{"meta":{"query_hash":"d9e5749aa922","filters":{"venue":"Wireless Personal Communications"},"cohort_total":215,"direct_labels_cover":0,"predictions_cover":215,"exported":215,"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/d9e5749aa922","api":"https://metacan.xera.ac/api/v1/cohort?venue=Wireless+Personal+Communications"},"results":[{"id":"W1079623979","doi":"10.1007/s11277-015-2993-y","title":"A 3–6 GHz Current Reused Noise Canceling Low Noise Amplifier for WLAN and WPAN Applications","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Low-noise amplifier; Noise (video); Telecommunications; Electrical engineering; Amplifier; Computer network; Bandwidth (computing); Artificial intelligence","score_opus":0.06738903474028092,"score_gpt":0.2946538953271655,"score_spread":0.2272648605868846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1079623979","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":[0.19652647,0.06525049,0.69503963,0.005023938,0.0011712709,0.0069888243,0.0021466524,0.0030451822,0.024807552],"genre_scores_gemma":[0.99417496,0.0010665974,0.0021986153,0.000067508045,0.000117350515,0.0020116882,0.0002308721,0.00006780425,0.00006462551],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888116,0.000059976126,0.00032187058,0.00024574623,0.00017550528,0.00031573218],"domain_scores_gemma":[0.99803454,0.00022193429,0.000063497835,0.0011565251,0.0002640037,0.0002594819],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025158614,0.00022492524,0.000238208,0.00012842078,0.00029460603,0.000089920315,0.00078018045,0.000101632315,0.000007036546],"category_scores_gemma":[0.000054304175,0.0002462776,0.00007438032,0.0003159952,0.00018801297,0.00017076229,0.000024117282,0.00040783617,0.000028965911],"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":[0.00016146398,0.0016230324,0.0075357924,0.0019982622,0.0012057853,0.000006057872,0.05035006,0.015935468,0.41806582,0.13581865,0.047324523,0.31997508],"study_design_scores_gemma":[0.0016753135,0.00007149478,0.0005621472,0.0003320165,0.00017486732,0.000035735466,0.002700143,0.8699397,0.0019820367,0.0044884337,0.116972215,0.0010658923],"about_ca_topic_score_codex":0.00009395427,"about_ca_topic_score_gemma":0.00019794446,"teacher_disagreement_score":0.85400426,"about_ca_system_score_codex":0.0003004789,"about_ca_system_score_gemma":0.00016576487,"threshold_uncertainty_score":0.9999989},"labels":[],"label_agreement":null},{"id":"W1189764912","doi":"10.1007/s11277-015-3013-y","title":"Optimal Power Allocation and Relay Selection in Multi-hop Cognitive Relay Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Relay; Computer science; Hop (telecommunications); Computer network; Selection (genetic algorithm); Correctness; Dual (grammatical number); Cognitive radio; Transmission (telecommunications); Cognitive network; Power (physics); Telecommunications; Wireless; Algorithm; Artificial intelligence","score_opus":0.08354855680645877,"score_gpt":0.32358121562919767,"score_spread":0.2400326588227389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1189764912","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":[0.2765826,0.0061652516,0.706487,0.007689157,0.00013413251,0.00057183456,0.0000043122195,0.00028513948,0.0020805914],"genre_scores_gemma":[0.9640312,0.002129514,0.0330434,0.00038429134,0.00001784937,0.00011694726,0.000035099456,0.00001654731,0.00022515788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981855,0.0006469807,0.00033727314,0.00035518061,0.00020669932,0.0002683458],"domain_scores_gemma":[0.9981109,0.00040191336,0.00013626965,0.00071086973,0.00046927444,0.00017081143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084148353,0.00018460919,0.00019744235,0.00018714367,0.00046341022,0.0001791377,0.001149563,0.00012262045,0.000008298679],"category_scores_gemma":[0.00015580235,0.00020014738,0.00004357096,0.0009257752,0.00021658196,0.00067285105,0.0009355459,0.0006461913,0.00002247031],"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":[0.0003648435,0.0043396764,0.07882711,0.000043850436,0.00043366806,0.000021408385,0.18119025,0.058348294,0.0038999885,0.39524364,0.0048880465,0.27239922],"study_design_scores_gemma":[0.00091504224,0.00007303531,0.015601486,0.000090859794,0.000008612702,0.000024525329,0.0011599353,0.9801533,0.000028594375,0.000020066795,0.0016775538,0.00024697094],"about_ca_topic_score_codex":0.000052756106,"about_ca_topic_score_gemma":0.0007778036,"teacher_disagreement_score":0.921805,"about_ca_system_score_codex":0.00017631956,"about_ca_system_score_gemma":0.00016432234,"threshold_uncertainty_score":0.8161773},"labels":[],"label_agreement":null},{"id":"W1250734650","doi":"10.1007/s11277-015-2823-2","title":"On