","title":"Designing Two-Dimensional Spectrum Auctions for Mobile Secondary Users","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Spectrum auction; Computer science; Common value auction; Computer network; Frequency allocation; Secondary market; Channel (broadcasting); Externality; Combinatorial auction; Channel allocation schemes; Scarcity; Spectrum management; Microeconomics; Telecommunications; Cognitive radio; Business; Auction theory; Wireless; Economics; Revenue equivalence","score_opus":0.08597836975112576,"score_gpt":0.384071683422099,"score_spread":0.29809331367097325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079469875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8079647,0.00064532104,0.14069086,0.031118685,0.0018346655,0.0036965949,0.00016456532,0.00035209852,0.013532517],"genre_scores_gemma":[0.9737341,0.000047562058,0.023071744,0.00059183064,0.00022619731,0.0007538375,0.00002371655,0.000028461698,0.0015225485],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969297,0.00071637303,0.001057069,0.00034878263,0.00056643685,0.00038164857],"domain_scores_gemma":[0.99173707,0.0049169846,0.0005396349,0.0015460053,0.0010218462,0.00023844342],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001996796,0.00019764887,0.00029547774,0.00073711225,0.0017139119,0.00041082533,0.0018386152,0.000100990415,0.0013894367],"category_scores_gemma":[0.0010674427,0.00016880456,0.00017757024,0.001957195,0.00024634463,0.00071858766,0.00010181106,0.0010379392,0.000670601],"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":[0.00042377852,0.0049594585,0.009559553,0.000012214379,0.00048428602,0.000008500865,0.0040337117,0.31050098,0.08673223,0.1122349,0.34118393,0.12986645],"study_design_scores_gemma":[0.003365745,0.00061885465,0.021339845,0.00014941677,0.000074238545,0.0007472917,0.0031411466,0.03648375,0.012845591,0.82447606,0.095796354,0.00096171786],"about_ca_topic_score_codex":0.000030968553,"about_ca_topic_score_gemma":0.00011865595,"teacher_disagreement_score":0.7122412,"about_ca_system_score_codex":0.00020587603,"about_ca_system_score_gemma":0.00037806967,"threshold_uncertainty_score":0.99958575},"labels":[],"label_agreement":null},{"id":"W2081574256","doi":"10.1109/jsac.2012.121026","title":"Jointly Optimal Channel and Power Assignment for Dual-Hop Multi-Channel Multi-User Relaying","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"","keywords":"Computer science; Relay; Channel (broadcasting); Mathematical optimization; Optimization problem; Computational complexity theory; Transmission (telecommunications); Integer programming; Hop (telecommunications); Channel allocation schemes; Dual (grammatical number); Computer network; Power (physics); Wireless; Algorithm; Telecommunications; Mathematics","score_opus":0.100493455129988,"score_gpt":0.3370818190684847,"score_spread":0.23658836393849672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081574256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021154415,0.00486836,0.9651942,0.0068785255,0.0006767648,0.00073130033,0.0000096819485,0.00015263053,0.0003340687],"genre_scores_gemma":[0.8930058,0.0032608178,0.10253154,0.00066757627,0.00008139289,0.00013367718,0.000008101181,0.000029290766,0.00028180733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764246,0.0006869902,0.0006158476,0.0002582711,0.00024011974,0.0005562957],"domain_scores_gemma":[0.9964908,0.0008623728,0.00032121563,0.0015105774,0.00051963766,0.0002954408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398819,0.0002586181,0.00029313465,0.00037034514,0.0011535126,0.00028149542,0.0015664039,0.00012160622,0.00000856838],"category_scores_gemma":[0.00037297865,0.0002440177,0.000090739115,0.00076072966,0.00009858231,0.0008487707,0.0005756162,0.0010085558,0.000015242922],"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":[0.0010728429,0.045424614,0.026321989,0.0002004001,0.002786506,0.00007694747,0.23276806,0.11680139,0.06943163,0.30892003,0.059446856,0.13674875],"study_design_scores_gemma":[0.0062488453,0.0005287212,0.03278438,0.00068597397,0.000051987703,0.00047486965,0.0010104537,0.917558,0.0019174925,0.00030774777,0.037193853,0.0012376644],"about_ca_topic_score_codex":0.0000039341626,"about_ca_topic_score_gemma":0.000048949994,"teacher_disagreement_score":0.8718514,"about_ca_system_score_codex":0.0002601881,"about_ca_system_score_gemma":0.00011842019,"threshold_uncertainty_score":0.99507535},"labels":[],"label_agreement":null},{"id":"W2082715560","doi":"10.1109/jsac.2012.120512","title":"Efficient On-Demand Data Service Delivery to High-Speed Trains in Cellular/Infostation Integrated Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Bottleneck; Scheduling (production processes); Quality of service; Distributed computing; Provisioning; Schedule; Resource allocation; Mathematical optimization","score_opus":0.038591125500475824,"score_gpt":0.2617042065967713,"score_spread":0.22311308109629546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082715560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845372,0.000720454,0.011895405,0.00050673925,0.00073485,0.0002637178,0.00003566488,0.00011277985,0.0011932229],"genre_scores_gemma":[0.99792755,0.00030736686,0.0011538591,0.00020278942,0.00015960315,0.000015560745,0.00017427602,0.000040342195,0.00001866963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817085,0.00029964308,0.00063839817,0.00016621036,0.0002516786,0.0004731963],"domain_scores_gemma":[0.9977988,0.00035378739,0.0001020387,0.0013317111,0.00020196666,0.00021170636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008360352,0.00021856616,0.00025733848,0.00054713857,0.00018532597,0.000084661595,0.0012590161,0.00013363782,0.000016015392],"category_scores_gemma":[0.00010459403,0.0002062112,0.000028544599,0.0020792708,0.00002059038,0.00017592734,0.000080787686,0.00096692005,0.00004453104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024785144,0.00031118497,0.00043188233,0.0000065195045,0.000023262068,0.000002617984,0.0011098748,0.99221635,0.002893176,0.00022234478,0.00094146904,0.0018165247],"study_design_scores_gemma":[0.00058213575,0.000059174512,0.01265146,0.00036055845,0.000012775126,0.00001828576,0.000309242,0.98206073,0.0003052296,0.00000817356,0.0033663292,0.0002659135],"about_ca_topic_score_codex":0.00030926373,"about_ca_topic_score_gemma":0.001750773,"teacher_disagreement_score":0.013390366,"about_ca_system_score_codex":0.00040684914,"about_ca_system_score_gemma":0.00007224319,"threshold_uncertainty_score":0.8409049},"labels":[],"label_agreement":null},{"id":"W2082884797","doi":"10.1109/jsac.2011.110801","title":"Guest Editorial Advances in Digital Forensics for Communications and Networking","year":2011,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Digital and Cyber Forensics","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 Ottawa","funders":"","keywords":"Network forensics; Digital forensics; Computer science; Computer forensics; Focus (optics); Computer security; Digital evidence; World Wide Web; Telecommunications; Internet privacy","score_opus":0.023795839495848417,"score_gpt":0.2871430264179288,"score_spread":0.2633471869220804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082884797","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000026286887,0.006139804,0.004392797,0.00046641225,0.98296547,0.0005038197,0.00019664239,0.000104979226,0.0052038156],"genre_scores_gemma":[0.006131762,0.035321683,0.012087027,0.0000642749,0.9454866,0.00018277529,0.00053584005,0.00007830333,0.00011171595],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971696,0.00018298034,0.0010262041,0.00043455398,0.000623526,0.00056311645],"domain_scores_gemma":[0.9909134,0.004089679,0.00071322714,0.002842157,0.0012489049,0.00019265643],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006957608,0.0004230405,0.0005953797,0.00049590576,0.0005135727,0.0010444524,0.005773499,0.00059397845,3.589212e-7],"category_scores_gemma":[0.0007554475,0.00041806267,0.00013751832,0.0011107154,0.00038837033,0.0019950736,0.00097404275,0.002887478,0.000005943509],"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":[0.00006782382,0.00043002923,0.00019189338,0.000023623237,0.00005058065,0.0000046003015,0.00053355476,0.000015153694,0.0000015058998,0.006911396,0.92441267,0.0673572],"study_design_scores_gemma":[0.00087017316,0.000275236,0.000020919912,0.0006197365,0.000019474757,0.000018674422,0.000023967279,0.0011807934,0.0000037065313,0.04172269,0.95482147,0.00042318006],"about_ca_topic_score_codex":0.000025238049,"about_ca_topic_score_gemma":0.0013016855,"teacher_disagreement_score":0.06693402,"about_ca_system_score_codex":0.00030577608,"about_ca_system_score_gemma":0.0007186099,"threshold_uncertainty_score":0.99999255},"labels":[],"label_agreement":null},{"id":"W2084014922","doi":"10.1109/jsac.2011.110106","title":"Coalition Formation Games for Distributed Cooperation Among Roadside Units in Vehicular Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Partition (number theory); Computer network; Scheme (mathematics); Vehicular ad hoc network; Stochastic game; Nash equilibrium; Game theory; Wireless ad hoc network; Telecommunications; Wireless; Mathematical optimization","score_opus":0.04781995912228642,"score_gpt":0.2559237373815255,"score_spread":0.2081037782592391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084014922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70465046,0.00011427518,0.2934996,0.00022319428,0.0002067016,0.00062202674,0.00006212177,0.00016462307,0.00045698846],"genre_scores_gemma":[0.996432,0.0003978454,0.0016348391,0.00006357913,0.000032509077,0.00021411187,0.001196285,0.000021546677,0.0000072656535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987753,0.00012790058,0.0006826149,0.00009147644,0.00010729638,0.00021543437],"domain_scores_gemma":[0.9986642,0.00015582662,0.000117822594,0.00039564536,0.00060507574,0.00006141229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003691139,0.000135834,0.00016074399,0.00036676845,0.00018903337,0.000050909464,0.0002893676,0.0001279702,0.00001625137],"category_scores_gemma":[0.00013105078,0.0001482587,0.000034997625,0.0015115689,0.000045828325,0.00052441895,0.000005764148,0.0005644177,0.000002594569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070120615,0.00039729063,0.017909998,0.000023505187,0.0000582822,0.0000032794574,0.0024609035,0.964677,0.0012821583,0.008950745,0.0016465249,0.0025202238],"study_design_scores_gemma":[0.0013116421,0.000077532895,0.31056085,0.00022604353,0.000027591544,0.00001670568,0.00033833645,0.68307805,0.0017598933,0.0005999413,0.0017474148,0.00025602724],"about_ca_topic_score_codex":0.000039265626,"about_ca_topic_score_gemma":0.0043222173,"teacher_disagreement_score":0.29265085,"about_ca_system_score_codex":0.00024228459,"about_ca_system_score_gemma":0.00006292811,"threshold_uncertainty_score":0.6045814},"labels":[],"label_agreement":null},{"id":"W2084099189","doi":"10.1109/jsac.2014.2328143","title":"Distributed Pricing-Based User Association for Downlink Heterogeneous Cellular Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":246,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Coordinate descent; Base station; Beamforming; Telecommunications link; Subgradient method; Transmitter power output; Benchmark (surveying); Mathematical optimization; Optimization problem; Power control; User equipment; Algorithm; Computer network; Power (physics); Transmitter; Mathematics; Telecommunications","score_opus":0.012165979632562506,"score_gpt":0.24118474523042416,"score_spread":0.22901876559786166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084099189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076296185,0.0002569252,0.9905368,0.00029554995,0.00041341083,0.00040735074,0.000031781736,0.00023016451,0.00019841081],"genre_scores_gemma":[0.9867677,0.00015802892,0.012309655,0.000080138794,0.00019434789,0.00009585117,0.00030361916,0.000058731763,0.00003194698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854815,0.00026322185,0.0005650092,0.00013002676,0.00015682248,0.00033677722],"domain_scores_gemma":[0.9974892,0.0009975628,0.00027708136,0.00067961426,0.00046149746,0.000095047406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051984616,0.00018342468,0.00025343604,0.00020584604,0.00027445884,0.000086584,0.0005002505,0.00019110588,0.0000045610495],"category_scores_gemma":[0.00047873624,0.00019665048,0.00008055208,0.0006446749,0.000016315362,0.000133555,0.000015988453,0.0006215111,0.000006391569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014219975,0.000071405964,0.001108508,0.000009925071,0.000039495346,4.791762e-7,0.000030793497,0.99630666,0.0009983827,0.00009870039,0.0007366195,0.0005848124],"study_design_scores_gemma":[0.00087930815,0.000069773785,0.0004161802,0.00012213674,0.000028928562,0.000007560524,0.0000055246355,0.988289,0.002026492,0.00014045117,0.0078056394,0.00020897796],"about_ca_topic_score_codex":0.000003656321,"about_ca_topic_score_gemma":0.00009266782,"teacher_disagreement_score":0.9791381,"about_ca_system_score_codex":0.0009225295,"about_ca_system_score_gemma":0.00004119297,"threshold_uncertainty_score":0.8019174},"labels":[],"label_agreement":null},{"id":"W2087447400","doi":"10.1109/jsac.2013.130801","title":"Guest Editorial: Theories and Methods for Advanced Wireless Relays — Issue II","year":2013,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Wireless; Telecommunications; Focus (optics); Wireless network; The Internet; Relay; Computer security; Multimedia; World Wide Web","score_opus":0.02470772696548005,"score_gpt":0.37398796460564204,"score_spread":0.349280237640162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087447400","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025954354,0.0053081247,0.070357494,0.0033978005,0.91881114,0.0010290928,0.000023111277,0.00017556605,0.00087173184],"genre_scores_gemma":[0.0004889717,0.062440284,0.14402387,0.00016207501,0.79096717,0.0007701739,0.00013803404,0.000082487444,0.0009269281],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99501055,0.002368211,0.0010600428,0.00053323345,0.00051786297,0.00051010074],"domain_scores_gemma":[0.9806684,0.011657466,0.00088117004,0.0033676939,0.0031868548,0.00023839847],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002652801,0.0004990297,0.0007794063,0.00050685013,0.0020367336,0.0007620203,0.005969713,0.0007294197,0.00001263826],"category_scores_gemma":[0.0039349063,0.00046812661,0.00013407772,0.001216993,0.00025076198,0.00079784665,0.0012430175,0.003879947,0.00001073184],"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":[0.000035072797,0.00019501966,0.0000024876397,0.000015886812,0.0000705194,5.305481e-7,0.0009593449,0.000028357246,0.00039422925,0.010708973,0.9330377,0.054551896],"study_design_scores_gemma":[0.001000259,0.00033654904,0.000008805791,0.0005529091,0.00003083644,0.000011426732,0.000035853485,0.0050453427,0.00019014289,0.0045272526,0.98777276,0.0004878846],"about_ca_topic_score_codex":0.000009899357,"about_ca_topic_score_gemma":0.00012761215,"teacher_disagreement_score":0.12784395,"about_ca_system_score_codex":0.00038721485,"about_ca_system_score_gemma":0.00081754004,"threshold_uncertainty_score":0.999777},"labels":[],"label_agreement":null},{"id":"W2087752598","doi":"10.1109/jsac.2014.2330151","title":"Performance of Full-Duplex AF Relaying in the Presence of Residual Self-Interference","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Akron","keywords":"Pairwise error probability; Computer science; Diversity gain; Coding gain; Interference (communication); Residual; Topology (electrical circuits); Superposition principle; Bit error rate; Algorithm; Transmission (telecommunications); Control theory (sociology); Mathematics; Telecommunications; Fading; Decoding methods; Channel (broadcasting)","score_opus":0.025993638118406135,"score_gpt":0.2616165675550605,"score_spread":0.2356229294366544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087752598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966328,0.0003987911,0.00033636627,0.00059679465,0.00008273848,0.00019989387,0.0000067663645,0.00006184061,0.0016839786],"genre_scores_gemma":[0.9906242,0.0029798127,0.006254186,0.000025450527,0.000028830274,0.000045875793,0.00000797572,0.000025613908,0.000008084826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976574,0.00076162966,0.00088963733,0.00011356518,0.00030971505,0.00026803507],"domain_scores_gemma":[0.9950921,0.002160416,0.00027803954,0.0021078368,0.00031193465,0.000049653314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011109232,0.00017273599,0.0002967502,0.00041627494,0.00017992717,0.0000335354,0.003051229,0.00010199826,0.0000111098625],"category_scores_gemma":[0.00050304324,0.00014945454,0.00005394546,0.0013418125,0.00015879377,0.00023637824,0.00012287826,0.0014622945,0.000006725704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007081939,0.0006066375,0.019725911,0.00009725027,0.00006776917,0.000001152386,0.007341801,0.93377626,0.03264272,0.002158342,0.00053662277,0.0029746972],"study_design_scores_gemma":[0.0005754762,0.0002222694,0.07338171,0.00080351875,0.000021145725,0.000087404915,0.0004220121,0.9208344,0.0029291974,0.00003235797,0.00048804854,0.00020242998],"about_ca_topic_score_codex":0.000038144408,"about_ca_topic_score_gemma":0.00047965578,"teacher_disagreement_score":0.053655796,"about_ca_system_score_codex":0.00013642437,"about_ca_system_score_gemma":0.00009640159,"threshold_uncertainty_score":0.63530236},"labels":[],"label_agreement":null},{"id":"W2088397325","doi":"10.1109/jsac.2012.120214","title":"Joint Zero-Forcing Based Precoder Design for QoS-Aware Power Allocation in MIMO Cooperative Cellular Network","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Base station; Transmitter power output; MIMO; Computer network; Quality of service; Relay; RSS; Enhanced Data Rates for GSM Evolution; Cellular network; Transmission (telecommunications); Interference (communication); Real-time computing; Power (physics); Channel (broadcasting); Telecommunications; Transmitter","score_opus":0.09895340924816749,"score_gpt":0.3111637100563262,"score_spread":0.21221030080815872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088397325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058834963,0.0019102792,0.98612535,0.0038859635,0.0005499501,0.00092192437,0.0000029830555,0.00009267289,0.00062738935],"genre_scores_gemma":[0.90034705,0.00081767834,0.097433634,0.0008961367,0.00013582902,0.00024661544,0.000026097021,0.000030435085,0.00006653737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959503,0.0019779697,0.0008619068,0.0002782075,0.00027447427,0.0006571852],"domain_scores_gemma":[0.995093,0.0016867188,0.00037952274,0.0017676931,0.0008687223,0.0002043556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025844648,0.00028173532,0.00036045507,0.00044033673,0.00086776883,0.000272215,0.0021670547,0.0001431722,0.000031990636],"category_scores_gemma":[0.0004206912,0.00027602914,0.000099663965,0.001998152,0.00007482023,0.0008958755,0.00022217336,0.001092199,0.000017982824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032234998,0.0042066653,0.009700006,0.000035927707,0.0002303284,0.000008028484,0.013699958,0.8308387,0.019846702,0.060197916,0.036769684,0.024143783],"study_design_scores_gemma":[0.0020740503,0.0003300326,0.008839409,0.00073788,0.000020793505,0.000029806251,0.0001184688,0.9687954,0.0063935784,0.0010003306,0.010993573,0.00066665414],"about_ca_topic_score_codex":0.000006173274,"about_ca_topic_score_gemma":0.00014506503,"teacher_disagreement_score":0.89446354,"about_ca_system_score_codex":0.0005354859,"about_ca_system_score_gemma":0.0004251982,"threshold_uncertainty_score":0.9999692},"labels":[],"label_agreement":null},{"id":"W2089048768","doi":"10.1109/49.887912","title":"Influence of modularity and economy-of-scale effects on design of mesh-restorable DWDM networks","year":2000,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Modular design; Modularity (biology); Network topology; Wavelength-division multiplexing; Distributed computing; Graph; Spare part; Network planning and design; Node (physics); Rounding; Mesh networking; Mathematical optimization; Topology (electrical circuits); Theoretical computer science; Computer network; Telecommunications; Mathematics; Operations management","score_opus":0.01336600935626836,"score_gpt":0.24159504326709402,"score_spread":0.22822903391082566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089048768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97945493,0.001056925,0.018173382,0.00009098689,0.000023565506,0.00020363658,0.0000027377628,0.00007466853,0.00091918046],"genre_scores_gemma":[0.964059,0.002962425,0.03291707,0.000015641586,0.0000105982435,0.000013860493,0.0000012334131,0.0000163256,0.000003866579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907583,0.00013706154,0.00043598647,0.0000866692,0.000086081905,0.00017834474],"domain_scores_gemma":[0.997886,0.0011311563,0.00012279363,0.00068641483,0.00012416959,0.00004945698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021025294,0.00012484881,0.00030607273,0.0001639685,0.00006366491,0.00000854607,0.00056963443,0.0001323595,0.0000045417837],"category_scores_gemma":[0.00013090696,0.000124425,0.000030263938,0.000546885,0.00017678774,0.000136494,0.000032139797,0.0007392871,8.96624e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038236212,0.0000872624,0.0012831206,0.000022115366,0.000030102738,0.0000010776538,0.000046786998,0.9844191,0.0018129299,0.00052721234,0.000039582617,0.011692448],"study_design_scores_gemma":[0.0009864045,0.00063299306,0.039108016,0.0013026538,0.00004725509,0.00004083773,0.000019476705,0.9168568,0.022683315,0.017750718,0.00022386308,0.00034763542],"about_ca_topic_score_codex":0.0000058093688,"about_ca_topic_score_gemma":0.000009683463,"teacher_disagreement_score":0.0675623,"about_ca_system_score_codex":0.00007436577,"about_ca_system_score_gemma":0.000024424358,"threshold_uncertainty_score":0.50739044},"labels":[],"label_agreement":null},{"id":"W2089242380","doi":"10.1109/jsac.2014.2369611","title":"Connectivity of Cognitive Device-to-Device Communications Underlying Cellular Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Underlay; Cellular network; Computer network; Base station; Interference (communication); Spectral efficiency; Wireless; Stochastic geometry; Distributed computing; Telecommunications; Signal-to-noise ratio (imaging); Channel (broadcasting); Mathematics","score_opus":0.04957185230626924,"score_gpt":0.30811931139440424,"score_spread":0.258547459088135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089242380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078787744,0.0010906016,0.9119385,0.00041311097,0.00027020744,0.00060069957,0.000016484364,0.00022205741,0.0066605904],"genre_scores_gemma":[0.9848255,0.00080699014,0.014002188,0.00011372358,0.000056037537,0.00006992165,0.00004945647,0.00006305115,0.000013158041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783653,0.0007517899,0.00075731566,0.00015928922,0.00018067959,0.00031441596],"domain_scores_gemma":[0.9944432,0.0027517704,0.00028976655,0.0016391728,0.00071737077,0.00015872865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070119137,0.00022594823,0.0003881979,0.00043660201,0.00037528016,0.00005536071,0.0012848778,0.0001440913,0.000009194759],"category_scores_gemma":[0.00075747696,0.00025583964,0.000068624475,0.001564869,0.00010514266,0.00027164593,0.0001238981,0.0011122074,0.000018202467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002695175,0.00028953765,0.0022822535,0.000028924027,0.00012062544,9.80875e-7,0.0010499883,0.98132825,0.005569375,0.0018624318,0.00014804787,0.007292624],"study_design_scores_gemma":[0.0010969593,0.00015939811,0.006100236,0.0015072154,0.00007710606,0.000040921073,0.00053457444,0.9860361,0.0020794205,0.0005693289,0.0013212325,0.00047749802],"about_ca_topic_score_codex":0.00003214223,"about_ca_topic_score_gemma":0.00071185187,"teacher_disagreement_score":0.90603775,"about_ca_system_score_codex":0.00029856758,"about_ca_system_score_gemma":0.00006564947,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W2090709584","doi":"10.1109/jsac.2012.120222","title":"A Distributed Multi-Service Resource Allocation Algorithm in Heterogeneous Wireless Access Medium","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Multihoming; Base station; Computer network; Wireless network; Resource allocation; Radio resource management; Wireless; Algorithm; Bandwidth (computing); Heterogeneous network; Distributed computing; Telecommunications; The Internet","score_opus":0.08049653532620309,"score_gpt":0.358224660653129,"score_spread":0.2777281253269259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090709584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14656827,0.003623233,0.8044815,0.04160332,0.0007354808,0.0015659926,0.000048387956,0.0005175723,0.00085626263],"genre_scores_gemma":[0.9670189,0.0016123268,0.03016264,0.0007095917,0.0001312498,0.00018770921,0.00011081514,0.000039583752,0.000027204196],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9944311,0.0025486276,0.0010046181,0.00034076377,0.00075689313,0.0009180107],"domain_scores_gemma":[0.9931328,0.001432642,0.00045719015,0.0037103195,0.00085189956,0.00041513192],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0020815094,0.00030154863,0.00037975964,0.00087617483,0.0004746479,0.0005294643,0.010129176,0.00022462639,0.000010993496],"category_scores_gemma":[0.00030094982,0.0003081213,0.0000776845,0.0053717596,0.00012424281,0.0015251256,0.0013947019,0.0023300068,0.00004837163],"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":[0.00041139426,0.02879155,0.12784718,0.00014331442,0.00065302156,0.00016834408,0.02121394,0.18202241,0.007980604,0.01319364,0.013190735,0.6043839],"study_design_scores_gemma":[0.0017101597,0.0000692154,0.06767354,0.00035453818,0.000009937125,0.00031883808,0.00011198723,0.91875046,0.0013053064,0.0002540781,0.008921828,0.0005200821],"about_ca_topic_score_codex":0.00019739052,"about_ca_topic_score_gemma":0.0016410935,"teacher_disagreement_score":0.8204506,"about_ca_system_score_codex":0.00084849045,"about_ca_system_score_gemma":0.00040776795,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W2091123125","doi":"10.1109/jsac.2014.2332011","title":"Guest Editorial for the Special Series on Smart Grid Communications","year":2014,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Smart Grid Energy Management","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":"Toronto Metropolitan University","funders":"","keywords":"Smart grid; Computer science; Special section; Demand response; Grid; Telecommunications; Energy management; Load management; Range (aeronautics); Distributed computing; Computer security; Electrical engineering; Electricity; Energy (signal processing); Engineering","score_opus":0.018704461401902,"score_gpt":0.2691460952647464,"score_spread":0.2504416338628444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091123125","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010987597,0.00045259733,0.00043640097,0.002696598,0.9869401,0.0006820623,0.000308931,0.000253717,0.008218591],"genre_scores_gemma":[0.0005465342,0.010406799,0.000918403,0.000079578895,0.98582,0.00066328584,0.0009909451,0.00019459857,0.00037983473],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963983,0.00059119705,0.0011063253,0.00030314922,0.0010076223,0.0005933623],"domain_scores_gemma":[0.9845081,0.008686763,0.0004169324,0.005264091,0.00096815126,0.00015599128],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0013694458,0.0005963299,0.0006388802,0.000559901,0.0012998501,0.00042848522,0.006293201,0.0007627149,0.000020337],"category_scores_gemma":[0.0020416495,0.0005195413,0.0002660168,0.0007974472,0.00029082087,0.00021565285,0.00027964704,0.0050835633,0.00008849385],"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":[0.00010507565,0.00018334844,0.000005923084,0.000025281635,0.00030150282,9.90817e-7,0.00013075312,0.02352575,0.000009841385,0.0008104936,0.97452027,0.0003807582],"study_design_scores_gemma":[0.0009406422,0.00023843952,0.00006168936,0.0003619268,0.00016300636,0.000006516777,0.00004345969,0.0033828064,0.000029427545,0.00029194323,0.99398637,0.0004937652],"about_ca_topic_score_codex":0.000048797752,"about_ca_topic_score_gemma":0.0026715575,"teacher_disagreement_score":0.020142945,"about_ca_system_score_codex":0.001025194,"about_ca_system_score_gemma":0.00033257902,"threshold_uncertainty_score":0.99975276},"labels":[],"label_agreement":null},{"id":"W2091387011","doi":"10.1109/jsac.2014.2367751","title":"Guest Editorial Series on Molecular, Biological, and Multiscale Communication (First Issue)","year":2014,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Molecular Communication and Nanonetworks","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":"York University","funders":"","keywords":"Computer science; Series (stratigraphy); Molecular communication; Data science; Telecommunications; Biology","score_opus":0.011433841721686525,"score_gpt":0.25606472038239614,"score_spread":0.24463087866070962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091387011","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008092779,0.0074721463,0.0004854927,0.0018011705,0.98245156,0.00070350076,0.000110739296,0.00037764534,0.00578848],"genre_scores_gemma":[0.04356685,0.12603645,0.0032682472,0.00014082761,0.8248124,0.00024207747,0.001491967,0.0002441992,0.0001969838],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960358,0.0013319468,0.0010771888,0.00035783264,0.00070474733,0.00049249403],"domain_scores_gemma":[0.992147,0.0028309894,0.0004368161,0.0036456108,0.0006809121,0.0002586144],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0009992146,0.00062258774,0.00075907854,0.00054086803,0.0007577929,0.00034217414,0.002920854,0.001529271,0.000031974447],"category_scores_gemma":[0.0013511187,0.0006170122,0.00015455949,0.00073268596,0.00034941337,0.00017566772,0.00032576747,0.005854066,0.00009866237],"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":[0.00008810126,0.00023197694,0.00002101548,0.000026526184,0.00011625339,0.0000046723717,0.00016186788,0.0024773309,0.0002640629,0.000115258925,0.9957344,0.0007585524],"study_design_scores_gemma":[0.0010278685,0.00027596788,0.0000645374,0.00086486374,0.000047237452,0.000022080854,0.000022266162,0.0018747553,0.00019264518,0.00022908745,0.9947754,0.0006032626],"about_ca_topic_score_codex":0.000025386144,"about_ca_topic_score_gemma":0.0005091773,"teacher_disagreement_score":0.15763915,"about_ca_system_score_codex":0.00040451187,"about_ca_system_score_gemma":0.000132794,"threshold_uncertainty_score":0.99976695},"labels":[],"label_agreement":null},{"id":"W2095010751","doi":"10.1109/jsac.2012.121011","title":"Distributed Opportunistic Channel Access in Wireless Relay Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Relay; Optimal stopping; Computer network; Channel (broadcasting); Throughput; Wireless network; Wireless; Transmission (telecommunications); Stopping time; Channel state information; Mathematical optimization; Telecommunications; Mathematics; Statistics; Power (physics)","score_opus":0.1038579147569856,"score_gpt":0.3465843828383741,"score_spread":0.24272646808138854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095010751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0741175,0.0042983517,0.89577436,0.017028837,0.0017007338,0.00082838023,0.00001959385,0.0003603643,0.005871858],"genre_scores_gemma":[0.9878463,0.009703743,0.0015471142,0.00060235703,0.0001248285,0.00006229963,0.000052837415,0.000019542797,0.000040932904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968963,0.0012706523,0.0007387409,0.00021267809,0.00026924367,0.00061236613],"domain_scores_gemma":[0.99590355,0.0009384746,0.0003394068,0.0021449581,0.00037758236,0.0002960024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347213,0.00022773106,0.00030923326,0.0004905822,0.00059056876,0.00037322356,0.0051915804,0.00013057681,0.000018230092],"category_scores_gemma":[0.00027225935,0.00022374505,0.00006584343,0.0031246454,0.000097755525,0.0011990494,0.0007825055,0.0018036703,0.000016300157],"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":[0.00025096038,0.011831757,0.18920988,0.00004044069,0.0003522586,0.00013486024,0.009265142,0.100800134,0.0014416106,0.4511584,0.029134294,0.20638025],"study_design_scores_gemma":[0.0012662396,0.00009231744,0.14258032,0.00055214524,0.000014105909,0.00021920443,0.00006783774,0.84554917,0.000095496,0.0008013393,0.0081355935,0.00062623026],"about_ca_topic_score_codex":0.000012553917,"about_ca_topic_score_gemma":0.00031497,"teacher_disagreement_score":0.91372883,"about_ca_system_score_codex":0.00043435828,"about_ca_system_score_gemma":0.00021547964,"threshold_uncertainty_score":0.9647334},"labels":[],"label_agreement":null},{"id":"W2096079521","doi":"10.1109/jsac.2007.071202","title":"Characterizing Peer-to-Peer Streaming Flows","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Bandwidth (computing); Peer-to-peer; Computer network; Server; Upload; World Wide Web","score_opus":0.037605225110638824,"score_gpt":0.31407590511332834,"score_spread":0.2764706800026895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096079521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5762758,0.00019060868,0.31358436,0.100000046,0.0013009981,0.00062974234,0.000013189481,0.0011085513,0.006896638],"genre_scores_gemma":[0.8148578,0.00006784371,0.18292925,0.0015743684,0.00016223143,0.000027044305,0.000008161408,0.00002830406,0.00034504666],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996744,0.0002248217,0.0008066482,0.00040315982,0.0009726323,0.0008487671],"domain_scores_gemma":[0.99434453,0.0008794001,0.00026962432,0.002847201,0.0012958549,0.00036340178],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0024617736,0.00029222653,0.00033822042,0.0014040412,0.000631452,0.00048036219,0.006427789,0.00018017893,0.000007739863],"category_scores_gemma":[0.0016116931,0.0002946035,0.000086389045,0.004107064,0.000055940072,0.0005683611,0.00082797103,0.0017783236,0.0001590511],"study_design_candidate":"design_other","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":[0.00015670962,0.001837414,0.014132042,0.000014575684,0.00023509309,0.00036224246,0.010789014,0.006701057,0.10843658,0.023225373,0.04074941,0.7933605],"study_design_scores_gemma":[0.0022963162,0.0013322515,0.32566652,0.0015723122,0.000052374686,0.0017242751,0.0010171975,0.04922891,0.03703423,0.007732645,0.5695885,0.0027544652],"about_ca_topic_score_codex":0.00003485309,"about_ca_topic_score_gemma":0.00067099027,"teacher_disagreement_score":0.790606,"about_ca_system_score_codex":0.00057803304,"about_ca_system_score_gemma":0.00019675335,"threshold_uncertainty_score":0.9999506},"labels":[],"label_agreement":null},{"id":"W2097915928","doi":"10.1109/jsac.2007.070911","title":"Tomlinson-Harashima Precoding for Broadcast Channels with Uncertainty","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Telecommunications link; Computer science; Channel state information; Channel (broadcasting); Transmitter; Mathematical optimization; MIMO; Control theory (sociology); Constraint (computer-aided design); Robustness (evolution); Convex optimization; Wireless; Mathematics; Telecommunications; Regular polygon","score_opus":0.029403754219449515,"score_gpt":0.292263319400884,"score_spread":0.2628595651814345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097915928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044576038,0.00059590326,0.94995034,0.00024013722,0.00052646693,0.0007167376,0.000020953432,0.0002868291,0.0030866084],"genre_scores_gemma":[0.96030253,0.0004822398,0.03873558,0.00004397613,0.00019700064,0.00006759526,0.000032902728,0.00006179682,0.0000763706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988044,0.000064595304,0.0004949768,0.00013037145,0.00013698394,0.00036868904],"domain_scores_gemma":[0.9981774,0.00057450857,0.00015125051,0.00059342413,0.0003878813,0.00011555033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000514728,0.00018255768,0.00021985361,0.00035768122,0.00027371343,0.00007981861,0.00050908024,0.00009625624,0.000006576496],"category_scores_gemma":[0.0001333017,0.00017284682,0.000043425818,0.00078147615,0.000036838526,0.00029474776,0.000017341228,0.00057884294,0.000005370987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079238336,0.00008356936,0.0005237386,0.000019375888,0.000049973372,0.0000032451835,0.00052527443,0.9901535,0.001754048,0.000289535,0.00034299042,0.0061755],"study_design_scores_gemma":[0.004603351,0.00059101137,0.0026658056,0.0016456748,0.00007569626,0.0006578168,0.00081321644,0.9485354,0.0120791625,0.0009446531,0.026217112,0.0011711353],"about_ca_topic_score_codex":0.000008200534,"about_ca_topic_score_gemma":0.00032472558,"teacher_disagreement_score":0.9157265,"about_ca_system_score_codex":0.00047456168,"about_ca_system_score_gemma":0.00005913553,"threshold_uncertainty_score":0.7048489},"labels":[],"label_agreement":null},{"id":"W2098143839","doi":"10.1109/jsac.2002.1003046","title":"Availability analysis of span-restorable mesh networks","year":2002,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":247,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Spare part; Process (computing); Mesh networking; Distributed computing; Modular design; Reliability engineering; Dual (grammatical number); Computer network; Telecommunications; Operations management","score_opus":0.03326561017618952,"score_gpt":0.2672701624712476,"score_spread":0.23400455229505807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098143839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8433354,0.010971112,0.118790105,0.001775693,0.00064165454,0.0006149119,0.000038656024,0.001600164,0.022232292],"genre_scores_gemma":[0.97711146,0.007334584,0.015422736,0.000025605223,0.00002548134,0.000014696983,0.000006730724,0.000021386933,0.000037316207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986875,0.00012829475,0.00058549823,0.00012216085,0.00017596288,0.0003005605],"domain_scores_gemma":[0.99730515,0.0008898066,0.00012586862,0.0013943886,0.00020841973,0.00007633537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024923464,0.00015402175,0.00038880965,0.00054487254,0.00012777443,0.00002687268,0.0009867986,0.00015262174,0.00013555493],"category_scores_gemma":[0.0003951189,0.00015227724,0.00011417143,0.0039981194,0.00016571114,0.0001425629,0.000058563128,0.0012075815,0.000011405143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065498975,0.00019840992,0.00727063,0.0000038737867,0.00034548508,0.00000252525,0.000059565875,0.9832009,0.00022060526,0.000903287,0.0014993519,0.006288801],"study_design_scores_gemma":[0.00018348248,0.00004660497,0.012854648,0.00005219064,0.00015599637,0.0000071755576,0.000028779834,0.98428935,0.00012608357,0.00058822735,0.0015024109,0.00016506719],"about_ca_topic_score_codex":0.0000057818033,"about_ca_topic_score_gemma":0.00022277467,"teacher_disagreement_score":0.13377605,"about_ca_system_score_codex":0.00024836583,"about_ca_system_score_gemma":0.000010441613,"threshold_uncertainty_score":0.6209686},"labels":[],"label_agreement":null},{"id":"W2098277401","doi":"10.1109/jsac.2003.810337","title":"Serially concatenated space-time codes with iterative decoding and performance limits of block-fading channels","year":2003,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Fading; Computer science; Algorithm; Block code; Decoding methods; Rayleigh fading; Concatenated error correction code; Channel (broadcasting); Bit error rate; Code rate; Convolutional code; Telecommunications; Topology (electrical circuits); Mathematics","score_opus":0.022078619554639144,"score_gpt":0.2636139638415099,"score_spread":0.2415353442868708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098277401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906282,0.00091147085,0.00404292,0.00017726372,0.000055276167,0.000291635,0.00000813899,0.00022579834,0.003659296],"genre_scores_gemma":[0.967209,0.006029019,0.026613424,0.000021017853,0.00001228479,0.00003732324,0.000007775486,0.000042547916,0.000027618567],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99875116,0.00027912267,0.00047023082,0.00011562999,0.00014796953,0.00023586393],"domain_scores_gemma":[0.99809664,0.0005053127,0.0002244534,0.000703637,0.00038330164,0.00008662225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003368011,0.00020388336,0.00032416734,0.00036782483,0.00026271245,0.000060779617,0.0005553476,0.00009115237,0.000008921648],"category_scores_gemma":[0.00014303745,0.00019164752,0.00002437552,0.0008137703,0.00014101173,0.00035031047,0.000032751657,0.00074348727,0.0000025522143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003826713,0.00080521073,0.021029055,0.00020341674,0.000726011,0.000018031738,0.011047751,0.44296816,0.49990976,0.010016613,0.00058434665,0.012308972],"study_design_scores_gemma":[0.002541665,0.0008639663,0.0067168837,0.0029189063,0.0000730325,0.00071121246,0.00044168264,0.24233063,0.7395071,0.0009196701,0.0019311295,0.0010441352],"about_ca_topic_score_codex":0.0000031113457,"about_ca_topic_score_gemma":0.000022775777,"teacher_disagreement_score":0.23959732,"about_ca_system_score_codex":0.00016035601,"about_ca_system_score_gemma":0.00006823968,"threshold_uncertainty_score":0.78151584},"labels":[],"label_agreement":null},{"id":"W2098857789","doi":"10.1109/jsac.2012.120920","title":"Fair Scheduling and Resource Allocation for Wireless Cellular Network with Shared Relays","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Relay; Computer network; Frequency reuse; Scheduling (production processes); Beamforming; Wireless; Base station; Wireless network; Resource allocation; Backhaul (telecommunications); Distributed computing; Telecommunications; Mathematical optimization","score_opus":0.049001630630752684,"score_gpt":0.28698898809993334,"score_spread":0.23798735746918065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098857789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09288606,0.0064358716,0.887255,0.010386556,0.00022997396,0.0009278694,0.0000034840898,0.00019470668,0.0016804747],"genre_scores_gemma":[0.9008523,0.0018106644,0.09651152,0.00043649614,0.00017903112,0.00011613827,0.000021091433,0.000021893236,0.000050852603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981643,0.0005746173,0.00042797666,0.00020154599,0.00020419262,0.0004273659],"domain_scores_gemma":[0.9967255,0.0009405442,0.0002835599,0.0014206106,0.00043724984,0.00019252348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011696988,0.00018222418,0.00021876587,0.00019764641,0.0010571812,0.00027234416,0.0016960441,0.00008741064,0.0000039616984],"category_scores_gemma":[0.0001295539,0.00016481218,0.00004069215,0.0012027328,0.00008554142,0.0007007111,0.00024895417,0.00079061417,0.000004475867],"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":[0.00050246343,0.0025779046,0.044840552,0.00007304968,0.0004914712,0.000008430024,0.018870736,0.053725168,0.016593505,0.61549646,0.012144469,0.2346758],"study_design_scores_gemma":[0.0036809358,0.000633543,0.027223466,0.0015835622,0.0000784495,0.00032820768,0.00043683933,0.8435803,0.0021874085,0.0023315058,0.11668716,0.0012486026],"about_ca_topic_score_codex":0.0000021907238,"about_ca_topic_score_gemma":0.0000711136,"teacher_disagreement_score":0.80796623,"about_ca_system_score_codex":0.00015502029,"about_ca_system_score_gemma":0.00012823955,"threshold_uncertainty_score":0.8131089},"labels":[],"label_agreement":null},{"id":"W2099546942","doi":"10.1109/jsac.2010.100602","title":"Provisioning mission-critical telerobotic control systems over internet backbone networks with essentially-perfect QoS","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Computer science; Computer network; Quality of service; Token bucket; Voice over IP; The Internet; Jitter; Backbone network; Backup; Provisioning; Queueing theory; Distributed computing; Telecommunications; Operating system","score_opus":0.01582757175042726,"score_gpt":0.27776643564655895,"score_spread":0.2619388638961317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099546942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054930497,0.0004692441,0.9351024,0.002279475,0.0049398197,0.0005947516,0.0000021690792,0.00019266664,0.0014889792],"genre_scores_gemma":[0.99381196,0.0000654233,0.004935755,0.00025050956,0.0006925666,0.00004028952,0.0000039239253,0.00003305068,0.00016652502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99681556,0.0009762874,0.00084259675,0.00037188677,0.00046182325,0.00053186965],"domain_scores_gemma":[0.99526423,0.0017150268,0.00035271957,0.0016162355,0.0007576635,0.00029414217],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0011473426,0.0002846773,0.00044165592,0.00036234487,0.0005547831,0.0009952034,0.0022754236,0.00021860926,0.000039635936],"category_scores_gemma":[0.00035197302,0.00021646389,0.00010177122,0.0009872323,0.00014176081,0.0005698786,0.0001420266,0.0026513422,0.000023802657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007573852,0.004116254,0.027521748,0.0001241144,0.00087356986,0.0004419707,0.0026544277,0.72676116,0.01794565,0.17489979,0.032783538,0.011120399],"study_design_scores_gemma":[0.0012211759,0.00035901158,0.0023767059,0.000923828,0.000023749135,0.0014929987,0.000039489652,0.9900335,0.00008180778,0.000093197836,0.003030051,0.00032446726],"about_ca_topic_score_codex":0.000111702524,"about_ca_topic_score_gemma":0.00036433447,"teacher_disagreement_score":0.93888146,"about_ca_system_score_codex":0.00014525047,"about_ca_system_score_gemma":0.0002528784,"threshold_uncertainty_score":0.9996496},"labels":[],"label_agreement":null},{"id":"W2099726047","doi":"10.1109/jsac.2011.110413","title":"QoS Provisioning for Heterogeneous Services in Cooperative Cognitive Radio Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Quality of service; Cognitive radio; Computer network; Provisioning; Resource allocation; Blocking (statistics); Frequency allocation; Channel (broadcasting); Admission control; Channel allocation schemes; Resource management (computing); Call Admission Control; Distributed computing; Wireless; Wireless network; Telecommunications","score_opus":0.03840817487842613,"score_gpt":0.28467733807495343,"score_spread":0.2462691631965273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099726047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2987648,0.0024847712,0.69118065,0.0009557477,0.0008789206,0.0016003051,0.000012337244,0.00017594405,0.0039465236],"genre_scores_gemma":[0.98662317,0.00073766045,0.011973139,0.00040693278,0.00015422914,0.000055085464,0.000011188986,0.0000228418,0.000015780653],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979358,0.00055191934,0.00055377267,0.00031647552,0.00017518163,0.00046686016],"domain_scores_gemma":[0.9972703,0.0011153594,0.00027046975,0.0006101022,0.0006051349,0.00012866508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054515526,0.00021976305,0.00031059224,0.0003960368,0.0005364692,0.00023463376,0.0012903789,0.00010818949,0.000007690387],"category_scores_gemma":[0.000111158806,0.00020816592,0.00008185056,0.0012631301,0.00007895101,0.00045547,0.0001379067,0.00093804055,0.000004026893],"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":[0.0028469337,0.009866022,0.05252025,0.000105219464,0.001381992,0.0011481901,0.08173865,0.19627504,0.0019520313,0.04772503,0.0012744501,0.6031662],"study_design_scores_gemma":[0.0020288748,0.0006269081,0.016295748,0.0011478217,0.000024392124,0.00050569366,0.0003094638,0.97569484,0.000986417,0.0016268834,0.000302393,0.00045057054],"about_ca_topic_score_codex":0.000054667078,"about_ca_topic_score_gemma":0.0016672745,"teacher_disagreement_score":0.7794198,"about_ca_system_score_codex":0.000198457,"about_ca_system_score_gemma":0.00017029705,"threshold_uncertainty_score":0.84887594},"labels":[],"label_agreement":null},{"id":"W2100074754","doi":"10.1109/jsac.2005.863862","title":"Optimal ACK mechanisms of the IEEE 802.15.3 MAC for ultra-wideband systems","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Throughput; Channel (broadcasting); Network allocation vector; Wireless; Transmission (telecommunications); Control channel; Wireless network; IEEE 802.11; Telecommunications; Base station","score_opus":0.028964369912634767,"score_gpt":0.28434984730905943,"score_spread":0.25538547739642464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100074754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0090330625,0.000392335,0.9814228,0.0025315182,0.00079019956,0.004187942,0.00002731584,0.000072690505,0.0015421705],"genre_scores_gemma":[0.9803948,0.00007807972,0.018104339,0.00013790032,0.00016671978,0.0009166418,0.000004006477,0.000019538997,0.00017799647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979742,0.0004986995,0.00067936786,0.00018670797,0.00033174176,0.00032927794],"domain_scores_gemma":[0.99648345,0.0008755004,0.00052185624,0.0015632752,0.00048637495,0.00006955099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007236293,0.00017016374,0.0002792291,0.00015030552,0.0005133644,0.00023635331,0.0033318554,0.00011741909,0.00000339477],"category_scores_gemma":[0.00006175547,0.00012509701,0.00013634295,0.0009695716,0.00007694614,0.00023690633,0.0000794933,0.0006311423,0.0000034113848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001723784,0.001689786,0.0018530916,0.00009556006,0.00017892274,0.00000784049,0.0006906875,0.5385612,0.054367065,0.35687837,0.04077767,0.004727439],"study_design_scores_gemma":[0.006588922,0.0014440806,0.008749288,0.0031743282,0.00011423562,0.000890103,0.00015493274,0.72374547,0.1267828,0.081942655,0.044896748,0.0015164381],"about_ca_topic_score_codex":0.00006945177,"about_ca_topic_score_gemma":0.00013433416,"teacher_disagreement_score":0.9713617,"about_ca_system_score_codex":0.000117153286,"about_ca_system_score_gemma":0.00022751493,"threshold_uncertainty_score":0.6191472},"labels":[],"label_agreement":null},{"id":"W2100909350","doi":"10.1109/jsac.2014.141109","title":"Dynamic Spectrum Access in Multi-Channel Cognitive Radio Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","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":"University of Waterloo","funders":"","keywords":"Cognitive radio; Computer science; Optimization problem; Mathematical optimization; Channel (broadcasting); Convex optimization; Bipartite graph; Channel allocation schemes; Graph; Algorithm; Theoretical computer science; Computer network; Regular polygon; Telecommunications; Wireless; Mathematics","score_opus":0.03634752558972938,"score_gpt":0.3123992826211243,"score_spread":0.27605175703139495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100909350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035662293,0.0006778845,0.9578157,0.0036180285,0.0005368244,0.00031664965,0.0000025798915,0.00011417188,0.001255853],"genre_scores_gemma":[0.994089,0.0017818048,0.0033660338,0.0005674636,0.000106518964,0.000016000353,0.000010724125,0.000028683797,0.00003376939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970001,0.0010675732,0.0006414485,0.00038483928,0.00027303203,0.00063301896],"domain_scores_gemma":[0.9966553,0.0015569046,0.000321835,0.0010156987,0.00026316463,0.00018708632],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00092458504,0.00027208205,0.00038913463,0.00074114103,0.00047005998,0.0005275037,0.0024710922,0.00013865066,0.0000069740527],"category_scores_gemma":[0.00032517675,0.00027480035,0.000097916214,0.0024228615,0.00012041859,0.0006743791,0.0003013692,0.0019599672,0.000012500617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041864222,0.006077895,0.022672964,0.000027696553,0.00043308368,0.00047082177,0.005536913,0.7851417,0.00026295884,0.012720637,0.0013558177,0.16488086],"study_design_scores_gemma":[0.0013954836,0.00011345081,0.08854233,0.00044721534,0.000010004526,0.00025314878,0.000032884716,0.90608317,0.00004188692,0.002652598,0.00012990412,0.0002979202],"about_ca_topic_score_codex":0.00007371743,"about_ca_topic_score_gemma":0.004517575,"teacher_disagreement_score":0.9584267,"about_ca_system_score_codex":0.0004059116,"about_ca_system_score_gemma":0.00015534379,"threshold_uncertainty_score":0.99997044},"labels":[],"label_agreement":null},{"id":"W2102659255","doi":"10.1109/jsac.2008.081009","title":"Distributed beamforming in wireless relay networks with quantized feedback","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Computer science; Beamforming; Upper and lower bounds; Synchronization (alternating current); Asynchronous communication; Bit error rate; Signal-to-noise ratio (imaging); Diversity gain; Wireless; Wireless network; Control theory (sociology); Diversity combining; Topology (electrical circuits); Algorithm; Telecommunications; Mathematics; Decoding methods; Fading; MIMO; Channel (broadcasting)","score_opus":0.04857823550778225,"score_gpt":0.28659306463539236,"score_spread":0.2380148291276101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102659255","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46140343,0.001361085,0.52784646,0.006479537,0.00025027376,0.000499056,0.0000043115747,0.0002323114,0.0019235673],"genre_scores_gemma":[0.96952486,0.010839392,0.019153973,0.00030610143,0.00004169469,0.000040927473,0.000025989406,0.00002052111,0.00004652247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973502,0.000893157,0.0007140351,0.0002685987,0.0003162053,0.00045778294],"domain_scores_gemma":[0.9961464,0.0008536375,0.00033456078,0.0020302648,0.00047641358,0.00015874665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069681276,0.0002377474,0.00035828288,0.0004444478,0.0009390143,0.000163482,0.0033012154,0.00011133978,0.00000864938],"category_scores_gemma":[0.00013247303,0.0002095327,0.00006109755,0.003699865,0.0001721085,0.00060720165,0.00031947513,0.001893905,0.000011313424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010452397,0.0073575783,0.23345484,0.00002707391,0.0004630447,0.00065957045,0.014508539,0.517966,0.004079217,0.110261925,0.009726391,0.10045063],"study_design_scores_gemma":[0.0035553146,0.00029560286,0.10144322,0.00085907825,0.000011033035,0.0011245792,0.00010763275,0.8863272,0.0002841904,0.00019346272,0.0051156054,0.0006830782],"about_ca_topic_score_codex":0.000019159403,"about_ca_topic_score_gemma":0.0009729561,"teacher_disagreement_score":0.50869244,"about_ca_system_score_codex":0.00037061964,"about_ca_system_score_gemma":0.00033292867,"threshold_uncertainty_score":0.85444957},"labels":[],"label_agreement":null},{"id":"W2102859083","doi":"10.1109/jsac.2009.090502","title":"Sage: a strong privacy-preserving scheme against global eavesdropping for ehealth systems","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":219,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Ontario Tech University","funders":"","keywords":"Eavesdropping; Computer science; eHealth; Adversary; Scheme (mathematics); Software deployment; Computer security; Information privacy; Cryptography; Internet privacy; Health care","score_opus":0.045704178790714714,"score_gpt":0.33703626263929365,"score_spread":0.29133208384857895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102859083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07875911,0.0032642633,0.90532357,0.008321378,0.0006131791,0.0008696274,0.00009359185,0.00027960812,0.0024756943],"genre_scores_gemma":[0.90148336,0.00083497254,0.097009964,0.00047320384,0.00013134339,0.000026973097,0.000029013256,0.000008193852,0.0000029953696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977363,0.00043302643,0.00066578377,0.00029633337,0.00034521736,0.0005233646],"domain_scores_gemma":[0.99625665,0.00041451788,0.00038268598,0.0023387067,0.00037083714,0.00023658112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089223945,0.00020028675,0.0002843821,0.00029045742,0.00085591513,0.0005865604,0.004620392,0.000106242995,0.0000014845649],"category_scores_gemma":[0.0003925038,0.00020061167,0.000115688425,0.0018357418,0.00004671877,0.0008640351,0.00029702633,0.00085558556,0.000003585489],"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":[0.00019969197,0.0032077953,0.014263772,0.00012300575,0.00024334497,0.00004156364,0.0029572635,0.006106218,0.0034736611,0.85629326,0.012229218,0.10086123],"study_design_scores_gemma":[0.004336922,0.0010532001,0.08309026,0.002557051,0.000039523744,0.00047097975,0.00046061852,0.8214142,0.00018830803,0.04951473,0.035588097,0.0012861255],"about_ca_topic_score_codex":0.00004668746,"about_ca_topic_score_gemma":0.00012157495,"teacher_disagreement_score":0.8227242,"about_ca_system_score_codex":0.0003657416,"about_ca_system_score_gemma":0.0003809026,"threshold_uncertainty_score":0.8585915},"labels":[],"label_agreement":null},{"id":"W2102965185","doi":"10.1109/jsac.2010.101008","title":"Keychain-Based Signatures for Securing BGP","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Hash function; Computer network; Border Gateway Protocol; Software deployment; Overhead (engineering); Merkle tree; Public-key cryptography; Authentication (law); The Internet; Distributed computing; Routing protocol; Computer security; Hash chain; Routing (electronic design automation); Operating system","score_opus":0.02088796696257487,"score_gpt":0.28947777796883767,"score_spread":0.2685898110062628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102965185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1900264,0.0002543628,0.800125,0.006484773,0.0010877603,0.00033909874,0.0000069500156,0.00020122483,0.0014744428],"genre_scores_gemma":[0.95451707,0.000020583711,0.044628248,0.00056937034,0.00017112691,0.000026565109,0.000007301022,0.00001525895,0.000044507935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985188,0.00020577092,0.00046680248,0.00022191701,0.00025646648,0.00033023683],"domain_scores_gemma":[0.99726087,0.0010252133,0.00026321952,0.00083441735,0.0004992516,0.00011701798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008242535,0.0001614635,0.00021284066,0.00040677979,0.0004932404,0.00029463772,0.002793134,0.00012682454,0.000014960767],"category_scores_gemma":[0.00036315894,0.00014452531,0.00015478356,0.000751837,0.000056832698,0.00018613008,0.00008062727,0.0016019922,0.000008417423],"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":[0.00008074054,0.0015927007,0.0008040729,0.000023329954,0.00022986173,0.000026050644,0.0033355732,0.12752666,0.013891762,0.81825286,0.0065791667,0.027657202],"study_design_scores_gemma":[0.00053656707,0.00009507034,0.00064073346,0.000082369785,0.00001280954,0.000028483344,0.000025801624,0.9898363,0.0012020337,0.00041214918,0.0069281016,0.00019957742],"about_ca_topic_score_codex":0.0000062236313,"about_ca_topic_score_gemma":0.00070166466,"teacher_disagreement_score":0.86230963,"about_ca_system_score_codex":0.00007469917,"about_ca_system_score_gemma":0.00021518928,"threshold_uncertainty_score":0.6959948},"labels":[],"label_agreement":null},{"id":"W2103127461","doi":"10.1109/jsac.2012.121111","title":"Spectrum-Aware Opportunistic Routing in Multi-Hop Cognitive Radio Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Cognitive radio; Geographic routing; Relay; Performance metric; Routing protocol; Exploit; Metrics; Channel (broadcasting); Dynamic Source Routing; Throughput; Distributed computing; Routing (electronic design automation); Wireless; Telecommunications; Computer security","score_opus":0.06346824116564526,"score_gpt":0.3125873279097428,"score_spread":0.24911908674409755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103127461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07417229,0.0013312431,0.9171513,0.0026192018,0.0010155624,0.0004991716,0.000007909204,0.00018497075,0.00301837],"genre_scores_gemma":[0.99216837,0.0014077106,0.0055914437,0.0004022617,0.00032715,0.000013680117,0.000017649403,0.000031493088,0.000040264407],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967757,0.0009723596,0.0007421569,0.000294707,0.00030072563,0.0009143621],"domain_scores_gemma":[0.9964793,0.0016593587,0.0003743017,0.0008945783,0.0002635662,0.0003289071],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012214129,0.00028614543,0.00039072512,0.0005624072,0.0005741641,0.00027635068,0.0013759505,0.00014330748,0.000017072405],"category_scores_gemma":[0.00039363015,0.0002921091,0.00010195316,0.0021296174,0.00011408681,0.00070704456,0.00021986991,0.0021118792,0.000018158398],"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":[0.00040656282,0.011225929,0.52211213,0.000035130823,0.0007050908,0.001200736,0.01999964,0.02224843,0.0008272909,0.12451235,0.0023752742,0.2943514],"study_design_scores_gemma":[0.0015332091,0.00010507383,0.15213737,0.00076534535,0.000025042547,0.0008262744,0.00027059682,0.8431342,0.00006332583,0.00044017736,0.00021637417,0.00048299727],"about_ca_topic_score_codex":0.000052714342,"about_ca_topic_score_gemma":0.0009221063,"teacher_disagreement_score":0.91799605,"about_ca_system_score_codex":0.0005237215,"about_ca_system_score_gemma":0.00023541758,"threshold_uncertainty_score":0.9999531},"labels":[],"label_agreement":null},{"id":"W2103134420","doi":"10.1109/jsac.2005.853805","title":"Block-error rate model for DPSK in Rayleigh- and sub-Rayleigh-fading channels","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Rayleigh fading; Computer science; Fading; Phase-shift keying; Bit error rate; Algorithm; Markov chain; Channel state information; Transmission (telecommunications); Modulation (music); Block Error Rate; Synchronization (alternating current); Keying; Electronic engineering; Error detection and correction; Rayleigh scattering; Telecommunications; Channel (broadcasting); Wireless; Optics; Physics; Engineering","score_opus":0.04226267067053916,"score_gpt":0.30626092946155004,"score_spread":0.26399825879101085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103134420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85580516,0.003957192,0.13208151,0.004541765,0.00019112059,0.0013188312,0.00004564113,0.0008470762,0.0012117195],"genre_scores_gemma":[0.94273645,0.008189328,0.04846377,0.00014261057,0.00006691926,0.0002688659,0.000016773216,0.000074991774,0.00004028298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834144,0.00020665725,0.0007263514,0.00018185252,0.0001366969,0.00040697845],"domain_scores_gemma":[0.9976244,0.00073258224,0.00015849901,0.001133104,0.00022429104,0.0001271157],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006133781,0.00025827033,0.00034784977,0.00069497986,0.00029491851,0.00008396651,0.0010926467,0.0001628012,0.0000032128617],"category_scores_gemma":[0.00018045955,0.00028640244,0.00005980535,0.0007408426,0.00008562332,0.0004580662,0.000096485346,0.0012133898,0.0000044660023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057084202,0.00026909498,0.0004304386,0.00002577515,0.000043812553,0.0000017721901,0.0013587157,0.95729464,0.02727649,0.002430624,0.0007506361,0.010060938],"study_design_scores_gemma":[0.0008791427,0.00004234157,0.0005187124,0.0002827372,0.000011692207,0.000038982645,0.000044500008,0.97121286,0.0206737,0.003544394,0.0024217751,0.00032914244],"about_ca_topic_score_codex":0.0000041829053,"about_ca_topic_score_gemma":0.00042199565,"teacher_disagreement_score":0.08693131,"about_ca_system_score_codex":0.0005013443,"about_ca_system_score_gemma":0.00007369799,"threshold_uncertainty_score":0.9999588},"labels":[],"label_agreement":null},{"id":"W2103550819","doi":"10.1109/jsac.2009.090605","title":"Optimized multipath network coding in lossy wireless networks","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Unicast; Linear network coding; Retransmission; Network packet; Multicast; Distributed computing; Wireless network; Network congestion; Multiple description coding; Testbed; Wireless; Telecommunications","score_opus":0.04461161403530175,"score_gpt":0.3111233799775617,"score_spread":0.26651176594225995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103550819","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04604916,0.005605715,0.9198113,0.018192206,0.00096833304,0.0009316011,0.0000020753494,0.00043471012,0.0080049215],"genre_scores_gemma":[0.93714815,0.015906025,0.04530169,0.0013962238,0.00015658366,0.000019863155,0.000008985473,0.000016420048,0.000046071877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963764,0.001488552,0.00090047665,0.00031866907,0.00029427084,0.0006216374],"domain_scores_gemma":[0.99571633,0.001069559,0.00036255852,0.0022567376,0.00040547267,0.00018934341],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014603892,0.0002727968,0.00042633552,0.00045790832,0.0007594332,0.00039642508,0.004310108,0.00014879322,0.000013705217],"category_scores_gemma":[0.00018996456,0.00027334952,0.000097567725,0.0034163422,0.000079879326,0.00058409263,0.00031387658,0.0021705353,0.000012545705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014153385,0.0014895189,0.0048260526,0.0000032074386,0.000054154352,0.000063977095,0.002242947,0.65987307,0.00046273952,0.07727798,0.0044695544,0.24909525],"study_design_scores_gemma":[0.0016589484,0.00012794138,0.0199524,0.00051571405,0.0000056411927,0.000086943546,0.000027949074,0.97384393,0.000045189765,0.0011528454,0.0022208649,0.00036162214],"about_ca_topic_score_codex":0.0000068558484,"about_ca_topic_score_gemma":0.00023338852,"teacher_disagreement_score":0.891099,"about_ca_system_score_codex":0.00039726085,"about_ca_system_score_gemma":0.00020576244,"threshold_uncertainty_score":0.99997187},"labels":[],"label_agreement":null},{"id":"W2104257655","doi":"10.1109/49.983348","title":"On bandwidth-efficient multiuser-space-time signal design and detection","year":2002,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Single antenna interference cancellation; Fading; Multiuser detection; Detector; Minimum mean square error; Bandwidth (computing); Transmission (telecommunications); Base station; Coding gain; Interference (communication); Electronic engineering; Channel (broadcasting); Algorithm; Telecommunications; Decoding methods; Mathematics","score_opus":0.026363392163291994,"score_gpt":0.25216485089662455,"score_spread":0.22580145873333254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104257655","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23200934,0.0031322096,0.75450915,0.0015111347,0.00022215204,0.0012033166,0.00001401835,0.0017715343,0.005627152],"genre_scores_gemma":[0.9702767,0.0037548968,0.025682818,0.00006395988,0.000027592674,0.00008209002,0.000003344277,0.00005516996,0.000053428852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845636,0.00044984903,0.00044098467,0.00015340622,0.0002227006,0.00027670164],"domain_scores_gemma":[0.9973144,0.0011630788,0.00013029583,0.0010891858,0.00017481827,0.0001282403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034004866,0.00022651497,0.00022972212,0.0005180434,0.00040589014,0.00008234434,0.0007474391,0.00013445455,0.00006795038],"category_scores_gemma":[0.00014582912,0.00023426347,0.00004586967,0.00076057366,0.000096250165,0.00015083594,0.000053966345,0.001280557,0.00006383941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006278118,0.0006847199,0.00005696681,0.000011089667,0.00007028706,0.0000067768924,0.0008262559,0.85107714,0.076305576,0.00065619283,0.0018114534,0.068430744],"study_design_scores_gemma":[0.0005759837,0.00019717048,0.00052725914,0.0001943536,0.0000122360725,0.000083369014,0.000020923304,0.9603553,0.035466608,0.00073332794,0.0015438264,0.00028966338],"about_ca_topic_score_codex":0.000003486839,"about_ca_topic_score_gemma":0.000013747065,"teacher_disagreement_score":0.73826736,"about_ca_system_score_codex":0.00037093193,"about_ca_system_score_gemma":0.0000146143775,"threshold_uncertainty_score":0.9552987},"labels":[],"label_agreement":null},{"id":"W2107807801","doi":"10.1109/jsac.2012.121118","title":"Asymptotic Analysis of Interference in Cognitive Radio Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cognitive radio; Poisson point process; Computer science; Interference (communication); Poisson distribution; Fading; Exponential distribution; Asymptotic analysis; Cumulant; Point process; Statistical physics; Exponential function; Applied mathematics; Topology (electrical circuits); Mathematics; Algorithm; Statistics; Telecommunications; Physics; Wireless; Decoding methods; Mathematical analysis","score_opus":0.029485585206039982,"score_gpt":0.29335908893535667,"score_spread":0.26387350372931667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107807801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2787327,0.0032417215,0.71352845,0.000049547518,0.00037152608,0.00029833402,0.000015164408,0.00009257404,0.0036700168],"genre_scores_gemma":[0.9964816,0.0012865451,0.002104167,0.00001207703,0.000036240257,0.00002066116,0.000028970719,0.000019428233,0.000010289427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880195,0.00023844393,0.00056127104,0.00006921856,0.000086731314,0.00024241768],"domain_scores_gemma":[0.9985264,0.0006110083,0.00016146176,0.00042582912,0.00019939327,0.00007589838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033484533,0.00012100633,0.00031034203,0.0009399581,0.000050375143,0.000016504026,0.00038775857,0.00008319111,0.000023829578],"category_scores_gemma":[0.00019081424,0.00012759451,0.000057505415,0.003001835,0.000041955285,0.0002731487,0.000025025878,0.0006689906,0.0000028253069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013405514,0.00014279739,0.05565185,0.000004167247,0.00024248089,6.681451e-7,0.0008183834,0.94159687,0.00022866225,0.00011642388,0.00003248188,0.0011518258],"study_design_scores_gemma":[0.000495628,0.000037422466,0.10536583,0.00044801555,0.00020429869,0.000021546375,0.00025691747,0.8926084,0.00030791774,0.00003548181,0.00002401892,0.00019451595],"about_ca_topic_score_codex":0.000013496212,"about_ca_topic_score_gemma":0.00036449873,"teacher_disagreement_score":0.71774894,"about_ca_system_score_codex":0.0002771396,"about_ca_system_score_gemma":0.000025000489,"threshold_uncertainty_score":0.5203153},"labels":[],"label_agreement":null},{"id":"W2109714708","doi":"10.1109/jsac.2007.070219","title":"Joint optimization of relay-precoders and decoders with partial channel side information in cooperative networks","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":185,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Relay; Computer science; Channel state information; Beamforming; Relay channel; Decoding methods; Terminal (telecommunication); Channel (broadcasting); Computer network; Transmission (telecommunications); Joint (building); Telecommunications; Wireless; Engineering","score_opus":0.03420949191589935,"score_gpt":0.27794404214119417,"score_spread":0.24373455022529483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109714708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026540035,0.00042341254,0.9696514,0.0018385901,0.00009045808,0.00029898758,0.0000011090269,0.000037815276,0.0011181707],"genre_scores_gemma":[0.96198636,0.0046522375,0.032977566,0.00032118324,0.000017445416,0.000017328766,0.000013597629,0.000008633646,0.0000056495683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816275,0.00046569348,0.0007647029,0.0001380581,0.00020593041,0.00026285372],"domain_scores_gemma":[0.9975587,0.00052753545,0.00041075615,0.00079419394,0.0006033962,0.00010540451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012277861,0.00015553723,0.00023728737,0.00058580906,0.00031469608,0.00013973568,0.00088790164,0.000089573856,0.000004036096],"category_scores_gemma":[0.00023015257,0.0001412172,0.000026386171,0.0017153777,0.0001282255,0.0011255866,0.00017171302,0.0008114254,0.000001160777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071377384,0.00013712015,0.0010456406,0.0000027484987,0.000020539035,0.000001948899,0.0023656252,0.9818156,0.00004780762,0.0028418878,0.00005824603,0.011591485],"study_design_scores_gemma":[0.0010631798,0.00018803035,0.006876793,0.0002626378,0.000005616404,0.000053422955,0.00029371298,0.99047667,0.0003398863,0.000063243104,0.00020398777,0.0001728206],"about_ca_topic_score_codex":0.0000181869,"about_ca_topic_score_gemma":0.0010451913,"teacher_disagreement_score":0.9366739,"about_ca_system_score_codex":0.00017959625,"about_ca_system_score_gemma":0.0001727322,"threshold_uncertainty_score":0.575867},"labels":[],"label_agreement":null},{"id":"W2109956620","doi":"10.1109/jsac.2008.081023","title":"A design framework for limited feedback MIMO systems with zero-forcing DFE","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","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":"McMaster University","funders":"","keywords":"Codebook; Transmitter; Computer science; Rayleigh fading; MIMO; Precoding; Channel state information; Control theory (sociology); Equalization (audio); Channel (broadcasting); Fading; Algorithm; Electronic engineering; Telecommunications; Wireless","score_opus":0.06374955952981218,"score_gpt":0.29156627818174197,"score_spread":0.2278167186519298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109956620","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011691572,0.0016922589,0.98383504,0.00035114653,0.00012800602,0.0008372267,0.000010351285,0.00072190975,0.0007324992],"genre_scores_gemma":[0.67335457,0.0045663477,0.32150248,0.0000582385,0.000044188637,0.00034090545,0.00001578186,0.00008410022,0.000033390137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981757,0.00033029888,0.000669859,0.00016682809,0.00024959116,0.00040774193],"domain_scores_gemma":[0.9950957,0.0020671128,0.00025573614,0.0018992205,0.0005411777,0.00014108451],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036550593,0.00028403586,0.00038549266,0.00047402634,0.0006497974,0.00008553297,0.0015411861,0.00020373905,0.0000038273197],"category_scores_gemma":[0.00026971145,0.00027126493,0.00006467624,0.0012532711,0.00013272399,0.0003125281,0.000050801595,0.0015383068,0.0000092081855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027983022,0.00051759434,0.0010446795,0.00007664295,0.00028574374,0.000017565639,0.0021131986,0.9701401,0.005648254,0.010679229,0.004918122,0.0042790114],"study_design_scores_gemma":[0.0041258754,0.0013645692,0.0036614663,0.0060214913,0.00013612908,0.0023961333,0.00067890645,0.9128656,0.02693293,0.017444989,0.021983976,0.002387932],"about_ca_topic_score_codex":0.000009349115,"about_ca_topic_score_gemma":0.000017079901,"teacher_disagreement_score":0.66233253,"about_ca_system_score_codex":0.00045444444,"about_ca_system_score_gemma":0.00013152295,"threshold_uncertainty_score":0.99997395},"labels":[],"label_agreement":null},{"id":"W2110168847","doi":"10.1109/jsac.2005.857191","title":"An automated policy-based management framework for differentiated communication systems","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Flexibility (engineering); Quality of service; Distributed computing; A priori and a posteriori; Network management; Wireless; Wireless network; Computer network; Systems management; Telecommunications","score_opus":0.029575433781827337,"score_gpt":0.3382452541997779,"score_spread":0.30866982041795055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110168847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0116131175,0.00069308607,0.97332555,0.010036194,0.00034908848,0.0017726216,0.000016052365,0.0012184713,0.0009757967],"genre_scores_gemma":[0.75957125,0.0006636605,0.23806763,0.0009389326,0.00012298203,0.00047436208,0.000086201195,0.000035438727,0.000039513874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99636865,0.0012535139,0.000918277,0.0003901243,0.0004891855,0.00058022706],"domain_scores_gemma":[0.9930734,0.00086352753,0.0005816787,0.004784383,0.0004568205,0.00024020264],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0010496355,0.00030929036,0.00033213414,0.0010825212,0.0008324986,0.00072378624,0.005937697,0.00015354299,0.000008548659],"category_scores_gemma":[0.000098445475,0.00031113887,0.00011095979,0.0024102745,0.00007891951,0.00055438164,0.00025960192,0.0008089995,0.000032134565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008499128,0.0024139571,0.00043276395,0.000042597097,0.00023122145,0.0000072740177,0.00042580054,0.4907353,0.00014020782,0.46571997,0.0073530735,0.032412853],"study_design_scores_gemma":[0.0012357666,0.00019641862,0.0038900073,0.0005315838,0.000035263693,0.000012904678,0.000044727436,0.98027235,0.000121388155,0.0032407076,0.010090914,0.00032793797],"about_ca_topic_score_codex":0.00004610038,"about_ca_topic_score_gemma":0.00012499111,"teacher_disagreement_score":0.7479582,"about_ca_system_score_codex":0.0011160079,"about_ca_system_score_gemma":0.00023629553,"threshold_uncertainty_score":0.9999341},"labels":[],"label_agreement":null},{"id":"W2110744854","doi":"10.1109/jsac.2008.080211","title":"Iterative frequency domain channel estimation for dft-precoded ofdm systems using in-band pilots","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Frequency domain; Channel (broadcasting); Interference (communication); Single antenna interference cancellation; Frequency-division multiplexing; Multiplexing; Spectral efficiency; Algorithm; Precoding; Electronic engineering; Telecommunications; Engineering; MIMO; Computer vision","score_opus":0.06339705254167242,"score_gpt":0.315648045836058,"score_spread":0.25225099329438555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110744854","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49313262,0.0022260395,0.5005126,0.00028738586,0.00031034698,0.0012806618,0.000051126914,0.0004434282,0.0017558034],"genre_scores_gemma":[0.89338386,0.0018874545,0.1042628,0.000027299777,0.00004387196,0.0002838595,0.000045058652,0.000056186786,0.000009639061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981246,0.00035898705,0.000841687,0.00015752824,0.00019107638,0.0003261208],"domain_scores_gemma":[0.9974864,0.0006735167,0.00026182822,0.0010939953,0.00039510752,0.000089132795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000403354,0.00023975344,0.00035731675,0.0007072842,0.00046571033,0.00006519345,0.0009671039,0.00014507148,0.0000031154998],"category_scores_gemma":[0.00020183712,0.00026137076,0.000059441998,0.0010227417,0.00009952356,0.00051894144,0.000034694836,0.0009208377,0.000003415627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068017835,0.0005402223,0.0013268495,0.00007186479,0.00009019707,0.0000119906435,0.004836318,0.9503422,0.036813732,0.004134781,0.00041820479,0.0013456418],"study_design_scores_gemma":[0.0015706598,0.00016932675,0.0026730637,0.0011627327,0.000015767264,0.00038416559,0.00027925588,0.9694904,0.008237991,0.015175647,0.0002701353,0.00057084276],"about_ca_topic_score_codex":0.000045281922,"about_ca_topic_score_gemma":0.00018326065,"teacher_disagreement_score":0.4002512,"about_ca_system_score_codex":0.00086857995,"about_ca_system_score_gemma":0.00011827215,"threshold_uncertainty_score":0.99998385},"labels":[],"label_agreement":null},{"id":"W2111159763","doi":"10.1109/49.974661","title":"Design of a meta-mesh of chain subnetworks: enhancing the attractiveness of mesh-restorable WDM networking on low connectivity graphs","year":2002,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Computer science; Mesh networking; Distributed computing; Computer network; Spare part; Backbone network; Optical mesh network; Shared mesh; Path (computing); Topology (electrical circuits); Theoretical computer science; Wireless mesh network; Telecommunications; Mathematics","score_opus":0.06757365478070981,"score_gpt":0.2722416191382224,"score_spread":0.2046679643575126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111159763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62888986,0.014220667,0.3524253,0.0005816877,0.00058639754,0.0011943851,0.000018483397,0.0003797327,0.0017034854],"genre_scores_gemma":[0.9848165,0.0045739235,0.01046577,0.000014282602,0.00003330683,0.000051973555,0.0000014123076,0.00003790268,0.0000049141804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978174,0.00059612637,0.00081123173,0.00014246095,0.00028835007,0.00034440414],"domain_scores_gemma":[0.99274683,0.005260668,0.0004784162,0.0011595249,0.00030593318,0.00004860186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000977098,0.00023542048,0.00066140917,0.0003106567,0.00018262822,0.000015954236,0.0010943292,0.00016621723,0.000017591934],"category_scores_gemma":[0.00042991308,0.00018616901,0.00015442452,0.0018079346,0.00028676557,0.00015975369,0.00006483249,0.0013972986,0.0000010705841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056293517,0.00032814004,0.0002652491,0.000025187022,0.00050728535,0.000002611624,0.00024607187,0.982487,0.009537602,0.0023784556,0.00009713485,0.0040689446],"study_design_scores_gemma":[0.001074217,0.0006722634,0.0028640344,0.0018043474,0.0005082195,0.00007685871,0.00031769558,0.9354206,0.045427267,0.011050036,0.0001956602,0.0005888249],"about_ca_topic_score_codex":0.000010774818,"about_ca_topic_score_gemma":0.000060205413,"teacher_disagreement_score":0.35592666,"about_ca_system_score_codex":0.0001529277,"about_ca_system_score_gemma":0.000031447336,"threshold_uncertainty_score":0.75917524},"labels":[],"label_agreement":null},{"id":"W2111308842","doi":"10.1109/jsac.2004.829342","title":"oEvolve : Toward Evolutionary Overlay Topologies for High-Bandwidth Data Dissemination","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"PlanetLab; Computer science; Network topology; Testbed; Overlay network; Computer network; Overlay; Distributed computing; Throughput; Quality of service; Dissemination; Overlay multicast; Bandwidth (computing); Routing (electronic design automation); The Internet; Wireless; Telecommunications","score_opus":0.06477464549766751,"score_gpt":0.3455923242920603,"score_spread":0.2808176787943928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111308842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028824124,0.0011690775,0.8551907,0.11164738,0.00092252437,0.0007706189,0.00012451166,0.00080000615,0.0005510795],"genre_scores_gemma":[0.72813207,0.0005280623,0.27080923,0.00023993387,0.00007580543,0.00007210824,0.00008343196,0.000013076715,0.00004630185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813175,0.00014865675,0.0005098757,0.0004032649,0.00037465506,0.0004318166],"domain_scores_gemma":[0.99463624,0.0010350923,0.00025271982,0.003445712,0.0005264318,0.000103832404],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0006200633,0.00020625847,0.0002533689,0.0005569772,0.0005191371,0.00022229183,0.008002384,0.00015426787,0.000003346444],"category_scores_gemma":[0.0012725629,0.00019543915,0.000051028106,0.0017000068,0.00013689583,0.00090510765,0.0010566035,0.00075002655,0.00001816812],"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":[0.00023734738,0.0031497432,0.004107698,0.000039969986,0.00033795406,0.00005747302,0.0035997871,0.035089593,0.005561173,0.47581106,0.250974,0.22103418],"study_design_scores_gemma":[0.0048052464,0.0023857872,0.16813064,0.0016724196,0.00011125473,0.0008308206,0.0008424558,0.09189071,0.009352262,0.65981317,0.057895094,0.0022701183],"about_ca_topic_score_codex":0.00004857388,"about_ca_topic_score_gemma":0.00022115094,"teacher_disagreement_score":0.6993079,"about_ca_system_score_codex":0.00065122376,"about_ca_system_score_gemma":0.00036186175,"threshold_uncertainty_score":0.9973648},"labels":[],"label_agreement":null},{"id":"W2111388916","doi":"10.1109/jsac.2011.110511","title":"On the Impact of Link Scheduling on End-to-End Delays in Large Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; End-to-end principle; Scheduling (production processes); End-to-end delay; Network delay; Multiplexing; Hop (telecommunications); Statistical time division multiplexing; Computer network; Distributed computing; Mathematical optimization; Mathematics; Telecommunications","score_opus":0.040576233895283774,"score_gpt":0.2916289727300065,"score_spread":0.25105273883472273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111388916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7081045,0.0006026378,0.272554,0.008347451,0.0005378208,0.0007087653,0.000011286296,0.00012874858,0.0090048],"genre_scores_gemma":[0.9952396,0.00028422577,0.0036309375,0.00069351174,0.00009182126,0.000028964374,0.0000022929999,0.000013955443,0.000014699521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783003,0.0007620116,0.00054810644,0.00019787799,0.00026378754,0.0003981871],"domain_scores_gemma":[0.99619484,0.0016484787,0.00027887846,0.0014719841,0.00026191495,0.00014390059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011706066,0.00018249298,0.0002505987,0.00040173283,0.00029896124,0.000084119696,0.002558721,0.00010618329,0.000053752115],"category_scores_gemma":[0.0002588025,0.00012984293,0.000121680525,0.0016026321,0.0000524115,0.0001565656,0.00012083104,0.0016409912,0.00002661597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037881554,0.0021804862,0.00686296,0.0000020430782,0.0001836778,0.000029107261,0.0033570342,0.6394783,0.00016038977,0.19246338,0.0014385143,0.15346526],"study_design_scores_gemma":[0.0010208092,0.00088531204,0.0515778,0.00042979137,0.000010317619,0.000038685732,0.000045175962,0.9421295,0.000060743576,0.0034098623,0.00016134745,0.00023063346],"about_ca_topic_score_codex":0.00005483311,"about_ca_topic_score_gemma":0.0002659617,"teacher_disagreement_score":0.30265117,"about_ca_system_score_codex":0.00019644573,"about_ca_system_score_gemma":0.00024225599,"threshold_uncertainty_score":0.71293813},"labels":[],"label_agreement":null},{"id":"W2112539288","doi":"10.1109/jsac.2009.090104","title":"An Antennas and Propagation Approach to Improving Physical Layer Performance in Wireless Body Area Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University","keywords":"Computer science; Diversity gain; Multipath propagation; Wireless; Node (physics); Antenna diversity; Maximal-ratio combining; Physical layer; Wireless network; Diversity scheme; Diversity combining; Antenna (radio); Computer network; Electronic engineering; Telecommunications; Fading; Channel (broadcasting); Acoustics; Physics; Engineering","score_opus":0.017973681105334937,"score_gpt":0.25025402379696354,"score_spread":0.23228034269162862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112539288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98034304,0.00014516895,0.017449206,0.00019521984,0.00007934815,0.0003478506,0.0000018479959,0.00014882562,0.0012895159],"genre_scores_gemma":[0.9974525,0.0004977305,0.0016384061,0.00010902722,0.00018673463,0.000047728692,0.00002390867,0.00003922319,0.000004717171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853987,0.00018828106,0.000431608,0.00021407728,0.00019781833,0.00042833603],"domain_scores_gemma":[0.9987178,0.00011904342,0.00009001394,0.0007430607,0.00014369877,0.00018638265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003606674,0.00023694245,0.0002947624,0.00037939288,0.0002224745,0.0001441176,0.0006728851,0.00012978338,8.438212e-7],"category_scores_gemma":[0.000028944562,0.00023679184,0.000030240655,0.0011730993,0.000044284774,0.00049249205,0.000034001358,0.0014620452,0.0000020045297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009016408,0.0009832773,0.0100375265,0.000019611281,0.000024409084,0.000007287991,0.0015470674,0.9063977,0.021848816,0.0005886853,0.00012411216,0.058331367],"study_design_scores_gemma":[0.00038497034,0.00016090943,0.13270059,0.00017789732,0.0000082264,0.000059744492,0.000054346485,0.8657049,0.0004399598,0.00005074806,0.000023312738,0.00023442117],"about_ca_topic_score_codex":0.000008586591,"about_ca_topic_score_gemma":0.000070759124,"teacher_disagreement_score":0.12266306,"about_ca_system_score_codex":0.0002681827,"about_ca_system_score_gemma":0.00004571623,"threshold_uncertainty_score":0.9656091},"labels":[],"label_agreement":null},{"id":"W2115539225","doi":"10.1109/jsac.2006.874419","title":"Distributed space-time coding for multihop transmission in power line communication networks","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":92,"is_retracted":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":"Retransmission; Computer science; Computer network; Node (physics); Linear network coding; Transmission (telecommunications); Telecommunications; Network packet; Engineering","score_opus":0.01508868817408692,"score_gpt":0.26108755375492165,"score_spread":0.24599886558083472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115539225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3484915,0.026860042,0.59241426,0.01464525,0.0006636019,0.0032625494,0.00037011382,0.0013005297,0.011992182],"genre_scores_gemma":[0.97897434,0.0053717745,0.014781171,0.00004300921,0.00005361374,0.00011822171,0.00053499895,0.00006161858,0.00006125153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980086,0.0003626818,0.0008976704,0.00015357802,0.00016051468,0.0004169291],"domain_scores_gemma":[0.99657476,0.0011895616,0.00017492354,0.0016528715,0.00029924387,0.000108660475],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007169678,0.00025769314,0.00035124412,0.00048824228,0.00041082886,0.00010578337,0.0014416344,0.00020115035,0.000026851854],"category_scores_gemma":[0.00012757705,0.0002697017,0.000111656955,0.0013049482,0.00008015792,0.00025790863,0.00006782992,0.0013387749,0.000009546662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020345887,0.0017510761,0.00233178,0.000028170765,0.000090874244,0.000005193765,0.00051383354,0.9555229,0.015960114,0.0031149844,0.012991173,0.007486437],"study_design_scores_gemma":[0.0021183765,0.00009633383,0.012678161,0.0005800237,0.000029224662,0.000030295509,0.00004623654,0.9538035,0.00085700135,0.0010779544,0.02827235,0.0004105867],"about_ca_topic_score_codex":0.00005134803,"about_ca_topic_score_gemma":0.0004157366,"teacher_disagreement_score":0.63048285,"about_ca_system_score_codex":0.00043323686,"about_ca_system_score_gemma":0.00006881895,"threshold_uncertainty_score":0.9999755},"labels":[],"label_agreement":null},{"id":"W2117340361","doi":"10.1109/49.957309","title":"An adaptive distance-based location update algorithm for next-generation PCS networks","year":2001,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Paging; Base station; Mobility model; Network topology; Boundary (topology); Algorithm; Bandwidth (computing); Wireless network; Cellular network; Path (computing); Wireless; Computer network; Real-time computing; Distributed computing; Telecommunications","score_opus":0.09890229836677501,"score_gpt":0.338317888648,"score_spread":0.239415590281225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117340361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019006091,0.0009727105,0.99141955,0.004484826,0.00026600988,0.00061559485,0.0000072910007,0.00015514804,0.00017823862],"genre_scores_gemma":[0.77411544,0.0023279006,0.2222282,0.00053799816,0.00029384033,0.0002658215,0.00017183604,0.000032568503,0.000026398644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99631816,0.0014574056,0.00075912714,0.00039830452,0.000506494,0.000560526],"domain_scores_gemma":[0.9930361,0.00096049684,0.00043831527,0.003393138,0.0019058387,0.0002661436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013851712,0.00025808654,0.0002815098,0.0005263396,0.0011688075,0.0007656788,0.0049989186,0.00017935579,0.000008843725],"category_scores_gemma":[0.00014461282,0.00026555502,0.000086646265,0.0030930964,0.00014579017,0.001463273,0.00014835561,0.0012553431,0.000012789016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010441886,0.0012949723,0.00043603897,0.0000034636355,0.00005036759,0.0000063494017,0.00024192788,0.5193081,0.0005306226,0.019001784,0.0024786356,0.45654333],"study_design_scores_gemma":[0.00089425844,0.00032669943,0.0012249631,0.000099293895,0.0000087683675,0.00003619744,0.000028655502,0.9902336,0.00019548059,0.00097969,0.005694579,0.00027779865],"about_ca_topic_score_codex":0.000025155712,"about_ca_topic_score_gemma":0.00064086454,"teacher_disagreement_score":0.77221483,"about_ca_system_score_codex":0.00060956035,"about_ca_system_score_gemma":0.0005878562,"threshold_uncertainty_score":0.9999797},"labels":[],"label_agreement":null},{"id":"W2117578628","doi":"10.1109/jsac.2009.091205","title":"Channel capacity and non-uniform signalling for free-space optical intensity channels","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Channel capacity; Computer science; Maximization; Channel (broadcasting); Entropy (arrow of time); Signalling; Decoding methods; Topology (electrical circuits); Mutual information; Coding (social sciences); Computation; Intensity (physics); Algorithm; Telecommunications; Mathematical optimization; Mathematics; Optics; Physics; Statistics; Artificial intelligence","score_opus":0.037795819269231555,"score_gpt":0.26389678577319203,"score_spread":0.22610096650396047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117578628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74535555,0.0015515456,0.21846376,0.027927509,0.0004799963,0.0011485078,0.000042102787,0.0012491735,0.003781875],"genre_scores_gemma":[0.95620936,0.003095379,0.040397,0.00014721556,0.000058373218,0.000044317327,0.000009133028,0.000028951321,0.000010283484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987154,0.00005581718,0.00049082696,0.00016012412,0.00017315694,0.0004046679],"domain_scores_gemma":[0.9972625,0.0007122925,0.00010236656,0.001348016,0.00042130673,0.00015356437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004336155,0.00023547304,0.00036143724,0.0003721143,0.00038974927,0.00013348226,0.0015491705,0.00023326029,0.0000025166241],"category_scores_gemma":[0.0007044202,0.00023640631,0.000071127244,0.0006300128,0.00018685502,0.00025051835,0.00012860102,0.0015341903,0.0000049940168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010082952,0.0054564257,0.0011515027,0.00035096463,0.0011708065,0.00004597166,0.010011885,0.48868486,0.1702368,0.17520273,0.017429305,0.12925044],"study_design_scores_gemma":[0.0017784393,0.00061221677,0.004842757,0.00058807625,0.000043243544,0.00016492543,0.00048731343,0.8937792,0.042378016,0.053282294,0.0012841391,0.00075934693],"about_ca_topic_score_codex":0.0000055363853,"about_ca_topic_score_gemma":0.000057979738,"teacher_disagreement_score":0.40509436,"about_ca_system_score_codex":0.00023926237,"about_ca_system_score_gemma":0.000036279373,"threshold_uncertainty_score":0.96403694},"labels":[],"label_agreement":null},{"id":"W2117915894","doi":"10.1109/jsac.2005.862385","title":"Improved transmit null steering for MIMO-OFDM downlinks with distributed base station antenna arrays","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Base station; Computer science; Orthogonal frequency-division multiplexing; Telecommunications link; Space-division multiple access; MIMO; Channel (broadcasting); Multiplexing; Pilot signal; Computer network; MIMO-OFDM; Interference (communication); Real-time computing; Electronic engineering; Telecommunications; Engineering","score_opus":0.013701704564588982,"score_gpt":0.24080858403215785,"score_spread":0.22710687946756886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117915894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02050067,0.00031281039,0.9773077,0.00028798243,0.00015371497,0.0006812453,0.00023824154,0.00026649475,0.00025113858],"genre_scores_gemma":[0.92615724,0.00023885383,0.072640896,0.00002032001,0.000103769155,0.00016733956,0.00056500884,0.00007561714,0.000030933243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985616,0.00010575336,0.00065407425,0.0001708827,0.00014833387,0.00035932235],"domain_scores_gemma":[0.9982176,0.0003398142,0.00020111652,0.00064968184,0.0004998272,0.000091972666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002317527,0.00024514872,0.00027583152,0.00029173415,0.00028369177,0.00009786708,0.00044533622,0.00012344029,0.0000057989687],"category_scores_gemma":[0.000066796085,0.00023653834,0.000060966806,0.0008319487,0.00004354736,0.0003795319,0.000009179817,0.00066912326,0.0000023319963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011729578,0.0001986058,0.00033824513,0.000049727845,0.00006256768,0.000004255401,0.00023056183,0.9491356,0.04819082,0.00025743802,0.00033378828,0.001081092],"study_design_scores_gemma":[0.0025762261,0.00019649032,0.0013120199,0.00039875123,0.00005462239,0.000104253835,0.00016912603,0.9884587,0.0045790924,0.0003546615,0.0013607815,0.0004352564],"about_ca_topic_score_codex":0.000046050045,"about_ca_topic_score_gemma":0.0010341113,"teacher_disagreement_score":0.9056566,"about_ca_system_score_codex":0.0004353847,"about_ca_system_score_gemma":0.00008076227,"threshold_uncertainty_score":0.9645754},"labels":[],"label_agreement":null},{"id":"W2118315922","doi":"10.1109/jsac.2009.090214","title":"A cross-layer design framework for robust IPTV services over IEEE 802.16 networks","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Institute for Information Industry, Ministry of Science and Technology, Taiwan; Ontario Centres of Excellence","keywords":"Multicast; Computer science; Computer network; Multiple description coding; Video quality; WiMAX; IPTV; Scalable Video Coding; Real-time computing; Distributed computing; Wireless; Scalability; Telecommunications; Network packet","score_opus":0.06827897961494891,"score_gpt":0.3712560710996058,"score_spread":0.3029770914846569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118315922","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013587963,0.00066309294,0.99474937,0.0017056853,0.0003578699,0.0005351605,0.000012485759,0.00039612153,0.00022142717],"genre_scores_gemma":[0.3291641,0.0009789868,0.6676133,0.001900286,0.00017746279,0.0000836335,0.000014103768,0.00002544065,0.00004270264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973005,0.00052311434,0.0007733851,0.0004274311,0.00039260628,0.0005829618],"domain_scores_gemma":[0.99353004,0.0019631574,0.0005720014,0.0030664885,0.0006515609,0.00021675196],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00079870573,0.000315422,0.00036320317,0.00039803088,0.00086494273,0.0006825238,0.0058569205,0.00028133264,0.00002067677],"category_scores_gemma":[0.00023443939,0.0002909801,0.00012160547,0.0015293785,0.00008342919,0.0013937345,0.00023390239,0.001706909,0.0000084417525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006236816,0.0033675823,0.002270444,0.000035747777,0.00018694525,0.000043639204,0.0013287582,0.65375173,0.004977915,0.087244675,0.03578562,0.21038324],"study_design_scores_gemma":[0.0011372019,0.00061847945,0.00737736,0.0011255003,0.000022637349,0.000162066,0.000017780787,0.8149845,0.0047962577,0.15855151,0.010455556,0.0007511534],"about_ca_topic_score_codex":0.000011086393,"about_ca_topic_score_gemma":0.00002991645,"teacher_disagreement_score":0.32780528,"about_ca_system_score_codex":0.0003167898,"about_ca_system_score_gemma":0.00017033856,"threshold_uncertainty_score":0.9999542},"labels":[],"label_agreement":null},{"id":"W2118817065","doi":"10.1109/jsac.2008.080412","title":"Reduced-Complexity Belief Propagation for System-Wide MUD in the Uplink of Cellular Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Telecommunications link; Multiuser detection; Belief propagation; Base station; Fading; Path loss; Decoding methods; Cellular network; Wireless network; Computer network; Algorithm; Wireless; Distributed computing; Telecommunications; Code division multiple access","score_opus":0.09683187822944359,"score_gpt":0.3069989266246265,"score_spread":0.21016704839518294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118817065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09961356,0.0021906353,0.8848946,0.009449091,0.00035056422,0.0013021535,0.0000036673064,0.0001006754,0.0020950607],"genre_scores_gemma":[0.97888404,0.0020903528,0.018510498,0.00027417432,0.000071174654,0.00011924846,0.000017602211,0.000012206401,0.0000206876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99711865,0.0013079215,0.00083429366,0.00019575095,0.00026655887,0.00027684463],"domain_scores_gemma":[0.99514306,0.0016251697,0.00047059974,0.0020142226,0.0006854836,0.000061489256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016606542,0.00016118186,0.0002797021,0.00031699263,0.0008700782,0.00009073096,0.0037339875,0.00008691202,0.0000023819293],"category_scores_gemma":[0.00034112294,0.00013023781,0.00009265434,0.0018884097,0.00016873892,0.00030328965,0.00018330038,0.00096320215,0.0000028452714],"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":[0.00033616062,0.005633973,0.0147165125,0.00013370262,0.00023713186,0.000050378698,0.02679644,0.08104555,0.017848095,0.787387,0.012479399,0.05333562],"study_design_scores_gemma":[0.0013386487,0.00026622118,0.028819598,0.00060855,0.000014933558,0.0002243582,0.000204828,0.96226954,0.001786877,0.0016127416,0.00253038,0.00032334536],"about_ca_topic_score_codex":0.000014359087,"about_ca_topic_score_gemma":0.00016886774,"teacher_disagreement_score":0.881224,"about_ca_system_score_codex":0.0002379322,"about_ca_system_score_gemma":0.00025069114,"threshold_uncertainty_score":0.69387394},"labels":[],"label_agreement":null},{"id":"W2120122098","doi":"10.1109/jsac.2007.070603","title":"Performance Analysis of Infrastructure Service Provision with GMPLS-Based Traffic Engineering","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Computer network; Provisioning; Traffic engineering; Multiprotocol Label Switching; Internet exchange point; Distributed computing; The Internet; Internet traffic; Quality of service; Internet transit; World Wide Web","score_opus":0.009107941308712768,"score_gpt":0.23864097614448662,"score_spread":0.22953303483577386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120122098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673518,0.00015708413,0.031765267,0.00011542462,0.000040260256,0.00011718051,0.00000408723,0.00026481735,0.00018406373],"genre_scores_gemma":[0.92702144,0.00022753263,0.07266547,0.000025345338,0.000014127873,0.0000066815774,0.0000129205955,0.000025451423,0.000001000302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989718,0.000021891874,0.00042686376,0.0000979037,0.00020622823,0.00027527293],"domain_scores_gemma":[0.9984501,0.00039358874,0.000107622705,0.0007257519,0.00025791116,0.00006505331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020983006,0.00016495152,0.0002779215,0.00091404567,0.00008593908,0.000017990673,0.00067922287,0.00011901974,0.000006187604],"category_scores_gemma":[0.000066690416,0.00014235356,0.000045100875,0.0049950164,0.0000491381,0.00013579137,0.00002490684,0.0009971013,0.0000011061073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035169036,0.0000466757,0.0036635434,0.000019072013,0.00014114632,0.0000022962024,0.0000745491,0.984484,0.0016510852,0.000041125997,0.000010518558,0.009830796],"study_design_scores_gemma":[0.00029413312,0.00009734628,0.082381204,0.00017995588,0.00010311445,0.000012165289,0.000041787127,0.91507363,0.0014396976,0.0000085012025,0.0002125751,0.00015586484],"about_ca_topic_score_codex":0.0000012432725,"about_ca_topic_score_gemma":0.00017739784,"teacher_disagreement_score":0.07871766,"about_ca_system_score_codex":0.00020454885,"about_ca_system_score_gemma":0.00004009313,"threshold_uncertainty_score":0.58050096},"labels":[],"label_agreement":null},{"id":"W2120587829","doi":"10.1109/jsac.2011.110409","title":"Stochastic Medium Access for Cognitive Radio Ad Hoc Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cognitive radio; Computer network; Network packet; Markov chain; Wireless ad hoc network; Throughput; SMA*; Control channel; Channel (broadcasting); Power control; Access control; Scheme (mathematics); Distributed computing; Wireless; Telecommunications link; Power (physics); Telecommunications; Algorithm","score_opus":0.07084503056711466,"score_gpt":0.31686000442307666,"score_spread":0.246014973855962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120587829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010684047,0.0023536552,0.98288083,0.0012792499,0.0007377796,0.0005119285,0.0000072662974,0.00011607893,0.0014291443],"genre_scores_gemma":[0.9838589,0.0018457248,0.013433939,0.00050212815,0.00023834161,0.000052694017,0.00001224994,0.000028874932,0.000027159227],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979651,0.00040575684,0.00053055154,0.0003138012,0.00024831475,0.0005364974],"domain_scores_gemma":[0.99589676,0.0018791612,0.00034416394,0.00088177447,0.000780895,0.00021722345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061064464,0.00023470457,0.00031998422,0.00040736905,0.0006778815,0.00032914252,0.002503853,0.000119443604,0.000014166427],"category_scores_gemma":[0.00036257497,0.00022543393,0.00012079406,0.001371776,0.0001383973,0.0006341505,0.00022026489,0.0011146996,0.0000065460868],"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":[0.0018354966,0.0050649857,0.003607295,0.00003379251,0.001300949,0.00024751716,0.017160898,0.018303996,0.00039674624,0.03457096,0.010038826,0.9074385],"study_design_scores_gemma":[0.004032599,0.0010393244,0.055506602,0.0012270837,0.00013615974,0.00096123863,0.00021548649,0.9181803,0.0003989517,0.01591151,0.001373439,0.0010172926],"about_ca_topic_score_codex":0.000008300748,"about_ca_topic_score_gemma":0.00035811204,"teacher_disagreement_score":0.97317487,"about_ca_system_score_codex":0.00019093142,"about_ca_system_score_gemma":0.0002794525,"threshold_uncertainty_score":0.9192929},"labels":[],"label_agreement":null},{"id":"W2121497908","doi":"10.1109/jsac.2008.080203","title":"Reduced-complexity equalization techniques for ISI and MIMO wireless channels in iterative decoding","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","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":"Queen's University","funders":"","keywords":"Trellis (graph); Computer science; MIMO; Fading; Decoding methods; Algorithm; Intersymbol interference; Equalization (audio); Tree (set theory); Trellis quantization; Channel (broadcasting); Space–time trellis code; Mathematics; Telecommunications; Block code; Concatenated error correction code; Artificial intelligence","score_opus":0.08285026603912156,"score_gpt":0.337846159776672,"score_spread":0.25499589373755044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121497908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69383484,0.0016948233,0.29840934,0.0014019688,0.0001885549,0.0014970028,0.000039971168,0.0010089639,0.0019245493],"genre_scores_gemma":[0.92019665,0.009603907,0.06966883,0.00007697113,0.000046443904,0.00030169342,0.000040722767,0.000050395247,0.000014379873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844706,0.00028372853,0.0006776133,0.00016742283,0.00014270749,0.00028147263],"domain_scores_gemma":[0.9979312,0.0006713351,0.00018370879,0.00080894935,0.00032417238,0.00008066809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040625152,0.00021727987,0.00032130233,0.0006634205,0.00042163907,0.00006191238,0.00076417817,0.00014183593,0.0000040332775],"category_scores_gemma":[0.00020195195,0.00024231477,0.000044271914,0.0008860234,0.00016655761,0.00046646793,0.00007516583,0.00083573395,0.0000010618065],"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":[0.0007041869,0.003841825,0.017820578,0.00050786417,0.0004777642,0.00006476226,0.048579685,0.067191035,0.421376,0.13508028,0.008362085,0.29599395],"study_design_scores_gemma":[0.002431204,0.00045697187,0.009103669,0.0024725436,0.000029852432,0.00062853185,0.0006261144,0.57494485,0.35701045,0.04331684,0.007317642,0.0016613016],"about_ca_topic_score_codex":0.000014157198,"about_ca_topic_score_gemma":0.00014531678,"teacher_disagreement_score":0.50775385,"about_ca_system_score_codex":0.00039505772,"about_ca_system_score_gemma":0.00005985995,"threshold_uncertainty_score":0.988131},"labels":[],"label_agreement":null},{"id":"W2122044701","doi":"10.1109/jsac.2004.839383","title":"A novel signaling nested reservation protocol for all-optical networks","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; Computer science; Reservation; Network packet; Resource Reservation Protocol; Wavelength-division multiplexing; Bandwidth (computing); Protocol (science); Throughput; Distributed computing; Wireless; Telecommunications; Internet protocol suite; The Internet; Wavelength","score_opus":0.06738241245702181,"score_gpt":0.3427491945865677,"score_spread":0.2753667821295459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122044701","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008589173,0.00010237512,0.9465574,0.004580966,0.00013500126,0.03750193,0.000006650305,0.0011557931,0.0013707057],"genre_scores_gemma":[0.33160612,0.00011036525,0.59674543,0.0002790176,0.00041176734,0.070702106,0.00002412516,0.000094827796,0.000026246618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985599,0.00005325218,0.0006255634,0.00014393912,0.00017834167,0.00043901775],"domain_scores_gemma":[0.99772954,0.0010069698,0.00011186313,0.0007485769,0.00030647044,0.00009659184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003485387,0.00019785414,0.00022637223,0.0002328932,0.000215786,0.00008493458,0.00089685846,0.00022103288,0.00000785823],"category_scores_gemma":[0.0004831826,0.00019304716,0.00006360525,0.00086881575,0.0000834763,0.0002990052,0.000057027693,0.0013424087,0.0000058106166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009109929,0.00023741185,0.00010390688,0.000011037111,0.000040642666,9.878956e-7,0.000038006565,0.97369134,0.007671345,0.003579232,0.0012579499,0.013277052],"study_design_scores_gemma":[0.00144178,0.00015784605,0.00059353304,0.00027063774,0.000015002717,0.00004879549,0.000025340092,0.9672305,0.0014845191,0.0015171724,0.026942618,0.0002722346],"about_ca_topic_score_codex":9.154726e-7,"about_ca_topic_score_gemma":0.00008819087,"teacher_disagreement_score":0.34981197,"about_ca_system_score_codex":0.0003745445,"about_ca_system_score_gemma":0.000042121803,"threshold_uncertainty_score":0.78722346},"labels":[],"label_agreement":null},{"id":"W2122183147","doi":"10.1109/jsac.2006.1613770","title":"Design of WDM networks under economy of scale pricing and shortest path routing","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Shortest path problem; Equal-cost multi-path routing; Computer science; Constrained Shortest Path First; Private Network-to-Network Interface; K shortest path routing; Link-state routing protocol; Topology (electrical circuits); Mathematical optimization; Routing (electronic design automation); Network topology; Computer network; Mathematics; Routing protocol; Combinatorics; Theoretical computer science","score_opus":0.018416890775887308,"score_gpt":0.23949661955447013,"score_spread":0.2210797287785828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122183147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17518756,0.0018211134,0.8199742,0.00017517229,0.000053034684,0.00019739552,0.000001798935,0.0001556971,0.0024340502],"genre_scores_gemma":[0.9276919,0.0008540216,0.07138575,0.000011194759,0.000025169475,0.0000070771375,0.0000024603646,0.000020100226,0.000002346645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908656,0.00007123235,0.00049928477,0.00007750729,0.000065096916,0.0002003214],"domain_scores_gemma":[0.998522,0.00074790913,0.00014439289,0.0004374276,0.00011780346,0.000030455905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021597854,0.0001138787,0.00023135653,0.00016075793,0.000089067646,0.00001783028,0.00037779394,0.00009894138,0.0000017129406],"category_scores_gemma":[0.00004786178,0.00011432918,0.000024208353,0.00053173985,0.00012920494,0.00011588757,0.000050160437,0.0006327019,2.9093255e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054047623,0.000055431545,0.00407274,0.0000036301137,0.000017509803,6.6172277e-7,0.00002748272,0.9892113,0.00162532,0.0023037123,0.000044704946,0.002632055],"study_design_scores_gemma":[0.0002803167,0.000069976166,0.017893,0.00030487985,0.000019656789,0.000035466106,0.000097973825,0.9691434,0.0013657707,0.010594891,0.000035588193,0.00015909004],"about_ca_topic_score_codex":0.0000060887965,"about_ca_topic_score_gemma":0.000034153578,"teacher_disagreement_score":0.75250435,"about_ca_system_score_codex":0.000100361416,"about_ca_system_score_gemma":0.000022331289,"threshold_uncertainty_score":0.46622086},"labels":[],"label_agreement":null},{"id":"W2122450032","doi":"10.1109/jsac.2007.070806","title":"Distributed Contention Window Control for Selfish Users in IEEE 802.11 Wireless LANs","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Nash equilibrium; Wireless network; Context (archaeology); Wireless; Game theory; Equilibrium point; Point (geometry); Network congestion; Distributed computing; Mathematical optimization; Telecommunications; Mathematical economics","score_opus":0.035469818176616784,"score_gpt":0.3104730568438081,"score_spread":0.27500323866719134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122450032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18360281,0.00009435137,0.8084048,0.0031701298,0.00046284517,0.003867565,0.00005763345,0.00012974802,0.00021009348],"genre_scores_gemma":[0.993437,0.000114994786,0.0050011706,0.00047289202,0.00014833592,0.00074432,0.000036494046,0.00002234112,0.00002248108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974025,0.0004952382,0.0008824215,0.00028359756,0.0003202518,0.0006159731],"domain_scores_gemma":[0.9960309,0.0016136888,0.0004346566,0.001139426,0.0005903848,0.00019093048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018671295,0.00022742905,0.00038502907,0.00041198995,0.00040890762,0.00027609864,0.0022831843,0.000190412,0.0000035002217],"category_scores_gemma":[0.00014871819,0.00022227537,0.00012862054,0.0015696798,0.00007965778,0.0004947891,0.000060441507,0.0009670136,0.000004935991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031289961,0.010791187,0.63220763,0.0001489132,0.00076841895,0.00032965493,0.0067764344,0.07185751,0.024743214,0.08695752,0.030213855,0.13207668],"study_design_scores_gemma":[0.023677595,0.0011975442,0.5053282,0.0020512254,0.000071651826,0.00039264135,0.00040059464,0.42781472,0.003980208,0.0075049885,0.025941275,0.0016393722],"about_ca_topic_score_codex":0.00007636439,"about_ca_topic_score_gemma":0.0042540114,"teacher_disagreement_score":0.8098342,"about_ca_system_score_codex":0.00038932584,"about_ca_system_score_gemma":0.00022052796,"threshold_uncertainty_score":0.90641266},"labels":[],"label_agreement":null},{"id":"W2123196001","doi":"10.1109/jsac.2010.100105","title":"Autonomic traffic engineering for network robustness","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Distributed computing; Network topology; Computer network; Network traffic control; Complex network","score_opus":0.021352156455950243,"score_gpt":0.26001371124005845,"score_spread":0.23866155478410822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123196001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2484241,0.0005086443,0.7422916,0.004561946,0.0030350965,0.00046112773,0.0000048546053,0.00047336938,0.00023925102],"genre_scores_gemma":[0.8098061,0.00015594349,0.1893166,0.00016738957,0.00043659043,0.00006239129,0.000006022336,0.000023527584,0.000025425283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987386,0.00008618218,0.00042283494,0.00019774667,0.00013229472,0.00042238136],"domain_scores_gemma":[0.99687177,0.0012911853,0.00017541162,0.0013025048,0.0002205289,0.00013857998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005964621,0.00016383141,0.00021105362,0.00020962059,0.0004193325,0.00025070264,0.0024899018,0.00012571811,0.0000062204344],"category_scores_gemma":[0.00021072452,0.0001611453,0.000090588976,0.00096844765,0.000034382017,0.00027899287,0.000106113504,0.0012884036,0.0000065774348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010507518,0.0001474779,0.00036585645,0.0000027587398,0.000025866217,0.000002412661,0.00011943091,0.9652157,0.00023489336,0.012673887,0.0033725232,0.017828723],"study_design_scores_gemma":[0.00052119256,0.00007070544,0.0053704386,0.00008106319,0.000008344937,0.00012369716,0.0000031092977,0.9773207,0.000044197124,0.0006375101,0.015598511,0.00022055433],"about_ca_topic_score_codex":0.000002803871,"about_ca_topic_score_gemma":0.0001375748,"teacher_disagreement_score":0.561382,"about_ca_system_score_codex":0.0000936773,"about_ca_system_score_gemma":0.00021699646,"threshold_uncertainty_score":0.6571315},"labels":[],"label_agreement":null},{"id":"W2123267194","doi":"10.1109/twc.2007.026506","title":"Long-lifetime capacity upgrades of ring networks for unpredictable traffic","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Computer network; The Internet; Distributed computing; Chordal graph; Graph; Theoretical computer science","score_opus":0.028420017310033446,"score_gpt":0.27572639394101967,"score_spread":0.24730637663098623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123267194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12568428,0.00087193586,0.8705145,0.0013443595,0.00044374584,0.0003214644,0.000004020342,0.00012323177,0.0006924475],"genre_scores_gemma":[0.9757884,0.00035792132,0.023384226,0.00017030194,0.00019457535,0.000020967294,0.000004634332,0.000014394584,0.00006458003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981586,0.00023045325,0.0007048371,0.0001985838,0.0002596477,0.00044790175],"domain_scores_gemma":[0.99626744,0.0017023097,0.00036819413,0.0010038038,0.00049049896,0.00016776157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014858167,0.00016372399,0.00028830464,0.00031805644,0.00038864394,0.00010146462,0.0020219313,0.00012417616,0.0000044958674],"category_scores_gemma":[0.0001708213,0.0001593282,0.00011418791,0.0012040036,0.00011207888,0.00028815077,0.00006921566,0.0007957886,0.0000024693454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022793625,0.0014299309,0.005829832,0.000020821957,0.00022634112,0.000013790625,0.001127726,0.56415075,0.00041044306,0.03803239,0.0034163594,0.3851137],"study_design_scores_gemma":[0.0014835703,0.00024117416,0.01206856,0.00024412025,0.000028150644,0.00011393384,0.00003332946,0.98265964,0.00022736269,0.0006850098,0.0019768653,0.00023828972],"about_ca_topic_score_codex":0.000008424382,"about_ca_topic_score_gemma":0.00028324503,"teacher_disagreement_score":0.85010415,"about_ca_system_score_codex":0.000139336,"about_ca_system_score_gemma":0.00016201517,"threshold_uncertainty_score":0.64972156},"labels":[],"label_agreement":null},{"id":"W2124637714","doi":"10.1109/jsac.2005.863884","title":"A time-division multiple-access SC-FDE system with IBI suppression for UWB communications","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Time division multiple access; Computer science; Code division multiple access; Transmission (telecommunications); Computer network; Phase-shift keying; Electronic engineering; Cyclic prefix; Channel (broadcasting); Bit error rate; Orthogonal frequency-division multiplexing; Telecommunications; Engineering","score_opus":0.020436945152528,"score_gpt":0.2716599058286577,"score_spread":0.2512229606761297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124637714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7415907,0.008799189,0.1836908,0.01382538,0.0008934618,0.006366598,0.0005495042,0.006569115,0.037715275],"genre_scores_gemma":[0.97250223,0.0006766255,0.02570398,0.000046149562,0.000049595717,0.0005650847,0.00026632467,0.000105798856,0.00008422845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757546,0.00042058845,0.0009320255,0.000240637,0.0002817487,0.00054951804],"domain_scores_gemma":[0.9920849,0.0020370276,0.0003119444,0.0048452094,0.0006041482,0.00011674879],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051263266,0.00035102753,0.00044970564,0.00080117874,0.0011339994,0.00021943494,0.0051239403,0.00027223577,0.000011343031],"category_scores_gemma":[0.00019286342,0.0003226306,0.00011142207,0.0015778295,0.00030392694,0.0004581664,0.00026732773,0.001488056,0.000037997575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009893706,0.008822955,0.06443316,0.0005648108,0.0013753097,0.00003567373,0.002629597,0.5814074,0.18928039,0.04137845,0.06995461,0.039128244],"study_design_scores_gemma":[0.0054985443,0.00049130997,0.02751933,0.0027663223,0.00018463742,0.00059880293,0.00047930755,0.9030914,0.013068605,0.0017014142,0.043159455,0.0014408731],"about_ca_topic_score_codex":0.00010598302,"about_ca_topic_score_gemma":0.0013733474,"teacher_disagreement_score":0.32168397,"about_ca_system_score_codex":0.0006105808,"about_ca_system_score_gemma":0.00013752753,"threshold_uncertainty_score":0.9999226},"labels":[],"label_agreement":null},{"id":"W2125590942","doi":"10.1109/49.857919","title":"SINR maximizing space-time filtering for asynchronous DS-CDMA","year":2000,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Code division multiple access; Matched filter; Spread spectrum; CDMA spectral efficiency; Filter (signal processing); Asynchronous communication; Process gain; Electronic engineering; Bandwidth (computing); Signal-to-interference-plus-noise ratio; Algorithm; Telecommunications; Detector; Engineering","score_opus":0.040188525451382004,"score_gpt":0.31284386397299396,"score_spread":0.27265533852161195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125590942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20235112,0.0055372776,0.62978053,0.0914947,0.0012257056,0.0038098681,0.000059777867,0.0016417329,0.06409926],"genre_scores_gemma":[0.8361019,0.0031820373,0.15906142,0.00039353603,0.00023128801,0.00017776352,0.000023812952,0.000054702647,0.00077355345],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997003,0.0008391389,0.00070066977,0.0003289093,0.00045390692,0.0006743483],"domain_scores_gemma":[0.9935712,0.001850046,0.00024366513,0.0035735043,0.0005259859,0.00023556015],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0011018089,0.0002457216,0.0003369642,0.0005110342,0.0010786448,0.00062066986,0.0066225557,0.00013866162,0.00014041821],"category_scores_gemma":[0.00024893176,0.0002529262,0.00013093316,0.0017671584,0.000136265,0.0007260961,0.00039016097,0.001427954,0.00019250052],"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":[0.00032340508,0.0028295855,0.0008676998,0.000044087043,0.00032693218,0.00004752204,0.0036473386,0.11536315,0.016360318,0.020256585,0.025741626,0.81419176],"study_design_scores_gemma":[0.001983449,0.0003985,0.0042096637,0.0005467151,0.000015842343,0.00043194016,0.000038360842,0.8911532,0.0018173906,0.004455237,0.094253294,0.0006963679],"about_ca_topic_score_codex":0.000023498182,"about_ca_topic_score_gemma":0.00007342889,"teacher_disagreement_score":0.8134954,"about_ca_system_score_codex":0.0004834328,"about_ca_system_score_gemma":0.00038443055,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W2125956815","doi":"10.1109/jsac.2003.816598","title":"Extending the p-cycle concept to path segment protection for span and node failure recovery","year":2003,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Path protection; Computer science; Spare part; Backup; Path (computing); Span (engineering); Node (physics); Network Access Protection; Computer network; Optical mesh network; Distributed computing; Telecommunications; Wavelength-division multiplexing; Engineering; Operations management","score_opus":0.0213298185487151,"score_gpt":0.26215621822687285,"score_spread":0.24082639967815775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125956815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21308134,0.0023319074,0.77284557,0.007425945,0.00049489323,0.0020570068,0.00002488831,0.00062327244,0.0011151473],"genre_scores_gemma":[0.9023085,0.000956363,0.09635956,0.00009288259,0.00003583349,0.00020323659,0.0000022289703,0.00002622238,0.000015180318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992369,0.00009118688,0.0002447491,0.00010129864,0.00009042074,0.00023544027],"domain_scores_gemma":[0.9989174,0.00038153303,0.000053731088,0.00050300604,0.00008904334,0.00005526724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022367436,0.00011929326,0.00012900673,0.000117887554,0.00033606114,0.000064190324,0.00034253852,0.000078836,0.0000039296283],"category_scores_gemma":[0.00043639532,0.000096468335,0.000029585357,0.0004933384,0.00005488775,0.00011536835,0.000031104977,0.0006820874,0.0000025858767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004857625,0.00014647609,0.0003080914,0.000019363128,0.000095444215,0.0000026664263,0.00057519233,0.8733859,0.010538474,0.009112723,0.0023473068,0.10341981],"study_design_scores_gemma":[0.0054189684,0.00220326,0.01408199,0.002485848,0.00018665954,0.0010588008,0.0046341745,0.5498992,0.03294018,0.121874236,0.2625598,0.0026568417],"about_ca_topic_score_codex":0.0000017297797,"about_ca_topic_score_gemma":0.000058725527,"teacher_disagreement_score":0.68922716,"about_ca_system_score_codex":0.0002237303,"about_ca_system_score_gemma":0.000019669518,"threshold_uncertainty_score":0.39338645},"labels":[],"label_agreement":null},{"id":"W2126289807","doi":"10.1109/49.840196","title":"Random coding error exponents for flat fading channels with realistic channel estimation","year":2000,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"United States Agency for International Development","keywords":"Fading; Channel state information; Computer science; Rayleigh fading; Algorithm; Multipath propagation; Channel (broadcasting); Telecommunications; Decoding methods; Wireless","score_opus":0.04023274166820819,"score_gpt":0.30574625312893455,"score_spread":0.2655135114607264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126289807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12764843,0.0006475157,0.8635818,0.0015594095,0.00025542482,0.0016686087,0.00005771635,0.0011112579,0.0034698616],"genre_scores_gemma":[0.9503432,0.0022049013,0.04663833,0.00006398014,0.0000605952,0.0004016775,0.00010292296,0.00008103921,0.00010339209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982987,0.00022981029,0.000710841,0.00016713272,0.00023902625,0.00035446277],"domain_scores_gemma":[0.997242,0.00088575325,0.00020112861,0.0012744715,0.00028116815,0.00011552201],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005050963,0.00025753005,0.0003686242,0.00041971274,0.0005108495,0.00011269212,0.0011008823,0.00011537969,0.00003371285],"category_scores_gemma":[0.00018441459,0.0002478322,0.000070546375,0.00075026095,0.00006523829,0.00041474722,0.000027538092,0.00080066774,0.000013138063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002314371,0.00012113491,0.000042564032,0.000029389319,0.00007313732,0.0000027958702,0.0010496157,0.9750066,0.0021873196,0.00045975696,0.0008544139,0.019941863],"study_design_scores_gemma":[0.002258715,0.00014221443,0.00028490936,0.0008229011,0.000034003093,0.00011806947,0.00007314368,0.98576397,0.0054864995,0.002831996,0.001779175,0.00040442552],"about_ca_topic_score_codex":0.000010495463,"about_ca_topic_score_gemma":0.0000614387,"teacher_disagreement_score":0.8226947,"about_ca_system_score_codex":0.0004871044,"about_ca_system_score_gemma":0.000045364945,"threshold_uncertainty_score":0.9999974},"labels":[],"label_agreement":null},{"id":"W2126831583","doi":"10.1109/jsac.2008.080807","title":"Multiple Frequency Offset Estimation for the Downlink of Coordinated MIMO Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","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":"Simon Fraser University","funders":"","keywords":"Cramér–Rao bound; Carrier frequency offset; Estimator; Computer science; Telecommunications link; Beamforming; Upper and lower bounds; Algorithm; Signal-to-noise ratio (imaging); Frequency offset; MIMO; Estimation theory; Mathematical optimization; Statistics; Telecommunications; Mathematics; Orthogonal frequency-division multiplexing","score_opus":0.034029029333477824,"score_gpt":0.27302662916512077,"score_spread":0.23899759983164295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126831583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038564175,0.003118,0.9548504,0.00038659232,0.0006950948,0.0013114653,0.00011117876,0.00022008394,0.0007430573],"genre_scores_gemma":[0.9813594,0.0012711984,0.017040314,0.000010122607,0.00004710188,0.00014834129,0.00006464204,0.000034770328,0.000024098554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876475,0.00014998368,0.00067868014,0.00008677487,0.00013510793,0.00018467555],"domain_scores_gemma":[0.9971751,0.0012041297,0.00026106363,0.0007395149,0.00057104736,0.00004916226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029635252,0.00014123575,0.00023255566,0.0002345008,0.0003613874,0.000024248657,0.00060435943,0.000098660545,0.0000030387823],"category_scores_gemma":[0.0005909486,0.000117337484,0.000056077646,0.0007616474,0.00007446104,0.00021306904,0.000015020325,0.00044510534,0.000004618313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015047004,0.000074958116,0.0012004481,0.000028022987,0.000054167915,8.2363033e-7,0.00030926944,0.9936342,0.002816673,0.00052037626,0.00088745845,0.00045850387],"study_design_scores_gemma":[0.0006572204,0.000054011747,0.0015883365,0.0002610332,0.000021473334,0.00013718552,0.00008993616,0.99567807,0.0008372259,0.00014987575,0.0003930519,0.00013259315],"about_ca_topic_score_codex":0.000041821993,"about_ca_topic_score_gemma":0.00011818254,"teacher_disagreement_score":0.9427952,"about_ca_system_score_codex":0.00023687664,"about_ca_system_score_gemma":0.000076161596,"threshold_uncertainty_score":0.4784884},"labels":[],"label_agreement":null},{"id":"W2127297430","doi":"10.1109/jsac.2015.2481212","title":"Real-Time Energy Storage Management With Renewable Integration: Finite-Time Horizon Approach","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Mathematical optimization; Lyapunov optimization; Time horizon; Renewable energy; Optimization problem; Dynamic programming; Energy management; System dynamics; Lyapunov function; Energy (signal processing); Lyapunov equation; Nonlinear system; Algorithm; Mathematics","score_opus":0.021570470876801105,"score_gpt":0.22653082313763445,"score_spread":0.20496035226083334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127297430","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027608499,0.0006008292,0.16116357,0.0010338133,0.00074819545,0.00062762963,0.00001879135,0.0013050229,0.80689365],"genre_scores_gemma":[0.92017937,0.0033044217,0.068865515,0.00010662232,0.0003696983,0.00027698866,0.00029614312,0.00017538086,0.0064258594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982006,0.00028204283,0.00048256305,0.0002132608,0.0004473785,0.00037415428],"domain_scores_gemma":[0.9978182,0.00016248984,0.00012903179,0.0014180228,0.00025512616,0.0002171781],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047912923,0.00029006533,0.00029716946,0.0006090515,0.0001957133,0.00015413723,0.0010811366,0.00009715101,0.000036268208],"category_scores_gemma":[0.00003759973,0.00026515446,0.00004952634,0.0014769777,0.000059976283,0.0002922016,0.00010308262,0.000526278,0.00006986945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005493316,0.00027292504,0.000038939237,0.000008410373,0.00018923318,0.000024491164,0.00020105028,0.9612292,0.00047875475,0.0015323542,0.03414044,0.0018292522],"study_design_scores_gemma":[0.0021047117,0.00056343654,0.00069762673,0.00034887635,0.0001250605,0.00012330785,0.00037618435,0.91947424,0.00094707444,0.0007445653,0.07371624,0.00077868416],"about_ca_topic_score_codex":0.000109890076,"about_ca_topic_score_gemma":0.00015488306,"teacher_disagreement_score":0.89257085,"about_ca_system_score_codex":0.00078427704,"about_ca_system_score_gemma":0.00007645897,"threshold_uncertainty_score":0.9999801},"labels":[],"label_agreement":null},{"id":"W2132159417","doi":"10.1109/jsac.2005.864008","title":"Outage probability analysis of a MC-DS-CDMA system with variable repetition code rate and spreading factor","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Subcarrier; Computer science; Repetition code; Code division multiple access; Code rate; Code (set theory); Bit error rate; Channel (broadcasting); Algorithm; Outage probability; Fading; Telecommunications; Electronic engineering; Statistics; Mathematics; Block code; Decoding methods; Linear code; Orthogonal frequency-division multiplexing","score_opus":0.03539580522560002,"score_gpt":0.2895408645753915,"score_spread":0.2541450593497915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132159417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5769778,0.00043015668,0.41634592,0.0017163935,0.00006608049,0.00063420483,0.000054148662,0.00019035804,0.0035849346],"genre_scores_gemma":[0.9611333,0.00021507592,0.038480308,0.000022012724,0.000019735611,0.000047201927,0.000024411875,0.00001351423,0.000044416884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965829,0.0015916647,0.00077335123,0.000303659,0.00043176571,0.00031666138],"domain_scores_gemma":[0.9941325,0.0014551092,0.00056410936,0.0027823602,0.00095107727,0.000114831746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015025397,0.00017596026,0.00043596007,0.00088037935,0.00046061695,0.00029189972,0.0022742632,0.00009708732,0.0000073335073],"category_scores_gemma":[0.00017007519,0.0001521642,0.00006741016,0.0049178684,0.00017912404,0.0005105215,0.00029715992,0.0008599758,0.0000019316878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003426759,0.0031868797,0.20893309,0.00022497372,0.00184504,0.0000329898,0.0026787398,0.3807387,0.017691009,0.37785324,0.00045332083,0.0060193357],"study_design_scores_gemma":[0.0007633881,0.00016298986,0.18565042,0.000515985,0.00011295708,0.000075114134,0.000070546885,0.8101219,0.0007104432,0.0011647763,0.00037610804,0.00027535995],"about_ca_topic_score_codex":0.00033928937,"about_ca_topic_score_gemma":0.0017938145,"teacher_disagreement_score":0.42938322,"about_ca_system_score_codex":0.00042424537,"about_ca_system_score_gemma":0.00027254043,"threshold_uncertainty_score":0.6205076},"labels":[],"label_agreement":null},{"id":"W2133037408","doi":"10.1109/jsac.2005.853811","title":"An eigen-assisted noncoherent receiver for Alamouti-type space-time modulation","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Differential coding; Transmitter; Algorithm; Phase-shift keying; Detector; Computer science; Demodulation; Keying; Encoder; Fading; Rayleigh fading; Mathematics; Topology (electrical circuits); Decoding methods; Bit error rate; Telecommunications; Channel (broadcasting); Combinatorics","score_opus":0.032419911113649315,"score_gpt":0.3174079374342216,"score_spread":0.28498802632057224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133037408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66429615,0.0032837694,0.30340484,0.006887583,0.0008084995,0.0036356417,0.00011786345,0.0043024463,0.013263224],"genre_scores_gemma":[0.8845352,0.001981578,0.11287543,0.000076008895,0.0001225732,0.000118175645,0.00012130453,0.000075117525,0.00009459623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984169,0.00027232757,0.00062466477,0.00016639501,0.00020617114,0.00031356612],"domain_scores_gemma":[0.99687946,0.0003906124,0.00020212865,0.0018097679,0.00057403307,0.00014400636],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035417857,0.00023582608,0.00027619716,0.00041634095,0.00035314856,0.00008632323,0.0013095569,0.00017135419,0.00005477925],"category_scores_gemma":[0.00011985373,0.0002566229,0.000073207026,0.0008383416,0.000063723215,0.000547337,0.000040770246,0.00085073645,0.0000414971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001734976,0.001373001,0.0011455484,0.000023845962,0.0001751749,0.0000016008399,0.0011394933,0.5339327,0.20908377,0.0023651274,0.0074493275,0.24313694],"study_design_scores_gemma":[0.0012190677,0.00030992864,0.019247305,0.00024899864,0.000036520672,0.000058359594,0.000058909773,0.90533674,0.02252383,0.0017163124,0.048610155,0.0006338844],"about_ca_topic_score_codex":0.000006284522,"about_ca_topic_score_gemma":0.00018841583,"teacher_disagreement_score":0.37140405,"about_ca_system_score_codex":0.0007538929,"about_ca_system_score_gemma":0.00008304333,"threshold_uncertainty_score":0.9999886},"labels":[],"label_agreement":null},{"id":"W2134138008","doi":"10.1109/jsac.2003.809627","title":"Investigation on MIMO channels in subway tunnels","year":2003,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":135,"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":"Centre National de la Recherche Scientifique; Institut national de la recherche scientifique","keywords":"Computer science; Channel (broadcasting); MIMO; Channel capacity; Precoding; Spatial correlation; Matrix (chemical analysis); Electronic engineering; Statistical analysis; Telecommunications; Topology (electrical circuits); Algorithm; Electrical engineering; Mathematics; Statistics; Engineering","score_opus":0.0824287431986557,"score_gpt":0.271386365431167,"score_spread":0.1889576222325113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134138008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968374,0.0005575651,0.02030439,0.0008996609,0.00060427294,0.00033893352,0.000005746697,0.00016049974,0.00875493],"genre_scores_gemma":[0.99616176,0.0010369875,0.0023366024,0.00028084766,0.00004818769,0.00003691562,0.000014054175,0.000035473302,0.00004918168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850017,0.00038050956,0.000529787,0.00012778018,0.00019355433,0.00026818746],"domain_scores_gemma":[0.99881774,0.00025625384,0.00008654979,0.0005702191,0.00014610543,0.00012315738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005738254,0.00017003003,0.00018750194,0.00063581375,0.00015244843,0.00007280264,0.0003951153,0.00010810189,0.00003909061],"category_scores_gemma":[0.0002742574,0.0001763399,0.00004453301,0.0009054481,0.00003396979,0.00016801464,0.000012399493,0.0010436673,0.0000481217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003437778,0.00035559558,0.003102524,0.00003114864,0.00006959909,0.000015548978,0.0033126571,0.90212077,0.08026271,0.0035540422,0.0017282479,0.005412754],"study_design_scores_gemma":[0.0034760465,0.00034743428,0.0051904945,0.0015234196,0.000033658263,0.00021537286,0.00042966928,0.66967773,0.29258326,0.017504396,0.0077995285,0.0012189744],"about_ca_topic_score_codex":0.000009944549,"about_ca_topic_score_gemma":0.00010665739,"teacher_disagreement_score":0.23244303,"about_ca_system_score_codex":0.00030355155,"about_ca_system_score_gemma":0.00007664866,"threshold_uncertainty_score":0.71909326},"labels":[],"label_agreement":null},{"id":"W2134968843","doi":"10.1109/jsac.2013.131011","title":"Optimal Relay Selection for Physical-Layer Security in Cooperative Wireless Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":512,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Relay; Eavesdropping; Selection (genetic algorithm); Cooperative diversity; Wireless network; Wireless; Outage probability; Relay channel","score_opus":0.041135545299955015,"score_gpt":0.3173365994603299,"score_spread":0.2762010541603749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134968843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6384414,0.00065416336,0.34909347,0.008441458,0.00035397828,0.0014530494,0.000003532817,0.00018844307,0.0013704944],"genre_scores_gemma":[0.98530966,0.0019579614,0.011627365,0.00046371936,0.00013814495,0.00038873093,0.000012752126,0.0000230181,0.00007867279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731576,0.0010786094,0.0006078402,0.00032022464,0.00021897377,0.00045856947],"domain_scores_gemma":[0.99597734,0.0012816804,0.00026949676,0.0012141555,0.001109275,0.00014803646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006642412,0.00024760317,0.00034815163,0.0003884127,0.00073122006,0.00041424134,0.0024208685,0.0001248678,0.000019217876],"category_scores_gemma":[0.00020867157,0.00023613953,0.000094386436,0.002420804,0.00009498249,0.0009183765,0.0002698654,0.0016837936,0.000023646124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019601692,0.004871827,0.007549713,0.000017405444,0.00020525389,0.0000056200533,0.012477863,0.7779401,0.009339974,0.09756958,0.016257651,0.07356902],"study_design_scores_gemma":[0.0009190742,0.00024895472,0.0045795795,0.00014850155,0.0000057938714,0.00003244771,0.00006884871,0.990857,0.0006621046,0.0006056103,0.0015962321,0.00027585457],"about_ca_topic_score_codex":0.000027611479,"about_ca_topic_score_gemma":0.0007798668,"teacher_disagreement_score":0.34686822,"about_ca_system_score_codex":0.0004176401,"about_ca_system_score_gemma":0.00023484572,"threshold_uncertainty_score":0.96294904},"labels":[],"label_agreement":null},{"id":"W2135033587","doi":"10.1109/jsac.2005.857212","title":"QoS-aware service composition and adaptation in autonomic communication","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Quality of service; Distributed computing; Provisioning; Mobile QoS; Service (business); Service provider","score_opus":0.025515801205264744,"score_gpt":0.27315612987128524,"score_spread":0.24764032866602048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135033587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9114854,0.001725263,0.024690703,0.0585817,0.00025991007,0.00056386675,0.00000948271,0.00024201492,0.0024416659],"genre_scores_gemma":[0.9561704,0.0010709675,0.03990598,0.0026853248,0.000071996204,0.00003297781,0.000041360396,0.000014972771,0.000006040937],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979171,0.00066929247,0.0006545698,0.00025358473,0.00022755259,0.00027788774],"domain_scores_gemma":[0.99729323,0.0005312437,0.00032362322,0.0014138169,0.0003225523,0.00011553169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005475351,0.00019220868,0.00021941753,0.0006291517,0.00042609265,0.00024757447,0.0021550348,0.00010892847,0.0000063814023],"category_scores_gemma":[0.000013662214,0.00019778965,0.000033923345,0.0015962152,0.00004252526,0.0009587991,0.00026159032,0.0009792506,0.00002746456],"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":[0.00048258825,0.005872024,0.026036717,0.00014230415,0.00026861497,0.000036515514,0.11704681,0.31774542,0.020283977,0.09487409,0.0010971252,0.41611382],"study_design_scores_gemma":[0.001833107,0.00011405541,0.0786163,0.0005756457,0.000016965567,0.00024922675,0.00070326397,0.90729237,0.0007718612,0.0027202324,0.006667149,0.00043980213],"about_ca_topic_score_codex":0.000303603,"about_ca_topic_score_gemma":0.01212806,"teacher_disagreement_score":0.589547,"about_ca_system_score_codex":0.00028894353,"about_ca_system_score_gemma":0.00016235143,"threshold_uncertainty_score":0.8065628},"labels":[],"label_agreement":null},{"id":"W2135265541","doi":"10.1109/jsac.2004.823442","title":"Multiuser Detection of DS-CDMA Signals Using Partial Parallel Interference Cancellation in Satellite Communications","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Single antenna interference cancellation; Computer science; Multiuser detection; Code division multiple access; Detector; Time division multiple access; Interference (communication); Electronic engineering; Real-time computing; Telecommunications; Algorithm; Engineering","score_opus":0.10098041512326189,"score_gpt":0.3602062823102976,"score_spread":0.2592258671870357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135265541","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3998002,0.005680073,0.58136624,0.009766501,0.00040126528,0.0013221498,0.000011558489,0.00019639333,0.0014555865],"genre_scores_gemma":[0.9373621,0.007826033,0.054588035,0.00008289411,0.00003503818,0.00006239383,0.0000106388925,0.00002340657,0.000009464954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957358,0.0017116184,0.0012853027,0.00030439752,0.00049412245,0.000468717],"domain_scores_gemma":[0.9929404,0.0011436814,0.0006859129,0.004223264,0.00085236074,0.00015435946],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0013234479,0.00023848779,0.0003838203,0.0009962262,0.0004899832,0.00019975699,0.005975862,0.00017943294,0.0000062747067],"category_scores_gemma":[0.00031836913,0.00025310784,0.000096096475,0.00327028,0.00031038196,0.0008407697,0.0006033651,0.0018413046,0.00001321845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026963567,0.0032872586,0.012696772,0.000036296165,0.00013496798,0.000013656232,0.0082102185,0.72527385,0.13141263,0.017939458,0.00002453616,0.100700736],"study_design_scores_gemma":[0.0030981144,0.00030235716,0.03510786,0.0013556171,0.000019212315,0.00012216653,0.0002735421,0.93317926,0.017997406,0.006338626,0.0015923613,0.0006134727],"about_ca_topic_score_codex":0.0006780998,"about_ca_topic_score_gemma":0.006360895,"teacher_disagreement_score":0.5375619,"about_ca_system_score_codex":0.000965985,"about_ca_system_score_gemma":0.00062541914,"threshold_uncertainty_score":0.99999213},"labels":[],"label_agreement":null},{"id":"W2135846425","doi":"10.1109/jsac.2007.070108","title":"Distributed pattern matching: a key to flexible and efficient P2P search","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Distributed hash table; Distributed computing; Overhead (engineering); Hash table; Matching (statistics); Service discovery; Peer-to-peer; Theoretical computer science; Hash function; Computer security","score_opus":0.03778736789509546,"score_gpt":0.32142386260348016,"score_spread":0.2836364947083847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135846425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39235163,0.00012402369,0.59146816,0.0150129,0.00012579809,0.00022611168,0.000009647717,0.0002688465,0.00041290733],"genre_scores_gemma":[0.9409146,0.00007837898,0.058210693,0.00068351545,0.000037741804,0.000016537777,0.0000057910047,0.000014434803,0.000038328075],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979462,0.00020969691,0.00047892783,0.00030027266,0.00046554304,0.00059935555],"domain_scores_gemma":[0.9967656,0.00066924794,0.000108525994,0.0017648942,0.00038160084,0.0003100966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013824748,0.00018341707,0.00022171519,0.00080031063,0.00048514697,0.00033907036,0.0035103874,0.000101687416,0.0000034930747],"category_scores_gemma":[0.0002558738,0.0001750902,0.000038110586,0.0031485343,0.000073616146,0.00014083523,0.0009440748,0.0011565164,0.000046202436],"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":[0.00024228694,0.0034858165,0.042273548,0.000036991667,0.00024776254,0.00034139052,0.018507687,0.16281173,0.019616302,0.034813244,0.026139703,0.69148356],"study_design_scores_gemma":[0.0026411752,0.0015622247,0.7760036,0.0011651417,0.00003464479,0.0016714726,0.0011087202,0.14295226,0.019775506,0.010732695,0.040409315,0.0019432483],"about_ca_topic_score_codex":0.00007947239,"about_ca_topic_score_gemma":0.00039540118,"teacher_disagreement_score":0.73373,"about_ca_system_score_codex":0.00035529005,"about_ca_system_score_gemma":0.00012795995,"threshold_uncertainty_score":0.7139971},"labels":[],"label_agreement":null},{"id":"W2136133839","doi":"10.1109/jsac.2011.110304","title":"Optimal Distributed Vertical Handoff Strategies in Vehicular Heterogeneous Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Handover; Computer network; Transmission (telecommunications); Heterogeneous network; Vertical handover; Wireless network; Wireless ad hoc network; Cellular network; Vehicular ad hoc network; Wireless; Telecommunications","score_opus":0.0435194600275318,"score_gpt":0.28895316208354094,"score_spread":0.24543370205600915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136133839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24967848,0.0008812987,0.7445423,0.0010743331,0.000358524,0.0019787431,0.0000062975837,0.00018632055,0.001293729],"genre_scores_gemma":[0.98782027,0.00032180452,0.011266756,0.00012911505,0.00006835664,0.00036507176,0.000010230607,0.000014920595,0.0000034484042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977536,0.0006669815,0.0006039548,0.00024153818,0.00024013595,0.000493781],"domain_scores_gemma":[0.9978872,0.0003265343,0.00012761539,0.001273502,0.00021170513,0.00017342692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049670646,0.00020106453,0.00028153547,0.0002144745,0.00028091352,0.00032381047,0.0023206184,0.00016287484,0.000017606466],"category_scores_gemma":[0.0000558709,0.00018378775,0.0000814235,0.0012428701,0.00010580611,0.00046539409,0.00022086162,0.0013388013,0.000010445909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031866875,0.0022319471,0.01003049,0.000010000213,0.00011942514,0.00046793287,0.001726014,0.94264483,0.00028635896,0.03170775,0.000895977,0.009560578],"study_design_scores_gemma":[0.0013765682,0.00039673195,0.031243116,0.0003134316,0.000010150191,0.00037882323,0.00004533506,0.9609576,0.00056033995,0.0031511772,0.0011800132,0.00038673842],"about_ca_topic_score_codex":0.00004896658,"about_ca_topic_score_gemma":0.0002993141,"teacher_disagreement_score":0.73814183,"about_ca_system_score_codex":0.00016087,"about_ca_system_score_gemma":0.00023634065,"threshold_uncertainty_score":0.7494647},"labels":[],"label_agreement":null},{"id":"W2136253824","doi":"10.1109/jsac.2009.091219","title":"Soft-Switching Hybrid FSO/RF Links Using Short-Length Raptor Codes: Design and Implementation","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Raptor code; Bit error rate; Forward error correction; Encoder; Gigabit; Electronic engineering; Radio frequency; Real-time computing; Free-space optical communication; Computer network; Low-density parity-check code; Optical communication; Telecommunications; Decoding methods","score_opus":0.047841870351648254,"score_gpt":0.32543255139522664,"score_spread":0.27759068104357837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136253824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6653995,0.0026786844,0.32780236,0.0022538998,0.00014126152,0.00055949,0.000011396981,0.0007963742,0.0003570371],"genre_scores_gemma":[0.9185737,0.0064610126,0.07474058,0.0001160793,0.000034378634,0.000021411177,0.000014958573,0.000035588357,0.0000022914398],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827963,0.000276754,0.0006898232,0.00016385928,0.00022703562,0.00036287418],"domain_scores_gemma":[0.99768496,0.00071337324,0.00012564557,0.0011508149,0.0002093127,0.00011592624],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005818987,0.0002435976,0.00029519916,0.00047402602,0.0004858932,0.00019927318,0.00110993,0.00017888252,0.000011454621],"category_scores_gemma":[0.00018509466,0.00025582832,0.000050100087,0.000664332,0.000081271035,0.0003823835,0.000083144,0.0020654784,0.000004911312],"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":[0.00007684705,0.0006004079,0.0020473415,0.000029093417,0.000260746,0.000020994312,0.0014117891,0.10139041,0.11055665,0.0045324173,0.0011801693,0.7778931],"study_design_scores_gemma":[0.0010267212,0.0002957791,0.0065502618,0.0003770915,0.0000624848,0.0003338824,0.00077730045,0.95794094,0.024694005,0.0060459115,0.0012150463,0.0006805692],"about_ca_topic_score_codex":0.000009402358,"about_ca_topic_score_gemma":0.000034494624,"teacher_disagreement_score":0.8565505,"about_ca_system_score_codex":0.00037997248,"about_ca_system_score_gemma":0.00008382501,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W2136255046","doi":"10.1109/jsac.2007.070103","title":"Enhancing peer-to-peer systems through redundancy","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Chord (peer-to-peer); Pastry; Redundancy (engineering); Distributed computing; Computer network; Routing table; Peer-to-peer; Fault tolerance; Network topology; Distributed hash table; Static routing; Routing (electronic design automation); Routing protocol","score_opus":0.04279279303619205,"score_gpt":0.33016500893815404,"score_spread":0.287372215901962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136255046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076396435,0.00090397435,0.8560479,0.05114579,0.002124066,0.00074148475,0.00000844752,0.0010400368,0.011591861],"genre_scores_gemma":[0.81035656,0.00013378568,0.1873546,0.000942451,0.00020171356,0.000046648744,0.0000048717807,0.000032534732,0.00092684967],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99604833,0.00034044468,0.0010529226,0.00044928497,0.0012002082,0.000908789],"domain_scores_gemma":[0.99290925,0.001058979,0.0003493136,0.0034700881,0.0019101242,0.0003022521],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0029799931,0.00031312602,0.0004123487,0.00096176483,0.0007249612,0.00058241986,0.0069706826,0.00022107172,0.000004503925],"category_scores_gemma":[0.0019100739,0.00030817604,0.00008973338,0.0050074863,0.000087990484,0.0006523437,0.00074670045,0.0018603576,0.00019879144],"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":[0.0003051437,0.00375554,0.010013152,0.00007721972,0.0006247634,0.00077471207,0.032901585,0.058201015,0.07203703,0.322015,0.35499197,0.14430289],"study_design_scores_gemma":[0.0024582222,0.0017375083,0.039590687,0.0032999453,0.00006690237,0.0034571704,0.0021979455,0.019287253,0.045341093,0.023353888,0.85619086,0.0030185431],"about_ca_topic_score_codex":0.00011587136,"about_ca_topic_score_gemma":0.0008505773,"teacher_disagreement_score":0.7339601,"about_ca_system_score_codex":0.00079335284,"about_ca_system_score_gemma":0.00030062336,"threshold_uncertainty_score":0.99993706},"labels":[],"label_agreement":null},{"id":"W2136302425","doi":"10.1109/jsac.2011.110402","title":"Simple Channel Sensing Order in Cognitive Radio Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":168,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cognitive radio; Channel (broadcasting); Throughput; Computer network; Transmission (telecommunications); Network packet; Resource (disambiguation); Collision; Telecommunications; Wireless; Computer security","score_opus":0.05379817497475146,"score_gpt":0.28920315219406106,"score_spread":0.2354049772193096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136302425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13488878,0.0011980181,0.8461118,0.0012222487,0.0006513056,0.00048310615,0.000003506412,0.00018170581,0.015259531],"genre_scores_gemma":[0.988561,0.0010488249,0.009680418,0.00050884,0.00014642226,0.0000044721587,0.000007155288,0.000023629704,0.000019261744],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99762523,0.0007078422,0.00056940684,0.0003039396,0.00022774257,0.0005658611],"domain_scores_gemma":[0.9973327,0.00088988204,0.00025464216,0.0008219483,0.00054310536,0.00015771601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006819117,0.00022674863,0.0003161339,0.00057374395,0.00043387368,0.00017708106,0.0010966096,0.00012307707,0.000015885897],"category_scores_gemma":[0.00025838346,0.00022949066,0.0000699909,0.0027779543,0.00010844769,0.00043623056,0.00017219313,0.0015878931,0.000009096078],"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":[0.0010546036,0.0073495475,0.04771365,0.000026524653,0.0009287165,0.0030549276,0.053570837,0.06343508,0.0009944962,0.033265684,0.0062453696,0.78236055],"study_design_scores_gemma":[0.0014165976,0.00019427949,0.057070874,0.00054024794,0.000018487379,0.0007625153,0.00027191278,0.9314344,0.00022866094,0.0073182597,0.00027302478,0.00047073368],"about_ca_topic_score_codex":0.00014546674,"about_ca_topic_score_gemma":0.001902118,"teacher_disagreement_score":0.8679993,"about_ca_system_score_codex":0.00023616366,"about_ca_system_score_gemma":0.00019450492,"threshold_uncertainty_score":0.9358357},"labels":[],"label_agreement":null},{"id":"W2139352451","doi":"10.1109/jsac.2008.080606","title":"Stochastic analysis of network coding in epidemic routing","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Linear network coding; Computer network; Correctness; Routing protocol; Coding (social sciences); Distributed computing; Wireless network; Wireless; Network packet; Algorithm; Telecommunications","score_opus":0.06992630000424571,"score_gpt":0.30718141671008253,"score_spread":0.23725511670583682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139352451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09449883,0.00043480002,0.90273315,0.0006272425,0.00019085914,0.0001119373,0.0000026204987,0.000041251104,0.0013593242],"genre_scores_gemma":[0.9849841,0.0007145679,0.014002055,0.00019416626,0.00006144304,0.000007111157,0.000007856555,0.000008660401,0.000020064144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975988,0.00057600916,0.000959647,0.0001974876,0.00028429297,0.00038372364],"domain_scores_gemma":[0.99594975,0.0020034346,0.0005230845,0.0011490233,0.00025263164,0.00012208433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164212,0.00014437438,0.00048917806,0.00079675484,0.00035668135,0.00004060057,0.0017868638,0.00009413043,0.000008735804],"category_scores_gemma":[0.00012891051,0.00014356792,0.00012185612,0.0055644037,0.0001011286,0.0002202,0.00015846614,0.0010254162,0.0000032987114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045497858,0.00056166435,0.101446,0.000003886977,0.00043732132,0.00009139582,0.002439016,0.8615688,0.000098352735,0.016724845,0.0011383551,0.0154448245],"study_design_scores_gemma":[0.0002988172,0.000040682622,0.038815025,0.00017486037,0.000056885085,0.00010663419,0.000025203128,0.9593243,0.0000031008492,0.000988557,0.000032075397,0.00013388193],"about_ca_topic_score_codex":0.000059837876,"about_ca_topic_score_gemma":0.00027447368,"teacher_disagreement_score":0.8904852,"about_ca_system_score_codex":0.00017031275,"about_ca_system_score_gemma":0.0002802952,"threshold_uncertainty_score":0.585453},"labels":[],"label_agreement":null},{"id":"W2139805394","doi":"10.1109/jsac.2012.120915","title":"Moments Based Framework for Performance Analysis of One-Way/Two-Way CSI-Assisted AF Relaying","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Nakagami distribution; Fading; Rayleigh fading; Moment-generating function; Channel state information; Probability density function; Harmonic mean; Cumulative distribution function; Moment (physics); Channel (broadcasting); Algorithm; Function (biology); Telecommunications; Wireless; Mathematics; Statistics","score_opus":0.1109708704052715,"score_gpt":0.3576663757832263,"score_spread":0.24669550537795482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139805394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22874321,0.0016052618,0.76329,0.003531395,0.00039377753,0.0004800535,0.000013899848,0.00011853179,0.0018238777],"genre_scores_gemma":[0.85630745,0.0014537236,0.14166947,0.00037341233,0.000050151542,0.00007253761,0.000024191848,0.000015712021,0.000033368855],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99734783,0.00078501453,0.000839459,0.00020479031,0.00037729662,0.00044563742],"domain_scores_gemma":[0.9937374,0.002130353,0.0006331963,0.002491367,0.00082037115,0.00018733375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001493492,0.00020264299,0.00044457192,0.0010778595,0.00079203583,0.00013898838,0.0030305681,0.000110412046,0.000029069122],"category_scores_gemma":[0.0005009627,0.00020217446,0.00019930485,0.005276967,0.00008805665,0.0006307425,0.00025687166,0.0009819702,0.000007956353],"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":[0.00042769386,0.010603847,0.32284617,0.000096661985,0.004393328,0.0000024252734,0.0109773055,0.07225934,0.01598313,0.24589108,0.0018643042,0.31465474],"study_design_scores_gemma":[0.0013632999,0.00020605094,0.29889432,0.0006137098,0.00031068086,0.000010782459,0.000058376245,0.6920603,0.002235185,0.0005947425,0.0031989464,0.00045365212],"about_ca_topic_score_codex":0.0000043704335,"about_ca_topic_score_gemma":0.00006607413,"teacher_disagreement_score":0.62756425,"about_ca_system_score_codex":0.00031789998,"about_ca_system_score_gemma":0.00015730472,"threshold_uncertainty_score":0.8244435},"labels":[],"label_agreement":null},{"id":"W2140630780","doi":"10.1109/jsac.2004.836005","title":"On Designing Self-Tuning Controllers for AQM Routers Supporting TCP Flows Based on Pole Placement","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Active queue management; Control theory (sociology); Controller (irrigation); Computer science; Full state feedback; Network packet; Queue; Bar (unit); PID controller; Network congestion; Physics; Computer network; Control engineering; Engineering; Control (management)","score_opus":0.023115070525951815,"score_gpt":0.2809371955891734,"score_spread":0.2578221250632216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140630780","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016906835,0.00007434375,0.9676294,0.012531887,0.0004994197,0.0007822056,0.0000054010065,0.00028761613,0.0012829109],"genre_scores_gemma":[0.91480607,0.000036789497,0.08217266,0.0026791291,0.00010398188,0.00013912005,0.000009217035,0.000025486559,0.00002754563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975161,0.00045539427,0.0007092029,0.00032937212,0.00042659917,0.0005633343],"domain_scores_gemma":[0.9957473,0.002153559,0.00047763443,0.0010864625,0.0003193054,0.00021573207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012086175,0.00026270445,0.00032575583,0.00047229225,0.0009394223,0.00031460685,0.0017237889,0.000101532154,0.0000075161847],"category_scores_gemma":[0.00031578814,0.00025194237,0.0001511756,0.00074304844,0.000033922206,0.00024885847,0.00005061513,0.00090865843,0.00001576779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027123955,0.0007271151,0.00011232849,0.00000445857,0.000088259774,0.000014236273,0.00068407774,0.9563928,0.00046481114,0.014545043,0.0008348082,0.02586082],"study_design_scores_gemma":[0.006528162,0.0008782612,0.00017361119,0.00042412657,0.000028807835,0.000024289964,0.00008946303,0.9888647,0.00028113893,0.0012280729,0.0011724228,0.00030689858],"about_ca_topic_score_codex":0.000008001813,"about_ca_topic_score_gemma":0.00006018543,"teacher_disagreement_score":0.8978992,"about_ca_system_score_codex":0.0006735737,"about_ca_system_score_gemma":0.00062846293,"threshold_uncertainty_score":0.99999326},"labels":[],"label_agreement":null},{"id":"W2140887445","doi":"10.1109/jsac.2012.120217","title":"Topology-Aware Modulation and Error-Correction Coding for Cooperative Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Telecommunications Advancement Foundation; Division of Electrical, Communications and Cyber Systems; Division of Computer and Network Systems; Southeast University; University of Waterloo","keywords":"Computer science; Computer network; Telecommunications link; Network topology; Linear network coding; Topology (electrical circuits); Relay; Physical layer; Transmitter; Bit error rate; Throughput; Node (physics); Transmission (telecommunications); Channel (broadcasting); Electronic engineering; Wireless; Network packet; Telecommunications","score_opus":0.06914922741026319,"score_gpt":0.33854816698053186,"score_spread":0.26939893957026867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140887445","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016491653,0.0013527547,0.975113,0.004650635,0.0011294152,0.0004247861,0.00000203708,0.00010650657,0.0007292575],"genre_scores_gemma":[0.9860648,0.0031266706,0.009947732,0.00042410422,0.000235141,0.00008049389,0.000017426431,0.000014158052,0.00008947403],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825317,0.0006806207,0.00042164963,0.00017666678,0.00012398463,0.0003439327],"domain_scores_gemma":[0.997112,0.0011012657,0.00022816574,0.00087165536,0.0005444051,0.00014252159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008712159,0.00016436377,0.00020749203,0.00027323584,0.001111126,0.00018809049,0.0009703754,0.000109081186,0.000007741551],"category_scores_gemma":[0.00022558396,0.00015976638,0.000045988585,0.0009109639,0.000088031324,0.00081645936,0.00019558067,0.0007559256,0.000003553327],"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":[0.00025503823,0.0022764427,0.040976346,0.00002259474,0.00031792154,0.0000030503973,0.015710039,0.111532375,0.005052244,0.28580207,0.025188379,0.5128635],"study_design_scores_gemma":[0.0005854554,0.00011987472,0.019940011,0.000105904466,0.000009699846,0.00009729753,0.00013149403,0.9733959,0.00017812246,0.00032749915,0.004894693,0.00021404038],"about_ca_topic_score_codex":0.0000042477445,"about_ca_topic_score_gemma":0.000109577384,"teacher_disagreement_score":0.96957314,"about_ca_system_score_codex":0.00021994169,"about_ca_system_score_gemma":0.00008075556,"threshold_uncertainty_score":0.85459954},"labels":[],"label_agreement":null},{"id":"W2140965016","doi":"10.1109/jsac.2003.814862","title":"Joint connection level, packet level, and link layer resource allocation for variable bit rate multiclass services in cellular ds-cdma networks with qos constraints","year":2003,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Quality of service; Network packet; Link layer; Code division multiple access; Resource allocation; Distributed computing","score_opus":0.08357449577470405,"score_gpt":0.29596092433769516,"score_spread":0.21238642856299111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140965016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09061128,0.0013312568,0.8964853,0.008490744,0.00024102953,0.0015597108,0.000020663821,0.00014213032,0.0011178289],"genre_scores_gemma":[0.92343515,0.0009925255,0.074806124,0.00038067263,0.000072632385,0.00015886179,0.000044898577,0.000037034497,0.00007212727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955218,0.0022882198,0.00082431384,0.0004303574,0.00036176015,0.00057354436],"domain_scores_gemma":[0.99421024,0.0021622197,0.0004715987,0.001986337,0.00095308904,0.00021652244],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030380988,0.0002856696,0.00037975918,0.00050444633,0.0007492042,0.00052760995,0.0019021652,0.00022905234,0.000010339293],"category_scores_gemma":[0.00036267855,0.00026924073,0.00004512495,0.0021859135,0.00024834598,0.0006547029,0.00021554649,0.0015856668,0.0000045851934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067406154,0.0030890573,0.018533515,0.00021196257,0.0005404606,0.00004586618,0.0055133803,0.68004894,0.031778175,0.20258291,0.002650012,0.05433166],"study_design_scores_gemma":[0.0033845918,0.00031165816,0.012219902,0.00080319715,0.000021196884,0.00017852672,0.00043240684,0.97022146,0.0030112574,0.0019907455,0.0069207167,0.0005043363],"about_ca_topic_score_codex":0.00008748035,"about_ca_topic_score_gemma":0.0013785004,"teacher_disagreement_score":0.8328239,"about_ca_system_score_codex":0.0003604014,"about_ca_system_score_gemma":0.00044525356,"threshold_uncertainty_score":0.999976},"labels":[],"label_agreement":null},{"id":"W2141202063","doi":"10.1109/jsac.2004.826929","title":"Saturation Throughput Analysis of IEEE 802.11e Enhanced Distributed Coordination Function","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":358,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Distributed coordination function; Throughput; Quality of service; Computer network; Access control; IEEE 802; Bandwidth (computing); Wireless Multimedia Extensions; IEEE 802.11e-2005; Distributed computing; Wireless; IEEE 802.11; Wireless network; Telecommunications","score_opus":0.027806743339414765,"score_gpt":0.30501922292485434,"score_spread":0.2772124795854396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141202063","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057372987,0.00009252746,0.9384779,0.0023460146,0.00027340095,0.00091779977,0.000015207601,0.00008048575,0.00042372712],"genre_scores_gemma":[0.99191666,0.00017313454,0.0073520225,0.0001427563,0.00007261983,0.00023633734,0.000085102205,0.00000951937,0.00001185003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979758,0.00041861393,0.0007274015,0.00023694661,0.0003933737,0.00024785748],"domain_scores_gemma":[0.9968432,0.0003566234,0.00064185,0.0012392319,0.0008330838,0.00008600158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005506865,0.00017010095,0.0003456024,0.00065952097,0.0003816725,0.0001774028,0.0013579163,0.0001358939,0.000009338535],"category_scores_gemma":[0.00011116984,0.00016095671,0.00014890404,0.0058202706,0.000066741486,0.0006847609,0.00006524553,0.00067044544,0.000006331229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019933075,0.0018043485,0.003331682,0.000017674134,0.0011083995,0.0000055739083,0.0015797121,0.8606803,0.030533984,0.06715029,0.0013020695,0.032286655],"study_design_scores_gemma":[0.0057692127,0.0019268771,0.41765913,0.00090700603,0.0008209407,0.00006447731,0.000155389,0.49725884,0.03433509,0.035896722,0.0039834445,0.0012228818],"about_ca_topic_score_codex":0.00006436652,"about_ca_topic_score_gemma":0.0005653344,"teacher_disagreement_score":0.93454367,"about_ca_system_score_codex":0.00037860143,"about_ca_system_score_gemma":0.0002946713,"threshold_uncertainty_score":0.6563624},"labels":[],"label_agreement":null},{"id":"W2141684199","doi":"10.1109/49.957316","title":"Link adaptation and power control for streaming services in EGPRS wireless networks","year":2001,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Throughput; Network packet; Power control; Error detection and correction; Packet radio; Frame (networking); Quality of service; Real-time computing; Computer network; Bit error rate; Link adaptation; Word error rate; Wireless; Power (physics); Algorithm; Fading; Telecommunications; Speech recognition","score_opus":0.014740480010574243,"score_gpt":0.250597028134996,"score_spread":0.23585654812442178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141684199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34345913,0.0022624196,0.6520658,0.00070050044,0.00028150628,0.00061389076,0.000010351468,0.00017079487,0.00043556077],"genre_scores_gemma":[0.98577434,0.0068091736,0.0070878323,0.00008631485,0.00010038646,0.00005096417,0.000038119546,0.000045757162,0.000007113391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989005,0.000122031364,0.00046147584,0.000125122,0.00010438181,0.0002864897],"domain_scores_gemma":[0.9986299,0.0006194322,0.00013225552,0.00035810855,0.00018514945,0.000075140575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022823918,0.00016521353,0.00022286414,0.00028746956,0.00017655767,0.00007201084,0.00032455387,0.0001297465,0.0000036627048],"category_scores_gemma":[0.00003140121,0.00018173608,0.000028636987,0.0007125983,0.000031410622,0.00032564191,0.000015865226,0.00062675704,8.0241097e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054721917,0.00004808263,0.0035872634,0.000007701961,0.000022777356,0.0000025558768,0.0004267837,0.9730287,0.0001377559,0.00017820527,0.000017672297,0.02248775],"study_design_scores_gemma":[0.0013253032,0.000050042774,0.011101495,0.0002871509,0.000012153341,0.00003122201,0.00021220211,0.98608047,0.000015311001,0.00032418335,0.00039143857,0.00016900263],"about_ca_topic_score_codex":0.000011120016,"about_ca_topic_score_gemma":0.0010520449,"teacher_disagreement_score":0.644978,"about_ca_system_score_codex":0.00019450652,"about_ca_system_score_gemma":0.000025806483,"threshold_uncertainty_score":0.74109817},"labels":[],"label_agreement":null},{"id":"W2141692617","doi":"10.1109/jsac.2012.120706","title":"Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling Flexibility","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":211,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Electricity; Purchasing; Smart grid; Scheduling (production processes); Dynamic pricing; Minification; Flexibility (engineering); Electricity pricing; Real-time computing; Mathematical optimization; Electricity market; Microeconomics; Economics; Operations management","score_opus":0.05627182290679464,"score_gpt":0.289451121055801,"score_spread":0.23317929814900637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141692617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56794703,0.0033380766,0.41575128,0.0012024977,0.0017778202,0.0011093402,0.000015363867,0.0006822583,0.008176352],"genre_scores_gemma":[0.8775174,0.00080092665,0.12101693,0.00007970669,0.00031537056,0.00014374546,0.000028524582,0.000067755536,0.000029609217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982338,0.00021914265,0.0005721144,0.00016339286,0.00025047024,0.00056106324],"domain_scores_gemma":[0.9975037,0.00070073525,0.00012866332,0.0012234399,0.0002560877,0.00018736073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011365674,0.00025045263,0.00031040225,0.00035815185,0.00037930082,0.00010315603,0.0007984781,0.00009268475,0.000021746046],"category_scores_gemma":[0.00012975415,0.00023094862,0.00007684188,0.0009193421,0.00005969433,0.00039525828,0.000062938554,0.00085397257,0.000015103106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097970194,0.0003422322,0.0055243094,0.000030152078,0.00017528477,0.0000014481598,0.00053790654,0.9870919,0.0010110927,0.0012005743,0.0011864495,0.0028006693],"study_design_scores_gemma":[0.0073334444,0.00040550652,0.08252796,0.0012886197,0.00024848874,0.00019589848,0.0007584222,0.76055163,0.0081405435,0.00055555097,0.13621868,0.0017752572],"about_ca_topic_score_codex":0.0000098594455,"about_ca_topic_score_gemma":0.00007853425,"teacher_disagreement_score":0.30957043,"about_ca_system_score_codex":0.0006076303,"about_ca_system_score_gemma":0.000056087567,"threshold_uncertainty_score":0.9417811},"labels":[],"label_agreement":null},{"id":"W2141946979","doi":"10.1109/jsac.2008.080404","title":"Achieving Single-User Performance in an FEC-Coded DS-CDMA System for Frequency Selective and Flat Fading Channels","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Trellis (graph); Computer science; Algorithm; Convolutional code; Space–time trellis code; Fading; Rayleigh fading; Trellis modulation; Channel (broadcasting); Transmission (telecommunications); Tree (set theory); Code division multiple access; Decoding methods; Computer network; Telecommunications; Mathematics; Concatenated error correction code; Block code","score_opus":0.042592898392527216,"score_gpt":0.2810971730055904,"score_spread":0.23850427461306317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141946979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773805,0.00092099595,0.019339185,0.00014141595,0.00013065434,0.0006124402,0.000009567096,0.0005130087,0.00095219165],"genre_scores_gemma":[0.96568197,0.0028624593,0.031011337,0.000027388209,0.00006055733,0.00024722642,0.000020291125,0.00007774102,0.000011020169],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982452,0.00029126133,0.0006893314,0.00020310874,0.00016844097,0.00040269212],"domain_scores_gemma":[0.99771833,0.0005582008,0.00020162207,0.0010517489,0.000349735,0.00012036927],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040220324,0.00026671094,0.00037555152,0.00068560796,0.00062075834,0.000074144365,0.0010277322,0.00016124679,0.0000013931791],"category_scores_gemma":[0.0001316766,0.00029265138,0.00004692616,0.0010079024,0.000102226695,0.0008716473,0.00006866956,0.0012212618,0.0000019765707],"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":[0.0003434881,0.0014023347,0.1443027,0.00059400435,0.000315704,0.00004154027,0.023333082,0.28044784,0.509098,0.006318721,0.00035199683,0.033450633],"study_design_scores_gemma":[0.005609738,0.0016330591,0.10913271,0.0062158047,0.0000823664,0.0021729968,0.0015478823,0.65514255,0.21226607,0.0015158968,0.0019280467,0.0027528885],"about_ca_topic_score_codex":0.000011800519,"about_ca_topic_score_gemma":0.00018360265,"teacher_disagreement_score":0.3746947,"about_ca_system_score_codex":0.000930121,"about_ca_system_score_gemma":0.00006996326,"threshold_uncertainty_score":0.99995255},"labels":[],"label_agreement":null},{"id":"W2141960788","doi":"10.1109/jsac-ocn.2007.027806","title":"Dynamic path-protected service provisioning in optical transport networks with a limited number of add/drop ports and transmitter tunability","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer network; Provisioning; Drop (telecommunication); Computer science; Transmitter; Blocking (statistics); Optical networking; Node (physics); Distributed computing; Telecommunications; Wavelength-division multiplexing; Wavelength; Materials science; Optoelectronics; Engineering","score_opus":0.009164538434716141,"score_gpt":0.252352634480164,"score_spread":0.24318809604544783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141960788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90220124,0.00023281622,0.096219935,0.00036188774,0.000031070602,0.00039496517,0.000003449116,0.00020677157,0.00034786452],"genre_scores_gemma":[0.89691347,0.00045901802,0.102495685,0.00004139372,0.000008926641,0.000028001057,0.000011624162,0.00004010561,0.0000017695088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99830216,0.0000814371,0.000770762,0.00019703577,0.00021184175,0.00043674288],"domain_scores_gemma":[0.99825746,0.0005547968,0.00010859597,0.0007152671,0.0002530477,0.000110833695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047495225,0.00023298585,0.00037072517,0.00025259028,0.00009408884,0.00001769645,0.00047959838,0.00024841723,0.000009692702],"category_scores_gemma":[0.000086409105,0.00020655632,0.000036304486,0.00194676,0.00018706507,0.00018468534,0.000028760145,0.0020020127,7.255277e-7],"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":[0.00093891163,0.0012102245,0.1724855,0.0001816285,0.00018049724,0.00023782166,0.0014185965,0.76583016,0.0047601867,0.0006233348,0.000014609764,0.052118532],"study_design_scores_gemma":[0.0014433941,0.00018188106,0.5106303,0.001074833,0.00003885353,0.00036731135,0.00023924913,0.48442653,0.00020736006,0.0009074335,0.000064111206,0.00041875237],"about_ca_topic_score_codex":0.000015553846,"about_ca_topic_score_gemma":0.0014662227,"teacher_disagreement_score":0.33814478,"about_ca_system_score_codex":0.0001998785,"about_ca_system_score_gemma":0.00004707209,"threshold_uncertainty_score":0.8697861},"labels":[],"label_agreement":null},{"id":"W2142717204","doi":"10.1109/jsac.2014.2328171","title":"Min Flow Rate Maximization for Software Defined Radio Access Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"Huawei Technologies","keywords":"Computer science; Backhaul (telecommunications); Computer network; Radio access network; Software-defined networking; Wireless network; Base station; Cloud computing; Access network; Wireless; Distributed computing; Telecommunications","score_opus":0.024414862608522325,"score_gpt":0.27329429164677055,"score_spread":0.24887942903824822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142717204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012853043,0.00038072534,0.9963647,0.00028049748,0.0005619615,0.0004451515,0.000012813351,0.0002828462,0.00038597194],"genre_scores_gemma":[0.8243576,0.001355689,0.17321515,0.00011964158,0.00031020827,0.00021108743,0.00024059959,0.000117778996,0.00007219411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998559,0.00028778543,0.00058501906,0.00014949894,0.0001046891,0.00031401523],"domain_scores_gemma":[0.9975457,0.00092080503,0.00019702702,0.0008091324,0.00042188505,0.00010544628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046679095,0.00020657778,0.00027198368,0.00032047278,0.00031927225,0.00016088363,0.0008798808,0.00015003083,0.000010452184],"category_scores_gemma":[0.00071410486,0.00022035226,0.00006373925,0.000878405,0.0000315771,0.00044599565,0.000036259076,0.0005555144,0.000006008065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025350213,0.000053178173,0.0004690995,0.00001566926,0.000029012077,4.0207735e-7,0.00007184677,0.98949796,0.00012305733,0.0002170632,0.0020054337,0.0074919546],"study_design_scores_gemma":[0.00092469883,0.000054015334,0.00078265765,0.00018251118,0.00002247759,0.000025150768,0.0000075803146,0.9934164,0.00019868345,0.00091440236,0.0032360784,0.00023531659],"about_ca_topic_score_codex":0.0000037472312,"about_ca_topic_score_gemma":0.00014651443,"teacher_disagreement_score":0.82314956,"about_ca_system_score_codex":0.0003114481,"about_ca_system_score_gemma":0.000048611906,"threshold_uncertainty_score":0.8985704},"labels":[],"label_agreement":null},{"id":"W2142966661","doi":"10.1109/jsac.2005.858874","title":"Capacity of future WCDMA networks supporting multimedia services","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer network; Quality of service; Telecommunications link; Dimensioning; Session (web analytics); Code division multiple access; Data as a service; Channel (broadcasting); Multimedia; Service (business); World Wide Web","score_opus":0.0326628706888007,"score_gpt":0.3179946046316249,"score_spread":0.2853317339428242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142966661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70938325,0.0069483165,0.19873996,0.07305775,0.0014601621,0.0015196134,0.00002494224,0.00068238116,0.008183624],"genre_scores_gemma":[0.91022617,0.0027356031,0.08629143,0.00029850542,0.00035739242,0.000026150627,0.000012918274,0.000020123298,0.000031696472],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964887,0.0011369624,0.0010103224,0.0002471668,0.000579113,0.00053773506],"domain_scores_gemma":[0.99373007,0.0011480742,0.00072456955,0.0032392095,0.0009313584,0.00022669164],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0015094009,0.00020964404,0.00034017564,0.00049141556,0.00050486444,0.00020331005,0.007215427,0.00018444189,0.000027210444],"category_scores_gemma":[0.00012679119,0.00020080835,0.000105219995,0.0022406648,0.0001569229,0.00079942745,0.00061561196,0.002242649,0.000021116532],"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":[0.0001082316,0.003403565,0.032621097,0.00006257005,0.00028101093,0.000017713623,0.010639787,0.2846481,0.004382867,0.022171196,0.0048662396,0.6367976],"study_design_scores_gemma":[0.0005902267,0.00006899655,0.02403199,0.00020901815,0.000006621177,0.000087978646,0.00010842139,0.96632046,0.00069163035,0.00030696852,0.0073576733,0.00021999313],"about_ca_topic_score_codex":0.000047885533,"about_ca_topic_score_gemma":0.0010537562,"teacher_disagreement_score":0.6816724,"about_ca_system_score_codex":0.00024256234,"about_ca_system_score_gemma":0.0002572277,"threshold_uncertainty_score":0.998156},"labels":[],"label_agreement":null},{"id":"W2143535483","doi":"10.1109/jsac.2008.080117","title":"Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":525,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Nash equilibrium; Computer science; Collusion; Cognitive radio; Oligopoly; Service provider; Profit (economics); Quality of service; Price of stability; Dynamic pricing; Best response; Profit maximization; Game theory; Computer network; Sequential game; Microeconomics; Mathematical optimization; Business; Service (business); Economics; Telecommunications; Wireless; Cournot competition; Mathematics","score_opus":0.02722329959451862,"score_gpt":0.28518982667317366,"score_spread":0.25796652707865503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143535483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8067044,0.0014228803,0.18909353,0.00077680877,0.00016969819,0.0005647862,0.000006380053,0.000045497072,0.001216033],"genre_scores_gemma":[0.9919089,0.0024609761,0.00542746,0.00008955505,0.00005448384,0.00001306688,0.000008129125,0.00001913087,0.000018289164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804264,0.00027063416,0.0006768726,0.0003413619,0.00022953673,0.00043892208],"domain_scores_gemma":[0.9968405,0.0018158229,0.0003814334,0.0005129587,0.00034359974,0.000105709936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062265736,0.00020403984,0.0004145217,0.0006270226,0.00032825148,0.00008993226,0.00091224484,0.000087996574,0.0000023109517],"category_scores_gemma":[0.00027830474,0.00021025752,0.000072562354,0.0019535376,0.00021329956,0.00035544782,0.0002779843,0.00081426546,4.5803696e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028993536,0.01123983,0.23459262,0.0002431132,0.00094241824,0.0010461597,0.058445815,0.33495465,0.028218368,0.18142565,0.0005072231,0.1454848],"study_design_scores_gemma":[0.0017162602,0.00035188964,0.09875104,0.0010935927,0.000013285499,0.00059523626,0.00015809905,0.8952472,0.00031283274,0.0014683792,0.00004028912,0.0002518886],"about_ca_topic_score_codex":0.000034376615,"about_ca_topic_score_gemma":0.0007080877,"teacher_disagreement_score":0.56029254,"about_ca_system_score_codex":0.00029666827,"about_ca_system_score_gemma":0.00020117816,"threshold_uncertainty_score":0.8574053},"labels":[],"label_agreement":null},{"id":"W2144211846","doi":"10.1109/jsac.2011.110118","title":"Time and Location-Critical Emergency Message Dissemination for Vehicular Ad-Hoc Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Dissemination; Vehicular ad hoc network; Wireless ad hoc network; Computer network; Scalability; Coding (social sciences); Information Dissemination; Distributed computing; Telecommunications; Wireless","score_opus":0.0192923219771552,"score_gpt":0.27230814944303405,"score_spread":0.25301582746587886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144211846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64214474,0.075644016,0.26469094,0.0029689786,0.0025144662,0.0027668132,0.00008382069,0.0012181805,0.007968075],"genre_scores_gemma":[0.98619086,0.0076979385,0.0056725624,0.000030972682,0.00011374002,0.00009577225,0.00006622395,0.00006266046,0.000069295624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859536,0.00018229242,0.00052516285,0.00016047836,0.00016632462,0.00037039022],"domain_scores_gemma":[0.99807686,0.000494267,0.00008420489,0.00066672335,0.0005044195,0.00017354786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048066728,0.00020204004,0.0002270774,0.00020603748,0.00030091085,0.000046119436,0.00053912913,0.00017010624,0.00008016037],"category_scores_gemma":[0.00034415527,0.0002135554,0.000056129775,0.0007826186,0.00009268852,0.0002530423,0.000038941045,0.000770793,0.000016217564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015409275,0.0009852736,0.0013719953,0.00011015496,0.00040509691,0.000027300772,0.0028053806,0.92639494,0.0035531365,0.0033303404,0.02372129,0.037140988],"study_design_scores_gemma":[0.0003243936,0.00009963963,0.0076577854,0.00025252358,0.00006147017,0.00008977512,0.00004604939,0.98750603,0.00017168079,0.00079517195,0.0027143378,0.00028116303],"about_ca_topic_score_codex":0.0000017296802,"about_ca_topic_score_gemma":0.00008552583,"teacher_disagreement_score":0.34404612,"about_ca_system_score_codex":0.00015244145,"about_ca_system_score_gemma":0.000040771167,"threshold_uncertainty_score":0.87085366},"labels":[],"label_agreement":null},{"id":"W2144295065","doi":"10.1109/jsac.2012.120919","title":"Two-Way Amplify-and-Forward Multiple-Input Multiple-Output Relay Networks with Antenna Selection","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Computer science; Fading; Diversity gain; Antenna (radio); Cooperative diversity; Relay channel; MIMO; Selection (genetic algorithm); Computer network; Channel state information; Telecommunications; Channel (broadcasting); Topology (electrical circuits); Wireless; Electrical engineering; Engineering; Artificial intelligence; Power (physics)","score_opus":0.04527269415622559,"score_gpt":0.29719683974577427,"score_spread":0.2519241455895487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144295065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12650098,0.004768744,0.86018556,0.00468816,0.00062439207,0.0007495155,0.000004726272,0.00045056254,0.0020273244],"genre_scores_gemma":[0.9504992,0.0053003016,0.043173976,0.00057503756,0.00022399946,0.00006912285,0.000015695092,0.00003716182,0.000105507104],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965955,0.0013169461,0.00068845355,0.00032838792,0.00036634534,0.0007043597],"domain_scores_gemma":[0.99480146,0.001918199,0.00042924072,0.0017966905,0.0006708993,0.00038350874],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012784934,0.00034437884,0.0003752956,0.0004962957,0.001352379,0.0003811172,0.0022239387,0.00015181725,0.000009866578],"category_scores_gemma":[0.0004203063,0.00029508528,0.000074708034,0.0021938288,0.00016950621,0.0011127982,0.00043770755,0.0022355993,0.000021129092],"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":[0.0005301316,0.0035212308,0.71782607,0.00002263204,0.0005959135,0.000018901532,0.0094299,0.058742244,0.005943024,0.037714824,0.0037325732,0.16192257],"study_design_scores_gemma":[0.0026010515,0.00029392372,0.12661129,0.00037280482,0.000035655437,0.00078950735,0.00011361116,0.8569123,0.00022752023,0.000081714665,0.011316265,0.00064432214],"about_ca_topic_score_codex":0.00002803818,"about_ca_topic_score_gemma":0.0011050906,"teacher_disagreement_score":0.8239982,"about_ca_system_score_codex":0.00032607102,"about_ca_system_score_gemma":0.00015062206,"threshold_uncertainty_score":0.9999501},"labels":[],"label_agreement":null},{"id":"W2144776482","doi":"10.1109/jsac.2013.sup2.1213008","title":"Dynamic Service Placement in Geographically Distributed Clouds","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Service provider; Nash equilibrium; Cloud computing; Service (business); Context (archaeology); Key (lock); Service delivery framework; Game theory; Distributed computing; Operations research; Computer security; Microeconomics; Business; Economics","score_opus":0.014706337987576212,"score_gpt":0.26001886520386935,"score_spread":0.24531252721629315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144776482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91342735,0.00027850224,0.047556844,0.03596467,0.00032131138,0.0005365455,0.0000041606677,0.00020463803,0.0017059745],"genre_scores_gemma":[0.98624384,0.00015269179,0.01245478,0.0009913654,0.000022556675,0.00005319874,0.000011426762,0.0000125356555,0.00005761607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776465,0.0005170459,0.0006294074,0.00027038465,0.00037438824,0.0004441368],"domain_scores_gemma":[0.99725044,0.0004012957,0.00022821673,0.0016256911,0.00034307857,0.00015128145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006026708,0.00019121531,0.00022280353,0.0005362033,0.00032831205,0.00032956505,0.0034197657,0.0000862145,0.000019097693],"category_scores_gemma":[0.00007789935,0.00017474385,0.00006528173,0.0031477592,0.000047791505,0.000077166405,0.0005396695,0.001115964,0.00007081568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013181473,0.011233363,0.06185157,0.000110878274,0.0005664379,0.00019313238,0.008464699,0.7473001,0.0032362896,0.033831935,0.016248075,0.116831735],"study_design_scores_gemma":[0.0010146005,0.0001286425,0.16927567,0.00028056526,0.000007361185,0.000066890374,0.00013165102,0.8216374,0.00001708187,0.0038335044,0.0033141705,0.00029244716],"about_ca_topic_score_codex":0.00021548908,"about_ca_topic_score_gemma":0.000709626,"teacher_disagreement_score":0.11653929,"about_ca_system_score_codex":0.00032198202,"about_ca_system_score_gemma":0.000101395446,"threshold_uncertainty_score":0.71258473},"labels":[],"label_agreement":null},{"id":"W2146432102","doi":"10.1109/jsac.2005.863867","title":"A position-based QoS routing scheme for UWB mobile ad hoc networks","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; Adaptive quality of service multi-hop routing; Wireless ad hoc network; Quality of service; Mobile ad hoc network; Optimized Link State Routing Protocol; Ad hoc wireless distribution service; Bandwidth (computing); Wireless Routing Protocol; Destination-Sequenced Distance Vector routing; Dynamic Source Routing; Reservation; Geographic routing; Distributed computing; Routing (electronic design automation); Wireless; Routing protocol; Telecommunications","score_opus":0.011775408691204598,"score_gpt":0.2526607263988855,"score_spread":0.24088531770768087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146432102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59697026,0.031590894,0.349311,0.0067857252,0.0010670073,0.0029338233,0.00012431358,0.003034877,0.008182147],"genre_scores_gemma":[0.96048486,0.0015654863,0.036901493,0.00013520457,0.00010589502,0.0005669662,0.00014372049,0.00006440011,0.000031989493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984616,0.00016262244,0.000664109,0.00014972215,0.00014070021,0.00042124625],"domain_scores_gemma":[0.9966938,0.0010836833,0.00016996953,0.0016429587,0.0003407243,0.00006889662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003283474,0.00022185122,0.00026341734,0.00045452715,0.0005554159,0.000098217715,0.0014775352,0.0002314136,0.000015843047],"category_scores_gemma":[0.00011206785,0.0002451705,0.00011449284,0.0011460753,0.00009869233,0.00014140128,0.00004346083,0.0013134088,0.000011271473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010528315,0.0014640117,0.003984496,0.000030018988,0.00020080384,0.000006390257,0.0002631974,0.9221986,0.023838295,0.00501997,0.013647761,0.029241186],"study_design_scores_gemma":[0.002358186,0.00031172723,0.0040232367,0.00044619586,0.000070336944,0.00014438844,0.00012350173,0.92768854,0.004884383,0.002706463,0.056527838,0.0007151799],"about_ca_topic_score_codex":0.000010066475,"about_ca_topic_score_gemma":0.00041991676,"teacher_disagreement_score":0.3635146,"about_ca_system_score_codex":0.00043809772,"about_ca_system_score_gemma":0.00010929382,"threshold_uncertainty_score":0.9997762},"labels":[],"label_agreement":null},{"id":"W2146439054","doi":"10.1109/jsac.2010.100905","title":"Distributed target tracking using signal strength measurements by a wireless sensor network","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada); University of British Columbia","funders":"","keywords":"Computer science; Wireless sensor network; Scalability; Tracking (education); Real-time computing; Estimator; Wireless network; Wireless; Computer network; Telecommunications","score_opus":0.03495093487898,"score_gpt":0.27031041445997994,"score_spread":0.23535947958099995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146439054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88886696,0.0005065861,0.1074703,0.00035778657,0.00083918904,0.0003049737,0.0001283422,0.0007912928,0.0007345596],"genre_scores_gemma":[0.991302,0.00020321268,0.008186221,0.000039946903,0.000118615935,0.000016640139,0.000082981256,0.000045027595,0.0000053606373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984956,0.00014960572,0.00051528896,0.00013010004,0.00028585247,0.0004235699],"domain_scores_gemma":[0.99860936,0.00019390842,0.00014212258,0.0006324642,0.00032386434,0.00009828112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003530549,0.00021447173,0.00024132035,0.00020019223,0.00046123785,0.0001367657,0.00082622626,0.0002151458,0.000053964657],"category_scores_gemma":[0.00013898672,0.00021833209,0.000059808328,0.0010721884,0.00008989167,0.00019024737,0.000039682527,0.0017692718,0.000006171169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006339026,0.00073205144,0.050298993,0.000032215936,0.00036874166,0.000020232786,0.0004683397,0.6096942,0.30712676,0.0007744568,0.016620105,0.013800538],"study_design_scores_gemma":[0.0017933147,0.00009699783,0.005180866,0.00043539298,0.00007878939,0.00021712811,0.00025593495,0.845213,0.1326682,0.0012095737,0.01186275,0.0009880742],"about_ca_topic_score_codex":0.000012224579,"about_ca_topic_score_gemma":0.00012696511,"teacher_disagreement_score":0.23551881,"about_ca_system_score_codex":0.00021997851,"about_ca_system_score_gemma":0.00007338695,"threshold_uncertainty_score":0.8903324},"labels":[],"label_agreement":null},{"id":"W2146745654","doi":"10.1109/jsac.2006.881628","title":"Fair Allocation of Subcarrier and Power in an OFDMA Wireless Mesh Network","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":118,"is_retracted":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 mesh network; Computer science; Subcarrier; Mesh networking; Scheduling (production processes); Switched mesh; Orthogonal frequency-division multiple access; Shared mesh; Computer network; Integer programming; Mathematical optimization; Distributed computing; Wireless; Wireless network; Orthogonal frequency-division multiplexing; Algorithm; Telecommunications; Mathematics","score_opus":0.010715356699834356,"score_gpt":0.24599905267313998,"score_spread":0.23528369597330562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146745654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98250514,0.00097450893,0.015160398,0.00019836494,0.00014653876,0.00019940603,0.0000058928445,0.000085341526,0.0007244139],"genre_scores_gemma":[0.9923187,0.002235635,0.005231163,0.000023402246,0.00007588381,0.00002822796,0.000037849266,0.00003961521,0.000009530864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987371,0.00020037843,0.00055559655,0.00011627722,0.00014993691,0.00024071019],"domain_scores_gemma":[0.9988649,0.00019629051,0.00015372771,0.0005137347,0.00021087425,0.00006045792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023977058,0.00014995244,0.00022944574,0.0002656773,0.00010415034,0.000034816396,0.0003735806,0.00011593914,0.000009022176],"category_scores_gemma":[0.000021080976,0.00016593434,0.000023420911,0.0011176984,0.00006742075,0.00034536826,0.000025764393,0.00057835015,7.6557086e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025360134,0.00013152407,0.029572466,0.0000067697893,0.00001336969,0.0000017118653,0.00018951834,0.96253914,0.002328944,0.0025804942,0.00024247423,0.0023682194],"study_design_scores_gemma":[0.00087657827,0.00007320577,0.20739156,0.0003622007,0.000015502348,0.00002525164,0.00007844404,0.7874026,0.0010477499,0.0021309115,0.00029514264,0.00030085657],"about_ca_topic_score_codex":0.00002193217,"about_ca_topic_score_gemma":0.0010424587,"teacher_disagreement_score":0.17781909,"about_ca_system_score_codex":0.00016130538,"about_ca_system_score_gemma":0.000042545005,"threshold_uncertainty_score":0.6766606},"labels":[],"label_agreement":null},{"id":"W2147730843","doi":"10.1109/jsac.2007.070209","title":"Joint optimization of relay strategies and resource allocations in cooperative cellular networks","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":503,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Relay; Computer network; Wireless network; Relay channel; Orthogonal frequency-division multiple access; Node (physics); Resource allocation; Bandwidth (computing); Link Access Procedure for Frame Relay; Physical layer; Wireless; Channel (broadcasting); Telecommunications; Orthogonal frequency-division multiplexing; Power (physics); Engineering","score_opus":0.042511453987379835,"score_gpt":0.2898647024568767,"score_spread":0.24735324846949686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147730843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033150014,0.0027843511,0.95715064,0.0028294898,0.000083682906,0.00029271792,9.423341e-7,0.000050056937,0.0036580807],"genre_scores_gemma":[0.9612973,0.005458898,0.03297414,0.00017555867,0.000027616417,0.000013276676,0.00001224285,0.000012007378,0.000028977338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977291,0.00079395226,0.0008153667,0.00020071701,0.00019937346,0.00026148045],"domain_scores_gemma":[0.99700475,0.000816589,0.00033113203,0.0011747202,0.00057009194,0.0001027237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016300555,0.0001587841,0.0002518706,0.00058830203,0.00039584117,0.00021474954,0.0013135888,0.00010303471,0.000007845084],"category_scores_gemma":[0.00022778014,0.0001578669,0.000035827085,0.002274961,0.00016292586,0.0006356115,0.0002447254,0.0010136802,0.0000011356918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024283163,0.00037732502,0.00088278536,0.0000035836385,0.000023669072,0.0000058290975,0.0025883499,0.9309969,0.0018395494,0.056232207,0.00018697041,0.0068385657],"study_design_scores_gemma":[0.0008604464,0.00016848296,0.014055353,0.0003685874,0.000008148773,0.000049244078,0.00085972284,0.98085845,0.000963067,0.00036237427,0.0011813812,0.0002647286],"about_ca_topic_score_codex":0.000015953021,"about_ca_topic_score_gemma":0.0008076815,"teacher_disagreement_score":0.92814726,"about_ca_system_score_codex":0.00017040469,"about_ca_system_score_gemma":0.00023480633,"threshold_uncertainty_score":0.6437625},"labels":[],"label_agreement":null},{"id":"W2148656332","doi":"10.1109/jsac.2005.854119","title":"Conflict classification and analysis of distributed firewall policies","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":288,"is_retracted":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":"Firewall (physics); Computer science; Application firewall; Context-based access control; DMZ; Security policy; Computer security; Network security; Distributed computing; Stateful firewall; Entropy (arrow of time)","score_opus":0.04643447313465448,"score_gpt":0.31568186122946795,"score_spread":0.26924738809481347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148656332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50228,0.0022582975,0.47430098,0.018555136,0.00012645165,0.00022702223,0.000038282804,0.00017974585,0.002034115],"genre_scores_gemma":[0.97950524,0.0020892571,0.018137518,0.00015793052,0.000027923135,0.000005887614,0.00004433542,0.000005028288,0.000026850583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988699,0.00022956653,0.0004317729,0.0001355419,0.00017979328,0.00015343506],"domain_scores_gemma":[0.9980902,0.0003353914,0.00034608087,0.0007508724,0.00040371428,0.00007375997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035657646,0.00009537789,0.0002077646,0.000577462,0.00024506185,0.00014703134,0.0008977514,0.000062687235,0.0000034639131],"category_scores_gemma":[0.00011950559,0.0000897592,0.000047197613,0.0032110487,0.00008862789,0.00033230818,0.00006379578,0.0003146007,0.0000015002424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014527165,0.0035348742,0.20065859,0.000039347713,0.0021666114,0.0000052997557,0.029403796,0.34894392,0.007748872,0.08236247,0.0066383784,0.31835255],"study_design_scores_gemma":[0.0002352783,0.000033302833,0.14493091,0.000046192294,0.00008034092,0.0000134315815,0.00003135321,0.8515363,0.00020492049,0.00020764323,0.0025790774,0.000101275444],"about_ca_topic_score_codex":0.000015233459,"about_ca_topic_score_gemma":0.00013986182,"teacher_disagreement_score":0.5025923,"about_ca_system_score_codex":0.000098056196,"about_ca_system_score_gemma":0.00009664573,"threshold_uncertainty_score":0.3660274},"labels":[],"label_agreement":null},{"id":"W2148823080","doi":"10.1109/49.848259","title":"Zerotree pattern coding of motion picture residues for error-resilient transmission of video sequences","year":2000,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Quadtree; Computer science; Artificial intelligence; Coding (social sciences); Computer vision; Pixel; Data compression; Context-adaptive binary arithmetic coding; Coding tree unit; Wavelet; Sub-band coding; Pattern recognition (psychology); Wavelet transform; Algorithm; Decoding methods; Mathematics; Statistics","score_opus":0.04133638367224079,"score_gpt":0.3327204557964102,"score_spread":0.2913840721241694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148823080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06089469,0.00039291938,0.9364267,0.0014714904,0.000055789955,0.00037374554,0.000032062006,0.000088345645,0.0002642268],"genre_scores_gemma":[0.86700934,0.0012423297,0.13157338,0.000073858886,0.000018276853,0.000031431387,0.000014384675,0.000010682477,0.000026301466],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981937,0.0003217991,0.0007351586,0.00021176676,0.00033570046,0.00020191373],"domain_scores_gemma":[0.9972195,0.00054090645,0.0004408855,0.0013172353,0.00040255015,0.00007894124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042685095,0.00014950476,0.00027879316,0.00032842607,0.00022991092,0.000038498667,0.0024185975,0.00009526833,0.000027777496],"category_scores_gemma":[0.0000960734,0.00012706807,0.00008642089,0.0007021238,0.00010968356,0.0005175283,0.00007708356,0.00046077874,0.000001027358],"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":[0.0001669459,0.0009678445,0.0026568456,0.00008178072,0.000047186833,0.0000043366213,0.0023344853,0.010528453,0.11026275,0.0030581024,0.0021289035,0.8677624],"study_design_scores_gemma":[0.0024569926,0.0014285889,0.029363498,0.0051066885,0.000052215444,0.00016090652,0.0001955011,0.13706373,0.7649715,0.048868995,0.009560597,0.00077078136],"about_ca_topic_score_codex":0.000025795163,"about_ca_topic_score_gemma":0.000048547496,"teacher_disagreement_score":0.8669916,"about_ca_system_score_codex":0.00008505719,"about_ca_system_score_gemma":0.000104153834,"threshold_uncertainty_score":0.5181685},"labels":[],"label_agreement":null},{"id":"W2149262387","doi":"10.1109/jsac.2005.851791","title":"Optimal resource allocation and fairness control in all-optical WDM networks","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Resource allocation; Heuristic; Markov decision process; Mathematical optimization; Max-min fairness; Markov process; Wavelength-division multiplexing; Network topology; Multiplexing; Resource management (computing); Distributed computing; Computer network; Mathematics; Wavelength; Telecommunications","score_opus":0.017608666734662295,"score_gpt":0.26551459147723416,"score_spread":0.24790592474257186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149262387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65727514,0.0060139243,0.31577492,0.014702194,0.00018765565,0.00072882907,0.0000061465885,0.0009869216,0.004324269],"genre_scores_gemma":[0.95853007,0.0025053096,0.038568225,0.00020532067,0.00009670771,0.000043006174,0.000007913738,0.00003386146,0.0000096133745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986688,0.00012506948,0.0005076834,0.00014860665,0.00015050698,0.0003993429],"domain_scores_gemma":[0.99834985,0.00076491514,0.00006575611,0.0006259596,0.00008836928,0.00010517434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032338506,0.00018583848,0.0002548408,0.0002807579,0.000113295646,0.00006610349,0.0006414668,0.00021346135,0.0000056027607],"category_scores_gemma":[0.0002118067,0.00018949332,0.000030218273,0.0006838684,0.00015653718,0.00022774888,0.000060245133,0.0017485995,0.000006733795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036073445,0.00010714604,0.00077143376,0.0000026884409,0.000026448843,0.0000055851583,0.00008147964,0.9688761,0.00040750546,0.002586781,0.00035915992,0.026739553],"study_design_scores_gemma":[0.0010217294,0.00006669349,0.0083273975,0.00013356257,0.000016073724,0.00009686971,0.00008756584,0.98198783,0.000104549516,0.00043855413,0.00747712,0.00024205791],"about_ca_topic_score_codex":0.0000019177373,"about_ca_topic_score_gemma":0.00018973954,"teacher_disagreement_score":0.3012549,"about_ca_system_score_codex":0.00032049732,"about_ca_system_score_gemma":0.000022072574,"threshold_uncertainty_score":0.77273136},"labels":[],"label_agreement":null},{"id":"W2149988228","doi":"10.1109/jsac.2007.070112","title":"Efficient search and scheduling in P2P-based media-on-demand streaming service","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":70,"is_retracted":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":"Hong Kong University of Science and Technology","keywords":"Computer science; Scheduling (production processes); Exploit; Computer network; Quality of service; Asynchronous communication; Coding (social sciences); Linear network coding; Overlay network; Distributed computing; The Internet; Network packet; World Wide Web","score_opus":0.04139729300686496,"score_gpt":0.3147303436373587,"score_spread":0.27333305063049373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149988228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92436385,0.00031733405,0.063553065,0.010915219,0.00012877118,0.00021250577,0.0000023489147,0.00016301892,0.00034386784],"genre_scores_gemma":[0.91241187,0.00008578697,0.08671067,0.00072504993,0.00003591385,0.000011134132,0.0000024677638,0.000013643331,0.000003449918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997853,0.0002948515,0.0005184903,0.00030162564,0.000489152,0.0005428934],"domain_scores_gemma":[0.99574775,0.0021721371,0.00011709891,0.0014117584,0.0003671329,0.00018411709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020674488,0.00018654164,0.0002309117,0.001317503,0.0003492124,0.00019156637,0.0026462723,0.00013401898,0.0000019709196],"category_scores_gemma":[0.0005642137,0.00018165245,0.000028298204,0.0038444172,0.000078816935,0.000109108296,0.00037528857,0.0015759055,0.000013959535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009779125,0.0010524647,0.016228927,0.000016965501,0.00003039086,0.000111335,0.0035950192,0.89550894,0.00411305,0.005326175,0.00010877437,0.07381018],"study_design_scores_gemma":[0.0012143494,0.00020298552,0.108582705,0.0008272319,0.0000058294245,0.00009216373,0.00035903088,0.8831602,0.0041760653,0.0007443409,0.00026862798,0.0003664967],"about_ca_topic_score_codex":0.0000606771,"about_ca_topic_score_gemma":0.0018215732,"teacher_disagreement_score":0.092353776,"about_ca_system_score_codex":0.00035220146,"about_ca_system_score_gemma":0.00021818916,"threshold_uncertainty_score":0.74075717},"labels":[],"label_agreement":null},{"id":"W2150943066","doi":"10.1109/jsac.2002.807342","title":"Performance analysis of ad hoc wireless LANs for real-time traffic","year":2003,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Network packet; Wireless; Throughput; Base station; Wireless lan; Distributed computing; Real-time computing; Telecommunications","score_opus":0.031348771216967435,"score_gpt":0.3017720357285887,"score_spread":0.27042326451162124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150943066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618204,0.00032349926,0.031246735,0.00094552414,0.00015298207,0.0023229076,0.000023871356,0.00011404106,0.00305004],"genre_scores_gemma":[0.9746005,0.0019407248,0.022801181,0.000057773483,0.000021165037,0.0004583377,0.000012269519,0.00001357416,0.00009445627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982561,0.000437213,0.00058348995,0.00018822633,0.00023732119,0.0002976723],"domain_scores_gemma":[0.996914,0.0008015103,0.0003846179,0.0013611617,0.00043783773,0.0001008316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082616054,0.00014692274,0.00039170243,0.00056901784,0.00031901448,0.000092698974,0.0018769763,0.000091797716,0.000014782555],"category_scores_gemma":[0.00006218112,0.00013499495,0.00016101092,0.0033141244,0.000061225845,0.0002521201,0.000044239325,0.00042226457,0.000004841452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043034492,0.004559005,0.0198288,0.00011222021,0.0028744827,0.000013032138,0.0063264733,0.5966721,0.00977714,0.03548444,0.0065693534,0.3173526],"study_design_scores_gemma":[0.0009155352,0.0004073763,0.01633269,0.0001964868,0.00013680289,0.000027039368,0.000024217781,0.9746042,0.0007874232,0.0002216725,0.0060687163,0.00027783113],"about_ca_topic_score_codex":0.0000036171245,"about_ca_topic_score_gemma":0.00010771452,"teacher_disagreement_score":0.3779321,"about_ca_system_score_codex":0.00010385819,"about_ca_system_score_gemma":0.00024130743,"threshold_uncertainty_score":0.55049336},"labels":[],"label_agreement":null},{"id":"W2151262405","doi":"10.1109/jsac.2008.080216","title":"A framework for designing mimo systems with decision feedback equalization or tomlinson-harashima precoding","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Computer science; Transceiver; Optimal design; MIMO; Mathematical optimization; Convex optimization; Equalization (audio); Control theory (sociology); Mathematics; Algorithm; Regular polygon; Wireless; Decoding methods; Beamforming; Telecommunications","score_opus":0.0727152185128544,"score_gpt":0.320235052790326,"score_spread":0.2475198342774716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151262405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020138178,0.0007443221,0.9773651,0.000061463514,0.0004050053,0.00078051107,0.000012681918,0.00025577773,0.00023700061],"genre_scores_gemma":[0.65923214,0.0015865589,0.33871335,0.000020174653,0.00013154357,0.00017050914,0.00002561279,0.000080118894,0.000039988143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982324,0.0002084845,0.0007636938,0.00019509872,0.00024762322,0.00035269232],"domain_scores_gemma":[0.996253,0.0019992613,0.00029413195,0.00076606916,0.00056356716,0.0001239859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038622774,0.00025036855,0.0003505411,0.00044059023,0.0005959233,0.00012051822,0.00060794683,0.00018857932,0.0000074429677],"category_scores_gemma":[0.0006956591,0.00021659909,0.00004875243,0.0013195716,0.000044056047,0.00047821173,0.00002284135,0.00066133024,0.000008711575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019468681,0.00009220336,0.0009382619,0.000043509066,0.00005739919,0.00000659909,0.0008390979,0.9943825,0.00091261737,0.0008322956,0.00044170424,0.0012591372],"study_design_scores_gemma":[0.0024362726,0.00044274694,0.00094990723,0.0047266865,0.000057165966,0.0010141527,0.0005226477,0.98402166,0.0022817962,0.0011461801,0.0016594784,0.00074128923],"about_ca_topic_score_codex":0.000005890163,"about_ca_topic_score_gemma":0.00008066765,"teacher_disagreement_score":0.639094,"about_ca_system_score_codex":0.000541411,"about_ca_system_score_gemma":0.00017766126,"threshold_uncertainty_score":0.8832655},"labels":[],"label_agreement":null},{"id":"W2151430944","doi":"10.1109/jsac.2012.121109","title":"Distributed Robust Scheduling and Power Control For Cognitive Spatial-Reuse TDMA Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Time division multiple access; Quality of service; Cognitive radio; Power control; Scheduling (production processes); Computer network; Wireless ad hoc network; Distributed computing; Mathematical optimization; Telecommunications link; Wireless; Power (physics); Telecommunications; Mathematics","score_opus":0.051169342244062964,"score_gpt":0.30629756983110895,"score_spread":0.255128227587046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151430944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01840432,0.0036000288,0.9724768,0.0044465517,0.00028869484,0.00044757113,0.000019318635,0.000082365485,0.00023438537],"genre_scores_gemma":[0.9746073,0.0029062429,0.021499394,0.00073184853,0.00012954531,0.00006238958,0.000033120203,0.000018716206,0.0000114607265],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978976,0.0007660241,0.0005081577,0.00019403316,0.00016238022,0.00047179047],"domain_scores_gemma":[0.99480754,0.0024684633,0.00029722706,0.0013667698,0.0008126707,0.0002473547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010844363,0.00020537247,0.00027934302,0.00022187579,0.00093362265,0.0002923917,0.0019795534,0.00010961322,0.000010143704],"category_scores_gemma":[0.0011365698,0.00019648766,0.000069765214,0.0008702178,0.00011508243,0.00061493344,0.00036069762,0.00096195686,0.000005068912],"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":[0.0015563518,0.010952348,0.1780236,0.000058519483,0.0020666388,0.000024989433,0.024400441,0.16017166,0.0039096624,0.2258438,0.014247261,0.37874472],"study_design_scores_gemma":[0.0036346884,0.00025117112,0.055523477,0.00044144582,0.000053165888,0.00013034778,0.00016980896,0.934548,0.0001371073,0.00059410004,0.003996846,0.0005198306],"about_ca_topic_score_codex":0.0000051884012,"about_ca_topic_score_gemma":0.00008810663,"teacher_disagreement_score":0.956203,"about_ca_system_score_codex":0.00014981031,"about_ca_system_score_gemma":0.000115428404,"threshold_uncertainty_score":0.8012534},"labels":[],"label_agreement":null},{"id":"W2151922086","doi":"10.1109/jsac.2009.090508","title":"Bridging between ieee 802.15.4 and IEEE 802.11b networks for multiparameter healthcare sensing","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer network; IEEE 802.15; Bridging (networking); Network packet; IEEE 802; IEEE 802.11; Wireless sensor network; Wireless network; Wireless; Telecommunications; Quality of service","score_opus":0.06139601685089435,"score_gpt":0.34232442747802133,"score_spread":0.280928410627127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151922086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0642912,0.00075931766,0.9159923,0.014533557,0.0005295882,0.0035353224,0.000013302376,0.00020588901,0.00013947781],"genre_scores_gemma":[0.9320768,0.00048061283,0.065094985,0.0014678456,0.00067860034,0.00013828318,0.00001111023,0.00002922644,0.000022508413],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969661,0.0007228392,0.0008478424,0.0004200665,0.00030828812,0.0007348603],"domain_scores_gemma":[0.9956601,0.0015325724,0.00048085637,0.0014930917,0.0005075799,0.00032574954],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010724744,0.0003180481,0.0005077523,0.00035057392,0.0010876409,0.0005934873,0.0016853412,0.00023387356,0.0000011226987],"category_scores_gemma":[0.000108826964,0.0003109404,0.00012724899,0.0011109154,0.000088862595,0.00052037963,0.00009310577,0.0016349873,0.000003089207],"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":[0.00012948731,0.0003510952,0.005812844,0.00003487592,0.00012674188,0.000027163565,0.0015084554,0.042801496,0.0007015975,0.0016673361,0.0067433347,0.94009554],"study_design_scores_gemma":[0.0016427557,0.00061207096,0.023716742,0.0009781533,0.000029871622,0.0002474443,0.000022364165,0.96447706,0.000486443,0.003958225,0.0032310407,0.0005978098],"about_ca_topic_score_codex":0.00004916284,"about_ca_topic_score_gemma":0.0001789976,"teacher_disagreement_score":0.93949777,"about_ca_system_score_codex":0.00020991369,"about_ca_system_score_gemma":0.00019759165,"threshold_uncertainty_score":0.99993426},"labels":[],"label_agreement":null},{"id":"W2151953578","doi":"10.1109/jsac.2008.081006","title":"Grassmannian beamforming for MIMO amplify-and-forward relaying","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":204,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Relay; Beamforming; Transmitter; Codebook; MIMO; Computer science; Grassmannian; Rayleigh fading; Relay channel; Topology (electrical circuits); Channel (broadcasting); Decoding methods; Control theory (sociology); Algorithm; Mathematics; Telecommunications; Fading; Physics; Power (physics)","score_opus":0.0851291242515848,"score_gpt":0.32340873612711685,"score_spread":0.23827961187553204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151953578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11976713,0.003827278,0.8481763,0.020285042,0.0006021878,0.0009529183,0.000008947065,0.00036135022,0.0060188416],"genre_scores_gemma":[0.88283044,0.011320482,0.10480573,0.0007317366,0.00007149917,0.00007341118,0.000009183967,0.000018646977,0.00013888945],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833417,0.0003621408,0.0005362111,0.00022464085,0.00020370632,0.0003391258],"domain_scores_gemma":[0.99657494,0.0010898259,0.00024508368,0.0014910013,0.0004361399,0.0001629815],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000712026,0.00017680388,0.00024358723,0.00039371892,0.0018575839,0.00017445761,0.0023538696,0.00008890724,0.000003981146],"category_scores_gemma":[0.00034949818,0.00017165043,0.00007350337,0.0010382211,0.00011934148,0.0005431384,0.00032004243,0.00097384944,0.00000702185],"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":[0.000245261,0.0026932242,0.03234098,0.000061027906,0.000520063,0.00006718557,0.03180525,0.00784276,0.015241597,0.41987947,0.031435784,0.4578674],"study_design_scores_gemma":[0.0055344007,0.0009356324,0.04643867,0.0010647447,0.000057040168,0.0030684401,0.0004175986,0.51175404,0.0015051903,0.012562681,0.41482216,0.0018393783],"about_ca_topic_score_codex":0.000005623141,"about_ca_topic_score_gemma":0.00010782439,"teacher_disagreement_score":0.7630633,"about_ca_system_score_codex":0.00017394009,"about_ca_system_score_gemma":0.000200684,"threshold_uncertainty_score":0.99944186},"labels":[],"label_agreement":null},{"id":"W2152683746","doi":"10.1109/jsac.2005.845634","title":"Hop count optimal position-based packet routing algorithms for ad hoc wireless networks with a realistic physical Layer","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Destination-Sequenced Distance Vector routing; Wireless ad hoc network; Algorithm; Packet forwarding; Distance-vector routing protocol; Network packet; Dynamic Source Routing; Routing protocol; Wireless; Telecommunications","score_opus":0.028573412772905905,"score_gpt":0.29935406266511017,"score_spread":0.27078064989220424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152683746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04678576,0.00025126862,0.9466794,0.0051463866,0.00014798774,0.00057933433,0.000021845783,0.00015052469,0.00023747295],"genre_scores_gemma":[0.83415014,0.0001420683,0.164219,0.000783158,0.00041721636,0.00018034539,0.000052464256,0.000038960545,0.000016637427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972651,0.0005446911,0.0006574798,0.00040159514,0.00050268066,0.00062845874],"domain_scores_gemma":[0.99459875,0.0019619018,0.00052454753,0.0018378916,0.00084681023,0.00023009343],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008014291,0.00031030472,0.0004184146,0.00021090375,0.0007491383,0.00045293916,0.0024556615,0.00013365292,0.0000053248177],"category_scores_gemma":[0.00008493638,0.0002709025,0.00012853228,0.0013142338,0.0001290384,0.0004545442,0.00011734965,0.0013627876,0.000007988173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021914461,0.001391593,0.00029531555,0.0000068209274,0.00010779967,0.000023488965,0.0007817633,0.9331604,0.00021544447,0.008968291,0.0028913193,0.05193859],"study_design_scores_gemma":[0.0014038027,0.0004716692,0.0011487192,0.00029626995,0.000034876233,0.00015343228,0.000026893407,0.99465764,0.000116702075,0.00025159505,0.0011062128,0.00033217142],"about_ca_topic_score_codex":0.000012623781,"about_ca_topic_score_gemma":0.00029017945,"teacher_disagreement_score":0.78736436,"about_ca_system_score_codex":0.0005551279,"about_ca_system_score_gemma":0.00046770403,"threshold_uncertainty_score":0.9999743},"labels":[],"label_agreement":null},{"id":"W2152699740","doi":"10.1109/jsac.2006.879383","title":"Multiuser margin optimization in digital subscriber line (DSL) channels","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Ericsson (Canada)","funders":"","keywords":"Digital subscriber line; Computer science; Margin (machine learning); Mathematical optimization; Optimization problem; Convergence (economics); Algorithm; Computer network; Mathematics","score_opus":0.020241330851360186,"score_gpt":0.25245837444979335,"score_spread":0.23221704359843318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152699740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92318267,0.004853142,0.040414292,0.0032298495,0.0009886543,0.00089061895,0.000107537875,0.000673244,0.02566001],"genre_scores_gemma":[0.99044913,0.0018993936,0.007044987,0.00004957081,0.00011311945,0.000047880494,0.00016548416,0.000052923115,0.00017753446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857044,0.00011726465,0.0006873133,0.00012786408,0.0001735128,0.00032358905],"domain_scores_gemma":[0.99810654,0.00029869226,0.00010474516,0.0011649801,0.0002433845,0.00008167838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026265666,0.00020697601,0.00023178919,0.00064861623,0.00016749126,0.00017933686,0.0010076461,0.00012352095,0.00003911799],"category_scores_gemma":[0.000117559204,0.0002172889,0.00006181099,0.001379791,0.000055304026,0.00048793576,0.00007326742,0.0010354208,0.00003050478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016055496,0.0004971737,0.0031433117,0.000004553694,0.000016332007,0.000005815275,0.00013974226,0.9929568,0.0003860628,0.00035080125,0.0014733876,0.0010099718],"study_design_scores_gemma":[0.0013321188,0.000047863603,0.011049867,0.00024547888,0.000011687973,0.000065819404,0.000047909416,0.97535723,0.0005196881,0.00074081693,0.010191919,0.0003896127],"about_ca_topic_score_codex":0.000049661125,"about_ca_topic_score_gemma":0.0005626503,"teacher_disagreement_score":0.06726646,"about_ca_system_score_codex":0.000303956,"about_ca_system_score_gemma":0.00005935159,"threshold_uncertainty_score":0.8860785},"labels":[],"label_agreement":null},{"id":"W2153797310","doi":"10.1109/jsac.2007.070110","title":"Adaptive energy conserving algorithms for neighbor discovery in opportunistic Bluetooth networks","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Computer science; Bluetooth; Neighbor Discovery Protocol; Wireless ad hoc network; Mobile ad hoc network; Energy consumption; Computer network; Context (archaeology); Node (physics); Distributed computing; Algorithm; Wireless; Telecommunications; The Internet; Network packet","score_opus":0.05909783989474746,"score_gpt":0.3057080406750793,"score_spread":0.24661020078033183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153797310","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033549604,0.001242219,0.990209,0.0031048423,0.00028835473,0.00026303364,0.000010139146,0.00019773722,0.0013297563],"genre_scores_gemma":[0.9340979,0.002566598,0.06236104,0.00071143353,0.0000632499,0.0000836843,0.000020118352,0.000024132789,0.000071885595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975873,0.00034161977,0.00090117205,0.0003062675,0.00025198507,0.00061165704],"domain_scores_gemma":[0.99366397,0.002935959,0.00047935048,0.0023625975,0.00040939945,0.00014873141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013098017,0.0002470496,0.0003553241,0.00084888766,0.00048899866,0.0003164286,0.0048873746,0.00022099364,0.0000020928435],"category_scores_gemma":[0.0004422285,0.00024260554,0.00009802761,0.0020346637,0.00019928666,0.00080619566,0.00046707047,0.0011914948,0.000001675709],"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":[0.00018955603,0.0012654605,0.0036640347,0.000009281462,0.00009221002,0.000054424057,0.00061979535,0.0063995486,0.0004192715,0.73266315,0.001622077,0.25300118],"study_design_scores_gemma":[0.0023672911,0.00054948067,0.017362168,0.0005968456,0.000021016223,0.00020106198,0.00064965064,0.92998904,0.0011332511,0.03722833,0.009065381,0.00083647267],"about_ca_topic_score_codex":0.000105375126,"about_ca_topic_score_gemma":0.0019331273,"teacher_disagreement_score":0.9307429,"about_ca_system_score_codex":0.00037089363,"about_ca_system_score_gemma":0.00040836853,"threshold_uncertainty_score":0.9893167},"labels":[],"label_agreement":null},{"id":"W2154364344","doi":"10.1109/jsac.2010.100916","title":"Utility-based asynchronous flow control algorithm for wireless sensor networks","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Asynchronous communication; Wireless sensor network; Convergence (economics); Throughput; Algorithm; Distributed algorithm; Wireless; Distributed computing; Wireless network; Constraint (computer-aided design); Mathematical optimization; Computer network; Telecommunications","score_opus":0.015537107425479322,"score_gpt":0.26301676662973994,"score_spread":0.24747965920426063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154364344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012028644,0.00014333075,0.98276025,0.002509607,0.0014717163,0.00049613806,0.000021676075,0.00023932934,0.00032930213],"genre_scores_gemma":[0.68203634,0.000075741686,0.3167468,0.00066887756,0.00032016428,0.000070136666,0.000023622739,0.00003596215,0.000022347556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969009,0.0006625448,0.0007962491,0.0004530998,0.00041722856,0.00076996663],"domain_scores_gemma":[0.99278176,0.002810213,0.00044145298,0.0026943337,0.0009681564,0.00030406466],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010289369,0.00034259027,0.00045412435,0.00041614674,0.00088585407,0.00038517252,0.0036734142,0.00032082782,0.000013217128],"category_scores_gemma":[0.00020326127,0.0003351171,0.00020050755,0.0013767566,0.0002132854,0.0002768669,0.00010905043,0.0025212697,0.000009138423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007316651,0.0015039071,0.001214394,0.000006465386,0.000100910715,0.00002715735,0.00015187959,0.7136911,0.0013507274,0.003882409,0.001248664,0.2767492],"study_design_scores_gemma":[0.0020515132,0.00015603691,0.0012535454,0.00008333949,0.000020115389,0.00011249898,0.000008000166,0.99162936,0.0005489835,0.0001649279,0.003626642,0.0003450177],"about_ca_topic_score_codex":0.000017574033,"about_ca_topic_score_gemma":0.00042972388,"teacher_disagreement_score":0.6700077,"about_ca_system_score_codex":0.00014167154,"about_ca_system_score_gemma":0.00044803854,"threshold_uncertainty_score":0.99991006},"labels":[],"label_agreement":null},{"id":"W2154853003","doi":"10.1109/jsac.2007.070609","title":"Physical-Layer p-Cycles Adapted for Router-Level Node Protection: A Multi-Layer Design and Operation Strategy","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer network; Spare part; Computer science; Router; Multiprotocol Label Switching; Node (physics); Quality of service; Engineering","score_opus":0.13580801002464082,"score_gpt":0.3354821410598711,"score_spread":0.1996741310352303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154853003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08529387,0.00028359215,0.91287565,0.00038219025,0.000074651725,0.0006593626,0.000008987041,0.0003151174,0.00010656731],"genre_scores_gemma":[0.71946055,0.00033198376,0.27995235,0.000026812475,0.00006671472,0.00011044287,0.000004957103,0.00003266342,0.000013542628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989196,0.00008372907,0.00038728333,0.00015412812,0.00012671475,0.00032853786],"domain_scores_gemma":[0.9985686,0.00055289204,0.00008072238,0.00049330894,0.00022345208,0.000081022874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032128478,0.00019719804,0.00021633794,0.00022521912,0.0003079601,0.00008704472,0.00040797744,0.00015066762,0.0000022886031],"category_scores_gemma":[0.00017657723,0.00018681752,0.000040243736,0.0005067899,0.00008242563,0.00028060272,0.000036158657,0.0008920089,0.000004258364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014825062,0.00043501623,0.00009619901,0.000018669534,0.00009988976,0.0000055829364,0.00032364702,0.81810415,0.08497747,0.0020084542,0.00019822027,0.09358448],"study_design_scores_gemma":[0.0010914155,0.00020925282,0.005431051,0.00012243427,0.00002215549,0.00006327749,0.00012903276,0.9758097,0.014152438,0.002165937,0.00050895376,0.00029438306],"about_ca_topic_score_codex":0.0000036153738,"about_ca_topic_score_gemma":0.00016436353,"teacher_disagreement_score":0.63416666,"about_ca_system_score_codex":0.00020662526,"about_ca_system_score_gemma":0.000034462093,"threshold_uncertainty_score":0.7618197},"labels":[],"label_agreement":null},{"id":"W2155174176","doi":"10.1109/jsac.2010.101202","title":"Multi-Cell MIMO Cooperative Networks: A New Look at Interference","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1826,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; MIMO; Base station; 3G MIMO; Scalability; Exploit; Multi-user MIMO; Interference (communication); Distributed computing; Coding (social sciences); Limiting; Wireless; Key (lock); Telecommunications; Computer network; Computer engineering; Beamforming; Computer security; Channel (broadcasting); Engineering","score_opus":0.05416347955178205,"score_gpt":0.31138571373785895,"score_spread":0.2572222341860769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155174176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.073881805,0.0043557975,0.89191264,0.0153795155,0.002128967,0.00092809024,0.0000064650603,0.00045681733,0.010949917],"genre_scores_gemma":[0.9381525,0.00499432,0.054222148,0.0009877525,0.00013852077,0.000032017266,0.0000106981315,0.000023115177,0.0014389171],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974983,0.00082013797,0.00066428847,0.00034564245,0.00023722739,0.00043443148],"domain_scores_gemma":[0.99478096,0.0009121278,0.0003331001,0.0028921755,0.00074418756,0.00033742655],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006365591,0.00028271438,0.00030234232,0.00033980282,0.0010153344,0.0004398938,0.005441857,0.00014945974,0.000114422844],"category_scores_gemma":[0.00032759595,0.0002621402,0.000090619644,0.0017234412,0.0001649986,0.0005594423,0.000979519,0.002806224,0.00012574415],"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":[0.00049545185,0.012142081,0.027578672,0.000027990149,0.0005309355,0.00013968874,0.02799222,0.05962831,0.28680333,0.08930136,0.15583265,0.3395273],"study_design_scores_gemma":[0.0028359045,0.00031104792,0.009107274,0.00029555015,0.000017501041,0.00030333654,0.000077501754,0.94280267,0.0036143884,0.00028217878,0.039579093,0.0007735798],"about_ca_topic_score_codex":0.000016980981,"about_ca_topic_score_gemma":0.0038158924,"teacher_disagreement_score":0.88317436,"about_ca_system_score_codex":0.00025321875,"about_ca_system_score_gemma":0.0005065497,"threshold_uncertainty_score":0.9999831},"labels":[],"label_agreement":null},{"id":"W2155525056","doi":"10.1109/49.995519","title":"Use of cell-site diversity in millimeter-wave fixed cellular systems to combat the effects of rain attenuation","year":2002,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Attenuation; Radar; Context (archaeology); Computer science; Extremely high frequency; Diversity scheme; Antenna diversity; Telecommunications; Physics; Remote sensing; Fading; Geology; Optics","score_opus":0.0873178313130846,"score_gpt":0.2358966764126971,"score_spread":0.1485788450996125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155525056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978808,0.00073403463,0.00040509112,0.00038334154,0.00012019361,0.00024130821,0.000023964632,0.000005657854,0.00020559008],"genre_scores_gemma":[0.9986044,0.000686494,0.0005291312,0.00006720622,0.000014733622,0.0000017637418,0.000030014166,0.0000024250853,0.00006381227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979508,0.0010311293,0.00042199195,0.0000934955,0.0003604992,0.00014206828],"domain_scores_gemma":[0.9974629,0.0014863547,0.0002984493,0.00045071013,0.00023717138,0.00006438214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006392975,0.00009125856,0.00020765049,0.0004007319,0.000248698,0.000042005584,0.00047390128,0.000046294783,0.000057231096],"category_scores_gemma":[0.0003270705,0.00007055018,0.000064095766,0.0011884742,0.0000511402,0.00017389921,0.000030184605,0.0003010493,0.00001732041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038158552,0.00026053563,0.9461494,0.000032475236,0.000062654646,0.0000045591196,0.0037014803,0.024679767,0.021947702,0.000009676303,0.0009146281,0.0021989418],"study_design_scores_gemma":[0.0006165234,0.00022265445,0.90918136,0.00030173044,0.00007324287,0.000003705477,0.00018641804,0.08437169,0.004709197,0.000042433283,0.0001479456,0.00014310931],"about_ca_topic_score_codex":0.0013874238,"about_ca_topic_score_gemma":0.0031974763,"teacher_disagreement_score":0.05969193,"about_ca_system_score_codex":0.00002609675,"about_ca_system_score_gemma":0.000018812203,"threshold_uncertainty_score":0.2876953},"labels":[],"label_agreement":null},{"id":"W2155896481","doi":"10.1109/jsac.2006.1613775","title":"Separating resource reservations from service requests to improve the performance of optical burst-switching networks","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network 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":"University of Toronto","funders":"","keywords":"Header; Computer science; Optical burst switching; Offset (computer science); Computer network; Scheduling (production processes); Reservation; Quality of service; Wavelength; Wavelength-division multiplexing; Materials science; Optical performance monitoring; Optoelectronics","score_opus":0.016785152387515462,"score_gpt":0.2638339924113971,"score_spread":0.24704884002388164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155896481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717208,0.000523119,0.021530325,0.0033261804,0.00012345285,0.0002700384,0.000008354113,0.00024998863,0.0022477417],"genre_scores_gemma":[0.94591886,0.0002579657,0.053361658,0.00017730567,0.00017070108,0.00004603652,0.00001655062,0.000036026566,0.000014900701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998458,0.000120877885,0.00068252045,0.000145392,0.00023275553,0.000360399],"domain_scores_gemma":[0.99682254,0.0014290619,0.00014266818,0.0012529073,0.0002871464,0.000065663844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036709488,0.00018176838,0.00023656354,0.00016231612,0.00037181718,0.00007031973,0.0014104638,0.00014673865,0.0000036785689],"category_scores_gemma":[0.0002782097,0.00015221591,0.000041517946,0.0016645287,0.000068597335,0.00021384869,0.00015674047,0.0017489953,0.0000070161386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002020291,0.00006744839,0.0015509429,0.0000049344208,0.00002351004,0.0000013300992,0.00010835971,0.9855991,0.007424627,0.0014189737,0.0005367807,0.0032437714],"study_design_scores_gemma":[0.000274298,0.00009592086,0.023294412,0.00040046408,0.000022386974,0.000015847781,0.00013431137,0.9701088,0.0018395312,0.001526977,0.0020517309,0.00023533958],"about_ca_topic_score_codex":0.000064645894,"about_ca_topic_score_gemma":0.0007755998,"teacher_disagreement_score":0.03183133,"about_ca_system_score_codex":0.00020857228,"about_ca_system_score_gemma":0.000036120415,"threshold_uncertainty_score":0.7598611},"labels":[],"label_agreement":null},{"id":"W2156260722","doi":"10.1109/jsac.2007.071205","title":"R2: Random Push with Random Network Coding in Live Peer-to-Peer Streaming","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":286,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Upload; Linear network coding; Testbed; Computer network; Server; Peer-to-peer; Multicast; BitTorrent; World Wide Web; Network packet","score_opus":0.03754363206759547,"score_gpt":0.3099601509320104,"score_spread":0.2724165188644149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156260722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14963631,0.0022947686,0.8025865,0.025497193,0.0010421844,0.0016530505,0.0000054761595,0.0003527469,0.016931761],"genre_scores_gemma":[0.95083445,0.0016258551,0.04604372,0.0009172978,0.00020838309,0.00004492649,0.000011709069,0.000028017754,0.00028566484],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962128,0.0011152183,0.0009221036,0.0003430236,0.00070689176,0.00069997],"domain_scores_gemma":[0.99206895,0.0032405243,0.00035043305,0.002010276,0.0020436367,0.0002861602],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004663292,0.00029216264,0.00046851297,0.00071774947,0.00090618624,0.00043162343,0.003508864,0.00011218745,0.000022386372],"category_scores_gemma":[0.0013632311,0.00026098837,0.00008118727,0.0038494715,0.00009671128,0.00052983896,0.0004318384,0.0018905756,0.000032826043],"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":[0.0058302986,0.0048474763,0.11992697,0.000036478315,0.000732387,0.00046305443,0.05237641,0.22815314,0.003919975,0.079084754,0.046249613,0.45837945],"study_design_scores_gemma":[0.05799516,0.0019606948,0.31149858,0.007961773,0.00013363057,0.001130716,0.0026374399,0.4260962,0.0022143135,0.0045801327,0.17958808,0.0042032553],"about_ca_topic_score_codex":0.000033934724,"about_ca_topic_score_gemma":0.0052658347,"teacher_disagreement_score":0.8011981,"about_ca_system_score_codex":0.0004752456,"about_ca_system_score_gemma":0.00029237807,"threshold_uncertainty_score":0.9999842},"labels":[],"label_agreement":null},{"id":"W2156544663","doi":"10.1109/49.848249","title":"Optimal mode selection and synchronization for robust video communications over error-prone networks","year":2000,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Encoder; Synchronization (alternating current); Channel (broadcasting); Bit error rate; Real-time computing; Coding (social sciences); Decoding methods; Algorithm; Computer network","score_opus":0.04229689627875186,"score_gpt":0.307780707519767,"score_spread":0.2654838112410151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156544663","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053978458,0.0015796301,0.93538797,0.0072424035,0.00014326176,0.00049836596,0.0000071549703,0.0005123162,0.0006504373],"genre_scores_gemma":[0.84323204,0.0045998953,0.15164982,0.00018283173,0.000049376627,0.00013342874,0.000017606257,0.000020067899,0.000114953604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825734,0.0003658815,0.00052561576,0.0002944333,0.0002088719,0.00034785687],"domain_scores_gemma":[0.9967021,0.0006584905,0.00024288073,0.0019328524,0.00036358341,0.000100129284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043111024,0.00020311581,0.00024032543,0.00036552682,0.0012470888,0.00034849608,0.0028558057,0.00018835033,0.000016734806],"category_scores_gemma":[0.00017028568,0.00019931131,0.000061440696,0.0013453471,0.0001421325,0.000627495,0.0002777388,0.0010028596,0.000005039413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007742036,0.00062522484,0.001439596,0.000010291114,0.00007490871,0.0000014173509,0.00055323786,0.74836624,0.0004996057,0.01267016,0.0048029707,0.2308789],"study_design_scores_gemma":[0.00063598104,0.00016861725,0.0023563234,0.00017242666,0.000015981677,0.00009753534,0.000030203775,0.9907205,0.00018312884,0.0020221781,0.0033756124,0.00022149704],"about_ca_topic_score_codex":0.000035367935,"about_ca_topic_score_gemma":0.00020307925,"teacher_disagreement_score":0.78925353,"about_ca_system_score_codex":0.00022174799,"about_ca_system_score_gemma":0.00014423179,"threshold_uncertainty_score":0.9591724},"labels":[],"label_agreement":null},{"id":"W2157007424","doi":"10.1109/jsac.2012.121203","title":"Local Public Good Provisioning in Networks: A Nash Implementation Mechanism","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Nash equilibrium; Computer science; Resource allocation; Game theory; Resource management (computing); Provisioning; Computer network; Distributed computing; Microeconomics; Economics","score_opus":0.12701392583292104,"score_gpt":0.4250878217861445,"score_spread":0.2980738959532235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157007424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39985487,0.0007134301,0.5769986,0.013939152,0.00092983874,0.0010821851,0.000021263113,0.00014371861,0.0063169356],"genre_scores_gemma":[0.99650586,0.00020311069,0.0024770896,0.000381069,0.00014967693,0.00012792804,0.000019834533,0.000018975667,0.00011647615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956739,0.0016172619,0.0012165211,0.0002454761,0.00072028,0.0005265811],"domain_scores_gemma":[0.99534506,0.0020320325,0.000603193,0.0012439133,0.00052184844,0.00025396553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056941044,0.00017275638,0.00025813555,0.0009271503,0.00078939024,0.00033367838,0.0017511772,0.00012298572,0.0003464459],"category_scores_gemma":[0.00088953885,0.00014833492,0.000085700616,0.0037261143,0.00012500517,0.0011204461,0.00016582114,0.001129845,0.00015297468],"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":[0.00007840887,0.0021748422,0.06619894,0.0000022491743,0.00005427784,0.0000037163782,0.003343632,0.0076240487,0.0010562585,0.7138753,0.003884041,0.20170431],"study_design_scores_gemma":[0.005359598,0.0005425423,0.2774933,0.00032604166,0.00006726527,0.0008793691,0.029055743,0.09145361,0.0030499839,0.47929707,0.11091847,0.0015569803],"about_ca_topic_score_codex":0.000024956387,"about_ca_topic_score_gemma":0.00080075755,"teacher_disagreement_score":0.59665096,"about_ca_system_score_codex":0.00036629263,"about_ca_system_score_gemma":0.00022600275,"threshold_uncertainty_score":0.60714316},"labels":[],"label_agreement":null},{"id":"W2157161648","doi":"10.1109/jsac.2004.829642","title":"Topological Design Optimization of a Yottabit-Per-Second Lattice Network","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Defense Advanced Research Projects Agency","keywords":"Computer science; Tabu search; Lattice (music); Agile software development; Topology (electrical circuits); Network planning and design; Enhanced Data Rates for GSM Evolution; Network topology; Algorithm; Theoretical computer science; Computer network; Mathematics; Telecommunications; Combinatorics","score_opus":0.03334551206238005,"score_gpt":0.2723096126520984,"score_spread":0.23896410058971834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157161648","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047255635,0.0020194612,0.94581276,0.0008872886,0.0002299776,0.00031245008,0.0000048147167,0.00047733402,0.0030002617],"genre_scores_gemma":[0.56720334,0.001711362,0.43094906,0.000046020155,0.000043643064,0.000017283723,0.0000036471592,0.000019805593,0.0000058459786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998772,0.00013659701,0.00051503396,0.000109576555,0.0001461512,0.0003206039],"domain_scores_gemma":[0.99828094,0.0006661472,0.00011544854,0.0006859579,0.00018183504,0.000069649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026472216,0.0001599725,0.00025833957,0.00016703561,0.00015783527,0.000027910093,0.000805914,0.00018612616,0.00006365797],"category_scores_gemma":[0.00029111694,0.00015142099,0.000048330443,0.0009997576,0.00017339241,0.00016585096,0.00005663509,0.0010675368,0.000009347109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001911849,0.000107751555,0.00013760822,0.0000043841883,0.000027460092,0.0000036912675,0.000051970714,0.9926875,0.00037401041,0.0055778804,0.00017437793,0.0008342398],"study_design_scores_gemma":[0.0033632477,0.0010412168,0.005935381,0.00091318425,0.00009781331,0.00043958327,0.00027904243,0.86377233,0.005095556,0.115295686,0.0026242565,0.0011427023],"about_ca_topic_score_codex":0.0000014232976,"about_ca_topic_score_gemma":0.000037175847,"teacher_disagreement_score":0.5199477,"about_ca_system_score_codex":0.00025098948,"about_ca_system_score_gemma":0.000054279815,"threshold_uncertainty_score":0.6174769},"labels":[],"label_agreement":null},{"id":"W2157528396","doi":"10.1109/49.963806","title":"A centralized TDMA-based scheme for fair bandwidth allocation in wireless IP networks","year":2001,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Manitoba","funders":"","keywords":"Computer science; Time division multiple access; Computer network; Dynamic bandwidth allocation; Network packet; Burstiness; Bandwidth (computing); Throughput; Statistical time division multiplexing; Real-time computing; Bandwidth allocation; Wireless network; Wireless; Multiplexing; Telecommunications","score_opus":0.02196277399214083,"score_gpt":0.273256167998865,"score_spread":0.2512933940067242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157528396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1305145,0.00076923514,0.86563474,0.0010495386,0.0003726192,0.0008457126,0.000008560992,0.00030485308,0.0005002181],"genre_scores_gemma":[0.96603423,0.003963778,0.029267378,0.00013656766,0.00012927348,0.00021153627,0.00016223182,0.00007475839,0.000020259018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826974,0.00020376827,0.0006800641,0.00017731331,0.0001802778,0.0004888459],"domain_scores_gemma":[0.99814546,0.00056662917,0.00017174242,0.00071131135,0.0002846282,0.00012025108],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034003917,0.00023804356,0.0003034937,0.0004218871,0.00021203051,0.00007370359,0.0006633837,0.00018268256,0.000015007115],"category_scores_gemma":[0.00010444787,0.00026700634,0.00007185183,0.0016747069,0.000048350117,0.00028703222,0.000019271623,0.00088898547,0.0000033363938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011884908,0.0002027879,0.004231535,0.000009573826,0.000023899529,0.0000033077192,0.000074041665,0.987685,0.00058853,0.00037715345,0.0005500262,0.0061352737],"study_design_scores_gemma":[0.0021907089,0.00004814547,0.0047643185,0.00032699815,0.000011942036,0.000019489604,0.000023378538,0.9901803,0.00031195706,0.00026191963,0.0015916051,0.00026922417],"about_ca_topic_score_codex":0.0000078051135,"about_ca_topic_score_gemma":0.00058333913,"teacher_disagreement_score":0.83636737,"about_ca_system_score_codex":0.00061181554,"about_ca_system_score_gemma":0.00010085067,"threshold_uncertainty_score":0.9999782},"labels":[],"label_agreement":null},{"id":"W2157862977","doi":"10.1109/jsac.2009.090408","title":"Configuration management at massive scale: system design and experience","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Precursory Research for Embryonic Science and Technology","keywords":"Computer science; Configuration Management (ITSM); Scripting language; Network management; Service provider; Service (business); Software engineering; World Wide Web; Computer network; Operating system","score_opus":0.028178992410262498,"score_gpt":0.27355276209003065,"score_spread":0.24537376967976815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157862977","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024487616,0.000486129,0.9611174,0.004581177,0.0002938745,0.0010525272,0.0000010245196,0.0002117304,0.007768512],"genre_scores_gemma":[0.9408645,0.000873296,0.057365377,0.0006164121,0.00003260858,0.00009788494,0.0000035665823,0.000008253901,0.00013808931],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790233,0.00064388156,0.00047914262,0.000298929,0.00036984467,0.00030588638],"domain_scores_gemma":[0.99771905,0.00024642915,0.00028447542,0.0014333335,0.00017306652,0.00014364164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054404006,0.00017722363,0.00018230807,0.0003274759,0.00058991695,0.0002946196,0.0017385406,0.000052850977,0.000007633761],"category_scores_gemma":[0.000018221936,0.0001704589,0.00003460413,0.0009765419,0.000059898586,0.0003893857,0.00019805664,0.0003460608,0.000026226686],"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":[0.0003788566,0.0019523298,0.0018015596,0.00010265427,0.0003260438,0.0006940969,0.010272987,0.19215272,0.0073660077,0.36508554,0.038047664,0.38181952],"study_design_scores_gemma":[0.0026578405,0.0008516773,0.03605023,0.0011485538,0.00006661502,0.00048789763,0.0008056173,0.9370478,0.005102851,0.0023458796,0.012510013,0.0009250691],"about_ca_topic_score_codex":0.000003874193,"about_ca_topic_score_gemma":0.000012521658,"teacher_disagreement_score":0.9163769,"about_ca_system_score_codex":0.0007526169,"about_ca_system_score_gemma":0.000048859172,"threshold_uncertainty_score":0.69511116},"labels":[],"label_agreement":null},{"id":"W2158743596","doi":"10.1109/jsac.2007.070105","title":"Outreach: peer-to-peer topology construction towards minimized server bandwidth costs","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Network topology; Computer network; Server; Scalability; Upload; Bandwidth (computing); Overlay; Overlay network; Peer-to-peer; Outreach; Bandwidth allocation; Distributed computing; Multimedia; The Internet; World Wide Web; Operating system","score_opus":0.03574784777431684,"score_gpt":0.32129470986717157,"score_spread":0.28554686209285474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158743596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44736716,0.00034478356,0.3313558,0.19967426,0.0032929396,0.0011237543,0.000027058391,0.0014054102,0.015408835],"genre_scores_gemma":[0.7659661,0.00010423706,0.23157229,0.0016147817,0.00012848941,0.000036089634,0.000013039743,0.000025308618,0.0005396739],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963903,0.00046709203,0.00092013786,0.00046854944,0.0009317162,0.0008222056],"domain_scores_gemma":[0.9938049,0.0008653355,0.00033130567,0.0027128833,0.0019009274,0.0003846754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002413986,0.00033281898,0.0004744219,0.0013922178,0.00053179153,0.00030355316,0.005038937,0.00026932795,0.000023500981],"category_scores_gemma":[0.0018666426,0.00032452203,0.00011564476,0.0036174196,0.00021447071,0.00042335744,0.00069602445,0.0016817885,0.00012274894],"study_design_candidate":"design_other","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":[0.00071242766,0.0020242836,0.027607447,0.000013586418,0.00041839216,0.00032076018,0.0054778806,0.003564975,0.00484007,0.07745913,0.13125607,0.746305],"study_design_scores_gemma":[0.012076482,0.003203563,0.3537198,0.0011352086,0.00017698405,0.008687043,0.0024526962,0.01845915,0.031064091,0.03824411,0.5265601,0.004220779],"about_ca_topic_score_codex":0.00013456553,"about_ca_topic_score_gemma":0.001518453,"teacher_disagreement_score":0.7420842,"about_ca_system_score_codex":0.0009311978,"about_ca_system_score_gemma":0.00035247015,"threshold_uncertainty_score":0.99992067},"labels":[],"label_agreement":null},{"id":"W2159841853","doi":"10.1109/jsac.2014.141124","title":"Core-Selecting Secondary Spectrum Auctions","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Common value auction; Computer science; Combinatorial auction; Mechanism design; Bidding; Collusion; Core (optical fiber); Auction theory; Vickrey–Clarke–Groves auction; Payment; Context (archaeology); Spectrum auction; Revenue; Mathematical optimization; Revenue equivalence; Microeconomics; Economics; Mathematics","score_opus":0.1683251176500577,"score_gpt":0.41165682272686127,"score_spread":0.24333170507680357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159841853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56343836,0.0003980766,0.15409052,0.04441882,0.0024912315,0.00087597425,0.0000579967,0.00051872135,0.23371029],"genre_scores_gemma":[0.99385554,0.00012909686,0.0032950444,0.00064409006,0.00037808725,0.00004322264,0.000010019711,0.000024650035,0.001620248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99624395,0.0011409579,0.0011542698,0.00036439637,0.0007106564,0.00038578434],"domain_scores_gemma":[0.9918758,0.004396976,0.00067273236,0.0021689748,0.0006545681,0.00023093843],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003908977,0.00020086185,0.0003249136,0.0008848622,0.0018161947,0.00036324924,0.0025257291,0.000124935,0.00070831686],"category_scores_gemma":[0.0038638655,0.00017426115,0.00014679613,0.003671914,0.0002518561,0.0004252186,0.00012578594,0.0018355966,0.00072636426],"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":[0.00027051315,0.00315465,0.028632453,0.000007770126,0.00022611045,0.00001057818,0.0035795257,0.018825905,0.011750677,0.560963,0.13821113,0.23436773],"study_design_scores_gemma":[0.0011230432,0.00027353017,0.04561347,0.00009003305,0.000035025307,0.0008342084,0.0010126055,0.016392166,0.0020369098,0.57617104,0.35586312,0.00055485603],"about_ca_topic_score_codex":0.000017545493,"about_ca_topic_score_gemma":0.0002804489,"teacher_disagreement_score":0.43041718,"about_ca_system_score_codex":0.0002070586,"about_ca_system_score_gemma":0.0002751006,"threshold_uncertainty_score":0.9994833},"labels":[],"label_agreement":null},{"id":"W2160192036","doi":"10.1109/jsac.2008.080512","title":"A novel Hα control strategy for design of a robust dynamic routing algorithm in traffic networks","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Robustness (evolution); Scalability; Queueing theory; Routing (electronic design automation); Mathematical optimization; Robust control; Distributed computing; Algorithm; Computer network; Control system; Mathematics; Engineering","score_opus":0.05476329905381612,"score_gpt":0.27783920908673765,"score_spread":0.22307591003292154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160192036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007383276,0.0006820127,0.9902995,0.0007946172,0.00016549409,0.00056557613,0.0000069894554,0.00006651426,0.000036004312],"genre_scores_gemma":[0.86598825,0.0005409085,0.13315573,0.00012940471,0.000056797664,0.000089063404,0.0000047965414,0.00001663716,0.000018413697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977244,0.00050395215,0.0008468965,0.0002471196,0.00023217428,0.00044542388],"domain_scores_gemma":[0.99619055,0.001983266,0.0004403953,0.00081535924,0.00045745814,0.000112963244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009554362,0.0002020877,0.00040738154,0.00037225513,0.00050188985,0.00006411576,0.0018261219,0.00013888377,0.000002095001],"category_scores_gemma":[0.00013857697,0.00020103618,0.00010205881,0.0013463093,0.00010416246,0.0002835599,0.000056174766,0.0009231047,0.0000010624424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005244552,0.00046480753,0.00005116566,0.0000014731395,0.00003549,0.000008810885,0.0002902711,0.8742643,0.0000856747,0.0007578021,0.00006899868,0.12391875],"study_design_scores_gemma":[0.0033279245,0.00023439057,0.0019458028,0.00015037476,0.000013775087,0.00033437705,0.000033602548,0.9936235,0.000003921709,0.000107879474,0.000039244835,0.00018522756],"about_ca_topic_score_codex":0.000013291239,"about_ca_topic_score_gemma":0.0001718738,"teacher_disagreement_score":0.85860497,"about_ca_system_score_codex":0.00020430608,"about_ca_system_score_gemma":0.00052699255,"threshold_uncertainty_score":0.81980175},"labels":[],"label_agreement":null},{"id":"W2161060874","doi":"10.1109/jsac.2012.120207","title":"CORMAN: A Novel Cooperative Opportunistic Routing Scheme in Mobile Ad Hoc Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer network; Computer science; Wireless ad hoc network; Mobile ad hoc network; Routing protocol; Node (physics); Network packet; Optimized Link State Routing Protocol; Distributed computing; Broadcasting (networking); Wireless; Telecommunications","score_opus":0.049739119508639754,"score_gpt":0.30679542447167674,"score_spread":0.257056304963037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161060874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13633786,0.020130394,0.8290146,0.0024003848,0.0022758013,0.0020064535,0.000018664716,0.000440206,0.0073756175],"genre_scores_gemma":[0.96668005,0.0048776995,0.027463593,0.0005097646,0.0001822662,0.00016451346,0.000018832476,0.000028493256,0.000074792],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718386,0.00058449624,0.00084585603,0.00026359354,0.000335306,0.0007869158],"domain_scores_gemma":[0.9961071,0.001043818,0.00041809742,0.0017239084,0.0003876784,0.0003193949],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013595624,0.00026656027,0.00036347748,0.00028857883,0.00046961388,0.00024776158,0.0027678993,0.0001699186,0.000024639523],"category_scores_gemma":[0.00023251033,0.0002638945,0.000068605084,0.0022966391,0.000112596645,0.00095467555,0.00042556916,0.0022561052,0.000028867698],"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":[0.00036051063,0.016817905,0.082704276,0.000039331924,0.0005221946,0.00020283347,0.021766791,0.2793187,0.006714155,0.22134162,0.012577456,0.35763422],"study_design_scores_gemma":[0.0013958919,0.00026212624,0.0147450585,0.00045724478,0.000012947996,0.0004473301,0.00018428455,0.9670244,0.000056673503,0.00013865947,0.0147552425,0.0005201572],"about_ca_topic_score_codex":0.000007186334,"about_ca_topic_score_gemma":0.00022893936,"teacher_disagreement_score":0.8303422,"about_ca_system_score_codex":0.0005075734,"about_ca_system_score_gemma":0.0003484417,"threshold_uncertainty_score":0.99998134},"labels":[],"label_agreement":null},{"id":"W2162906436","doi":"10.1109/jsac.2007.070122","title":"Diverse: application-layer service differentiation in peer-to-peer communications","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Peer-to-peer; Scalability; Upload; Computer network; Multimedia; The Internet; Application layer; Differentiated services; Quality of service; Bandwidth (computing); Service (business); Server; Distributed computing; World Wide Web; Operating system","score_opus":0.050234549141776955,"score_gpt":0.3295456896473329,"score_spread":0.27931114050555594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162906436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20279543,0.00029080786,0.57360405,0.21489319,0.00058328966,0.0015410829,0.000027875441,0.00084558653,0.0054186936],"genre_scores_gemma":[0.89157027,0.00014707804,0.10537215,0.0024309799,0.00006439246,0.00015629373,0.00004735158,0.000029692032,0.00018179721],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9963254,0.0004185285,0.0010449362,0.0004720238,0.0010187023,0.00072045834],"domain_scores_gemma":[0.99015033,0.0012129004,0.000379564,0.005776823,0.0021732328,0.000307122],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.002296743,0.00032018565,0.00036485563,0.001805728,0.00068272825,0.00033472592,0.010757617,0.00024447162,0.000007736118],"category_scores_gemma":[0.0009247114,0.00034141692,0.000074063035,0.007947541,0.0000903406,0.00060355786,0.0013539115,0.0018929136,0.00024491374],"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":[0.00031717692,0.008587003,0.15287213,0.000045684043,0.00036160176,0.0000700751,0.02529399,0.034841716,0.03289535,0.20641565,0.06098466,0.47731495],"study_design_scores_gemma":[0.0024558296,0.00034768498,0.7288331,0.0005415652,0.00004726697,0.00020521476,0.0015327323,0.117988914,0.0033842637,0.014433927,0.1286329,0.0015966342],"about_ca_topic_score_codex":0.00028151477,"about_ca_topic_score_gemma":0.01465951,"teacher_disagreement_score":0.6887748,"about_ca_system_score_codex":0.0009021367,"about_ca_system_score_gemma":0.00021525193,"threshold_uncertainty_score":0.9999038},"labels":[],"label_agreement":null},{"id":"W2163505268","doi":"10.1109/jsacocn.2008.032107","title":"Pseudolinear optical system reach enhancement via runlength-limited coding","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Coding (social sciences); Benchmark (surveying); Keying; Polarization mode dispersion; Transmission (telecommunications); Transmission system; Optical communication; Phase-shift keying; Electronic engineering; Telecommunications; Decoding methods; Bit error rate; Optical fiber; Mathematics; Engineering","score_opus":0.03282729011469974,"score_gpt":0.2568557962429638,"score_spread":0.22402850612826405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163505268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9398299,0.0013741344,0.03709777,0.0013547874,0.0007308669,0.00049266824,0.000007540255,0.0019526316,0.017159725],"genre_scores_gemma":[0.95665985,0.00402534,0.0390239,0.000037796435,0.00012283782,0.00004535741,0.000011486231,0.000048108042,0.00002532312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981812,0.00014682379,0.0007050763,0.00016516409,0.0003190602,0.00048265295],"domain_scores_gemma":[0.99777013,0.0005707619,0.00009577385,0.0011813974,0.00023648962,0.00014547385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003213164,0.00023922193,0.00034054805,0.00037866726,0.00040204675,0.0000521549,0.0011292197,0.00021584997,0.000014127983],"category_scores_gemma":[0.00021145125,0.00023480905,0.00007429849,0.0011596674,0.00016902498,0.00015012662,0.00009823194,0.0018276793,0.000092306735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006791552,0.0070873313,0.015979847,0.0006820199,0.002624543,0.0016015628,0.0046262965,0.3986674,0.24148722,0.16869076,0.051108852,0.10676501],"study_design_scores_gemma":[0.0014959548,0.00035245816,0.006145122,0.0010823999,0.000070096816,0.0023840542,0.00029660598,0.96427953,0.017592747,0.0003309195,0.005091636,0.0008784848],"about_ca_topic_score_codex":0.0000043509604,"about_ca_topic_score_gemma":0.000015218445,"teacher_disagreement_score":0.56561214,"about_ca_system_score_codex":0.0007002125,"about_ca_system_score_gemma":0.00005382376,"threshold_uncertainty_score":0.95752347},"labels":[],"label_agreement":null},{"id":"W2165357407","doi":"10.1109/jsac.2007.070517","title":"Packet prioritization in multihop latency aware scheduling for delay constrained communication","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Network packet; Computer network; Scheduling (production processes); Schedule; Transmission delay; Latency (audio); Wireless network; Transmission (telecommunications); Distributed computing; Wireless; Mathematical optimization; Telecommunications","score_opus":0.03923119684007823,"score_gpt":0.3372392143749134,"score_spread":0.29800801753483513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165357407","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048397746,0.0005211774,0.9420208,0.0040141684,0.00021327006,0.0037651611,0.0000097699785,0.00014640274,0.0009115464],"genre_scores_gemma":[0.8657966,0.000522814,0.13291238,0.00023243329,0.00006499076,0.00040409045,0.000033833014,0.000018516132,0.0000143006355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773294,0.0004767178,0.00088433735,0.0002287822,0.00024050179,0.000436717],"domain_scores_gemma":[0.99568677,0.001713932,0.00040867372,0.0013989937,0.0006636278,0.00012798347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022163547,0.00018342157,0.0002563036,0.0005022301,0.0005323774,0.00022847002,0.002220747,0.00017851213,0.0000043498017],"category_scores_gemma":[0.0003336672,0.00018843004,0.00007060594,0.0016592612,0.00008837851,0.0005637511,0.00013775224,0.0010269347,0.000004593648],"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":[0.00077493466,0.0052632866,0.09159205,0.00014540614,0.00022173836,0.000090875445,0.011434173,0.117202535,0.00612508,0.24448276,0.0020130198,0.52065414],"study_design_scores_gemma":[0.004952404,0.00036142278,0.042301293,0.0016316106,0.000015469794,0.0002091058,0.00028460953,0.92524636,0.0011720269,0.018337606,0.004767074,0.0007210309],"about_ca_topic_score_codex":0.00003266724,"about_ca_topic_score_gemma":0.0011201014,"teacher_disagreement_score":0.8173989,"about_ca_system_score_codex":0.00029433423,"about_ca_system_score_gemma":0.00030200093,"threshold_uncertainty_score":0.7683954},"labels":[],"label_agreement":null},{"id":"W2165651458","doi":"10.1109/jsac.2004.830465","title":"A Multilayer Differentiated Protection Services Architecture","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Ottawa","funders":"","keywords":"Computer science; Computer network; Distributed computing; Scalability; Protocol stack; Network architecture; Differentiated services; Bandwidth (computing); Architecture; Wireless sensor network; Quality of service; Database","score_opus":0.018710790157219156,"score_gpt":0.2534573041915012,"score_spread":0.23474651403428204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165651458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9238797,0.00070799945,0.07055469,0.0017055053,0.00028065883,0.00047531404,0.0000069780144,0.0013833442,0.0010058447],"genre_scores_gemma":[0.9726877,0.0010098616,0.026094815,0.000044770884,0.0000491715,0.00006315798,0.0000075815346,0.000036501293,0.0000064475935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990536,0.00006300715,0.0003254016,0.000115890085,0.00015223007,0.0002898556],"domain_scores_gemma":[0.9989514,0.000093641,0.00006982612,0.00069947896,0.00011720423,0.000068475405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007387915,0.0001800175,0.0001768734,0.00030856222,0.00020356559,0.00005656919,0.0007428331,0.00015678373,0.000007687061],"category_scores_gemma":[0.00005893908,0.00016174461,0.0000460054,0.00094602635,0.000065924454,0.00016411924,0.00005129207,0.0017010741,0.000022287562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003861664,0.0002853163,0.0002502345,0.000027334596,0.00007664786,0.00001024109,0.00039044837,0.95180136,0.021806043,0.00085532625,0.000020400463,0.02443801],"study_design_scores_gemma":[0.013413372,0.0014722554,0.10880965,0.006005295,0.00021731069,0.0018464216,0.0011005809,0.5828767,0.08048993,0.17995924,0.019836294,0.003972943],"about_ca_topic_score_codex":0.000009883021,"about_ca_topic_score_gemma":0.0003881733,"teacher_disagreement_score":0.36892468,"about_ca_system_score_codex":0.00029506683,"about_ca_system_score_gemma":0.00002272202,"threshold_uncertainty_score":0.7390415},"labels":[],"label_agreement":null},{"id":"W2166084780","doi":"10.1109/49.848261","title":"A concealment method for video communications in an error-prone environment","year":2000,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Computer science; Markov random field; Estimator; Maximum a posteriori estimation; Artificial intelligence; Block (permutation group theory); A priori and a posteriori; Computer vision; Motion estimation; Pixel; Motion compensation; Algorithm; Image (mathematics); Maximum likelihood; Mathematics; Image segmentation","score_opus":0.09301962795035137,"score_gpt":0.37349359408240157,"score_spread":0.2804739661320502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166084780","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12959544,0.004530813,0.76870304,0.08753636,0.00037707682,0.00266713,0.000045864137,0.0010999001,0.0054443562],"genre_scores_gemma":[0.6440886,0.0018163698,0.35310924,0.0005153162,0.00001673924,0.0003392114,0.000009490362,0.000014795279,0.00009021534],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973895,0.0009434189,0.00069606525,0.00032272277,0.0002699815,0.00037833693],"domain_scores_gemma":[0.9943196,0.00097264594,0.00024104191,0.0042229136,0.00012357802,0.000120212084],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0010213644,0.00019863827,0.00029462262,0.00043088503,0.0006018296,0.00018928689,0.0063774963,0.00011469565,0.00003136096],"category_scores_gemma":[0.000116911986,0.00018903281,0.000075158016,0.00084688154,0.00014434256,0.00046121023,0.00035785369,0.0010578111,0.000024258257],"study_design_candidate":"design_other","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":[0.00013797315,0.003895725,0.0028956216,0.000012581648,0.00007673847,0.000013226537,0.0035482033,0.019505788,0.0058035846,0.049221344,0.002534067,0.9123551],"study_design_scores_gemma":[0.0032656812,0.0010738373,0.013101815,0.0005728189,0.000027996524,0.000202585,0.0005032505,0.8242153,0.003656107,0.048864104,0.10368519,0.0008313176],"about_ca_topic_score_codex":0.000052111445,"about_ca_topic_score_gemma":0.0002463425,"teacher_disagreement_score":0.9115238,"about_ca_system_score_codex":0.00035342897,"about_ca_system_score_gemma":0.00016224544,"threshold_uncertainty_score":0.99899846},"labels":[],"label_agreement":null},{"id":"W2167258973","doi":"10.1109/jsac.2007.070614","title":"Load-Balancing Data Traffic Among Inter-Domain Links","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Regina","funders":"","keywords":"Computer science; Computer network; The Internet; Internet transit; Internet backbone; Network congestion; Internet traffic engineering; Service (business); Bandwidth (computing); Internet traffic; Network traffic control; Inter-domain; Internet exchange point; World Wide Web; Multicast","score_opus":0.034040660144077355,"score_gpt":0.29568975948427173,"score_spread":0.26164909934019437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167258973","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27967447,0.0010927974,0.706015,0.0068136295,0.0011672301,0.00035178568,0.00000794602,0.0003801136,0.0044970135],"genre_scores_gemma":[0.9767923,0.0003060351,0.02187695,0.0006354286,0.00025943422,0.000007704635,0.000015097873,0.000017712875,0.000089349385],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751365,0.00044237296,0.00074597175,0.0003543786,0.00043964453,0.0005039764],"domain_scores_gemma":[0.9946157,0.0011396852,0.00033114373,0.0032641871,0.0004117746,0.0002375603],"candidate_categories":["open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002638411,0.00020369094,0.0002612009,0.000349677,0.00047048202,0.00030646854,0.0064231185,0.00019192504,0.0000120861705],"category_scores_gemma":[0.0002589362,0.00019527797,0.00006369685,0.0014740493,0.00012164141,0.0006909009,0.000405849,0.0023594226,0.000039877803],"study_design_candidate":"design_other","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":[0.00009525669,0.0010875969,0.008228793,0.000006677538,0.0001566848,0.00015713132,0.002368115,0.009105613,0.00038917435,0.0095770955,0.013269299,0.95555854],"study_design_scores_gemma":[0.0031057098,0.00032088798,0.042208597,0.0007454372,0.000041926756,0.00071142643,0.0003338661,0.8956483,0.000094428826,0.0017329854,0.054192938,0.0008634971],"about_ca_topic_score_codex":0.000015463573,"about_ca_topic_score_gemma":0.0017437211,"teacher_disagreement_score":0.95469505,"about_ca_system_score_codex":0.0003415589,"about_ca_system_score_gemma":0.00042679434,"threshold_uncertainty_score":0.9999422},"labels":[],"label_agreement":null},{"id":"W2167826503","doi":"10.1109/jsac.2008.080817","title":"On the Design of Linear Transceivers for Multiuser Systems with Channel Uncertainty","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Computer science; Mathematical optimization; Channel (broadcasting); Base station; Iterative method; Algorithm; Mathematics; Telecommunications","score_opus":0.054126849778311115,"score_gpt":0.26135292626820034,"score_spread":0.20722607648988922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167826503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019796688,0.00035153696,0.97783816,0.00023396967,0.000178904,0.0011179387,0.000030370358,0.00009800083,0.00035443794],"genre_scores_gemma":[0.9920625,0.0006601065,0.00700653,0.00002126907,0.000037018188,0.00013303052,0.000009364167,0.00003953186,0.0000306278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902403,0.0002143589,0.00036386374,0.000081869104,0.000141663,0.0001742099],"domain_scores_gemma":[0.9976911,0.0011859018,0.0001423928,0.0005686351,0.00036517883,0.000046795485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026325884,0.0001399683,0.00020455956,0.00017723496,0.00029880644,0.000011583873,0.00049034116,0.000067771376,0.00000202836],"category_scores_gemma":[0.00011759794,0.00009889981,0.000039837327,0.0005078379,0.00007146037,0.00009778915,0.000003469435,0.00042610834,0.000002187275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092831775,0.00007519123,0.000027764198,0.000013604756,0.000056758083,0.0000011685528,0.00092964526,0.99717814,0.0009665044,0.0002934337,0.0003335356,0.000031407813],"study_design_scores_gemma":[0.0010169417,0.0002344849,0.00011270263,0.0004105141,0.000018730623,0.00007793184,0.00028240395,0.9961923,0.001254587,0.000064462445,0.0001871162,0.00014785283],"about_ca_topic_score_codex":0.00001550428,"about_ca_topic_score_gemma":0.00003348713,"teacher_disagreement_score":0.97226584,"about_ca_system_score_codex":0.00018152855,"about_ca_system_score_gemma":0.000070578164,"threshold_uncertainty_score":0.40330172},"labels":[],"label_agreement":null},{"id":"W2168898252","doi":"10.1109/jsac.2010.100813","title":"Performance evaluation of UWB signal transmission over optical fiber","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Keying; Electronic engineering; Transmission (telecommunications); Optical fiber; Waveform; Modulation (music); SIGNAL (programming language); Pulse-position modulation; Telecommunications; Pulse-amplitude modulation; Pulse (music); Acoustics; Physics; Engineering","score_opus":0.02345877668219262,"score_gpt":0.28512099513076783,"score_spread":0.26166221844857523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168898252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985363,0.00030702224,0.00055083795,0.00050377444,0.000109544715,0.00020584204,0.0000037727584,0.00012329048,0.012832882],"genre_scores_gemma":[0.98960155,0.00094602746,0.0092903795,0.000017631195,0.000029497907,0.00005028119,0.000014584115,0.0000278696,0.000022155084],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855554,0.00019145252,0.00054985966,0.00009912823,0.0003869167,0.000217097],"domain_scores_gemma":[0.99760735,0.00039519632,0.000107036714,0.0013291597,0.00048210286,0.00007912963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008369753,0.00014731211,0.0001992159,0.00041560867,0.00018460416,0.000024885487,0.0012303223,0.00021474317,0.0003725538],"category_scores_gemma":[0.00012937165,0.00014329536,0.000060115464,0.00081057276,0.0001478616,0.00019345486,0.000034763812,0.0019214565,0.000025516592],"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":[0.000060518647,0.00094018626,0.0050499584,0.000023399327,0.0001356568,0.0000011035141,0.00065919216,0.055287797,0.41037795,0.0014385695,0.0011407762,0.5248849],"study_design_scores_gemma":[0.0021712973,0.0002295289,0.096177414,0.00034256926,0.00015471003,0.00022469433,0.000057412562,0.78461576,0.098002546,0.0014405481,0.01608136,0.00050214573],"about_ca_topic_score_codex":0.000004731134,"about_ca_topic_score_gemma":0.000072079,"teacher_disagreement_score":0.729328,"about_ca_system_score_codex":0.00013872006,"about_ca_system_score_gemma":0.00015570527,"threshold_uncertainty_score":0.83478796},"labels":[],"label_agreement":null},{"id":"W2169825920","doi":"10.1109/jsac.2007.070818","title":"Efficiency of Market-Based Resource Allocation among Many Participants","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Probabilistic logic; Bounded function; Resource allocation; Population; Mathematical optimization; Game theory; Resource (disambiguation); Distributed computing; Computer network; Mathematical economics; Mathematics; Artificial intelligence","score_opus":0.11777898714325213,"score_gpt":0.4035614868064709,"score_spread":0.2857824996632188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169825920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94109523,0.00010902532,0.033819184,0.0019759475,0.000090879985,0.00029072427,0.00000980021,0.000040436742,0.022568764],"genre_scores_gemma":[0.9972719,0.000030142524,0.0020081277,0.00019759548,0.000041821186,0.000021295627,0.0000056101194,0.000015001691,0.00040849627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957937,0.0011003076,0.001471931,0.00026054017,0.0009582694,0.0004152814],"domain_scores_gemma":[0.98956454,0.006335792,0.0008693705,0.0021198515,0.0008924917,0.00021796598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010074439,0.00015571868,0.0002939459,0.0008588981,0.00048322143,0.000108545726,0.0026266528,0.00011183048,0.00020703842],"category_scores_gemma":[0.0039688423,0.00013106082,0.00011109617,0.0034197797,0.00041124836,0.00019186371,0.00008185399,0.0007317371,0.000064288404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027538936,0.017169584,0.48770842,0.00003881346,0.00027222442,0.00005277467,0.010176807,0.055997565,0.08558085,0.12373068,0.03764146,0.17887692],"study_design_scores_gemma":[0.0016464632,0.0003242553,0.8871095,0.00032239335,0.000058334885,0.00004161419,0.0020075045,0.039752856,0.02571179,0.024925902,0.01762582,0.00047352622],"about_ca_topic_score_codex":0.000016307684,"about_ca_topic_score_gemma":0.00026058962,"teacher_disagreement_score":0.3994011,"about_ca_system_score_codex":0.0001317134,"about_ca_system_score_gemma":0.00021768858,"threshold_uncertainty_score":0.53445053},"labels":[],"label_agreement":null},{"id":"W2170667309","doi":"10.1109/jsac.2007.070605","title":"Optical CDMA for All-Optical Sub-Wavelength Switching in Core GMPLS Networks","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Label switching; Multiprotocol Label Switching; Computer science; Optical burst switching; Optical switch; Computer network; Circuit switching; Packet switching; Network packet; Throughput; Granularity; Optical Transport Network; Wavelength-division multiplexing; Topology (electrical circuits); Optical performance monitoring; Electronic engineering; Wavelength; Quality of service; Telecommunications; Optoelectronics; Materials science; Engineering","score_opus":0.037186699507115104,"score_gpt":0.2929329365543196,"score_spread":0.2557462370472045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170667309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92810965,0.0006084309,0.06624329,0.00028739206,0.0005899257,0.0004430298,0.000004906947,0.00015206612,0.0035613275],"genre_scores_gemma":[0.9958386,0.00045370575,0.0032712638,0.0001053162,0.00021157882,0.000040907657,0.000017292994,0.000052812946,0.000008552146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804866,0.0001398017,0.00084708957,0.00015550318,0.00019628032,0.0006126404],"domain_scores_gemma":[0.9969463,0.0018906338,0.00009765833,0.0007044963,0.00015131572,0.00020962273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017695503,0.0002242101,0.00033481402,0.0004380493,0.0002112565,0.00008110512,0.00079449144,0.00023884243,0.000005872674],"category_scores_gemma":[0.00026009482,0.00022486642,0.000109163215,0.00082017464,0.00005843312,0.00015356598,0.000036590653,0.0017949786,0.000008340117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015514141,0.0033423617,0.028062545,0.00021323233,0.0010366737,0.00032095524,0.0060789087,0.39630792,0.0964008,0.30933973,0.004684394,0.15266109],"study_design_scores_gemma":[0.0053504314,0.00058321556,0.07765654,0.0016796532,0.00013239041,0.0013296289,0.0010210602,0.8766669,0.007269822,0.018834045,0.007852478,0.0016238528],"about_ca_topic_score_codex":0.00000516636,"about_ca_topic_score_gemma":0.0005862549,"teacher_disagreement_score":0.48035896,"about_ca_system_score_codex":0.0002840289,"about_ca_system_score_gemma":0.00004595662,"threshold_uncertainty_score":0.91697866},"labels":[],"label_agreement":null},{"id":"W2171456339","doi":"10.1109/jsac.2004.833851","title":"A