the Analysis of MIMO-ZF Receiver Over Fully Correlated MIMO Rayleigh Fading with LMMSE Channel Estimation","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"MIMO; Rayleigh fading; Computer science; Fading; Bit error rate; Monte Carlo method; Algorithm; Channel (broadcasting); Additive white Gaussian noise; Telecommunications; Mathematics; Statistics","score_opus":0.03204756996736307,"score_gpt":0.2565081668344679,"score_spread":0.22446059686710484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1250734650","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":[0.4531328,0.00079693866,0.53625596,0.000793998,0.00017609965,0.0007893401,0.00014442987,0.00043888873,0.007471556],"genre_scores_gemma":[0.99584234,0.00008227925,0.003508892,0.000037921378,0.000011698572,0.00008177953,0.0002643505,0.00004055785,0.00013020184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895436,0.00013257924,0.00032045887,0.00015959833,0.0002569027,0.00017608074],"domain_scores_gemma":[0.99808383,0.00041286298,0.00016955368,0.0009899733,0.00026478182,0.000078979276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026901838,0.00018580005,0.0002889655,0.0002900039,0.00019481224,0.00003029755,0.0004936727,0.00009391948,0.000033901397],"category_scores_gemma":[0.00008290302,0.00014818854,0.00008702682,0.0013898048,0.00013836709,0.00022757023,0.00006146425,0.00028522525,0.000018820325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033372402,0.00005231587,0.00027696678,0.000014890295,0.00051735295,5.2285077e-7,0.0048226505,0.98918414,0.00026962036,0.003972585,0.0004015236,0.00045407852],"study_design_scores_gemma":[0.00035449464,0.00003533699,0.00077338034,0.00010582105,0.00031900866,0.0000025846964,0.0011476907,0.99671966,0.00013632572,0.00010095064,0.00012913713,0.00017563644],"about_ca_topic_score_codex":0.00011239522,"about_ca_topic_score_gemma":0.00023508069,"teacher_disagreement_score":0.5427095,"about_ca_system_score_codex":0.00019726703,"about_ca_system_score_gemma":0.000040598134,"threshold_uncertainty_score":0.6042953},"labels":[],"label_agreement":null},{"id":"W1482850728","doi":"10.1023/a:1020232331191","title":"A Variable Slot Length TDMA Protocol for Personal Communication Systems","year":2002,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":8,"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 Alberta","funders":"","keywords":"Computer science; Time division multiple access; Computer network; Bandwidth (computing); Quality of service; Overhead (engineering); Real-time computing; Operating system","score_opus":0.12278072047499168,"score_gpt":0.34739640192316035,"score_spread":0.22461568144816868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482850728","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":[0.00076882663,0.0039101676,0.6506029,0.04242592,0.00032592806,0.23147826,0.00022959978,0.0023620515,0.067896344],"genre_scores_gemma":[0.4605284,0.0002611019,0.09646726,0.00034364406,0.00011599641,0.43895897,0.00011239772,0.00007996691,0.0031322793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99558127,0.0012533169,0.0008282095,0.0006604224,0.0008546376,0.00082212983],"domain_scores_gemma":[0.99040294,0.002165613,0.00043481166,0.0056724385,0.0010128719,0.00031133392],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0015462402,0.00040606922,0.0004761422,0.0003241345,0.002368099,0.00089920993,0.00950915,0.00025377926,0.00014268479],"category_scores_gemma":[0.00017028817,0.0004235678,0.00022417371,0.0013891401,0.00055268325,0.001206775,0.0026105866,0.001020808,0.00019452625],"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":[0.000056630917,0.0017301085,0.00025093724,0.00023026619,0.00019977584,0.0000013134141,0.009091042,0.00022866864,0.000605244,0.9133393,0.037550256,0.03671645],"study_design_scores_gemma":[0.0012308554,0.0000961237,0.0000992728,0.00018073291,0.00001093023,0.00003014452,0.0003419832,0.7947042,0.000021354197,0.00062737,0.2022749,0.00038213035],"about_ca_topic_score_codex":0.00022805278,"about_ca_topic_score_gemma":0.00007159762,"teacher_disagreement_score":0.9127119,"about_ca_system_score_codex":0.00036985354,"about_ca_system_score_gemma":0.00023445522,"threshold_uncertainty_score":0.9998216},"labels":[],"label_agreement":null},{"id":"W1484745789","doi":"10.1023/a:1008959121461","title":"Implementation of the Decorrelating Receiver for Asynchronous DS-CDMA Systems over Multipath Fading Channels","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Detector; Multiuser detection; Algorithm; Basis (linear algebra); Binary number; Multipath propagation; Signature (topology); Fading; Set (abstract data type); Interference (communication); Decoding methods; Telecommunications; Mathematics; Channel (broadcasting)","score_opus":0.045773663065213584,"score_gpt":0.3404479379532364,"score_spread":0.29467427488802284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484745789","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":[0.8048451,0.0027263386,0.17828415,0.006650861,0.0006286904,0.0033506188,0.00013272357,0.00030267696,0.0030788681],"genre_scores_gemma":[0.98933905,0.00045705267,0.009154488,0.000088603825,0.00006340298,0.00049014227,0.00003810527,0.000027597453,0.0003415323],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761134,0.0006063579,0.000578852,0.00032255414,0.00047275057,0.0004081547],"domain_scores_gemma":[0.99522424,0.0011736148,0.00032950038,0.002856271,0.00032696722,0.0000893814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008185443,0.00018845477,0.0002560296,0.000115563045,0.001173447,0.00020333173,0.0047238744,0.0001019641,0.000076759425],"category_scores_gemma":[0.000042437714,0.00016522064,0.00018305377,0.0007282087,0.0002442862,0.00055138115,0.00089809654,0.00040810785,0.0000177933],"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":[0.00005127851,0.00063518336,0.023457052,0.00022105963,0.00034504852,8.7683094e-7,0.040207475,0.027970081,0.0036164967,0.16098066,0.0027840727,0.7397307],"study_design_scores_gemma":[0.00069836626,0.00004562131,0.010334869,0.00014894217,0.000015535095,0.000008503568,0.0010198511,0.9815132,0.0002889151,0.00018597166,0.005523235,0.00021699267],"about_ca_topic_score_codex":0.0008514623,"about_ca_topic_score_gemma":0.0003153876,"teacher_disagreement_score":0.9535431,"about_ca_system_score_codex":0.00021511517,"about_ca_system_score_gemma":0.0002222107,"threshold_uncertainty_score":0.90253246},"labels":[],"label_agreement":null},{"id":"W1496101478","doi":"10.1023/a:1021172405152","title":"Error Performance of FH Wireless LANs in DS and Tone Interference","year":2002,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Fading; Interference (communication); Wideband; Frequency-hopping spread spectrum; Tone (literature); Wireless; Spread spectrum; Computer network; Electronic engineering; Telecommunications; Channel (broadcasting); Engineering","score_opus":0.07972702525695731,"score_gpt":0.32413408749993833,"score_spread":0.24440706224298103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496101478","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":[0.9809113,0.0024548376,0.0036365087,0.00650817,0.000047190817,0.00030176906,0.000009748699,0.00011043444,0.0060200277],"genre_scores_gemma":[0.98812795,0.0058362526,0.0053821197,0.00009695195,0.0000126349705,0.00010240405,0.000013519482,0.000017158824,0.00041100013],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979593,0.000430366,0.00050249835,0.00034687092,0.0003773608,0.00038356133],"domain_scores_gemma":[0.9962311,0.00062378123,0.00017492061,0.002641792,0.0001984286,0.00012997852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005566968,0.0001945943,0.00032856423,0.0002881484,0.0002947713,0.00009667113,0.0043554837,0.00012168984,0.00003927682],"category_scores_gemma":[0.000035087378,0.00020273942,0.000052401912,0.0009915313,0.0006248026,0.00061178434,0.0021271077,0.0007833357,0.000026247615],"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":[0.00006945493,0.0023620825,0.10157314,0.00035932567,0.00012921337,0.0000098605,0.042137805,0.00033215902,0.008885222,0.32387966,0.00088766153,0.51937443],"study_design_scores_gemma":[0.00044897335,0.00010192821,0.021188604,0.00021187917,0.0000041526587,0.000020519947,0.00035559956,0.97591823,0.0003050229,0.00012629619,0.0010756785,0.00024312678],"about_ca_topic_score_codex":0.00014403604,"about_ca_topic_score_gemma":0.0004979176,"teacher_disagreement_score":0.97558606,"about_ca_system_score_codex":0.00008847336,"about_ca_system_score_gemma":0.00006178113,"threshold_uncertainty_score":0.8267474},"labels":[],"label_agreement":null},{"id":"W1510363484","doi":"10.1023/a:1008902010825","title":"An Adaptive Combined DFE/RSSE Structure for Unknown Channel with Severe ISI","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Equalization (audio); Transmission (telecommunications); Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.0186793651188821,"score_gpt":0.260894145220344,"score_spread":0.24221478010146189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510363484","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":[0.74025166,0.005007623,0.20405123,0.0048930054,0.00019107929,0.006144474,0.0034411056,0.0100567425,0.025963072],"genre_scores_gemma":[0.9474029,0.0008594141,0.049854845,0.00014855279,0.000039745326,0.00052948354,0.0007494413,0.00012375046,0.00029188907],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872774,0.00011008795,0.0003144816,0.00027856496,0.00020456636,0.000364539],"domain_scores_gemma":[0.9968971,0.00023972662,0.000076184086,0.002395767,0.00023165523,0.0001595359],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010203478,0.0003400332,0.00033068637,0.00011591773,0.0005833834,0.00006479306,0.0017618883,0.0001689313,0.00012797114],"category_scores_gemma":[0.0000069860366,0.0003395163,0.00008425088,0.0003761225,0.00029511552,0.00051702204,0.00008770955,0.00054751703,0.000012985399],"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":[0.0024917433,0.0023795262,0.00049789244,0.0005595811,0.0015086293,0.000009670919,0.030193066,0.14725246,0.03709441,0.2026697,0.0063674822,0.56897587],"study_design_scores_gemma":[0.0020388244,0.0008131549,0.0008215427,0.00022456759,0.00009910487,0.00006163754,0.0018729903,0.9507157,0.0058889524,0.00617121,0.029882204,0.0014100815],"about_ca_topic_score_codex":0.000032997483,"about_ca_topic_score_gemma":0.0003682449,"teacher_disagreement_score":0.8034633,"about_ca_system_score_codex":0.00015332284,"about_ca_system_score_gemma":0.00005652245,"threshold_uncertainty_score":0.9999057},"labels":[],"label_agreement":null},{"id":"W1530593723","doi":"10.1023/a:1016060910543","title":"Resource Allocator for Non Real-Time Traffic in Wireless Networks Using Fuzzy Logic","year":2002,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Government of Canada","keywords":"Computer science; Computer network; Wireline; Wireless network; Wireless; Fading; Fuzzy logic; Resource allocation; Channel (broadcasting); Telecommunications","score_opus":0.07611556680418621,"score_gpt":0.3132561244940395,"score_spread":0.2371405576898533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530593723","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":[0.6285658,0.0061533097,0.28960016,0.042801518,0.00037912748,0.006093627,0.00009065708,0.0019212666,0.02439452],"genre_scores_gemma":[0.95626897,0.0020574166,0.040102877,0.00031622616,0.00010872146,0.0004458773,0.00009251889,0.0000730011,0.0005343912],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960892,0.00084273244,0.0008106848,0.00074884394,0.0005055713,0.0010029766],"domain_scores_gemma":[0.99272996,0.0016890772,0.0003119988,0.004659131,0.00032014668,0.00028967392],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0012934164,0.0004036279,0.0005639522,0.00046099676,0.0010917488,0.00035660688,0.007827923,0.00031720358,0.000040025338],"category_scores_gemma":[0.00006253426,0.00044654717,0.00024075659,0.0019467361,0.00050977647,0.00063360593,0.0019110822,0.0010063223,0.00007565275],"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":[0.00023646756,0.0058774147,0.0017474578,0.0002899604,0.00043385124,0.000043484146,0.02262033,0.16589172,0.014511436,0.37042308,0.018528212,0.3993966],"study_design_scores_gemma":[0.0008181133,0.00007407733,0.00037501368,0.00015124556,0.000012746236,0.000021357766,0.00023670185,0.9951796,0.000025423276,0.0002573737,0.0023728039,0.00047552347],"about_ca_topic_score_codex":0.00014301458,"about_ca_topic_score_gemma":0.00031096276,"teacher_disagreement_score":0.8292879,"about_ca_system_score_codex":0.00045874374,"about_ca_system_score_gemma":0.00017644827,"threshold_uncertainty_score":0.99979866},"labels":[],"label_agreement":null},{"id":"W1540458675","doi":"10.1023/a:1026084202852","title":"Optimum Infinite-Length MMSE Multi-User Decision-Feedback Space-Time Processing in Broadband Cellular Radio","year":2003,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université Laval","funders":"","keywords":"Computer science; MIMO; Intersymbol interference; Rayleigh fading; Equalization (audio); Minimum mean square error; Transmitter; Context (archaeology); Multi-user MIMO; Algorithm; Channel (broadcasting); Control theory (sociology); Fading; Telecommunications; Estimator; Mathematics; Statistics","score_opus":0.0216705003134107,"score_gpt":0.2673820423026767,"score_spread":0.245711541989266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540458675","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":[0.50937295,0.035256293,0.41922158,0.0011946734,0.00023614647,0.0024572206,0.00013028576,0.0039952057,0.02813565],"genre_scores_gemma":[0.8179671,0.0031178386,0.17787082,0.000051264207,0.000015568728,0.00025145832,0.000074980104,0.00012486827,0.00052605575],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997777,0.00029052646,0.0007087113,0.00036026255,0.0003323356,0.00053117325],"domain_scores_gemma":[0.9965125,0.0005206387,0.00014714408,0.0024433217,0.0001916828,0.00018474774],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005081864,0.00042884474,0.00048456932,0.00042826033,0.00043974706,0.00011970826,0.0017400967,0.00026659196,0.00012155706],"category_scores_gemma":[0.00016587967,0.00049260096,0.00013338572,0.0010118323,0.00035035724,0.0006102376,0.0003001917,0.0010826776,0.00015461682],"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":[0.0002516533,0.005588272,0.022114636,0.0010623498,0.0005116875,0.00007503955,0.039873928,0.118301176,0.291167,0.06037405,0.007207636,0.45347258],"study_design_scores_gemma":[0.0030489285,0.000063777916,0.003267335,0.0010265886,0.00006170625,0.00004618656,0.0018766994,0.84847593,0.016641786,0.0012928355,0.122241065,0.0019571595],"about_ca_topic_score_codex":0.00003211961,"about_ca_topic_score_gemma":0.00011192484,"teacher_disagreement_score":0.7301748,"about_ca_system_score_codex":0.00036494798,"about_ca_system_score_gemma":0.00011835088,"threshold_uncertainty_score":0.9997526},"labels":[],"label_agreement":null},{"id":"W1557966178","doi":"10.1023/a:1008995826675","title":"Macrodiversity in DS/CDMA Asynchronous Systems with Decorrelating Detectors","year":2001,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","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":"University of Victoria","funders":"","keywords":"Computer science; Asynchronous communication; Interference (communication); Code division multiple access; Algorithm; Computer network; Real-time computing; Channel (broadcasting)","score_opus":0.03546161175747942,"score_gpt":0.2749802120690889,"score_spread":0.2395186003116095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557966178","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":[0.79807854,0.002979448,0.18096188,0.0046795052,0.00016076524,0.000883114,0.000012426049,0.00053613994,0.011708164],"genre_scores_gemma":[0.9855017,0.0009093438,0.013126049,0.00007693909,0.000029577717,0.00012952709,0.000024270925,0.000023820066,0.00017875938],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997257,0.0007145343,0.00040621797,0.00045630353,0.0005801816,0.0005857744],"domain_scores_gemma":[0.99506545,0.00085441,0.00019937806,0.0034134844,0.00027232655,0.00019492522],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00074995065,0.00024078567,0.00030444,0.0003461337,0.0007791031,0.00033480756,0.005655804,0.0001314349,0.000022117298],"category_scores_gemma":[0.00004758531,0.00023900633,0.00007382182,0.0017625424,0.00035248793,0.00077929714,0.0020935622,0.0009737048,0.00010964514],"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":[0.00016060815,0.0015977488,0.6902965,0.000109226356,0.00024744734,0.00019107378,0.02312583,0.019524053,0.000640244,0.10843244,0.000670334,0.15500453],"study_design_scores_gemma":[0.00073613436,0.00008038835,0.038768012,0.00017748121,0.000007903663,0.00013618803,0.0012116438,0.95490074,0.000016401544,0.00008120986,0.003487678,0.00039623198],"about_ca_topic_score_codex":0.001416461,"about_ca_topic_score_gemma":0.0026603476,"teacher_disagreement_score":0.9353767,"about_ca_system_score_codex":0.0004388679,"about_ca_system_score_gemma":0.00026421176,"threshold_uncertainty_score":0.9997241},"labels":[],"label_agreement":null},{"id":"W1562031333","doi":"10.1023/a:1008954000541","title":"An Adaptive Hybrid ARQ Scheme","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Hybrid automatic repeat request; Algorithm; Rayleigh fading; Throughput; Convolutional code; Bit error rate; Error detection and correction; Channel (broadcasting); Selective Repeat ARQ; Automatic repeat request; Fading; Decoding methods; Telecommunications; Wireless; Transmission (telecommunications)","score_opus":0.0249832077146566,"score_gpt":0.2767720381630588,"score_spread":0.25178883044840217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562031333","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":[0.782757,0.0065672235,0.05851518,0.0019531704,0.00010837555,0.0010734268,0.00035593222,0.009375985,0.13929369],"genre_scores_gemma":[0.9371873,0.003608569,0.05828418,0.00014025428,0.000036846508,0.00024385363,0.00019336521,0.000078384335,0.00022724555],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988309,0.00013328216,0.00031862163,0.00021265454,0.00020218526,0.00030236546],"domain_scores_gemma":[0.9967991,0.00013231128,0.000043571803,0.002770302,0.000100500794,0.0001542281],