Lagrangean Relaxation and Subgradient Framework for the Routing and Wavelength Assignment Problem in WDM Networks","year":2004,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"South China University of Technology; University of Waterloo","keywords":"Subgradient method; Routing and wavelength assignment; Computer science; Mathematical optimization; Lagrangian relaxation; Heuristics; Heuristic; Wavelength-division multiplexing; Routing (electronic design automation); Relaxation (psychology); Computation; Algorithm; Computer network; Wavelength; Mathematics","score_opus":0.020336621914493935,"score_gpt":0.2620670664752454,"score_spread":0.2417304445607515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171456339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23783231,0.005912131,0.7476165,0.0068676746,0.00014886541,0.0011066077,0.000004193346,0.00029027244,0.00022142059],"genre_scores_gemma":[0.86729175,0.006934867,0.1255772,0.000042360898,0.0000361405,0.000093398434,0.000002510715,0.000020501408,0.0000012997174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914664,0.00005396114,0.00033097615,0.000108881104,0.00009045807,0.0002690677],"domain_scores_gemma":[0.9981634,0.0012687765,0.00008920049,0.0003774044,0.0000549384,0.00004625536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034897323,0.00012894442,0.00014723984,0.00012117718,0.0002646651,0.000063663676,0.00031365725,0.00013156273,4.9074663e-7],"category_scores_gemma":[0.00028453598,0.00010243237,0.000020319858,0.00052829715,0.00009432142,0.000104900966,0.000050255992,0.001201406,2.8114553e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029453951,0.00010444963,0.0024429208,0.00001239697,0.000043676417,0.000002487349,0.0010005735,0.85543233,0.000080178055,0.058568917,0.00003392511,0.082248695],"study_design_scores_gemma":[0.0014595342,0.00022524549,0.040637936,0.0013412696,0.000035483234,0.00007750682,0.00062430825,0.8107424,0.00008706349,0.1436739,0.0007337611,0.0003616045],"about_ca_topic_score_codex":0.000007474359,"about_ca_topic_score_gemma":0.00033789306,"teacher_disagreement_score":0.62945944,"about_ca_system_score_codex":0.00028454504,"about_ca_system_score_gemma":0.00001644925,"threshold_uncertainty_score":0.5219578},"labels":[],"label_agreement":null},{"id":"W2171612010","doi":"10.1109/jsac.2005.857210","title":"Market-based self-optimization for autonomic service overlay networks","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Selfishness; Computer network; Overlay network; Incentive; Distributed computing; Service (business); Multicast; Overlay; Resource allocation; Service provider; Node (physics); Optimization problem; Microeconomics; The Internet","score_opus":0.0207160599374679,"score_gpt":0.27275900646191137,"score_spread":0.2520429465244435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171612010","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040231138,0.00025335804,0.9439218,0.04892709,0.0003218704,0.0005665518,0.0000065772547,0.0008439638,0.0011356431],"genre_scores_gemma":[0.420143,0.00019030846,0.57638913,0.0029361253,0.00013718475,0.00012002864,0.000012214913,0.000025429961,0.000046556474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980688,0.00028679712,0.0005947625,0.00031379188,0.00023909807,0.00049673393],"domain_scores_gemma":[0.9958053,0.0010227751,0.00032222114,0.0020674416,0.00063316483,0.00014904627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007912013,0.00023103906,0.00025671546,0.0005779872,0.00050283043,0.0003183419,0.0042624515,0.0001866517,0.000015497199],"category_scores_gemma":[0.00021432513,0.00024110782,0.0000786499,0.0023514,0.000032430686,0.0004942673,0.00025261543,0.00083352503,0.000018703464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028337503,0.00028155092,0.00024252951,0.0000027188973,0.000029122275,0.0000010316041,0.00011338088,0.9644899,0.000038171547,0.0013183011,0.01746969,0.015985278],"study_design_scores_gemma":[0.0006847381,0.00011052715,0.0020868771,0.00009474511,0.000012771988,0.000028973798,0.000007612647,0.9649013,0.00013952405,0.0002979555,0.031382535,0.00025242873],"about_ca_topic_score_codex":0.000009667274,"about_ca_topic_score_gemma":0.0003401197,"teacher_disagreement_score":0.4161199,"about_ca_system_score_codex":0.0007496116,"about_ca_system_score_gemma":0.00038215116,"threshold_uncertainty_score":0.98320913},"labels":[],"label_agreement":null},{"id":"W2171722911","doi":"10.1109/49.914513","title":"Performance of a priority-based dynamic capacity allocation scheme for wireless ATM systems","year":2001,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Computer science; Telecommunications link; Computer network; Scheduling (production processes); Real-time computing; Time division multiple access; Queue; Queueing theory; Markov process; Asynchronous Transfer Mode; Markov chain","score_opus":0.05451781948200624,"score_gpt":0.3219360821774601,"score_spread":0.2674182626954539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171722911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7954468,0.00043375412,0.1995466,0.0030675852,0.00021590512,0.00078555173,0.000008289552,0.00010598732,0.00038948347],"genre_scores_gemma":[0.95593446,0.0018541577,0.041816507,0.000063003274,0.000037078884,0.00020264823,0.000022996583,0.00002299291,0.000046122634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99698615,0.0008781125,0.0008704988,0.00025932016,0.0005666549,0.0004392685],"domain_scores_gemma":[0.99307585,0.0014058898,0.0005843091,0.0030798337,0.0017034367,0.00015068855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016357353,0.00020050535,0.00035117698,0.000582299,0.0005863627,0.00019112125,0.004940017,0.00014938366,0.0000024650753],"category_scores_gemma":[0.00023157353,0.00020295287,0.000095911855,0.002349875,0.00018243781,0.00055354985,0.00020463637,0.0010886516,0.000007634691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014226575,0.011978473,0.16051424,0.0008729501,0.00069362216,0.000017611643,0.004556527,0.45923045,0.0887774,0.110577956,0.0022492863,0.15910883],"study_design_scores_gemma":[0.0009094656,0.00022259912,0.0133595485,0.00042023635,0.0000065140157,0.00005749057,0.000023315237,0.98271453,0.0005959222,0.00013742816,0.0013587301,0.00019421715],"about_ca_topic_score_codex":0.000052731033,"about_ca_topic_score_gemma":0.00020728284,"teacher_disagreement_score":0.5234841,"about_ca_system_score_codex":0.00055552693,"about_ca_system_score_gemma":0.0006687485,"threshold_uncertainty_score":0.91798633},"labels":[],"label_agreement":null},{"id":"W2206263511","doi":"10.1109/jsac.2015.2452586","title":"Resource Allocation for Heterogeneous Applications With Device-to-Device Communication Underlaying Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Cellular network; Quality of service; Resource allocation; Cellular traffic; Computer network; Distributed computing; Shared resource; Wireless; Wireless network; Resource management (computing); Heterogeneous network; Resource (disambiguation); Telecommunications","score_opus":0.035679893368485524,"score_gpt":0.27420961577958985,"score_spread":0.23852972241110432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206263511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012124036,0.002011033,0.9816463,0.0010911261,0.0000827419,0.0014133484,0.000008859765,0.0003704257,0.001252157],"genre_scores_gemma":[0.92034286,0.0007945024,0.07715379,0.0002980238,0.0001524094,0.0008296889,0.000278096,0.00012115145,0.000029475927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981354,0.00028304823,0.00065274653,0.00023452139,0.0002757028,0.0004185734],"domain_scores_gemma":[0.9964085,0.00064282044,0.00024265762,0.0016180123,0.0007938704,0.00029414357],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053622446,0.00028227022,0.00029013766,0.00037564684,0.0005115085,0.00014376995,0.0011978096,0.00015965797,0.0000025779573],"category_scores_gemma":[0.00008598556,0.00029909157,0.000050299834,0.0017300487,0.00006737027,0.00028647934,0.00006645489,0.00079938024,0.0000126831665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063691616,0.00011158517,0.00018298585,0.000010830799,0.000051888113,7.5729645e-7,0.0003310076,0.99197346,0.00029597545,0.0005527704,0.000762015,0.005663062],"study_design_scores_gemma":[0.0011534416,0.00016987593,0.00014330429,0.0003144413,0.000060914408,0.00006730865,0.00029106525,0.9578435,0.00080966344,0.00054136827,0.038128395,0.00047674493],"about_ca_topic_score_codex":0.0000072310527,"about_ca_topic_score_gemma":0.00032870885,"teacher_disagreement_score":0.90821886,"about_ca_system_score_codex":0.00075339526,"about_ca_system_score_gemma":0.00012203817,"threshold_uncertainty_score":0.9999461},"labels":[],"label_agreement":null},{"id":"W2226827734","doi":"10.1109/jsac.2016.2544459","title":"Energy Efficiency of Downlink Transmission Strategies for Cloud Radio Access Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":249,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Telecommunications link; Backhaul (telecommunications); C-RAN; Transmitter power output; Base station; Radio access network; Efficient energy use; Computer network; Beamforming; Transmission (telecommunications); User equipment; Energy consumption; Optimization problem; Cellular network; Data transmission; Power optimization; Power (physics); Transmitter; Telecommunications; Algorithm; Mobile station; Power consumption; Electrical engineering","score_opus":0.023397208338869904,"score_gpt":0.2865503854197243,"score_spread":0.2631531770808544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2226827734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039117597,0.0012477279,0.993327,0.0002093312,0.0002974562,0.00017996175,0.00001086007,0.00009435333,0.00072153535],"genre_scores_gemma":[0.98714423,0.004836354,0.007763242,0.000012872764,0.00012247168,0.00004589795,0.000011487502,0.000036154597,0.000027271757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885666,0.00012982609,0.00057287206,0.000102490165,0.00010959348,0.00022858346],"domain_scores_gemma":[0.9983166,0.00059463485,0.00017316484,0.0005477438,0.00029302796,0.00007482542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002152963,0.0001451125,0.00022910231,0.00024919267,0.0001427784,0.000047729867,0.0008377151,0.00011556388,0.000009575003],"category_scores_gemma":[0.000044020708,0.00011104612,0.000063835076,0.0006062401,0.000054874006,0.0003969781,0.000017833574,0.00024554896,5.6788014e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045589702,0.00010570298,0.000078912344,0.000018829855,0.000034139262,6.6245326e-7,0.00015903162,0.9625409,0.011058093,0.0026252698,0.00057503325,0.022757787],"study_design_scores_gemma":[0.002463264,0.00023347301,0.00034267033,0.0014112452,0.000041358995,0.000078396886,0.00010603749,0.9719504,0.01127042,0.004368206,0.0072703,0.0004642347],"about_ca_topic_score_codex":0.0000061057194,"about_ca_topic_score_gemma":0.0000495986,"teacher_disagreement_score":0.98556376,"about_ca_system_score_codex":0.00017289323,"about_ca_system_score_gemma":0.000097713506,"threshold_uncertainty_score":0.45283297},"labels":[],"label_agreement":null},{"id":"W2230831824","doi":"10.1109/jsac.2015.2504299","title":"Fast List Decoders for Polar Codes","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"University of California, San Diego; École Polytechnique Fédérale de Lausanne; University of Illinois at Urbana-Champaign; Centre National de la Recherche Scientifique; Center for Advanced Study, University of Illinois at Urbana-Champaign; David and Lucile Packard Foundation; National Science Foundation","keywords":"Decoding methods; List decoding; Polar code; Sequential decoding; Concatenated error correction code; Low-density parity-check code; Berlekamp–Welch algorithm; Code (set theory)","score_opus":0.0810445107494296,"score_gpt":0.3521803789829451,"score_spread":0.2711358682335155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230831824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027481163,0.00064787996,0.95240784,0.011314727,0.0008559645,0.0005606882,0.000019063773,0.00077265705,0.00594001],"genre_scores_gemma":[0.75315785,0.00014247547,0.24600087,0.00046202925,0.00006868357,0.00005272907,0.000007692927,0.000020614185,0.00008703273],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998278,0.0004131753,0.0004586779,0.0002163427,0.00029485795,0.0003389011],"domain_scores_gemma":[0.9960898,0.00086434954,0.00028084658,0.0016370292,0.0009171032,0.00021083596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011700415,0.00016702843,0.00022101121,0.000438979,0.00039845545,0.0002845904,0.0035427741,0.00009834051,0.000001851476],"category_scores_gemma":[0.0010799868,0.00016503352,0.00007962241,0.0011048912,0.00007812366,0.00047296306,0.00019820225,0.00082800275,0.000011714387],"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":[0.0005686888,0.0070213554,0.07812066,0.000072559444,0.00055350235,0.00010041536,0.03567904,0.010034765,0.018124891,0.19688804,0.4237226,0.2291135],"study_design_scores_gemma":[0.006057782,0.0031730677,0.011315867,0.0014470752,0.000099697485,0.002388598,0.0015843797,0.6392524,0.025083562,0.14614667,0.16080314,0.0026477554],"about_ca_topic_score_codex":0.000112522226,"about_ca_topic_score_gemma":0.001227341,"teacher_disagreement_score":0.7256767,"about_ca_system_score_codex":0.00040511828,"about_ca_system_score_gemma":0.00047276745,"threshold_uncertainty_score":0.67298716},"labels":[],"label_agreement":null},{"id":"W2237949559","doi":"10.1109/jsac.2016.2520244","title":"Energy-Aware Traffic Offloading for Green Heterogeneous Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":150,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Science Foundation","keywords":"Heterogeneous network; Base station; Quality of service; Cellular network; Efficient energy use; Macro; Power control; Cellular traffic","score_opus":0.022921012387597597,"score_gpt":0.24701392906651873,"score_spread":0.22409291667892112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237949559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28443393,0.0048520905,0.7017332,0.0021919808,0.0024856327,0.000530991,0.000062381594,0.0016523555,0.002057472],"genre_scores_gemma":[0.9946999,0.0024515213,0.0019049996,0.00009651401,0.0004647748,0.000101399855,0.000016912181,0.00010337758,0.00016061417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983885,0.00018994787,0.00056783395,0.00017657202,0.00016536607,0.00051177223],"domain_scores_gemma":[0.99721706,0.0013454,0.00013749748,0.00090323534,0.00022558232,0.00017120747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027356,0.0002515154,0.00027960681,0.00027849362,0.00030991246,0.0000668187,0.0010827691,0.00020252165,0.000013919359],"category_scores_gemma":[0.00006006064,0.00021190775,0.00011264658,0.000580285,0.000072691466,0.00016751038,0.00004391869,0.00056590023,0.0000048849342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023603558,0.00007575798,0.00022142589,0.000006874051,0.00009472076,0.000007627136,0.0000520564,0.89729977,0.0009100704,0.00029743102,0.0019835287,0.09902714],"study_design_scores_gemma":[0.0009446999,0.00010997611,0.0002802753,0.0007547667,0.000029554903,0.0002214802,0.000007854611,0.9826008,0.00089715543,0.00033496894,0.013402464,0.0004159884],"about_ca_topic_score_codex":0.00000887302,"about_ca_topic_score_gemma":0.0006254576,"teacher_disagreement_score":0.71026593,"about_ca_system_score_codex":0.000378409,"about_ca_system_score_gemma":0.000054560347,"threshold_uncertainty_score":0.8641347},"labels":[],"label_agreement":null},{"id":"W2294456571","doi":"10.1109/jsac.2016.2525538","title":"Molecular MIMO: From Theory to Prototype","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":221,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministry of Science ICT and Future Planning; National Research Foundation of Korea","keywords":"Molecular communication; Intersymbol interference; Computer science; MIMO; Transmitter; Channel (broadcasting); Channel state information; Interference (communication); Impulse response; Electronic engineering; Algorithm; Communications system; Detection theory; Telecommunications; Detector; Wireless; Mathematics","score_opus":0.017103894763872817,"score_gpt":0.25981299202746694,"score_spread":0.24270909726359413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294456571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5701095,0.004897738,0.39162698,0.009890311,0.00069991645,0.0016177534,0.000053631415,0.0007175243,0.020386666],"genre_scores_gemma":[0.9889923,0.0014229378,0.008816132,0.00047753102,0.00005230894,0.0001253009,0.000010061656,0.000049649094,0.00005378151],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852103,0.0005084131,0.00039896954,0.00012488767,0.0001867316,0.000259961],"domain_scores_gemma":[0.9972758,0.0005167254,0.0000653138,0.0017920571,0.00017153384,0.00017855508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035296843,0.00016649305,0.00018136048,0.00026751228,0.00021377845,0.000043588254,0.0014342647,0.00010794118,0.00011084853],"category_scores_gemma":[0.00020151405,0.00013282368,0.00006498171,0.00070674217,0.00004652261,0.00009229983,0.00012042945,0.0006046554,0.00015203029],"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":[0.0004334575,0.00082957756,0.0021315378,0.000012683652,0.00053981715,0.00007284307,0.0018888444,0.020124424,0.6674312,0.021023696,0.010314513,0.27519742],"study_design_scores_gemma":[0.0062153274,0.0008398561,0.027440988,0.003511108,0.00015341498,0.0002594303,0.00016323524,0.018293027,0.18331237,0.04746617,0.7096395,0.0027055661],"about_ca_topic_score_codex":0.0000069541907,"about_ca_topic_score_gemma":0.000083276995,"teacher_disagreement_score":0.69932497,"about_ca_system_score_codex":0.0001866754,"about_ca_system_score_gemma":0.00005925952,"threshold_uncertainty_score":0.5416392},"labels":[],"label_agreement":null},{"id":"W2315397662","doi":"10.1109/jsac.2016.2545380","title":"Design, Analysis, and Hardware Emulation of a Novel Energy Conservation Scheme for Sensor Enhanced FiWi Networks (ECO-SFiWi)","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Photonic Communication Systems","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Wireless sensor network; Emulation; Computer network; Efficient energy use; Wireless; Passive optical network; Time division multiple access; Energy consumption; Key distribution in wireless sensor networks; Real-time computing; Embedded system; Wireless network; Telecommunications; Engineering; Electrical engineering","score_opus":0.040841251986956435,"score_gpt":0.2874975835269392,"score_spread":0.2466563315399828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315397662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03726168,0.00059114717,0.9611291,0.00038341768,0.000084374384,0.0003084594,0.00003181364,0.000083133724,0.00012682668],"genre_scores_gemma":[0.932301,0.0020613715,0.06530103,0.00004429921,0.000034493234,0.00013091534,0.00004163213,0.000034591565,0.00005065587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983796,0.00024736093,0.0008246651,0.00015718398,0.0001650488,0.00022613407],"domain_scores_gemma":[0.9955136,0.002204042,0.00039758187,0.0011264723,0.00067219965,0.00008607026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046601956,0.00018651674,0.00038985696,0.00050353416,0.00018501322,0.000035256264,0.0005499079,0.00013545202,0.000010347389],"category_scores_gemma":[0.00026943648,0.00016566132,0.00008857477,0.0012438442,0.00007751513,0.00024280124,0.000043360138,0.0002761073,6.4116597e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028140852,0.00041339613,0.0044861445,0.00004194129,0.0012251318,5.5247983e-7,0.0008593384,0.56248254,0.414242,0.0019928683,0.0005497249,0.013424979],"study_design_scores_gemma":[0.0020930069,0.00008813565,0.0068446356,0.0003710017,0.00012226184,0.000019320038,0.000067921654,0.9662619,0.02057941,0.00028537452,0.0029614156,0.00030557226],"about_ca_topic_score_codex":0.000021563694,"about_ca_topic_score_gemma":0.00036150432,"teacher_disagreement_score":0.8958281,"about_ca_system_score_codex":0.0002262796,"about_ca_system_score_gemma":0.000072445895,"threshold_uncertainty_score":0.67554724},"labels":[],"label_agreement":null},{"id":"W2329630841","doi":"10.1109/jsac.2016.2545358","title":"Joint Chance-Constrained Predictive Resource Allocation for Energy-Efficient Video Streaming","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","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":"Royal Military College of Canada; Cisco Systems (Canada); Queen's University","funders":"","keywords":"Computer science; Quality of service; Mathematical optimization; Efficient energy use; Probabilistic logic; Robustness (evolution); Resource allocation; Exploit; Time horizon; Train; Base station; Real-time computing; Distributed computing; Computer network; Artificial intelligence","score_opus":0.020401491521633845,"score_gpt":0.24815629687923235,"score_spread":0.2277548053575985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329630841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008690582,0.00036231746,0.98746204,0.0008481616,0.00024854837,0.00040455555,0.00004852472,0.0002470206,0.001688231],"genre_scores_gemma":[0.98771757,0.0005238034,0.011154403,0.000038850103,0.00015490473,0.00022984849,0.000031840988,0.000055123353,0.000093637726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985908,0.0001613987,0.00060447265,0.00017256902,0.00016418962,0.00030653927],"domain_scores_gemma":[0.9979603,0.00060901424,0.00021968712,0.0007050828,0.0004007896,0.00010508234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033679508,0.00019046162,0.00022433452,0.00038147133,0.0002569405,0.000039512684,0.00044095493,0.00010951398,0.0000072109974],"category_scores_gemma":[0.00036510435,0.00016177369,0.000063427295,0.00054452923,0.00006879742,0.0001835367,0.000026982307,0.0002795328,0.0000042057504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060591134,0.00017011876,0.00006840873,0.000016054493,0.00008424294,0.0000012741586,0.00059071503,0.92349976,0.047252692,0.0027928203,0.0008467112,0.024616638],"study_design_scores_gemma":[0.0024926427,0.00024910428,0.0008496714,0.0015864683,0.00004372547,0.000102072285,0.00034942373,0.9605257,0.025226474,0.0010650029,0.007004044,0.0005056973],"about_ca_topic_score_codex":0.000004513983,"about_ca_topic_score_gemma":0.00006419229,"teacher_disagreement_score":0.97902703,"about_ca_system_score_codex":0.0007159257,"about_ca_system_score_gemma":0.00008569988,"threshold_uncertainty_score":0.6596939},"labels":[],"label_agreement":null},{"id":"W2335056529","doi":"10.1109/jsac.2016.2551538","title":"Self-Sustainable Communications With RF Energy Harvesting: Ginibre Point Process Modeling and Analysis","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Ministry of Education, India; National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Energy harvesting; Fading; Computer science; Radio frequency; Transmission (telecommunications); Stochastic geometry; Transmitter; Wireless; Energy (signal processing); Cognitive radio; Telecommunications link; Telecommunications; Nakagami distribution; Electronic engineering; Topology (electrical circuits); Computer network; Electrical engineering; Mathematics; Engineering; Channel (broadcasting); Statistics","score_opus":0.015960906537122843,"score_gpt":0.24553089941924494,"score_spread":0.2295699928821221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335056529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42251197,0.005915887,0.53640074,0.0062511996,0.00016912523,0.0005590044,0.000031287218,0.0021835922,0.025977202],"genre_scores_gemma":[0.97281396,0.004908206,0.021781119,0.00006599079,0.000054462136,0.000098914956,0.000020661768,0.00007488603,0.00018179568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805653,0.00029797084,0.000626577,0.0002336094,0.00026453656,0.0005207784],"domain_scores_gemma":[0.9959552,0.00092665333,0.00019870992,0.002005692,0.0006905926,0.00022312513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048654972,0.00029416996,0.00039025224,0.00074856135,0.00063096633,0.00020183541,0.0015308214,0.0001457376,0.000006448238],"category_scores_gemma":[0.00016128103,0.00022969586,0.00006433425,0.002641345,0.00015760641,0.00058619294,0.00014872338,0.0008475052,0.000001816653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003171237,0.00030565873,0.008185676,0.000046789337,0.00092050945,0.000018685132,0.00081342115,0.97524726,0.00037482724,0.008703989,0.00013026495,0.0052211815],"study_design_scores_gemma":[0.00068910804,0.00007687987,0.0010193049,0.00050005474,0.00025150122,0.00014198752,0.00026078164,0.9933166,0.00019090665,0.0012116792,0.0019221166,0.0004190782],"about_ca_topic_score_codex":0.00008233167,"about_ca_topic_score_gemma":0.0010645149,"teacher_disagreement_score":0.55030197,"about_ca_system_score_codex":0.00040861778,"about_ca_system_score_gemma":0.00017451005,"threshold_uncertainty_score":0.9366725},"labels":[],"label_agreement":null},{"id":"W2344619542","doi":"10.1109/jsac.2016.2520245","title":"Greener Data Exchange in the Cloud: A Coding-Based Optimization for Big Data Processing","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Goodput; Cloud computing; Big data; Distributed computing; Data center; Volume (thermodynamics); Data exchange; Computer network; Database; Data mining; Operating system; Wireless","score_opus":0.27241760672678594,"score_gpt":0.3708167054825921,"score_spread":0.09839909875580616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344619542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004978548,0.0012916713,0.9586513,0.038390245,0.00028906335,0.00045215318,0.000049512713,0.00006067034,0.00031754933],"genre_scores_gemma":[0.92885816,0.005619677,0.06307764,0.0017329785,0.00034232845,0.0000998312,0.00021301987,0.000022567063,0.00003380206],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744755,0.0010966517,0.000528243,0.00035528382,0.00028046418,0.0002917923],"domain_scores_gemma":[0.9908495,0.0018515534,0.00031532248,0.006474796,0.00044542793,0.00006340494],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0025931252,0.00015905355,0.00018206936,0.00034468013,0.0006906841,0.00036772364,0.013793455,0.00006739791,0.000007099979],"category_scores_gemma":[0.0008630856,0.00010285507,0.0000259476,0.0017636539,0.00009532151,0.000935153,0.0010501447,0.0005008511,0.0000035313628],"study_design_candidate":"design_other","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":[0.00008637385,0.001142281,0.001564645,0.000024070714,0.0000351495,0.0000059333474,0.0016659809,0.007950298,0.0005825689,0.005141095,0.019209422,0.9625922],"study_design_scores_gemma":[0.00126976,0.00006657806,0.0011189287,0.0005139744,0.0000104077635,0.000027696005,0.00003251182,0.9499294,0.000040673815,0.0002884936,0.046502594,0.00019898145],"about_ca_topic_score_codex":0.000007649351,"about_ca_topic_score_gemma":0.0013636297,"teacher_disagreement_score":0.9623932,"about_ca_system_score_codex":0.00014937748,"about_ca_system_score_gemma":0.00044042716,"threshold_uncertainty_score":0.9915424},"labels":[],"label_agreement":null},{"id":"W2344785668","doi":"10.1109/jsac.2016.2520181","title":"Maximizing Network Utility of Rechargeable Sensor Networks With Spatiotemporally Coupled Constraints","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Battery (electricity); Context (archaeology); Constraint (computer-aided design); Mathematical optimization; Dual (grammatical number); Utility maximization problem; Maximization; Distributed computing; Utility maximization; Power (physics)","score_opus":0.025217864619591197,"score_gpt":0.23752502234887085,"score_spread":0.21230715772927966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344785668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4986486,0.0016640169,0.4843785,0.0011151123,0.001018547,0.0006546769,0.000030151778,0.0007692363,0.011721162],"genre_scores_gemma":[0.96668285,0.0018921824,0.031076265,0.000041513304,0.00016886852,0.000021225225,0.000011114572,0.000063740415,0.00004221743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979164,0.0003643871,0.00077786646,0.00018023733,0.00026002002,0.00050110643],"domain_scores_gemma":[0.9965502,0.00139017,0.00032999582,0.0011298733,0.00044596836,0.00015376936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008056633,0.00025413357,0.0004096286,0.00013552689,0.00021417292,0.00004517532,0.00079510076,0.00019167113,0.00007400356],"category_scores_gemma":[0.00020130527,0.00019580424,0.000060577375,0.00097408437,0.0002949703,0.00019200942,0.000045781035,0.0010018705,0.0000046360756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101811005,0.00013532126,0.036227442,0.000015853244,0.00016011186,0.000014873579,0.00006982704,0.95134556,0.0012516823,0.0004893337,0.0014464689,0.008741709],"study_design_scores_gemma":[0.002137767,0.00020063067,0.043654412,0.0036453775,0.000056410285,0.0002626278,0.000038997565,0.94665986,0.0009373601,0.00051948096,0.0012572672,0.0006297852],"about_ca_topic_score_codex":0.000018397006,"about_ca_topic_score_gemma":0.00033084417,"teacher_disagreement_score":0.46803427,"about_ca_system_score_codex":0.00017540458,"about_ca_system_score_gemma":0.00014307135,"threshold_uncertainty_score":0.7984665},"labels":[],"label_agreement":null},{"id":"W2415153062","doi":"10.1109/jsac.2016.2577219","title":"WhiteFi Infostation: Engineering Vehicular Media Streaming With Geolocation Database","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Geolocation; Database; Multimedia; Computer network; World Wide Web","score_opus":0.012645762409435298,"score_gpt":0.2198015512667703,"score_spread":0.20715578885733502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415153062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9077268,0.0015342983,0.086535804,0.0017245989,0.0004638037,0.000438818,0.000059036185,0.00060158805,0.00091523],"genre_scores_gemma":[0.98912776,0.0015946968,0.008869729,0.000047757243,0.00016417661,0.000045709767,0.00007011889,0.0000644628,0.000015601667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985054,0.00012837606,0.00047028105,0.0001593894,0.0003357272,0.00040083533],"domain_scores_gemma":[0.99763834,0.0006977819,0.000115473886,0.001068514,0.0002997478,0.00018015142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003596353,0.00023921557,0.00021880993,0.00041001404,0.00016083907,0.00007946472,0.0006726173,0.00010502849,0.000033243272],"category_scores_gemma":[0.00024288332,0.00018677054,0.000038497798,0.0009749982,0.00005460948,0.0005178974,0.000043729364,0.0007799,0.00003717241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024833791,0.000084803774,0.00235682,0.000015999753,0.000106862804,0.000032740463,0.00035945387,0.97338325,0.009848158,0.00054635014,0.0006275355,0.012613194],"study_design_scores_gemma":[0.003025704,0.00017590502,0.062023427,0.0027840158,0.00010509686,0.0007922654,0.00014292882,0.9119224,0.00523923,0.00019501045,0.012558018,0.0010360092],"about_ca_topic_score_codex":0.000008555887,"about_ca_topic_score_gemma":0.00039458976,"teacher_disagreement_score":0.08140092,"about_ca_system_score_codex":0.00040970877,"about_ca_system_score_gemma":0.00010868748,"threshold_uncertainty_score":0.76162815},"labels":[],"label_agreement":null},{"id":"W2507866784","doi":"10.1109/jsac.2016.2606818","title":"VERACITY: Overlapping Coalition Formation-Based Double Auction for Heterogeneous Demand and Spectrum Reusability","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Spectrum auction; Double auction; Outcome (game theory); Frequency allocation; Convergence (economics); Resource allocation; Auction algorithm; Auction theory; Microeconomics; Revenue equivalence; Common value auction; Economics; Computer network","score_opus":0.1234145194696224,"score_gpt":0.3873974884820771,"score_spread":0.2639829690124547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507866784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4476251,0.0000980101,0.5326433,0.018201001,0.00023937487,0.0006623883,0.00006787561,0.00007062298,0.00039233436],"genre_scores_gemma":[0.9967396,0.00015333715,0.0024939852,0.00021837917,0.000106426334,0.00013716056,0.000013421806,0.000012052679,0.00012559097],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976029,0.00057377934,0.0008772796,0.00028520863,0.0004223007,0.00023854291],"domain_scores_gemma":[0.9939418,0.0036274826,0.00053917925,0.0011498497,0.0006065504,0.00013515534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002655983,0.0001461364,0.00023110761,0.00040696212,0.0010630208,0.00023652455,0.00073049736,0.00010276256,0.00008171602],"category_scores_gemma":[0.0012775739,0.00010561557,0.000096802,0.00082418404,0.00020407152,0.00067960424,0.00004818421,0.00028246513,0.00003359164],"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":[0.011117381,0.008183969,0.061842225,0.00014764503,0.0005375338,0.000012850064,0.0056116376,0.08138542,0.14012618,0.31906143,0.026176825,0.3457969],"study_design_scores_gemma":[0.00854411,0.0007092042,0.029538035,0.00045724658,0.00008637301,0.00057119096,0.0005184586,0.04807447,0.044318903,0.7828137,0.08350361,0.00086464983],"about_ca_topic_score_codex":0.000007738389,"about_ca_topic_score_gemma":0.00018589078,"teacher_disagreement_score":0.5491146,"about_ca_system_score_codex":0.0002922089,"about_ca_system_score_gemma":0.00013195786,"threshold_uncertainty_score":0.81760037},"labels":[],"label_agreement":null},{"id":"W2514892827","doi":"10.1109/jsac.2016.2600338","title":"Optimal Stochastic Power Control for Energy Harvesting Systems With Delay Constraints","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Fading; Markov decision process; Mathematical optimization; Power control; Queue; Channel (broadcasting); Reinforcement learning; Control theory (sociology); Queuing delay; Markov process; Power (physics); Mathematics; Control (management); Computer network","score_opus":0.015468949429643587,"score_gpt":0.23345669445840095,"score_spread":0.21798774502875737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514892827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04557271,0.0005919664,0.951287,0.0002717363,0.00045794915,0.00024378386,0.000043952405,0.0002938001,0.0012371618],"genre_scores_gemma":[0.99159074,0.000115221526,0.007765168,0.000049340473,0.0001581733,0.000121866506,0.00000768161,0.00008672421,0.00010510785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833447,0.00021974997,0.0005744615,0.00017171202,0.00021347706,0.00048610655],"domain_scores_gemma":[0.99572957,0.0027182281,0.00020491618,0.0007193955,0.00044608698,0.00018182697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039371045,0.00025716372,0.00032948263,0.00020110157,0.00027849682,0.00012818586,0.0007556974,0.00014052553,0.000009497862],"category_scores_gemma":[0.00034354697,0.00019085691,0.000054888747,0.00040984224,0.00020496537,0.00022433618,0.000020953765,0.0005327114,0.0000040915374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000576813,0.00006893722,0.0002772049,0.0000070986925,0.00014910485,0.0000099735,0.00006314915,0.9913559,0.0015009844,0.00330081,0.000451803,0.0027573837],"study_design_scores_gemma":[0.005783826,0.00053628994,0.0014419325,0.0038679934,0.000101532365,0.0015617282,0.00010584308,0.9819953,0.000304522,0.00017076715,0.0032401439,0.0008901334],"about_ca_topic_score_codex":0.000012977002,"about_ca_topic_score_gemma":0.00011848851,"teacher_disagreement_score":0.946018,"about_ca_system_score_codex":0.0003154211,"about_ca_system_score_gemma":0.00014228706,"threshold_uncertainty_score":0.7782919},"labels":[],"label_agreement":null},{"id":"W2521375007","doi":"10.1109/jsac.2016.2611979","title":"Secrecy-Based Energy-Efficient Data Offloading via Dual Connectivity Over Unlicensed Spectrums","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Secrecy; Dual (grammatical number); Computer security","score_opus":0.03865880970438533,"score_gpt":0.28795919812453746,"score_spread":0.24930038842015212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521375007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50540066,0.0012609753,0.4789642,0.005465398,0.0006030801,0.00055647065,0.00029977364,0.0020205688,0.005428887],"genre_scores_gemma":[0.9930383,0.0010621476,0.005393358,0.00019164078,0.000100147176,0.000043380212,0.00007631845,0.000080042024,0.000014652055],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737805,0.00070542144,0.0007322067,0.00029751618,0.00041841337,0.00046836588],"domain_scores_gemma":[0.992732,0.0018184254,0.00023712598,0.0047427304,0.00027557206,0.0001941675],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008799859,0.00031526017,0.00037040515,0.0006368247,0.00036938157,0.00011576859,0.0029993674,0.00019172842,0.00010206016],"category_scores_gemma":[0.00033811096,0.00027654017,0.00008115451,0.0011537453,0.00016926505,0.0003431641,0.00032542655,0.0010636594,0.000026581652],"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":[0.0005558275,0.006659185,0.014139948,0.00011045091,0.0011198248,0.00011371666,0.0019907472,0.074909136,0.67143846,0.06984622,0.02841331,0.13070318],"study_design_scores_gemma":[0.0029808988,0.00018194912,0.014742066,0.001208229,0.00006878199,0.00022961508,0.000049404487,0.8680844,0.076522194,0.004577362,0.030103205,0.0012519184],"about_ca_topic_score_codex":0.00007462659,"about_ca_topic_score_gemma":0.00090547366,"teacher_disagreement_score":0.7931752,"about_ca_system_score_codex":0.00076535816,"about_ca_system_score_gemma":0.00019682039,"threshold_uncertainty_score":0.99996865},"labels":[],"label_agreement":null},{"id":"W2527982577","doi":"10.1109/jsac.2016.2603663","title":"Mitigation of Inter-Cell Interference in Flash Memory With Capacity-Approaching Variable-Length Constrained Sequence Codes","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Division of Electrical, Communications and Cyber Systems; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Computer science; Flash memory; Sequence (biology); Algorithm; Interference (communication); Constraint (computer-aided design); Computer hardware; Telecommunications; Mathematics","score_opus":0.04302865943478798,"score_gpt":0.27316601394612766,"score_spread":0.23013735451133968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527982577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1856627,0.000054010452,0.8105174,0.0011667678,0.000078901074,0.00022717826,0.00003277153,0.0001527321,0.00210758],"genre_scores_gemma":[0.7377447,0.00018209557,0.26197234,0.000044875524,0.0000055771757,0.000023815695,0.0000038166595,0.0000091777,0.000013614091],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981528,0.00041324855,0.0006228583,0.00029223264,0.00021764543,0.00030122825],"domain_scores_gemma":[0.99616927,0.0011929021,0.00051412254,0.0016832763,0.00037317016,0.000067238376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067187945,0.00019612044,0.000299772,0.0006010716,0.00014116327,0.00007383305,0.0032454117,0.00010449531,0.0000049436844],"category_scores_gemma":[0.00062593486,0.00014388835,0.000027483682,0.0013975877,0.0005103782,0.0011322745,0.00031330116,0.0009782794,0.0000049160685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031345736,0.0024279351,0.012265602,0.00011050648,0.0001551897,0.000089336754,0.0074272803,0.0076466473,0.56106806,0.21864091,0.00031325815,0.18954183],"study_design_scores_gemma":[0.013133652,0.0035884334,0.0068461704,0.016560784,0.00008472016,0.0022692415,0.0032252024,0.20884793,0.5271238,0.21411183,0.0010507478,0.0031574836],"about_ca_topic_score_codex":0.00003565339,"about_ca_topic_score_gemma":0.00040220754,"teacher_disagreement_score":0.552082,"about_ca_system_score_codex":0.00038309902,"about_ca_system_score_gemma":0.00031981064,"threshold_uncertainty_score":0.6030836},"labels":[],"label_agreement":null},{"id":"W2528584088","doi":"10.1109/jsac.2016.2615261","title":"Secure Transmission in Cognitive Satellite Terrestrial Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":376,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Channel state information; Telecommunications link; Transmission (telecommunications); Beamforming; Base station; Satellite; Computer network; Interference (communication); Optimization problem; Channel (broadcasting); Telecommunications; Wireless; Algorithm","score_opus":0.04276695135308052,"score_gpt":0.294104844381964,"score_spread":0.2513378930288835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528584088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7534563,0.093294665,0.08592827,0.009397408,0.0037247313,0.0035892082,0.000094310046,0.0017015825,0.04881355],"genre_scores_gemma":[0.95163333,0.0474103,0.0005900029,0.00005538602,0.00014177177,0.000054746408,0.000018846978,0.000050404182,0.000045220953],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975883,0.0007815853,0.00085839507,0.00016075496,0.00023411399,0.000376854],"domain_scores_gemma":[0.9967565,0.0017504229,0.00014503681,0.0010420738,0.00015095521,0.0001550259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006352033,0.00023281688,0.00030935378,0.0005241751,0.00014572455,0.00007422982,0.0011755909,0.00021663393,0.000045958473],"category_scores_gemma":[0.00013296517,0.00018549839,0.00007875332,0.0011771871,0.000089113724,0.0002720104,0.000042049214,0.0011798211,0.00004075282],"study_design_candidate":"design_other","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":[0.00053501315,0.0008289224,0.030759035,0.000026961734,0.0002469831,0.00005161047,0.0041647186,0.011692123,0.015391065,0.0004624659,0.0010721762,0.9347689],"study_design_scores_gemma":[0.029856805,0.00081747805,0.26692012,0.025910534,0.00018934702,0.0012468417,0.001676686,0.16763705,0.011167484,0.0040977993,0.4863165,0.0041633626],"about_ca_topic_score_codex":0.000013532394,"about_ca_topic_score_gemma":0.00026332907,"teacher_disagreement_score":0.9306056,"about_ca_system_score_codex":0.0004009987,"about_ca_system_score_gemma":0.000083830644,"threshold_uncertainty_score":0.75644046},"labels":[],"label_agreement":null},{"id":"W2546306028","doi":"10.1109/jsac.2016.2621618","title":"Toward Energy-Efficient and Robust Large-Scale WSNs: A Scale-Free Network Approach","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Kuwait Foundation for the Advancement of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Robustness (evolution); Computer science; Wireless sensor network; Efficient energy use; Distributed computing; Network topology; Software deployment; Scale-free network; Cluster analysis; Topology (electrical circuits); Computer network; Complex network; Artificial intelligence; Mathematics; Engineering","score_opus":0.028599924183470304,"score_gpt":0.239385623856787,"score_spread":0.2107856996733167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546306028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027159847,0.0016285066,0.95944804,0.005779561,0.0005001541,0.00017893685,0.00001001991,0.00024300735,0.0050519127],"genre_scores_gemma":[0.84483933,0.002098145,0.15198591,0.00050549407,0.00028085237,0.000047880596,0.000006191223,0.000039283328,0.00019692123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964993,0.00086913817,0.00070185174,0.00052215694,0.00056189724,0.00084568176],"domain_scores_gemma":[0.995005,0.00089834945,0.0003643525,0.0029979304,0.00040595725,0.000328399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009900947,0.00031896768,0.0003856815,0.00037797994,0.0007340439,0.00029135044,0.004294921,0.00019975386,0.000007416538],"category_scores_gemma":[0.00014525546,0.00024084107,0.00010640418,0.0019548559,0.00021556001,0.00029448853,0.00088545086,0.00083270686,0.000008200991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005844247,0.0018086479,0.0026684275,0.000008315979,0.00008024561,0.00002134875,0.0012969674,0.9113605,0.00039193901,0.055234067,0.008858669,0.018212434],"study_design_scores_gemma":[0.002056789,0.00016022589,0.004467795,0.000519307,0.000022502334,0.00049688993,0.0000835375,0.98146546,0.00019993183,0.0018924666,0.008065962,0.00056911685],"about_ca_topic_score_codex":0.000018190762,"about_ca_topic_score_gemma":0.00026731152,"teacher_disagreement_score":0.81767946,"about_ca_system_score_codex":0.00028101393,"about_ca_system_score_gemma":0.00016773921,"threshold_uncertainty_score":0.98212135},"labels":[],"label_agreement":null},{"id":"W2558073332","doi":"10.1109/jsac.2016.2633039","title":"Small-Macro Cell Cooperation for HetNet Uplink Transmission: Spectral Efficiency and Reliability Analyses","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Spectral efficiency; Transmission (telecommunications); Telecommunications link; Decoding methods; Macro; Heterogeneous network; User equipment; Fading; Base station; Cellular network; Computer network; Relay; Small cell; Algorithm; Channel (broadcasting); Wireless network; Telecommunications; Wireless; Power (physics)","score_opus":0.09039897798359212,"score_gpt":0.34549365051688535,"score_spread":0.2550946725332932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558073332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050499063,0.0014439571,0.93202066,0.014533438,0.00013172145,0.0004209574,0.000003936599,0.00009295819,0.0008533147],"genre_scores_gemma":[0.92651886,0.009327676,0.06359243,0.0002738538,0.00005322239,0.000049638926,0.000005794997,0.000013332211,0.00016517988],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793977,0.0006637202,0.0006052566,0.00031944536,0.00016174675,0.00031004718],"domain_scores_gemma":[0.9959305,0.0015240918,0.0002083687,0.0015101754,0.0006522855,0.0001745866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009462549,0.0001942824,0.00025156743,0.00026100432,0.00088328624,0.0002357325,0.0018926545,0.000089534435,0.000019236466],"category_scores_gemma":[0.00028170948,0.00013882198,0.000083611805,0.0010260906,0.00013565924,0.00038607704,0.00014954616,0.00048574246,0.0000061461624],"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":[0.0004314191,0.0045883446,0.0061951973,0.000068347304,0.0001370665,0.000012432832,0.00589926,0.008790467,0.28151911,0.05938892,0.0063754744,0.62659395],"study_design_scores_gemma":[0.0064656646,0.0014143202,0.015594544,0.0008687185,0.00007415573,0.0001929382,0.00005938414,0.87257576,0.04972108,0.006965788,0.044779938,0.0012876882],"about_ca_topic_score_codex":0.0000037629807,"about_ca_topic_score_gemma":0.00004635648,"teacher_disagreement_score":0.87601984,"about_ca_system_score_codex":0.00018060683,"about_ca_system_score_gemma":0.00025265376,"threshold_uncertainty_score":0.6793613},"labels":[],"label_agreement":null},{"id":"W2565396475","doi":"10.1109/jsac.2017.2726378","title":"Highly Efficient 3-D Resource Allocation Techniques in 5G for NOMA-Enabled Massive MIMO and Relaying Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Noma; Computer science; MIMO; Scheduling (production processes); Spectral efficiency; Computer network; Maximization; Resource allocation; Distributed computing; Computer engineering; Telecommunications link; Channel (broadcasting); Mathematical optimization; Mathematics","score_opus":0.028445713825531217,"score_gpt":0.28781219625130766,"score_spread":0.2593664824257764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565396475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8647142,0.009657715,0.10048851,0.01003348,0.00050350896,0.0033218353,0.00004913589,0.0019530238,0.009278613],"genre_scores_gemma":[0.98189014,0.0035015927,0.014064959,0.000020335781,0.00002916821,0.00040338782,0.000013888235,0.00004678747,0.00002976599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986133,0.0001620919,0.0006076451,0.00017154212,0.00014915931,0.00029627714],"domain_scores_gemma":[0.99640477,0.0007136813,0.00036894134,0.0021969152,0.00025527482,0.000060440714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056376314,0.00019769715,0.00029559917,0.0005759773,0.00078523485,0.0002376733,0.0018010584,0.00019494988,6.499079e-7],"category_scores_gemma":[0.0007540315,0.000206528,0.000037329082,0.0003516561,0.00017173834,0.00025524598,0.00014063416,0.0010357798,0.0000020107052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018283154,0.0006866295,0.0052553625,0.00026651486,0.00017974497,0.000016890062,0.0023266,0.83146036,0.0658152,0.02870257,0.0018425679,0.06326473],"study_design_scores_gemma":[0.0031788722,0.00030463873,0.02434114,0.003559844,0.000047908874,0.00016438428,0.0026788218,0.8737122,0.05278626,0.0032781293,0.03468496,0.0012628657],"about_ca_topic_score_codex":0.00003780423,"about_ca_topic_score_gemma":0.00013116705,"teacher_disagreement_score":0.11717594,"about_ca_system_score_codex":0.0004945989,"about_ca_system_score_gemma":0.000050323848,"threshold_uncertainty_score":0.84219676},"labels":[],"label_agreement":null},{"id":"W2583733750","doi":"10.1109/jsac.2017.2659259","title":"Online Stochastic Buy-Sell Mechanism for VNF Chains in the NFV Market","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Provisioning; Bidding; Service provider; Service (business); Resource allocation; Resource (disambiguation); Computer network; Business; Marketing","score_opus":0.05964577568705401,"score_gpt":0.3245554702241397,"score_spread":0.2649096945370857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583733750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035049982,0.000509735,0.91117996,0.04894618,0.0011207387,0.0010884112,0.000058668742,0.00014291484,0.0019033861],"genre_scores_gemma":[0.9696215,0.0005086144,0.027894393,0.0014279296,0.00021363405,0.00009269279,0.000009986988,0.000019988995,0.00021127643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819326,0.00040781594,0.00047178206,0.000229629,0.00029184148,0.00040567273],"domain_scores_gemma":[0.9943596,0.0018651284,0.00041454524,0.002923839,0.0003446704,0.00009218033],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0011610731,0.00018408931,0.00023901217,0.00025782175,0.0012355502,0.0005270178,0.00652573,0.00010762103,0.0000074936047],"category_scores_gemma":[0.0008950276,0.00014135239,0.00009242244,0.0005105381,0.000083348496,0.0003393361,0.00024618572,0.0010733112,0.000005984187],"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":[0.00039744872,0.009426738,0.0037649132,0.000051745887,0.00030687146,0.00011641387,0.009246092,0.012942235,0.00079923525,0.8010072,0.06054566,0.10139543],"study_design_scores_gemma":[0.0030108872,0.000520911,0.05626979,0.0005591185,0.000033399414,0.00037934218,0.00017732306,0.8137369,0.00006252168,0.11833294,0.006319065,0.00059778884],"about_ca_topic_score_codex":0.00004779456,"about_ca_topic_score_gemma":0.0017446253,"teacher_disagreement_score":0.9345715,"about_ca_system_score_codex":0.000124847,"about_ca_system_score_gemma":0.00019842232,"threshold_uncertainty_score":0.99884945},"labels":[],"label_agreement":null},{"id":"W2598778432","doi":"10.1109/jsac.2017.2687838","title":"A Flexible Millimeter-Wave Channel Sounder With Absolute Timing","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":190,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Delay spread; Multipath propagation; Wideband; Computer science; Power delay profile; Electronic engineering; Channel sounding; Bandwidth (computing); Channel (broadcasting); Acoustics; Physics; Telecommunications; MIMO; Engineering","score_opus":0.11130568864117395,"score_gpt":0.29902971661182587,"score_spread":0.1877240279706519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598778432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40830526,0.0012078653,0.55716455,0.0022674985,0.00075293984,0.0005539249,0.000024368894,0.00048980594,0.029233811],"genre_scores_gemma":[0.9880886,0.0012556391,0.010122496,0.00013888915,0.00010956776,0.000031950873,0.0000111763775,0.000058816207,0.0001828326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998754,0.00009253043,0.0004079273,0.00015350776,0.0002336591,0.00035836137],"domain_scores_gemma":[0.9978017,0.0001323022,0.0001944276,0.0014586655,0.0002649269,0.00014797496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033247113,0.00021387407,0.00023674434,0.00033448328,0.0010039951,0.00035097467,0.00087345333,0.00009770575,0.00003107432],"category_scores_gemma":[0.000087334374,0.00019359386,0.000062853156,0.00022277562,0.00008745671,0.0003515289,0.00007032643,0.0009607299,0.000035527777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005367321,0.0019466195,0.0026313732,0.00025503896,0.0021911494,0.00024018502,0.012872404,0.7552301,0.13851212,0.0011693718,0.01028238,0.074132524],"study_design_scores_gemma":[0.0031873488,0.00036379893,0.009364109,0.0013565237,0.0001289074,0.00090821827,0.0003355178,0.9399981,0.03513569,0.003667874,0.004306016,0.0012479018],"about_ca_topic_score_codex":0.000022272052,"about_ca_topic_score_gemma":0.00022817611,"teacher_disagreement_score":0.5797834,"about_ca_system_score_codex":0.0001941597,"about_ca_system_score_gemma":0.00007710692,"threshold_uncertainty_score":0.78945285},"labels":[],"label_agreement":null},{"id":"W2610974334","doi":"10.1109/jsac.2013.130501","title":"Guest Editorial Spectrum and Energy Efficient Design of Wireless Communication Networks: Part I","year":2013,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Wireless; Telecommunications; Computer network; Wireless network; Efficient energy use; Mobile telephony; Mobile radio; Electrical engineering","score_opus":0.02284460766003156,"score_gpt":0.2829143488712801,"score_spread":0.26006974121124854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610974334","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009019379,0.0070093847,0.11203837,0.002413701,0.8768947,0.00069247815,0.000033353354,0.00019917835,0.00062865857],"genre_scores_gemma":[0.033882096,0.1113568,0.011824891,0.00006012286,0.84166294,0.00045553068,0.00034096136,0.00015994145,0.0002566873],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9889013,0.005706074,0.0019213406,0.0006398846,0.001982402,0.0008489829],"domain_scores_gemma":[0.97437793,0.012967603,0.0018524854,0.0077258167,0.002693117,0.0003830734],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0034048334,0.0006288917,0.0010521157,0.0011042395,0.0009516445,0.0008332553,0.013036212,0.0012483511,0.000010873851],"category_scores_gemma":[0.0012080844,0.00063075474,0.00015442178,0.0025684962,0.00065593823,0.0005299123,0.0021866027,0.0061516413,0.00001432745],"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":[0.00006834844,0.00070440065,0.000013671454,0.00001713543,0.00012176936,0.0000028597583,0.00023095812,0.03798535,0.0000319963,0.0028381,0.95519453,0.0027909016],"study_design_scores_gemma":[0.001171062,0.00032166086,0.0000445572,0.0012955326,0.000037112146,0.000025124771,0.000024143746,0.4405295,0.0000640413,0.000852195,0.55500996,0.00062508474],"about_ca_topic_score_codex":0.00035032333,"about_ca_topic_score_gemma":0.0003011874,"teacher_disagreement_score":0.40254417,"about_ca_system_score_codex":0.0007340083,"about_ca_system_score_gemma":0.0015682456,"threshold_uncertainty_score":0.99961436},"labels":[],"label_agreement":null},{"id":"W2620812122","doi":"10.1109/jsac.2017.2690498","title":"Guest Editorial Deployment Issues and Performance Challenges for 5G, Part I","year":2017,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Software deployment; Computer science; Telecommunications; Software engineering","score_opus":0.046441513511734006,"score_gpt":0.3110403381219294,"score_spread":0.26459882461019535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620812122","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010483627,0.021586154,0.000015288551,0.0013716136,0.9737623,0.00045194625,0.00012338904,0.00056859537,0.0010724014],"genre_scores_gemma":[0.010153533,0.3102026,0.002040041,0.0000030649678,0.67699033,0.00028833235,0.00013179048,0.000091807415,0.00009851171],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981883,0.0001260008,0.0006424862,0.00024129375,0.00039015585,0.00041176684],"domain_scores_gemma":[0.9946431,0.0016110993,0.00037037072,0.0026300284,0.0006583493,0.00008708277],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00072583556,0.00038901606,0.0005261526,0.0004006491,0.00089333806,0.0003026171,0.0028626642,0.0008793446,0.0000019690224],"category_scores_gemma":[0.0016566876,0.00038395103,0.00008060409,0.00015893446,0.00019964017,0.00024063858,0.00015468802,0.003049318,0.000007227143],"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":[0.000028462218,0.00011224543,0.000033164382,0.00009604364,0.00010012018,7.4720134e-7,0.00012438829,0.00018521902,0.000020973768,0.000026366792,0.98567396,0.013598333],"study_design_scores_gemma":[0.0005898664,0.0002709153,0.00015016826,0.0010799596,0.0000479954,0.00001165781,0.000034296874,0.0010538992,0.00015190423,0.00021511581,0.9960071,0.00038714416],"about_ca_topic_score_codex":0.000018501678,"about_ca_topic_score_gemma":0.0003464956,"teacher_disagreement_score":0.2967719,"about_ca_system_score_codex":0.0003031775,"about_ca_system_score_gemma":0.00019478842,"threshold_uncertainty_score":0.99986124},"labels":[],"label_agreement":null},{"id":"W2626422957","doi":"10.1109/jsac.2017.2725879","title":"Capacity Comparison Between MIMO-NOMA and MIMO-OMA With Multiple Users in a Cluster","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":374,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"MIMO; Noma; Computer science; Interference (communication); Single antenna interference cancellation; Channel capacity; Channel (broadcasting); Signal-to-noise ratio (imaging); Multi-user MIMO; Algorithm; Telecommunications; Telecommunications link","score_opus":0.05451695228955756,"score_gpt":0.30101587936252977,"score_spread":0.24649892707297222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626422957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907769,0.0005020669,0.004960122,0.0022911786,0.000059202244,0.00028010056,0.000016278796,0.00023394062,0.0008802218],"genre_scores_gemma":[0.9751465,0.0012404529,0.023446688,0.000030171097,0.000020874908,0.000055987177,0.000010151122,0.000041454234,0.000007722187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861366,0.0001885568,0.00054175645,0.0001623756,0.00017145074,0.00032217716],"domain_scores_gemma":[0.99623066,0.00076033216,0.00028964356,0.002466531,0.00015910067,0.00009372832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027978735,0.00022995465,0.00039016124,0.00042279979,0.0006094574,0.0001910481,0.0020748044,0.00017212542,0.000002788216],"category_scores_gemma":[0.00042930315,0.00022044407,0.000031377902,0.00036639118,0.0004041736,0.0005251307,0.00021848768,0.0018035799,0.000005728802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004868179,0.00018829903,0.94739985,0.000018189505,0.000079205536,0.0000048068864,0.0008967683,0.033581764,0.0010498804,0.00023533987,0.00030607305,0.016191112],"study_design_scores_gemma":[0.0021240006,0.00011425058,0.9135193,0.000497979,0.000016201708,0.000052679992,0.00034904937,0.07677031,0.0028554287,0.0007788774,0.002499372,0.00042252135],"about_ca_topic_score_codex":0.00009906039,"about_ca_topic_score_gemma":0.00551451,"teacher_disagreement_score":0.043188553,"about_ca_system_score_codex":0.00028630017,"about_ca_system_score_gemma":0.000038629998,"threshold_uncertainty_score":0.89894485},"labels":[],"label_agreement":null},{"id":"W2736030218","doi":"10.1109/jsac.2017.2710438","title":"Guest Editorial Part 2: Deployment Issues and Performance Challenges for 5G","year":2017,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"University of Auckland; University of Engineering and Technology, Lahore","keywords":"Computer science; Information retrieval; Software deployment; Field (mathematics)","score_opus":0.05872968239838985,"score_gpt":0.32513173254787486,"score_spread":0.26640205014948504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736030218","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002306948,0.047528323,0.000008574969,0.00058054255,0.94847876,0.00061575486,0.000117150346,0.00022350934,0.0022166641],"genre_scores_gemma":[0.0044645783,0.34954607,0.00030883626,0.0000042957936,0.6449464,0.00031018903,0.00017222669,0.00011350998,0.00013386796],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99719197,0.00037837093,0.0009896115,0.00029398254,0.00069545733,0.00045059202],"domain_scores_gemma":[0.9920438,0.0026719149,0.0005499525,0.003440578,0.0011150442,0.00017868813],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0013775204,0.00047754828,0.0007096407,0.00041627826,0.0007570169,0.0004002625,0.0030739065,0.00090014416,0.0000034566053],"category_scores_gemma":[0.0012598668,0.00049442146,0.000106735715,0.00016804678,0.00015151175,0.00033753642,0.000111173205,0.0028673285,0.000024583802],"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":[0.000056606943,0.00010375113,0.000060784587,0.00019153964,0.00016119407,9.090176e-7,0.00045373783,0.00013627845,0.000028461714,0.00001399618,0.99323386,0.005558874],"study_design_scores_gemma":[0.00088237325,0.00018413036,0.00016914173,0.0016838266,0.000048695896,0.000015057429,0.00003811226,0.0005713638,0.000122041354,0.000082409184,0.99574393,0.00045891796],"about_ca_topic_score_codex":0.000023046858,"about_ca_topic_score_gemma":0.0003580882,"teacher_disagreement_score":0.30353236,"about_ca_system_score_codex":0.00050129864,"about_ca_system_score_gemma":0.0002870609,"threshold_uncertainty_score":0.99975073},"labels":[],"label_agreement":null},{"id":"W2736111490","doi":"10.1109/jsac.2017.2725178","title":"Dynamic Cell Association for Non-Orthogonal Multiple-Access V2S Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Karush–Kuhn–Tucker conditions; Computer science; Optimization problem; Power control; Transmitter power output; Utility maximization problem; Mathematical optimization; Scheduling (production processes); Base station; Handover; Spectral efficiency; Maximization; Small cell; Computer network; Power (physics); Utility maximization; Algorithm; Transmitter","score_opus":0.026567481564701245,"score_gpt":0.3139553542890991,"score_spread":0.28738787272439786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736111490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47851843,0.002370117,0.4969861,0.005674654,0.0019972874,0.0019896077,0.00015615189,0.0016693341,0.010638314],"genre_scores_gemma":[0.9792434,0.00714344,0.013071522,0.000042604643,0.000048446687,0.00022264426,0.00005523705,0.00006264422,0.00011006684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985715,0.00009751847,0.0005629379,0.00015646515,0.00019958864,0.00041199484],"domain_scores_gemma":[0.9950978,0.0012484285,0.0005888779,0.0025541931,0.00043213172,0.00007854287],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043308263,0.00022401639,0.0002947665,0.00030025086,0.0012109015,0.00037860026,0.0040843487,0.0002628524,0.0000051799107],"category_scores_gemma":[0.0008737074,0.00024607024,0.0001011117,0.00028969834,0.000095161064,0.0006405297,0.00025603612,0.0015184967,0.000008427721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006668756,0.00044889963,0.062012285,0.000038068727,0.00016694247,0.0000031522954,0.00018232156,0.8979468,0.005964181,0.0008830052,0.0022540106,0.030033655],"study_design_scores_gemma":[0.0012614961,0.00004942788,0.1125723,0.00016477962,0.000018821916,0.000009692794,0.000041042284,0.8780277,0.002093772,0.0016092411,0.0037986317,0.00035314134],"about_ca_topic_score_codex":0.00000933028,"about_ca_topic_score_gemma":0.00058279635,"teacher_disagreement_score":0.500725,"about_ca_system_score_codex":0.00079882925,"about_ca_system_score_gemma":0.00006816205,"threshold_uncertainty_score":0.99999917},"labels":[],"label_agreement":null},{"id":"W2736153531","doi":"10.1109/jsac.2017.2774706","title":"A Fixed-Scale Pixelated MIMO Visible Light Communication System","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; MIMO; Transmitter; Visible light communication; Channel (broadcasting); Optical wireless; Communications system; Electronic engineering; Telecommunications; Optics; Physics","score_opus":0.021195601478442048,"score_gpt":0.2710614071040442,"score_spread":0.24986580562560215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736153531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69682854,0.012836237,0.0051628575,0.02927008,0.0014059888,0.0016477377,0.00006925102,0.006094075,0.24668522],"genre_scores_gemma":[0.9823621,0.007639554,0.009627658,0.00003749969,0.000037330046,0.0001103971,0.00002340746,0.000072040384,0.00009004463],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780244,0.00037169462,0.000872591,0.00019404097,0.00031240404,0.00044683623],"domain_scores_gemma":[0.99083674,0.0005143649,0.00040767994,0.007631041,0.00045389656,0.00015625902],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00063515187,0.0003044733,0.0004308657,0.000512373,0.0017858456,0.0005562761,0.0066204583,0.0003346104,0.000021456859],"category_scores_gemma":[0.0004361201,0.0003085926,0.00010992832,0.00065856526,0.00030371614,0.00060213514,0.00047741344,0.0023696527,0.00017485043],"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":[0.0006047525,0.008261081,0.06812936,0.0008602335,0.0031313759,0.00016822788,0.012149544,0.07513309,0.16526994,0.27626878,0.07777667,0.31224695],"study_design_scores_gemma":[0.008413381,0.0006834106,0.175857,0.008902919,0.0002872372,0.001144481,0.0040257093,0.5690119,0.08784665,0.008898077,0.1307161,0.0042131343],"about_ca_topic_score_codex":0.000037524223,"about_ca_topic_score_gemma":0.00040327132,"teacher_disagreement_score":0.4938788,"about_ca_system_score_codex":0.0006528374,"about_ca_system_score_gemma":0.00008341829,"threshold_uncertainty_score":0.99993664},"labels":[],"label_agreement":null},{"id":"W2754790691","doi":"10.1109/jsac.2018.2815298","title":"A Scalable Approach for Service Chain Mapping With Multiple SC Instances in a Wide-Area Network","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Science Foundation","keywords":"Scalability; Virtual network; Network topology; Network virtualization; Integer programming; Bandwidth (computing); Software deployment; Node (physics); Tree traversal","score_opus":0.047400484664609374,"score_gpt":0.26391584884276875,"score_spread":0.21651536417815936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754790691","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052286863,0.0008623725,0.9397522,0.0035999184,0.00024158749,0.00076506217,0.000005595788,0.00018297747,0.0023033898],"genre_scores_gemma":[0.7173804,0.00019473124,0.28094488,0.0011421209,0.00013384508,0.00014960447,0.0000106292255,0.000020539434,0.000023242492],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794257,0.00032456324,0.00053247577,0.00033721703,0.0002684986,0.0005946719],"domain_scores_gemma":[0.9962308,0.0013666132,0.00030795153,0.0013154567,0.000647888,0.00013128007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009581116,0.00022017982,0.00032114086,0.000344364,0.0006941423,0.00026612254,0.0024235784,0.000112491005,0.0000026750538],"category_scores_gemma":[0.00021994779,0.00018845474,0.000047595826,0.0042253854,0.00010280468,0.00048377528,0.00018238483,0.0007744739,0.0000046518403],"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":[0.0011279084,0.004069643,0.5416419,0.000115560535,0.00038615454,0.0000345206,0.014063186,0.35498908,0.0003769235,0.02057995,0.020487655,0.04212751],"study_design_scores_gemma":[0.002292006,0.00035519077,0.034513764,0.0008644631,0.000009649417,0.00011073567,0.00015811149,0.9492439,0.000043040258,0.0039505507,0.008042698,0.00041586626],"about_ca_topic_score_codex":0.000102986574,"about_ca_topic_score_gemma":0.0038248918,"teacher_disagreement_score":0.66509354,"about_ca_system_score_codex":0.00020087448,"about_ca_system_score_gemma":0.0003058189,"threshold_uncertainty_score":0.76849616},"labels":[],"label_agreement":null},{"id":"W2762920447","doi":"10.1109/jsac.2017.2760159","title":"<italic>Stemflow:</italic> Software-Defined Inter-Datacenter Overlay as a Service","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cloud computing; Scalability; Computer network; Server; The Internet; Bandwidth (computing); Overlay network; Distributed computing; Operating system","score_opus":0.03563477499469519,"score_gpt":0.29740463401608525,"score_spread":0.26176985902139005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762920447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56156284,0.007610923,0.27412567,0.106293686,0.011405455,0.0032078498,0.0003754714,0.0033213813,0.03209672],"genre_scores_gemma":[0.9651104,0.0014394262,0.028401185,0.0039108167,0.0003843583,0.00009099488,0.00006699618,0.000091484544,0.00050429313],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99575484,0.0006644354,0.0011518277,0.000697869,0.000790881,0.00094014034],"domain_scores_gemma":[0.9889481,0.0011895421,0.001092131,0.007225433,0.0010752763,0.00046953888],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0010250544,0.0005696216,0.0006623535,0.00054970256,0.0021163179,0.0021480394,0.010902633,0.00030654535,0.00006953087],"category_scores_gemma":[0.0012111797,0.0005320921,0.00025167063,0.0011618213,0.00019692228,0.0019952157,0.0016646348,0.001748046,0.0004870964],"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":[0.0014788406,0.013630721,0.092294,0.0002830862,0.0028969827,0.0012886832,0.014508597,0.005701583,0.0146339815,0.16907288,0.46046394,0.22374672],"study_design_scores_gemma":[0.011934914,0.002022316,0.16853997,0.0048117335,0.00029689693,0.0048412895,0.00016690572,0.12232208,0.0011958394,0.02444492,0.6548747,0.0045484495],"about_ca_topic_score_codex":0.00020649878,"about_ca_topic_score_gemma":0.00203893,"teacher_disagreement_score":0.4035476,"about_ca_system_score_codex":0.00043373744,"about_ca_system_score_gemma":0.0005057163,"threshold_uncertainty_score":0.99971306},"labels":[],"label_agreement":null},{"id":"W2769746582","doi":"10.1109/jsac.2017.2774578","title":"Visible-Light Multi-Gb/s Transmission Based on Resonant Cavity LED With Optical Energy Feed","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; Universität Wien; European Commission","keywords":"Transmission (telecommunications); Computer science; Baseband; Data transmission; Visible light communication; Modulation (music); Transmitter; Symbol rate; Analog transmission; Electronic engineering; Optics; Optical Carrier transmission rates; Physics; Telecommunications; Bandwidth (computing); Light-emitting diode; Analog signal; Bit error rate","score_opus":0.026897758520648674,"score_gpt":0.27975214279221894,"score_spread":0.25285438427157025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769746582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40351206,0.0041732253,0.401217,0.10409963,0.0010695216,0.002122597,0.00008959902,0.0055040736,0.07821226],"genre_scores_gemma":[0.95881194,0.002187622,0.03866641,0.000104630024,0.00002544652,0.00006998358,0.00001399429,0.00006704134,0.000052933432],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980865,0.00026528077,0.00056820863,0.00023220849,0.0004040651,0.00044373772],"domain_scores_gemma":[0.9946269,0.00062377175,0.00020347309,0.0040261536,0.00030473774,0.000214983],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038059911,0.00032838646,0.00040153827,0.0004589064,0.0011161303,0.00029152614,0.0033206972,0.00028404754,0.000021124393],"category_scores_gemma":[0.00038733493,0.00026691036,0.000091926566,0.00050203776,0.00029654682,0.00026383958,0.00011667648,0.0019567271,0.000018165352],"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":[0.0018854858,0.0093104625,0.007960604,0.00012639069,0.0006008127,0.00023265714,0.0007980286,0.15891686,0.106204085,0.050747238,0.0031127443,0.66010463],"study_design_scores_gemma":[0.0040509324,0.0005641508,0.039681297,0.0013439063,0.00004707344,0.00006948144,0.00006332956,0.87494725,0.05691062,0.00048595763,0.021029681,0.0008063469],"about_ca_topic_score_codex":0.000033201715,"about_ca_topic_score_gemma":0.00034063452,"teacher_disagreement_score":0.71603036,"about_ca_system_score_codex":0.00037587332,"about_ca_system_score_gemma":0.00016013418,"threshold_uncertainty_score":0.9999783},"labels":[],"label_agreement":null},{"id":"W2783764817","doi":"10.1109/jsac.2017.2780979","title":"Guest Editorial Localisation, Communication and Networking With VLC","year":2018,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Computer science; Visible light communication; Telecommunications; Computer network; Optoelectronics; Light-emitting diode","score_opus":0.012194366417639598,"score_gpt":0.2514214787247306,"score_spread":0.23922711230709098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783764817","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020100872,0.0038870436,0.000097344666,0.00019275445,0.9913531,0.00026130205,0.00004929185,0.00019377607,0.0019553255],"genre_scores_gemma":[0.021633832,0.019255152,0.0010528556,0.000031442505,0.9574177,0.00004379314,0.00041829675,0.000113553775,0.000033348933],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977141,0.00035093896,0.00069062953,0.00023838996,0.0006332111,0.00037273706],"domain_scores_gemma":[0.9947866,0.0022433433,0.00028668597,0.0014485173,0.0010487841,0.00018602305],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006483657,0.00038929138,0.0004704657,0.00032599192,0.0004635022,0.0003827321,0.0013296611,0.0007643179,0.000013147783],"category_scores_gemma":[0.0003277613,0.0003509164,0.00004951122,0.0007039031,0.00030558804,0.0003054006,0.000097115415,0.003485568,0.000016934004],"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":[0.00004813447,0.00006371799,0.00010417478,0.000026771002,0.00011042878,0.0000022884362,0.00022224864,0.00044876177,0.000040687584,0.000023303857,0.99857086,0.00033859603],"study_design_scores_gemma":[0.0007470878,0.00015547858,0.000070693895,0.0011648552,0.000088364955,0.000017741606,0.000051914893,0.003266141,0.000043464526,0.0002194142,0.99375397,0.00042087925],"about_ca_topic_score_codex":0.00006679126,"about_ca_topic_score_gemma":0.001285752,"teacher_disagreement_score":0.03393535,"about_ca_system_score_codex":0.00039951137,"about_ca_system_score_gemma":0.00024849022,"threshold_uncertainty_score":0.99989426},"labels":[],"label_agreement":null},{"id":"W2792336262","doi":"10.1109/jsac.2018.2815430","title":"Virtual Network Survivability Through Joint Spare Capacity Allocation and Embedding","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Backup; Network virtualization; Spare part; Provisioning; Computer network; Heuristic; Survivability; Virtual network; Embedding; Virtualization; Distributed computing; Operating system","score_opus":0.06871606863915283,"score_gpt":0.3032380600002412,"score_spread":0.2345219913610884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792336262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39297283,0.00055191695,0.5977725,0.005363873,0.0011091069,0.00032136615,0.0000054477277,0.00026064532,0.0016423279],"genre_scores_gemma":[0.9418826,0.0006090799,0.056516543,0.0005413318,0.00040014338,0.000015874157,0.00000544406,0.000014317842,0.000014676111],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769485,0.0007325541,0.0005548125,0.00031501584,0.0002969974,0.00040577704],"domain_scores_gemma":[0.9965713,0.0008580177,0.00028754922,0.0015736405,0.00057203457,0.00013743297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011296767,0.00019339904,0.0002657796,0.00011645518,0.00093514303,0.0002865544,0.0013883164,0.00012345628,0.000013363066],"category_scores_gemma":[0.00044490228,0.00018141753,0.0000540182,0.0013259224,0.0002561481,0.0006217698,0.00029149686,0.00090722664,0.000016592163],"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":[0.000335606,0.0037704383,0.1901558,0.00005397635,0.0005819807,0.00003510477,0.030266363,0.09204606,0.0021723849,0.453304,0.05126002,0.17601827],"study_design_scores_gemma":[0.0020524077,0.0013727023,0.35065505,0.000950262,0.00005055777,0.0006116673,0.0002668074,0.52703834,0.0009313921,0.09791883,0.016886298,0.0012656937],"about_ca_topic_score_codex":0.000101471895,"about_ca_topic_score_gemma":0.00073765544,"teacher_disagreement_score":0.5489098,"about_ca_system_score_codex":0.0002097323,"about_ca_system_score_gemma":0.00015351608,"threshold_uncertainty_score":0.73979926},"labels":[],"label_agreement":null},{"id":"W2794194229","doi":"10.1109/jsac.2018.2815418","title":"Efficient and Secure Service-Oriented Authentication Supporting Network Slicing for 5G-Enabled IoT","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":292,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Authentication (law); Server; Computer security; Service (business)","score_opus":0.025550983249116067,"score_gpt":0.304479354533462,"score_spread":0.2789283712843459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794194229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7296665,0.00021544094,0.25801072,0.006723485,0.0034879968,0.0005679728,7.7965393e-7,0.00019849569,0.0011286229],"genre_scores_gemma":[0.94946164,0.000021610427,0.04842308,0.00062398904,0.0013843603,0.00002290032,0.0000074013706,0.000019544403,0.000035444264],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802274,0.00026775274,0.000638266,0.00028712885,0.0002327624,0.0005513629],"domain_scores_gemma":[0.9966915,0.0006995385,0.00046134906,0.00098366,0.001015748,0.00014820801],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013529368,0.00017859369,0.0002239064,0.00026756164,0.0014289988,0.0002730083,0.0013029497,0.00009472337,0.000002475042],"category_scores_gemma":[0.00029262,0.00017243595,0.000051193216,0.0017485667,0.000066729124,0.000121104014,0.00018449084,0.00057793164,0.00000981528],"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":[0.0010593934,0.007087324,0.079478726,0.0006024882,0.001371665,0.00006402791,0.20599888,0.14968479,0.052212354,0.13514186,0.10021564,0.26708284],"study_design_scores_gemma":[0.00072900514,0.00017812566,0.007438632,0.00036127187,0.000019959534,0.000094053634,0.000073019575,0.98188937,0.0005596751,0.0023465927,0.0060719894,0.00023829052],"about_ca_topic_score_codex":0.000022532173,"about_ca_topic_score_gemma":0.00005472486,"teacher_disagreement_score":0.8322046,"about_ca_system_score_codex":0.00015770152,"about_ca_system_score_gemma":0.0002010463,"threshold_uncertainty_score":0.999871},"labels":[],"label_agreement":null},{"id":"W2802828216","doi":"10.1109/jsac.2018.2832784","title":"Two-Color Scheme for a Multi-Beam Satellite Return Link: Impact of Interference Coordination","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Real-time computing; Reuse; Air interface; Interference (communication); Communications satellite; Distributed computing; Computer network; Telecommunications; Satellite; Base station; Mathematical optimization","score_opus":0.08713398167093539,"score_gpt":0.3691420958211742,"score_spread":0.2820081141502388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802828216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96026385,0.0062423437,0.025271108,0.000760839,0.0008867905,0.001677648,0.00010925281,0.0004480745,0.004340118],"genre_scores_gemma":[0.9739885,0.0020726975,0.02351586,0.00002586506,0.00015390874,0.00009444455,0.000042995987,0.000055332875,0.000050415238],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998071,0.00030363022,0.00096933066,0.00015313196,0.0001849817,0.00031794026],"domain_scores_gemma":[0.9955341,0.0008218014,0.00037030905,0.0016747882,0.001476812,0.00012216523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007931346,0.00023611115,0.000371557,0.00056955987,0.00021724465,0.000086247164,0.001623076,0.0001522755,0.000022615],"category_scores_gemma":[0.00050398236,0.0002254076,0.00015973611,0.001177214,0.00017194329,0.00027059074,0.0000791705,0.00078742387,0.000028388571],"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":[0.00086654816,0.0019679463,0.07110633,0.00023491713,0.0014753077,0.000003705448,0.013609217,0.007186647,0.8117657,0.0025667443,0.0026859792,0.086531],"study_design_scores_gemma":[0.006597891,0.0016527844,0.082079515,0.0023072027,0.000088058725,0.00024466752,0.00055937254,0.8215786,0.068021476,0.0008881625,0.014810397,0.0011718577],"about_ca_topic_score_codex":0.000040730756,"about_ca_topic_score_gemma":0.00032331675,"teacher_disagreement_score":0.814392,"about_ca_system_score_codex":0.0006021832,"about_ca_system_score_gemma":0.00016465047,"threshold_uncertainty_score":0.91918546},"labels":[],"label_agreement":null},{"id":"W2806446964","doi":"10.1109/jsac.2018.2844658","title":"Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Cellular traffic; Computer network; Enhanced Data Rates for GSM Evolution; Cache; Network topology; Mobile device; Distributed computing; Cellular network; Mobile computing; Operating system; Telecommunications","score_opus":0.05401710974622137,"score_gpt":0.30357154807563136,"score_spread":0.24955443832941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806446964","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10257701,0.00055516936,0.8947149,0.0013791607,0.00018327363,0.00028452047,9.3989246e-7,0.000080878846,0.00022417489],"genre_scores_gemma":[0.93343467,0.00075278245,0.06459606,0.0010043371,0.00012691895,0.000046223653,0.000003403756,0.000017469385,0.000018162464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99756134,0.000967214,0.0005682258,0.00030357228,0.00023598717,0.00036365716],"domain_scores_gemma":[0.9975078,0.00068084005,0.00013791089,0.0010294239,0.00043794423,0.00020609246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011267904,0.00018076361,0.00023881688,0.00057431514,0.0005833132,0.00034028775,0.0017724179,0.00010025929,0.000003961051],"category_scores_gemma":[0.00021963812,0.00017904109,0.000038490223,0.0015267092,0.000067850706,0.0004678709,0.00022647557,0.0011297752,0.000008690086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030116804,0.00016823661,0.0007245667,0.0000015761323,0.000013484756,0.000005713572,0.0010940237,0.9933981,0.00014516123,0.0004589584,0.0002199031,0.0037401647],"study_design_scores_gemma":[0.0004925848,0.00019631177,0.00044748094,0.00024201784,0.0000067530887,0.000093591625,0.000045542638,0.99763155,0.000021086242,0.0004383978,0.00018751838,0.0001971825],"about_ca_topic_score_codex":0.0001285174,"about_ca_topic_score_gemma":0.0004947319,"teacher_disagreement_score":0.83085763,"about_ca_system_score_codex":0.00019099502,"about_ca_system_score_gemma":0.00020003458,"threshold_uncertainty_score":0.7301084},"labels":[],"label_agreement":null},{"id":"W2885423658","doi":"10.1109/jsac.2018.2864423","title":"Airborne Communication Networks: A Survey","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":336,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; National Science Fund for Distinguished Young Scholars; National Science Foundation","keywords":"Computer science; Quality of service; Telecommunications; Computer network; Wireless network; Wireless","score_opus":0.026396375737121627,"score_gpt":0.27193485462290096,"score_spread":0.24553847888577934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885423658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44977304,0.0066685216,0.4724207,0.0046472726,0.0015832759,0.0018938823,0.00011096846,0.001911874,0.060990486],"genre_scores_gemma":[0.98584694,0.0050522387,0.008550617,0.00014290669,0.00013023932,0.00005511386,0.00013252583,0.000044141194,0.000045283254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985856,0.00039154125,0.0004983923,0.00011727754,0.00014847267,0.0002587451],"domain_scores_gemma":[0.99719137,0.00045290223,0.000120644625,0.0015439504,0.00058992027,0.000101203914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006864227,0.00015942381,0.00017663655,0.00028560864,0.00046241432,0.00011809449,0.0011187193,0.00012190865,0.000061669096],"category_scores_gemma":[0.00013018755,0.00016696204,0.000037112583,0.0016864234,0.00014302335,0.0002099335,0.000053943157,0.00078264956,0.00007582967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015366035,0.0013628509,0.027951438,0.000016966982,0.00030649328,0.0000030138062,0.0017090936,0.826502,0.00097561715,0.0086149955,0.07975196,0.05265188],"study_design_scores_gemma":[0.0006267698,0.00009650081,0.17321792,0.00013627084,0.000018944476,0.000044822496,0.000042603762,0.80999416,0.0002461464,0.0006583089,0.014581406,0.00033614383],"about_ca_topic_score_codex":0.000059289316,"about_ca_topic_score_gemma":0.0021522304,"teacher_disagreement_score":0.5360739,"about_ca_system_score_codex":0.00023393499,"about_ca_system_score_gemma":0.000057900706,"threshold_uncertainty_score":0.68085146},"labels":[],"label_agreement":null},{"id":"W2885828982","doi":"10.1109/jsac.2019.2904352","title":"Spatial Deep Learning for Wireless Scheduling","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":278,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Scheduling (production processes); Maximization; Wireless network; Wireless; Schedule; Artificial neural network; Channel (broadcasting); Distributed computing; Mathematical optimization; Computer network; Artificial intelligence; Telecommunications","score_opus":0.016669491435120077,"score_gpt":0.2678567553149181,"score_spread":0.251187263879798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885828982","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17765892,0.0005000392,0.81855506,0.00012939384,0.00061415345,0.0004943671,0.0000028569827,0.00024407844,0.0018011595],"genre_scores_gemma":[0.9750921,0.0005442795,0.024023028,0.000019378549,0.000119041564,0.000050422423,0.000027428692,0.000058412494,0.00006591219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989958,0.00011956256,0.00041373624,0.00010919618,0.000112486676,0.00024921034],"domain_scores_gemma":[0.99861336,0.0004332151,0.00013236498,0.0004903401,0.0002644743,0.00006627635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002467983,0.00014025031,0.00020657013,0.00025248824,0.00020463743,0.00006099725,0.00047412852,0.00009963262,0.00001689102],"category_scores_gemma":[0.00014566975,0.0001538838,0.000051448973,0.0004455731,0.000017678614,0.0002156806,0.00002260211,0.0008489612,0.000035239904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016459542,0.000036081412,0.0023852282,0.00001865509,0.000027344091,5.089795e-7,0.00026206367,0.98299277,0.00615885,0.0002477154,0.00001915688,0.007835184],"study_design_scores_gemma":[0.0007577773,0.00006673353,0.00079143845,0.00022121941,0.000009827403,0.000032482254,0.00013225373,0.9950751,0.0011737003,0.00015596258,0.0013924212,0.00019107302],"about_ca_topic_score_codex":0.0000070843475,"about_ca_topic_score_gemma":0.0001236167,"teacher_disagreement_score":0.7974332,"about_ca_system_score_codex":0.00027920125,"about_ca_system_score_gemma":0.000040828403,"threshold_uncertainty_score":0.6275199},"labels":[],"label_agreement":null},{"id":"W2888231574","doi":"10.1109/jsac.2018.2871313","title":"Tennison: A Distributed SDN Framework for Scalable Network Security","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast; Lancaster University","keywords":"Computer science; Scalability; Computer network; Distributed computing; Network security; Computer security; Operating system","score_opus":0.033473410240919196,"score_gpt":0.30980618417921574,"score_spread":0.2763327739382965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888231574","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044542383,0.00084272504,0.98581815,0.0064970814,0.0009841283,0.00037147876,0.000025341744,0.00025323383,0.0007536265],"genre_scores_gemma":[0.80307746,0.0005283923,0.19405778,0.0011300492,0.0010377979,0.000086112144,0.000027909568,0.000025847785,0.000028650398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977748,0.00037052168,0.0005793599,0.00031800708,0.00028768106,0.0006696433],"domain_scores_gemma":[0.9944723,0.0021076603,0.00033264747,0.0020191958,0.0008468831,0.00022128207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008491547,0.00022578191,0.00032055163,0.00016188585,0.0012127251,0.00039824864,0.0032008586,0.00021897533,0.000023007091],"category_scores_gemma":[0.00054651516,0.00020760905,0.00012267205,0.0025820418,0.00016562997,0.00034274717,0.00027580126,0.001180486,0.00003855538],"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":[0.00036534262,0.0023458872,0.02383526,0.000024880652,0.00031760128,0.000025213547,0.0022407542,0.008797666,0.0000650707,0.693879,0.23847632,0.029626995],"study_design_scores_gemma":[0.0017219848,0.0009929822,0.012585335,0.0008662516,0.00004398142,0.00025989334,0.00004316748,0.2987308,0.00019772457,0.5493653,0.13442469,0.0007679159],"about_ca_topic_score_codex":0.000015149179,"about_ca_topic_score_gemma":0.00015289009,"teacher_disagreement_score":0.7986232,"about_ca_system_score_codex":0.00020477596,"about_ca_system_score_gemma":0.00026197638,"threshold_uncertainty_score":0.9327423},"labels":[],"label_agreement":null},{"id":"W2888360891","doi":"10.1109/jsac.2018.2864418","title":"Cooperative UAV Cluster-Assisted Terrestrial Cellular Networks for Ubiquitous Coverage","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Stochastic geometry; Cache; Cluster analysis; Base station; Poisson distribution; Cellular network; Real-time computing; Computer network; Algorithm; Artificial intelligence; Mathematics; Statistics","score_opus":0.023563081763297362,"score_gpt":0.2710402188204206,"score_spread":0.24747713705712326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888360891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084789865,0.0004091759,0.9077932,0.00071630534,0.0009917038,0.0010256636,0.000041739728,0.00025402926,0.003978276],"genre_scores_gemma":[0.9895643,0.00074642675,0.008438399,0.00014253579,0.0006843346,0.0001682426,0.00013515008,0.00004960856,0.000071016875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879295,0.00015933487,0.0005015872,0.00014193481,0.00012324375,0.00028095985],"domain_scores_gemma":[0.9982682,0.0004149429,0.00012475238,0.00072511245,0.00036684048,0.000100163634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661549,0.00017934924,0.00020997327,0.00020886902,0.00052592735,0.00015287146,0.0006264319,0.0001526465,0.000027949181],"category_scores_gemma":[0.00009745542,0.00017962772,0.00006255305,0.0008077673,0.00008867626,0.00016164241,0.000032835098,0.0005663759,0.000015496993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027243872,0.000627467,0.000287515,0.000011370671,0.00019741563,0.0000026983262,0.0007203673,0.9481979,0.00714701,0.001230447,0.023524232,0.01778112],"study_design_scores_gemma":[0.0017478608,0.00026388833,0.0009293709,0.00009452269,0.00003818223,0.000032393335,0.000032544336,0.9721538,0.0017952557,0.00024310997,0.022393662,0.00027544447],"about_ca_topic_score_codex":0.000010209405,"about_ca_topic_score_gemma":0.00029547044,"teacher_disagreement_score":0.9047744,"about_ca_system_score_codex":0.00025643478,"about_ca_system_score_gemma":0.00008463807,"threshold_uncertainty_score":0.7325006},"labels":[],"label_agreement":null},{"id":"W2892518380","doi":"10.1109/jsac.2018.2872366","title":"Simultaneous Wireless Information and Power Transfer at 5G New Frequencies: Channel Measurement and Network Design","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Maximum power transfer theorem; Network architecture; Wireless; Information transfer; Throughput; Channel (broadcasting); Computer network; Electronic engineering; Telecommunications; Power (physics); Engineering","score_opus":0.031039122912560464,"score_gpt":0.23126472898167416,"score_spread":0.2002256060691137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892518380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53594244,0.006292968,0.44980222,0.0012276579,0.0011775248,0.00079889456,0.000010336046,0.00065628206,0.00409167],"genre_scores_gemma":[0.99141,0.003271683,0.004882573,0.00017345877,0.00018894981,0.000015870371,0.0000056967538,0.000033975168,0.00001779539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855334,0.00020570245,0.00049501396,0.000108657325,0.00028560782,0.00035169534],"domain_scores_gemma":[0.9983062,0.0005754461,0.00007264417,0.00047907972,0.00036643146,0.00020018105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056909764,0.00021377522,0.0002210251,0.00016690046,0.00043974686,0.0001390339,0.0004003384,0.00015227962,0.000011947624],"category_scores_gemma":[0.00017257719,0.00021417592,0.00002425285,0.0005200459,0.00013455765,0.00034006432,0.00003218976,0.00066738285,0.000008636037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007291633,0.000045571043,0.00032167227,0.000016693077,0.00011574879,0.0000055240826,0.0030449627,0.9789843,0.0020771232,0.00036927976,0.0040022945,0.010943942],"study_design_scores_gemma":[0.0016600699,0.0004620275,0.0032311466,0.0012351886,0.00006236667,0.00047371374,0.00014293603,0.9772499,0.0022637965,0.0011112439,0.011373384,0.00073421025],"about_ca_topic_score_codex":0.000028107854,"about_ca_topic_score_gemma":0.0005852027,"teacher_disagreement_score":0.45546755,"about_ca_system_score_codex":0.00037157067,"about_ca_system_score_gemma":0.00009894128,"threshold_uncertainty_score":0.873384},"labels":[],"label_agreement":null},{"id":"W2896162194","doi":"10.1109/jsac.2018.2853242","title":"Corrections to “Control Link Load Balancing and Low Delay Route Deployment for Software Defined Networks” [Nov 17 2446-2456]","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Computer science; Software deployment; Software; Link (geometry); Algorithm; Computer network; Operating system","score_opus":0.01895787585442206,"score_gpt":0.2709673429063518,"score_spread":0.2520094670519298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896162194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016518837,0.00086646166,0.97434574,0.0059612812,0.0012004434,0.0006464029,0.000018074745,0.0003000047,0.00014275104],"genre_scores_gemma":[0.8644758,0.00051090255,0.13033558,0.003525346,0.00075018546,0.00021296494,0.000012736025,0.000046943114,0.00012951897],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976312,0.00028974548,0.00069279486,0.0004207826,0.0003194047,0.0006460855],"domain_scores_gemma":[0.99470305,0.002025678,0.00030757175,0.0015024985,0.0011056117,0.00035559112],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00083494297,0.0002935805,0.00037940158,0.00033825176,0.0013046751,0.0004472965,0.001775777,0.00016772932,0.0000075184234],"category_scores_gemma":[0.00073227205,0.00028078142,0.0001115406,0.001556048,0.00009695179,0.00035751215,0.00023805973,0.0008476846,0.000016970436],"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":[0.0009065265,0.0019740658,0.08221034,0.000036463865,0.00075816526,0.000045465877,0.0044679157,0.23736651,0.00073332223,0.007771383,0.13083073,0.5328991],"study_design_scores_gemma":[0.004371386,0.0016121807,0.045276385,0.00090669777,0.00010709152,0.00047520828,0.00004134132,0.89947057,0.00015167368,0.00332865,0.04326953,0.0009892922],"about_ca_topic_score_codex":0.000071997354,"about_ca_topic_score_gemma":0.0017133837,"teacher_disagreement_score":0.84795696,"about_ca_system_score_codex":0.00046547363,"about_ca_system_score_gemma":0.000418461,"threshold_uncertainty_score":0.99999547},"labels":[],"label_agreement":null},{"id":"W2901543935","doi":"10.1109/jsac.2018.2874144","title":"A Novel Distributed Antenna Access Architecture for 5G Indoor Service Provisioning","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Distributed antenna system; Antenna (radio); Provisioning; Computer network; Transmission (telecommunications); Electronic engineering; Telecommunications","score_opus":0.04554090190730028,"score_gpt":0.3216840224252611,"score_spread":0.27614312051796086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901543935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4386658,0.00188681,0.5315951,0.018020792,0.0012351198,0.0020912597,0.00067320233,0.001007551,0.0048243357],"genre_scores_gemma":[0.9835356,0.00041260512,0.015160919,0.00035362545,0.00019639563,0.00012935365,0.00014303518,0.00005485055,0.000013618822],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986512,0.00011388572,0.0005479975,0.00015266963,0.00016287701,0.00037138382],"domain_scores_gemma":[0.9966719,0.0006121312,0.00015434626,0.0015749031,0.0008442029,0.00014249557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035776576,0.00021923751,0.0002473064,0.00039011703,0.0006111888,0.00021889531,0.002497854,0.000120625846,0.000015137521],"category_scores_gemma":[0.00034050076,0.00020593985,0.00007330932,0.0016673155,0.00008505388,0.00028501282,0.000118426826,0.0010829042,0.000012536993],"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":[0.002284842,0.010835528,0.02717696,0.00075514097,0.0024584818,0.00002472727,0.01691185,0.17548278,0.5704768,0.008258634,0.051915538,0.13341877],"study_design_scores_gemma":[0.005852435,0.0005833731,0.06295531,0.0020723117,0.00013187151,0.0005417046,0.00025332984,0.75735503,0.01220954,0.0033477943,0.15322064,0.0014766773],"about_ca_topic_score_codex":0.000033884768,"about_ca_topic_score_gemma":0.0010235838,"teacher_disagreement_score":0.5818722,"about_ca_system_score_codex":0.00019276963,"about_ca_system_score_gemma":0.00014993275,"threshold_uncertainty_score":0.83979833},"labels":[],"label_agreement":null},{"id":"W2901752053","doi":"10.1109/jsac.2018.2871519","title":"Guest Editorial Airborne Communication Networks","year":2018,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","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":"Carleton University","funders":"","keywords":"Dissemination; Computer science; Field (mathematics); Telecommunications; Telecommunications network; Computer network; Data science","score_opus":0.009194278499705938,"score_gpt":0.2573511782719799,"score_spread":0.24815689977227395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901752053","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000060172777,0.0018108329,0.003996059,0.00022382347,0.9888327,0.00046421078,0.00011154738,0.00041617185,0.004084488],"genre_scores_gemma":[0.0050619035,0.030393813,0.0032079965,0.00002392602,0.95856476,0.00022266636,0.0022010047,0.00019078041,0.00013313189],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967816,0.00047671673,0.0011811445,0.00030714492,0.00075028586,0.000503097],"domain_scores_gemma":[0.99249613,0.0017292928,0.00048309355,0.0032475474,0.0018455889,0.00019835458],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0009330603,0.00050702656,0.0005596154,0.0006144903,0.0006930924,0.00036636362,0.0030241807,0.001491134,0.000041672123],"category_scores_gemma":[0.0006215299,0.0005525977,0.00013516826,0.0015533204,0.0002117435,0.00031163183,0.00015665968,0.005308893,0.00011550129],"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":[0.000026869093,0.00017772798,0.000009756274,0.000012081783,0.00008747853,8.141243e-7,0.00009714189,0.039567504,0.000011307383,0.000054816504,0.95944417,0.0005103124],"study_design_scores_gemma":[0.0006814392,0.00008939819,0.00005785712,0.00044402684,0.00007592828,0.000008010026,0.000015577953,0.044640873,0.000018989911,0.00018588117,0.953287,0.0004950067],"about_ca_topic_score_codex":0.000046938312,"about_ca_topic_score_gemma":0.0006672306,"teacher_disagreement_score":0.030267917,"about_ca_system_score_codex":0.0009757168,"about_ca_system_score_gemma":0.00037554972,"threshold_uncertainty_score":0.99980515},"labels":[],"label_agreement":null},{"id":"W2911405393","doi":"10.1109/jsac.2019.2898786","title":"Interference Mitigation for Ultrareliable Low-Latency Wireless Communication","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Nokia","keywords":"Single antenna interference cancellation; Wireless; Fading; Bandwidth (computing); Telecommunications link; Scalability; Power control; Antenna diversity; Interference (communication); Wireless network","score_opus":0.023038368523198592,"score_gpt":0.2923211005685652,"score_spread":0.2692827320453666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911405393","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3957556,0.0010863517,0.5599776,0.0147940405,0.0014934184,0.013720038,0.000034274453,0.0005515066,0.012587149],"genre_scores_gemma":[0.9739191,0.0006928473,0.023702402,0.00035130387,0.000057203273,0.0010318247,0.000032039854,0.000021955557,0.00019134168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796534,0.00048469284,0.0006621493,0.0002709283,0.0002465994,0.00037028248],"domain_scores_gemma":[0.99528664,0.0011257175,0.00043277696,0.0023458353,0.0006913298,0.00011767178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008043806,0.00019714121,0.00027964666,0.00027581828,0.00045375223,0.00037874022,0.0039171954,0.00014195403,0.00002152056],"category_scores_gemma":[0.00009341269,0.00018965776,0.00009203686,0.0010855922,0.00006426437,0.0008333815,0.00017874032,0.0009474537,0.000058037363],"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":[0.00073690055,0.0053906646,0.044974353,0.00035367368,0.00038806675,0.000011828301,0.009065324,0.04553742,0.039778247,0.56557065,0.026597993,0.26159486],"study_design_scores_gemma":[0.00445053,0.0011302802,0.019001173,0.0038339535,0.000025252559,0.00016304516,0.00017423257,0.89282835,0.009794989,0.051603034,0.015842084,0.001153084],"about_ca_topic_score_codex":0.00002400077,"about_ca_topic_score_gemma":0.00008283377,"teacher_disagreement_score":0.84729093,"about_ca_system_score_codex":0.00021228263,"about_ca_system_score_gemma":0.00026673177,"threshold_uncertainty_score":0.77340186},"labels":[],"label_agreement":null},{"id":"W2912731102","doi":"10.1109/jsac.2019.2895226","title":"Network Function Virtualization-Aware Orchestrator for Service Function Chaining Placement in the Cloud","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Chaining; Cloud computing; Quality of service; Distributed computing; Orchestration; Virtualization; Integer programming; Greedy algorithm; Server; Computer network; Network Functions Virtualization; Service (business); Software-defined networking; Virtual network; Operating system; Algorithm","score_opus":0.041927887042795126,"score_gpt":0.27814228451103823,"score_spread":0.2362143974682431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912731102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06610257,0.0006744685,0.91885304,0.009198934,0.002555948,0.00135765,0.0000064139736,0.00019443795,0.0010565526],"genre_scores_gemma":[0.9912341,0.00016894311,0.0035087126,0.0043868637,0.00044237648,0.00015130095,0.00004578732,0.000020452262,0.000041411084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795765,0.00059078506,0.00052822934,0.00024463623,0.00031588058,0.00036284895],"domain_scores_gemma":[0.99647796,0.0015700153,0.00030703843,0.0011847679,0.00039820417,0.00006203018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013640617,0.00017463315,0.0001930766,0.00020198563,0.0004937059,0.00026608395,0.001623216,0.00011757971,0.000012851412],"category_scores_gemma":[0.00009290946,0.0001431661,0.00005535854,0.0024080102,0.000018037428,0.00037905734,0.000092623806,0.00076524547,0.000024681036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067037734,0.0011165258,0.033562616,0.000045547815,0.00014881758,0.0000050796766,0.005417547,0.7724939,0.00019802806,0.1468152,0.023689318,0.015837027],"study_design_scores_gemma":[0.0042849234,0.0017519993,0.07263813,0.0008620134,0.00006699927,0.000119091215,0.0013285268,0.83628696,0.000022515334,0.027410053,0.054460153,0.00076860224],"about_ca_topic_score_codex":0.000020627182,"about_ca_topic_score_gemma":0.00035458765,"teacher_disagreement_score":0.92513156,"about_ca_system_score_codex":0.00018712676,"about_ca_system_score_gemma":0.00022632169,"threshold_uncertainty_score":0.5838144},"labels":[],"label_agreement":null},{"id":"W2913775178","doi":"10.1109/jsac.2019.2894305","title":"Distributed Resource Allocation Optimization in 5G Virtualized Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Resource allocation; Distributed computing; Cloud computing; Resource management (computing); Virtualization; Virtual network; Heuristic; Optimization problem; Convergence (economics); Slicing; Function (biology); Virtual machine; Software deployment; Computer network; Algorithm","score_opus":0.0177474138264852,"score_gpt":0.2603358758632311,"score_spread":0.2425884620367459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913775178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025112156,0.000673017,0.9669761,0.004620534,0.00043344815,0.00047901907,0.0000050234785,0.00021270193,0.0014880009],"genre_scores_gemma":[0.9786677,0.00097566895,0.019475643,0.00057788636,0.00007457461,0.000034591463,0.00011317628,0.000022639568,0.00005813965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975755,0.00075794605,0.0006848501,0.0002899563,0.0003106705,0.00038107726],"domain_scores_gemma":[0.9966686,0.0009554045,0.000346335,0.0016203717,0.0002924133,0.00011689505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008090346,0.00019102654,0.00027738637,0.0004300755,0.00023305615,0.0002570329,0.0021778387,0.00017035827,0.000022554917],"category_scores_gemma":[0.0002461568,0.0001904223,0.00006338157,0.00297339,0.000041765605,0.00048880605,0.00014278122,0.0011122897,0.000024507042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041072104,0.0002735381,0.005756952,0.0000018611515,0.000015191633,0.00000393905,0.00021778357,0.9822963,0.00003826325,0.0048806663,0.0013123588,0.0051620984],"study_design_scores_gemma":[0.0012377902,0.00010808583,0.016989382,0.00021283787,0.0000056972526,0.000048079717,0.000031293977,0.9765864,0.000026043796,0.00055785256,0.003964826,0.00023171461],"about_ca_topic_score_codex":0.00003896879,"about_ca_topic_score_gemma":0.00013070185,"teacher_disagreement_score":0.9535555,"about_ca_system_score_codex":0.00034257976,"about_ca_system_score_gemma":0.00016113663,"threshold_uncertainty_score":0.7765196},"labels":[],"label_agreement":null},{"id":"W2921833176","doi":"10.1109/jsac.2019.2906791","title":"Cloud-Edge Coordinated Processing: Low-Latency Multicasting Transmission","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Computer science; Cache; Computer network; Latency (audio); Cloud computing; Multicast; Baseband; Transmission (telecommunications); Enhanced Data Rates for GSM Evolution; Data transmission; Distributed computing; Operating system; Bandwidth (computing); Telecommunications","score_opus":0.029403774276318823,"score_gpt":0.27966179202223246,"score_spread":0.2502580177459136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921833176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84769404,0.0014670179,0.13730063,0.006140908,0.00092993473,0.0004902041,0.0000031064908,0.0004364423,0.005537739],"genre_scores_gemma":[0.9944955,0.00021373191,0.0047213994,0.00024114609,0.00005483597,0.000008997013,0.0000039412616,0.000017739867,0.00024272563],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998165,0.00039699688,0.0005249248,0.0002659238,0.00029581308,0.00035134645],"domain_scores_gemma":[0.99764466,0.00037532835,0.00024856618,0.0010858135,0.000488645,0.00015699524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053181185,0.00018329409,0.00023780788,0.00035144962,0.0004766949,0.00028923023,0.0023032648,0.00010308926,0.000014569663],"category_scores_gemma":[0.00012229549,0.000164176,0.00008591403,0.0013113376,0.000042747615,0.00052598584,0.00012218392,0.0012873106,0.00007624058],"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":[0.0004054373,0.005008329,0.022140237,0.00015545501,0.00018834516,0.00015404649,0.008986609,0.0147570055,0.18180996,0.009374071,0.0025604554,0.75446004],"study_design_scores_gemma":[0.0016792208,0.00028598472,0.005605625,0.0011816388,0.000016243526,0.00032623933,0.000095642186,0.98607254,0.0013833453,0.00078209396,0.0021435886,0.00042785666],"about_ca_topic_score_codex":0.000024781288,"about_ca_topic_score_gemma":0.000012406012,"teacher_disagreement_score":0.9713155,"about_ca_system_score_codex":0.00016784287,"about_ca_system_score_gemma":0.00024006325,"threshold_uncertainty_score":0.6694903},"labels":[],"label_agreement":null},{"id":"W2946574388","doi":"10.1109/jsac.2019.2916280","title":"Economically Optimal MS Association for Multimedia Content Delivery in Cache-Enabled Heterogeneous Cloud Radio Access Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Cache; Computer network; Cloud computing; Quality of service; Radio access network; Wireless network; Wireless; Base station; Mobile station; Telecommunications; Operating system","score_opus":0.04163894882783781,"score_gpt":0.273207789333327,"score_spread":0.2315688405054892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946574388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97083205,0.0005941843,0.024388755,0.0018899073,0.0012414721,0.0006702935,0.000011335127,0.00008567238,0.00028632054],"genre_scores_gemma":[0.99452496,0.00078334473,0.003719755,0.00050211564,0.00016548096,0.000070630944,0.000024651192,0.00002142663,0.0001876189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99767953,0.00054128846,0.00074801757,0.00032069354,0.00022216741,0.0004883264],"domain_scores_gemma":[0.9961726,0.0016869591,0.0004977401,0.001040766,0.00046108707,0.00014086041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010908076,0.00020626593,0.00038426367,0.00037521575,0.00023312656,0.0004918004,0.00277003,0.00018618001,0.000008393488],"category_scores_gemma":[0.00025406273,0.00021197084,0.0001629495,0.0005185172,0.000024811632,0.0006607028,0.00024063113,0.0010703871,0.000021049094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005247717,0.0015154048,0.11435266,0.000015708481,0.00038685254,0.000028532291,0.0010543877,0.86020297,0.003774038,0.0012644598,0.0031301738,0.013750019],"study_design_scores_gemma":[0.002469008,0.00018117981,0.018208127,0.00013450361,0.000016609318,0.000059268583,0.00002393796,0.9775372,0.00020839323,0.00013372171,0.0007418365,0.0002862185],"about_ca_topic_score_codex":0.00021996735,"about_ca_topic_score_gemma":0.00070884445,"teacher_disagreement_score":0.1173342,"about_ca_system_score_codex":0.0012284289,"about_ca_system_score_gemma":0.00025467607,"threshold_uncertainty_score":0.864392},"labels":[],"label_agreement":null},{"id":"W2962718958","doi":"10.1109/jsac.2018.2844638","title":"Optimized Base-Station Cache Allocation for Cloud Radio Access Network With Multicast Backhaul","year":2018,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Backhaul (telecommunications); Computer science; Computer network; Multicast; Cache; Base station; Radio access network; Distributed computing; Mobile station","score_opus":0.06321244226432866,"score_gpt":0.31924059348996614,"score_spread":0.2560281512256375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962718958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034604926,0.0001717914,0.9569965,0.0061478103,0.0005179741,0.0006575104,0.000008961203,0.00015095997,0.0007435411],"genre_scores_gemma":[0.89927846,0.00015325242,0.09921213,0.0006567443,0.00044445804,0.00011334391,0.00004193661,0.000021864249,0.00007779371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817806,0.0004995654,0.00044604833,0.0002625606,0.0002697087,0.00034407235],"domain_scores_gemma":[0.9964315,0.0009142482,0.00033055127,0.0012638358,0.0009301915,0.00012963683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007827729,0.00017581474,0.00021752366,0.00023362791,0.00077898224,0.00048475064,0.00226769,0.00007924308,0.0000066111284],"category_scores_gemma":[0.00017404613,0.00015327985,0.000066599205,0.0011154305,0.000108908825,0.00071831373,0.000116308445,0.0005582047,0.00001155585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049701934,0.005703868,0.009201193,0.000083007675,0.001226019,0.000054571134,0.010125403,0.5872759,0.007935965,0.06512655,0.14902715,0.15927015],"study_design_scores_gemma":[0.0031459453,0.00058470404,0.003959735,0.00033184918,0.00004296727,0.00016037475,0.00007581343,0.98537564,0.0004856092,0.0010958405,0.0043711485,0.0003703714],"about_ca_topic_score_codex":0.000047496585,"about_ca_topic_score_gemma":0.0003185009,"teacher_disagreement_score":0.86467355,"about_ca_system_score_codex":0.00022448142,"about_ca_system_score_gemma":0.00028090805,"threshold_uncertainty_score":0.6250571},"labels":[],"label_agreement":null},{"id":"W2963336322","doi":"10.1109/jsac.2017.2725519","title":"A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":2398,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Noma; Computer science; Context (archaeology); Wireless; Computer network; Low latency (capital markets); Throughput; Telecommunications; Wireless network; Key (lock); Computer security; Telecommunications link","score_opus":0.1967780088224745,"score_gpt":0.4161986754228624,"score_spread":0.21942066660038786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963336322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78028387,0.09199953,0.019895934,0.065162376,0.0032041946,0.0036179253,0.00053471274,0.0025404075,0.03276107],"genre_scores_gemma":[0.8946198,0.10334332,0.0015530407,0.000020342899,0.00016309404,0.0001838118,0.00004192577,0.00004944378,0.000025189405],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99837136,0.00035929392,0.00039834034,0.00020455055,0.0002416091,0.00042486918],"domain_scores_gemma":[0.9936066,0.0026298838,0.00019357208,0.0029435984,0.0005230895,0.000103212675],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012340003,0.00021102098,0.00029445128,0.00066310284,0.0014324341,0.00029793303,0.0036743488,0.00023372639,0.000003866024],"category_scores_gemma":[0.00090803794,0.00020513474,0.000050668918,0.00039797547,0.00028876774,0.00041840298,0.00023567559,0.002154245,0.0000024064273],"study_design_candidate":"design_other","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":[0.000258386,0.00052461267,0.010334438,0.00003981541,0.00018019685,0.0000050615413,0.0007695462,0.07869876,0.0002764271,0.0037841268,0.0046431897,0.90048546],"study_design_scores_gemma":[0.0013817967,0.00021543347,0.8375871,0.0003217945,0.0000066767716,0.000017749142,0.00021244856,0.14402841,0.00045253674,0.0020219362,0.01337795,0.00037611328],"about_ca_topic_score_codex":0.000018083438,"about_ca_topic_score_gemma":0.0032888786,"teacher_disagreement_score":0.90010935,"about_ca_system_score_codex":0.00018434235,"about_ca_system_score_gemma":0.00004748041,"threshold_uncertainty_score":0.99986756},"labels":[],"label_agreement":null},{"id":"W2964218543","doi":"10.1109/jsac.2017.2698958","title":"Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":486,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Computer science; Baseband; MIMO; Electronic engineering; WSDMA; Transmitter; Spectral efficiency; Orthogonal frequency-division multiplexing; Precoding; Broadband; Multiplexing; Radio frequency; Antenna (radio); Telecommunications; Bandwidth (computing); Engineering; Channel (broadcasting)","score_opus":0.03551198410412842,"score_gpt":0.2804411348638237,"score_spread":0.2449291507596953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964218543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35553467,0.0003488002,0.6396855,0.0005667731,0.0002359494,0.00026417134,0.00010577612,0.00009434136,0.0031640278],"genre_scores_gemma":[0.9870652,0.0011106534,0.011522485,0.000064990876,0.00009090782,0.000023420846,0.000037074322,0.000032833188,0.00005242288],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908423,0.000029533967,0.00037138734,0.0001190535,0.00011695043,0.00027882046],"domain_scores_gemma":[0.9985879,0.00015682235,0.00014579069,0.0007779407,0.00021040486,0.00012114307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002939646,0.00014644614,0.00019768822,0.00020494236,0.00083725346,0.00038125712,0.00058405055,0.000054649834,0.000005592445],"category_scores_gemma":[0.00021710787,0.00014516141,0.00006307399,0.0000794486,0.00005613607,0.0004622787,0.000061906336,0.0005147122,0.0000045814822],"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":[0.00071270484,0.0037473848,0.048510097,0.0006873597,0.002249208,0.000087188055,0.018318009,0.10973939,0.44594368,0.0038633728,0.014659715,0.35148188],"study_design_scores_gemma":[0.0012426974,0.000092664384,0.0016151904,0.00027352155,0.000030444184,0.00018899151,0.00017884234,0.98258245,0.006204025,0.0022210428,0.005036646,0.0003334836],"about_ca_topic_score_codex":0.000003583623,"about_ca_topic_score_gemma":0.00008894117,"teacher_disagreement_score":0.8728431,"about_ca_system_score_codex":0.00008605346,"about_ca_system_score_gemma":0.0000359327,"threshold_uncertainty_score":0.6439561},"labels":[],"label_agreement":null},{"id":"W2964273215","doi":"10.1109/jsac.2019.2929454","title":"Optimum Low-Complexity Decoder for Spatial Modulation","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoding methods; Reduction (mathematics); Spatial modulation; Probabilistic logic; Computational complexity theory; Channel (broadcasting); Imperfect; MIMO","score_opus":0.03961771189365694,"score_gpt":0.29759779299175826,"score_spread":0.25798008109810133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964273215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53692573,0.00059788226,0.45524198,0.0016878208,0.0006047572,0.0010704538,0.000042509175,0.001008243,0.0028206194],"genre_scores_gemma":[0.95149857,0.0010240758,0.047137845,0.00005218315,0.000041149,0.00010453816,0.000055900964,0.00005011076,0.000035611345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877036,0.00010561522,0.00052124,0.00014185924,0.00016740667,0.00029352386],"domain_scores_gemma":[0.997195,0.00055845664,0.00015668085,0.0017233364,0.000307337,0.000059201247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022774987,0.0001888014,0.00025184875,0.00038009448,0.00023056995,0.00006305312,0.0014285325,0.00015397619,0.00003918622],"category_scores_gemma":[0.00018104917,0.00020204906,0.000073391675,0.0005784344,0.00009003486,0.00029369298,0.00008677902,0.00092333654,0.000050502862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006320325,0.00028813328,0.0028756491,0.000041090538,0.00006534293,6.713459e-7,0.00025236057,0.93097395,0.013903267,0.0071324375,0.0007466693,0.043657236],"study_design_scores_gemma":[0.001233316,0.00009890983,0.020020626,0.0001840101,0.000008731054,0.000024213394,0.00009892978,0.9537641,0.0060180565,0.014587941,0.0035799511,0.00038122036],"about_ca_topic_score_codex":0.0000079539905,"about_ca_topic_score_gemma":0.00016087317,"teacher_disagreement_score":0.41457286,"about_ca_system_score_codex":0.0003693073,"about_ca_system_score_gemma":0.00005423863,"threshold_uncertainty_score":0.8239322},"labels":[],"label_agreement":null},{"id":"W2967101352","doi":"10.1109/jsac.2019.2933954","title":"Deep Learning-Based Decoding of Constrained Sequence Codes","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Error Correcting Code Techniques","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Decoding methods; Convolutional code; Sequential decoding; Algorithm; List decoding; Convolutional neural network; Throughput; Serial concatenated convolutional codes; Bit error rate; Concatenated error correction code; Block code; Artificial intelligence; Wireless; Telecommunications","score_opus":0.041384693533824936,"score_gpt":0.3216702355624585,"score_spread":0.28028554202863354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967101352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46255806,0.0002474522,0.5272096,0.002694442,0.00043161178,0.00046526812,0.0000027540527,0.00062913966,0.005761698],"genre_scores_gemma":[0.880018,0.00011785394,0.11966583,0.00013654986,0.000009619467,0.0000105702975,0.0000028836544,0.000013066789,0.000025630763],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800247,0.0006657962,0.00054561195,0.00020685996,0.00030874053,0.0002705248],"domain_scores_gemma":[0.9958649,0.0016250588,0.00050358014,0.001339574,0.0005828447,0.00008402637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009229919,0.00015331658,0.00027265953,0.000501773,0.00022051638,0.0001008701,0.0027325246,0.0000918915,0.00001764016],"category_scores_gemma":[0.0006827159,0.00015464363,0.00007794531,0.0013455211,0.000118692325,0.0002934875,0.00013612809,0.0012476413,0.00001817762],"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":[0.00018917788,0.0024460377,0.30947244,0.0001279491,0.00023496745,0.0000762017,0.007080444,0.19719018,0.3254515,0.06359101,0.00071530725,0.09342478],"study_design_scores_gemma":[0.0006565911,0.0004542511,0.0050330106,0.00062733295,0.000009841858,0.00019205938,0.0000981617,0.96651524,0.02371356,0.0019112383,0.00047647266,0.00031222656],"about_ca_topic_score_codex":0.000037862163,"about_ca_topic_score_gemma":0.00016894369,"teacher_disagreement_score":0.7693251,"about_ca_system_score_codex":0.0002172517,"about_ca_system_score_gemma":0.0003598845,"threshold_uncertainty_score":0.6306184},"labels":[],"label_agreement":null},{"id":"W2967528569","doi":"10.1109/jsac.2019.2934004","title":"Decision Directed Channel Estimation Based on Deep Neural Network $k$ -Step Predictor for MIMO Communications in 5G","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Computer science; Fading; Algorithm; Decoding methods; Channel (broadcasting); Space–time block code; Doppler effect; Artificial neural network; Block code; Real-time computing; Electronic engineering; Telecommunications; Machine learning","score_opus":0.02443246724516801,"score_gpt":0.3002353974369793,"score_spread":0.2758029301918113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967528569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15534632,0.00439098,0.8134521,0.005355687,0.001838053,0.007056828,0.00017972605,0.0038424172,0.008537861],"genre_scores_gemma":[0.84951967,0.0014879578,0.14785315,0.0002084359,0.00005194963,0.0005440108,0.00022245533,0.00009796786,0.000014387239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972325,0.00056298234,0.0010919638,0.00026063787,0.00034104733,0.00051087013],"domain_scores_gemma":[0.99112576,0.003964433,0.00032621913,0.0040100696,0.00043043282,0.00014307779],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007466412,0.00035677335,0.00047156637,0.00084428774,0.00040295778,0.00010562259,0.0029025013,0.00025081847,0.000018321485],"category_scores_gemma":[0.0005381175,0.0003860365,0.00012553085,0.0018669956,0.00010223628,0.00040273857,0.00012413776,0.0017460377,0.000024198154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001468229,0.0004162036,0.0014466369,0.000021161524,0.000025486237,7.9222303e-7,0.00016405123,0.9696474,0.00039937606,0.00085614633,0.0009635303,0.025912406],"study_design_scores_gemma":[0.0014287649,0.00018999656,0.011337703,0.00071913574,0.000015073534,0.000010819793,0.000031631036,0.9807517,0.0003098894,0.0026034298,0.0022551133,0.0003467753],"about_ca_topic_score_codex":0.000017626999,"about_ca_topic_score_gemma":0.0007634161,"teacher_disagreement_score":0.6941734,"about_ca_system_score_codex":0.00076516956,"about_ca_system_score_gemma":0.00009132061,"threshold_uncertainty_score":0.99985915},"labels":[],"label_agreement":null},{"id":"W2988567901","doi":"10.1109/jsac.2019.2951989","title":"Decentralized PEV Power Allocation With Power Distribution and Transportation Constraints","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Kernel density estimation; Electric vehicle; Scalability; Mathematical optimization; Grid; Scheduling (production processes); Plug-in; Power (physics); Mathematics","score_opus":0.005887803986968835,"score_gpt":0.21933849906264666,"score_spread":0.21345069507567782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988567901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99127614,0.00034585854,0.006674323,0.000424563,0.000100365025,0.00023111307,0.000034211786,0.00007641255,0.0008370306],"genre_scores_gemma":[0.9972576,0.0009524415,0.001554045,0.000058841528,0.000009390506,0.000008173837,0.00012904106,0.000020411126,0.000010069409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991624,0.000069796195,0.00029066022,0.00010406403,0.00016234882,0.00021074153],"domain_scores_gemma":[0.99922836,0.000092460716,0.00008290129,0.0003282175,0.00018313424,0.00008490369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011978118,0.00013901987,0.0001555185,0.00008472172,0.00010830354,0.00005982176,0.00021757983,0.00009523543,0.000098147124],"category_scores_gemma":[0.000016197198,0.0001224694,0.000024957704,0.00049092725,0.000060066075,0.00021077371,0.000003414857,0.00062152377,0.000008036188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015463226,0.0017932913,0.44817513,0.00023547174,0.0016028017,0.000074073636,0.013212966,0.14595708,0.17646737,0.06955955,0.013791259,0.12758468],"study_design_scores_gemma":[0.0039452077,0.0005750485,0.96085566,0.0004515956,0.0000689273,0.00038780997,0.0004356122,0.0128522385,0.004358316,0.0012140264,0.014192568,0.0006629883],"about_ca_topic_score_codex":0.000004938715,"about_ca_topic_score_gemma":0.000060554128,"teacher_disagreement_score":0.51268053,"about_ca_system_score_codex":0.00015440132,"about_ca_system_score_gemma":0.00006287319,"threshold_uncertainty_score":0.4994157},"labels":[],"label_agreement":null},{"id":"W3005317604","doi":"10.1109/jsac.2020.2971811","title":"Dynamic Game and Pricing for Data Sponsored 5G Systems With Memory Effect","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Alberta","funders":"","keywords":"Computer science; Service (business); Revenue; Game theory; Service provider; Data as a service; Sequential game; Population; Non-cooperative game; Uniqueness; Evolutionarily stable strategy; Distributed computing; Computer network; Mathematical economics; Marketing","score_opus":0.03658646069429855,"score_gpt":0.32215155978720644,"score_spread":0.2855650990929079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005317604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688294,0.00056561874,0.024187693,0.0037283855,0.00018666309,0.0010522455,0.0002710061,0.000050808256,0.0011281857],"genre_scores_gemma":[0.9981994,0.00009232942,0.001340944,0.000085871114,0.00008401876,0.000036761714,0.000119480945,0.000020446565,0.000020727643],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989963,0.00024677813,0.0002837145,0.00017546501,0.00011784486,0.00017988708],"domain_scores_gemma":[0.9982183,0.000659365,0.000204987,0.00065043103,0.00014933238,0.00011757224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003323847,0.00012907885,0.00023868599,0.00006721004,0.0002922416,0.0001531599,0.0007817997,0.00003578892,0.0000034396278],"category_scores_gemma":[0.000066300396,0.00010896371,0.000027734883,0.00034303538,0.00006842525,0.00017728888,0.000074532574,0.0005009611,0.0000021714918],"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":[0.0050508995,0.0037141985,0.56052506,0.00092359394,0.004395345,0.000050825973,0.0259209,0.1119746,0.022896245,0.10059474,0.0066641956,0.15728943],"study_design_scores_gemma":[0.0026095165,0.00062700897,0.012958779,0.00049378286,0.00009335465,0.00002377668,0.00070878526,0.9782987,0.00005845051,0.00051183894,0.0032115588,0.00040441257],"about_ca_topic_score_codex":0.000075624324,"about_ca_topic_score_gemma":0.000027000146,"teacher_disagreement_score":0.8663241,"about_ca_system_score_codex":0.00004776002,"about_ca_system_score_gemma":0.00013336238,"threshold_uncertainty_score":0.44434112},"labels":[],"label_agreement":null},{"id":"W3005526145","doi":"10.1109/jsac.2020.3019722","title":"Massive Unsourced Random Access Based on Uncoupled Compressive Sensing: Another Blessing of Massive MIMO","year":2020,"lang":"en","type":"preprint","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Compressed sensing; Context (archaeology); Algorithm; MIMO; Constellation; Cluster analysis; Channel (broadcasting); Theoretical computer science; Computer engineering; Computer network; Artificial intelligence","score_opus":0.0619434209928295,"score_gpt":0.3106691160377372,"score_spread":0.2487256950449077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005526145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46167096,0.0035707138,0.47848424,0.012362382,0.0036519591,0.0058661574,0.00058802764,0.0038075012,0.029998073],"genre_scores_gemma":[0.98724514,0.0007263879,0.011004743,0.00048506592,0.00020519154,0.00003584783,0.00010712792,0.00017836312,0.000012120024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963457,0.0009188764,0.0012119699,0.0004494849,0.00060675445,0.00046718688],"domain_scores_gemma":[0.9940882,0.0014776052,0.001073245,0.0022406734,0.00093757187,0.00018272374],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00028848133,0.00068973924,0.0012037785,0.0009704382,0.00029385334,0.00033922333,0.002407815,0.0005291788,0.00003257698],"category_scores_gemma":[0.00035092625,0.00069077674,0.0003335199,0.00096154644,0.0002270881,0.00013441409,0.0004252541,0.0040908265,0.000006591374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044931524,0.000271162,0.00031826456,0.0000771809,0.00046055342,0.0000761852,0.00057290593,0.9659509,0.025112614,0.000056971036,0.0047349255,0.0019190372],"study_design_scores_gemma":[0.0026152967,0.00012867623,0.0009679499,0.0049986816,0.00017657244,0.000028988747,0.00007461253,0.9270381,0.0595332,0.0028310285,0.0008415564,0.00076536724],"about_ca_topic_score_codex":0.00006463585,"about_ca_topic_score_gemma":0.00004897979,"teacher_disagreement_score":0.5255742,"about_ca_system_score_codex":0.00051060144,"about_ca_system_score_gemma":0.0004309808,"threshold_uncertainty_score":0.99955434},"labels":[],"label_agreement":null},{"id":"W3015609468","doi":"10.1109/jsac.2020.2986851","title":"SFC-Based Service Provisioning for Reconfigurable Space-Air-Ground Integrated Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Distributed computing; Provisioning; Chaining; Virtual network; Computer network; Greedy algorithm; Scheduling (production processes); Mathematical optimization","score_opus":0.051549146429581916,"score_gpt":0.2808584540433913,"score_spread":0.2293093076138094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015609468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006898182,0.0007747631,0.93433744,0.055613615,0.00046481463,0.00064072106,0.000010485271,0.00039029188,0.0008697006],"genre_scores_gemma":[0.8974999,0.0002712113,0.09278456,0.00896843,0.00023646615,0.00010333743,0.000053974552,0.000043458556,0.000038638584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785733,0.00041877653,0.0006230604,0.0003585353,0.0002526045,0.0004897123],"domain_scores_gemma":[0.9954671,0.0017668811,0.0003838733,0.0011997614,0.0009007683,0.00028160022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059012766,0.00025511105,0.00034055888,0.00021289644,0.00071910373,0.00040885273,0.002830321,0.00016284478,0.000015402882],"category_scores_gemma":[0.00047944015,0.00023333875,0.000108734246,0.0029906954,0.00004165397,0.00044340425,0.000097163036,0.0013981115,0.000017682993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005541214,0.0011827955,0.0031786042,0.000064598404,0.00022788672,0.000033241984,0.0023434814,0.84122235,0.0012065974,0.015593085,0.051520623,0.08287259],"study_design_scores_gemma":[0.0011952573,0.00033759142,0.0011678756,0.00033390408,0.000017119024,0.000033709613,0.000053611417,0.9641532,0.000249238,0.0008841523,0.031272452,0.00030194566],"about_ca_topic_score_codex":0.000069330934,"about_ca_topic_score_gemma":0.00027839746,"teacher_disagreement_score":0.89060175,"about_ca_system_score_codex":0.00019731032,"about_ca_system_score_gemma":0.00054185645,"threshold_uncertainty_score":0.95152783},"labels":[],"label_agreement":null},{"id":"W3015755308","doi":"10.1109/jsac.2020.2986591","title":"A Virtual Network Customization Framework for Multicast Services in NFV-Enabled Core Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Computer network; Virtual network; Distributed computing; Multicast; Multipath routing; Routing (electronic design automation); Static routing; Routing protocol","score_opus":0.04369836561036022,"score_gpt":0.29722283132057825,"score_spread":0.253524465710218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015755308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011856795,0.0008185489,0.9791709,0.006660532,0.00056080334,0.0005829927,0.000005949412,0.0002128031,0.00013066565],"genre_scores_gemma":[0.8672879,0.0009516963,0.12772875,0.0032677734,0.00059283385,0.00009409664,0.000033031207,0.000035565285,0.000008386177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975857,0.00039557565,0.0007793738,0.00036900298,0.000272961,0.0005973847],"domain_scores_gemma":[0.99541,0.0024706332,0.0004065556,0.0010758692,0.00038633053,0.00025059504],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005880329,0.00025936426,0.00039846965,0.00020972447,0.0005040494,0.00033723676,0.0027419606,0.00025659645,0.000009916317],"category_scores_gemma":[0.00042695642,0.0002545155,0.00010105083,0.003226976,0.000054543016,0.00045388227,0.00026782614,0.0015974761,0.00001156883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016851182,0.00036512007,0.013072964,0.000013179454,0.000053376523,0.000014352841,0.0018249182,0.93921506,0.000021435237,0.028028667,0.0039531467,0.013269276],"study_design_scores_gemma":[0.0012338118,0.00024862625,0.008095505,0.00045525742,0.000014533766,0.000025638898,0.00007467067,0.981022,0.000006495881,0.0051217764,0.0034255292,0.00027613476],"about_ca_topic_score_codex":0.000017413564,"about_ca_topic_score_gemma":0.00022542596,"teacher_disagreement_score":0.8554311,"about_ca_system_score_codex":0.00016517942,"about_ca_system_score_gemma":0.00017395618,"threshold_uncertainty_score":0.9999907},"labels":[],"label_agreement":null},{"id":"W3015810695","doi":"10.1109/jsac.2020.2986612","title":"Robust Online Composition, Routing and NF Placement for NFV-Enabled Services","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Provisioning; Distributed computing; Virtual network; Server; Network Functions Virtualization; Cloud computing","score_opus":0.05958170375065332,"score_gpt":0.28390660027056275,"score_spread":0.22432489651990944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015810695","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15962037,0.00187557,0.778485,0.05788225,0.0004006415,0.0008599772,0.0000550023,0.0004090669,0.00041211132],"genre_scores_gemma":[0.88835496,0.0006544235,0.107738875,0.0029779673,0.000175555,0.00002543895,0.00004861101,0.00001582129,0.000008371455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866146,0.00019962754,0.00045191022,0.00022695791,0.00018725629,0.0002728034],"domain_scores_gemma":[0.99794286,0.0007155359,0.00024994594,0.000579935,0.00033684727,0.00017485165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029785075,0.00015153509,0.00021621038,0.000119969525,0.00059784093,0.00029358882,0.0013680409,0.00006408481,0.000004446082],"category_scores_gemma":[0.00006609518,0.00014326039,0.00004618263,0.00079595577,0.000032254586,0.00031462466,0.00021414077,0.000555247,0.00000313103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016705975,0.007427266,0.06891701,0.00048054446,0.00117739,0.00009486599,0.031934246,0.6605764,0.010911777,0.087196864,0.032379318,0.09723372],"study_design_scores_gemma":[0.0019295763,0.00047460516,0.007362735,0.00035699413,0.000028722012,0.000099432495,0.00020845963,0.98317504,0.00020673,0.0011381075,0.0047133546,0.00030624104],"about_ca_topic_score_codex":0.0000140519,"about_ca_topic_score_gemma":0.00009663869,"teacher_disagreement_score":0.72873455,"about_ca_system_score_codex":0.00008238059,"about_ca_system_score_gemma":0.00009487329,"threshold_uncertainty_score":0.5841989},"labels":[],"label_agreement":null},{"id":"W3025598106","doi":"10.1109/jsac.2020.3007059","title":"Joint Design of Reconfigurable Intelligent Surfaces and Transmit Beamforming Under Proper and Improper Gaussian Signaling","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Institute for Computational Science and Technology; Queen's University; National Natural Science Foundation of China; Queen's University Belfast; Australian Research Council; Royal Academy of Engineering; National Science Foundation","keywords":"Beamforming; Computer science; Telecommunications link; Gaussian; Joint (building); Optimization problem; Computational complexity theory; Smart antenna; Mathematical optimization; Computer engineering; Antenna (radio); Antenna array; Algorithm; Telecommunications; Mathematics; Directional antenna","score_opus":0.07657024894509025,"score_gpt":0.26283991397304834,"score_spread":0.1862696650279581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025598106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.550113,0.012635896,0.42799738,0.0069151274,0.00007160761,0.00083666685,0.000012441169,0.0004969272,0.0009209645],"genre_scores_gemma":[0.9463445,0.017069304,0.03645129,0.00006427428,0.000008097421,0.000022218876,0.0000024120955,0.000032331885,0.000005587342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988627,0.00015579762,0.0005458037,0.00012411043,0.00011864556,0.00019295365],"domain_scores_gemma":[0.9988464,0.00028470941,0.00013203618,0.0005063118,0.00013839394,0.00009215907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027026903,0.00016669268,0.0002796543,0.00019141608,0.00018301813,0.00005334334,0.0005500704,0.00009724354,0.000012708243],"category_scores_gemma":[0.00011772328,0.00014673233,0.000026275879,0.0004853814,0.0001630621,0.00024328814,0.000049589584,0.00090827025,0.0000018767198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003704655,0.00007641972,0.00024012527,0.0000685587,0.000096381,0.0000015117162,0.0021980912,0.614785,0.3524392,0.0006610475,0.000047383954,0.029349197],"study_design_scores_gemma":[0.0010245285,0.00045509994,0.0016345562,0.001035485,0.000049153412,0.00012404619,0.0036637064,0.5022113,0.48460692,0.0030951477,0.0014243278,0.00067575887],"about_ca_topic_score_codex":0.000007968999,"about_ca_topic_score_gemma":0.000014327966,"teacher_disagreement_score":0.39623147,"about_ca_system_score_codex":0.000077948745,"about_ca_system_score_gemma":0.00004793136,"threshold_uncertainty_score":0.5983571},"labels":[],"label_agreement":null},{"id":"W3034408430","doi":"10.1109/jsac.2020.3000810","title":"On the Spectral and Energy Efficiencies of Full-Duplex Cell-Free Massive MIMO","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":126,"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":"Institute for Information and Communications Technology Promotion; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; MIMO; Power control; Spectral efficiency; Mathematical optimization; Computational complexity theory; Transmitter power output; Scheduling (production processes); Scalability; Algorithm; Beamforming; Power (physics); Computer network; Channel (broadcasting); Telecommunications; Mathematics","score_opus":0.023852556738514552,"score_gpt":0.22625630981263226,"score_spread":0.2024037530741177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034408430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978853,0.0015373424,0.0015244721,0.014095807,0.0000963486,0.00014897162,0.000042897376,0.00013169633,0.0035694966],"genre_scores_gemma":[0.9938864,0.0031176356,0.0024941796,0.00034908988,0.00004832705,0.000031567164,0.0000100022335,0.000038901806,0.00002385992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845576,0.0003343642,0.000528528,0.00013579342,0.00027357615,0.00027200414],"domain_scores_gemma":[0.99598956,0.0018232621,0.00017843742,0.0016664997,0.00020109807,0.00014111689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020334485,0.00021264082,0.00026510007,0.00020550877,0.00034840518,0.00007297602,0.0023352408,0.000090916015,0.000043253083],"category_scores_gemma":[0.0004813458,0.0001750656,0.00007550407,0.0010673221,0.00024461467,0.00010156975,0.00018551535,0.0011455541,0.000009429541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006670095,0.00036929658,0.00019560427,0.0000250544,0.000102047365,0.0000052034616,0.002958478,0.8674994,0.07881543,0.040419605,0.008683753,0.0008594152],"study_design_scores_gemma":[0.00130205,0.0004787605,0.004220835,0.0002644149,0.00005317606,0.000073576324,0.0010562134,0.9668445,0.019622296,0.00052407716,0.0050812704,0.00047884378],"about_ca_topic_score_codex":0.00002395589,"about_ca_topic_score_gemma":0.00019943737,"teacher_disagreement_score":0.09934507,"about_ca_system_score_codex":0.00012833791,"about_ca_system_score_gemma":0.000090090005,"threshold_uncertainty_score":0.71389675},"labels":[],"label_agreement":null},{"id":"W3034450003","doi":"10.1109/jsac.2020.3000884","title":"Uplink-Aided High Mobility Downlink Channel Estimation Over Massive MIMO-OTFS System","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":180,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; MIMO; Orthogonal frequency-division multiplexing; Channel (broadcasting); Electronic engineering; MIMO-OFDM; Algorithm; Real-time computing; Computer network; Engineering","score_opus":0.02949425735384182,"score_gpt":0.26951114628495143,"score_spread":0.24001688893110962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034450003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9197925,0.0012261722,0.06028568,0.008629682,0.0026032652,0.0013131286,0.00012429428,0.0018845088,0.004140816],"genre_scores_gemma":[0.99335754,0.00025745388,0.005763066,0.00016760391,0.00026047562,0.00008365104,0.000045937544,0.000052359177,0.0000118937605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808425,0.00029008405,0.0007905007,0.00021198308,0.00030339463,0.0003197952],"domain_scores_gemma":[0.9979136,0.00032511173,0.00020460907,0.0009756474,0.00032760034,0.0002534087],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028958163,0.00025643333,0.00034645732,0.0002668953,0.0003087102,0.00011108492,0.0009304301,0.00015726984,0.000047093446],"category_scores_gemma":[0.0003202384,0.00026864416,0.00009598672,0.0011597575,0.000077377765,0.0003260772,0.00006365558,0.001495819,0.00012978297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060913382,0.00022818276,0.00031775542,0.00011300989,0.00016991564,0.000015390582,0.0011920708,0.98375887,0.005763755,0.0014615853,0.005576593,0.0013419478],"study_design_scores_gemma":[0.0010260007,0.00009494761,0.0076080197,0.0003412717,0.0000497492,0.00015194133,0.0002846964,0.98539746,0.003189485,0.00051158154,0.0009660042,0.00037882174],"about_ca_topic_score_codex":0.000030632542,"about_ca_topic_score_gemma":0.000023287383,"teacher_disagreement_score":0.07356511,"about_ca_system_score_codex":0.0008163865,"about_ca_system_score_gemma":0.000121271834,"threshold_uncertainty_score":0.9999766},"labels":[],"label_agreement":null},{"id":"W3038385657","doi":"10.1109/jsac.2020.3005490","title":"3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Channel (broadcasting); Azimuth; Real-time computing; Trajectory; Probabilistic logic; Satellite; Algorithm; Artificial intelligence; Telecommunications","score_opus":0.051211442101858205,"score_gpt":0.2812260356862205,"score_spread":0.2300145935843623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038385657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032778952,0.014737399,0.90932024,0.029105442,0.0005880408,0.0032908286,0.00015196396,0.0011122779,0.008914878],"genre_scores_gemma":[0.9519035,0.017336382,0.029635085,0.00037921808,0.00011301433,0.00026567612,0.00027559485,0.000074964744,0.0000165559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832606,0.00021765904,0.0007580776,0.00019205362,0.00013830421,0.00036782207],"domain_scores_gemma":[0.99743265,0.0006464584,0.00017450031,0.0012058025,0.00037864468,0.00016191983],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037124546,0.00024344715,0.00031409643,0.00035554156,0.0003729972,0.0001379431,0.0014403488,0.00018459602,0.000010814976],"category_scores_gemma":[0.00017036017,0.0002639755,0.0000792333,0.0022490898,0.000086411535,0.00031047864,0.00007141351,0.0013853173,0.000011659195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064808715,0.00040867075,0.0011608625,0.000026529793,0.0000889305,0.0000019501497,0.0021623855,0.9711281,0.00083569606,0.0037794013,0.0009972437,0.019345393],"study_design_scores_gemma":[0.0008149173,0.00006706707,0.004216436,0.00017936774,0.000026230626,0.000016119006,0.00027110215,0.96809775,0.00011433638,0.00038224726,0.025525318,0.00028910753],"about_ca_topic_score_codex":0.00003856496,"about_ca_topic_score_gemma":0.0008626121,"teacher_disagreement_score":0.91912454,"about_ca_system_score_codex":0.0003560378,"about_ca_system_score_gemma":0.00009066538,"threshold_uncertainty_score":0.9999812},"labels":[],"label_agreement":null},{"id":"W3039219915","doi":"10.1109/jsac.2020.3007044","title":"Large Intelligent Surface Assisted Wireless Communications With Spatial Modulation and Antenna Selection","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Antenna diversity; Algorithm; Bit error rate; Wireless; Euclidean distance; Computational complexity theory; Selection (genetic algorithm); Antenna (radio); Telecommunications; Computer engineering; Artificial intelligence; Decoding methods","score_opus":0.039321215318383174,"score_gpt":0.2779054602869929,"score_spread":0.23858424496860975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039219915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43951374,0.0017047332,0.5483685,0.0078249965,0.00008753552,0.0006125487,0.000037306658,0.0012237568,0.00062686834],"genre_scores_gemma":[0.9714787,0.008689779,0.01948758,0.00013026295,0.000029626823,0.000045597466,0.00006430099,0.00006681655,0.00000736101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820143,0.00034543965,0.00063811295,0.00021587648,0.00025702044,0.00034209256],"domain_scores_gemma":[0.9971367,0.0004612932,0.00024312745,0.001577196,0.0004228254,0.00015885169],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024623462,0.00028455383,0.0003413909,0.0002685991,0.0005784366,0.00012131165,0.0016001716,0.00017380674,0.000011969562],"category_scores_gemma":[0.00013588807,0.00028289584,0.00004358483,0.0016450469,0.00022396493,0.00038556973,0.00024237338,0.0018130601,0.000012654935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006594024,0.0025358442,0.07738583,0.00020893704,0.000975116,0.000022186308,0.011093893,0.45494357,0.20479594,0.013905885,0.0012738538,0.23219956],"study_design_scores_gemma":[0.00085500506,0.0001955981,0.018016845,0.00020942383,0.000024342977,0.00009765904,0.00065785355,0.97322273,0.0031376728,0.00031442277,0.0028771376,0.0003913172],"about_ca_topic_score_codex":0.000022568462,"about_ca_topic_score_gemma":0.0010812907,"teacher_disagreement_score":0.5319649,"about_ca_system_score_codex":0.0003144971,"about_ca_system_score_gemma":0.00007929367,"threshold_uncertainty_score":0.99996233},"labels":[],"label_agreement":null},{"id":"W3039424145","doi":"10.1109/jsac.2020.3005492","title":"Performance Analysis of 5G Mobile Relay Systems for High-Speed Trains","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; ZTE Corporation","keywords":"Relay; Fading; Computer science; Relay channel; Computer network; Bit error rate; Base station; Bottleneck; Channel (broadcasting); Wireless; Telecommunications; Embedded system","score_opus":0.02953153919983912,"score_gpt":0.27062967080487427,"score_spread":0.24109813160503515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039424145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.640831,0.0024762608,0.35155,0.0003901437,0.0005948891,0.0015950315,0.00024208405,0.00040084368,0.001919735],"genre_scores_gemma":[0.9924209,0.0018836727,0.005388476,0.000022234366,0.00006588379,0.00008292565,0.00007900756,0.000037349208,0.000019563373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987235,0.000116629206,0.0007149281,0.00011310433,0.00014300329,0.00018882714],"domain_scores_gemma":[0.99837863,0.00034099302,0.00024090124,0.0005711217,0.00037154034,0.00009682204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022077946,0.00014265458,0.00041400074,0.00044728824,0.00013014773,0.00003000081,0.00057449855,0.00008994688,0.0000069121156],"category_scores_gemma":[0.00012311591,0.00014649956,0.00009104696,0.002355298,0.000032037173,0.00019663163,0.000013006707,0.00041389873,0.0000033117017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021512373,0.00005103943,0.00070732017,0.000043804986,0.00033220428,3.765967e-7,0.0007358116,0.9931464,0.0042663463,0.00015798173,0.00020176693,0.00033540317],"study_design_scores_gemma":[0.00049586757,0.00013788385,0.0014202532,0.00010937865,0.00019536362,0.0000063511957,0.00015036769,0.99568564,0.0008969744,0.000005207393,0.00075157994,0.00014511573],"about_ca_topic_score_codex":0.0000087961225,"about_ca_topic_score_gemma":0.000030401286,"teacher_disagreement_score":0.3515899,"about_ca_system_score_codex":0.00019936672,"about_ca_system_score_gemma":0.00004679517,"threshold_uncertainty_score":0.5974078},"labels":[],"label_agreement":null},{"id":"W3040668711","doi":"10.1109/jsac.2020.3005469","title":"Optimal UAV Caching and Trajectory in Aerial-Assisted Vehicular Networks: A Learning-Based Approach","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":212,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Beijing Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Leverage (statistics); Trajectory optimization; Inference; Artificial intelligence; Online algorithm; Particle swarm optimization; Optimization problem; Edge computing; Enhanced Data Rates for GSM Evolution; Cluster analysis; Trajectory; Machine learning; Algorithm","score_opus":0.021777081505385577,"score_gpt":0.23479601936332375,"score_spread":0.21301893785793818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040668711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55211735,0.0019733673,0.44189572,0.0014832697,0.00009864337,0.0005707066,0.0000065938652,0.00036520124,0.0014891295],"genre_scores_gemma":[0.979957,0.00070880953,0.018978618,0.0001204844,0.00007570401,0.00006349699,0.0000545103,0.000038544717,0.0000028680188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988195,0.00028128122,0.00040887107,0.00014989723,0.00012262008,0.00021785416],"domain_scores_gemma":[0.9991834,0.00019031591,0.00009109437,0.00032536165,0.000083371255,0.00012646553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025866958,0.00015888354,0.00021567088,0.00022272517,0.00021952827,0.00010064014,0.00037437372,0.000118934746,0.000007752418],"category_scores_gemma":[0.00009260195,0.00017142195,0.000038014477,0.001075385,0.000044318203,0.00012209499,0.000025317117,0.0013054309,0.0000021323458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022131635,0.0001056548,0.0015370443,0.00001015884,0.000017931347,0.0000022440684,0.00035430933,0.996229,0.00065642747,0.000038270493,0.00009726817,0.0009295764],"study_design_scores_gemma":[0.0007504889,0.00005034374,0.011066001,0.00006131516,0.000014950799,0.000020006175,0.000084934465,0.98672515,0.000055342854,0.0000041134667,0.0009982293,0.00016913423],"about_ca_topic_score_codex":0.000018223254,"about_ca_topic_score_gemma":0.000062888816,"teacher_disagreement_score":0.4278396,"about_ca_system_score_codex":0.00015719292,"about_ca_system_score_gemma":0.000066109504,"threshold_uncertainty_score":0.69903845},"labels":[],"label_agreement":null},{"id":"W3044071959","doi":"10.1109/jsac.2021.3064637","title":"Invoking Deep Learning for Joint Estimation of Indoor LiFi User Position and Orientation","year":2021,"lang":"en","type":"preprint","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Wireless Communication Technologies","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":"Concordia University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Qatar National Research Fund; Fonds Québécois de la Recherche sur la Nature et les Technologies; Concordia University; Royal Society","keywords":"Channel (broadcasting); Computer science; Orientation (vector space); Gaussian; Isotropy; Fidelity; Wireless; Communications system; Telecommunications; Electronic engineering; Optics; Physics; Mathematics; Engineering; Geometry","score_opus":0.031144493628682608,"score_gpt":0.2906152091562038,"score_spread":0.2594707155275212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044071959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8040093,0.0038862654,0.18928342,0.0010667597,0.00031694587,0.00071071344,0.00001391759,0.00038988015,0.00032279635],"genre_scores_gemma":[0.9075923,0.0087031275,0.08317216,0.000018200233,0.000024804958,0.00017669039,0.00025965951,0.000048940845,0.00000410088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998234,0.0002573423,0.00089316344,0.00019138477,0.00021658944,0.00020754822],"domain_scores_gemma":[0.9970581,0.0007148502,0.00045358148,0.0010690776,0.00064339995,0.000061014845],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00046302823,0.00023948237,0.00042269405,0.0006276245,0.00025201807,0.00019153066,0.0007125565,0.0003839861,0.0000050698677],"category_scores_gemma":[0.0009218263,0.00027448795,0.000089600166,0.0005630785,0.00011794302,0.00023911921,0.00032255473,0.0023473392,9.781993e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003667284,0.00028582287,0.0017226774,0.0003529631,0.00022202553,0.000001924079,0.002002077,0.8979872,0.010569797,0.0025450788,0.00005396557,0.084219776],"study_design_scores_gemma":[0.0006504541,0.00011052207,0.011418942,0.0017426446,0.000070785034,0.00003851636,0.00069673354,0.960278,0.0208786,0.003653174,0.0001028265,0.00035881135],"about_ca_topic_score_codex":0.000012806716,"about_ca_topic_score_gemma":0.00007095398,"teacher_disagreement_score":0.106111266,"about_ca_system_score_codex":0.00040375325,"about_ca_system_score_gemma":0.00009970698,"threshold_uncertainty_score":0.99997073},"labels":[],"label_agreement":null},{"id":"W3080441795","doi":"10.1109/jsac.2020.3018825","title":"Multiple Access in Cell-Free Networks: Outage Performance, Dynamic Clustering, and Deep Reinforcement Learning-Based Design","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reinforcement learning; Beamforming; Cluster analysis; Telecommunications link; Distributed computing; Optimization problem; Wireless network; Cellular network; Computer network; Wireless; Algorithm; Artificial intelligence; Telecommunications","score_opus":0.025527179943003457,"score_gpt":0.25726495988134673,"score_spread":0.23173777993834327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080441795","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015532803,0.0005891551,0.98268604,0.0001899359,0.00009664586,0.0004089623,0.0000010176724,0.00015115232,0.00034428563],"genre_scores_gemma":[0.98625565,0.0024907917,0.010980922,0.00009609561,0.00002992693,0.000060216746,0.000024753608,0.00004963962,0.000012004847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869305,0.00022010012,0.00054164464,0.00013869141,0.00012953179,0.00027700624],"domain_scores_gemma":[0.9987853,0.00032964817,0.00016209482,0.0005011417,0.000100128134,0.00012164689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024161725,0.00019054119,0.00022694792,0.000274181,0.00018960374,0.00010737479,0.00081987155,0.00009634667,0.0000082606975],"category_scores_gemma":[0.00018133127,0.0002090208,0.000025503003,0.00079799484,0.000032514054,0.00037954663,0.000107031454,0.0010622452,0.0000033728993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050044826,0.00003252919,0.0046781977,0.000038199534,0.000010349414,0.0000032776875,0.00038225378,0.99372137,0.00023558007,0.0000012525912,0.000046456305,0.000800479],"study_design_scores_gemma":[0.0014893638,0.00011505374,0.0021972696,0.00019922435,0.000008207793,0.000009333621,0.00005796692,0.9953878,0.00017157603,0.0000045086604,0.00015955692,0.00020013872],"about_ca_topic_score_codex":0.000007918585,"about_ca_topic_score_gemma":0.00029512597,"teacher_disagreement_score":0.97170514,"about_ca_system_score_codex":0.00031128954,"about_ca_system_score_gemma":0.000044960834,"threshold_uncertainty_score":0.8523621},"labels":[],"label_agreement":null},{"id":"W3081000514","doi":"10.1109/jsac.2020.3018803","title":"Multi-Operator Spectrum Sharing for Massive IoT Coexisting in 5G/B5G Wireless Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Stackelberg competition; Computer network; Cellular network; Quality of service; Wireless; Femtocell; Wireless network; Mobile network operator; Distributed computing; Telecommunications; Base station","score_opus":0.06410897092425268,"score_gpt":0.306132445582189,"score_spread":0.24202347465793633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081000514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11867745,0.0010708044,0.84363854,0.033896796,0.0007329864,0.0008623793,0.000009935107,0.00022652104,0.0008845872],"genre_scores_gemma":[0.96931607,0.00038766104,0.02831679,0.0015088471,0.00039050294,0.000024128694,0.000007418421,0.00003232934,0.000016256174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997786,0.00031094725,0.0006818894,0.00042749126,0.00021102751,0.00058264623],"domain_scores_gemma":[0.9975076,0.0009373049,0.00030080735,0.00076230604,0.00025855505,0.00023346853],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005017365,0.00024461836,0.00038350973,0.0002638806,0.00058783236,0.0004466899,0.002014014,0.00011520693,0.000005823526],"category_scores_gemma":[0.00026377646,0.00025243784,0.00010218153,0.0018208905,0.00006411771,0.00027163705,0.000224663,0.0015511209,0.0000050067165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006677472,0.0027270433,0.040647138,0.0000870404,0.0004901455,0.00068489864,0.014072011,0.7112626,0.01580219,0.060904372,0.0042408416,0.14841397],"study_design_scores_gemma":[0.0012956118,0.00014017723,0.006721508,0.00029385855,0.000009106961,0.000056092274,0.00006514258,0.9895836,0.0003391996,0.00049549644,0.000704124,0.0002960459],"about_ca_topic_score_codex":0.000036402875,"about_ca_topic_score_gemma":0.0007684255,"teacher_disagreement_score":0.8506386,"about_ca_system_score_codex":0.00035957704,"about_ca_system_score_gemma":0.00017113601,"threshold_uncertainty_score":0.9999928},"labels":[],"label_agreement":null},{"id":"W3082907477","doi":"10.1109/jsac.2020.3018826","title":"A New Path Division Multiple Access for the Massive MIMO-OTFS Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Telecommunications link; MIMO; Beamforming; Scheduling (production processes); Orthogonal frequency-division multiplexing; Orthogonal frequency-division multiple access; Doppler effect; Base station; Channel (broadcasting); Algorithm; Angle of arrival; Channel state information; Real-time computing; Electronic engineering; Telecommunications; Antenna (radio); Wireless; Mathematical optimization; Mathematics","score_opus":0.058835597645267156,"score_gpt":0.3094025234634643,"score_spread":0.2505669258181972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082907477","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024974821,0.0047267717,0.938373,0.026350664,0.0021098393,0.0014058189,0.000047793466,0.0005482179,0.001463049],"genre_scores_gemma":[0.9914168,0.0022398308,0.005304936,0.00036737247,0.0004905343,0.00008471926,0.000016579594,0.00004799589,0.000031245072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888414,0.00013250025,0.00041314738,0.00012432177,0.00017616292,0.00026972758],"domain_scores_gemma":[0.9974639,0.001343987,0.00013058502,0.00068381085,0.00018839314,0.00018936496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017175595,0.00016626558,0.00018484975,0.00010496421,0.00041658213,0.0001929195,0.0016238857,0.000094750474,0.00003362379],"category_scores_gemma":[0.00044211443,0.00013444839,0.00009325988,0.000862455,0.000039524177,0.00024467392,0.00009441972,0.0011090739,0.000013206543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048700575,0.000059594684,0.001743564,0.000008616338,0.00010307132,0.0000019304678,0.00068161055,0.91519684,0.0010458363,0.00019380344,0.065393955,0.015522455],"study_design_scores_gemma":[0.0010263284,0.0000780527,0.010535973,0.00012977501,0.00003473555,0.000023624018,0.00012946723,0.940025,0.00053992757,0.00033018988,0.046923704,0.00022324649],"about_ca_topic_score_codex":0.000016616066,"about_ca_topic_score_gemma":0.00006233418,"teacher_disagreement_score":0.966442,"about_ca_system_score_codex":0.00015978851,"about_ca_system_score_gemma":0.00009365579,"threshold_uncertainty_score":0.5482646},"labels":[],"label_agreement":null},{"id":"W3089248281","doi":"10.1109/jsac.2020.3019724","title":"Massive Access for 5G and Beyond","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":657,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Australian Research Council; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Wireless; Cellular network; Wireless network; Telecommunications; Computer security","score_opus":0.0547641495153385,"score_gpt":0.3177449162704811,"score_spread":0.26298076675514265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089248281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32768682,0.023207456,0.43813318,0.17312555,0.00093241036,0.003753625,0.00025658056,0.0054203817,0.027484005],"genre_scores_gemma":[0.9770128,0.007787564,0.014609381,0.00039771892,0.000034670276,0.000103136124,0.000013602517,0.000035237073,0.0000058636956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991959,0.00006734008,0.00033907036,0.0001077804,0.00009547514,0.00019447872],"domain_scores_gemma":[0.99826014,0.0006138152,0.00010384368,0.00074848544,0.00018021649,0.00009350938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009372032,0.00013990315,0.00019535638,0.0001882196,0.00023431632,0.000100185,0.0015539784,0.000095496005,0.000006660567],"category_scores_gemma":[0.0004024546,0.00014493316,0.000033923956,0.0006658423,0.00010347527,0.0003161845,0.00009629017,0.0008546303,0.000004520486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002448995,0.00053945085,0.006695616,0.00023396149,0.0004917946,0.000015631456,0.0044556838,0.61350244,0.04400201,0.040556148,0.029502923,0.25975943],"study_design_scores_gemma":[0.0051497743,0.00069301703,0.013794303,0.00052994414,0.00007632896,0.00014384909,0.0018659463,0.73848087,0.07631044,0.047710046,0.11348323,0.0017622876],"about_ca_topic_score_codex":0.0000010973233,"about_ca_topic_score_gemma":0.000022815015,"teacher_disagreement_score":0.649326,"about_ca_system_score_codex":0.00010428289,"about_ca_system_score_gemma":0.00003653346,"threshold_uncertainty_score":0.5910203},"labels":[],"label_agreement":null},{"id":"W3096460114","doi":"10.1109/jsac.2020.3003065","title":"Guest Editorial Special Issue on Advances in Artificial Intelligence and Machine Learning for Networking","year":2020,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Telecommunications; Data science","score_opus":0.04343439100199471,"score_gpt":0.32224561682224345,"score_spread":0.27881122582024875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096460114","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018533407,0.001180078,0.010029887,0.0012263813,0.9864711,0.00032404513,0.000004033244,0.0000808197,0.0006651137],"genre_scores_gemma":[0.0006962196,0.0042931,0.0036900907,0.000052739237,0.99109876,0.000028515533,0.000076444165,0.000042718788,0.000021395386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964253,0.000686875,0.0010509648,0.00054970855,0.0007260954,0.00056108675],"domain_scores_gemma":[0.9921533,0.0057427087,0.0006942261,0.0007243783,0.0005169924,0.00016839498],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0012716312,0.00040438803,0.00060749345,0.0005875731,0.00081253087,0.0006456981,0.0028078868,0.0005104458,0.0000015597678],"category_scores_gemma":[0.0025367022,0.00041935744,0.00010470202,0.0013209773,0.000095659285,0.00041781814,0.00040968563,0.005680699,0.000014926401],"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":[0.0002177089,0.00020754151,0.00006362283,0.000025248855,0.00002301593,0.000014260013,0.0010307833,0.002582449,0.000007950944,0.00023308584,0.8886449,0.10694948],"study_design_scores_gemma":[0.0002972881,0.00049475447,0.000010924184,0.0007032318,0.000012459011,0.000007788881,0.000017361128,0.038051847,0.000032069474,0.0025663802,0.9574277,0.0003781882],"about_ca_topic_score_codex":0.000026080215,"about_ca_topic_score_gemma":0.0002954903,"teacher_disagreement_score":0.10657129,"about_ca_system_score_codex":0.00037341876,"about_ca_system_score_gemma":0.00050400314,"threshold_uncertainty_score":0.99982584},"labels":[],"label_agreement":null},{"id":"W3105649577","doi":"10.1109/jsac.2020.3036962","title":"Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":495,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Resource allocation; Server; Reinforcement learning; EnodeB; Quality of service; Resource management (computing); Mobile edge computing; Distributed computing; Computer network; Controller (irrigation); User equipment; Base station; Artificial intelligence","score_opus":0.02717803149158695,"score_gpt":0.247961890300712,"score_spread":0.22078385880912504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105649577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08125883,0.0022231406,0.90386426,0.0053517357,0.0001159273,0.0014135556,0.0000037688487,0.00048416294,0.005284634],"genre_scores_gemma":[0.9796068,0.0019336669,0.017951304,0.00029931442,0.000026152336,0.00007890882,0.00005047011,0.000029884613,0.000023514818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890864,0.00016475523,0.0004411081,0.0001352186,0.00014518613,0.00020511415],"domain_scores_gemma":[0.9992286,0.00010686158,0.00009178449,0.00038650708,0.00006805726,0.00011818864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023716723,0.0001426232,0.00015741594,0.00022267707,0.00020439771,0.00007783294,0.000359059,0.000074979864,0.000015257839],"category_scores_gemma":[0.00003349118,0.00015344215,0.000031040574,0.0009613545,0.000026058562,0.000078143494,0.000051991854,0.00081284094,0.000005109981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014570264,0.00007079213,0.00079850253,0.000012742686,0.000031487452,0.000005305187,0.00025035493,0.99487334,0.00020483497,0.00007713885,0.00024085447,0.0034200954],"study_design_scores_gemma":[0.0009522252,0.000039379567,0.013565561,0.00011296717,0.000019225305,0.000005721548,0.00014460344,0.97586715,0.000047982237,0.0000044221592,0.009093414,0.00014735707],"about_ca_topic_score_codex":0.000007926586,"about_ca_topic_score_gemma":0.000048537448,"teacher_disagreement_score":0.898348,"about_ca_system_score_codex":0.0002080844,"about_ca_system_score_gemma":0.000017472144,"threshold_uncertainty_score":0.6257189},"labels":[],"label_agreement":null},{"id":"W3110381504","doi":"10.1109/jsac.2020.3041405","title":"Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo","funders":"Science and Engineering Research Council","keywords":"Computer science; Artificial intelligence","score_opus":0.023678629380708863,"score_gpt":0.269330116435443,"score_spread":0.24565148705473416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110381504","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021620374,0.00059371133,0.9626333,0.014022497,0.00028387218,0.00036142016,0.000002871375,0.00029590173,0.00018604187],"genre_scores_gemma":[0.94923425,0.00042392037,0.047100354,0.002995072,0.00012537194,0.00004447631,0.000035348072,0.000030753934,0.000010437842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979521,0.00042443702,0.000601623,0.0003066135,0.00024935402,0.0004658392],"domain_scores_gemma":[0.9966624,0.0013329177,0.00034829395,0.00082544703,0.0005780859,0.00025284803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005076685,0.00022626019,0.00032912183,0.00018189945,0.0007832161,0.00021317997,0.0019675472,0.00013988547,0.0000069353546],"category_scores_gemma":[0.0003914041,0.00022458704,0.000117358395,0.002222575,0.000053024793,0.00029368678,0.00018715732,0.0015707535,0.000008121996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017141907,0.0003836306,0.0042369636,0.000026476146,0.00021724094,0.000032372507,0.003368832,0.93951756,0.00213135,0.0057101906,0.0012764263,0.042927526],"study_design_scores_gemma":[0.0012640409,0.00022223592,0.0014647153,0.00016001727,0.000020658432,0.000091171016,0.000068199784,0.99186593,0.000030311807,0.00054222875,0.004028637,0.00024185886],"about_ca_topic_score_codex":0.000016081543,"about_ca_topic_score_gemma":0.0000980187,"teacher_disagreement_score":0.9276139,"about_ca_system_score_codex":0.00014098093,"about_ca_system_score_gemma":0.00017478851,"threshold_uncertainty_score":0.9158394},"labels":[],"label_agreement":null},{"id":"W3113024443","doi":"10.1109/jsac.2020.3036946","title":"Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":150,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Academy of Finland; Natural Sciences and Engineering Research Council of Canada; Chongqing Research Program of Basic Research and Frontier Technology; Shenzhen University","keywords":"Computer science; Reinforcement learning; Markov decision process; Edge device; Cache; Enhanced Data Rates for GSM Evolution; Distributed computing; Base station; Computer network; Node (physics); Cloud computing; Integer programming; Mobile edge computing; Quality of service; Server; Markov process; Artificial intelligence","score_opus":0.05197815145586125,"score_gpt":0.302713714603654,"score_spread":0.2507355631477927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113024443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18201147,0.00066758634,0.7969257,0.01747977,0.00043156624,0.0010883537,0.000006603116,0.00038373267,0.0010052042],"genre_scores_gemma":[0.98902947,0.00014309972,0.007858431,0.00261356,0.0001032866,0.00009843404,0.000048770882,0.000027398497,0.00007756154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973097,0.0007981857,0.00073965965,0.00036834783,0.00037106057,0.00041307966],"domain_scores_gemma":[0.9965133,0.000747554,0.0004168426,0.0006514833,0.0013420915,0.00032869677],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004799189,0.00025812702,0.0003415971,0.0003246222,0.0014977303,0.00067839865,0.0017273374,0.00009782991,0.0000068228233],"category_scores_gemma":[0.0005490872,0.00025903407,0.00012452804,0.0021661685,0.000029925934,0.00040745465,0.00022801377,0.0010804,0.00003674232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000897064,0.0013149746,0.0048635527,0.00008230812,0.0010989187,0.0001241618,0.012072304,0.82805437,0.08945315,0.003786158,0.0042878315,0.053965215],"study_design_scores_gemma":[0.001462997,0.00066431914,0.0016374912,0.00025178766,0.000039481725,0.00009359779,0.00026444445,0.98830634,0.0009394265,0.00006208,0.005865464,0.0004125592],"about_ca_topic_score_codex":0.000040117986,"about_ca_topic_score_gemma":0.00028114676,"teacher_disagreement_score":0.807018,"about_ca_system_score_codex":0.0003661149,"about_ca_system_score_gemma":0.00033372926,"threshold_uncertainty_score":0.9999862},"labels":[],"label_agreement":null},{"id":"W3133322928","doi":"10.1109/jsac.2020.3018841","title":"Guest Editorial Massive Access for 5G and Beyond—Part II","year":2021,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Telecommunications; Internet of Things; Computer network; World Wide Web","score_opus":0.023708812766033985,"score_gpt":0.31726214699467886,"score_spread":0.2935533342286449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133322928","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014621449,0.005197034,0.000875006,0.0011744456,0.989982,0.0005493323,0.0003904694,0.00056938233,0.0011161254],"genre_scores_gemma":[0.005435388,0.06643777,0.004297782,0.00003053846,0.9217758,0.00061268423,0.0010924103,0.00018893779,0.00012866386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973202,0.00025148076,0.0009977362,0.00034290188,0.0005941344,0.00049357075],"domain_scores_gemma":[0.9908013,0.00421131,0.0004952615,0.0026919984,0.001659241,0.00014093996],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00044449922,0.0005084711,0.0007483523,0.00066815014,0.0008624479,0.00037515152,0.0039275666,0.0013193554,0.000009077495],"category_scores_gemma":[0.0037026068,0.0005607301,0.00013301129,0.000996723,0.00024663843,0.0005007224,0.0004865164,0.0053595784,0.00000394955],"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":[0.00003127519,0.00013926743,0.0000073458127,0.00005361423,0.0001420919,0.0000030737408,0.0001120466,0.005187547,0.00016747547,0.00018875593,0.99231404,0.0016534519],"study_design_scores_gemma":[0.0009865322,0.00012688931,0.000008427562,0.00061697565,0.000049345374,0.000009713506,0.00008949596,0.0010922655,0.0010544248,0.0015382548,0.99389434,0.0005333182],"about_ca_topic_score_codex":0.000008340781,"about_ca_topic_score_gemma":0.00026542912,"teacher_disagreement_score":0.06820617,"about_ca_system_score_codex":0.00071669935,"about_ca_system_score_gemma":0.0005110459,"threshold_uncertainty_score":0.9999771},"labels":[],"label_agreement":null},{"id":"W3138002746","doi":"10.1109/jsac.2021.3064643","title":"Disruption Minimized Bandwidth Scaling in EON-Enabled Transport Network Slices","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Control reconfiguration; Distributed computing; Resource allocation; Quality of service; Network topology; Computer network; Integer programming; Bandwidth (computing); Heuristic; Traffic grooming; Resource (disambiguation); Scaling; Algorithm; Wavelength-division multiplexing; Artificial intelligence","score_opus":0.028107478882127997,"score_gpt":0.282971924258267,"score_spread":0.254864445376139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138002746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6411526,0.0073525584,0.33251637,0.012331072,0.0018355207,0.00055300095,0.000009226335,0.00042754106,0.0038220885],"genre_scores_gemma":[0.9460828,0.003529494,0.04946271,0.00057803426,0.00019627978,0.000034641856,0.0000280634,0.000020522899,0.00006745574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9973379,0.0007128623,0.00078807044,0.00031981897,0.00033996662,0.0005014331],"domain_scores_gemma":[0.9968178,0.0010698779,0.00026832006,0.0013474032,0.00034527993,0.000151282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009142623,0.00020549228,0.00037640252,0.00027843937,0.00044076165,0.00023096178,0.001706077,0.0001451757,0.000026588139],"category_scores_gemma":[0.00017315913,0.00020054655,0.00011537949,0.0032139127,0.000049393682,0.0004858731,0.00010726303,0.0012168633,0.000011082718],"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":[0.0005170249,0.0042645275,0.40897688,0.000055886863,0.00033788104,0.00080324773,0.0073155332,0.4517862,0.0019206506,0.021331575,0.0059573445,0.096733235],"study_design_scores_gemma":[0.0069929636,0.00019979698,0.62655836,0.0022529468,0.00007147014,0.00078939553,0.00024839016,0.3283401,0.0006029127,0.018541256,0.014190384,0.0012120174],"about_ca_topic_score_codex":0.00004610038,"about_ca_topic_score_gemma":0.0015258376,"teacher_disagreement_score":0.30493018,"about_ca_system_score_codex":0.00018994976,"about_ca_system_score_gemma":0.0003786261,"threshold_uncertainty_score":0.8178051},"labels":[],"label_agreement":null},{"id":"W3160036209","doi":"10.1109/jsac.2021.3078502","title":"Learning to Reflect and to Beamform for Intelligent Reflecting Surface With Implicit Channel Estimation","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":272,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Channel (broadcasting); Base station; Artificial neural network; Wireless; Artificial intelligence; Computer network; Telecommunications","score_opus":0.04803678577290461,"score_gpt":0.3467821487054097,"score_spread":0.2987453629325051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160036209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35070378,0.00074380694,0.6425449,0.0044012396,0.00007422729,0.00052763056,0.0000067828228,0.00050920655,0.0004884251],"genre_scores_gemma":[0.7850661,0.0011845774,0.21344972,0.000096180855,0.000013083985,0.000094966694,0.0000150612095,0.000042770967,0.000037486257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988981,0.00009119667,0.00040355072,0.00017372181,0.00013605545,0.00029739464],"domain_scores_gemma":[0.997778,0.00067900016,0.00009997441,0.0008774129,0.000450642,0.000114979885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029421027,0.00017724706,0.00023381741,0.00031704403,0.00045599212,0.000107583066,0.00060230406,0.000084843545,0.0000021359315],"category_scores_gemma":[0.0007535521,0.0001808923,0.000026982834,0.0013673031,0.000029989733,0.00017502063,0.00013498284,0.00092022883,0.0000051949264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034493773,0.000046396144,0.0001997761,0.000014694742,0.000036094312,0.0000012531336,0.0013358481,0.95206106,0.019171352,0.00038231528,0.00010234106,0.02661438],"study_design_scores_gemma":[0.0016662909,0.0018447018,0.0038755774,0.002271323,0.00006177191,0.0007016696,0.008113794,0.63941723,0.31251365,0.007077654,0.020915443,0.0015408816],"about_ca_topic_score_codex":0.0000073299034,"about_ca_topic_score_gemma":0.0003956676,"teacher_disagreement_score":0.43436238,"about_ca_system_score_codex":0.00039473115,"about_ca_system_score_gemma":0.0000660677,"threshold_uncertainty_score":0.73765737},"labels":[],"label_agreement":null},{"id":"W3160812247","doi":"10.1109/jsac.2021.3088662","title":"Joint Optimisation of Real-Time Deployment and Resource Allocation for UAV-Aided Disaster Emergency Communications","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Royal Academy of Engineering; Ho Chi Minh City University of Technology and Education; Global Challenges Research Fund","keywords":"Computer science; Software deployment; Resource allocation; Joint (building); Resource management (computing); Resource (disambiguation); Real-time computing; Computer network; Computer security; Telecommunications; Operating system","score_opus":0.03364657306110735,"score_gpt":0.2758373300856606,"score_spread":0.24219075702455323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160812247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7295635,0.0060262736,0.21779177,0.016078081,0.0005003766,0.0034744577,0.00026665465,0.00072068063,0.025578272],"genre_scores_gemma":[0.9113569,0.0135568995,0.074111596,0.000043038577,0.000049247417,0.0002495185,0.00040621913,0.00005737927,0.00016915686],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847645,0.00021231435,0.00080931507,0.00015427422,0.00016080789,0.00018683197],"domain_scores_gemma":[0.99730325,0.00031047245,0.00023513267,0.0014579352,0.0006028935,0.00009031333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003647701,0.00016010721,0.00023989049,0.0002431477,0.00030024216,0.000049238766,0.0005039445,0.00010289979,0.000036224505],"category_scores_gemma":[0.00014547246,0.0001771496,0.00006703128,0.00075344316,0.00007247375,0.00018448509,0.000066147644,0.00032285866,0.000005072399],"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":[0.00016191516,0.0031337268,0.004747128,0.0003128208,0.0007327972,0.0000022136617,0.0096219685,0.4064827,0.4837423,0.027117267,0.018304551,0.045640606],"study_design_scores_gemma":[0.002396943,0.00022339697,0.02221206,0.0005572619,0.00024458082,0.00010513229,0.0012926016,0.92933685,0.022637783,0.0032950751,0.016903972,0.00079436094],"about_ca_topic_score_codex":0.000011588841,"about_ca_topic_score_gemma":0.0001405172,"teacher_disagreement_score":0.52285415,"about_ca_system_score_codex":0.0001878052,"about_ca_system_score_gemma":0.000083986946,"threshold_uncertainty_score":0.7223951},"labels":[],"label_agreement":null},{"id":"W3162651254","doi":"10.1109/jsac.2021.3078497","title":"Machine Learning for Detecting Anomalies and Intrusions in Communication Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Machine learning; Artificial intelligence; Recurrent neural network; Intrusion detection system; Artificial neural network; Default gateway; Network security; Data mining; Computer network","score_opus":0.025634472160248566,"score_gpt":0.27670631337080814,"score_spread":0.2510718412105596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162651254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5012041,0.019937774,0.45785204,0.016650075,0.0008573536,0.00083137647,0.000005085386,0.00033186332,0.0023303393],"genre_scores_gemma":[0.9641096,0.01035418,0.025123062,0.0002546218,0.00005586737,0.000041705807,0.000013474313,0.000013182671,0.00003429334],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978896,0.00097356533,0.0005089859,0.00021685915,0.00013872718,0.00027225856],"domain_scores_gemma":[0.99685246,0.0015745314,0.00024318462,0.00090209,0.00034483316,0.00008287583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009558573,0.00013618103,0.00021152847,0.00034273652,0.0010187997,0.00028811969,0.0009582355,0.00011923887,0.0000071964496],"category_scores_gemma":[0.0006975595,0.00014500336,0.000048863018,0.0015331457,0.00006367838,0.00044738568,0.00036135106,0.001548482,0.000001352539],"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":[0.0002637314,0.0017656974,0.046423506,0.00005019942,0.0001510927,0.000051999705,0.009555428,0.19159111,0.005472772,0.08129467,0.0006411776,0.6627386],"study_design_scores_gemma":[0.0008275216,0.00013830062,0.00984481,0.00029632726,0.000007818299,0.00030117194,0.00015900946,0.97436106,0.00053660217,0.0065440685,0.0067766486,0.00020665077],"about_ca_topic_score_codex":0.000048688184,"about_ca_topic_score_gemma":0.0028490538,"teacher_disagreement_score":0.78277,"about_ca_system_score_codex":0.00014644962,"about_ca_system_score_gemma":0.00011069541,"threshold_uncertainty_score":0.78358865},"labels":[],"label_agreement":null},{"id":"W3166653712","doi":"10.1109/jsac.2021.3087234","title":"Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Beamforming; Fading; Adaptive beamformer; Channel state information; Channel (broadcasting); Artificial neural network; Algorithm; Artificial intelligence; Telecommunications; Wireless","score_opus":0.06350940356307683,"score_gpt":0.29813270575814066,"score_spread":0.23462330219506383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166653712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026786873,0.00020509888,0.9631607,0.0002232931,0.00017314042,0.00032094822,0.000009624355,0.0000885277,0.009031782],"genre_scores_gemma":[0.89155823,0.00029429622,0.10760433,0.00016961317,0.00010822669,0.00012835448,0.0000544425,0.00003990603,0.000042627133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877006,0.00018454157,0.0004118479,0.00015404956,0.0001885315,0.00029099587],"domain_scores_gemma":[0.9986581,0.00030523867,0.00008420537,0.00037943237,0.00042966037,0.00014334875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027498952,0.00016149315,0.0002093842,0.00026274004,0.00036550613,0.00007882247,0.000339264,0.000082598934,0.000011930934],"category_scores_gemma":[0.00022386733,0.0001759284,0.00007841101,0.00052187726,0.000018227984,0.00015136853,0.000055673092,0.0008424923,0.000008542538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058497302,0.00020637328,0.000012437727,0.000012269692,0.00013169459,0.0000028819186,0.0037013483,0.95193887,0.019242553,0.00042713407,0.00013976569,0.024126174],"study_design_scores_gemma":[0.0007840634,0.00013465324,0.000068516034,0.00015695122,0.000034824658,0.0001043238,0.0018109027,0.93401414,0.059312753,0.0005441362,0.0027395657,0.00029519448],"about_ca_topic_score_codex":0.0000033968322,"about_ca_topic_score_gemma":0.000046542256,"teacher_disagreement_score":0.8647713,"about_ca_system_score_codex":0.000406661,"about_ca_system_score_gemma":0.000104360566,"threshold_uncertainty_score":0.7174152},"labels":[],"label_agreement":null},{"id":"W3166744561","doi":"10.1109/jsac.2021.3088628","title":"Robust 3D-Trajectory and Time Switching Optimization for Dual-UAV-Enabled Secure Communications","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":106,"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":"Science and Technology Commission of Shanghai Municipality; Government of Jiangsu Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Coordinate descent; Optimization problem; Trajectory optimization; Mathematical optimization; Jamming; Trajectory; Convex optimization; Artificial noise; Channel (broadcasting); Real-time computing; Algorithm; Computer network; Regular polygon; Transmitter","score_opus":0.024787773334967983,"score_gpt":0.2479857681695021,"score_spread":0.22319799483453412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166744561","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038506962,0.007534645,0.93187207,0.0058919312,0.00041054373,0.0016540304,0.00015706575,0.00079054065,0.01318224],"genre_scores_gemma":[0.5545109,0.010500182,0.43347946,0.00022317813,0.00013737485,0.00029254053,0.00058307295,0.00010932518,0.00016399866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985599,0.00023216492,0.00058533764,0.00019538881,0.00014937036,0.00027783943],"domain_scores_gemma":[0.9969386,0.0006752614,0.00015623453,0.0014635568,0.0006427546,0.00012359639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037797575,0.00021159105,0.00026526087,0.00030469726,0.0007454827,0.0002123918,0.00060316746,0.00016454385,0.0000576305],"category_scores_gemma":[0.00019416597,0.000237809,0.00006150167,0.0010801927,0.000060362705,0.00031870848,0.000076163975,0.0007818996,0.000009200664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012110406,0.00022881376,0.00018628966,0.00002372613,0.00008509836,0.000001456416,0.00048429004,0.9887277,0.0049589467,0.0014647696,0.0014319557,0.002394854],"study_design_scores_gemma":[0.00073195953,0.000033049895,0.0006791869,0.00014832233,0.000059973307,0.000109496534,0.00013270474,0.9920687,0.0003633627,0.00034597388,0.0050585843,0.0002686957],"about_ca_topic_score_codex":0.0000066108496,"about_ca_topic_score_gemma":0.00014123946,"teacher_disagreement_score":0.5160039,"about_ca_system_score_codex":0.00024601247,"about_ca_system_score_gemma":0.00016390925,"threshold_uncertainty_score":0.96975696},"labels":[],"label_agreement":null},{"id":"W3169113824","doi":"10.1109/jsac.2021.3088656","title":"Hovering UAV-Based FSO Communications: Channel Modelling, Performance Analysis, and Parameter Optimization","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Key Laboratory of Opto-Technology and Intelligent Control Ministry of Education; National Key Research and Development Program of China; Basic Research Program of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Channel (broadcasting); Relay; Free-space optical communication; Flexibility (engineering); Probability density function; Scintillation; Communications system; Fading; Atmospheric turbulence; Performance improvement; Electronic engineering; Turbulence; Optical communication; Telecommunications; Power (physics); Physics; Mathematics; Engineering","score_opus":0.03649569803119355,"score_gpt":0.26219512534358036,"score_spread":0.22569942731238682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169113824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19485189,0.011420935,0.78566194,0.0040440736,0.00015841737,0.00036737203,0.00002878911,0.0009264879,0.0025401071],"genre_scores_gemma":[0.80683315,0.039435126,0.15342858,0.00009495831,0.00001118053,0.000063607986,0.0000852986,0.000035364126,0.000012746951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982745,0.0003062648,0.0006773435,0.00019681301,0.0002331569,0.00031192927],"domain_scores_gemma":[0.9950423,0.00095566554,0.00016519638,0.0032514187,0.00047803094,0.00010738807],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035217206,0.00023833921,0.00037203572,0.000764127,0.00047033638,0.00020493646,0.0016603153,0.00019442897,0.000017334134],"category_scores_gemma":[0.00026907233,0.00026244408,0.00009460378,0.0028806059,0.0002221756,0.00033106573,0.00025076445,0.0014338888,0.0000070192377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007742002,0.00017495724,0.0013706082,0.0000144557625,0.00017690036,0.0000015087395,0.00011287778,0.99412334,0.00016289459,0.00043003453,0.000028620792,0.0033960645],"study_design_scores_gemma":[0.00038214753,0.000033521726,0.0017719833,0.00015841209,0.00009269118,0.000021399383,0.00008984358,0.9940328,0.0023638722,0.00026591597,0.0005198903,0.00026753638],"about_ca_topic_score_codex":0.000010406727,"about_ca_topic_score_gemma":0.000121811725,"teacher_disagreement_score":0.6322333,"about_ca_system_score_codex":0.00025305134,"about_ca_system_score_gemma":0.000098511555,"threshold_uncertainty_score":0.9999828},"labels":[],"label_agreement":null},{"id":"W3169817290","doi":"10.1109/jsac.2021.3088626","title":"UAV-LEO Integrated Backbone: A Ubiquitous Data Collection Approach for B5G Internet of Remote Things Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","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":"University of Waterloo","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Relay; Data collection; Upload; Cache; Backhaul (telecommunications); Energy consumption; Data transmission; Telecommunications link; Real-time computing; Computer network; Base station","score_opus":0.03988887690602254,"score_gpt":0.27726215395561005,"score_spread":0.2373732770495875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169817290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005703209,0.00088095944,0.9901709,0.00026718594,0.00018366653,0.00036387058,0.000026677844,0.00011377267,0.00228976],"genre_scores_gemma":[0.5970354,0.003957925,0.3970956,0.00008415056,0.00008698091,0.00004982525,0.0014326171,0.000058918682,0.00019855627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986881,0.00015968876,0.0006096449,0.0001961828,0.00013672709,0.00020963489],"domain_scores_gemma":[0.9973679,0.00029393597,0.0001753637,0.0014143215,0.0006791462,0.00006928467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004289351,0.00015868746,0.000263974,0.00024034854,0.00017219603,0.00009145977,0.0010284958,0.00015622887,0.000018286788],"category_scores_gemma":[0.00021534183,0.00016516891,0.00005549271,0.0017729888,0.000045417215,0.0002645151,0.00009881846,0.000774102,0.000001453067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019044577,0.001194901,0.0005774742,0.000107860964,0.00052568805,0.000003651458,0.0015328535,0.8704324,0.0055575366,0.0017036381,0.046551082,0.071622506],"study_design_scores_gemma":[0.00051557925,0.000044553708,0.0003349329,0.00013072349,0.00004440226,0.00008227071,0.00010889674,0.990753,0.0010498744,0.00016428182,0.0066210423,0.00015045494],"about_ca_topic_score_codex":0.000052841628,"about_ca_topic_score_gemma":0.00016719931,"teacher_disagreement_score":0.5930753,"about_ca_system_score_codex":0.00022513965,"about_ca_system_score_gemma":0.00016179334,"threshold_uncertainty_score":0.6735393},"labels":[],"label_agreement":null},{"id":"W3170485195","doi":"10.1109/jsac.2021.3087243","title":"An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":282,"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":"Key Laboratory of Universal Wireless Communications of Ministry of Education; Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Identification (biology); Baseband; Artificial neural network; Computer engineering; Convergence (economics); Artificial intelligence; Algorithm; Machine learning; Telecommunications; Bandwidth (computing)","score_opus":0.05969386022215609,"score_gpt":0.3339043302936762,"score_spread":0.2742104700715201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170485195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041210555,0.00024198968,0.9525587,0.0048018987,0.00050345267,0.00029206355,0.000004387516,0.00013909428,0.00024786],"genre_scores_gemma":[0.9092731,0.00009014521,0.089361295,0.00090073654,0.00020542719,0.00003345521,0.0000960868,0.000026907572,0.000012884079],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946289,0.0029489454,0.00087110646,0.00057358627,0.00057988137,0.00039757814],"domain_scores_gemma":[0.99469334,0.0012270631,0.00055371865,0.0025120487,0.00077681645,0.00023699757],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012903366,0.00026348795,0.00032417278,0.00036473278,0.00092063536,0.00070457696,0.0016785986,0.00015167594,0.00002904551],"category_scores_gemma":[0.00011287991,0.0002631515,0.00007880767,0.0019619958,0.000096204145,0.00036602354,0.00013729684,0.0011157807,0.0000086241635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038100898,0.00059166754,0.001234598,0.0000032115047,0.000011890992,0.0000102886925,0.0001423632,0.97007436,0.0060975202,0.007832314,0.0007565894,0.0132070985],"study_design_scores_gemma":[0.00060487544,0.000082485094,0.13254464,0.00011814316,0.000009259499,0.000079214486,0.000019259704,0.8646888,0.0005536368,0.0005332794,0.0005418692,0.00022450332],"about_ca_topic_score_codex":0.0000059086547,"about_ca_topic_score_gemma":0.000026500093,"teacher_disagreement_score":0.8680625,"about_ca_system_score_codex":0.00026292304,"about_ca_system_score_gemma":0.00012841768,"threshold_uncertainty_score":0.99998206},"labels":[],"label_agreement":null},{"id":"W3170970335","doi":"10.1109/jsac.2021.3088672","title":"Joint Subchannel Allocation and Power Control in Licensed and Unlicensed Spectrum for Multi-Cell UAV-Cellular Network","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Egyptian Cultural and Educational Bureau","keywords":"Computer science; Frequency allocation; Resource allocation; Power control; Optimization problem; Cellular network; Base station; Telecommunications link; Mathematical optimization; Transmitter power output; Computer network; Spectrum management; Resource management (computing); Convex optimization; Interference (communication); Cognitive radio; Power (physics); Regular polygon; Telecommunications; Algorithm; Wireless; Transmitter; Channel (broadcasting)","score_opus":0.022320578753568243,"score_gpt":0.23821359140589488,"score_spread":0.21589301265232663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170970335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53086984,0.008753479,0.45235777,0.005244873,0.000327397,0.0014681789,0.00004312758,0.00018478988,0.00075054215],"genre_scores_gemma":[0.9778277,0.0034332967,0.018308396,0.00017514118,0.0000573279,0.00007120288,0.000051700743,0.000036889873,0.00003829562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988885,0.00014204251,0.00045428498,0.00016694792,0.00008795268,0.00026028408],"domain_scores_gemma":[0.99885154,0.0002652796,0.00010353048,0.0004687832,0.00021571797,0.00009513609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003273132,0.00015674747,0.00022862284,0.0001904235,0.00021041943,0.00009558469,0.00017295602,0.000117514035,0.000008994147],"category_scores_gemma":[0.000066645094,0.00017443688,0.000034065546,0.00065381074,0.000038189573,0.00011621769,0.00002281704,0.00046476634,0.0000023750501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002172351,0.0018792044,0.0066966596,0.00011677641,0.00020818198,0.000019822382,0.0031392025,0.8761668,0.10134651,0.004799968,0.002531963,0.002877678],"study_design_scores_gemma":[0.00333783,0.00007052975,0.012453475,0.00012037715,0.000031351632,0.000041506806,0.00016571683,0.9789233,0.0026274743,0.00042408583,0.0015523846,0.00025192767],"about_ca_topic_score_codex":0.000012852898,"about_ca_topic_score_gemma":0.000525401,"teacher_disagreement_score":0.44695792,"about_ca_system_score_codex":0.00013275577,"about_ca_system_score_gemma":0.000067508,"threshold_uncertainty_score":0.7113329},"labels":[],"label_agreement":null},{"id":"W3171596153","doi":"10.1109/jsac.2021.3087272","title":"LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Research Grants Council, University Grants Committee; China Postdoctoral Science Foundation; Impact Fund; Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China","keywords":"Computer science; Scalability; Synchronization (alternating current); Computation; Speedup; Distributed computing; Overhead (engineering); Convergence (economics); Stochastic gradient descent; Rate of convergence; Compensation (psychology); Data synchronization; Mathematical optimization; Parallel computing; Algorithm; Key (lock); Computer network; Artificial intelligence; Artificial neural network","score_opus":0.03917666790837083,"score_gpt":0.2856775653390298,"score_spread":0.246500897430659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171596153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010796088,0.000087917695,0.99522555,0.0026319134,0.00012251908,0.0003316126,0.000020483818,0.00017892157,0.0003214924],"genre_scores_gemma":[0.6904431,0.00008722878,0.30896914,0.00018321478,0.000031112148,0.00006973521,0.00018191748,0.00001627365,0.00001825231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983737,0.00026355547,0.00048551091,0.00026679496,0.00032017403,0.00029028903],"domain_scores_gemma":[0.996714,0.0006320817,0.0003110323,0.0009732004,0.0012578346,0.00011186813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031124818,0.00017302299,0.00023404193,0.0002478045,0.00046623335,0.00025902476,0.0010840526,0.000089931054,0.000007930944],"category_scores_gemma":[0.0003214473,0.00016786261,0.000052901327,0.0016908557,0.000098528864,0.000447622,0.000084619285,0.0004569,0.0000033023193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016545651,0.0015292075,0.002775835,0.00003165619,0.0002115296,0.000041305073,0.0036433304,0.60345227,0.0006457759,0.32545653,0.002215389,0.059831712],"study_design_scores_gemma":[0.001540602,0.00031531337,0.0033384198,0.00030634273,0.000024163339,0.00039101823,0.0002974968,0.98542947,0.0007112382,0.0065449993,0.0007999973,0.00030092502],"about_ca_topic_score_codex":0.00000458572,"about_ca_topic_score_gemma":0.000086336455,"teacher_disagreement_score":0.6893635,"about_ca_system_score_codex":0.00040673238,"about_ca_system_score_gemma":0.00057202694,"threshold_uncertainty_score":0.6845239},"labels":[],"label_agreement":null},{"id":"W3172135703","doi":"10.1109/jsac.2021.3087250","title":"Radio Frequency Fingerprint Identification for LoRa Using Deep Learning","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":259,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; Royal Society","keywords":"Computer science; Deep learning; Spectrogram; Artificial intelligence; Universal Software Radio Peripheral; Carrier frequency offset; Multilayer perceptron; Convolutional neural network; Wireless; Time–frequency analysis; Artificial neural network; Pattern recognition (psychology); Speech recognition; Machine learning; Frequency offset; Orthogonal frequency-division multiplexing; Filter (signal processing); Telecommunications; Computer vision; Channel (broadcasting)","score_opus":0.06964920209736099,"score_gpt":0.32293040587492877,"score_spread":0.2532812037775678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172135703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07305456,0.00048379615,0.9221595,0.003295854,0.00040438952,0.00024256752,0.0000023511614,0.00011390646,0.00024306533],"genre_scores_gemma":[0.8680654,0.00025895447,0.13132231,0.00009401681,0.00010337567,0.00004953585,0.00002956514,0.00002150527,0.00005530389],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974775,0.00073348463,0.00079050375,0.00035156662,0.00034879215,0.00029816822],"domain_scores_gemma":[0.9955597,0.0008714285,0.00058544404,0.0014378782,0.0014292288,0.00011630701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083769404,0.00016549634,0.0002171013,0.00041642485,0.0008160211,0.0004913497,0.0015961102,0.0001153712,0.000011235016],"category_scores_gemma":[0.00102231,0.00018865745,0.000101793354,0.0017184414,0.000055228058,0.00073055143,0.000110866094,0.0008292033,0.000017889804],"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":[0.000035620185,0.0012929444,0.011792434,0.000041763393,0.00015135069,0.000025541462,0.0032955522,0.20362164,0.5355557,0.1596638,0.00020414544,0.084319465],"study_design_scores_gemma":[0.000617754,0.000057616304,0.03851494,0.00017113755,0.000021162541,0.00022101513,0.000105977844,0.9317336,0.013143922,0.014121597,0.0009810525,0.000310202],"about_ca_topic_score_codex":0.000012016443,"about_ca_topic_score_gemma":0.000075014264,"teacher_disagreement_score":0.79501086,"about_ca_system_score_codex":0.0006230915,"about_ca_system_score_gemma":0.00045990714,"threshold_uncertainty_score":0.76932275},"labels":[],"label_agreement":null},{"id":"W3193402397","doi":"10.1109/jsac.2022.3145909","title":"Multi-Dimensional Multiple Access With Resource Utilization Cost Awareness for Individualized Service Provisioning in 6G","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; User equipment; Quality of service; Computer network; Resource allocation; Provisioning; Base station; Resource management (computing); Wireless; Radio resource management; Wireless network; Telecommunications","score_opus":0.11192588286735144,"score_gpt":0.35442236404329547,"score_spread":0.24249648117594402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193402397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8583616,0.0019968322,0.12997817,0.0038404646,0.00027450523,0.0035605757,0.00027262437,0.0014071973,0.00030801672],"genre_scores_gemma":[0.95779246,0.00030527625,0.040008713,0.0001905099,0.000011323596,0.0012950599,0.00031149073,0.00007368069,0.000011470052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980734,0.00039740236,0.0006275924,0.00021588801,0.00033873407,0.00034696222],"domain_scores_gemma":[0.99671656,0.0013136017,0.00026703504,0.0012855296,0.00035307396,0.00006420364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005267731,0.00022832477,0.00029748835,0.0008310001,0.0009064463,0.00010164373,0.0024150503,0.00009776493,0.0000149200305],"category_scores_gemma":[0.00037159835,0.00023645555,0.000036964157,0.0026275094,0.00006828551,0.00040228388,0.00045800203,0.0015116526,0.0000014464267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013640356,0.0003765786,0.012826274,0.000020115202,0.000031466512,0.0000026861615,0.0005501541,0.9775629,0.0013147626,0.00011584165,0.00019499264,0.0068678446],"study_design_scores_gemma":[0.004640689,0.00011874308,0.02014135,0.00034874858,0.000014522186,0.00007868971,0.0011351441,0.9530665,0.0028069713,0.00028301135,0.016902795,0.00046278632],"about_ca_topic_score_codex":0.000047933274,"about_ca_topic_score_gemma":0.00199736,"teacher_disagreement_score":0.09943085,"about_ca_system_score_codex":0.0006657322,"about_ca_system_score_gemma":0.00019893688,"threshold_uncertainty_score":0.9642378},"labels":[],"label_agreement":null},{"id":"W3194020564","doi":"10.1109/jsac.2022.3143259","title":"Efficient Federated Meta-Learning Over Multi-Access Wireless Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Wireless network; Wireless; Distributed computing; Telecommunications","score_opus":0.09115092014906082,"score_gpt":0.340569195504713,"score_spread":0.24941827535565217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194020564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1773712,0.0024131334,0.78252596,0.03341676,0.0011123202,0.00071218406,0.000030485226,0.0016474107,0.00077055226],"genre_scores_gemma":[0.95766485,0.000404223,0.041225575,0.0004315263,0.000026638789,0.00016065655,0.000020735537,0.000028937293,0.00003685257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99602705,0.0017562837,0.00065510423,0.00042608392,0.00060001336,0.0005354429],"domain_scores_gemma":[0.9918294,0.0010186802,0.0005288305,0.006208747,0.0002988927,0.000115449395],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.0014737763,0.00025481387,0.00039178875,0.0006090125,0.0023105366,0.0007464746,0.045320176,0.00010384382,0.00008150246],"category_scores_gemma":[0.003974224,0.00024589835,0.00012926052,0.0037216088,0.00011372985,0.00037493804,0.047600795,0.004042342,0.0000072585294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051956562,0.0020564431,0.0043210946,0.0000064586675,0.0007573952,0.00010663861,0.00032859424,0.9359359,0.0010711845,0.0019718178,0.040956605,0.01243588],"study_design_scores_gemma":[0.000560431,0.00008858602,0.0041430593,0.000026579512,0.000043051314,0.00015219969,0.000042262865,0.99075764,0.0001452103,0.001147649,0.0026255292,0.00026776904],"about_ca_topic_score_codex":0.00007501721,"about_ca_topic_score_gemma":0.0000899696,"teacher_disagreement_score":0.78029364,"about_ca_system_score_codex":0.0006071367,"about_ca_system_score_gemma":0.00024343158,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W3195867781","doi":"10.1109/jsac.2021.3094600","title":"Guest Editorial Latest Advances in Optical Networks for 5G Communications and Beyond","year":2021,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":4,"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":"University of California, Davis; University of Waterloo","keywords":"Computer science; Telecommunications; Field (mathematics); Computer network; Data science","score_opus":0.014445757960225328,"score_gpt":0.30368581161782526,"score_spread":0.2892400536575999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195867781","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000055437362,0.054040696,0.0013512236,0.00073775864,0.9377416,0.001110507,0.00026139885,0.00023330282,0.004468097],"genre_scores_gemma":[0.026826093,0.2404933,0.0076941894,0.000034439818,0.72197944,0.0009788821,0.0016816553,0.0002453303,0.00006669462],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958392,0.0007338268,0.0017324197,0.00041227433,0.00062890846,0.00065340986],"domain_scores_gemma":[0.9815745,0.011919576,0.0004981022,0.0044592707,0.0012957866,0.00025280807],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0012792703,0.00059039093,0.0010318856,0.0006274961,0.00054370955,0.0003079205,0.0037796407,0.0012028611,0.000005420572],"category_scores_gemma":[0.0018802992,0.0006775094,0.00015524265,0.0013454821,0.00034072893,0.0005148632,0.0003203298,0.006832003,0.0000054084844],"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":[0.000099590994,0.0005325604,0.00011793469,0.0001382533,0.00016103027,0.00000681025,0.0005440742,0.032664258,0.00011187236,0.0004914626,0.9622277,0.0029044712],"study_design_scores_gemma":[0.0015805267,0.00010944953,0.000030107545,0.0011089575,0.000052836676,0.000028906145,0.000142465,0.027114445,0.000025112098,0.00036925715,0.9688405,0.000597482],"about_ca_topic_score_codex":0.000022195509,"about_ca_topic_score_gemma":0.0025758517,"teacher_disagreement_score":0.21576215,"about_ca_system_score_codex":0.0010610223,"about_ca_system_score_gemma":0.0005905421,"threshold_uncertainty_score":0.9995676},"labels":[],"label_agreement":null},{"id":"W3205260830","doi":"10.1109/jsac.2021.3118352","title":"Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":288,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of Waterloo","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Internet of Things; Distributed computing; Distributed learning; Artificial intelligence; World Wide Web","score_opus":0.11912088820383555,"score_gpt":0.3230193121981485,"score_spread":0.20389842399431296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205260830","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09811738,0.0012024107,0.8587138,0.03887844,0.00061280385,0.00050755485,0.0000384566,0.0009903053,0.00093882054],"genre_scores_gemma":[0.6340483,0.0005284476,0.36511472,0.00009964485,0.000032772256,0.000036520414,0.00010260955,0.000017692082,0.00001930255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965007,0.0013933775,0.0007603388,0.00044241227,0.0003750869,0.00052811106],"domain_scores_gemma":[0.9928238,0.00073199125,0.0003474639,0.0055489866,0.00042685482,0.00012091006],"candidate_categories":["metaresearch","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.0010407277,0.000232286,0.00034457011,0.0005376818,0.00062323996,0.0006176564,0.01744532,0.00028823534,0.0000073070446],"category_scores_gemma":[0.024635375,0.00024422543,0.00006638912,0.004332922,0.00009748631,0.00043376646,0.014469063,0.004119638,0.000010157793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043326916,0.025496699,0.126001,0.00010008927,0.0011945174,0.0026289832,0.0068837535,0.382053,0.042034447,0.008098418,0.13469018,0.27038565],"study_design_scores_gemma":[0.00223768,0.0000749,0.0045930794,0.0003248368,0.000008985006,0.00033949112,0.00029827535,0.98489827,0.0025271948,0.0017181713,0.0025964258,0.00038267265],"about_ca_topic_score_codex":0.00004544764,"about_ca_topic_score_gemma":0.00019447194,"teacher_disagreement_score":0.6028453,"about_ca_system_score_codex":0.0007331217,"about_ca_system_score_gemma":0.00069603947,"threshold_uncertainty_score":0.9981779},"labels":[],"label_agreement":null},{"id":"W3206341804","doi":"10.1109/jsac.2021.3119144","title":"Buffer-Aware Virtual Reality Video Streaming With Personalized and Private Viewport Prediction","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China","keywords":"Viewport; Computer science; Virtual reality; Video streaming; Buffer (optical fiber); Multimedia; Computer network; Computer graphics (images); Human–computer interaction; Telecommunications","score_opus":0.04789369017192728,"score_gpt":0.3278742425291593,"score_spread":0.279980552357232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206341804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32630518,0.0010294579,0.65124696,0.018918982,0.00029635322,0.00041049748,0.00004084531,0.00023735131,0.0015143657],"genre_scores_gemma":[0.9814283,0.0017770897,0.015921645,0.00061065063,0.000065234904,0.00002293156,0.000035980258,0.000014109311,0.00012405188],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99752593,0.00093335303,0.0005117125,0.0003111036,0.0004457652,0.00027212876],"domain_scores_gemma":[0.99728245,0.000453243,0.0002670634,0.0012708573,0.00057257776,0.00015380344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007607208,0.00017725125,0.00026471907,0.0001705223,0.0005552048,0.00035943463,0.00088773924,0.000077513985,0.0000117951595],"category_scores_gemma":[0.00016007897,0.00015691531,0.000048865593,0.000989066,0.0001147451,0.00070543017,0.00021738635,0.0008782343,0.0000033516387],"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":[0.0009824886,0.013369654,0.17606662,0.0003537079,0.002232588,0.0019589802,0.045953806,0.0057454836,0.038114816,0.32614356,0.014119654,0.37495863],"study_design_scores_gemma":[0.011150159,0.002823458,0.70288444,0.0039806464,0.0002974683,0.007947755,0.0043605273,0.19042583,0.014262579,0.012064913,0.047573585,0.0022286451],"about_ca_topic_score_codex":0.000038350372,"about_ca_topic_score_gemma":0.00022939955,"teacher_disagreement_score":0.6551231,"about_ca_system_score_codex":0.00023089719,"about_ca_system_score_gemma":0.0005249292,"threshold_uncertainty_score":0.639882},"labels":[],"label_agreement":null},{"id":"W3210260041","doi":"10.1109/jsac.2022.3196320","title":"Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); Memorial University of Newfoundland","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Computer science; Beamforming; Telecommunications; Wireless; Communications system; Antenna array; Antenna (radio); Electronic engineering; Electrical engineering; Engineering","score_opus":0.03539496937769199,"score_gpt":0.26721727149079666,"score_spread":0.23182230211310467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210260041","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.162492,0.11221841,0.62603885,0.06261336,0.0042427233,0.0037823657,0.00059690134,0.00230407,0.025711317],"genre_scores_gemma":[0.98088956,0.011880148,0.0063117514,0.00027016862,0.00013459331,0.00014942713,0.00006599143,0.00005115081,0.00024718588],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844986,0.00040215062,0.00047470062,0.00014748669,0.00018574671,0.0003400637],"domain_scores_gemma":[0.9973634,0.0008186228,0.00014498214,0.0013387867,0.0002177306,0.000116507894],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005681875,0.00018197614,0.00029208153,0.0003681084,0.0014035384,0.00010024831,0.0011570121,0.000058889204,0.000022331573],"category_scores_gemma":[0.00005472406,0.00020039083,0.00010679854,0.0012672794,0.00009781267,0.00014666372,0.0001447769,0.0012148578,0.000004032328],"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":[0.0007781019,0.005743056,0.038160056,0.00030241473,0.005465879,0.00012774226,0.017216424,0.06369922,0.7468354,0.025865253,0.04039763,0.055408843],"study_design_scores_gemma":[0.0018730325,0.0002278179,0.003051456,0.0002157455,0.0002381049,0.00050488295,0.0020252403,0.7811152,0.00020262417,0.0058764196,0.20393783,0.0007316802],"about_ca_topic_score_codex":0.000017030028,"about_ca_topic_score_gemma":0.00025453206,"teacher_disagreement_score":0.8183976,"about_ca_system_score_codex":0.00029344374,"about_ca_system_score_gemma":0.000097228825,"threshold_uncertainty_score":0.9998965},"labels":[],"label_agreement":null},{"id":"W3212036903","doi":"10.1109/jsac.2021.3126057","title":"A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Research (Canada); University of British Columbia","funders":"Ministry of Education; Ministry of Science and ICT, South Korea; Singapore University of Technology and Design; Neurosciences Research Foundation; American Institutes for Research","keywords":"Computer science; Incentive; Coding (social sciences); Computation; Artificial intelligence","score_opus":0.0994461860795624,"score_gpt":0.3482428008676542,"score_spread":0.24879661478809179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212036903","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20404178,0.00025253845,0.75523126,0.039062936,0.00017745691,0.00025738517,0.0000032313167,0.00038610326,0.0005873083],"genre_scores_gemma":[0.75106275,0.00034304534,0.24836056,0.00014492172,0.000014970374,0.000037361795,0.00001586618,0.000011697685,0.000008806493],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99571854,0.0024566795,0.0006714721,0.00034846633,0.00035942672,0.00044542574],"domain_scores_gemma":[0.9934257,0.0022289797,0.00031193875,0.0034091303,0.000529948,0.000094253795],"candidate_categories":["metaresearch","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.0011638909,0.00017209398,0.00026268835,0.0004532439,0.0004977799,0.00042193965,0.010200012,0.00015166042,0.00000936364],"category_scores_gemma":[0.043943033,0.0001813592,0.000040661223,0.003264056,0.0001008695,0.00067529554,0.008414734,0.0026199229,0.0000117683285],"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":[0.00059277756,0.012527091,0.23273161,0.000101869904,0.00067989004,0.001835588,0.019516671,0.12304564,0.14003435,0.0327284,0.032383036,0.40382308],"study_design_scores_gemma":[0.0009391615,0.00013660456,0.03276733,0.00043491702,0.0000061675305,0.00009264736,0.00017699153,0.9036591,0.015550237,0.045751423,0.0002058309,0.00027960964],"about_ca_topic_score_codex":0.00002536756,"about_ca_topic_score_gemma":0.00013742736,"teacher_disagreement_score":0.7806134,"about_ca_system_score_codex":0.000507763,"about_ca_system_score_gemma":0.0005239004,"threshold_uncertainty_score":0.99968106},"labels":[],"label_agreement":null},{"id":"W3213057597","doi":"10.1109/jsac.2021.3126074","title":"Efficient Residual Shrinkage CNN Denoiser Design for Intelligent Signal Processing: Modulation Recognition, Detection, and Decoding","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Convolutional neural network; Noise reduction; Decoding methods; Artificial intelligence; Signal processing; Speech recognition; Pattern recognition (psychology); Algorithm; Digital signal processing","score_opus":0.09451946008476451,"score_gpt":0.3089147766821053,"score_spread":0.2143953165973408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213057597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079740286,0.0003223415,0.91695493,0.0022470544,0.00013652843,0.00041725344,0.0000040515033,0.00009913816,0.00007842747],"genre_scores_gemma":[0.86817145,0.00014765566,0.13126187,0.00012938185,0.0001030919,0.00011729949,0.000018951136,0.000022067632,0.000028224164],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974398,0.0007220032,0.00075062795,0.00041345487,0.00037452692,0.00029959835],"domain_scores_gemma":[0.9957584,0.0011042377,0.00043423302,0.00070274365,0.0018502416,0.0001501217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010404052,0.00019891279,0.0002138273,0.00049044087,0.0009277509,0.0004934028,0.00073677255,0.00013080597,0.000010166188],"category_scores_gemma":[0.00048338316,0.00021334186,0.000055905606,0.0014353088,0.00007031052,0.00037565312,0.00010215647,0.0005395463,0.000009488164],"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":[0.00015951795,0.0012195202,0.0010224826,0.000053496602,0.000086458705,0.000013413803,0.002760319,0.33278584,0.09028181,0.0037818032,0.00027794228,0.5675574],"study_design_scores_gemma":[0.00060636894,0.00011780331,0.010666797,0.00021452311,0.00002052513,0.00016564553,0.000099910576,0.9488475,0.031062566,0.007691973,0.00024221363,0.00026421816],"about_ca_topic_score_codex":0.0000038811304,"about_ca_topic_score_gemma":0.000057699835,"teacher_disagreement_score":0.78843117,"about_ca_system_score_codex":0.0003798939,"about_ca_system_score_gemma":0.00044228064,"threshold_uncertainty_score":0.86998284},"labels":[],"label_agreement":null},{"id":"W4205407795","doi":"10.1109/jsac.2022.3143211","title":"RIS-Assisted Joint Transmission in a Two-Cell Downlink NOMA Cellular System","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Qatar National Research Fund; Concordia University","keywords":"Telecommunications link; Computer science; Base station; Optimization problem; Noma; Transmission (telecommunications); Mathematical optimization; Interference (communication); Convex optimization; Enhanced Data Rates for GSM Evolution; Single antenna interference cancellation; Linear programming; Computer network; Algorithm; Regular polygon; Telecommunications; Mathematics","score_opus":0.02638300017207069,"score_gpt":0.26026325917871335,"score_spread":0.23388025900664267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205407795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89007616,0.017489534,0.068622425,0.0037147591,0.00089180557,0.0015751421,0.00008423007,0.0031457744,0.014400152],"genre_scores_gemma":[0.9857882,0.0016676714,0.012083732,0.000035199897,0.000019463181,0.00026274624,0.000044546592,0.00006570894,0.000032701715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973612,0.0007333195,0.00096573355,0.00019516092,0.00034906072,0.0003955324],"domain_scores_gemma":[0.99709,0.00038518914,0.00024319412,0.0020525253,0.00013034472,0.000098792705],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005856429,0.00026114366,0.00039027946,0.0010065017,0.00062941184,0.00005506038,0.0023015058,0.00009803124,0.000040497627],"category_scores_gemma":[0.000049903538,0.00028705288,0.000099426645,0.0021919303,0.00007780464,0.0001802299,0.0002334183,0.003297692,0.000017091821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006730113,0.0010988839,0.0007717719,0.00008598215,0.00006008025,0.00009235079,0.0011997826,0.81079805,0.15255775,0.0016315705,0.0007278293,0.030908644],"study_design_scores_gemma":[0.006987429,0.00038355187,0.0075726397,0.0012243271,0.000057379668,0.0006242564,0.006647082,0.8709792,0.06702624,0.0016562847,0.035252772,0.0015888192],"about_ca_topic_score_codex":0.000034577293,"about_ca_topic_score_gemma":0.00010264126,"teacher_disagreement_score":0.09571205,"about_ca_system_score_codex":0.0016818298,"about_ca_system_score_gemma":0.00011401927,"threshold_uncertainty_score":0.99995816},"labels":[],"label_agreement":null},{"id":"W4205426731","doi":"10.1109/jsac.2022.3143220","title":"Interference Nulling Using Reconfigurable Intelligent Surface","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Huawei Technologies","keywords":"Interference (communication); Projection (relational algebra); Channel (broadcasting); Computer science; Null (SQL); Topology (electrical circuits); Transceiver; Notation; Mathematical notation; Algorithm; Mathematics; Wireless; Combinatorics; Telecommunications; Database; Arithmetic","score_opus":0.06788044082274267,"score_gpt":0.30271049559959246,"score_spread":0.2348300547768498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205426731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8754112,0.0068972637,0.10673419,0.0014746296,0.0009366759,0.00049662415,0.000037693575,0.0013333848,0.0066783247],"genre_scores_gemma":[0.9795042,0.0051424643,0.015153151,0.000050608625,0.000014571439,0.000038034308,0.000012165606,0.00004596125,0.000038837192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984385,0.00032381536,0.0005845845,0.00013776969,0.00020439354,0.0003109703],"domain_scores_gemma":[0.9975463,0.00048410246,0.00017456304,0.0015668676,0.00016585599,0.00006232374],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00040851196,0.00018098117,0.00023091746,0.00039327686,0.0007253435,0.00006914206,0.0023969156,0.000064044005,0.00013607401],"category_scores_gemma":[0.0001406626,0.0002107839,0.00005379831,0.0013724514,0.000086481974,0.00020548102,0.00022013836,0.002503213,0.000014492803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011668129,0.00011085337,0.00037428614,0.0000045875904,0.000030423007,0.000003201246,0.00037404476,0.97405434,0.016687293,0.00074973167,0.00024161917,0.007357961],"study_design_scores_gemma":[0.00051159156,0.00016254449,0.00031820624,0.0003031393,0.00001654508,0.0004023905,0.0028885975,0.9242027,0.044610687,0.0051443847,0.020776102,0.0006631395],"about_ca_topic_score_codex":0.000018031878,"about_ca_topic_score_gemma":0.0000521223,"teacher_disagreement_score":0.10409299,"about_ca_system_score_codex":0.0010382009,"about_ca_system_score_gemma":0.000092367336,"threshold_uncertainty_score":0.99979806},"labels":[],"label_agreement":null},{"id":"W4210439023","doi":"10.1109/jsac.2022.3145234","title":"Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":551,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Noma; Computer science; Telecommunications link; Wireless; Computer network; Wireless network; Physical layer; Flexibility (engineering); Distributed computing; Telecommunications","score_opus":0.12048537971916876,"score_gpt":0.3249627518277547,"score_spread":0.20447737210858594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210439023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6113448,0.005109025,0.37722576,0.0026129992,0.0008669024,0.0011903308,0.00016246599,0.00078037486,0.0007073337],"genre_scores_gemma":[0.9811663,0.0015902732,0.016576478,0.000028693736,0.000043732703,0.00046885328,0.00007591998,0.00003910371,0.000010670005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986499,0.00020689565,0.00058830174,0.000120444485,0.00021631455,0.00021814962],"domain_scores_gemma":[0.99757576,0.0005558021,0.00025614374,0.0012567787,0.00031473278,0.000040809122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000311525,0.00014539584,0.00022361084,0.0005585757,0.000515716,0.00005382181,0.0021509277,0.00007712791,0.00001999308],"category_scores_gemma":[0.000354544,0.00017005572,0.00007393478,0.0011469647,0.000077547644,0.0005198308,0.0002597997,0.00091896515,0.000001726562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004510693,0.00031672194,0.0024448922,0.00002165895,0.00005416219,5.9954164e-7,0.00036302354,0.9017721,0.076372325,0.0041427454,0.0019766975,0.012489977],"study_design_scores_gemma":[0.0013316114,0.00021856859,0.0053920113,0.00006559597,0.000019542596,0.000049734528,0.00079272,0.95188683,0.024783669,0.004539973,0.01056358,0.00035618065],"about_ca_topic_score_codex":0.00001677094,"about_ca_topic_score_gemma":0.00014031779,"teacher_disagreement_score":0.36982146,"about_ca_system_score_codex":0.00090575975,"about_ca_system_score_gemma":0.000110370376,"threshold_uncertainty_score":0.6934671},"labels":[],"label_agreement":null},{"id":"W4212792399","doi":"10.1109/jsac.2019.2938456","title":"IEEE Journal on Selected Areas in Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.05444221411786272,"score_gpt":0.3015235109881042,"score_spread":0.2470812968702415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212792399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92583615,0.002308081,0.009130968,0.035973843,0.003422555,0.00184446,0.000018173096,0.00078857655,0.02067719],"genre_scores_gemma":[0.99102795,0.0016329667,0.0060553206,0.0007670585,0.000119221564,0.00005605713,0.000012825612,0.000040172807,0.0002884522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994503,0.0021700843,0.0013538703,0.00042868304,0.0007800036,0.00076432095],"domain_scores_gemma":[0.9911468,0.0012567897,0.00085286214,0.0053006285,0.0011891685,0.0002537275],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019824295,0.00039495042,0.0005807309,0.0017984017,0.00094023685,0.00036981914,0.008769136,0.0003907353,0.000035288267],"category_scores_gemma":[0.00071073003,0.00037933385,0.00015165214,0.004109358,0.0001979101,0.00069237343,0.00014380256,0.0048482995,0.00033076154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092604203,0.021344742,0.43606785,0.000116053605,0.0016854015,0.0004074379,0.013810456,0.015704885,0.2458287,0.15863837,0.055584107,0.04988596],"study_design_scores_gemma":[0.024694612,0.005150956,0.6021315,0.00927947,0.00024568048,0.01434998,0.0021440906,0.13048935,0.04656641,0.02597041,0.13336867,0.005608904],"about_ca_topic_score_codex":0.000054904038,"about_ca_topic_score_gemma":0.00073282706,"teacher_disagreement_score":0.19926229,"about_ca_system_score_codex":0.00094753416,"about_ca_system_score_gemma":0.00071183115,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W4214828252","doi":"10.1109/jsac.2022.3155496","title":"Active Sensing for Communications by Learning","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Science and Engineering Research Council; Huawei Technologies","keywords":"Computer science; Channel state information; Frame (networking); Wireless; Channel (broadcasting); Deep learning; Beamforming; Artificial intelligence; Exploit; Machine learning; Telecommunications","score_opus":0.02444263985850341,"score_gpt":0.27502468229122135,"score_spread":0.2505820424327179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214828252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40864822,0.014876454,0.46702302,0.03337648,0.0036810648,0.0049478617,0.0011458637,0.008431451,0.057869595],"genre_scores_gemma":[0.99243224,0.0014161792,0.0055608503,0.0001273732,0.000023550074,0.00014610236,0.00014446052,0.000046309684,0.000102916405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987952,0.00030244546,0.00037069464,0.000100810765,0.00017029248,0.0002605314],"domain_scores_gemma":[0.997952,0.0007076367,0.00012118599,0.00097528007,0.00019711588,0.000046792007],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003218159,0.00013667379,0.00017631985,0.00035791795,0.0015113454,0.00006187775,0.0013025173,0.00006970069,0.000032853866],"category_scores_gemma":[0.00022985422,0.00015893995,0.00006331072,0.0008396353,0.00008970138,0.000120461984,0.00017286425,0.0017526753,0.000005834958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018701643,0.0009795622,0.0015766852,0.000043463653,0.00048749323,0.000008192977,0.006953936,0.6667353,0.040208403,0.012418079,0.09388707,0.17651483],"study_design_scores_gemma":[0.0013461524,0.00025437202,0.0004347349,0.00006924616,0.000042638985,0.00015911266,0.0038099908,0.52632993,0.009605005,0.002866865,0.45455527,0.00052668765],"about_ca_topic_score_codex":0.0000100352545,"about_ca_topic_score_gemma":0.00005122869,"teacher_disagreement_score":0.58378404,"about_ca_system_score_codex":0.0005353472,"about_ca_system_score_gemma":0.00006625658,"threshold_uncertainty_score":0.9997885},"labels":[],"label_agreement":null},{"id":"W4214847706","doi":"10.1109/jsac.2022.3143255","title":"Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Australian Research Council; National Natural Science Foundation of China","keywords":"Computer science; Joint (building); Internet of Things; Computer network; Computer security; Telecommunications","score_opus":0.05573457718618513,"score_gpt":0.3082544847560607,"score_spread":0.2525199075698756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214847706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8521263,0.0006027517,0.14083074,0.0033386534,0.00041295783,0.0010859432,0.00009285686,0.0008112109,0.0006985942],"genre_scores_gemma":[0.9931536,0.0011980454,0.0049554734,0.000057870548,0.000015949356,0.0005592164,0.000028355616,0.000024574665,0.000006949734],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888134,0.00019424495,0.00043247963,0.00009389658,0.00018698795,0.00021106048],"domain_scores_gemma":[0.9980895,0.00044945028,0.0002733764,0.00089795794,0.00023646788,0.000053248586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031436427,0.00015387086,0.00019914747,0.0007024692,0.0009026509,0.00013777494,0.0010159438,0.000086656284,0.000010876077],"category_scores_gemma":[0.000300266,0.00017356695,0.000046898946,0.0010387704,0.00007484772,0.00066322566,0.0002878038,0.0013729476,0.0000018798005],"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":[0.00028506134,0.0003525986,0.00032163074,0.000053627668,0.00014482797,0.0000013952315,0.00086897844,0.44698268,0.05392698,0.00093106355,0.000734446,0.4953967],"study_design_scores_gemma":[0.005446256,0.0006451379,0.0719935,0.00018498584,0.00006274456,0.00035977777,0.0021795323,0.78888136,0.08340314,0.007988578,0.037772384,0.001082619],"about_ca_topic_score_codex":0.000011881137,"about_ca_topic_score_gemma":0.00014115563,"teacher_disagreement_score":0.49431407,"about_ca_system_score_codex":0.0006658792,"about_ca_system_score_gemma":0.000061949155,"threshold_uncertainty_score":0.7077854},"labels":[],"label_agreement":null},{"id":"W4214866728","doi":"10.1109/jsac.2022.3155515","title":"Generalized Transceiver Beamforming for DFRC With MIMO Radar and MU-MIMO Communication","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":212,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Beamforming; MIMO; Computer science; 3G MIMO; Radar; Electronic engineering; Telecommunications; Engineering","score_opus":0.022068869011231916,"score_gpt":0.2499649836866108,"score_spread":0.22789611467537887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214866728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9389848,0.011196223,0.042269375,0.002390184,0.00029707307,0.0011460147,0.000086687505,0.0003024858,0.003327148],"genre_scores_gemma":[0.9751337,0.0009410094,0.023498755,0.00009612066,0.000041079893,0.00014295019,0.000037117752,0.00004981324,0.000059418548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874467,0.0002466622,0.00043246124,0.00011745135,0.00022015645,0.00023857427],"domain_scores_gemma":[0.998734,0.0003085687,0.00013393446,0.0005949608,0.00014518305,0.000083385334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052006356,0.00016404319,0.00024609728,0.00025621825,0.0011553235,0.00010572727,0.0006705502,0.00004934118,0.000016365186],"category_scores_gemma":[0.000023048418,0.00015644533,0.00004837946,0.0005247609,0.000059577367,0.00023650125,0.000033464104,0.00083914987,6.4795074e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011854534,0.0013033954,0.003507636,0.0004695765,0.0011411095,0.000034935874,0.023808587,0.7946201,0.08364887,0.010490378,0.009718629,0.07007135],"study_design_scores_gemma":[0.013278334,0.0013081282,0.005564668,0.0014429677,0.00031393694,0.0025125202,0.004806001,0.73843217,0.004846643,0.0040852376,0.22131221,0.0020971806],"about_ca_topic_score_codex":0.000040694315,"about_ca_topic_score_gemma":0.00021772804,"teacher_disagreement_score":0.21159357,"about_ca_system_score_codex":0.00023895878,"about_ca_system_score_gemma":0.00008855704,"threshold_uncertainty_score":0.8885931},"labels":[],"label_agreement":null},{"id":"W4220716396","doi":"10.1109/jsac.2022.3155523","title":"Rethinking Doppler Effect for Accurate Velocity Estimation With Commodity WiFi Devices","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"China Postdoctoral Science Foundation; Chinese Academy of Sciences; National Natural Science Foundation of China; Nanyang Technological University","keywords":"Computer science; Doppler effect; Telecommunications; Commodity; Estimation; Real-time computing","score_opus":0.030598049709833913,"score_gpt":0.28100655394572893,"score_spread":0.250408504235895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220716396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7706531,0.00064264465,0.22070059,0.0023615486,0.0006636991,0.001370057,0.00014229107,0.0014383432,0.002027713],"genre_scores_gemma":[0.9886705,0.000103938764,0.010586083,0.0001071026,0.000025935915,0.00036338926,0.000096846445,0.000033655546,0.000012530179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880177,0.0002745757,0.0003408642,0.00011227414,0.00023601242,0.00023447885],"domain_scores_gemma":[0.99828374,0.0007586792,0.0001479855,0.00059145037,0.00017792662,0.00004022817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006410363,0.00016113163,0.00021085668,0.0003712027,0.0010205259,0.000095128555,0.0008495771,0.00007451107,0.000021456011],"category_scores_gemma":[0.00018485855,0.0001464119,0.00004541265,0.0011179971,0.000062055464,0.0002055139,0.00006986228,0.0011417106,0.0000027682909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016226615,0.000149375,0.003329042,0.000059981972,0.00011995025,0.0000050869103,0.0013930453,0.9724948,0.00040833012,0.0028430745,0.004810402,0.014224651],"study_design_scores_gemma":[0.0015503083,0.00048314926,0.0057810256,0.00015194865,0.000054949174,0.00019204471,0.00017813225,0.9738955,0.005173688,0.004574118,0.0075668953,0.00039827335],"about_ca_topic_score_codex":0.000009409483,"about_ca_topic_score_gemma":0.00017796233,"teacher_disagreement_score":0.2180174,"about_ca_system_score_codex":0.00042675665,"about_ca_system_score_gemma":0.00007414952,"threshold_uncertainty_score":0.78491634},"labels":[],"label_agreement":null},{"id":"W4220901917","doi":"10.1109/jsac.2021.3139485","title":"Special Issue on Next Generation Multiple Access—Part I","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Computer science; Wireless network; Wireless; Computer network; Radio resource management; Code division multiple access; Next-generation network; Telecommunications","score_opus":0.09223136267715082,"score_gpt":0.3140766991530618,"score_spread":0.22184533647591098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220901917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78361386,0.005758925,0.012648741,0.033505846,0.015577813,0.003590746,0.00039622514,0.0065529086,0.13835494],"genre_scores_gemma":[0.99016887,0.0045752604,0.002855718,0.00028619514,0.0015522973,0.00026724988,0.00009712318,0.00005954632,0.0001377141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982987,0.00036039547,0.00055088714,0.00016317688,0.00033756305,0.00028925284],"domain_scores_gemma":[0.99725896,0.00049717305,0.00017670795,0.0018532628,0.00014653467,0.00006738266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002796229,0.00020338834,0.0002236945,0.00060542655,0.0009845959,0.00015668366,0.002758664,0.000084895786,0.00042539075],"category_scores_gemma":[0.0002952088,0.00023181518,0.00006085448,0.0013549301,0.00007903465,0.0004211535,0.00034390835,0.0022264635,0.000061280516],"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":[0.000037989743,0.0004571742,0.0006301045,0.000004619082,0.000050319395,0.000007020001,0.0003640754,0.8180801,0.00821565,0.0013077871,0.10808163,0.06276353],"study_design_scores_gemma":[0.0008687545,0.00018374012,0.0011774256,0.000059149854,0.000009515762,0.00007161346,0.00038164112,0.17517361,0.0074816863,0.00078233576,0.81337416,0.00043635647],"about_ca_topic_score_codex":0.000007410055,"about_ca_topic_score_gemma":0.00020466467,"teacher_disagreement_score":0.7052925,"about_ca_system_score_codex":0.00080415444,"about_ca_system_score_gemma":0.00007083321,"threshold_uncertainty_score":0.9673},"labels":[],"label_agreement":null},{"id":"W4223912276","doi":"10.1109/jsac.2021.3139737","title":"Guest Editorial Special Issue on Next Generation Multiple Access—Part II","year":2022,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"Menzies Centre for Australian Studies, King's College London, University of London; School of Electronic Engineering and Computer Science, Queen Mary University of London; Beijing University of Posts and Telecommunications","keywords":"Computer science; Wireless network; Wireless; Computer network; Radio resource management; Code division multiple access; Next-generation network; Random access; Telecommunications","score_opus":0.05149761875525063,"score_gpt":0.31482988997143374,"score_spread":0.26333227121618313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223912276","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037755177,0.0007852361,0.00008813555,0.0007449516,0.9924904,0.00054959976,0.00034281638,0.00086061924,0.0037606577],"genre_scores_gemma":[0.0044144876,0.027910387,0.00090266624,0.000040493836,0.9637756,0.0004709855,0.0020069345,0.00021160196,0.00026687616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995504,0.00065831357,0.0013733412,0.000454047,0.0014115722,0.00059872854],"domain_scores_gemma":[0.99144536,0.002867705,0.00067851756,0.004031299,0.00082638673,0.00015074271],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00064954686,0.0006778465,0.00076227065,0.0012445021,0.0017401759,0.00047811473,0.006801479,0.0011933976,0.00035755875],"category_scores_gemma":[0.0036609569,0.0007734943,0.00018216272,0.0016797215,0.00018651679,0.0007620742,0.00098003,0.010671903,0.000091848364],"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":[0.00006186061,0.00036802178,0.000008594495,0.000013486569,0.000092323025,0.000005216337,0.00015641065,0.04989103,0.00043756503,0.000054873693,0.9455636,0.003346989],"study_design_scores_gemma":[0.0009816753,0.0002665032,0.000007649752,0.0002300335,0.000030492276,0.0000075434755,0.000070179936,0.005007458,0.0007459474,0.0001687481,0.99181294,0.00067084096],"about_ca_topic_score_codex":0.000030492934,"about_ca_topic_score_gemma":0.00076517795,"teacher_disagreement_score":0.046249297,"about_ca_system_score_codex":0.0023745282,"about_ca_system_score_gemma":0.00048777802,"threshold_uncertainty_score":0.9995594},"labels":[],"label_agreement":null},{"id":"W4230203497","doi":"10.1109/jsac.2019.2922465","title":"IEEE Journal on Selected Areas in Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.05444221411786272,"score_gpt":0.3015235109881042,"score_spread":0.2470812968702415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230203497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92583615,0.002308081,0.009130968,0.035973843,0.003422555,0.00184446,0.000018173096,0.00078857655,0.02067719],"genre_scores_gemma":[0.99102795,0.0016329667,0.0060553206,0.0007670585,0.000119221564,0.00005605713,0.000012825612,0.000040172807,0.0002884522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994503,0.0021700843,0.0013538703,0.00042868304,0.0007800036,0.00076432095],"domain_scores_gemma":[0.9911468,0.0012567897,0.00085286214,0.0053006285,0.0011891685,0.0002537275],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019824295,0.00039495042,0.0005807309,0.0017984017,0.00094023685,0.00036981914,0.008769136,0.0003907353,0.000035288267],"category_scores_gemma":[0.00071073003,0.00037933385,0.00015165214,0.004109358,0.0001979101,0.00069237343,0.00014380256,0.0048482995,0.00033076154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092604203,0.021344742,0.43606785,0.000116053605,0.0016854015,0.0004074379,0.013810456,0.015704885,0.2458287,0.15863837,0.055584107,0.04988596],"study_design_scores_gemma":[0.024694612,0.005150956,0.6021315,0.00927947,0.00024568048,0.01434998,0.0021440906,0.13048935,0.04656641,0.02597041,0.13336867,0.005608904],"about_ca_topic_score_codex":0.000054904038,"about_ca_topic_score_gemma":0.00073282706,"teacher_disagreement_score":0.19926229,"about_ca_system_score_codex":0.00094753416,"about_ca_system_score_gemma":0.00071183115,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W4230848083","doi":"10.1109/jsac.2014.04.cover3","title":"Staff List","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"","field":"","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 Waterloo; Institut National de la Recherche Scientifique","funders":"King's College London; Universitat Pompeu Fabra; Drexel University; George Washington University; Jackson State University","keywords":"Computer science; Computer network; Telecommunications","score_opus":0.04088030239093019,"score_gpt":0.3229360583233427,"score_spread":0.2820557559324125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230848083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8575822,0.0005404908,0.0018090437,0.011938696,0.00072548765,0.00056084734,0.00008075344,0.0006151205,0.12614734],"genre_scores_gemma":[0.99473727,0.0002687786,0.0040712147,0.00029076575,0.00018989149,0.000028532742,0.0000340293,0.00009296757,0.00028655885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965801,0.0015805142,0.0006963651,0.0002006773,0.0004721926,0.00047012512],"domain_scores_gemma":[0.9951488,0.0011171075,0.0004220054,0.002348987,0.0007056151,0.00025749026],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012951808,0.00023192311,0.00030450206,0.0006936767,0.0006779177,0.0002109067,0.0022900824,0.00012020071,0.00015924209],"category_scores_gemma":[0.0013787121,0.00022490024,0.00009584018,0.0019564878,0.00019511001,0.00029317787,0.000117390955,0.0019767084,0.0011290057],"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":[0.0012423708,0.0212737,0.121214844,0.00005096182,0.00092195754,0.00008355391,0.008102756,0.01499201,0.16362557,0.1895621,0.40920305,0.069727145],"study_design_scores_gemma":[0.0049150246,0.0010669546,0.080227345,0.0007019424,0.00012533457,0.0010760163,0.00042254548,0.02650185,0.004353335,0.014100987,0.865139,0.0013696757],"about_ca_topic_score_codex":0.000052563697,"about_ca_topic_score_gemma":0.0014001966,"teacher_disagreement_score":0.45593596,"about_ca_system_score_codex":0.0005357766,"about_ca_system_score_gemma":0.00023918117,"threshold_uncertainty_score":0.99964875},"labels":[],"label_agreement":null},{"id":"W4232058940","doi":"10.1109/jsac.2020.3018975","title":"Guest Editorial Massive Access for 5G and Beyond—Part I","year":2021,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Zhejiang Province; University of New South Wales; Australian Research Council; Digital Grid Futures Institute, University of New South Wales Canberra; National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Computer science; Telecommunications; Wireless","score_opus":0.03274890403319378,"score_gpt":0.3372209805872697,"score_spread":0.3044720765540759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232058940","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000042271546,0.0008370424,0.0036090766,0.0020116156,0.99192446,0.00033106274,0.000017704113,0.000094852636,0.0011319167],"genre_scores_gemma":[0.00014887596,0.0019307624,0.0052198404,0.00011141394,0.9920819,0.000077563,0.00022424478,0.00004996945,0.00015544106],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963885,0.00062298455,0.0009226092,0.00056972564,0.0008966126,0.00059956015],"domain_scores_gemma":[0.98849285,0.005855733,0.0008157932,0.0019647528,0.0026265879,0.00024430882],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0011417762,0.0004231401,0.0006463587,0.0005497633,0.0010847165,0.0018959114,0.0056586335,0.00080663705,0.000001540222],"category_scores_gemma":[0.0029009955,0.00043123862,0.00016730293,0.0011898922,0.000116339346,0.0007237816,0.0006946029,0.0037099707,0.000006694106],"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":[0.00002529642,0.00018378574,0.00001995353,0.000024484454,0.00007548981,0.000011521306,0.00028122411,0.00003799147,0.000022322429,0.000118369375,0.9975908,0.0016087937],"study_design_scores_gemma":[0.0009848508,0.00017131297,0.000026367461,0.0005519685,0.00003992765,0.000025418922,0.000010643363,0.0017647749,0.00010101948,0.0013806298,0.994498,0.00044505953],"about_ca_topic_score_codex":0.000028725613,"about_ca_topic_score_gemma":0.000067338224,"teacher_disagreement_score":0.007895684,"about_ca_system_score_codex":0.00042834898,"about_ca_system_score_gemma":0.0020660318,"threshold_uncertainty_score":0.9998139},"labels":[],"label_agreement":null},{"id":"W4232955590","doi":"10.1109/jsac.2012.120901","title":"Guest Editorial Theories and Methods for Advanced Wireless Relays — Issue I","year":2012,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Wireless; Telecommunications; Computer network","score_opus":0.028693618622169254,"score_gpt":0.38480298849992683,"score_spread":0.3561093698777576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232955590","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012290936,0.007218912,0.09089599,0.0015618674,0.89870036,0.00070062786,0.000026559159,0.0001302502,0.00075317535],"genre_scores_gemma":[0.0007286652,0.04313222,0.109497055,0.0000984425,0.84562373,0.00040054828,0.000127926,0.000065704306,0.00032568685],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.994918,0.0025999914,0.0009633382,0.00044297348,0.00051413703,0.0005615607],"domain_scores_gemma":[0.9805124,0.01318992,0.0008028392,0.0029822509,0.0022521578,0.00026046892],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0034404418,0.00046767743,0.0007195478,0.00046471707,0.001318847,0.00060366315,0.005180944,0.0007264156,0.00000884346],"category_scores_gemma":[0.0035210364,0.0004450444,0.00013668678,0.0011093704,0.00023102804,0.0007806155,0.00083066,0.003895378,0.000009489919],"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":[0.000074925905,0.00024434127,0.00000848349,0.000019549396,0.0000803573,5.7658826e-7,0.0010949943,0.000019683339,0.0003511068,0.012446234,0.91867656,0.066983186],"study_design_scores_gemma":[0.0010585446,0.00019916853,0.000014527553,0.00042785096,0.00004050231,0.000013892453,0.000030995667,0.0019648147,0.00018160304,0.002370081,0.9932305,0.0004674838],"about_ca_topic_score_codex":0.0000046828845,"about_ca_topic_score_gemma":0.00010932843,"teacher_disagreement_score":0.074553974,"about_ca_system_score_codex":0.0003987723,"about_ca_system_score_gemma":0.0007484365,"threshold_uncertainty_score":0.9999813},"labels":[],"label_agreement":null},{"id":"W4234771995","doi":"10.1109/jsac.2014.2349631","title":"IEEE Communications Society Information","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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 Waterloo; Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.06243337712605035,"score_gpt":0.2558702963348722,"score_spread":0.19343691920882183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234771995","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035532407,0.0014747303,0.009855647,0.013152585,0.0037443403,0.0005365602,0.0003902546,0.0001808464,0.9351326],"genre_scores_gemma":[0.9837509,0.004671411,0.0065602832,0.0013744336,0.000106778585,0.000042590233,0.00004800453,0.000016413938,0.0034291851],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854934,0.0000883435,0.0008804765,0.00015255852,0.000054871907,0.00027439644],"domain_scores_gemma":[0.99710315,0.0003170209,0.0005841005,0.0017264527,0.00017547474,0.00009381208],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001296602,0.00013939866,0.0003010231,0.00032898996,0.0007623257,0.00023014778,0.0016797045,0.000091803435,0.00029321958],"category_scores_gemma":[0.00027456222,0.0001584926,0.00014137285,0.0006289709,0.00022296412,0.0007221684,0.00015640956,0.0006422577,0.004148904],"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":[0.00003188627,0.0008654131,0.020649413,0.000020668353,0.00033405222,3.70081e-7,0.0084329825,0.0019989938,0.000047953305,0.42844227,0.53076583,0.008410177],"study_design_scores_gemma":[0.00090400974,0.000056548153,0.008766107,0.000050491297,0.000010130538,0.000014205069,0.00057956186,0.033048034,0.000024214847,0.010941561,0.94530624,0.0002988696],"about_ca_topic_score_codex":0.00006384682,"about_ca_topic_score_gemma":0.00006925126,"teacher_disagreement_score":0.94821846,"about_ca_system_score_codex":0.0002888721,"about_ca_system_score_gemma":0.000047666734,"threshold_uncertainty_score":0.9966265},"labels":[],"label_agreement":null},{"id":"W4236165651","doi":"10.1109/jsac.2014.02.cover3","title":"Staff List","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"","field":"","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 Waterloo; Institut National de la Recherche Scientifique","funders":"Indian Institute of Technology Bombay; King's College London; Universitat Pompeu Fabra; Drexel University; Jackson State University; Arizona State University; George Washington University","keywords":"Computer science; Computer network","score_opus":0.04088030239093019,"score_gpt":0.3229360583233427,"score_spread":0.2820557559324125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236165651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8575822,0.0005404908,0.0018090437,0.011938696,0.00072548765,0.00056084734,0.00008075344,0.0006151205,0.12614734],"genre_scores_gemma":[0.99473727,0.0002687786,0.0040712147,0.00029076575,0.00018989149,0.000028532742,0.0000340293,0.00009296757,0.00028655885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965801,0.0015805142,0.0006963651,0.0002006773,0.0004721926,0.00047012512],"domain_scores_gemma":[0.9951488,0.0011171075,0.0004220054,0.002348987,0.0007056151,0.00025749026],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012951808,0.00023192311,0.00030450206,0.0006936767,0.0006779177,0.0002109067,0.0022900824,0.00012020071,0.00015924209],"category_scores_gemma":[0.0013787121,0.00022490024,0.00009584018,0.0019564878,0.00019511001,0.00029317787,0.000117390955,0.0019767084,0.0011290057],"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":[0.0012423708,0.0212737,0.121214844,0.00005096182,0.00092195754,0.00008355391,0.008102756,0.01499201,0.16362557,0.1895621,0.40920305,0.069727145],"study_design_scores_gemma":[0.0049150246,0.0010669546,0.080227345,0.0007019424,0.00012533457,0.0010760163,0.00042254548,0.02650185,0.004353335,0.014100987,0.865139,0.0013696757],"about_ca_topic_score_codex":0.000052563697,"about_ca_topic_score_gemma":0.0014001966,"teacher_disagreement_score":0.45593596,"about_ca_system_score_codex":0.0005357766,"about_ca_system_score_gemma":0.00023918117,"threshold_uncertainty_score":0.99964875},"labels":[],"label_agreement":null},{"id":"W4238976183","doi":"10.1109/jsac.2015.2476635","title":"IEEE Communications Society Information","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Institut National de la Recherche Scientifique; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.12742892880088053,"score_gpt":0.2789224988363914,"score_spread":0.1514935700355109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238976183","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040581215,0.00375455,0.0035069291,0.014861426,0.0048940177,0.0006303114,0.0005982003,0.00018927516,0.9309841],"genre_scores_gemma":[0.97865736,0.005561217,0.008623258,0.0013225991,0.00012136019,0.00005687764,0.00007164469,0.000020366173,0.0055652885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985758,0.00007153978,0.0008724652,0.00014341126,0.000067695655,0.00026906322],"domain_scores_gemma":[0.9972365,0.00017522948,0.0005583141,0.0015901641,0.00028749087,0.00015232642],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001312934,0.00013678282,0.00028970183,0.00033613987,0.0005096293,0.00023443742,0.001653926,0.00009149647,0.00016778657],"category_scores_gemma":[0.00028748275,0.00015526272,0.000121177814,0.0007363847,0.00022181481,0.00091275846,0.00018042738,0.00063158164,0.004723956],"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":[0.000034680073,0.0006623125,0.015551668,0.000008344923,0.00024002284,8.547857e-7,0.0118586365,0.0017168254,0.000011795852,0.11686347,0.8508983,0.0021530932],"study_design_scores_gemma":[0.0013739864,0.000070373724,0.004092828,0.00004657192,0.000011353024,0.00002698416,0.0023956385,0.016883463,0.000019613008,0.011834065,0.9629154,0.00032968205],"about_ca_topic_score_codex":0.00009838971,"about_ca_topic_score_gemma":0.00007663422,"teacher_disagreement_score":0.9380762,"about_ca_system_score_codex":0.00050994713,"about_ca_system_score_gemma":0.00012633117,"threshold_uncertainty_score":0.99605095},"labels":[],"label_agreement":null},{"id":"W4242396854","doi":"10.1109/jsac.2019.2908568","title":"IEEE Journal on Selected Areas in Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sensor Technology and Measurement Systems","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":"Canadian Standards Association; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.05444221411786272,"score_gpt":0.3015235109881042,"score_spread":0.2470812968702415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242396854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92583615,0.002308081,0.009130968,0.035973843,0.003422555,0.00184446,0.000018173096,0.00078857655,0.02067719],"genre_scores_gemma":[0.99102795,0.0016329667,0.0060553206,0.0007670585,0.000119221564,0.00005605713,0.000012825612,0.000040172807,0.0002884522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994503,0.0021700843,0.0013538703,0.00042868304,0.0007800036,0.00076432095],"domain_scores_gemma":[0.9911468,0.0012567897,0.00085286214,0.0053006285,0.0011891685,0.0002537275],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019824295,0.00039495042,0.0005807309,0.0017984017,0.00094023685,0.00036981914,0.008769136,0.0003907353,0.000035288267],"category_scores_gemma":[0.00071073003,0.00037933385,0.00015165214,0.004109358,0.0001979101,0.00069237343,0.00014380256,0.0048482995,0.00033076154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092604203,0.021344742,0.43606785,0.000116053605,0.0016854015,0.0004074379,0.013810456,0.015704885,0.2458287,0.15863837,0.055584107,0.04988596],"study_design_scores_gemma":[0.024694612,0.005150956,0.6021315,0.00927947,0.00024568048,0.01434998,0.0021440906,0.13048935,0.04656641,0.02597041,0.13336867,0.005608904],"about_ca_topic_score_codex":0.000054904038,"about_ca_topic_score_gemma":0.00073282706,"teacher_disagreement_score":0.19926229,"about_ca_system_score_codex":0.00094753416,"about_ca_system_score_gemma":0.00071183115,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W4244481796","doi":"10.1109/jsac.2014.2387454","title":"IEEE Communications Society Information","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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 Waterloo; Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.06243337712605035,"score_gpt":0.2558702963348722,"score_spread":0.19343691920882183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244481796","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035532407,0.0014747303,0.009855647,0.013152585,0.0037443403,0.0005365602,0.0003902546,0.0001808464,0.9351326],"genre_scores_gemma":[0.9837509,0.004671411,0.0065602832,0.0013744336,0.000106778585,0.000042590233,0.00004800453,0.000016413938,0.0034291851],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854934,0.0000883435,0.0008804765,0.00015255852,0.000054871907,0.00027439644],"domain_scores_gemma":[0.99710315,0.0003170209,0.0005841005,0.0017264527,0.00017547474,0.00009381208],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001296602,0.00013939866,0.0003010231,0.00032898996,0.0007623257,0.00023014778,0.0016797045,0.000091803435,0.00029321958],"category_scores_gemma":[0.00027456222,0.0001584926,0.00014137285,0.0006289709,0.00022296412,0.0007221684,0.00015640956,0.0006422577,0.004148904],"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":[0.00003188627,0.0008654131,0.020649413,0.000020668353,0.00033405222,3.70081e-7,0.0084329825,0.0019989938,0.000047953305,0.42844227,0.53076583,0.008410177],"study_design_scores_gemma":[0.00090400974,0.000056548153,0.008766107,0.000050491297,0.000010130538,0.000014205069,0.00057956186,0.033048034,0.000024214847,0.010941561,0.94530624,0.0002988696],"about_ca_topic_score_codex":0.00006384682,"about_ca_topic_score_gemma":0.00006925126,"teacher_disagreement_score":0.94821846,"about_ca_system_score_codex":0.0002888721,"about_ca_system_score_gemma":0.000047666734,"threshold_uncertainty_score":0.9966265},"labels":[],"label_agreement":null},{"id":"W4246737341","doi":"10.1109/jsac.2014.2339474","title":"IEEE Communications Society Information","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Institut National de la Recherche Scientifique; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.06243337712605035,"score_gpt":0.2558702963348722,"score_spread":0.19343691920882183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246737341","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035532407,0.0014747303,0.009855647,0.013152585,0.0037443403,0.0005365602,0.0003902546,0.0001808464,0.9351326],"genre_scores_gemma":[0.9837509,0.004671411,0.0065602832,0.0013744336,0.000106778585,0.000042590233,0.00004800453,0.000016413938,0.0034291851],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854934,0.0000883435,0.0008804765,0.00015255852,0.000054871907,0.00027439644],"domain_scores_gemma":[0.99710315,0.0003170209,0.0005841005,0.0017264527,0.00017547474,0.00009381208],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001296602,0.00013939866,0.0003010231,0.00032898996,0.0007623257,0.00023014778,0.0016797045,0.000091803435,0.00029321958],"category_scores_gemma":[0.00027456222,0.0001584926,0.00014137285,0.0006289709,0.00022296412,0.0007221684,0.00015640956,0.0006422577,0.004148904],"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":[0.00003188627,0.0008654131,0.020649413,0.000020668353,0.00033405222,3.70081e-7,0.0084329825,0.0019989938,0.000047953305,0.42844227,0.53076583,0.008410177],"study_design_scores_gemma":[0.00090400974,0.000056548153,0.008766107,0.000050491297,0.000010130538,0.000014205069,0.00057956186,0.033048034,0.000024214847,0.010941561,0.94530624,0.0002988696],"about_ca_topic_score_codex":0.00006384682,"about_ca_topic_score_gemma":0.00006925126,"teacher_disagreement_score":0.94821846,"about_ca_system_score_codex":0.0002888721,"about_ca_system_score_gemma":0.000047666734,"threshold_uncertainty_score":0.9966265},"labels":[],"label_agreement":null},{"id":"W4247511623","doi":"10.1109/jsac.2019.2929719","title":"IEEE Journal on Selected Areas in Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.05444221411786272,"score_gpt":0.3015235109881042,"score_spread":0.2470812968702415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247511623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92583615,0.002308081,0.009130968,0.035973843,0.003422555,0.00184446,0.000018173096,0.00078857655,0.02067719],"genre_scores_gemma":[0.99102795,0.0016329667,0.0060553206,0.0007670585,0.000119221564,0.00005605713,0.000012825612,0.000040172807,0.0002884522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994503,0.0021700843,0.0013538703,0.00042868304,0.0007800036,0.00076432095],"domain_scores_gemma":[0.9911468,0.0012567897,0.00085286214,0.0053006285,0.0011891685,0.0002537275],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019824295,0.00039495042,0.0005807309,0.0017984017,0.00094023685,0.00036981914,0.008769136,0.0003907353,0.000035288267],"category_scores_gemma":[0.00071073003,0.00037933385,0.00015165214,0.004109358,0.0001979101,0.00069237343,0.00014380256,0.0048482995,0.00033076154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092604203,0.021344742,0.43606785,0.000116053605,0.0016854015,0.0004074379,0.013810456,0.015704885,0.2458287,0.15863837,0.055584107,0.04988596],"study_design_scores_gemma":[0.024694612,0.005150956,0.6021315,0.00927947,0.00024568048,0.01434998,0.0021440906,0.13048935,0.04656641,0.02597041,0.13336867,0.005608904],"about_ca_topic_score_codex":0.000054904038,"about_ca_topic_score_gemma":0.00073282706,"teacher_disagreement_score":0.19926229,"about_ca_system_score_codex":0.00094753416,"about_ca_system_score_gemma":0.00071183115,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W4248240057","doi":"10.1109/jsac.2019.2932532","title":"IEEE Journal on Selected Areas in Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.05444221411786272,"score_gpt":0.3015235109881042,"score_spread":0.2470812968702415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248240057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92583615,0.002308081,0.009130968,0.035973843,0.003422555,0.00184446,0.000018173096,0.00078857655,0.02067719],"genre_scores_gemma":[0.99102795,0.0016329667,0.0060553206,0.0007670585,0.000119221564,0.00005605713,0.000012825612,0.000040172807,0.0002884522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994503,0.0021700843,0.0013538703,0.00042868304,0.0007800036,0.00076432095],"domain_scores_gemma":[0.9911468,0.0012567897,0.00085286214,0.0053006285,0.0011891685,0.0002537275],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019824295,0.00039495042,0.0005807309,0.0017984017,0.00094023685,0.00036981914,0.008769136,0.0003907353,0.000035288267],"category_scores_gemma":[0.00071073003,0.00037933385,0.00015165214,0.004109358,0.0001979101,0.00069237343,0.00014380256,0.0048482995,0.00033076154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092604203,0.021344742,0.43606785,0.000116053605,0.0016854015,0.0004074379,0.013810456,0.015704885,0.2458287,0.15863837,0.055584107,0.04988596],"study_design_scores_gemma":[0.024694612,0.005150956,0.6021315,0.00927947,0.00024568048,0.01434998,0.0021440906,0.13048935,0.04656641,0.02597041,0.13336867,0.005608904],"about_ca_topic_score_codex":0.000054904038,"about_ca_topic_score_gemma":0.00073282706,"teacher_disagreement_score":0.19926229,"about_ca_system_score_codex":0.00094753416,"about_ca_system_score_gemma":0.00071183115,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W4249590697","doi":"10.1109/jsac.2015.2425095","title":"IEEE Communications Society Information","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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 Waterloo; Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.12742892880088053,"score_gpt":0.2789224988363914,"score_spread":0.1514935700355109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249590697","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040581215,0.00375455,0.0035069291,0.014861426,0.0048940177,0.0006303114,0.0005982003,0.00018927516,0.9309841],"genre_scores_gemma":[0.97865736,0.005561217,0.008623258,0.0013225991,0.00012136019,0.00005687764,0.00007164469,0.000020366173,0.0055652885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985758,0.00007153978,0.0008724652,0.00014341126,0.000067695655,0.00026906322],"domain_scores_gemma":[0.9972365,0.00017522948,0.0005583141,0.0015901641,0.00028749087,0.00015232642],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001312934,0.00013678282,0.00028970183,0.00033613987,0.0005096293,0.00023443742,0.001653926,0.00009149647,0.00016778657],"category_scores_gemma":[0.00028748275,0.00015526272,0.000121177814,0.0007363847,0.00022181481,0.00091275846,0.00018042738,0.00063158164,0.004723956],"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":[0.000034680073,0.0006623125,0.015551668,0.000008344923,0.00024002284,8.547857e-7,0.0118586365,0.0017168254,0.000011795852,0.11686347,0.8508983,0.0021530932],"study_design_scores_gemma":[0.0013739864,0.000070373724,0.004092828,0.00004657192,0.000011353024,0.00002698416,0.0023956385,0.016883463,0.000019613008,0.011834065,0.9629154,0.00032968205],"about_ca_topic_score_codex":0.00009838971,"about_ca_topic_score_gemma":0.00007663422,"teacher_disagreement_score":0.9380762,"about_ca_system_score_codex":0.00050994713,"about_ca_system_score_gemma":0.00012633117,"threshold_uncertainty_score":0.99605095},"labels":[],"label_agreement":null},{"id":"W4249611202","doi":"10.1109/jsac.2019.2914599","title":"IEEE Journal on Selected Areas in Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sensor Technology and Measurement Systems","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":"Canadian Standards Association; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.05444221411786272,"score_gpt":0.3015235109881042,"score_spread":0.2470812968702415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249611202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92583615,0.002308081,0.009130968,0.035973843,0.003422555,0.00184446,0.000018173096,0.00078857655,0.02067719],"genre_scores_gemma":[0.99102795,0.0016329667,0.0060553206,0.0007670585,0.000119221564,0.00005605713,0.000012825612,0.000040172807,0.0002884522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994503,0.0021700843,0.0013538703,0.00042868304,0.0007800036,0.00076432095],"domain_scores_gemma":[0.9911468,0.0012567897,0.00085286214,0.0053006285,0.0011891685,0.0002537275],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019824295,0.00039495042,0.0005807309,0.0017984017,0.00094023685,0.00036981914,0.008769136,0.0003907353,0.000035288267],"category_scores_gemma":[0.00071073003,0.00037933385,0.00015165214,0.004109358,0.0001979101,0.00069237343,0.00014380256,0.0048482995,0.00033076154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092604203,0.021344742,0.43606785,0.000116053605,0.0016854015,0.0004074379,0.013810456,0.015704885,0.2458287,0.15863837,0.055584107,0.04988596],"study_design_scores_gemma":[0.024694612,0.005150956,0.6021315,0.00927947,0.00024568048,0.01434998,0.0021440906,0.13048935,0.04656641,0.02597041,0.13336867,0.005608904],"about_ca_topic_score_codex":0.000054904038,"about_ca_topic_score_gemma":0.00073282706,"teacher_disagreement_score":0.19926229,"about_ca_system_score_codex":0.00094753416,"about_ca_system_score_gemma":0.00071183115,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W4252030493","doi":"10.1109/jsac.2019.2944795","title":"IEEE Journal on Selected Areas in Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sensor Technology and Measurement Systems","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":"Canadian Standards Association; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Computer network; Telecommunications","score_opus":0.05444221411786272,"score_gpt":0.3015235109881042,"score_spread":0.2470812968702415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252030493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92583615,0.002308081,0.009130968,0.035973843,0.003422555,0.00184446,0.000018173096,0.00078857655,0.02067719],"genre_scores_gemma":[0.99102795,0.0016329667,0.0060553206,0.0007670585,0.000119221564,0.00005605713,0.000012825612,0.000040172807,0.0002884522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994503,0.0021700843,0.0013538703,0.00042868304,0.0007800036,0.00076432095],"domain_scores_gemma":[0.9911468,0.0012567897,0.00085286214,0.0053006285,0.0011891685,0.0002537275],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019824295,0.00039495042,0.0005807309,0.0017984017,0.00094023685,0.00036981914,0.008769136,0.0003907353,0.000035288267],"category_scores_gemma":[0.00071073003,0.00037933385,0.00015165214,0.004109358,0.0001979101,0.00069237343,0.00014380256,0.0048482995,0.00033076154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092604203,0.021344742,0.43606785,0.000116053605,0.0016854015,0.0004074379,0.013810456,0.015704885,0.2458287,0.15863837,0.055584107,0.04988596],"study_design_scores_gemma":[0.024694612,0.005150956,0.6021315,0.00927947,0.00024568048,0.01434998,0.0021440906,0.13048935,0.04656641,0.02597041,0.13336867,0.005608904],"about_ca_topic_score_codex":0.000054904038,"about_ca_topic_score_gemma":0.00073282706,"teacher_disagreement_score":0.19926229,"about_ca_system_score_codex":0.00094753416,"about_ca_system_score_gemma":0.00071183115,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W4255994121","doi":"10.1109/jsac.2019.2954226","title":"IEEE Journal on Selected Areas in Communications","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.05444221411786272,"score_gpt":0.3015235109881042,"score_spread":0.2470812968702415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255994121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92583615,0.002308081,0.009130968,0.035973843,0.003422555,0.00184446,0.000018173096,0.00078857655,0.02067719],"genre_scores_gemma":[0.99102795,0.0016329667,0.0060553206,0.0007670585,0.000119221564,0.00005605713,0.000012825612,0.000040172807,0.0002884522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994503,0.0021700843,0.0013538703,0.00042868304,0.0007800036,0.00076432095],"domain_scores_gemma":[0.9911468,0.0012567897,0.00085286214,0.0053006285,0.0011891685,0.0002537275],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019824295,0.00039495042,0.0005807309,0.0017984017,0.00094023685,0.00036981914,0.008769136,0.0003907353,0.000035288267],"category_scores_gemma":[0.00071073003,0.00037933385,0.00015165214,0.004109358,0.0001979101,0.00069237343,0.00014380256,0.0048482995,0.00033076154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092604203,0.021344742,0.43606785,0.000116053605,0.0016854015,0.0004074379,0.013810456,0.015704885,0.2458287,0.15863837,0.055584107,0.04988596],"study_design_scores_gemma":[0.024694612,0.005150956,0.6021315,0.00927947,0.00024568048,0.01434998,0.0021440906,0.13048935,0.04656641,0.02597041,0.13336867,0.005608904],"about_ca_topic_score_codex":0.000054904038,"about_ca_topic_score_gemma":0.00073282706,"teacher_disagreement_score":0.19926229,"about_ca_system_score_codex":0.00094753416,"about_ca_system_score_gemma":0.00071183115,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W4280644846","doi":"10.1109/jsac.2022.3192053","title":"Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"European Research Council; Engineering and Physical Sciences Research Council; China Scholarship Council","keywords":"Reinforcement learning; Computer science; Hybrid algorithm (constraint satisfaction); Markov decision process; Mathematical optimization; Algorithm; Transmission (telecommunications); Hybrid system; Markov process; Artificial intelligence; Constraint satisfaction; Mathematics; Telecommunications; Local consistency","score_opus":0.03506494440618202,"score_gpt":0.3007106753041846,"score_spread":0.2656457308980026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280644846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08144112,0.0008292382,0.91382587,0.0016004915,0.00013186326,0.00074346166,0.000041600317,0.0008500213,0.0005363458],"genre_scores_gemma":[0.96107364,0.0010155882,0.036478277,0.00015163296,0.000016288388,0.00092566357,0.00020572841,0.000074003656,0.000059165137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982064,0.00016427452,0.00071594067,0.0001597218,0.0003372589,0.00041640268],"domain_scores_gemma":[0.9972605,0.0007001684,0.00026703117,0.0014789001,0.00020904811,0.00008431579],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005166622,0.00023828594,0.000301112,0.0006108961,0.001193838,0.00006259859,0.0019573113,0.00005949517,0.000059534825],"category_scores_gemma":[0.00026984053,0.00027353817,0.00010649583,0.0007276104,0.00008304557,0.00022855478,0.00019350111,0.0021839198,0.0000044040867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082032275,0.00024611742,0.00003306139,0.000010506713,0.000047675494,9.874175e-7,0.00022073787,0.99131185,0.0033301061,0.0008078798,0.0005625215,0.003346497],"study_design_scores_gemma":[0.002031738,0.00028264557,0.000025812364,0.00005112648,0.00001607219,0.0000158187,0.00023546223,0.9773281,0.0020909677,0.001818029,0.015820218,0.00028399198],"about_ca_topic_score_codex":0.000005834106,"about_ca_topic_score_gemma":0.000021682381,"teacher_disagreement_score":0.87963253,"about_ca_system_score_codex":0.0009068558,"about_ca_system_score_gemma":0.00019156293,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W4281638644","doi":"10.1109/jsac.2022.3180799","title":"Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Interference (communication); Convergence (economics); Wireless; Transmission (telecommunications); Wireless network; Computer network; Optimization problem; Distributed computing; Channel (broadcasting); Algorithm; Telecommunications","score_opus":0.05358198947933894,"score_gpt":0.30888802746992366,"score_spread":0.2553060379905847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281638644","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06437098,0.0007410747,0.90548337,0.026765138,0.000596179,0.0009192988,0.000012353521,0.00049322686,0.0006183634],"genre_scores_gemma":[0.9414189,0.000745521,0.057046387,0.00035671555,0.000012483077,0.000309046,0.000019919333,0.000018180783,0.00007286863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976011,0.00086440635,0.000526326,0.00031408365,0.00026868095,0.00042540723],"domain_scores_gemma":[0.9938026,0.0010053441,0.00033376645,0.004669746,0.00014069251,0.00004783233],"candidate_categories":["sts","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.0012617846,0.00017183233,0.00019791388,0.00045677475,0.0013009915,0.00024683488,0.02988722,0.00006775653,0.0000072161897],"category_scores_gemma":[0.0012617019,0.0001620455,0.000052867337,0.0021699746,0.000078478995,0.000300816,0.024311012,0.0026701696,0.0000025709355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039733417,0.007198739,0.024747385,0.00007680773,0.00034963642,0.00020268334,0.0024647794,0.48422965,0.001702384,0.012609479,0.16731448,0.29870662],"study_design_scores_gemma":[0.0010059236,0.00014530928,0.005317895,0.0000918813,0.000005338681,0.000038416205,0.00022863345,0.9854272,0.0001075496,0.003782866,0.0036587864,0.00019019467],"about_ca_topic_score_codex":0.00003875979,"about_ca_topic_score_gemma":0.00030733505,"teacher_disagreement_score":0.8770479,"about_ca_system_score_codex":0.0005900163,"about_ca_system_score_gemma":0.000113837654,"threshold_uncertainty_score":0.99999917},"labels":[],"label_agreement":null},{"id":"W4290717193","doi":"10.1109/jsac.2022.3196099","title":"A Joint Hybrid Precoding/Combining Scheme Based on Equivalent Channel for Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Precoding; Computer science; MIMO; Beamforming; Singular value decomposition; Spectral efficiency; Zero-forcing precoding; Channel (broadcasting); Electronic engineering; Multi-user MIMO; Channel state information; Algorithm; Computer engineering; Topology (electrical circuits); Telecommunications; Wireless; Engineering; Electrical engineering","score_opus":0.08272226470049036,"score_gpt":0.2817083007827369,"score_spread":0.19898603608224652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290717193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26531306,0.0018967144,0.7177207,0.0034435722,0.0032535456,0.0024206066,0.00028050516,0.0006605436,0.005010763],"genre_scores_gemma":[0.99498147,0.00019777779,0.0037802805,0.00021215598,0.000088213485,0.00055672985,0.0000726289,0.000061758925,0.000048977985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998254,0.00029723937,0.00061555806,0.00017147105,0.00032421673,0.00033750365],"domain_scores_gemma":[0.9983603,0.00039205924,0.00020079991,0.0006825793,0.00024324619,0.00012101962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075757015,0.00019616498,0.00026248157,0.0005902669,0.00069727364,0.00010374298,0.0006268927,0.000042092834,0.000039927694],"category_scores_gemma":[0.00016210607,0.0002138084,0.00011475777,0.00041961996,0.000019366993,0.000088634624,0.00007057494,0.0011383835,0.000006904156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004874165,0.00023412258,0.000026769445,0.00003873251,0.000060149214,0.00000426918,0.000297604,0.9878076,0.008964814,0.00017683597,0.0017667639,0.0005736411],"study_design_scores_gemma":[0.0010490078,0.0002496181,0.000036882648,0.00027403815,0.000017503295,0.000047592555,0.00021091005,0.9907003,0.0051509584,0.00022952416,0.0018015064,0.0002321823],"about_ca_topic_score_codex":0.000005625672,"about_ca_topic_score_gemma":0.0000053082317,"teacher_disagreement_score":0.72966844,"about_ca_system_score_codex":0.0007258667,"about_ca_system_score_gemma":0.00011560027,"threshold_uncertainty_score":0.8718853},"labels":[],"label_agreement":null},{"id":"W4296132227","doi":"10.1109/jsac.2022.3196091","title":"Blockchain-Based Credential Management for Anonymous Authentication in SAGVN","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Calgary; University of Waterloo","funders":"","keywords":"Credential; Computer science; Authentication (law); Computer security","score_opus":0.02172383129786306,"score_gpt":0.28195580971177886,"score_spread":0.2602319784139158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296132227","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44105852,0.0007420483,0.5054637,0.04653915,0.00071142847,0.0028519519,0.00005371673,0.0005245545,0.0020549085],"genre_scores_gemma":[0.9626848,0.000047641824,0.03563005,0.0004327639,0.000021023048,0.0010798927,0.00001654446,0.000013651428,0.00007361289],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981887,0.00036695442,0.00052845484,0.00030020135,0.00029187408,0.00032382077],"domain_scores_gemma":[0.9974619,0.00035296744,0.00025464644,0.0017051939,0.00016375807,0.00006150457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009797792,0.00013919169,0.00017862326,0.0009454955,0.0009222259,0.000084015,0.0033205738,0.000073875,0.000022803508],"category_scores_gemma":[0.00005191562,0.00016027839,0.0000734742,0.0021270376,0.00007278308,0.00004484021,0.00033057376,0.0009157555,0.00000488766],"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":[0.00021994741,0.009650563,0.0037082352,0.000042747248,0.00016598916,0.000053596425,0.00323113,0.07552041,0.0027840508,0.817195,0.0052411156,0.08218724],"study_design_scores_gemma":[0.003053123,0.000370582,0.010393865,0.000060660943,0.000028749037,0.00011806138,0.00028263638,0.9038864,0.00089992734,0.055662032,0.024795191,0.0004488122],"about_ca_topic_score_codex":0.000019153447,"about_ca_topic_score_gemma":0.0001629989,"teacher_disagreement_score":0.8283659,"about_ca_system_score_codex":0.00045060605,"about_ca_system_score_gemma":0.00016619622,"threshold_uncertainty_score":0.7093109},"labels":[],"label_agreement":null},{"id":"W4296132259","doi":"10.1109/jsac.2022.3195678","title":"Guest Editorial Special Issue on Antenna Array Enabled Space/Air/Ground Communications and Networking","year":2022,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); Memorial University of Newfoundland","funders":"","keywords":"Computer science; Telecommunications; Beamforming; Wireless; Computer network","score_opus":0.02488701410746892,"score_gpt":0.281305229812231,"score_spread":0.2564182157047621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296132259","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000055268716,0.011645808,0.00003668226,0.0012220228,0.95878005,0.0007244068,0.00031353012,0.00042396397,0.026798261],"genre_scores_gemma":[0.0025954172,0.13212211,0.00070029,0.000066146196,0.86218077,0.00026974396,0.0012191392,0.00029212292,0.0005542775],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99213374,0.0028148983,0.0019594424,0.0005813248,0.0016481453,0.0008624748],"domain_scores_gemma":[0.9807217,0.008784618,0.00093074125,0.007900374,0.0012965953,0.00036593998],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002066693,0.00090275955,0.0012306222,0.0011774644,0.0018660404,0.0006082356,0.0064757126,0.001206301,0.000118099764],"category_scores_gemma":[0.0010126801,0.0010505981,0.000241992,0.0022649495,0.00036693446,0.00037607554,0.00080500304,0.011942556,0.00016986819],"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":[0.00011003267,0.0003995681,0.000061284816,0.000054335167,0.00030946525,0.000013828549,0.0010533801,0.00039248596,0.0003142234,0.00008804493,0.99561566,0.0015876883],"study_design_scores_gemma":[0.0013380689,0.0001966584,0.000055454406,0.0009347295,0.00011072845,0.00007717965,0.00034674103,0.0007906807,0.000031315158,0.00022542421,0.99500656,0.00088642904],"about_ca_topic_score_codex":0.00009996687,"about_ca_topic_score_gemma":0.0011277116,"teacher_disagreement_score":0.12047631,"about_ca_system_score_codex":0.0023377843,"about_ca_system_score_gemma":0.00083167414,"threshold_uncertainty_score":0.9994334},"labels":[],"label_agreement":null},{"id":"W4310049404","doi":"10.1109/jsac.2022.3213312","title":"Blockchain-Based