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014252581,0.00024071605,0.00022749338,0.00010906345,0.00041213303,0.000054693963,0.0019939975,0.000083558094,0.00054133567],"category_scores_gemma":[0.000006328686,0.00028414634,0.00008755825,0.00029227318,0.00031414183,0.00054953614,0.00011472134,0.0005888276,0.00025119208],"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":[0.00008586603,0.00086414156,0.00050427514,0.00005469054,0.00023405268,0.0000074864693,0.004191594,0.0048270845,0.0375023,0.067803845,0.0040983204,0.87982637],"study_design_scores_gemma":[0.00036223148,0.000102296704,0.0008824885,0.000087763045,0.000020949452,0.000035251636,0.00062035583,0.91933215,0.007689703,0.0021710629,0.06794263,0.0007531408],"about_ca_topic_score_codex":0.000045459743,"about_ca_topic_score_gemma":0.00006852689,"teacher_disagreement_score":0.91450506,"about_ca_system_score_codex":0.00014233011,"about_ca_system_score_gemma":0.000032906883,"threshold_uncertainty_score":0.9999611},"labels":[],"label_agreement":null},{"id":"W1581525182","doi":"10.1023/a:1023282928706","title":"Environment and Movement Model for Mobile Terminal Location Tracking","year":2003,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Terminal (telecommunication); Multipath propagation; Motion (physics); Position (finance); Cellular network; Kinematics; Simulation; Real-time computing; Telecommunications; Artificial intelligence","score_opus":0.06387004692420731,"score_gpt":0.31325075265284963,"score_spread":0.24938070572864232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581525182","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":[0.01702487,0.0047252947,0.9745579,0.002015095,0.00002824608,0.0009224427,0.00001280604,0.000104132385,0.0006092215],"genre_scores_gemma":[0.8648164,0.0016466423,0.13163978,0.00032213988,0.000010846303,0.0011483507,0.000021634125,0.000018749255,0.00037544462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984216,0.00024951715,0.00031468715,0.0003622458,0.0003218478,0.00033008645],"domain_scores_gemma":[0.99695736,0.00044122338,0.00012422643,0.002173435,0.00016619502,0.00013754552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071704196,0.00016791327,0.00016987883,0.000111677546,0.0007807295,0.00020360388,0.0018931344,0.00007708835,0.000011225464],"category_scores_gemma":[0.0000364198,0.00018205537,0.000062774154,0.00024045586,0.00024730174,0.00045061632,0.00066314964,0.00028035257,0.000011399174],"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":[0.000017636605,0.00086270337,0.00064419536,0.00009306281,0.00008158705,9.0958747e-7,0.01119784,0.027762761,0.0030994478,0.78145474,0.0005716861,0.17421341],"study_design_scores_gemma":[0.00034929786,0.000048269016,0.0002928287,0.000028249717,0.000008009111,0.0000073085453,0.0002782536,0.99089265,0.0001986918,0.004114017,0.0035860399,0.00019638578],"about_ca_topic_score_codex":0.000014104041,"about_ca_topic_score_gemma":0.000022640103,"teacher_disagreement_score":0.9631299,"about_ca_system_score_codex":0.00015599914,"about_ca_system_score_gemma":0.00015174581,"threshold_uncertainty_score":0.7424003},"labels":[],"label_agreement":null},{"id":"W1590520640","doi":"10.1023/a:1008918530685","title":"An Efficient ARQ Protocol for Adaptive Error Control over Time-Varying Channels","year":2001,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science","score_opus":0.0939484817847611,"score_gpt":0.36790233126120686,"score_spread":0.27395384947644574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590520640","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":[0.0037331388,0.0000098982355,0.93480027,0.0021768305,0.00006187025,0.05597787,0.00007829013,0.0002611197,0.0029007338],"genre_scores_gemma":[0.8620845,5.698971e-7,0.018742017,0.0006190343,0.0000539272,0.118162625,0.000054656706,0.00001847573,0.00026418336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987151,0.00014604372,0.00027370805,0.0003086587,0.0002496159,0.00030685726],"domain_scores_gemma":[0.9982665,0.00023489917,0.00014112209,0.0010406574,0.00019158037,0.0001251993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028288507,0.00016198064,0.0001634955,0.000106588486,0.0004863478,0.00032236797,0.0015923303,0.000044086446,0.000039596474],"category_scores_gemma":[0.000013732953,0.00015929468,0.00009624983,0.00028499827,0.00008847172,0.00074712676,0.00017752164,0.000115367846,0.000050892282],"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":[0.0017025532,0.009017195,0.0016340349,0.00017324221,0.0005670144,0.00001823094,0.038119983,0.007969935,0.061729252,0.5568654,0.012447334,0.30975583],"study_design_scores_gemma":[0.0017791309,0.00031828994,0.00043266933,0.00003719698,0.0000080460395,0.000009382274,0.00009846546,0.9890629,0.00027567186,0.0006700586,0.007088526,0.00021968072],"about_ca_topic_score_codex":0.000026911182,"about_ca_topic_score_gemma":0.000008837651,"teacher_disagreement_score":0.98109293,"about_ca_system_score_codex":0.00008456806,"about_ca_system_score_gemma":0.00009810418,"threshold_uncertainty_score":0.6495849},"labels":[],"label_agreement":null},{"id":"W1596755758","doi":"10.1023/a:1024068714416","title":"Performance