Data Sharing With Key Update for Future Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Blockchain; Encryption; Key (lock); Key management; Provisioning; Smart contract; Computer security; Data sharing; Computer network; Distributed computing","score_opus":0.03574622059808942,"score_gpt":0.28655734212445555,"score_spread":0.25081112152636614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310049404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047186118,0.0012612559,0.8948735,0.05469139,0.00034545804,0.0008744015,0.000095855874,0.00042430343,0.00024773128],"genre_scores_gemma":[0.91168666,0.00011751955,0.08653425,0.0010978951,0.00010313719,0.00033889458,0.00008677631,0.000021229522,0.000013627684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833584,0.00022160287,0.0003899037,0.0004482857,0.0002502263,0.00035416495],"domain_scores_gemma":[0.99394107,0.0003563304,0.00029353128,0.0050675124,0.00025286,0.000088674744],"candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0010552747,0.0001646654,0.0002019804,0.00035545617,0.0017271772,0.0001408131,0.010593871,0.00008926382,0.000012028324],"category_scores_gemma":[0.000039488976,0.0001558533,0.000040541865,0.0020088241,0.00008432829,0.000084301035,0.00114016,0.0017408255,0.0000017170363],"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":[0.00027851897,0.0039427346,0.0062500695,0.000017435828,0.00027710514,0.000038780512,0.0012642816,0.44810823,0.00016465099,0.46169838,0.016141105,0.061818704],"study_design_scores_gemma":[0.00079041737,0.00019325754,0.0006258995,0.000022362088,0.000014074178,0.00014275924,0.00007908233,0.93841755,0.000040637442,0.0045487364,0.054917555,0.00020768645],"about_ca_topic_score_codex":0.000012981716,"about_ca_topic_score_gemma":0.0002878769,"teacher_disagreement_score":0.8645006,"about_ca_system_score_codex":0.00018127267,"about_ca_system_score_gemma":0.000274457,"threshold_uncertainty_score":0.99957246},"labels":[],"label_agreement":null},{"id":"W4310055708","doi":"10.1109/jsac.2022.3213341","title":"FRUIT: A Blockchain-Based Efficient and Privacy-Preserving Quality-Aware Incentive Scheme","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Incentive; Smart contract; Encryption; Blockchain; Security analysis; Computer security; Hash function","score_opus":0.032199773250941054,"score_gpt":0.3052527836032776,"score_spread":0.2730530103523366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310055708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9253216,0.0007902167,0.04654397,0.026047096,0.00013458262,0.00049244915,0.000026377402,0.00027559823,0.00036811532],"genre_scores_gemma":[0.98007256,0.000054298547,0.018970558,0.00063198776,0.000017475593,0.00021527958,0.000006190154,0.000013586847,0.000018080567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973967,0.0009182402,0.000550667,0.00035942433,0.0004224425,0.00035252227],"domain_scores_gemma":[0.9959794,0.000811849,0.00036484335,0.0024034947,0.00031765102,0.00012274808],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012606026,0.00017810665,0.0002466696,0.0005729741,0.0018323878,0.00012145782,0.0043860353,0.000091406444,0.000024536284],"category_scores_gemma":[0.00026527882,0.0001898613,0.00006326683,0.0022456327,0.00016395522,0.000044261436,0.0016270594,0.001942022,0.0000041151184],"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":[0.00027402153,0.01451158,0.053265806,0.00009380069,0.00043823273,0.00012006978,0.018972285,0.095729604,0.012635008,0.7484938,0.0047449456,0.050720863],"study_design_scores_gemma":[0.0013677293,0.00019975906,0.012643142,0.00007672422,0.00001098476,0.00012518278,0.0004556381,0.9648632,0.0008923313,0.011030413,0.007918815,0.0004161134],"about_ca_topic_score_codex":0.00005381509,"about_ca_topic_score_gemma":0.000073474635,"teacher_disagreement_score":0.86913353,"about_ca_system_score_codex":0.0003551642,"about_ca_system_score_gemma":0.00031284828,"threshold_uncertainty_score":0.9994671},"labels":[],"label_agreement":null},{"id":"W4312050893","doi":"10.1109/jsac.2022.3221991","title":"Deep Learning-Enabled Semantic Communication Systems With Task-Unaware Transmitter and Dynamic Data","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":232,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Transmitter; Task (project management); Artificial intelligence; Data transmission; Machine learning; Computer network; Channel (broadcasting)","score_opus":0.02747285909964657,"score_gpt":0.27351984668863916,"score_spread":0.24604698758899257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312050893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105579466,0.009611496,0.8602536,0.018757487,0.0004744911,0.0012940553,0.000026867216,0.0006131476,0.0033894153],"genre_scores_gemma":[0.98480076,0.0013493065,0.013100227,0.00031285998,0.00001279048,0.000065152635,0.00012460063,0.000027811495,0.00020651116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99607545,0.0022584961,0.0005080919,0.00034444543,0.0004990537,0.00031446197],"domain_scores_gemma":[0.99584264,0.0007082658,0.0003513407,0.0027285242,0.00023817903,0.00013107601],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013491358,0.0001902881,0.00025897866,0.00045048952,0.0019318938,0.0005053218,0.0044001583,0.000050737242,0.00001990407],"category_scores_gemma":[0.00011135942,0.0001810482,0.000028172704,0.0014728613,0.000108449494,0.00071869814,0.0006874942,0.0022171848,0.000008508865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030070185,0.0018387267,0.016529547,0.00008114699,0.0004751042,0.0001400256,0.023628669,0.87795997,0.0011371083,0.019654656,0.0014784139,0.05677591],"study_design_scores_gemma":[0.0010055751,0.00021596647,0.008659628,0.000117514646,0.000023203407,0.0007732324,0.0012766175,0.9712617,0.0000017622168,0.00021699026,0.016198099,0.00024974818],"about_ca_topic_score_codex":0.00007601156,"about_ca_topic_score_gemma":0.0003363395,"teacher_disagreement_score":0.87922126,"about_ca_system_score_codex":0.00023013454,"about_ca_system_score_gemma":0.00019487977,"threshold_uncertainty_score":0.9993675},"labels":[],"label_agreement":null},{"id":"W4312918528","doi":"10.1109/jsac.2022.3227088","title":"Joint Communication and Computation Offloading for Ultra-Reliable and Low-Latency With Multi-Tier Computing","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Fonds National de la Recherche Luxembourg; Queen's University Belfast; Royal Academy of Engineering; National Science Foundation","keywords":"Computer science; Computation offloading; Lyapunov optimization; Optimization problem; Distributed computing; Mathematical optimization; Cloud computing; Latency (audio); Edge computing; Algorithm","score_opus":0.04341358534170696,"score_gpt":0.29218128106055286,"score_spread":0.24876769571884588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312918528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54728585,0.0014308314,0.44511288,0.003713391,0.0009923851,0.0007974948,0.0000027493002,0.00018768306,0.00047671405],"genre_scores_gemma":[0.8650194,0.00020477164,0.134361,0.00024576127,0.00007846447,0.000031332806,0.000017668988,0.000020913307,0.000020700092],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981673,0.0003986933,0.0005479159,0.00028572534,0.0002546063,0.00034577568],"domain_scores_gemma":[0.9976437,0.000729805,0.0004202135,0.000729493,0.00036180217,0.00011498469],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011739401,0.00018985017,0.0002677709,0.00040946543,0.0024870737,0.00033632707,0.0010699516,0.000049547674,9.4018986e-7],"category_scores_gemma":[0.00008364571,0.00018748011,0.000038277667,0.0009271337,0.00010055893,0.00040146802,0.0003801782,0.0009894151,9.470607e-7],"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":[0.00074711075,0.007695016,0.12850098,0.0005028456,0.0009735722,0.00007625275,0.09192025,0.33931598,0.03144346,0.025547378,0.019563187,0.35371396],"study_design_scores_gemma":[0.001967988,0.00036576734,0.018682228,0.0003015834,0.000019872981,0.00046600806,0.00031128462,0.9744696,0.00033935448,0.0015429385,0.0011924612,0.00034088633],"about_ca_topic_score_codex":0.00004791403,"about_ca_topic_score_gemma":0.000020238915,"teacher_disagreement_score":0.63515365,"about_ca_system_score_codex":0.00022911945,"about_ca_system_score_gemma":0.00016370811,"threshold_uncertainty_score":0.99881154},"labels":[],"label_agreement":null},{"id":"W4315783855","doi":"10.1109/jsac.2023.3235443","title":"Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Chongqing Research Program of Basic Research and Frontier Technology; Fundamental Research Funds for the Key Research Program of Chongqing Science and Technology Commission; National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Server; Cloud computing; Edge computing; Enhanced Data Rates for GSM Evolution; Distributed computing; Markov decision process; Mobile edge computing; Edge device; Reinforcement learning; Computer network; Base station; Recommender system; Markov process; Artificial intelligence; Machine learning; Operating system","score_opus":0.03701572615767868,"score_gpt":0.2985865757943792,"score_spread":0.2615708496367005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315783855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12534314,0.00030094365,0.86872035,0.0024385243,0.0011473313,0.00066941,9.3800224e-7,0.00039388932,0.0009854825],"genre_scores_gemma":[0.9967717,0.00083647063,0.0015170497,0.0003321914,0.00017355513,0.0000881417,0.00009932714,0.000025015463,0.00015655094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740624,0.00073948153,0.0008067877,0.0002930202,0.0002059506,0.00054850953],"domain_scores_gemma":[0.99675566,0.0018059105,0.00037447934,0.0005594001,0.00038897656,0.000115578456],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018583264,0.00020418488,0.0002942201,0.0006866213,0.0014095829,0.00051239954,0.001304746,0.00010778319,0.000006906251],"category_scores_gemma":[0.00034298218,0.0002157768,0.000096809425,0.0022709314,0.00002809485,0.00041506454,0.00022966885,0.0016544216,0.00001719426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028832274,0.00012670051,0.0017154163,0.0000060249504,0.000034481815,0.000006195749,0.0010944896,0.9609835,0.00027310476,0.0003558654,0.0012801595,0.034095243],"study_design_scores_gemma":[0.0010487793,0.00015192083,0.001483188,0.00024334365,0.000006941274,0.000033008168,0.00028403863,0.99378026,0.00003752094,0.00016378156,0.0025383816,0.00022885617],"about_ca_topic_score_codex":0.000085817635,"about_ca_topic_score_gemma":0.00038298804,"teacher_disagreement_score":0.87142855,"about_ca_system_score_codex":0.00045063117,"about_ca_system_score_gemma":0.00016479666,"threshold_uncertainty_score":0.99989045},"labels":[],"label_agreement":null},{"id":"W4315783857","doi":"10.1109/jsac.2023.3236003","title":"Federated Learning Over Fully-Decoupled RAN Architecture for Two-Tier Computing Acceleration","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Computer network; Cloud computing; Power control; Radio access network; Base station; Wireless; Distributed computing; Wireless network; Power (physics); Telecommunications","score_opus":0.0624619047864794,"score_gpt":0.3465104434729623,"score_spread":0.2840485386864829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315783857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2080107,0.00066800864,0.7742526,0.012797972,0.000680205,0.00092259474,0.0000048639617,0.00084404286,0.0018190227],"genre_scores_gemma":[0.98410547,0.0011072733,0.013649796,0.00058918435,0.00017280795,0.00005904792,0.000075744436,0.00003313967,0.00020756069],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971738,0.0010545125,0.0006777282,0.0003146788,0.00030701215,0.0004722599],"domain_scores_gemma":[0.99563473,0.002125413,0.00035776445,0.0010071403,0.000736027,0.0001389353],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013693905,0.00024091046,0.00030328202,0.0006830129,0.0022307287,0.00078174897,0.0021371178,0.00009947823,0.000018629216],"category_scores_gemma":[0.0007082127,0.00023676858,0.00011360583,0.0031318117,0.000060900173,0.00040600362,0.00038270926,0.0015828173,0.000028803806],"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":[0.00019890603,0.00074864563,0.003916767,0.000028576074,0.00026656105,0.000017713824,0.009776037,0.29052854,0.0393229,0.022768192,0.014053708,0.61837345],"study_design_scores_gemma":[0.0018198596,0.00014301932,0.006764969,0.00020845338,0.000009363092,0.000041984375,0.00009940745,0.9752561,0.00061005336,0.0009014053,0.013824208,0.0003211826],"about_ca_topic_score_codex":0.000006274307,"about_ca_topic_score_gemma":0.0004268251,"teacher_disagreement_score":0.77609473,"about_ca_system_score_codex":0.00023082903,"about_ca_system_score_gemma":0.00025459004,"threshold_uncertainty_score":0.99906826},"labels":[],"label_agreement":null},{"id":"W4317385005","doi":"10.1109/jsac.2022.3228093","title":"Guest Editorial Multi-Tier Computing for Next Generation Wireless Networks—Part I","year":2023,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Cloud computing; Distributed computing; Edge computing; Utility computing; Server; Computer network; Edge device; Mobile edge computing; Wireless network; Wireless; Cloud computing security; Operating system","score_opus":0.08978625928106038,"score_gpt":0.3384160963105107,"score_spread":0.2486298370294503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317385005","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014820136,0.00027189648,0.13953252,0.00041088724,0.85878557,0.00047011525,0.000009745854,0.00032681125,0.000044223638],"genre_scores_gemma":[0.00045247652,0.0010219045,0.014799887,0.00005945496,0.9826978,0.00007168767,0.00061120844,0.00012273667,0.00016285531],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99471706,0.0009414603,0.0015366066,0.0007277328,0.0010778266,0.000999315],"domain_scores_gemma":[0.9865575,0.0071098814,0.0012354642,0.0022358617,0.002596828,0.00026450222],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002611825,0.0005910104,0.00078742346,0.0007458709,0.0018846322,0.0016304827,0.0055589587,0.0011633821,6.252186e-7],"category_scores_gemma":[0.0023703221,0.00062381005,0.00028410935,0.0019471364,0.000102476326,0.0006303816,0.0007173967,0.004651448,0.000039686296],"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":[0.000021154543,0.0002437914,0.000018331079,0.000016640124,0.00008430358,0.000006171421,0.000323821,0.0039463122,0.0000719447,0.000043270906,0.9913032,0.0039210673],"study_design_scores_gemma":[0.00085258204,0.00011587945,0.000014846629,0.0004408238,0.00002677168,0.0000071163468,0.0000065168547,0.41899714,0.000017835384,0.00004433211,0.5790657,0.00041045298],"about_ca_topic_score_codex":0.000057298425,"about_ca_topic_score_gemma":0.00017599069,"teacher_disagreement_score":0.41505083,"about_ca_system_score_codex":0.0008083025,"about_ca_system_score_gemma":0.0013121244,"threshold_uncertainty_score":0.9998214},"labels":[],"label_agreement":null},{"id":"W4318586163","doi":"10.1109/jsac.2023.3240710","title":"Rate-Splitting for Intelligent Reflecting Surface-Aided Multiuser VR Streaming","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Quality of service; Leverage (statistics); Bottleneck; Virtual reality; Wireless network; Artificial intelligence; Real-time computing; Wireless; Computer network; Telecommunications; Embedded system","score_opus":0.09754646114303962,"score_gpt":0.3647560459801093,"score_spread":0.2672095848370697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318586163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8785218,0.0015847565,0.109407835,0.0027317596,0.0006785473,0.0011002091,0.000037677804,0.0045219697,0.0014154551],"genre_scores_gemma":[0.9494964,0.005475823,0.044595316,0.00003902417,0.000044666875,0.00012014301,0.000047477435,0.0000916633,0.00008949669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980715,0.00023124031,0.0008179267,0.00019717724,0.00016836806,0.00051382545],"domain_scores_gemma":[0.9947213,0.002962509,0.00023006016,0.0016326298,0.0003710097,0.00008248808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008992821,0.00025237762,0.00031203375,0.00060386484,0.0006484561,0.00011197857,0.0016944527,0.00016896354,0.00000668295],"category_scores_gemma":[0.0015327658,0.00027104578,0.00009307438,0.0021014912,0.00008507886,0.0002790032,0.00018556589,0.001463366,0.00003827672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027983755,0.00011813724,0.0017685333,0.000038097696,0.00010600283,0.000004217751,0.0011639313,0.89415455,0.05407236,0.0011088701,0.0008513698,0.04658597],"study_design_scores_gemma":[0.0013115073,0.000149834,0.004495323,0.0010064407,0.00003083018,0.000047442863,0.004471568,0.8579531,0.10400827,0.0073180166,0.018297328,0.0009103533],"about_ca_topic_score_codex":0.000010682404,"about_ca_topic_score_gemma":0.00019405375,"teacher_disagreement_score":0.0709746,"about_ca_system_score_codex":0.00050515204,"about_ca_system_score_gemma":0.000063889944,"threshold_uncertainty_score":0.9999742},"labels":[],"label_agreement":null},{"id":"W4318586278","doi":"10.1109/jsac.2023.3240709","title":"Asynchronous Cell-Free Massive MIMO With Rate-Splitting","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China; Australian Research Council; Natural Science Foundation of Beijing Municipality; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; ZTE Corporation","keywords":"Precoding; Asynchronous communication; Computer science; MIMO; Telecommunications link; Robustness (evolution); Channel state information; Spectral efficiency; Transmission (telecommunications); Topology (electrical circuits); Channel (broadcasting); Computer network; Telecommunications; Wireless; Mathematics","score_opus":0.016701361423620185,"score_gpt":0.25007400604301405,"score_spread":0.23337264461939386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318586278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39724195,0.0024262932,0.5364671,0.003820442,0.0017626145,0.0020915284,0.000104056955,0.0040928707,0.051993147],"genre_scores_gemma":[0.9795058,0.0011903216,0.018849537,0.000036980487,0.00010239473,0.00007255784,0.000041593546,0.0000857946,0.00011501969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864393,0.0002167328,0.00046827333,0.00014337116,0.00016530482,0.00036237383],"domain_scores_gemma":[0.9977052,0.000545857,0.00016601595,0.0011947977,0.0002797819,0.00010831746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033594787,0.00019924618,0.00022735662,0.00046386872,0.00031523273,0.000084130545,0.0009159872,0.00009626492,0.000013570184],"category_scores_gemma":[0.00019396114,0.00019124559,0.000037669357,0.0019218923,0.000047326143,0.00026115164,0.000062963954,0.00089675235,0.0000782453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016318378,0.00005867418,0.0006568503,0.000021418253,0.00003941928,0.000024404051,0.00052405364,0.9910577,0.004417829,0.00019796824,0.0020698241,0.0009155626],"study_design_scores_gemma":[0.0043766527,0.00037093548,0.007789392,0.001402096,0.00007904905,0.00030115675,0.0016170094,0.963303,0.012661569,0.0016246329,0.0052556708,0.001218809],"about_ca_topic_score_codex":0.000007893971,"about_ca_topic_score_gemma":0.00013837536,"teacher_disagreement_score":0.5822638,"about_ca_system_score_codex":0.00039663,"about_ca_system_score_gemma":0.00010139049,"threshold_uncertainty_score":0.7798769},"labels":[],"label_agreement":null},{"id":"W4319302934","doi":"10.1109/jsac.2023.3242721","title":"GIFT: Toward Accurate and Efficient Federated Learning With Gradient-Instructed Frequency Tuning","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Chinese University of Hong Kong; Research Grants Council, University Grants Committee; National Natural Science Foundation of China","keywords":"Computer science; Consistency (knowledge bases); Synchronization (alternating current); Metric (unit); Convergence (economics); Stability (learning theory); Distributed computing; Artificial intelligence; Real-time computing; Machine learning; Telecommunications","score_opus":0.05213281843376082,"score_gpt":0.2990192269054298,"score_spread":0.24688640847166898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319302934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9195922,0.00029345707,0.049468283,0.027557852,0.00022548456,0.00029784802,0.000009730201,0.0017210549,0.00083411],"genre_scores_gemma":[0.9270384,0.0009050714,0.07188217,0.000071996634,0.000017108916,0.000026130872,0.000022234179,0.000023154531,0.000013732271],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976807,0.0005305624,0.00047847844,0.00038805424,0.0003886508,0.0005335576],"domain_scores_gemma":[0.9949921,0.000713546,0.00033754559,0.003449014,0.00036871387,0.00013907484],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.00073779176,0.00023160219,0.00025857877,0.0008522788,0.0010502697,0.0005937824,0.013227229,0.0001225777,0.0000038459343],"category_scores_gemma":[0.007048543,0.00020266845,0.000030058503,0.0046452596,0.00020289105,0.0004978673,0.0084961,0.00195592,0.000022380584],"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":[0.0005990981,0.0035429092,0.23021501,0.00028559883,0.0019346682,0.002707339,0.021607243,0.087414384,0.11890098,0.059954684,0.08289924,0.38993883],"study_design_scores_gemma":[0.0011732344,0.000340015,0.047973283,0.00045400267,0.000015567928,0.0006606176,0.00037596544,0.9336821,0.0009789909,0.013140651,0.0007132283,0.0004923875],"about_ca_topic_score_codex":0.00004849154,"about_ca_topic_score_gemma":0.000109058834,"teacher_disagreement_score":0.8462677,"about_ca_system_score_codex":0.00023388934,"about_ca_system_score_gemma":0.00026224967,"threshold_uncertainty_score":0.999523},"labels":[],"label_agreement":null},{"id":"W4319778953","doi":"10.1109/jsac.2023.3242704","title":"Split Learning Over Wireless Networks: Parallel Design and Resource Management","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":253,"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; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies; National Natural Science Foundation of China; Peng Cheng Laboratory","keywords":"Computer science; Latency (audio); Cluster analysis; Artificial intelligence; Partition (number theory); Wireless; Machine learning; Computer network; Operating system; Telecommunications","score_opus":0.05177587151592061,"score_gpt":0.3009152761501048,"score_spread":0.24913940463418421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319778953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025839856,0.00074405456,0.9399548,0.02950309,0.00020771212,0.00046979758,0.0000020703787,0.0014682548,0.0018103706],"genre_scores_gemma":[0.56475973,0.011692258,0.4228185,0.00033591478,0.00005105616,0.000082210194,0.000018324485,0.00003673848,0.00020526066],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777687,0.00074546743,0.00039814666,0.00031981684,0.00031727896,0.00044239854],"domain_scores_gemma":[0.9923588,0.0012044265,0.00021575725,0.0060391263,0.00008888537,0.00009297091],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0013902471,0.00017165618,0.0001934015,0.0005741333,0.000623485,0.0003461917,0.019297285,0.00011771021,0.000003731363],"category_scores_gemma":[0.0016622527,0.00017089552,0.000033924243,0.0026098136,0.00012084677,0.00039519634,0.018577099,0.0014987316,0.000023193259],"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":[0.00010732657,0.00052327366,0.009408726,0.000040460272,0.00033714992,0.00033331275,0.00076054264,0.19476518,0.00025633018,0.03986349,0.5020527,0.25155145],"study_design_scores_gemma":[0.0004599885,0.000074326905,0.015083956,0.00021634888,0.000008892633,0.00007383242,0.0000727001,0.9432141,0.000022376187,0.029740205,0.010818036,0.00021519171],"about_ca_topic_score_codex":0.000007735945,"about_ca_topic_score_gemma":0.000010207204,"teacher_disagreement_score":0.74844897,"about_ca_system_score_codex":0.00016025113,"about_ca_system_score_gemma":0.000043640204,"threshold_uncertainty_score":0.98936045},"labels":[],"label_agreement":null},{"id":"W4375928939","doi":"10.1109/jsac.2023.3273707","title":"Uplink Multiple Access With Semi-Grant-Free Transmission in Integrated Satellite-Aerial-Terrestrial Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Nanjing University of Posts and Telecommunications; Government of Jiangsu Province","keywords":"Computer science; Telecommunications link; Channel state information; Transmission (telecommunications); Computer network; Space-division multiple access; Throughput; Channel (broadcasting); Telecommunications; Wireless","score_opus":0.0567388413156029,"score_gpt":0.297409196982388,"score_spread":0.24067035566678507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375928939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525248,0.009602307,0.02401045,0.0029714054,0.002168833,0.002456312,0.000054274864,0.0023909605,0.0038206726],"genre_scores_gemma":[0.96875876,0.029072026,0.0014836922,0.000040527993,0.00014608899,0.00013545899,0.0002228119,0.00010668147,0.00003392867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968379,0.0008406044,0.0011626504,0.00024698567,0.00035185,0.00056000194],"domain_scores_gemma":[0.99528193,0.0015738973,0.00018741311,0.0025332153,0.00022033753,0.00020318475],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00097062875,0.00036105854,0.0004999136,0.0010836845,0.00027408652,0.00030721127,0.0036362475,0.00028783162,0.000023024628],"category_scores_gemma":[0.00023593551,0.00032253482,0.00008797117,0.004903393,0.00010368699,0.00043223563,0.00014986073,0.002173391,0.000033915472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008510024,0.000605688,0.054091174,0.00006320213,0.00027730266,0.00009258992,0.0029724143,0.8508864,0.009031814,0.000106828986,0.0028157423,0.07820582],"study_design_scores_gemma":[0.006354009,0.00015356198,0.047471114,0.0022527627,0.0000388736,0.00019151307,0.00042336687,0.9024734,0.0012905822,0.00025527505,0.038256068,0.0008394692],"about_ca_topic_score_codex":0.00027258415,"about_ca_topic_score_gemma":0.0032589685,"teacher_disagreement_score":0.077366345,"about_ca_system_score_codex":0.00043335932,"about_ca_system_score_gemma":0.00016809217,"threshold_uncertainty_score":0.9999227},"labels":[],"label_agreement":null},{"id":"W4381785946","doi":"10.1109/jsac.2023.3288234","title":"Robust Downlink Transmission Design in IRS-Assisted Cognitive Satellite and Terrestrial Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Nanjing University of Posts and Telecommunications","keywords":"Computer science; Telecommunications link; Transmitter power output; Beamforming; Optimization problem; Computer network; Transmission (telecommunications); Telecommunications; Channel (broadcasting); Algorithm; Transmitter","score_opus":0.08153706500072104,"score_gpt":0.29405455867421515,"score_spread":0.2125174936734941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381785946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30744615,0.017358633,0.66263306,0.0045058313,0.0005954347,0.0019013353,0.000028158209,0.003549266,0.0019821122],"genre_scores_gemma":[0.92042625,0.0688928,0.010445841,0.00002676859,0.000027630564,0.0000825535,0.000045036635,0.00004225816,0.00001083299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982256,0.0004982045,0.00060568185,0.00016065853,0.00015584675,0.00035395354],"domain_scores_gemma":[0.9968172,0.0021349676,0.00011609463,0.0007515514,0.000091996335,0.00008822793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051365345,0.00021473948,0.00028646865,0.00080105517,0.00025338124,0.00007674597,0.000893841,0.00023346045,0.000005423988],"category_scores_gemma":[0.0002445583,0.00021797621,0.000040483174,0.0023226854,0.00014847716,0.00022689383,0.00008782261,0.0018358628,0.000009862914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106117,0.00012830665,0.0010692277,0.000008336891,0.000041227737,0.000021064474,0.00045398064,0.6669063,0.0016665895,0.0000877776,0.000190859,0.3293202],"study_design_scores_gemma":[0.0025423067,0.00013312977,0.057235233,0.0012309478,0.000021838856,0.00010855077,0.0006129972,0.932881,0.0013106595,0.0015219407,0.0019032423,0.0004981475],"about_ca_topic_score_codex":0.0000067134456,"about_ca_topic_score_gemma":0.00012731693,"teacher_disagreement_score":0.6521872,"about_ca_system_score_codex":0.00022524329,"about_ca_system_score_gemma":0.00005720788,"threshold_uncertainty_score":0.88888115},"labels":[],"label_agreement":null},{"id":"W4381785968","doi":"10.1109/jsac.2023.3288269","title":"Super-Wideband Massive MIMO","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Futurewei Technologies; National Science Foundation","keywords":"MIMO; Computer science; Wideband; 3G MIMO; Bandwidth (computing); Electronic engineering; Antenna noise temperature; Antenna array; Antenna (radio); Topology (electrical circuits); Telecommunications; Omnidirectional antenna; Antenna efficiency; Electrical engineering; Channel (broadcasting); Engineering","score_opus":0.03266448274842102,"score_gpt":0.27212501140766626,"score_spread":0.23946052865924525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381785968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91799074,0.0036617767,0.032256782,0.015863571,0.0012957761,0.0005608284,0.00007566414,0.0023679377,0.025926912],"genre_scores_gemma":[0.9940962,0.004802754,0.00047573596,0.000096696,0.00007546902,0.000016098289,0.000024987246,0.00003074707,0.0003812966],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901974,0.00013607713,0.0003252947,0.000087475506,0.00016700086,0.0002644007],"domain_scores_gemma":[0.99871516,0.00038933876,0.000044337383,0.0006037013,0.00014474805,0.00010270896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022361512,0.00012852758,0.0001878953,0.00054486777,0.00022373228,0.00007305077,0.00064574153,0.000073524134,0.0000638444],"category_scores_gemma":[0.0001355197,0.000121192184,0.000082823455,0.001976276,0.000045040906,0.00012262254,0.000028363787,0.00072492956,0.0002556408],"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":[0.00012525507,0.0011712553,0.047473174,0.00010089253,0.002121415,0.0005658866,0.008160794,0.17072758,0.49300417,0.0050938707,0.2421659,0.029289827],"study_design_scores_gemma":[0.001613824,0.00014270129,0.035600733,0.00058212585,0.00014040447,0.0001834873,0.0013885321,0.9243317,0.0030831778,0.0032239202,0.02877805,0.0009313411],"about_ca_topic_score_codex":0.000009479763,"about_ca_topic_score_gemma":0.0001070963,"teacher_disagreement_score":0.7536041,"about_ca_system_score_codex":0.00012218415,"about_ca_system_score_gemma":0.00004296526,"threshold_uncertainty_score":0.49420738},"labels":[],"label_agreement":null},{"id":"W4382119085","doi":"10.1109/jsac.2023.3288231","title":"Semantic Communications for Wireless Sensing: RIS-Aided Encoding and Self-Supervised Decoding","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Guangdong Provincial Pearl River Talents Program; Ministry of Education - Singapore; National Science Foundation, United Arab Emirates; National Natural Science Foundation of China; Ministry of Science and ICT, South Korea; National Science Foundation","keywords":"Computer science; Decoding methods; Encoding (memory); Hash function; Wireless; Sampling (signal processing); Artificial intelligence; Algorithm; Computer vision; Telecommunications","score_opus":0.0427583445251397,"score_gpt":0.2913943387866181,"score_spread":0.24863599426147837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382119085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9291285,0.0015287995,0.05273846,0.006010379,0.0007431124,0.0012432368,0.000056880515,0.004667819,0.003882787],"genre_scores_gemma":[0.9730685,0.009794084,0.016832437,0.00007264411,0.000043313245,0.00006254388,0.000045403613,0.000057276542,0.000023837987],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986006,0.00016362839,0.0005488563,0.00015049729,0.00015548214,0.00038091175],"domain_scores_gemma":[0.9970297,0.0012409069,0.00010625607,0.0012566505,0.00027952166,0.000086933294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225479,0.0002036589,0.0002807856,0.0007533695,0.0008265986,0.00015617991,0.0010394104,0.00016707837,0.0000035545238],"category_scores_gemma":[0.00031695643,0.00021647477,0.00006672019,0.0016442776,0.00011382075,0.00019816186,0.00014871763,0.0007608605,0.000014733811],"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":[0.00026520973,0.002452247,0.0446069,0.0015407772,0.0027861637,0.00012609814,0.052485827,0.13410471,0.16512713,0.10299766,0.054472692,0.43903458],"study_design_scores_gemma":[0.0008188877,0.00004681731,0.0013666243,0.00027145038,0.000044570534,0.00008310657,0.0010290082,0.9873408,0.0034968702,0.0020792682,0.0031135045,0.00030911047],"about_ca_topic_score_codex":0.000011416401,"about_ca_topic_score_gemma":0.00021727636,"teacher_disagreement_score":0.8532361,"about_ca_system_score_codex":0.00020801583,"about_ca_system_score_gemma":0.00006439632,"threshold_uncertainty_score":0.8827585},"labels":[],"label_agreement":null},{"id":"W4383199388","doi":"10.1109/jsac.2023.3282543","title":"Guest Editorial xURLLC in 6G: Next Generation Ultra-Reliable and Low-Latency Communications","year":2023,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Age of Information Optimization","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Low latency (capital markets); Performance indicator; Telecommunications; Efficient energy use; Reliability (semiconductor); Computer network; Power (physics); Engineering","score_opus":0.03783894875347228,"score_gpt":0.2957146563548993,"score_spread":0.25787570760142703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383199388","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014400168,0.0005467879,0.005148904,0.0027045873,0.98891085,0.0006477927,0.000059696387,0.00030519837,0.001532187],"genre_scores_gemma":[0.0049109077,0.035892755,0.029750925,0.00015665403,0.92644036,0.00031782658,0.0020606108,0.00013737164,0.0003325924],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950043,0.0008176044,0.0018626519,0.0004822883,0.001248396,0.00058479264],"domain_scores_gemma":[0.98919815,0.0030799136,0.0012341336,0.0041416,0.0021103034,0.00023590465],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0020591246,0.0004983124,0.0006135016,0.0016257388,0.0009908973,0.0013794032,0.006353099,0.001073678,0.000006478112],"category_scores_gemma":[0.003257491,0.00053896266,0.00010374863,0.0031564538,0.00020467512,0.0026271162,0.00051407825,0.0046276716,0.0001172989],"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":[0.000016125603,0.0002951554,0.00004964882,0.000021896243,0.000035333105,0.0000049862133,0.0010746167,0.0050601913,0.00017593773,0.0006890677,0.9919304,0.00064661104],"study_design_scores_gemma":[0.0024309864,0.00027013707,0.00020590879,0.0013722077,0.000045584286,0.000034372035,0.00014450132,0.26256672,0.00011435694,0.0008261057,0.7308905,0.0010986025],"about_ca_topic_score_codex":0.00023054723,"about_ca_topic_score_gemma":0.0014469665,"teacher_disagreement_score":0.2610399,"about_ca_system_score_codex":0.0010021372,"about_ca_system_score_gemma":0.0015837564,"threshold_uncertainty_score":0.9997062},"labels":[],"label_agreement":null},{"id":"W4386275635","doi":"10.1109/jsac.2023.3310104","title":"A New Virtual Network Topology-Based Digital Twin for Spatial-Temporal Load-Balanced User Association in 6G HetNets","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Heterogeneous network; Computer network; Quality of service; Network topology; Distributed computing; Provisioning; Wireless network; Wireless","score_opus":0.018024605670591737,"score_gpt":0.2734062061041156,"score_spread":0.25538160043352387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386275635","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10032761,0.00040121964,0.89075184,0.002732896,0.0019338859,0.0015381725,0.00010812977,0.0009824618,0.0012237721],"genre_scores_gemma":[0.9897688,0.00015145869,0.008965187,0.000080134465,0.00028460866,0.000106498446,0.00023764739,0.00006503865,0.00034063673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830323,0.0001657281,0.00068041007,0.00016293439,0.00022468244,0.00046299424],"domain_scores_gemma":[0.9979197,0.00093533384,0.00024803283,0.00052385434,0.00026573872,0.00010735126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048828224,0.0002005971,0.0003194604,0.00036119166,0.0001615226,0.000108267646,0.0004935239,0.0002096764,0.000011045698],"category_scores_gemma":[0.0006070763,0.00022875331,0.00007465019,0.0015882277,0.000019285137,0.0003226972,0.00003057087,0.0006755429,0.00003061894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054758715,0.000056799785,0.02221557,0.0000071435725,0.000035645375,0.0000032776097,0.00020286518,0.9645658,0.0002664947,0.00012595241,0.009780348,0.0026853548],"study_design_scores_gemma":[0.0044815964,0.00025418686,0.022274423,0.0005080407,0.000023905613,0.000016673055,0.000114094306,0.954975,0.0003809338,0.0017197983,0.014669318,0.0005820018],"about_ca_topic_score_codex":0.000069044414,"about_ca_topic_score_gemma":0.002869,"teacher_disagreement_score":0.8894412,"about_ca_system_score_codex":0.0014903873,"about_ca_system_score_gemma":0.0003213853,"threshold_uncertainty_score":0.9328289},"labels":[],"label_agreement":null},{"id":"W4386275784","doi":"10.1109/jsac.2023.3310106","title":"Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Scheme (mathematics); Task (project management); Process (computing); Differential privacy; Distributed computing; Artificial intelligence; Human–computer interaction; Data mining","score_opus":0.05470206361391927,"score_gpt":0.3433514664349823,"score_spread":0.28864940282106305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386275784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59577787,0.000012498859,0.40239948,0.0005156213,0.00073485356,0.0002604433,9.513994e-7,0.00022247549,0.00007581839],"genre_scores_gemma":[0.98841053,0.000014403288,0.0108962525,0.00011041626,0.0003616234,0.00004812594,0.000029871491,0.00003606366,0.00009271623],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99738765,0.0005155782,0.00075550907,0.00039331897,0.00028767358,0.0006602893],"domain_scores_gemma":[0.9964839,0.0019287922,0.00031210677,0.0007893543,0.00031596993,0.0001698404],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009748996,0.00025687384,0.00037217574,0.00087357184,0.0017231557,0.00104314,0.0019863057,0.00015839552,0.0000013386966],"category_scores_gemma":[0.0014715168,0.00027278266,0.000103014376,0.0025264332,0.00005074978,0.0005114728,0.000537932,0.0018941163,0.000029170706],"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":[0.00035342935,0.008022383,0.1504915,0.00014070391,0.0006953198,0.00025443823,0.056366526,0.13619535,0.4358094,0.05784951,0.0044685607,0.14935285],"study_design_scores_gemma":[0.005261247,0.0017805418,0.31723657,0.0030301416,0.000029700808,0.00010186915,0.0004975765,0.626504,0.01231924,0.027320797,0.003904234,0.0020140945],"about_ca_topic_score_codex":0.000029797062,"about_ca_topic_score_gemma":0.00026353943,"teacher_disagreement_score":0.49030864,"about_ca_system_score_codex":0.00032598333,"about_ca_system_score_gemma":0.00018024842,"threshold_uncertainty_score":0.99999386},"labels":[],"label_agreement":null},{"id":"W4386275825","doi":"10.1109/jsac.2023.3310087","title":"Distributed Communication and Computation Resource Management for Digital Twin-Aided Edge Computing With Short-Packet Communications","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Royal Academy of Engineering","keywords":"Computer science; Computer network; Network packet; Distributed computing; Enhanced Data Rates for GSM Evolution; Resource management (computing); Computation; Packet switching; Telecommunications","score_opus":0.050047076439598895,"score_gpt":0.3169205034312723,"score_spread":0.26687342699167343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386275825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10259411,0.00068055023,0.8702013,0.016980127,0.0007435286,0.0018281421,0.000034850495,0.0011194124,0.0058180033],"genre_scores_gemma":[0.9295842,0.00040580696,0.06887586,0.00021637668,0.0001416606,0.0000635109,0.00062165374,0.00004199593,0.000048918522],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99734825,0.0005205081,0.0008156158,0.0003853458,0.00037807866,0.0005522258],"domain_scores_gemma":[0.9938821,0.0023244687,0.00037991168,0.0026643034,0.000563437,0.00018573973],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0011550229,0.0002996235,0.00035642635,0.00071809645,0.001890358,0.0009734719,0.0036561016,0.000106825166,3.3691447e-7],"category_scores_gemma":[0.00015797188,0.00029414095,0.00008178347,0.0029281576,0.00025971408,0.0006957192,0.0010124521,0.00090373383,0.000015054478],"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":[0.00048496775,0.00343685,0.027608387,0.00030907133,0.0012463675,0.000074975906,0.01768642,0.03355014,0.00056811183,0.054175906,0.12343273,0.7374261],"study_design_scores_gemma":[0.0029765556,0.00046347379,0.053818982,0.0013408889,0.00008592716,0.0003397652,0.001013569,0.8814911,0.00012279786,0.010285726,0.047066048,0.0009951465],"about_ca_topic_score_codex":0.000008390042,"about_ca_topic_score_gemma":0.00002858767,"teacher_disagreement_score":0.847941,"about_ca_system_score_codex":0.00026672124,"about_ca_system_score_gemma":0.0001150823,"threshold_uncertainty_score":0.99995106},"labels":[],"label_agreement":null},{"id":"W4386280779","doi":"10.1109/jsac.2023.3310109","title":"Digital Twins Based Intelligent State Prediction Method for Maneuvering-Target Tracking","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","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":"Exfo Electro-Optical Engineering (Canada)","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Liuzhou Science and Technology Project; Guangdong Science and Technology Department; Science, Technology and Innovation Commission of Shenzhen Municipality; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Computer science; Tracking (education); Artificial intelligence; Generalization; Artificial neural network; Noise (video); Motion (physics); Computer vision; Tracking system; State (computer science); Pattern recognition (psychology); Kalman filter; Algorithm; Image (mathematics); Mathematics","score_opus":0.0591814001899333,"score_gpt":0.39299520975840796,"score_spread":0.3338138095684747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386280779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05168506,0.0001243359,0.9304974,0.01099453,0.00031049995,0.0009887957,0.00015515569,0.0010383478,0.0042058355],"genre_scores_gemma":[0.8467462,0.00044463595,0.1514999,0.00040748075,0.000106443666,0.00010347598,0.00017627387,0.000053654698,0.00046192587],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998654,0.00013704305,0.00048122206,0.00017247064,0.00023662073,0.00031862658],"domain_scores_gemma":[0.99790347,0.0008421921,0.0001251113,0.0006076526,0.00036951137,0.0001520604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067536667,0.00014737298,0.00025493148,0.00054498133,0.00024333571,0.00013994654,0.00032549468,0.0000702644,0.000013154783],"category_scores_gemma":[0.00073260453,0.00013499417,0.000117163014,0.00091787253,0.0000572457,0.00016888115,0.000032093263,0.0008755982,0.000013372666],"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":[0.0042128298,0.011573177,0.15640298,0.00060491246,0.0013877547,0.00036928034,0.005064664,0.034550622,0.16346242,0.004132708,0.06408968,0.554149],"study_design_scores_gemma":[0.0021268295,0.0017424328,0.02613863,0.0011955368,0.00012848139,0.0003129608,0.0002076048,0.86075467,0.060775585,0.0068567535,0.039349798,0.0004107173],"about_ca_topic_score_codex":0.000006190097,"about_ca_topic_score_gemma":0.000009644963,"teacher_disagreement_score":0.82620406,"about_ca_system_score_codex":0.00030356774,"about_ca_system_score_gemma":0.00017852307,"threshold_uncertainty_score":0.55049026},"labels":[],"label_agreement":null},{"id":"W4386280880","doi":"10.1109/jsac.2023.3310097","title":"Digital Twin Empowered Wireless Healthcare Monitoring for Smart Home","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":150,"is_retracted":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":"Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China","keywords":"Computer science; Wireless; Wearable computer; Smartwatch; Home automation; Visualization; Process (computing); Human–computer interaction; Fidelity; Embedded system; Real-time computing; Telecommunications; Artificial intelligence","score_opus":0.06508742822763808,"score_gpt":0.337608752088192,"score_spread":0.27252132386055394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386280880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90310097,0.00063824386,0.051715635,0.02297977,0.017884726,0.0008134427,0.000011395622,0.0011457243,0.0017101152],"genre_scores_gemma":[0.99271286,0.000253144,0.0056429324,0.000110065084,0.0010119721,0.000041423475,0.000019393583,0.000028812105,0.00017937446],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817175,0.00018588369,0.0005391897,0.00025295705,0.00030137802,0.0005488325],"domain_scores_gemma":[0.99692935,0.0010153106,0.00021958833,0.0011916,0.0004639052,0.00018026146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000587544,0.00017819884,0.00024746265,0.00056297105,0.0008332661,0.00057795027,0.0025468457,0.00009599938,3.1948883e-7],"category_scores_gemma":[0.0001845621,0.00018140004,0.00010527153,0.0022738264,0.000042593732,0.0005673513,0.0003077968,0.00081260985,0.00005102461],"study_design_candidate":"design_other","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":[0.00018537302,0.001523533,0.17968526,0.00014685027,0.0003194751,0.0001331394,0.014208934,0.0017601235,0.0038611654,0.008471475,0.05177047,0.7379342],"study_design_scores_gemma":[0.006616696,0.001693172,0.35346678,0.003471368,0.00004345606,0.00086260994,0.00096172094,0.45878696,0.0042260024,0.034971442,0.13199018,0.002909598],"about_ca_topic_score_codex":0.000013860668,"about_ca_topic_score_gemma":0.000011525865,"teacher_disagreement_score":0.73502463,"about_ca_system_score_codex":0.00025657288,"about_ca_system_score_gemma":0.00029445058,"threshold_uncertainty_score":0.73972785},"labels":[],"label_agreement":null},{"id":"W4387303325","doi":"10.1109/jsac.2023.3310046","title":"Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Japan Society for the Promotion of Science; National Natural Science Foundation of China","keywords":"Computer science; Reinforcement learning; Cloud computing; Distributed computing; Edge device; Edge computing; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Operating system","score_opus":0.027664556179792722,"score_gpt":0.29365498016363,"score_spread":0.26599042398383727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387303325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27348483,0.0008387243,0.69717735,0.009350059,0.000527132,0.0011088809,0.0000073821484,0.0022834507,0.0152222],"genre_scores_gemma":[0.9928786,0.0011722177,0.005516298,0.00002399959,0.00003398766,0.00010085637,0.00008618222,0.00002140532,0.00016645643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980579,0.00029408932,0.0005788813,0.00031778324,0.00029228005,0.0004590589],"domain_scores_gemma":[0.9947844,0.0008029846,0.0002928882,0.0037363705,0.00030036774,0.000082991224],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0005552805,0.00020547057,0.00024113868,0.0007438157,0.00049223,0.0005656476,0.010546212,0.0001364858,0.0000059438335],"category_scores_gemma":[0.0029852316,0.00018232015,0.000034743127,0.0049415813,0.000091812966,0.00095279055,0.0066131963,0.0015741178,0.000050071336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016810851,0.00095488114,0.018821392,0.000023562483,0.0001574095,0.00009723842,0.0016014965,0.76472586,0.0015960457,0.001931641,0.026891982,0.1830304],"study_design_scores_gemma":[0.0007095004,0.0002774093,0.0070967176,0.00039296263,0.0000038377098,0.000036230565,0.000087125365,0.9843674,0.00085793267,0.002099486,0.0037873103,0.00028412775],"about_ca_topic_score_codex":0.0000071011104,"about_ca_topic_score_gemma":0.00017724893,"teacher_disagreement_score":0.7193938,"about_ca_system_score_codex":0.00045334044,"about_ca_system_score_gemma":0.00019644461,"threshold_uncertainty_score":0.9948072},"labels":[],"label_agreement":null},{"id":"W4387448622","doi":"10.1109/jsac.2023.3322841","title":"FL-AMM: Federated Learning Augmented Map Matching With Heterogeneous Cellular Moving Trajectories","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Calgary","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China; China Association for Science and Technology; Central South University; University of Calgary","keywords":"Computer science; Map matching; Matching (statistics); Data mining; Robustness (evolution); Component (thermodynamics); Artificial intelligence","score_opus":0.016514252968676552,"score_gpt":0.24202790760895954,"score_spread":0.22551365464028297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387448622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8928616,0.0004528548,0.08971839,0.0007942118,0.0005469169,0.0004576839,0.000008613711,0.011988334,0.0031714183],"genre_scores_gemma":[0.9970906,0.0010868586,0.0014371009,0.000041688705,0.00005375103,0.00004975177,0.00005483946,0.000059354265,0.00012605786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998771,0.00018707752,0.00036119908,0.00013166612,0.00023280033,0.00031622642],"domain_scores_gemma":[0.99919003,0.00014240752,0.000085314845,0.00038433002,0.00011000803,0.00008792772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002846444,0.00018976485,0.00018824858,0.0005248377,0.0005357523,0.00019339184,0.0004555603,0.00007792676,0.00001299533],"category_scores_gemma":[0.000028855397,0.00018520279,0.000043647568,0.0011069117,0.0000373694,0.00018254304,0.000048363912,0.0010701834,0.000029103714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006741753,0.0002012564,0.0015225885,0.000067328394,0.00038816177,0.00014893222,0.0022107328,0.9413789,0.032852944,0.0003762132,0.010316239,0.010469276],"study_design_scores_gemma":[0.0020244678,0.0004608402,0.0064704083,0.001271597,0.00010602953,0.00027067616,0.001645266,0.93438554,0.02071227,0.00037086388,0.031215612,0.0010664599],"about_ca_topic_score_codex":0.000017958064,"about_ca_topic_score_gemma":0.0002230896,"teacher_disagreement_score":0.10422902,"about_ca_system_score_codex":0.00022109342,"about_ca_system_score_gemma":0.00003597658,"threshold_uncertainty_score":0.755235},"labels":[],"label_agreement":null},{"id":"W4387449140","doi":"10.1109/jsac.2023.3322797","title":"Cooperative Localization for UAV Systems From the Perspective of Physical Clock Synchronization","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Ranging; Computer science; Pseudorange; Clock synchronization; Synchronization (alternating current); Clock drift; Real-time computing; Global Positioning System; Time of arrival; Control theory (sociology); GNSS applications; Artificial intelligence; Telecommunications","score_opus":0.02516528724701056,"score_gpt":0.2875835563896013,"score_spread":0.26241826914259075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387449140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13687383,0.002756974,0.8499493,0.0029033835,0.0012072381,0.0020699082,0.00045532107,0.0014657524,0.0023183129],"genre_scores_gemma":[0.9985407,0.0008837691,0.00015785874,0.000026329904,0.000119442186,0.00011840841,0.000106610554,0.000029586996,0.000017272989],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907106,0.00016178064,0.00033494717,0.00010015578,0.00016769426,0.00016437657],"domain_scores_gemma":[0.99762267,0.000962655,0.00011104,0.00049994764,0.0007783739,0.000025310324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018308545,0.0001241097,0.0001967263,0.00020854235,0.00029576264,0.0000597691,0.0005668575,0.00009311078,0.000003638615],"category_scores_gemma":[0.00052129925,0.00009732116,0.000051319726,0.0016531099,0.00010273564,0.000116774456,0.000030662068,0.0003653364,0.000010361072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001784647,0.00007968608,0.00061120186,0.000011952915,0.00009103077,5.751534e-7,0.0028757798,0.9539291,0.0009075332,0.036109854,0.0046772757,0.00068816444],"study_design_scores_gemma":[0.00043730962,0.000087194225,0.00088696025,0.00016215057,0.000026733022,0.000003650035,0.0029950538,0.98729706,0.0037443917,0.0026364813,0.0016005903,0.0001224047],"about_ca_topic_score_codex":0.000050550345,"about_ca_topic_score_gemma":0.00010586403,"teacher_disagreement_score":0.8616669,"about_ca_system_score_codex":0.0002917005,"about_ca_system_score_gemma":0.000076244854,"threshold_uncertainty_score":0.39686418},"labels":[],"label_agreement":null},{"id":"W4387449261","doi":"10.1109/jsac.2023.3322818","title":"Simultaneous Localization and Communications With Massive MIMO-OTFS","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo; Natural Sciences and Engineering Research Council of Canada","funders":"National Natural Science Foundation of China","keywords":"MIMO; Computer science; Orthogonal frequency-division multiplexing; Robustness (evolution); Channel (broadcasting); Fading; MIMO-OFDM; Algorithm; Electronic engineering; Transmission (telecommunications); Telecommunications; Engineering","score_opus":0.023838504926479247,"score_gpt":0.2784736615593145,"score_spread":0.25463515663283526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387449261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8520462,0.007889832,0.057784535,0.02858564,0.0021305257,0.0028364225,0.00022125439,0.005679452,0.042826172],"genre_scores_gemma":[0.9881185,0.008320849,0.003125727,0.00007855998,0.000054968925,0.000062910614,0.00006524268,0.000054670138,0.00011853094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875206,0.00023234048,0.0004016606,0.00012867851,0.0002159977,0.00026925173],"domain_scores_gemma":[0.99713373,0.0009191369,0.00011010766,0.0013982726,0.0003073969,0.00013137655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021661332,0.00017778632,0.00019271066,0.00054150826,0.00050389324,0.00010553617,0.0008959425,0.000101192214,0.000014125913],"category_scores_gemma":[0.00019385545,0.0001733005,0.000027658352,0.001988773,0.00021476556,0.00019583027,0.00008733486,0.00090960506,0.00006689986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049483413,0.0002634837,0.004565026,0.00003631436,0.00022145855,0.000037786238,0.0024723853,0.96640635,0.00312336,0.0020684744,0.008270264,0.012485646],"study_design_scores_gemma":[0.00097292295,0.0001339779,0.003830691,0.00037078295,0.000048520855,0.0004268077,0.0007883167,0.9517528,0.0006349846,0.0010582912,0.0395498,0.00043210454],"about_ca_topic_score_codex":0.000011401149,"about_ca_topic_score_gemma":0.00020765499,"teacher_disagreement_score":0.13607238,"about_ca_system_score_codex":0.00023542828,"about_ca_system_score_gemma":0.00007826458,"threshold_uncertainty_score":0.70669895},"labels":[],"label_agreement":null},{"id":"W4387969990","doi":"10.1109/jsac.2023.3313016","title":"Guest Editorial Digital Twins for Mobile Networks—Part I","year":2023,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Polytechnique Montréal","funders":"","keywords":"Computer science; Virtual world; Analytics; Set (abstract data type); Data science; Representation (politics); Mobile computing; Artificial intelligence; Human–computer interaction; Multimedia; Telecommunications","score_opus":0.023532952763988337,"score_gpt":0.2847268872561867,"score_spread":0.2611939344921984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387969990","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003654484,0.00019671285,0.00092082296,0.00006341558,0.9897158,0.0006220833,0.0017827665,0.0006536771,0.006008145],"genre_scores_gemma":[0.0017876158,0.0025891813,0.000116431496,0.000007440077,0.99113655,0.0006785124,0.0030582992,0.00025659642,0.00036935785],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968847,0.000094406736,0.0012752848,0.0002468356,0.0008344803,0.00066428503],"domain_scores_gemma":[0.9916845,0.0054940344,0.00028135235,0.0012850619,0.0010116838,0.00024337278],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00053528,0.0005004178,0.000578254,0.00057674444,0.00033851582,0.0009035197,0.00209402,0.0014183737,0.0000105625195],"category_scores_gemma":[0.0014082458,0.00055125,0.00024317173,0.0011994925,0.000108088716,0.0008214896,0.0000737294,0.005015869,0.00013299697],"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":[0.000031503303,0.0001260875,0.000005040126,0.000039184117,0.00013922714,0.0000024716346,0.000074086536,0.07014151,0.0000022996428,0.000018286664,0.9287766,0.00064367865],"study_design_scores_gemma":[0.0008587856,0.00016052804,0.000003120179,0.0006960798,0.00004319672,0.000007270979,0.00005851666,0.003797095,0.000012413253,0.00013037398,0.9937291,0.00050352025],"about_ca_topic_score_codex":0.0000036554936,"about_ca_topic_score_gemma":0.000061476756,"teacher_disagreement_score":0.06634441,"about_ca_system_score_codex":0.000816166,"about_ca_system_score_gemma":0.00045899735,"threshold_uncertainty_score":0.999878},"labels":[],"label_agreement":null},{"id":"W4388208328","doi":"10.1109/jsac.2023.3313017","title":"Guest Editorial Digital Twins for Mobile Networks—Part II","year":2023,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Polytechnique Montréal","funders":"","keywords":"Computer science; Computer network; Telecommunications","score_opus":0.02528842694597396,"score_gpt":0.3060338564320771,"score_spread":0.28074542948610315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388208328","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000053106112,0.00026935554,0.0103253275,0.00040121464,0.9875291,0.00052686257,0.000041421285,0.00040738093,0.0004462242],"genre_scores_gemma":[0.00021554154,0.0008548183,0.001678023,0.000031024,0.9958914,0.00020732345,0.0005384477,0.00010460791,0.00047880167],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957942,0.0003442057,0.0012302238,0.00059874344,0.0010833289,0.00094934634],"domain_scores_gemma":[0.98560584,0.008774492,0.00085203385,0.0025737172,0.0019080775,0.00028587252],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001430872,0.000522191,0.00070122414,0.0006715739,0.00173133,0.0014709993,0.0070377397,0.0009777815,9.836069e-7],"category_scores_gemma":[0.0031159404,0.00053099816,0.0003236215,0.0020002692,0.00011425489,0.0007365156,0.0011625618,0.0044718753,0.000059353733],"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":[0.000031316125,0.0003134103,0.000008943858,0.000010300838,0.00008061617,0.000006683175,0.0002591183,0.0013167968,0.0000027787914,0.00004445098,0.9957583,0.0021673155],"study_design_scores_gemma":[0.00084070815,0.00051147444,0.000007157263,0.00053325656,0.000028345909,0.00001222947,0.000008558441,0.014854063,0.0000056411272,0.0005079666,0.98216903,0.000521552],"about_ca_topic_score_codex":0.00001889293,"about_ca_topic_score_gemma":0.000045599485,"teacher_disagreement_score":0.013589223,"about_ca_system_score_codex":0.0006567582,"about_ca_system_score_gemma":0.0014580654,"threshold_uncertainty_score":0.99971414},"labels":[],"label_agreement":null},{"id":"W4389104731","doi":"10.1109/jsac.2023.3336191","title":"Safe and Accelerated Deep Reinforcement Learning-Based O-RAN Slicing: A Hybrid Transfer Learning Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Radio access network; Transfer of learning; Software deployment; Ran; Slicing; Reuse; Distributed computing; Artificial intelligence; Machine learning; Computer network; Software engineering; World Wide Web","score_opus":0.03479004449132257,"score_gpt":0.25823152373448477,"score_spread":0.2234414792431622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389104731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8779768,0.0006336158,0.10920545,0.00047527996,0.00025214453,0.00036852618,0.0000016508199,0.0015303015,0.009556252],"genre_scores_gemma":[0.9962272,0.0018437465,0.0013529646,0.00006484636,0.00008198629,0.00006506771,0.00012206453,0.00008877133,0.00015335073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980286,0.00044205564,0.00057700183,0.00019256715,0.00027745782,0.000482325],"domain_scores_gemma":[0.99830306,0.00075220515,0.000077575314,0.00051791186,0.0001790213,0.00017021524],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006136468,0.00026466933,0.0003002569,0.00056743633,0.00060922594,0.00017082879,0.00061253255,0.00012339225,0.000019243234],"category_scores_gemma":[0.00024370904,0.00028069504,0.000059869915,0.0016320839,0.000080586324,0.00016027055,0.000041687683,0.0026258854,0.000015698011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022259961,0.000048110494,0.0014713987,0.000022939035,0.00006046707,0.000010114278,0.00046093075,0.993729,0.0012525554,0.00009679488,0.00020123807,0.0026241925],"study_design_scores_gemma":[0.00087365916,0.00010174417,0.003117934,0.00025198702,0.00002321915,0.000060203794,0.00009588813,0.991549,0.00073477416,0.00002141984,0.0028832776,0.00028688138],"about_ca_topic_score_codex":0.000019571276,"about_ca_topic_score_gemma":0.00006528914,"teacher_disagreement_score":0.11825042,"about_ca_system_score_codex":0.0002137061,"about_ca_system_score_gemma":0.00007106147,"threshold_uncertainty_score":0.99996454},"labels":[],"label_agreement":null},{"id":"W4389104915","doi":"10.1109/jsac.2023.3334610","title":"Empowering the 6G Cellular Architecture With Open RAN","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Bundesministerium für Bildung und Forschung; National Science Foundation","keywords":"Ran; Computer science; Orchestration; Cellular network; Telecommunications; Modular design; Architecture; Standardization; Pace; Data science; Computer network","score_opus":0.02472272660466027,"score_gpt":0.2930426802013583,"score_spread":0.268319953596698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389104915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31074053,0.0022091044,0.6292602,0.008916364,0.0015160474,0.0036374282,0.000050565097,0.0022676045,0.04140213],"genre_scores_gemma":[0.99351877,0.00055302173,0.0054807276,0.000051936026,0.000071686634,0.000082143575,0.000025035026,0.00006197014,0.00015468165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896723,0.00019889479,0.00031906323,0.00010608898,0.00015429297,0.00025444254],"domain_scores_gemma":[0.9983097,0.00038281517,0.000093140254,0.0010206706,0.00012677211,0.00006692715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694281,0.00015147055,0.00017404227,0.00025306095,0.00039951096,0.00016910023,0.0015919022,0.000058179558,0.000011766618],"category_scores_gemma":[0.00008740476,0.00010899237,0.000028574665,0.0017290718,0.00004881113,0.00019304232,0.00010377979,0.00097464223,0.000032596625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017344282,0.00002456166,0.00019845691,0.000005668058,0.000042865384,0.000009310957,0.0013374109,0.9921264,0.0038345456,0.0001711022,0.00080175983,0.0014305933],"study_design_scores_gemma":[0.006179296,0.00050016335,0.008602078,0.0028666335,0.00013381157,0.0012006281,0.0042826915,0.8711001,0.015021271,0.004469392,0.083620876,0.0020230617],"about_ca_topic_score_codex":0.000011348911,"about_ca_topic_score_gemma":0.00028720312,"teacher_disagreement_score":0.68277824,"about_ca_system_score_codex":0.00015089553,"about_ca_system_score_gemma":0.000057788093,"threshold_uncertainty_score":0.44445798},"labels":[],"label_agreement":null},{"id":"W4389104987","doi":"10.1109/jsac.2023.3336156","title":"Flexible RAN Slicing in Open RAN With Constrained Multi-Agent Reinforcement Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Reinforcement learning; Computer science; Distributed computing; Leverage (statistics); Provisioning; Exploit; Software deployment; Slicing; Computer network; Artificial intelligence; Computer security; World Wide Web; Software engineering","score_opus":0.07500392290630888,"score_gpt":0.3300656627497989,"score_spread":0.25506173984349007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389104987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21366033,0.00053881167,0.7591833,0.012644122,0.000750503,0.0022718706,0.0000041684916,0.0012076434,0.009739294],"genre_scores_gemma":[0.975772,0.00072764425,0.02262653,0.00036710748,0.000034329383,0.000073998126,0.00001719926,0.000022283852,0.00035885742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978404,0.0005083089,0.0005930311,0.00026563316,0.00031700605,0.000475607],"domain_scores_gemma":[0.99729604,0.0009710736,0.00027720598,0.0010972891,0.00021341148,0.00014497744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012563479,0.0001901888,0.00029778137,0.000611267,0.0006107215,0.00046682567,0.0030367249,0.0000736997,0.00001567418],"category_scores_gemma":[0.00028623614,0.00016656461,0.000045461114,0.0034264482,0.00007119452,0.00047052727,0.00049271993,0.0012912817,0.00003809119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001398456,0.00045338497,0.025920736,0.000010902802,0.00009642598,0.00010798559,0.0065293484,0.9329221,0.0006002297,0.0061547356,0.0014326177,0.025631687],"study_design_scores_gemma":[0.0074788793,0.00057435397,0.040315405,0.0012892764,0.00001698877,0.00023100396,0.00088016904,0.9418834,0.00042807104,0.0006353931,0.0056542903,0.0006127792],"about_ca_topic_score_codex":0.00017074063,"about_ca_topic_score_gemma":0.0006558208,"teacher_disagreement_score":0.7621117,"about_ca_system_score_codex":0.00024731617,"about_ca_system_score_gemma":0.00034161433,"threshold_uncertainty_score":0.67923075},"labels":[],"label_agreement":null},{"id":"W4389164829","doi":"10.1109/jsac.2023.3322051","title":"Guest Editorial Special Issue on 5G/6G Precise Positioning on Cooperative Intelligent Transportation Systems (C-ITS) and Connected Automated Vehicles (CAV)–Part I","year":2023,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute of Informatics","keywords":"Computer science; Reliability (semiconductor); Robotics; Intelligent transportation system; Systems engineering; Telecommunications; Artificial intelligence; Robot; Power (physics); Transport engineering; Engineering","score_opus":0.02582361672225706,"score_gpt":0.3059619034261994,"score_spread":0.2801382867039423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389164829","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00172615,0.00017759604,0.0002972704,0.0005403971,0.99502736,0.00068284053,0.0000822845,0.00072227936,0.00074382214],"genre_scores_gemma":[0.0035484561,0.0012948578,0.0002657165,0.000035289202,0.9937188,0.00008109801,0.0007869742,0.00008800895,0.00018079515],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99438757,0.0014129307,0.001443219,0.00072800036,0.0013990247,0.0006292706],"domain_scores_gemma":[0.9888493,0.006417603,0.00094043737,0.0012402643,0.0022740464,0.0002783855],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0012457274,0.00062064413,0.0007980557,0.0009953933,0.0013861493,0.0012767145,0.0023465238,0.000874433,0.0000042985366],"category_scores_gemma":[0.0018768347,0.00061864,0.00012943153,0.0018785548,0.000116367024,0.00045953944,0.00010281883,0.0040058633,0.00016597567],"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":[0.00018834976,0.000375692,0.000007220783,0.000032721615,0.00013213477,0.00003570696,0.001808024,0.004365478,0.000104640974,0.00022204788,0.99185544,0.00087252964],"study_design_scores_gemma":[0.0013508495,0.0011342445,0.00019145015,0.004016239,0.00007459015,0.000017516903,0.00008262102,0.04233365,0.00049006863,0.00007318425,0.9494473,0.0007883158],"about_ca_topic_score_codex":0.00009710385,"about_ca_topic_score_gemma":0.00015516045,"teacher_disagreement_score":0.042408183,"about_ca_system_score_codex":0.00083109475,"about_ca_system_score_gemma":0.0008544448,"threshold_uncertainty_score":0.99991393},"labels":[],"label_agreement":null},{"id":"W4389898553","doi":"10.1109/jsac.2023.3322070","title":"Guest Editorial Special Issue on 5G/6G Precise Positioning on Cooperative Intelligent Transportation Systems (C-ITS) and Connected Automated Vehicles (CAV)—Part II","year":2023,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Transportation and Mobility Innovations","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 Waterloo","funders":"","keywords":"Computer science; Intelligent transportation system; Telecommunications; Systems engineering; Engineering management; Transport engineering; Engineering","score_opus":0.02025991325077089,"score_gpt":0.28911412887955545,"score_spread":0.2688542156287846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389898553","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011854773,0.00015190094,0.000041233496,0.0003586096,0.981953,0.0010545109,0.002288385,0.0012669875,0.0010305813],"genre_scores_gemma":[0.055963214,0.0035654688,0.00006892355,0.000027553047,0.93220043,0.00032917093,0.0074032517,0.00018381905,0.0002581495],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99614906,0.00041299735,0.001581968,0.0004328986,0.0009789205,0.00044418056],"domain_scores_gemma":[0.99405766,0.0025713812,0.0004232117,0.0007943305,0.0019420999,0.00021131121],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006091563,0.00058429246,0.00069655874,0.0010031697,0.0009327221,0.000325143,0.00070422346,0.0009294759,0.000043844757],"category_scores_gemma":[0.0009210884,0.0006277322,0.00010916038,0.0016957073,0.00011696148,0.0002736434,0.000012304175,0.0035595968,0.00010015337],"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":[0.0002148867,0.00038962104,0.000009110814,0.00006632834,0.00024784319,0.000011661944,0.0015416804,0.07880725,0.00037358596,0.00046395545,0.9176798,0.00019428867],"study_design_scores_gemma":[0.0015987079,0.00070553395,0.00061511365,0.0025250406,0.00016075787,0.0000050675053,0.0003087696,0.009435694,0.0007356861,0.000026648588,0.98316044,0.0007225498],"about_ca_topic_score_codex":0.00006309192,"about_ca_topic_score_gemma":0.0014079531,"teacher_disagreement_score":0.06937156,"about_ca_system_score_codex":0.0007496073,"about_ca_system_score_gemma":0.00040977803,"threshold_uncertainty_score":0.9996174},"labels":[],"label_agreement":null},{"id":"W4390044321","doi":"10.1109/jsac.2023.3345420","title":"Counterfactual Quantum Byzantine Consensus for Human-Centric Metaverse","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Institute for Information and Communications Technology Promotion; National Research Foundation of Korea; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; Queen's University; National Research Foundation; Queen's University Belfast; Royal Academy of Engineering","keywords":"Computer science; Byzantine fault tolerance; Counterfactual thinking; Robustness (evolution); Distributed computing; Scalability; Computer network; Fault tolerance","score_opus":0.05498757382258725,"score_gpt":0.328129737659432,"score_spread":0.27314216383684475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390044321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81737494,0.0005956996,0.1398163,0.037087686,0.00073704997,0.0013958431,0.00008644937,0.0015337692,0.0013722574],"genre_scores_gemma":[0.9911291,0.0004546775,0.007897889,0.00023352305,0.00004289301,0.00011487497,0.000022783543,0.00001616805,0.00008806757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835765,0.00021476929,0.00053666206,0.00026664237,0.00021593033,0.00040831644],"domain_scores_gemma":[0.99639505,0.00105397,0.00027480157,0.001708101,0.0004729279,0.00009513275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008594862,0.00016460783,0.000251078,0.00077676645,0.00089565525,0.00011857223,0.0026880195,0.00014962259,0.000008639095],"category_scores_gemma":[0.00029669312,0.00016045243,0.00008846604,0.00277205,0.00015695629,0.000099641344,0.00021816797,0.0008485356,0.00008190895],"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":[0.000039878236,0.0012690319,0.0012488263,0.000015163696,0.00017087605,0.000027923339,0.0010255668,0.0008717839,0.005739979,0.94727445,0.033888604,0.008427914],"study_design_scores_gemma":[0.0053821583,0.00076408294,0.014627895,0.00020382446,0.00009350433,0.0006849751,0.00050024746,0.59713537,0.0072687827,0.15755257,0.21465084,0.0011357772],"about_ca_topic_score_codex":0.000017896939,"about_ca_topic_score_gemma":0.00009235682,"teacher_disagreement_score":0.78972185,"about_ca_system_score_codex":0.00008872355,"about_ca_system_score_gemma":0.00017211576,"threshold_uncertainty_score":0.68887466},"labels":[],"label_agreement":null},{"id":"W4390044325","doi":"10.1109/jsac.2023.3345402","title":"Semantic Information Marketing in the Metaverse: A Learning-Based Contract Theory Framework","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Research Foundation Singapore","keywords":"Computer science; Incentive; Private information retrieval; Contract theory; Profit (economics); Incentive compatibility; Adverse selection; Computer security","score_opus":0.020872645660621105,"score_gpt":0.2814715017255548,"score_spread":0.2605988560649337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390044325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5930656,0.00051629805,0.3728286,0.02385343,0.0008700484,0.00092360814,0.0000041494377,0.0008081471,0.0071300967],"genre_scores_gemma":[0.9953141,0.00019614377,0.0035090572,0.0008873909,0.000035903562,0.000023953125,0.0000077333825,0.000009140868,0.000016580036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99550915,0.0031258222,0.00052062364,0.00012608692,0.00037806467,0.0003402431],"domain_scores_gemma":[0.9909927,0.0073293447,0.00030740155,0.0011069493,0.00020819531,0.0000553814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006536234,0.00013888332,0.00017878361,0.0006556293,0.0006672887,0.0005425998,0.0018436312,0.00009885466,0.000008467396],"category_scores_gemma":[0.0034772826,0.00010937079,0.00007389976,0.0030832295,0.00006539473,0.00050221314,0.00008706579,0.002032874,0.000075236305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033234613,0.00092235196,0.029895836,0.000096474454,0.00016909835,0.00019318875,0.0419438,0.7213404,0.00056970725,0.049905557,0.0030917649,0.15153944],"study_design_scores_gemma":[0.00080206775,0.000099008525,0.097835645,0.0008775618,0.000019384106,0.00016597606,0.0014417453,0.8838532,0.000089830115,0.006395142,0.008124569,0.00029588488],"about_ca_topic_score_codex":0.000021271388,"about_ca_topic_score_gemma":0.00006290769,"teacher_disagreement_score":0.40224847,"about_ca_system_score_codex":0.00011911334,"about_ca_system_score_gemma":0.00020166874,"threshold_uncertainty_score":0.88319385},"labels":[],"label_agreement":null},{"id":"W4390075088","doi":"10.1109/jsac.2023.3345422","title":"Collaborative and Verifiable VNF Management for Metaverse With Efficient Modular Designs","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Modular design; Metaverse; Quality of service; Distributed computing; Interoperability; Service (business); Verifiable secret sharing; Testbed; Computer network; Human–computer interaction; World Wide Web; Operating system; Virtual reality","score_opus":0.0332253612252593,"score_gpt":0.283208237722783,"score_spread":0.24998287649752368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390075088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08891057,0.0007143723,0.9025458,0.00415747,0.00035857473,0.0013702558,0.00002399719,0.0003865332,0.0015324295],"genre_scores_gemma":[0.8090826,0.0016486075,0.18852149,0.00026280823,0.000036324487,0.00021445655,0.000014004933,0.000023818508,0.00019584656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987981,0.00020215478,0.00024919663,0.00022025542,0.00023017873,0.00030015988],"domain_scores_gemma":[0.9979448,0.0006018577,0.00013643828,0.00087924016,0.00033381084,0.00010389554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005479973,0.00013794618,0.00018203132,0.0003554076,0.00054156984,0.00021310993,0.000985427,0.0000444892,0.0000022266051],"category_scores_gemma":[0.000056807192,0.000114664836,0.000030298119,0.0027567665,0.00006228124,0.0001568546,0.00014141106,0.00029218674,0.00001075005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030912398,0.0010318264,0.001426442,0.000044920074,0.000604304,0.00011231249,0.0036333674,0.8557626,0.00053366536,0.09617809,0.018484704,0.021878656],"study_design_scores_gemma":[0.0028418312,0.0006823843,0.009919896,0.00032735345,0.00007454564,0.00008785775,0.00046591475,0.95398164,0.00049226946,0.005279512,0.02538119,0.00046560174],"about_ca_topic_score_codex":0.0000052036366,"about_ca_topic_score_gemma":0.000029730982,"teacher_disagreement_score":0.72017205,"about_ca_system_score_codex":0.00010422045,"about_ca_system_score_gemma":0.00011583745,"threshold_uncertainty_score":0.46758965},"labels":[],"label_agreement":null},{"id":"W4390075313","doi":"10.1109/jsac.2023.3345391","title":"Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Huawei Technologies; National Natural Science Foundation of China","keywords":"Computer science; Bottleneck; Queueing theory; Generalization; Artificial neural network; Machine learning; Distributed computing; Network simulation; Artificial intelligence; Computer network","score_opus":0.2746810900907732,"score_gpt":0.4485988313767286,"score_spread":0.17391774128595544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390075313","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04668876,0.0003695468,0.9472266,0.0044083013,0.00048653394,0.00046923285,0.0000019742308,0.00012811621,0.0002209709],"genre_scores_gemma":[0.8882545,0.0009452802,0.11006617,0.00034553817,0.00029933878,0.000033661927,0.000014741814,0.00002252131,0.000018248014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967945,0.0011000981,0.0008276134,0.00027672533,0.00038671945,0.000614313],"domain_scores_gemma":[0.99658275,0.0016927875,0.00025460016,0.0010046827,0.00034970528,0.000115469054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028963983,0.00017494788,0.00030920363,0.000601943,0.0008114349,0.00037203735,0.0014162251,0.00010575981,0.0000049648593],"category_scores_gemma":[0.00026692747,0.00017662936,0.00010874649,0.0034415284,0.000028688148,0.00077491906,0.00031131267,0.0010023271,0.00001152308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034258173,0.00049678225,0.0009546892,0.000012741846,0.00005742779,0.00003609065,0.0006910908,0.9790593,0.0012260525,0.010585577,0.0024680141,0.004378002],"study_design_scores_gemma":[0.0006636832,0.00007211255,0.0003127286,0.00031128243,0.00001823077,0.00004770889,0.00013297948,0.9875289,0.00007093707,0.009248753,0.0014003556,0.0001922804],"about_ca_topic_score_codex":0.00006730271,"about_ca_topic_score_gemma":0.00019444429,"teacher_disagreement_score":0.8415657,"about_ca_system_score_codex":0.0003569235,"about_ca_system_score_gemma":0.00035321264,"threshold_uncertainty_score":0.7202736},"labels":[],"label_agreement":null},{"id":"W4390187312","doi":"10.1109/jsac.2023.3345381","title":"HeadTrack: Real-Time Human–Computer Interaction via Wireless Earphones","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Key Research and Development Program of China; Shenzhen Science and Technology Innovation Program; Key Research and Development Program of Hunan Province of China; Basic and Applied Basic Research Foundation of Guangdong Province; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Wireless; Telecommunications","score_opus":0.054790490615987175,"score_gpt":0.3309793096014351,"score_spread":0.27618881898544795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390187312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85411465,0.00003991659,0.12733804,0.009612384,0.002168454,0.00064355886,0.0000138402465,0.0014599062,0.0046092332],"genre_scores_gemma":[0.9960207,0.00026169137,0.0027823881,0.00022154782,0.00028755653,0.00005685615,0.000028603761,0.000032204272,0.00030849155],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969387,0.0010412771,0.00077818724,0.00035587317,0.0004598256,0.0004261544],"domain_scores_gemma":[0.9957106,0.0012137747,0.0004509507,0.0016742629,0.0007785999,0.00017178216],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008352048,0.00023978826,0.0003604528,0.0010210968,0.0006997284,0.00047481453,0.0022885564,0.00013480488,0.00003528198],"category_scores_gemma":[0.00006389219,0.00024720636,0.00013074257,0.00272741,0.00007645516,0.0011224108,0.00030911624,0.0011176103,0.0011351339],"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":[0.00013122035,0.00347793,0.008608965,0.00006218465,0.0005672436,0.0002973552,0.008780148,0.0020740954,0.25377518,0.006429315,0.053338237,0.6624581],"study_design_scores_gemma":[0.0029438608,0.000832834,0.094886675,0.001537864,0.00004472279,0.002788841,0.0002631676,0.87093884,0.009057189,0.0064938036,0.008599962,0.0016122492],"about_ca_topic_score_codex":0.00020366078,"about_ca_topic_score_gemma":0.00042212725,"teacher_disagreement_score":0.8688647,"about_ca_system_score_codex":0.00036504833,"about_ca_system_score_gemma":0.00014943324,"threshold_uncertainty_score":0.99999803},"labels":[],"label_agreement":null},{"id":"W4390481005","doi":"10.1109/jsac.2023.3345385","title":"MLOps in the Metaverse: Human-Centric Continuous Integration","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Metaverse; Human–computer interaction; Artificial intelligence; Virtual machine; Field (mathematics); Virtual reality; Machine learning; Programming language","score_opus":0.044867566702838375,"score_gpt":0.3355270953609135,"score_spread":0.29065952865807515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390481005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10014844,0.007968446,0.7934928,0.073349774,0.0015945807,0.0023649875,0.000017844775,0.0009176281,0.020145496],"genre_scores_gemma":[0.987745,0.0011563681,0.010210167,0.0005611085,0.000094616495,0.0001091261,0.0000116528245,0.000013919781,0.00009808094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979605,0.0006802575,0.000525263,0.00024497864,0.00030634194,0.00028267512],"domain_scores_gemma":[0.9969342,0.0012384523,0.00014036064,0.0014527561,0.00017569312,0.000058554204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073480303,0.00015651752,0.00017032494,0.00053308124,0.00043048605,0.0004519529,0.003076409,0.0000665306,0.00000959124],"category_scores_gemma":[0.00013781061,0.00011578505,0.000069312715,0.0043010213,0.00007421995,0.0005696727,0.00011590001,0.0015883144,0.00006473171],"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":[0.00001747815,0.0012320669,0.0008791429,0.00001137566,0.00007497347,0.00014623576,0.0060435454,0.0075989463,0.0061450396,0.80767304,0.01613739,0.1540408],"study_design_scores_gemma":[0.0023121182,0.0006309625,0.0411096,0.0014093292,0.000109843044,0.0025635532,0.0011127596,0.46313316,0.0027746975,0.2206279,0.26273438,0.001481687],"about_ca_topic_score_codex":0.000016750373,"about_ca_topic_score_gemma":0.0003116889,"teacher_disagreement_score":0.88759655,"about_ca_system_score_codex":0.0002695317,"about_ca_system_score_gemma":0.00012967938,"threshold_uncertainty_score":0.6900524},"labels":[],"label_agreement":null},{"id":"W4390905677","doi":"10.1109/jsac.2023.3334605","title":"Guest Editorial Open RAN: A New Paradigm for Open, Virtualized, Programmable, and Intelligent Cellular Networks","year":2024,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ran; Computer science; C-RAN; Automation; Intelligent Network; Open architecture; Architecture; Computer network; Radio access network; Operating system; Base station; Engineering","score_opus":0.027928187274314037,"score_gpt":0.320020775224064,"score_spread":0.29209258794975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390905677","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000019218423,0.007953326,0.14280355,0.00018639014,0.84528196,0.0030327104,0.00013025837,0.00019307963,0.00041683],"genre_scores_gemma":[0.00036796828,0.016359314,0.014057061,0.000015556125,0.9658203,0.0009736897,0.0012833428,0.00032455934,0.00079821044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968217,0.00035188693,0.0013586095,0.00048223254,0.00042255395,0.00056304457],"domain_scores_gemma":[0.99495006,0.0021703653,0.00044225177,0.001501167,0.00060369476,0.00033247846],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0011787474,0.00059362565,0.00095599954,0.00043222177,0.00041209662,0.0022015458,0.004125059,0.0010492217,0.000007747606],"category_scores_gemma":[0.0009269378,0.0006085423,0.00012070073,0.0010458357,0.00007554025,0.00063480914,0.0006231876,0.003612315,0.000013884373],"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":[0.0001988463,0.000101228354,0.0000011553908,0.000079942656,0.00023618476,0.0000055211726,0.00026174248,0.10032024,0.000016690847,0.00024140051,0.8970547,0.0014823762],"study_design_scores_gemma":[0.0019479698,0.00022621272,1.8037777e-7,0.0017642486,0.00015984422,0.000018566954,0.000040558025,0.052263916,0.000037937298,0.0013166287,0.9416515,0.00057242246],"about_ca_topic_score_codex":0.0001535767,"about_ca_topic_score_gemma":0.00082552613,"teacher_disagreement_score":0.12874648,"about_ca_system_score_codex":0.00086646463,"about_ca_system_score_gemma":0.0008315074,"threshold_uncertainty_score":0.9996366},"labels":[],"label_agreement":null},{"id":"W4392172639","doi":"10.1109/jsac.2024.3365886","title":"Semantically-Disentangled Progressive Image Compression for Deep Space Communications: Exploring the Ultra-low Rate Regime","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Xiamen Southern Oceanographic Center; National Natural Science Foundation of China","keywords":"Computer science; Image compression; Data compression; Space (punctuation); Artificial intelligence; Computer vision; Image (mathematics); Image processing","score_opus":0.05587107475160344,"score_gpt":0.3515099658920929,"score_spread":0.29563889114048947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392172639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002267627,0.0050731925,0.9556835,0.03308259,0.00060012453,0.0015056697,0.0000366346,0.0009362349,0.0008144101],"genre_scores_gemma":[0.5861216,0.007538652,0.404051,0.00048891985,0.00015471426,0.0014112524,0.00006989783,0.00007235066,0.000091612754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965804,0.0012688963,0.0008012161,0.00044864646,0.00040596962,0.0004948697],"domain_scores_gemma":[0.9886391,0.004811302,0.00036343405,0.005332982,0.0006784007,0.00017476654],"candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0011429648,0.0003173399,0.000337042,0.00045934913,0.001325255,0.0009664569,0.0081601925,0.00009424045,0.000008172143],"category_scores_gemma":[0.0007857354,0.00023122132,0.00015769058,0.0017748734,0.00044357203,0.0017996986,0.0008636991,0.0017144636,0.00002795401],"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":[0.00036901468,0.0034283455,0.0002518429,0.00029776443,0.00051747175,0.00020666103,0.00858402,0.0013268591,0.2296118,0.4927785,0.047085997,0.21554172],"study_design_scores_gemma":[0.0018024211,0.00049369445,0.001190808,0.007980152,0.00011546401,0.00084045186,0.00058304373,0.6852892,0.11297154,0.09751749,0.08987798,0.0013377306],"about_ca_topic_score_codex":0.000005229166,"about_ca_topic_score_gemma":0.000024565818,"teacher_disagreement_score":0.68396235,"about_ca_system_score_codex":0.00027925102,"about_ca_system_score_gemma":0.00023700934,"threshold_uncertainty_score":0.9999749},"labels":[],"label_agreement":null},{"id":"W4392282868","doi":"10.1109/jsac.2023.3344091","title":"Guest Editorial Human-Centric Communication and Networking for Metaverse Over 5G and Beyond Networks—Part I","year":2024,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Nanjing Institute of Technology; University of Michigan; Purdue University","keywords":"Computer science; Metaverse; Human–computer interaction; Data science; Computer network; Virtual reality","score_opus":0.016853248111231383,"score_gpt":0.2815675312163626,"score_spread":0.2647142831051312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392282868","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020415247,0.020456728,0.0002156738,0.00010391246,0.9772865,0.0005555694,0.000121058496,0.0002293675,0.0008270474],"genre_scores_gemma":[0.016835278,0.047482245,0.00033525532,0.000014701375,0.9342456,0.00011253816,0.00070097565,0.00016756906,0.00010582118],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974345,0.0003557637,0.0010066673,0.0002935548,0.00045747394,0.0004520631],"domain_scores_gemma":[0.9955107,0.0023514729,0.00034269056,0.001176462,0.00044695623,0.0001717105],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0011353099,0.00044532033,0.00066043617,0.00050994713,0.0006605041,0.000711686,0.0009316705,0.0008952864,0.0000032135965],"category_scores_gemma":[0.00019074873,0.000454731,0.000113214,0.00068291626,0.00011190576,0.00019957229,0.0001373549,0.0033591895,0.0000043686055],"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":[0.000015984042,0.00005569431,0.000016939768,0.00009158769,0.00026396103,0.0000029249059,0.00015124345,0.010335839,0.000029086643,0.0000945343,0.9886467,0.00029552012],"study_design_scores_gemma":[0.00086174236,0.000074368916,0.000016596254,0.0011962428,0.00023862622,0.000017201031,0.000029145676,0.06792591,0.0000038333787,0.00033151187,0.9288992,0.00040557177],"about_ca_topic_score_codex":0.000028306284,"about_ca_topic_score_gemma":0.00026206172,"teacher_disagreement_score":0.059747435,"about_ca_system_score_codex":0.00039582266,"about_ca_system_score_gemma":0.00012987069,"threshold_uncertainty_score":0.99979043},"labels":[],"label_agreement":null},{"id":"W4392904767","doi":"10.1109/jsac.2024.3365878","title":"Stigmergy and Hierarchical Learning for Routing Optimization in Multi-Domain Collaborative Satellite Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China","keywords":"Computer science; Stigmergy; Computer network; Hierarchical routing; Routing (electronic design automation); Distributed computing; Communications satellite; Collaborative learning; Domain (mathematical analysis); Satellite; Routing protocol; Static routing; Knowledge management","score_opus":0.03301160809990295,"score_gpt":0.3013068056940218,"score_spread":0.26829519759411885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392904767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034608558,0.07443937,0.8839729,0.0016329,0.00079870305,0.001389634,0.00002102693,0.00067985925,0.0024570974],"genre_scores_gemma":[0.9366748,0.03116711,0.03177274,0.000028515451,0.000073846735,0.00012535405,0.000060945174,0.0000657287,0.00003096929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979083,0.0007447687,0.00071986305,0.00018142449,0.0001378218,0.00030781684],"domain_scores_gemma":[0.9971337,0.0019769745,0.0000941666,0.00046696787,0.00022759734,0.0001006266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000968931,0.00019930361,0.00027281066,0.0005752164,0.00027351416,0.0002759632,0.00048250283,0.00015967294,0.000004749102],"category_scores_gemma":[0.00029319126,0.0002110236,0.00004246247,0.0018238223,0.00007774431,0.00025134286,0.000057551297,0.0015438218,0.0000030087922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026714379,0.000060213802,0.0024436344,0.000028840048,0.00005990101,0.000004660195,0.0026563918,0.97854674,0.0004130201,0.0013726013,0.000033240707,0.014354056],"study_design_scores_gemma":[0.0005796994,0.0000446669,0.0022685598,0.0007077243,0.000009159403,0.00004513666,0.000528157,0.9835927,0.000037199683,0.00010671326,0.011874294,0.0002059991],"about_ca_topic_score_codex":0.000008221847,"about_ca_topic_score_gemma":0.00024741757,"teacher_disagreement_score":0.90206623,"about_ca_system_score_codex":0.0002939694,"about_ca_system_score_gemma":0.00010000575,"threshold_uncertainty_score":0.86052924},"labels":[],"label_agreement":null},{"id":"W4393079426","doi":"10.1109/jsac.2024.3380102","title":"Security of Coherent-State Quantum Key Distribution Using Displacement Receiver","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Quantum key distribution; Computer science; Key (lock); Coherent states; State (computer science); Quantum cryptography; Telecommunications; Computer network; Electronic engineering; Quantum; Computer security; Quantum information; Algorithm; Quantum