of Channel Carrying for Handoff in a DCA Cellular Network","year":2003,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Channel (broadcasting); Computer science; Handover; Computer network; Channel allocation schemes; Reuse; Telecommunications; Wireless; Engineering","score_opus":0.05481261357419247,"score_gpt":0.2939921476631981,"score_spread":0.2391795340890056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596755758","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":[0.7075017,0.010850949,0.25964776,0.005129344,0.0003561809,0.002352545,0.000028452625,0.00027339003,0.013859705],"genre_scores_gemma":[0.9633528,0.0010832029,0.034845144,0.00007163312,0.000027327951,0.00042825952,0.000024321029,0.000022695787,0.00014463326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780077,0.0005175643,0.00050736737,0.00030956176,0.00033711732,0.00052761455],"domain_scores_gemma":[0.99566954,0.0009836039,0.00020254034,0.0027251493,0.00031545683,0.00010371315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014356852,0.00017752375,0.00032536325,0.00020290143,0.0005310828,0.000072522955,0.0034901374,0.00010891855,0.000007271622],"category_scores_gemma":[0.0000922787,0.00019424518,0.00012342926,0.0012230973,0.00025380304,0.00038134088,0.0007564297,0.00045127078,0.000007706912],"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":[0.00016547462,0.0016884172,0.033228774,0.000540839,0.00022324659,0.0000039316806,0.019297464,0.03466564,0.01042568,0.8497286,0.0021330982,0.047898825],"study_design_scores_gemma":[0.0007736854,0.00008015192,0.0016020772,0.00017891788,0.000005974965,0.000005102583,0.00021860462,0.9909524,0.0012776755,0.0008515898,0.0038109727,0.00024288463],"about_ca_topic_score_codex":0.000058429778,"about_ca_topic_score_gemma":0.00016292564,"teacher_disagreement_score":0.9562867,"about_ca_system_score_codex":0.000110548,"about_ca_system_score_gemma":0.00027035625,"threshold_uncertainty_score":0.7921089},"labels":[],"label_agreement":null},{"id":"W1606340983","doi":"10.1023/a:1015673327179","title":"Rapid Access Protocols for Discontinuous Transmission in DS-CDMA Systems","year":2002,"lang":"en","type":"article","venue":"Wireless Personal 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 Alberta","funders":"","keywords":"Computer science; Computer network; Aloha; Random access; Code division multiple access; Asynchronous communication; Channel (broadcasting); Handshaking; Reservation; Throughput; Frame (networking); Multipath propagation; Wireless; Telecommunications","score_opus":0.17636138614521749,"score_gpt":0.37867262101604343,"score_spread":0.20231123487082595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606340983","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":[0.011124433,0.018984515,0.81397605,0.0734147,0.00031683673,0.057032023,0.00012717576,0.0012674135,0.023756871],"genre_scores_gemma":[0.9500287,0.001596762,0.013540629,0.0001430348,0.000057503094,0.03371684,0.000048480615,0.000041959524,0.0008260797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99691427,0.00076341274,0.00067254936,0.00051129685,0.00052996096,0.0006085063],"domain_scores_gemma":[0.99434316,0.0011008675,0.00021671141,0.003834798,0.0003016727,0.000202797],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0009524217,0.00026017305,0.0004003746,0.0003408255,0.0007283553,0.0008322077,0.010231345,0.00016083915,0.00004468294],"category_scores_gemma":[0.00006134031,0.00025329427,0.00015924752,0.0011867689,0.00026538837,0.0012445202,0.0014449756,0.0006723611,0.00003627365],"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":[0.00007690715,0.0025858574,0.0020269086,0.0003970871,0.00010098371,0.000007866343,0.00969912,0.0009299265,0.0014880336,0.16413763,0.012134771,0.8064149],"study_design_scores_gemma":[0.00095099997,0.00007442996,0.0010633427,0.00030473532,0.000004442465,0.000011393777,0.00015667116,0.88538677,0.000064581654,0.0002656263,0.11141578,0.00030123405],"about_ca_topic_score_codex":0.00015160844,"about_ca_topic_score_gemma":0.00011562811,"teacher_disagreement_score":0.9389043,"about_ca_system_score_codex":0.00018859241,"about_ca_system_score_gemma":0.00010946469,"threshold_uncertainty_score":0.99999195},"labels":[],"label_agreement":null},{"id":"W1663798946","doi":"10.1023/a:1008814125361","title":"Co-Channel