mechanics; Physics","score_opus":0.029439411267983665,"score_gpt":0.30640590006936513,"score_spread":0.27696648880138147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393079426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5478441,0.0009652511,0.4466115,0.0021220825,0.0008385027,0.00029327188,0.00008260894,0.00016457296,0.0010781304],"genre_scores_gemma":[0.99696004,0.0009433703,0.0019527294,0.000069512294,0.000019191768,0.000008365542,0.00003196058,0.0000070374394,0.000007800618],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984285,0.00031359223,0.00061083277,0.00013151183,0.0002991224,0.00021644615],"domain_scores_gemma":[0.9983293,0.0002333306,0.00023100163,0.000773771,0.0003374811,0.00009511666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000557154,0.0001295313,0.00016284353,0.00036279563,0.0002457963,0.00025390877,0.0011611804,0.000052973348,0.00001929438],"category_scores_gemma":[0.000056471523,0.00011690532,0.00009716234,0.001875722,0.00008554298,0.0007045274,0.000109906636,0.0006507282,0.000018298708],"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":[0.00013654015,0.0017967325,0.004680603,0.00016972676,0.00037616235,0.00002881854,0.013003133,0.008768255,0.006107112,0.9306125,0.012078622,0.022241788],"study_design_scores_gemma":[0.0004663884,0.00016151958,0.004383679,0.00062543363,0.000020269505,0.000112598536,0.00012573336,0.9534938,0.0018437859,0.023844698,0.01467658,0.00024551572],"about_ca_topic_score_codex":0.000031784482,"about_ca_topic_score_gemma":0.00004633155,"teacher_disagreement_score":0.9447255,"about_ca_system_score_codex":0.00021836838,"about_ca_system_score_gemma":0.00022328744,"threshold_uncertainty_score":0.47672606},"labels":[],"label_agreement":null},{"id":"W4399602013","doi":"10.1109/jsac.2024.3413973","title":"Maximizing the Value of Service Provisioning in Multi-User ISAC Systems Through Fairness Guaranteed Collaborative Resource Allocation","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Provisioning; Resource allocation; Computer network; Resource management (computing); Max-min fairness; Service (business); Quality of service; Distributed computing; Business","score_opus":0.04461792930972024,"score_gpt":0.31846220050942875,"score_spread":0.2738442711997085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399602013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2879412,0.011785762,0.65801316,0.029514173,0.00718079,0.0020291987,0.000005418755,0.000469805,0.0030604713],"genre_scores_gemma":[0.9844222,0.00018081069,0.014722686,0.00034950805,0.00020439654,0.000040379982,0.0000052559626,0.000024330655,0.000050409642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99699295,0.0012366446,0.00081121875,0.00026973544,0.00037764676,0.00031181594],"domain_scores_gemma":[0.9963344,0.0014761,0.00032648075,0.0011597754,0.00065987057,0.0000433968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015226039,0.0001889143,0.00027392167,0.00038527627,0.0004974779,0.000514051,0.0025377756,0.000101387275,4.568036e-7],"category_scores_gemma":[0.00023792461,0.00014565153,0.00005235059,0.00484467,0.00006845461,0.00060224993,0.00028780903,0.0011642844,0.00000925419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018719133,0.0020144596,0.0058356025,0.00053177937,0.00046185544,0.00010882853,0.24650359,0.4681095,0.014670039,0.23529887,0.0074300016,0.018848307],"study_design_scores_gemma":[0.00056742114,0.00007122067,0.0032084165,0.0027105396,0.000015736827,0.0001297353,0.0016834682,0.97619015,0.00074957614,0.00074913754,0.013695923,0.00022868579],"about_ca_topic_score_codex":0.0002989364,"about_ca_topic_score_gemma":0.00016846294,"teacher_disagreement_score":0.69648105,"about_ca_system_score_codex":0.00029652918,"about_ca_system_score_gemma":0.0005257784,"threshold_uncertainty_score":0.59394974},"labels":[],"label_agreement":null},{"id":"W4399666016","doi":"10.1109/jsac.2024.3414932","title":"Variational Anonymous Quantum Sensing","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Research Foundation of Korea","keywords":"Computer science; Quantum; Computer network; Computer security; Quantum mechanics; Physics","score_opus":0.02797545616318897,"score_gpt":0.2915925482560826,"score_spread":0.26361709209289363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399666016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017392764,0.0010623197,0.9482079,0.01568915,0.0016910073,0.0001945214,0.000009025094,0.00056338403,0.015189905],"genre_scores_gemma":[0.96497697,0.00045438195,0.03362874,0.0007742925,0.00010043972,0.0000051052853,0.000010521125,0.000011653605,0.000037924485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844766,0.00027564948,0.00050802896,0.00015374659,0.00036806424,0.000246876],"domain_scores_gemma":[0.99801826,0.0005576472,0.00012222624,0.0008820199,0.00030898445,0.00011085147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005980793,0.00013451312,0.00013302208,0.0008522955,0.00040903845,0.0007592651,0.001377398,0.000073359435,0.000025521724],"category_scores_gemma":[0.00010125476,0.00012389813,0.000091777554,0.0024463779,0.000053905198,0.0008885197,0.00009351702,0.0009161272,0.00014978967],"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":[0.000009231636,0.00018373484,0.0001921638,0.000010812222,0.000066696426,0.00003356782,0.0020293882,0.0013171816,0.0007148779,0.9537644,0.0082875155,0.033390433],"study_design_scores_gemma":[0.0002687225,0.000079381774,0.0037426217,0.00021213533,0.000008202695,0.00069517817,0.00005813714,0.9164571,0.00016865012,0.041120797,0.03696255,0.00022652038],"about_ca_topic_score_codex":0.000009497699,"about_ca_topic_score_gemma":0.000023719293,"teacher_disagreement_score":0.94758415,"about_ca_system_score_codex":0.00014229238,"about_ca_system_score_gemma":0.0003764734,"threshold_uncertainty_score":0.7321611},"labels":[],"label_agreement":null},{"id":"W4399666151","doi":"10.1109/jsac.2024.3414597","title":"WiShield: Privacy Against Wi-Fi Human Tracking","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","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":"Simon Fraser University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Information privacy; Privacy protection; Computer security","score_opus":0.08218276517780866,"score_gpt":0.3832439479129203,"score_spread":0.3010611827351117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399666151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80821157,0.0074875522,0.0030448814,0.06144083,0.0032493644,0.0012950967,0.00008052201,0.0012078692,0.11398234],"genre_scores_gemma":[0.99273866,0.005347525,0.0007473771,0.00029508804,0.000609907,0.000028289223,0.000036758447,0.000023351224,0.00017303466],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975483,0.000974197,0.00046174644,0.00021322009,0.00042952006,0.00037302222],"domain_scores_gemma":[0.9977878,0.00065412075,0.00014176739,0.0009971281,0.00025331436,0.00016589787],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014846526,0.00014486074,0.00017312744,0.00046100293,0.0020146612,0.0007812386,0.002128152,0.00016722354,0.00007431865],"category_scores_gemma":[0.0015680437,0.00014746671,0.000089547815,0.0015710776,0.00022586186,0.0008820646,0.00017916279,0.0017297432,0.00006627734],"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":[0.00016140341,0.004216759,0.013633508,0.00019050483,0.00061151746,0.00029469142,0.16562623,0.00037391012,0.02939695,0.31629708,0.13862523,0.33057222],"study_design_scores_gemma":[0.0009060198,0.0002426214,0.014006122,0.0018224699,0.000075742726,0.00009664153,0.003699536,0.001471424,0.0011158194,0.08840212,0.88733304,0.0008284186],"about_ca_topic_score_codex":0.00050380727,"about_ca_topic_score_gemma":0.0063386266,"teacher_disagreement_score":0.74870783,"about_ca_system_score_codex":0.00051539065,"about_ca_system_score_gemma":0.00057440356,"threshold_uncertainty_score":0.99928457},"labels":[],"label_agreement":null},{"id":"W4399666248","doi":"10.1109/jsac.2024.3414627","title":"Multiuser Association and Localization Over Doubly Dispersive Multipath Channels for Integrated Sensing and Communications","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Computer science; Multipath propagation; Association (psychology); Telecommunications; Computer network; Data association; Electronic engineering; Channel (broadcasting); Artificial intelligence; Probabilistic logic","score_opus":0.02167535399593775,"score_gpt":0.27910652851539225,"score_spread":0.2574311745194545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399666248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.281781,0.013401176,0.69007105,0.006644596,0.0019461374,0.0021172343,0.00036246824,0.0023895886,0.0012867703],"genre_scores_gemma":[0.98908824,0.0058335774,0.0046893544,0.00009582266,0.000047288948,0.000044802502,0.00011011228,0.00004350322,0.00004729561],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998987,0.00013111604,0.00038667928,0.00014442056,0.00012915938,0.0002216353],"domain_scores_gemma":[0.9981462,0.000855594,0.0000829633,0.0005204823,0.0003347297,0.000060054033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033609266,0.00017339381,0.00019331284,0.00046514499,0.00039744622,0.0002872579,0.00033408377,0.00020094644,0.000004105098],"category_scores_gemma":[0.00043227355,0.00016773371,0.00004048426,0.00079727045,0.00009644797,0.00028423843,0.0000542031,0.0006811574,0.000003405713],"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":[0.00039821758,0.0013177971,0.060533587,0.0011715252,0.003032724,0.00004597431,0.059202842,0.3211945,0.03950867,0.052700225,0.05537341,0.40552053],"study_design_scores_gemma":[0.00058681594,0.000041768883,0.0011543863,0.0003712656,0.000046272056,0.000028741084,0.00053405593,0.9778192,0.0012449339,0.00078843563,0.017175902,0.00020823552],"about_ca_topic_score_codex":0.000039869246,"about_ca_topic_score_gemma":0.00039964364,"teacher_disagreement_score":0.7073073,"about_ca_system_score_codex":0.0004509248,"about_ca_system_score_gemma":0.000049145772,"threshold_uncertainty_score":0.6839982},"labels":[],"label_agreement":null},{"id":"W4399768158","doi":"10.1109/jsac.2024.3379106","title":"Guest Editorial The Quantum Internet: Principles, Protocols and Architectures","year":2024,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; The Internet; World Wide Web","score_opus":0.024513454646586823,"score_gpt":0.3131574253531464,"score_spread":0.28864397070655956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399768158","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034026653,0.0010226778,0.0017776655,0.0034449624,0.9899754,0.0028541943,0.000048677426,0.0002542849,0.00028187947],"genre_scores_gemma":[0.0019920843,0.00037419883,0.0032135858,0.00008830543,0.99298185,0.0010552789,0.000031700147,0.00007617716,0.00018681353],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99535716,0.0011802664,0.00097146124,0.0006475412,0.0012725276,0.0005710329],"domain_scores_gemma":[0.9917373,0.004209883,0.00059590436,0.0026404536,0.0006151741,0.0002013038],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017185684,0.00055289635,0.0005579162,0.00060417945,0.0006686561,0.0018441073,0.0072820075,0.00061661453,0.0000019483298],"category_scores_gemma":[0.0015161837,0.00036758705,0.00017397944,0.0011655814,0.00029300177,0.00011043364,0.0014332859,0.009901847,0.000024528175],"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":[0.000029490691,0.00016360852,0.0000072069147,0.00004522623,0.000092217844,0.000027800434,0.0013896825,0.0006938905,0.000016022577,0.0014507096,0.9926835,0.0034006538],"study_design_scores_gemma":[0.000410707,0.00034774467,0.00006068092,0.0016898146,0.000024339184,0.00016163762,0.000009619123,0.060003355,0.000018155348,0.004782362,0.9321031,0.00038851443],"about_ca_topic_score_codex":0.00008603446,"about_ca_topic_score_gemma":0.00027156266,"teacher_disagreement_score":0.060580418,"about_ca_system_score_codex":0.00025094597,"about_ca_system_score_gemma":0.0012145356,"threshold_uncertainty_score":0.99987763},"labels":[],"label_agreement":null},{"id":"W4400488979","doi":"10.1109/jsac.2024.3423629","title":"Positioning Using Wireless Networks: Applications, Recent Progress, and Future Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Wireless network; Wireless; Telecommunications; Computer network","score_opus":0.023285538016640434,"score_gpt":0.2765850524140299,"score_spread":0.2532995143973895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400488979","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048087105,0.80704147,0.10330313,0.027179064,0.0020810661,0.0015347479,0.000038077218,0.0043350025,0.006400361],"genre_scores_gemma":[0.772871,0.22304654,0.0035530361,0.000035258112,0.00032405235,0.000108553286,0.000017830125,0.00003920659,0.0000044731405],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991622,0.00008287075,0.0003020486,0.00012843612,0.000118771815,0.00020566689],"domain_scores_gemma":[0.9990932,0.000113298316,0.000043600787,0.0005552805,0.00014186373,0.000052790954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018313463,0.00014432795,0.00014230251,0.00032299873,0.00029493324,0.00018538786,0.0004770662,0.00014859103,0.000008738579],"category_scores_gemma":[0.000012747516,0.0001395957,0.000026682195,0.000898734,0.00008909932,0.0001780626,0.000052479885,0.00083509914,0.0000042387696],"study_design_candidate":"design_other","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":[0.00001640041,0.00016845834,0.0006940308,0.00016251532,0.00023460374,0.000022724711,0.0010936309,0.045300484,0.00052165624,0.0523146,0.0019225051,0.8975484],"study_design_scores_gemma":[0.0003547634,0.00006203695,0.0015111757,0.0009400565,0.00007038352,0.0005444503,0.0006623254,0.8146326,0.00086403114,0.0044963504,0.17537457,0.00048726334],"about_ca_topic_score_codex":9.800518e-7,"about_ca_topic_score_gemma":0.000020192683,"teacher_disagreement_score":0.8970611,"about_ca_system_score_codex":0.00020556206,"about_ca_system_score_gemma":0.000045543973,"threshold_uncertainty_score":0.5692547},"labels":[],"label_agreement":null},{"id":"W4400877879","doi":"10.1109/jsac.2024.3431579","title":"Decoding of Polar Codes Using Quadratic Unconstrained Binary Optimization","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Error Correcting Code Techniques","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":"McGill University","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Decoding methods; Binary number; Polar; Sequential decoding; List decoding; Algorithm; Binary code; Quadratic equation; Theoretical computer science; Concatenated error correction code; Block code; Arithmetic; Mathematics","score_opus":0.05457634294375869,"score_gpt":0.3419000424481128,"score_spread":0.2873236995043541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400877879","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06775355,0.0009600544,0.9282564,0.0011178363,0.00041269144,0.000176381,0.000004506044,0.0003994349,0.0009191793],"genre_scores_gemma":[0.6697678,0.00022067066,0.32992345,0.000037945156,0.000022532307,0.000004725611,0.0000028661032,0.000013239087,0.000006755597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982503,0.0005047646,0.00059201685,0.00018961076,0.00025178381,0.0002114972],"domain_scores_gemma":[0.9974538,0.0009298045,0.00023430087,0.0009617844,0.0003525923,0.000067685665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082501635,0.0001451567,0.00021363581,0.0008560632,0.00027626433,0.00023765363,0.0016138465,0.00008487669,0.0000077074355],"category_scores_gemma":[0.00036076576,0.00014354098,0.00007232316,0.0023110015,0.00008772978,0.0006050236,0.00014722768,0.00078749395,0.0000024908209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060385493,0.0015797992,0.009882859,0.00021229059,0.00037295793,0.0001875181,0.010202685,0.68412066,0.17361188,0.075839475,0.0015163444,0.042413168],"study_design_scores_gemma":[0.000111009605,0.000109141576,0.00019142013,0.00090298156,0.000014394334,0.00033000793,0.000065990964,0.9924325,0.003581173,0.00205933,0.000051022816,0.00015104623],"about_ca_topic_score_codex":0.00005046805,"about_ca_topic_score_gemma":0.00007045636,"teacher_disagreement_score":0.60201424,"about_ca_system_score_codex":0.00031120822,"about_ca_system_score_gemma":0.0005112264,"threshold_uncertainty_score":0.5853431},"labels":[],"label_agreement":null},{"id":"W4401567372","doi":"10.1109/jsac.2024.3443759","title":"A Survey of Recent Advances in Optimization Methods for Wireless Communications","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; Canada Research Chairs","keywords":"Computer science; Wireless; Telecommunications; Computer network","score_opus":0.06791874814181002,"score_gpt":0.3948826588420869,"score_spread":0.32696391070027686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401567372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038727518,0.027394831,0.9695236,0.00033325987,0.00042011702,0.00055786053,0.000056432586,0.00014425331,0.0011823326],"genre_scores_gemma":[0.48120174,0.11124775,0.40693703,0.000017695846,0.000028503835,0.00024592687,0.00022984199,0.000077538985,0.0000139758895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977373,0.00087642175,0.0009154022,0.00014448982,0.00010435464,0.00022202983],"domain_scores_gemma":[0.99541646,0.0025950128,0.00016072307,0.0011501897,0.0006190591,0.00005858252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443953,0.00017046779,0.000325534,0.00069485424,0.0001224282,0.000059467664,0.0009814466,0.00011681504,0.000010684268],"category_scores_gemma":[0.0006232945,0.00018149185,0.00004795643,0.0025139635,0.00007707362,0.00048513338,0.00004146865,0.00067429856,0.0000016683163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020186877,0.000121250225,0.00038572386,0.000062664665,0.000031874682,3.4876368e-7,0.00037961124,0.92349625,0.00058503816,0.00078456843,0.00007510574,0.07405737],"study_design_scores_gemma":[0.00037513222,0.000045773897,0.0006662451,0.00055792223,0.000014233036,0.000014162608,0.000074227486,0.99163294,0.0004831357,0.0003828283,0.005579892,0.00017353104],"about_ca_topic_score_codex":0.000021826614,"about_ca_topic_score_gemma":0.0012818077,"teacher_disagreement_score":0.5625866,"about_ca_system_score_codex":0.00044694115,"about_ca_system_score_gemma":0.00015247884,"threshold_uncertainty_score":0.7401023},"labels":[],"label_agreement":null},{"id":"W4401870958","doi":"10.1109/jsac.2024.3423608","title":"Guest Editorial Positioning and Sensing Over Wireless Networks—Part I","year":2024,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Computer network; Wireless; Telecommunications; Wireless network","score_opus":0.008601224246973658,"score_gpt":0.25448842771305447,"score_spread":0.2458872034660808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401870958","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045959392,0.0023780414,0.0013456576,0.00012998682,0.9938959,0.00015773796,0.00007404508,0.0006813896,0.0008776553],"genre_scores_gemma":[0.020863276,0.0134125855,0.00030583554,0.00001843464,0.9648696,0.000020809694,0.00030531373,0.00013794376,0.00006618894],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99795365,0.00018028948,0.0006979935,0.00024485463,0.000523441,0.00039978433],"domain_scores_gemma":[0.997293,0.0011495756,0.00016428044,0.0008093992,0.0004858419,0.000097892414],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004203945,0.00038635955,0.00044942703,0.0006293425,0.00042201582,0.0005118727,0.0007182231,0.00118448,0.0000073080987],"category_scores_gemma":[0.0004239066,0.00040169136,0.00008606854,0.0009312287,0.00014007174,0.00018856263,0.00013241176,0.005253537,0.000015227161],"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":[0.000013794953,0.000023454599,0.000009744113,0.00004112264,0.00009875635,0.000016516431,0.00010546968,0.0068105436,0.000049793045,0.00008803262,0.99193203,0.0008107356],"study_design_scores_gemma":[0.00042906392,0.00005619626,0.0000116696065,0.0017120898,0.00009252666,0.000045116973,0.000041714946,0.04782268,0.00011785311,0.00035595955,0.9488547,0.00046045336],"about_ca_topic_score_codex":0.000024609211,"about_ca_topic_score_gemma":0.00020440432,"teacher_disagreement_score":0.043077357,"about_ca_system_score_codex":0.0005648128,"about_ca_system_score_gemma":0.00018663325,"threshold_uncertainty_score":0.9998435},"labels":[],"label_agreement":null},{"id":"W4402509384","doi":"10.1109/jsac.2024.3460061","title":"Quantum-Enhanced DRL Optimization for DoA Estimation and Task Offloading in ISAC Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Excellence Research Chairs, Government of Canada; National Science and Technology Council; Canada Research Chairs; Agence Nationale de la Recherche","keywords":"Computer science; Task (project management); Computer network; Distributed computing","score_opus":0.03278863216583452,"score_gpt":0.31073003409909944,"score_spread":0.27794140193326494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402509384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0394028,0.0014322746,0.9543133,0.0013768518,0.0027656073,0.00032139046,9.370108e-7,0.00013156292,0.00025529365],"genre_scores_gemma":[0.9341619,0.0004401894,0.064998165,0.000050870924,0.00025878553,0.000041346746,0.000011185123,0.000016378786,0.000021199921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985692,0.0002511308,0.0005253061,0.0002274313,0.00016773763,0.00025921984],"domain_scores_gemma":[0.99810773,0.0009465942,0.0001481113,0.0005132981,0.00021542855,0.00006884968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008207656,0.0001367251,0.00019082855,0.00062557816,0.00034860373,0.00070060947,0.0007976737,0.000083814826,5.107149e-7],"category_scores_gemma":[0.00023508174,0.00013466351,0.000036902093,0.0013518091,0.000031759453,0.0006615291,0.00009249026,0.0005406594,0.0000046561177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003396258,0.00034966087,0.00032847826,0.00016927706,0.0000677131,0.000013458173,0.007700938,0.9012108,0.0033146176,0.021968408,0.0037506062,0.06109207],"study_design_scores_gemma":[0.0003042948,0.00006832511,0.00036647654,0.00085249566,0.000007220999,0.00007112206,0.000030062438,0.99550235,0.00015997607,0.0017042682,0.0007883289,0.00014508514],"about_ca_topic_score_codex":0.000023060687,"about_ca_topic_score_gemma":0.000013940756,"teacher_disagreement_score":0.89475906,"about_ca_system_score_codex":0.00026768845,"about_ca_system_score_gemma":0.00018198583,"threshold_uncertainty_score":0.67559934},"labels":[],"label_agreement":null},{"id":"W4402592617","doi":"10.1109/jsac.2024.3423628","title":"Guest Editorial Positioning and Sensing Over Wireless Networks—Part II","year":2024,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Computer network; Telecommunications; Wireless; Wireless network","score_opus":0.008415893710896533,"score_gpt":0.2526477762908094,"score_spread":0.24423188257991288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402592617","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009385713,0.002349635,0.0008749081,0.00016588224,0.9938619,0.00016551182,0.0000782588,0.0007093883,0.0008559233],"genre_scores_gemma":[0.027091956,0.012469106,0.00031666018,0.000019647701,0.95952284,0.000021925129,0.00032414703,0.00013947635,0.00009423373],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99790436,0.000170357,0.0007213858,0.00025354253,0.0005362224,0.00041413374],"domain_scores_gemma":[0.9974218,0.0009678672,0.00017370672,0.0008314288,0.0005047475,0.000100441655],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00042691093,0.00040031486,0.00046469807,0.0006405054,0.00068860495,0.00042761466,0.0007461591,0.0012157036,0.000008042023],"category_scores_gemma":[0.00042577749,0.00041675434,0.00009002481,0.00096121343,0.00014428451,0.000198037,0.00019914728,0.005324192,0.000010691027],"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":[0.000014792375,0.000030038287,0.0000073352567,0.000037194015,0.00010432595,0.00001438058,0.00015129134,0.0069268243,0.00005205603,0.00011535902,0.9917797,0.0007667251],"study_design_scores_gemma":[0.0004466411,0.000080315294,0.000009141916,0.0016941552,0.00009500349,0.00004422645,0.000040275685,0.043819133,0.00012663915,0.0003672946,0.952813,0.00046413942],"about_ca_topic_score_codex":0.000025424986,"about_ca_topic_score_gemma":0.00021243526,"teacher_disagreement_score":0.038966645,"about_ca_system_score_codex":0.00057736406,"about_ca_system_score_gemma":0.00019490415,"threshold_uncertainty_score":0.99982846},"labels":[],"label_agreement":null},{"id":"W4402895031","doi":"10.1109/jsac.2024.3460034","title":"Joint Optimization of User Association, Power Control, and Dynamic Spectrum Sharing for Integrated Aerial-Terrestrial Network","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Joint (building); Association (psychology); Power control; Computer network; Power (physics); Telecommunications","score_opus":0.021693492993062998,"score_gpt":0.2685126723806574,"score_spread":0.2468191793875944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402895031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33618358,0.03609755,0.59765434,0.008810318,0.010474817,0.0046859835,0.00041089658,0.001865126,0.0038173927],"genre_scores_gemma":[0.9900164,0.0045924704,0.004998764,0.000027184105,0.00013765371,0.000048522917,0.00006626242,0.0000585572,0.000054201333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982381,0.0002814475,0.0008934318,0.00014644576,0.00017979351,0.00026080548],"domain_scores_gemma":[0.99765205,0.0010599444,0.0002304264,0.0007429744,0.0002432318,0.000071345676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010571234,0.00017858295,0.0003472334,0.00036248926,0.0001591315,0.00023588924,0.0005893332,0.00016269539,0.000019840241],"category_scores_gemma":[0.00037069546,0.00017992078,0.00008272351,0.0009053865,0.0000364617,0.00023323919,0.000043505344,0.00068339024,0.0000039334914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013587491,0.00012672905,0.0023451687,0.000065715925,0.00062040234,0.0000021226206,0.0011484574,0.9861843,0.0038320345,0.0015984525,0.002854553,0.0010862023],"study_design_scores_gemma":[0.0013112021,0.000086548076,0.0037094124,0.000823462,0.00006210056,0.000036002883,0.000082705104,0.9823731,0.00012690677,0.0008840493,0.010266977,0.0002375251],"about_ca_topic_score_codex":0.00001695968,"about_ca_topic_score_gemma":0.00015376451,"teacher_disagreement_score":0.6538328,"about_ca_system_score_codex":0.0006583292,"about_ca_system_score_gemma":0.00010545285,"threshold_uncertainty_score":0.7336957},"labels":[],"label_agreement":null},{"id":"W4403510731","doi":"10.1109/jsac.2024.3443808","title":"Guest Editorial Advanced Optimization Theory and Algorithms for Next-Generation Wireless Communication Networks","year":2024,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Wireless; Wireless network; Computer network; Distributed computing; Telecommunications","score_opus":0.04179680149769725,"score_gpt":0.33830435638525774,"score_spread":0.2965075548875605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403510731","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000023839582,0.008171448,0.33191884,0.0018923407,0.6562871,0.0012003145,0.00006683633,0.00026762398,0.00017168706],"genre_scores_gemma":[0.004641254,0.08445376,0.061277512,0.00009305354,0.84563947,0.0010913713,0.0023186542,0.00020186283,0.0002830907],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99113077,0.0043019154,0.0015839327,0.000856638,0.0013712919,0.00075542426],"domain_scores_gemma":[0.9760567,0.013963182,0.0010362847,0.0051938924,0.0034453047,0.0003046504],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0060995696,0.0006607311,0.0008233669,0.0010833768,0.0015736809,0.0026201354,0.008035231,0.001439585,0.000004316046],"category_scores_gemma":[0.0027319381,0.00067972817,0.00019876909,0.0022312931,0.00035132552,0.0015546271,0.0013535225,0.006573934,0.000010576344],"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":[0.00014209293,0.0003102278,0.0000017169714,0.000043012635,0.00013996495,0.000002406113,0.0003937971,0.07782505,0.00007550317,0.005674097,0.8971007,0.018291473],"study_design_scores_gemma":[0.0009946716,0.00020110318,0.0000024522385,0.0007660097,0.000050020255,0.000014909029,0.000032360294,0.6348322,0.00002294981,0.0014648262,0.3611299,0.00048855273],"about_ca_topic_score_codex":0.000026311782,"about_ca_topic_score_gemma":0.0002583896,"teacher_disagreement_score":0.5570072,"about_ca_system_score_codex":0.0010190794,"about_ca_system_score_gemma":0.0013478334,"threshold_uncertainty_score":0.99985677},"labels":[],"label_agreement":null},{"id":"W4404179523","doi":"10.1109/jsac.2024.3492699","title":"Resource Allocation for Adaptive Beam Alignment in UAV-Assisted Integrated Sensing and Communication Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Key Industry Innovation Chain of Shaanxi; National Natural Science Foundation of China","keywords":"Computer science; Resource allocation; Resource management (computing); Resource (disambiguation); Computer network; Integrated optics; Distributed computing; Telecommunications","score_opus":0.0220462117012261,"score_gpt":0.2590060062042014,"score_spread":0.23695979450297527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404179523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12948295,0.012351268,0.84641516,0.0051914286,0.00033810583,0.0021606297,0.00005194599,0.00073304813,0.0032754785],"genre_scores_gemma":[0.9727383,0.0040288633,0.022710875,0.000065436914,0.00004690883,0.00011173797,0.00021987408,0.0000479739,0.000029987395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987681,0.00019404198,0.00054071797,0.00016537559,0.000115170646,0.00021662404],"domain_scores_gemma":[0.998336,0.00068942335,0.00008088531,0.0006294913,0.00019616577,0.00006801779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054411805,0.00017264331,0.00018632879,0.000466235,0.00024244624,0.00018798516,0.00034565572,0.00014083528,0.0000034870773],"category_scores_gemma":[0.00005986326,0.00017943428,0.00003756754,0.0012817982,0.000063219224,0.00019545606,0.000034946126,0.0007619977,0.0000022724678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006563167,0.00018872492,0.00016689392,0.0000305205,0.00010687523,0.000002459009,0.0015855994,0.89629763,0.0019002968,0.004012866,0.002987599,0.092654906],"study_design_scores_gemma":[0.00039425705,0.000049136786,0.0020920043,0.0005704211,0.000027689099,0.0000488869,0.00035825712,0.98733634,0.00022425552,0.000521614,0.0081953,0.00018184887],"about_ca_topic_score_codex":0.000049345646,"about_ca_topic_score_gemma":0.0007579899,"teacher_disagreement_score":0.8432554,"about_ca_system_score_codex":0.0005494017,"about_ca_system_score_gemma":0.000065179265,"threshold_uncertainty_score":0.73171175},"labels":[],"label_agreement":null},{"id":"W4407736556","doi":"10.1109/jsac.2025.3543517","title":"Modeling of UV NLoS Communication Channels: From Atmospheric Scattering and Obstacle Reflection Perspectives","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China; Toyota Motor Corporation; National Science Foundation","keywords":"Non-line-of-sight propagation; Computer science; Reflection (computer programming); Obstacle; Scattering; Ray tracing (physics); Atmospheric model; Telecommunications; Optics; Wireless; Physics","score_opus":0.027126714819186357,"score_gpt":0.28487058951752225,"score_spread":0.2577438746983359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407736556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95268524,0.02095924,0.019652361,0.0024891922,0.00015445576,0.0002608953,0.000008920271,0.00044923005,0.0033404964],"genre_scores_gemma":[0.95650035,0.020341463,0.02301809,0.000026634985,0.000013356731,0.00004842904,0.000011168411,0.000026499756,0.000014008048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986561,0.000245878,0.0006033857,0.00015192344,0.00014171525,0.0002010149],"domain_scores_gemma":[0.9972921,0.0005908332,0.000115131734,0.0016240276,0.00033134094,0.000046559842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026257616,0.00018103102,0.00029611302,0.00022432186,0.00031660203,0.000091490416,0.0012246905,0.00016107583,0.000008413406],"category_scores_gemma":[0.0002949783,0.00019846039,0.000049444778,0.0012118567,0.00020285492,0.0002782387,0.00021802726,0.0011479973,0.0000029278876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014789242,0.0011321175,0.006597023,0.00011110638,0.00066090823,0.0000020912482,0.008587845,0.83308077,0.04443471,0.025854364,0.00037448033,0.07901667],"study_design_scores_gemma":[0.0005043906,0.000043544074,0.0034723505,0.00067699986,0.000026919279,0.000009106453,0.0029913636,0.98004615,0.003688226,0.008149431,0.0001785103,0.00021299513],"about_ca_topic_score_codex":0.0001128164,"about_ca_topic_score_gemma":0.00018959759,"teacher_disagreement_score":0.14696537,"about_ca_system_score_codex":0.00035747243,"about_ca_system_score_gemma":0.00005187282,"threshold_uncertainty_score":0.809298},"labels":[],"label_agreement":null},{"id":"W4407736576","doi":"10.1109/jsac.2025.3543528","title":"Synergizing Hyper-Accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Optical Network Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad Carlos III de Madrid","keywords":"Computer science; Power (physics); Computer network; Optoelectronics; Materials science; Physics","score_opus":0.09448779833203037,"score_gpt":0.314197877801718,"score_spread":0.21971007946968762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407736576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81364113,0.0022797433,0.18054046,0.0010970538,0.00051876623,0.00062377955,0.00000775408,0.00054948207,0.0007418178],"genre_scores_gemma":[0.9544031,0.004517574,0.040840622,0.00006538353,0.000024744271,0.00006017254,0.000018420598,0.0000353707,0.000034638088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984174,0.0002635201,0.00061967946,0.00020765727,0.00015293679,0.00033882624],"domain_scores_gemma":[0.99849105,0.00046030624,0.00008472481,0.00062287267,0.00027442683,0.00006664655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040126147,0.00023258849,0.00026658198,0.0006458886,0.00032297795,0.00034194344,0.00055954914,0.00027955993,0.000016150732],"category_scores_gemma":[0.00033775772,0.00024005202,0.00003125006,0.001356643,0.00009791034,0.00042283544,0.000069188754,0.0012569106,0.000003834525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001949504,0.00017717043,0.0029031606,0.000007684341,0.000042671927,0.0000065303366,0.00013161301,0.9799046,0.013393287,0.00030634945,0.00022365029,0.0028837794],"study_design_scores_gemma":[0.0009287819,0.000047806614,0.0058547575,0.00021945643,0.000015517597,0.000024930288,0.00009721294,0.98586434,0.006519298,0.00010292404,0.000089199435,0.00023575613],"about_ca_topic_score_codex":0.000013379072,"about_ca_topic_score_gemma":0.00023096793,"teacher_disagreement_score":0.14076193,"about_ca_system_score_codex":0.00041323982,"about_ca_system_score_gemma":0.00009131009,"threshold_uncertainty_score":0.9789037},"labels":[],"label_agreement":null},{"id":"W4407736613","doi":"10.1109/jsac.2025.3543548","title":"Minimizing Fiber’s Nonlinear Interference Noise by Designing Launched Signal PSD","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Fiber Optic Sensors","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":"Huawei Technologies (Canada); University of Alberta","funders":"","keywords":"Computer science; Launched; Interference (communication); Phase noise; Telecommunications; Noise (video); Nonlinear system; SIGNAL (programming language); Electronic engineering; Electrical engineering; Physics; Artificial intelligence; Engineering","score_opus":0.023867319098894665,"score_gpt":0.28309469559552103,"score_spread":0.25922737649662636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407736613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6423295,0.0071153645,0.30208814,0.0037790588,0.0014790496,0.0011981684,0.00010253357,0.0015286956,0.040379457],"genre_scores_gemma":[0.9179698,0.0008656372,0.08043452,0.0001546529,0.000056408437,0.000031704465,0.000025146253,0.000050935865,0.00041117772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847835,0.00019758753,0.0006088924,0.00017305062,0.00017044765,0.00037168455],"domain_scores_gemma":[0.9977098,0.0010341065,0.000111476635,0.0007953271,0.0002361953,0.00011307734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002460573,0.00024019027,0.00028783368,0.0004179895,0.0002490986,0.00009569111,0.001035072,0.00013621351,0.000062909625],"category_scores_gemma":[0.0002422752,0.0002590606,0.000065452135,0.0011171498,0.00008087484,0.00020260688,0.00006772362,0.0015589402,0.000046023244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027551383,0.0011082161,0.0024961634,0.000105901185,0.0007163223,0.000054990996,0.0038059126,0.45224532,0.43402654,0.0004996313,0.036495466,0.06817004],"study_design_scores_gemma":[0.0040120063,0.00030496545,0.0025137346,0.0035370598,0.00018122258,0.00025429184,0.0011817297,0.81967807,0.1271634,0.0017285704,0.037769973,0.0016749793],"about_ca_topic_score_codex":0.0000066618622,"about_ca_topic_score_gemma":0.00003217839,"teacher_disagreement_score":0.36743274,"about_ca_system_score_codex":0.00041937229,"about_ca_system_score_gemma":0.00011223382,"threshold_uncertainty_score":0.9999862},"labels":[],"label_agreement":null},{"id":"W4407737096","doi":"10.1109/jsac.2025.3543495","title":"Soft Demapping of Spherical Codes From Cartesian Powers of PAM Constellations","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Huawei Technologies","keywords":"Computer science; Constellation; Telecommunications; Computer network; Theoretical computer science; Physics","score_opus":0.020723219662014007,"score_gpt":0.29194871431895997,"score_spread":0.27122549465694595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407737096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84394026,0.0018871453,0.12439407,0.00050627557,0.0003528317,0.00043208394,0.00007716961,0.00034347762,0.028066674],"genre_scores_gemma":[0.9763777,0.00034675252,0.023178697,0.000026464659,0.000011690222,0.0000063913444,0.00001641956,0.000013914034,0.000021972768],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876875,0.00015373003,0.0007180801,0.0000755966,0.00015293209,0.00013090699],"domain_scores_gemma":[0.997829,0.001043097,0.00017428312,0.0006302131,0.00027790424,0.000045486668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021772474,0.00011480583,0.0002974799,0.00033887045,0.00009429505,0.000017755978,0.0005114839,0.00009788137,0.00004065062],"category_scores_gemma":[0.00026252723,0.00012147833,0.00007364202,0.0009835599,0.00011555679,0.000098415905,0.00003177989,0.00047902385,0.0000019171725],"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":[0.00018225427,0.0015293604,0.1445103,0.0002696593,0.0017296994,0.000008385788,0.0044297576,0.33833617,0.38666663,0.058081638,0.007259349,0.05699681],"study_design_scores_gemma":[0.0031102113,0.00037407366,0.105916634,0.005326148,0.00040179864,0.00004779713,0.0014138855,0.48716888,0.31067097,0.06820615,0.016129449,0.0012340064],"about_ca_topic_score_codex":0.00004438392,"about_ca_topic_score_gemma":0.00009434824,"teacher_disagreement_score":0.14883272,"about_ca_system_score_codex":0.00012256678,"about_ca_system_score_gemma":0.00011025656,"threshold_uncertainty_score":0.49537426},"labels":[],"label_agreement":null},{"id":"W4407830027","doi":"10.1109/jsac.2025.3543522","title":"On Precoding for Optical Wireless MISO Broadcasting—An Information Theoretic Perspective","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; McMaster University","funders":"","keywords":"Precoding; Computer science; Perspective (graphical); Broadcasting (networking); Wireless; Computer network; Telecommunications; Zero-forcing precoding; MIMO; Channel (broadcasting); Artificial intelligence","score_opus":0.0215221183229253,"score_gpt":0.3147222962521163,"score_spread":0.293200177929191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407830027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47672132,0.0014200639,0.3499477,0.0044091013,0.0018294059,0.0033226854,0.00010315011,0.0012166302,0.16102996],"genre_scores_gemma":[0.99205595,0.00045963255,0.006992948,0.0001464248,0.000036029654,0.00020981207,0.00003027661,0.000027958355,0.000040961982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852467,0.00021528361,0.0006689562,0.00012381193,0.00018280816,0.00028445153],"domain_scores_gemma":[0.99592316,0.0018651311,0.00015964026,0.001346717,0.00060857757,0.000096752636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005268363,0.00020026033,0.00025719113,0.0005499874,0.00043209357,0.00015266269,0.0012123603,0.00012313548,0.0000119839815],"category_scores_gemma":[0.00067381153,0.00020776624,0.00007361754,0.0008320892,0.00009114017,0.00048324614,0.000054610584,0.0010848276,0.000014491972],"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":[0.0003206253,0.0006003614,0.00022149087,0.00009874437,0.00023019481,0.0000011457016,0.0067369533,0.19838743,0.0034140928,0.75060654,0.0015112226,0.0378712],"study_design_scores_gemma":[0.0031233423,0.00042020655,0.0018681668,0.0017818074,0.000071753755,0.000095227966,0.0042686188,0.91811174,0.0059534344,0.051153254,0.01241777,0.000734685],"about_ca_topic_score_codex":0.000008287019,"about_ca_topic_score_gemma":0.0000779514,"teacher_disagreement_score":0.7197243,"about_ca_system_score_codex":0.0010085481,"about_ca_system_score_gemma":0.00015212441,"threshold_uncertainty_score":0.8472461},"labels":[],"label_agreement":null},{"id":"W4409474257","doi":"10.1109/jsac.2025.3560012","title":"Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"National Key Research and Development Program of China; Japan Society for the Promotion of Science","keywords":"Computer science; Architecture; Graph; Computer network; Computer security; Distributed computing; Theoretical computer science","score_opus":0.04765540723131068,"score_gpt":0.2994238682421356,"score_spread":0.25176846101082495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409474257","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0364553,0.0013862961,0.91848516,0.04127765,0.00052167074,0.000619595,0.0000075760677,0.0006133655,0.0006333987],"genre_scores_gemma":[0.80400497,0.0017269717,0.19361325,0.00038415406,0.00006501367,0.0000937616,0.000067787056,0.000019986428,0.000024085215],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976424,0.00064473314,0.00054509426,0.00039565252,0.00027254314,0.0004995787],"domain_scores_gemma":[0.99400896,0.0008818161,0.00035193318,0.004179784,0.00049252284,0.00008497031],"candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.00068843947,0.0002548059,0.00030579642,0.00065073924,0.0014430826,0.0008697136,0.013694422,0.00019538341,0.0000027882852],"category_scores_gemma":[0.0035650514,0.00022079227,0.00007433048,0.0029566723,0.000116533294,0.00054620265,0.0035337259,0.0018792425,0.0000015018788],"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":[0.0012651025,0.003502342,0.039327733,0.00016267478,0.0017696394,0.000098435165,0.003164566,0.050283276,0.036193963,0.07265938,0.47531915,0.31625372],"study_design_scores_gemma":[0.002195271,0.000298708,0.0010276235,0.00068874,0.000046325637,0.00012415047,0.000044023906,0.7716966,0.006625678,0.17927432,0.037475172,0.0005033524],"about_ca_topic_score_codex":0.000019119923,"about_ca_topic_score_gemma":0.0004531345,"teacher_disagreement_score":0.7675497,"about_ca_system_score_codex":0.00027784833,"about_ca_system_score_gemma":0.00033754008,"threshold_uncertainty_score":0.9998569},"labels":[],"label_agreement":null},{"id":"W4409474276","doi":"10.1109/jsac.2025.3560359","title":"Information Compression in the AI Era: Recent Advances and Future Challenges","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Data compression; Data science; Telecommunications; Artificial intelligence","score_opus":0.024262840188963703,"score_gpt":0.31032110657214346,"score_spread":0.28605826638317977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409474276","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029630043,0.10150847,0.114162184,0.72308856,0.002919029,0.0017800388,0.000010594915,0.00032336803,0.026577683],"genre_scores_gemma":[0.7976125,0.180038,0.018853705,0.0032560697,0.00014526039,0.0000710831,0.000009032802,0.0000060764523,0.000008291641],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980631,0.0008603431,0.00047650217,0.00013241496,0.00026712505,0.00020050086],"domain_scores_gemma":[0.9975056,0.0008090824,0.00017309953,0.001126063,0.00034215927,0.0000439771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008974145,0.00013476994,0.00017478215,0.0004143624,0.00038214002,0.00026571512,0.002170646,0.00008079371,0.0000031546888],"category_scores_gemma":[0.0001519801,0.000096750024,0.000028064533,0.0014192458,0.0000711464,0.0010644216,0.00027673153,0.0012096384,0.0000028642055],"study_design_candidate":"design_other","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":[0.000017451528,0.00034623733,0.00094378664,0.000018595007,0.000010000382,0.0000018103724,0.0046129585,0.00094516366,0.000013972578,0.022603255,0.00066745834,0.9698193],"study_design_scores_gemma":[0.0013499385,0.00020990004,0.2350501,0.00040196182,0.000009901974,0.00016075406,0.0016053518,0.089339316,0.00007393968,0.05514835,0.616339,0.00031144105],"about_ca_topic_score_codex":0.000008121903,"about_ca_topic_score_gemma":0.00028229126,"teacher_disagreement_score":0.9695079,"about_ca_system_score_codex":0.00015480585,"about_ca_system_score_gemma":0.00016664132,"threshold_uncertainty_score":0.52553445},"labels":[],"label_agreement":null},{"id":"W4410428413","doi":"10.1109/jsac.2025.3547164","title":"Guest Editorial: Next-Generation Optical Communications and Networking","year":2025,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Infineon Technologies (Canada)","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission","keywords":"Computer science; Telecommunications; Optical communication; Computer network; Optoelectronics","score_opus":0.03684152091477939,"score_gpt":0.2996723016868771,"score_spread":0.2628307807720977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410428413","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006120287,0.012514549,0.0018704316,0.0010133913,0.9804277,0.00039951992,0.000052452182,0.00072931714,0.0029314356],"genre_scores_gemma":[0.0039520264,0.13957208,0.022796338,0.000030830943,0.83283955,0.00015249477,0.0004876188,0.00010480787,0.00006427141],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99709445,0.00033948556,0.0010796314,0.00033345268,0.00058393076,0.00056907616],"domain_scores_gemma":[0.9906865,0.005067905,0.00024890382,0.0030640976,0.0007720088,0.00016059543],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00062517123,0.0005137322,0.0006767409,0.0006233406,0.000672725,0.0004353441,0.0029949327,0.0015343908,0.0000024638232],"category_scores_gemma":[0.0014946004,0.0005543563,0.00009781514,0.001363286,0.00042369534,0.0003491457,0.0005511691,0.00793094,0.000010678025],"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":[0.000013332307,0.00011269909,0.00001311284,0.000025961428,0.00010821484,0.000003422072,0.00004012525,0.0027672912,0.0002423687,0.0005215875,0.98617125,0.009980614],"study_design_scores_gemma":[0.0004380594,0.0000867538,0.0000070646315,0.0008206428,0.000088984365,0.000010605637,0.000026888369,0.03994056,0.000028311637,0.00096556207,0.9571225,0.0004640537],"about_ca_topic_score_codex":0.000008387304,"about_ca_topic_score_gemma":0.00045325002,"teacher_disagreement_score":0.14758818,"about_ca_system_score_codex":0.00079560204,"about_ca_system_score_gemma":0.00031646458,"threshold_uncertainty_score":0.9997618},"labels":[],"label_agreement":null},{"id":"W4410809435","doi":"10.1109/jsac.2025.3574616","title":"Digital Twin-Driven MADRL Approaches for Communication-Computing-Control Co-Optimization","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Computer science; Control (management); Distributed computing; Computer network; Artificial intelligence","score_opus":0.032025855659254705,"score_gpt":0.2698867797308226,"score_spread":0.2378609240715679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410809435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007178506,0.0005308452,0.7634619,0.0028940365,0.00040441024,0.0011425473,0.0002178208,0.0005527667,0.22361717],"genre_scores_gemma":[0.98869735,0.00024261077,0.01030846,0.00014378915,0.00004957413,0.00010313175,0.00023460588,0.000041074167,0.00017938096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985081,0.00011471209,0.0007655076,0.00013067544,0.00018066428,0.00030036725],"domain_scores_gemma":[0.99743426,0.0010458132,0.00013858556,0.0009998495,0.00029267647,0.000088835855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028721706,0.00022006333,0.00026774415,0.00052611483,0.00039800894,0.0004430082,0.0012889261,0.00017875075,0.000012654543],"category_scores_gemma":[0.00018096362,0.00024063293,0.00010459349,0.00089898054,0.000107250955,0.0007036177,0.00003033489,0.000925516,0.00001465599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002763975,0.00021032574,0.0013921327,0.000029321913,0.00013506485,3.2167065e-7,0.00025476824,0.97762024,0.000019981579,0.0039299447,0.004519299,0.0118609425],"study_design_scores_gemma":[0.0019606438,0.000047822123,0.0014457834,0.00038108582,0.000037647365,0.000026769594,0.00029900458,0.9792575,0.00021237826,0.0012216902,0.014794655,0.00031502292],"about_ca_topic_score_codex":0.0000010733268,"about_ca_topic_score_gemma":0.000009315693,"teacher_disagreement_score":0.98151886,"about_ca_system_score_codex":0.00035087453,"about_ca_system_score_gemma":0.00013329009,"threshold_uncertainty_score":0.98127264},"labels":[],"label_agreement":null},{"id":"W4414229911","doi":"10.1109/jsac.2025.3610499","title":"Joint Airborne Wireless Positioning and Communication Services With Pattern Division Multiple Access (PDMA)","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Hybrid positioning system; Provisioning; Joint (building); Key (lock); Wireless; Throughput; Division (mathematics); Component (thermodynamics); Wireless network","score_opus":0.02554156675584694,"score_gpt":0.28040564200895535,"score_spread":0.2548640752531084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414229911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698274,0.008358305,0.012611507,0.0026864635,0.00020562457,0.0006772665,0.000021319762,0.00043909196,0.005173007],"genre_scores_gemma":[0.988007,0.009886425,0.0016141641,0.00022804632,0.00002080011,0.000098227945,0.000077355064,0.00004629371,0.000021654289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793166,0.0006022882,0.00074283424,0.00018898882,0.00025505337,0.00027916746],"domain_scores_gemma":[0.9960748,0.00093642535,0.00024194883,0.0021792767,0.00045913772,0.00010840015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000542307,0.0002611047,0.00034515673,0.0006409796,0.0006651051,0.00048569808,0.0019084236,0.00013562941,0.000008268658],"category_scores_gemma":[0.0000459588,0.00024883242,0.000043240034,0.001280034,0.0001209369,0.00062138156,0.00030509918,0.0011946595,0.000009013662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002481336,0.0017437836,0.63487864,0.0009589794,0.0011902299,0.000023003762,0.01115841,0.06354026,0.023524456,0.0027300552,0.0011817951,0.25882226],"study_design_scores_gemma":[0.0029400685,0.00012049655,0.7033733,0.0074882265,0.00007874076,0.00017077559,0.0011098682,0.2728216,0.0051026503,0.0007258897,0.0052938075,0.0007745366],"about_ca_topic_score_codex":0.00015735405,"about_ca_topic_score_gemma":0.0016053196,"teacher_disagreement_score":0.25804773,"about_ca_system_score_codex":0.00035274675,"about_ca_system_score_gemma":0.000074022995,"threshold_uncertainty_score":0.99999636},"labels":[],"label_agreement":null},{"id":"W4414229913","doi":"10.1109/jsac.2025.3610487","title":"Polarforming Antenna Enhanced Sensing and Communication: Modeling and Optimization","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Adelaide Research and Innovation, University of Adelaide; Guangdong Provincial Key Laboratory of Construction Foundation; National Natural Science Foundation of China","keywords":"Transceiver; Antenna diversity; Base station; Wireless; Channel (broadcasting); Exploit; Antenna (radio); Polarization (electrochemistry); Mobile telephony","score_opus":0.01605801447063482,"score_gpt":0.2523390312041879,"score_spread":0.23628101673355306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414229913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03718695,0.0033081889,0.95661205,0.00073990953,0.00008023259,0.00015472459,0.0000017339977,0.00012391263,0.001792323],"genre_scores_gemma":[0.90964323,0.017005205,0.07313759,0.00013744955,0.000015015275,0.000004286743,0.000013845788,0.000019188026,0.000024164556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908054,0.00015634634,0.0004028784,0.000103969665,0.00008769391,0.00016855754],"domain_scores_gemma":[0.99892575,0.00022847176,0.000087050124,0.00046848773,0.0002324662,0.00005780371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029885568,0.00013692492,0.00017599676,0.0003924946,0.00045038975,0.00013962168,0.00024910597,0.00009441884,0.0000029090904],"category_scores_gemma":[0.00014970863,0.00014691958,0.000019170177,0.0006664615,0.00006160458,0.00028768016,0.000052793464,0.000584556,6.8139116e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002182533,0.000034890167,0.00020710217,0.000019833955,0.000043675038,0.0000012289582,0.0006884162,0.98572475,0.0043406133,0.00064204505,0.000045631394,0.008230011],"study_design_scores_gemma":[0.000394451,0.000014105395,0.00020314986,0.00046469836,0.000019415998,0.00004977923,0.00024648904,0.9977416,0.00020293883,0.0004986004,0.00003479629,0.00012996758],"about_ca_topic_score_codex":0.000013834764,"about_ca_topic_score_gemma":0.00006779116,"teacher_disagreement_score":0.8834744,"about_ca_system_score_codex":0.000117228825,"about_ca_system_score_gemma":0.000045017103,"threshold_uncertainty_score":0.5991207},"labels":[],"label_agreement":null},{"id":"W4414229954","doi":"10.1109/jsac.2025.3610448","title":"A Predictive Integrated Sensing, Communication, and Computation Over-the-Air Approach for IoV: Optimization and Trade-Off Analysis","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Science and Technology Innovation Foundation of Harbin; National Natural Science Foundation of China","keywords":"Beamforming; Telecommunications link; Computation; Transmitter power output; Maximization; Optimization problem; Kalman filter; Reliability (semiconductor); Multiplexing","score_opus":0.014914330730351227,"score_gpt":0.27679198130179933,"score_spread":0.2618776505714481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414229954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028770175,0.0010468872,0.9915301,0.0036219887,0.000074350675,0.00040224142,0.000021149743,0.00008738881,0.0003388458],"genre_scores_gemma":[0.7928666,0.0016922192,0.20472316,0.00049146527,0.000018800998,0.000032325777,0.00013857793,0.000009185028,0.000027681164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823123,0.00066911307,0.00049113005,0.00025328083,0.00016748688,0.00018778429],"domain_scores_gemma":[0.99731094,0.0010130167,0.00029466642,0.0008180852,0.0004864338,0.000076839315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000646568,0.00016423478,0.00026073898,0.0005963699,0.0010038936,0.00038764987,0.0007511752,0.000109195404,7.4745986e-7],"category_scores_gemma":[0.00017119675,0.00013884222,0.000071965034,0.0036140045,0.00017205924,0.0002948831,0.00012306948,0.0006253019,1.0773832e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059765312,0.0003021585,0.0007709763,0.0000080522095,0.0005766239,6.0424406e-7,0.0009064197,0.93977284,0.000017992166,0.00485729,0.0021022777,0.050625008],"study_design_scores_gemma":[0.00066429644,0.00007339709,0.010107617,0.000052649782,0.00014526668,0.000032653377,0.00020421724,0.9859862,0.00001907621,0.0012510478,0.00134183,0.00012175155],"about_ca_topic_score_codex":0.000040024304,"about_ca_topic_score_gemma":0.0000951181,"teacher_disagreement_score":0.78998953,"about_ca_system_score_codex":0.00014905869,"about_ca_system_score_gemma":0.00012649558,"threshold_uncertainty_score":0.77212393},"labels":[],"label_agreement":null},{"id":"W4414431999","doi":"10.1109/jsac.2025.3613283","title":"Cooperative ISAC for Joint Localization and Velocity Estimation in Cell-Free MIMO Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overhead (engineering); Multiplexing; Encoder; ENCODE; MIMO; Joint (building); Scheme (mathematics); Encoding (memory)","score_opus":0.019902590087579795,"score_gpt":0.26556317377423894,"score_spread":0.24566058368665913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414431999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05214405,0.0022123053,0.9406718,0.0010148777,0.00043302085,0.00084645493,0.0000340262,0.0003021856,0.0023412658],"genre_scores_gemma":[0.9937616,0.0013708739,0.004537771,0.000068632515,0.000012123136,0.00016108624,0.000031460553,0.000016705202,0.000039720107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902666,0.00011635795,0.00048192203,0.00010759291,0.0000942214,0.000173247],"domain_scores_gemma":[0.99885565,0.00026626518,0.00007852659,0.00048404827,0.000286008,0.000029482817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002958261,0.00013388315,0.0002096339,0.0005689327,0.00023017454,0.00010297641,0.00039302598,0.00014726988,0.000002250564],"category_scores_gemma":[0.00047678335,0.0001356596,0.000024037538,0.0010125071,0.000062887644,0.00015939605,0.000043129072,0.00044353554,0.0000015265575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026734071,0.00014768973,0.0013570521,0.000121871344,0.000035551413,0.0000013438039,0.00063131383,0.97597724,0.00079590763,0.01095545,0.0057432144,0.0042066067],"study_design_scores_gemma":[0.0010075115,0.000044131506,0.001882334,0.00034834392,0.000013291858,0.0000074319705,0.000295945,0.9873523,0.0053274226,0.0021779959,0.0014029217,0.00014033435],"about_ca_topic_score_codex":0.000026398347,"about_ca_topic_score_gemma":0.00022474189,"teacher_disagreement_score":0.94161755,"about_ca_system_score_codex":0.00033608446,"about_ca_system_score_gemma":0.000081244965,"threshold_uncertainty_score":0.55320376},"labels":[],"label_agreement":null},{"id":"W4415594190","doi":"10.1109/jsac.2025.3625163","title":"Electromagnetically Reconfigurable Fluid Antenna System for Wireless Communications: Design, Modeling, Algorithm, Fabrication, and Experiment","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Reconfigurability; Beamforming; Antenna (radio); Channel (broadcasting); Wireless; Reconfigurable antenna; Antenna array; Anechoic chamber; MIMO","score_opus":0.03409388608939518,"score_gpt":0.2840699327724709,"score_spread":0.24997604668307571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415594190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020679594,0.033651978,0.9575611,0.0036478864,0.00034222752,0.0014247886,0.00004768359,0.00020558237,0.0010508001],"genre_scores_gemma":[0.8480072,0.06373015,0.08680382,0.000181986,0.00010278825,0.0006452857,0.00006890053,0.00009492061,0.00036494582],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947032,0.0013462937,0.002166298,0.000558271,0.00036032684,0.00086561363],"domain_scores_gemma":[0.99180603,0.0017427524,0.00043991162,0.0034337782,0.0022609013,0.00031662028],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0016788344,0.00064328616,0.0010145949,0.0013322787,0.0016774534,0.0005726268,0.0030505806,0.00040734376,0.000019013303],"category_scores_gemma":[0.00039198855,0.00070240226,0.00026123176,0.0025703737,0.00030713272,0.00035968324,0.00015553729,0.0016860835,0.000014012995],"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":[0.0010031139,0.005551511,0.0004019796,0.0010173679,0.005543316,0.000023511217,0.0048331367,0.02244201,0.7809403,0.050210446,0.005608324,0.12242497],"study_design_scores_gemma":[0.0015965665,0.00035697073,0.000065415305,0.0021181307,0.00044346348,0.00008246413,0.0011139016,0.9891566,0.0023685293,0.0011981031,0.0009027661,0.00059711124],"about_ca_topic_score_codex":0.00009006541,"about_ca_topic_score_gemma":0.00004889817,"teacher_disagreement_score":0.96671456,"about_ca_system_score_codex":0.0012501789,"about_ca_system_score_gemma":0.00070181594,"threshold_uncertainty_score":0.9996222},"labels":[],"label_agreement":null},{"id":"W4416650094","doi":"10.1109/jsac.2025.3637022","title":"UAV-Assisted Physical Layer Security for Space–Air–Ground Integrated Networks (SAGIN) With Multiple Eavesdroppers","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Physical layer; Artificial noise; Resource allocation; Benchmark (surveying); Secrecy; Optimization problem; Genetic algorithm; Resource management (computing); Power control","score_opus":0.014149483625163954,"score_gpt":0.2650183339333964,"score_spread":0.25086885030823247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416650094","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47756818,0.0006194352,0.5116351,0.0027758486,0.0003417181,0.0013291317,0.000061499995,0.0005312959,0.0051377546],"genre_scores_gemma":[0.9887578,0.00038311974,0.010202199,0.00010677872,0.00007000087,0.00021420921,0.00012888238,0.00004080259,0.00009620892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989555,0.000113105954,0.0003463225,0.0001697674,0.00012391468,0.00029138578],"domain_scores_gemma":[0.99807805,0.0005350683,0.00009708894,0.0007688399,0.00043151889,0.00008943126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016649943,0.00021638034,0.00025812868,0.00030274267,0.00038105843,0.00010987086,0.0005684097,0.000121795914,0.0000053157582],"category_scores_gemma":[0.000072204224,0.00019306164,0.00007238867,0.0016706032,0.000080629856,0.0001691251,0.000028065508,0.0009042382,0.0000034116529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019249709,0.0009328616,0.0035029158,0.000029999035,0.0003179376,0.000001984042,0.0007851585,0.9749211,0.0016735413,0.0044239513,0.008097423,0.005120596],"study_design_scores_gemma":[0.0012886544,0.000076849225,0.011962729,0.00021304129,0.00006419442,0.000016521186,0.00021475772,0.97591,0.00046613129,0.00045936348,0.009086906,0.00024083577],"about_ca_topic_score_codex":0.0000436948,"about_ca_topic_score_gemma":0.0008011773,"teacher_disagreement_score":0.51118964,"about_ca_system_score_codex":0.00037311646,"about_ca_system_score_gemma":0.00012535392,"threshold_uncertainty_score":0.7872825},"labels":[],"label_agreement":null},{"id":"W4416650133","doi":"10.1109/jsac.2025.3636844","title":"Toward Double-Layer Data Privacy in Communication-Efficient Hierarchical Federated Learning: A Client Sampling Approach","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China; Science and Technology Foundation of Shenzhen City","keywords":"Differential privacy; Server; Overhead (engineering); Sampling (signal processing); Cloud computing; Information privacy; Noise (video)","score_opus":0.19043254256584813,"score_gpt":0.3814537212523984,"score_spread":0.19102117868655027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416650133","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07766413,0.010314182,0.71162444,0.18395025,0.0013601689,0.0030130283,0.00013004412,0.0010484869,0.010895247],"genre_scores_gemma":[0.77057725,0.008190257,0.22015192,0.00038439062,0.0000461539,0.00013593578,0.00039329877,0.000054070548,0.00006672116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98751265,0.0046605906,0.0032219281,0.0017718801,0.0012413231,0.0015916417],"domain_scores_gemma":[0.948413,0.004282334,0.0013199652,0.04447673,0.0011686971,0.0003392519],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.006612488,0.00085232256,0.0011636725,0.00304597,0.0026297958,0.002435718,0.14032856,0.0008044715,0.00002760536],"category_scores_gemma":[0.03528478,0.0009093161,0.00017279902,0.011767817,0.0010121966,0.0015527732,0.15368482,0.014077407,0.000040477673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003585987,0.058442943,0.04471685,0.00073808775,0.0025188308,0.00024910716,0.0169127,0.32652,0.0028361282,0.11199819,0.15217444,0.27930674],"study_design_scores_gemma":[0.0037906005,0.0001615121,0.0061331214,0.0021455486,0.00006093091,0.0001796345,0.00051131786,0.9592149,0.00019426017,0.016172564,0.010642382,0.0007931759],"about_ca_topic_score_codex":0.00028661673,"about_ca_topic_score_gemma":0.0003395104,"teacher_disagreement_score":0.6929131,"about_ca_system_score_codex":0.0021184525,"about_ca_system_score_gemma":0.0029280512,"threshold_uncertainty_score":0.99933577},"labels":[],"label_agreement":null},{"id":"W4416749880","doi":"10.1109/jsac.2025.3638297","title":"Covert Communication Toward an Aerial Warden in NOMA-Based UAV-MEC Systems","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Mobile edge computing; Terminal (telecommunication); Wireless; Scheme (mathematics); Block (permutation group theory); Resource allocation; Edge computing; Coordinate descent; Mobile device","score_opus":0.024269729423252586,"score_gpt":0.2879589024647161,"score_spread":0.26368917304146355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416749880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60256654,0.03333664,0.25761127,0.026741123,0.007219791,0.010835971,0.00055880717,0.0013974605,0.059732396],"genre_scores_gemma":[0.98155797,0.009205077,0.007832792,0.00019728595,0.00015810058,0.00044020015,0.0003788112,0.00009422385,0.00013557254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99448967,0.0018076303,0.0021248092,0.0004472373,0.00045896543,0.0006716818],"domain_scores_gemma":[0.99330884,0.0010343868,0.00055137684,0.003900261,0.00095778547,0.00024735654],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0014771995,0.00055378646,0.00076870585,0.0018106976,0.0008089059,0.00071435666,0.003295007,0.00058027083,0.00006493178],"category_scores_gemma":[0.0003284389,0.0006574031,0.000152334,0.0042235544,0.00020573974,0.00065135286,0.00017339642,0.00272173,0.000047243724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000353313,0.0020100358,0.0030170965,0.0001083506,0.00015257763,0.000004793024,0.0011764927,0.97820747,0.0011876072,0.008462903,0.0017131494,0.0036062042],"study_design_scores_gemma":[0.0048900335,0.00019557365,0.0113030635,0.0020328464,0.00013706174,0.000031236017,0.000558996,0.9666078,0.0004976958,0.0007497051,0.012281991,0.00071396306],"about_ca_topic_score_codex":0.0008175979,"about_ca_topic_score_gemma":0.0020832082,"teacher_disagreement_score":0.3789914,"about_ca_system_score_codex":0.00228568,"about_ca_system_score_gemma":0.0011400176,"threshold_uncertainty_score":0.9995877},"labels":[],"label_agreement":null},{"id":"W4416922352","doi":"10.1109/jsac.2025.3639454","title":"Efficient Covert Communication With Ambient OFDM WiFi Backscatter","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Backscatter (email); Covert; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Covert channel; Throughput","score_opus":0.012259489735952941,"score_gpt":0.2662666177299913,"score_spread":0.25400712799403835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416922352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76008594,0.010100268,0.048138667,0.02181877,0.00057599426,0.0022258724,0.000059436003,0.0025623054,0.15443277],"genre_scores_gemma":[0.98306763,0.004106284,0.011855331,0.0005496057,0.000017309787,0.00016258132,0.000042312786,0.000050193637,0.00014874898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978699,0.0005318994,0.00073763856,0.00018154508,0.00032795264,0.00035106175],"domain_scores_gemma":[0.99508667,0.0006475234,0.00017505708,0.0034628743,0.00052276166,0.00010511635],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005757499,0.0002842112,0.0003408687,0.00094914105,0.00046685027,0.00017418142,0.0025748848,0.00016122877,0.00002848115],"category_scores_gemma":[0.00007561341,0.00027436428,0.000075258635,0.0023123396,0.00022250848,0.00014198794,0.00019445944,0.001840402,0.000036169607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007907974,0.009069724,0.02337623,0.00037442852,0.0018623582,0.000035090787,0.010371794,0.51126224,0.041926857,0.15917246,0.15132633,0.09043172],"study_design_scores_gemma":[0.0067391098,0.0005649229,0.09356974,0.007650213,0.0002835852,0.00042333663,0.0010287979,0.56862044,0.043197654,0.0071938913,0.26794645,0.0027818533],"about_ca_topic_score_codex":0.00002683801,"about_ca_topic_score_gemma":0.0002857378,"teacher_disagreement_score":0.22298172,"about_ca_system_score_codex":0.0006986185,"about_ca_system_score_gemma":0.00016368844,"threshold_uncertainty_score":0.99997085},"labels":[],"label_agreement":null},{"id":"W4416922355","doi":"10.1109/jsac.2025.3639463","title":"Satellite–Ground Covert Communications Against an Aerial Warden","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Covert; Jamming; Satellite; Communications satellite; Transmitter power output; Transmission (telecommunications); Power (physics); Covert channel","score_opus":0.052468337546602836,"score_gpt":0.3271910401438486,"score_spread":0.27472270259724574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416922355","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25042716,0.2841423,0.0060058823,0.03517324,0.016227687,0.008102645,0.00075863453,0.002684499,0.39647797],"genre_scores_gemma":[0.77076685,0.22077267,0.005865539,0.0007816779,0.00036221693,0.00022142737,0.0004053904,0.00018029363,0.0006439518],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9872976,0.0058567277,0.003931072,0.0007190545,0.00089413003,0.0013014462],"domain_scores_gemma":[0.97431916,0.003992198,0.0010334671,0.018010434,0.0020091054,0.0006356139],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0029280337,0.0010914046,0.0014336277,0.0024591556,0.002449316,0.0014992378,0.015336154,0.0009456055,0.000106551786],"category_scores_gemma":[0.0010078935,0.0012960853,0.00042991326,0.00602056,0.00090783666,0.0013005529,0.0012735225,0.0063814563,0.0003946918],"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":[0.0028724673,0.024200885,0.031484883,0.0011123382,0.008237842,0.00012410246,0.04788473,0.053805757,0.0633252,0.10712986,0.01890537,0.6409166],"study_design_scores_gemma":[0.005603054,0.0004229532,0.04051739,0.0053077117,0.00041340696,0.0002678262,0.0028134456,0.074980065,0.001015309,0.0042553577,0.8620279,0.0023755813],"about_ca_topic_score_codex":0.00021131209,"about_ca_topic_score_gemma":0.0020950604,"teacher_disagreement_score":0.84312254,"about_ca_system_score_codex":0.003294184,"about_ca_system_score_gemma":0.0016177028,"threshold_uncertainty_score":0.9995373},"labels":[],"label_agreement":null},{"id":"W4417003545","doi":"10.1109/jsac.2025.3640601","title":"Can Knowledge Improve Security? A Coding-Enhanced Jamming Approach for Semantic Communication","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Decoding methods; Encryption; Jamming; Channel (broadcasting); Leverage (statistics); Overhead (engineering); Channel state information; Key (lock)","score_opus":0.03879565846859038,"score_gpt":0.31721026805622987,"score_spread":0.27841460958763947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417003545","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017075514,0.0030377286,0.9518238,0.014702705,0.0013956159,0.0031938616,0.00006771804,0.00024404583,0.008459042],"genre_scores_gemma":[0.9515809,0.0027897973,0.043550197,0.00038660006,0.00018182697,0.00071115216,0.00014001023,0.00006676415,0.0005927766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9925459,0.0024715757,0.0024349508,0.0009812173,0.0005848322,0.0009815422],"domain_scores_gemma":[0.9861094,0.0030492381,0.0014555217,0.0054769665,0.0035946006,0.00031431045],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0027601884,0.0006919892,0.0009249425,0.0019306957,0.0028125637,0.0012580741,0.0074591395,0.00055101584,0.000008554446],"category_scores_gemma":[0.0014697541,0.00079377496,0.0003437392,0.005630973,0.00046789087,0.0010023455,0.0007437768,0.0030592883,0.000016426104],"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":[0.0008596614,0.0159458,0.0014650609,0.0012852681,0.0014466012,0.000005054901,0.04784632,0.03946847,0.074689984,0.56478304,0.006058432,0.24614629],"study_design_scores_gemma":[0.002966502,0.00032568205,0.0030251727,0.0019105091,0.00016541415,0.000031795254,0.0006051461,0.9654959,0.007952886,0.015287156,0.0014643464,0.0007695176],"about_ca_topic_score_codex":0.00009847764,"about_ca_topic_score_gemma":0.0008471132,"teacher_disagreement_score":0.93450534,"about_ca_system_score_codex":0.0021733246,"about_ca_system_score_gemma":0.0023866238,"threshold_uncertainty_score":0.9997787},"labels":[],"label_agreement":null},{"id":"W4417052197","doi":"10.1109/jsac.2025.3641105","title":"RadioDiff- <i>k</i> <sup>2</sup> : Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China","keywords":"Helmholtz free energy; Helmholtz equation; Gravitational singularity; Inference; Generative model; Partial differential equation; Overhead (engineering); Artificial neural network","score_opus":0.0710374076177685,"score_gpt":0.3092212389395003,"score_spread":0.23818383132173182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417052197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038755298,0.001994589,0.95412767,0.0017318438,0.00091882586,0.0017435402,0.00020409173,0.0001719521,0.0003521807],"genre_scores_gemma":[0.8245288,0.0102654705,0.16315971,0.00047499817,0.00021947997,0.0003503252,0.0004105792,0.0000961752,0.0004944757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952998,0.000765026,0.002170786,0.0004977957,0.00048295924,0.00078362064],"domain_scores_gemma":[0.9949853,0.0010769961,0.0006515511,0.0014642546,0.0015206867,0.00030123102],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0011198156,0.0006943867,0.00078451657,0.0015153349,0.001721699,0.00044283818,0.0011825418,0.00055588334,0.000033082943],"category_scores_gemma":[0.0008176356,0.00075851777,0.0003370687,0.0014671716,0.00021568596,0.00076128176,0.000151057,0.002276018,0.000016505412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028730134,0.0005755382,0.00020912138,0.00018945924,0.00030296843,0.0000016586246,0.0051143486,0.96469337,0.008649538,0.0010948115,0.001507513,0.017374385],"study_design_scores_gemma":[0.004902559,0.00014426031,0.000113155074,0.001467386,0.00020468177,0.000053255237,0.0008089058,0.9844835,0.004918213,0.0013185629,0.00094797567,0.0006375751],"about_ca_topic_score_codex":0.000026001226,"about_ca_topic_score_gemma":0.0001652866,"teacher_disagreement_score":0.79096794,"about_ca_system_score_codex":0.0020489604,"about_ca_system_score_gemma":0.0013112726,"threshold_uncertainty_score":0.99957794},"labels":[],"label_agreement":null},{"id":"W4417143443","doi":"10.1109/jsac.2025.3642235","title":"Task-Specific Trust Evaluation for Multi-Hop Collaborator Selection via GNN-Aided Distributed Agentic AI","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Selection (genetic algorithm); Trustworthiness; Reliability (semiconductor); Graph; Path (computing); Resource (disambiguation); Trust management (information system)","score_opus":0.06629441538138892,"score_gpt":0.3532199016999656,"score_spread":0.2869254863185767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417143443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0154833365,0.0065765865,0.96302307,0.0077301227,0.0037090923,0.0029271431,0.00019576853,0.0002403718,0.0001145167],"genre_scores_gemma":[0.95291233,0.0046841544,0.039550066,0.001107059,0.00041176204,0.00069319026,0.00034891118,0.000071470895,0.00022107437],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9920934,0.002671496,0.0022109852,0.0009444696,0.0009835009,0.0010961404],"domain_scores_gemma":[0.9865127,0.0017670069,0.0012202052,0.002712708,0.0074242884,0.00036306426],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0031567458,0.0006943371,0.0008551437,0.0014378653,0.0029340808,0.0015287586,0.0036880306,0.00056737004,0.00007711566],"category_scores_gemma":[0.0018129852,0.0007586373,0.00033299485,0.012799138,0.0002491786,0.0009837361,0.00031691202,0.0025385143,0.000042007905],"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":[0.0028123495,0.016004048,0.03296596,0.0003201196,0.002915727,0.000037377242,0.0049401694,0.17050736,0.016635654,0.028802967,0.3041454,0.41991287],"study_design_scores_gemma":[0.005755669,0.00045566302,0.019802662,0.00088206877,0.00029742645,0.00006962326,0.00008408916,0.93714225,0.0009835471,0.002921746,0.03092583,0.00067941885],"about_ca_topic_score_codex":0.000041835705,"about_ca_topic_score_gemma":0.0006811823,"teacher_disagreement_score":0.93742895,"about_ca_system_score_codex":0.0027344194,"about_ca_system_score_gemma":0.003113766,"threshold_uncertainty_score":0.99976265},"labels":[],"label_agreement":null},{"id":"W4417471439","doi":"10.1109/jsac.2025.3645754","title":"Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Key Research and Development Program of China","keywords":"Resource allocation; Benchmark (surveying); Resource management (computing); Wireless; Overhead (engineering); Adaptability; Virtual machine; Server; Selection (genetic algorithm)","score_opus":0.04870686635229451,"score_gpt":0.3353575251678334,"score_spread":0.2866506588155389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417471439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12625135,0.004299116,0.56644034,0.2892957,0.0012708581,0.0038989147,0.00009968449,0.0010881304,0.007355892],"genre_scores_gemma":[0.8757799,0.0034328683,0.119106196,0.00079309836,0.00009909324,0.0003583629,0.000052664807,0.000053847314,0.00032394388],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9928705,0.0023900957,0.0018711254,0.0009751947,0.0006951738,0.0011978854],"domain_scores_gemma":[0.98700285,0.0023015528,0.0008357163,0.008767867,0.00094328995,0.0001487334],"candidate_categories":["metaresearch","metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.0022649919,0.00058604544,0.00071508193,0.0034349978,0.0022007255,0.0009071047,0.031738598,0.00044071145,0.000008097419],"category_scores_gemma":[0.014989979,0.0006531941,0.00018734901,0.00886433,0.00044287238,0.00038941353,0.028379757,0.003932096,0.000017796996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00145221,0.011345149,0.004520557,0.00044717913,0.0017243351,0.00023269559,0.0037021614,0.29432544,0.003198893,0.16044578,0.2085625,0.31004313],"study_design_scores_gemma":[0.00259892,0.00032802383,0.007070802,0.0017722588,0.00004755838,0.00006066606,0.0005883071,0.94770384,0.0010028228,0.029280411,0.008946102,0.0006002789],"about_ca_topic_score_codex":0.00012189169,"about_ca_topic_score_gemma":0.00014761252,"teacher_disagreement_score":0.7495286,"about_ca_system_score_codex":0.003912021,"about_ca_system_score_gemma":0.0016974492,"threshold_uncertainty_score":0.9999118},"labels":[],"label_agreement":null},{"id":"W7081931631","doi":"10.1109/jsac.2025.3609312","title":"WiCaliper: Simultaneous Material and 3D Size Sensing for Everyday Objects Using WiFi","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Standardization; Channel (broadcasting); Property (philosophy); Process (computing); Object (grammar); Function (biology); Quality (philosophy)","score_opus":0.023923781548924338,"score_gpt":0.2907816451172559,"score_spread":0.2668578635683316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7081931631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6678875,0.000651513,0.29416484,0.020602541,0.0019316118,0.0010005968,0.000029061412,0.0003378022,0.013394533],"genre_scores_gemma":[0.90242624,0.000102473234,0.09659224,0.00035285723,0.00006339792,0.0000040020345,0.0000026391263,0.0000036372,0.00045252565],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987909,0.00023979119,0.0003643256,0.00021346373,0.00011600813,0.0002754851],"domain_scores_gemma":[0.9964408,0.002160828,0.00015593828,0.00076199346,0.00040920125,0.000071187744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004080922,0.00014091448,0.00020664028,0.0001604202,0.0006114218,0.0002527093,0.0008655102,0.000108916196,0.0000041589046],"category_scores_gemma":[0.0016125126,0.00013622158,0.000039769842,0.0006322838,0.00008589287,0.00015338353,0.00018998694,0.0004256715,7.956585e-7],"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":[0.00073464244,0.0016803473,0.0033991965,0.00038414437,0.00057384383,0.00024179506,0.008106035,0.103655115,0.7262009,0.019619653,0.0040190676,0.1313853],"study_design_scores_gemma":[0.0014544409,0.00013873953,0.0009429453,0.00072901906,0.000042039796,0.00085850444,0.00014408515,0.9285742,0.01833693,0.018118486,0.03019141,0.0004691673],"about_ca_topic_score_codex":0.000014766178,"about_ca_topic_score_gemma":0.0000336423,"teacher_disagreement_score":0.8249191,"about_ca_system_score_codex":0.00011132797,"about_ca_system_score_gemma":0.00022812565,"threshold_uncertainty_score":0.5554955},"labels":[],"label_agreement":null},{"id":"W7083287887","doi":"10.1109/jsac.2025.3614195","title":"How Much Training Is Required for Channel Estimation in Fluid Antenna System?","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Research Foundation of Korea","keywords":"Channel state information; Channel (broadcasting); Overhead (engineering); Training (meteorology); Spatial correlation; Wireless; Antenna (radio); Representation (politics); Rank (graph theory)","score_opus":0.05935603263140788,"score_gpt":0.30062831373687804,"score_spread":0.24127228110547017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083287887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018897459,0.00057617633,0.87577105,0.09602001,0.0005522104,0.00061257306,0.000010894309,0.00018424212,0.0073754056],"genre_scores_gemma":[0.9772114,0.000085222084,0.021677457,0.00027245862,0.000027359194,0.000090397705,0.00000907194,0.0000033866213,0.00062321615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867463,0.00022261999,0.00043518128,0.00022108835,0.00014329795,0.00030316404],"domain_scores_gemma":[0.9977971,0.00053918554,0.0002145197,0.00095556147,0.00043735554,0.000056324992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007838246,0.00013693918,0.00023289077,0.00040160233,0.00038855532,0.00024284914,0.001693355,0.000111691,0.0000011305901],"category_scores_gemma":[0.00074843696,0.00013637258,0.00006068168,0.0014537177,0.000042856285,0.00034864445,0.00011056139,0.00046919985,0.000001624555],"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":[0.0005091858,0.0036433057,0.0036457516,0.0015504702,0.0007260207,0.00015640419,0.06429316,0.037460707,0.16807148,0.50643474,0.033401497,0.18010727],"study_design_scores_gemma":[0.00092314236,0.00006592137,0.0010049533,0.0010763694,0.000008406755,0.00010329031,0.001109213,0.97057235,0.0026444914,0.01813899,0.004164064,0.00018879131],"about_ca_topic_score_codex":0.000013324697,"about_ca_topic_score_gemma":0.0000499412,"teacher_disagreement_score":0.95831394,"about_ca_system_score_codex":0.00022307115,"about_ca_system_score_gemma":0.0002526446,"threshold_uncertainty_score":0.5561112},"labels":[],"label_agreement":null},{"id":"W7113900470","doi":"10.1109/jsac.2025.3642218","title":"Covert IRS-UAV Networks Empowered by Deep Reinforcement Learning","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Reinforcement learning; Markov decision process; Covert; Benchmark (surveying); Wireless; Transmission (telecommunications); Markov process; Transmitter power output; Channel (broadcasting); Adversary","score_opus":0.013801249551189252,"score_gpt":0.28099499643713993,"score_spread":0.26719374688595066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113900470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00677219,0.053400483,0.90073526,0.007435926,0.001465254,0.0012124663,0.0000119951155,0.0013001745,0.027666222],"genre_scores_gemma":[0.86068875,0.13371669,0.003928191,0.00026910132,0.00004797329,0.00015171185,0.0001095517,0.00009776342,0.0009902586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99496365,0.00095711317,0.0021248718,0.00043022196,0.0004895469,0.0010345741],"domain_scores_gemma":[0.99146986,0.002434947,0.0007983075,0.0043298285,0.0007622431,0.00020483772],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00080584857,0.00071383006,0.0008516758,0.0012841909,0.0016689894,0.00038686124,0.005324058,0.00071298296,0.00012184242],"category_scores_gemma":[0.0014882474,0.0008421714,0.00022284364,0.004203789,0.00043214197,0.0005644455,0.0008345727,0.008403084,0.000049107377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088360866,0.0003873535,0.0010603933,0.000029844716,0.00036134702,0.000004926766,0.00035725627,0.9534146,0.0016290043,0.0035847912,0.0077777985,0.0313043],"study_design_scores_gemma":[0.0019956222,0.00025813165,0.000836508,0.0017900303,0.00008459876,0.000040771985,0.0008890283,0.89503,0.0026230908,0.0013446695,0.09424432,0.0008632136],"about_ca_topic_score_codex":0.000034837358,"about_ca_topic_score_gemma":0.00017512307,"teacher_disagreement_score":0.8968071,"about_ca_system_score_codex":0.0025062033,"about_ca_system_score_gemma":0.00035349716,"threshold_uncertainty_score":0.9996307},"labels":[],"label_agreement":null},{"id":"W7114793850","doi":"10.1109/jsac.2025.3642840","title":"<i>LAMeTA</i> : Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","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":"Division of Electrical, Communications and Cyber Systems; Japan Science and Technology Agency; Nanyang Technological University; Ministry of Education, India; Queen's University; Agency for Science, Technology and Research; Queen's University Belfast; National Science Foundation","keywords":"Reinforcement learning; Generative grammar; Enhanced Data Rates for GSM Evolution; Semantics (computer science); Representation (politics); Function (biology); Selection (genetic algorithm); Feature learning","score_opus":0.024479924659919956,"score_gpt":0.2968168859824573,"score_spread":0.2723369613225374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114793850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008113143,0.0008638084,0.9922281,0.0026217096,0.0005010625,0.00037121717,0.000008495235,0.00026037954,0.0023339102],"genre_scores_gemma":[0.833184,0.0009138913,0.16171059,0.003466965,0.00009776569,0.000086730586,0.00006739142,0.000032717195,0.00043994802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969402,0.00070824864,0.0008289594,0.00042990703,0.00037340663,0.0007193106],"domain_scores_gemma":[0.9960417,0.00047413626,0.0003653671,0.0022917935,0.0006460103,0.00018098118],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009180456,0.00030916423,0.00041062702,0.00051255536,0.0009004516,0.0004644442,0.0033616773,0.0001676958,0.000014950788],"category_scores_gemma":[0.0001604828,0.00030104222,0.00016326377,0.003770535,0.00007674459,0.00059035595,0.000536816,0.001641325,0.0000103074635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029278599,0.00062001846,0.001304073,0.000008504309,0.0000871826,0.000005692973,0.00025356762,0.9753717,0.00002412644,0.013786999,0.006661148,0.0018476895],"study_design_scores_gemma":[0.0011295285,0.00005050328,0.0003390132,0.00020906277,0.000034253197,0.00003712493,0.000026759317,0.99199563,0.000023830882,0.004052358,0.0018333772,0.00026855152],"about_ca_topic_score_codex":0.000020713635,"about_ca_topic_score_gemma":0.000112060916,"teacher_disagreement_score":0.83237267,"about_ca_system_score_codex":0.00031825507,"about_ca_system_score_gemma":0.00038206915,"threshold_uncertainty_score":0.99994415},"labels":[],"label_agreement":null},{"id":"W7116957977","doi":"10.1109/jsac.2025.3647416","title":"Low Earth Orbit Satellite (LEOS)-Assisted Integrated Access and Backhauling in xG Wireless Communication: A Generalizable RL Framework","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Backhaul (telecommunications); Reinforcement learning; Wireless; Invariant (physics); Base station; Hypergraph; Embedding; Control reconfiguration","score_opus":0.042301112425354455,"score_gpt":0.3236160000703634,"score_spread":0.28131488764500895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116957977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5736694,0.32103932,0.030073676,0.018229231,0.0037092818,0.005587301,0.00026219187,0.0011459917,0.046283618],"genre_scores_gemma":[0.75400287,0.23109424,0.013444613,0.00046881387,0.000083786515,0.00022066633,0.00016764941,0.00014176905,0.00037556616],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98863965,0.0049464046,0.0037975968,0.00075696653,0.0006712998,0.0011880627],"domain_scores_gemma":[0.9843889,0.0050835507,0.0010455693,0.00739372,0.0016535063,0.0004347741],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0028379469,0.0010392121,0.0015933565,0.0029864886,0.0013374276,0.002005594,0.007772041,0.0010959173,0.0001285719],"category_scores_gemma":[0.0010326558,0.0011847494,0.000236692,0.011194058,0.00059541815,0.0012497656,0.001222383,0.007984628,0.00006316638],"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":[0.0019327742,0.011744667,0.2860114,0.0029155489,0.0044544865,0.0002249885,0.030262224,0.13828368,0.021554513,0.073377065,0.0028044158,0.42643425],"study_design_scores_gemma":[0.010675723,0.000366772,0.24747922,0.07898675,0.0005185756,0.0007438497,0.004576354,0.4754124,0.0088068945,0.012188132,0.15537123,0.004874119],"about_ca_topic_score_codex":0.00052343076,"about_ca_topic_score_gemma":0.0054129525,"teacher_disagreement_score":0.4215601,"about_ca_system_score_codex":0.0016038213,"about_ca_system_score_gemma":0.00110121,"threshold_uncertainty_score":0.9999627},"labels":[],"label_agreement":null},{"id":"W7117252511","doi":"10.1109/jsac.2025.3648707","title":"6G-Oriented LDPC-Coded Faster-Than-Nyquist Signaling: Code Design and Performance Analysis","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"PAPR reduction in OFDM","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","funders":"National Key Research and Development Program of China; Bundesministerium für Bildung und Forschung; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Decoding methods; EXIT chart; Low-density parity-check code; Puncturing; Encoder; Parity bit; Turbo code; Nyquist–Shannon sampling theorem; Information transfer","score_opus":0.033064170096325604,"score_gpt":0.2951678458806846,"score_spread":0.262103675784359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117252511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74624175,0.006865475,0.23513407,0.0027385291,0.0018918067,0.0010674202,0.00006556887,0.00032855282,0.005666811],"genre_scores_gemma":[0.9722561,0.011798522,0.014729449,0.00013578156,0.00013545177,0.00009074697,0.000037578706,0.000070121125,0.00074623333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949241,0.0013991301,0.0018388516,0.0005102575,0.0005322594,0.0007953691],"domain_scores_gemma":[0.99438155,0.0015393508,0.00056375534,0.0022430602,0.000928541,0.00034375917],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0013282561,0.0006262101,0.00094997673,0.0031585598,0.0013399156,0.0004312958,0.0017649914,0.00037458053,0.000097549244],"category_scores_gemma":[0.00050330476,0.00071402336,0.00026423953,0.009050968,0.00039960182,0.0004399876,0.00020206909,0.0031057897,0.000030873052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000555912,0.0012292432,0.029616164,0.00015695964,0.0054987674,0.000019649413,0.0027535015,0.9314309,0.01709365,0.0011035302,0.0023342322,0.00820751],"study_design_scores_gemma":[0.0025288106,0.00037326082,0.044121858,0.0016096465,0.0021546208,0.00018732266,0.00062361016,0.9257438,0.01357013,0.0003135831,0.0077741663,0.0009992009],"about_ca_topic_score_codex":0.000034709057,"about_ca_topic_score_gemma":0.00013523469,"teacher_disagreement_score":0.22601435,"about_ca_system_score_codex":0.00107602,"about_ca_system_score_gemma":0.00050625706,"threshold_uncertainty_score":0.9999602},"labels":[],"label_agreement":null},{"id":"W7117547354","doi":"10.1109/jsac.2025.3649622","title":"On-Device Machine Learning Model Adaptation for 6G Communications: From Standardization to Over-the-Air Prototyping Experiments Based on Beam Prediction","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Qualcomm (Canada)","funders":"","keywords":"Standardization; Adaptation (eye); Benchmark (surveying); Inference; Wireless; Process (computing); Rapid prototyping; Data modeling","score_opus":0.058416790810631634,"score_gpt":0.3521063930030678,"score_spread":0.29368960219243617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117547354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045779133,0.0009900874,0.969403,0.018057464,0.0004230671,0.0053672846,0.0003044798,0.00022558546,0.00065111386],"genre_scores_gemma":[0.8765998,0.001558841,0.113283716,0.0042267554,0.0001164602,0.0036103702,0.00040003934,0.00007772103,0.0001262914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9944263,0.00160547,0.0016882247,0.00084729644,0.00079227274,0.0006404351],"domain_scores_gemma":[0.9865374,0.0053705457,0.0011147208,0.0051951045,0.0015359415,0.0002462841],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001280254,0.00058779656,0.0005347329,0.0010715672,0.004429579,0.00052784523,0.00532396,0.00026276332,0.000008857941],"category_scores_gemma":[0.0014400419,0.000581779,0.00020783773,0.0043774187,0.00020326365,0.00072825124,0.00050381647,0.0027105615,0.000016298762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055864843,0.0011722329,0.00016585468,0.000013254949,0.00009050392,3.5891472e-7,0.0012499152,0.9606842,0.0011612291,0.010191783,0.00067039265,0.024041632],"study_design_scores_gemma":[0.0020529898,0.0006966279,0.0013613289,0.0017739562,0.000081289996,0.0000029331977,0.00011845769,0.97238284,0.0012338542,0.0099022575,0.00998275,0.00041073456],"about_ca_topic_score_codex":0.000059016278,"about_ca_topic_score_gemma":0.00030900197,"teacher_disagreement_score":0.8720219,"about_ca_system_score_codex":0.001799499,"about_ca_system_score_gemma":0.0010543503,"threshold_uncertainty_score":0.99966335},"labels":[],"label_agreement":null}]}