and Adjacent Channel Interference in Wireless Cellular Communications","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science","score_opus":0.024241602745425816,"score_gpt":0.2710800637485848,"score_spread":0.24683846100315898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1663798946","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":[0.9746031,0.0009753651,0.0010242682,0.005519739,0.000016813847,0.0002064857,0.000091660964,0.00005728084,0.017505294],"genre_scores_gemma":[0.99716866,0.0009658274,0.00025372155,0.00012473924,0.000038581406,0.00014777567,0.0002995416,0.000023665745,0.0009774802],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987052,0.00021854338,0.00033659287,0.00028497487,0.00012929551,0.0003254129],"domain_scores_gemma":[0.998016,0.00017950231,0.00008705,0.001539795,0.00005882268,0.00011883726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001967747,0.00021152281,0.0002842272,0.0001288991,0.0004782354,0.00008632361,0.0012119854,0.00005409356,0.00035791032],"category_scores_gemma":[0.000002253414,0.00022795223,0.00009834669,0.00034256844,0.00040051495,0.000119876764,0.00021268369,0.00047676245,0.00007358337],"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":[0.00021482808,0.008413186,0.10287488,0.0002317629,0.001327282,0.000011455835,0.065821365,0.00028838572,0.06414225,0.10914786,0.0029975022,0.6445292],"study_design_scores_gemma":[0.004333238,0.00042732042,0.03077281,0.0012946447,0.00044385006,0.000025695057,0.018614713,0.9169958,0.0061659305,0.008869567,0.009074303,0.0029821051],"about_ca_topic_score_codex":0.0015344821,"about_ca_topic_score_gemma":0.00028813875,"teacher_disagreement_score":0.91670746,"about_ca_system_score_codex":0.000041729276,"about_ca_system_score_gemma":0.000050988783,"threshold_uncertainty_score":0.9295622},"labels":[],"label_agreement":null},{"id":"W1788317442","doi":"10.1007/s11277-015-3073-z","title":"Content-Aware Video QoE Coverage Analysis in Heterogeneous Wireless Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Quality of experience; Provisioning; Wireless network; Computer network; Wireless; Quality of service; Video quality; Metric (unit); Real-time computing; Telecommunications","score_opus":0.1091034986312963,"score_gpt":0.3300567913622332,"score_spread":0.2209532927309369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1788317442","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":[0.18322401,0.0014429616,0.8073397,0.0059517557,0.00016919569,0.00034536686,0.000031209893,0.00022136023,0.0012744298],"genre_scores_gemma":[0.995357,0.0002970829,0.0026183405,0.0012442945,0.000038559043,0.0001040171,0.0001222616,0.000016698921,0.00020176942],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733245,0.00069111557,0.0005473913,0.00047554047,0.0004936635,0.00045984334],"domain_scores_gemma":[0.99641967,0.00036415577,0.00020669423,0.0024331682,0.00031985712,0.00025647104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00081435376,0.00024742133,0.0004675201,0.00033110584,0.0003027891,0.00032385127,0.0030051835,0.00012739805,0.000014916737],"category_scores_gemma":[0.000030833835,0.00025796905,0.0002487796,0.0016972746,0.00017933785,0.000643251,0.0011696185,0.0004927158,0.00004039273],"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":[0.00032417194,0.00802487,0.31988165,0.00017018493,0.005511716,0.0006286036,0.06499666,0.08793647,0.0011793653,0.25507832,0.006899322,0.24936868],"study_design_scores_gemma":[0.000748112,0.000060152728,0.0072087846,0.000036436297,0.000086611624,0.000017623775,0.0008686276,0.9888558,0.00006271375,0.00026071336,0.0014179036,0.00037656192],"about_ca_topic_score_codex":0.0011819173,"about_ca_topic_score_gemma":0.0029768266,"teacher_disagreement_score":0.9009193,"about_ca_system_score_codex":0.0002940635,"about_ca_system_score_gemma":0.00023470925,"threshold_uncertainty_score":0.99998724},"labels":[],"label_agreement":null},{"id":"W1963709939","doi":"10.1007/s11277-008-9641-8","title":"Outage-based Decision Strategies for Coded Cooperative Relaying Schemes","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","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":"McGill University","funders":"","keywords":"Computer science; Relay; Outage probability; Signal-to-noise ratio (imaging); Range (aeronautics); Maximal-ratio combining; Upper and lower bounds; Mathematical optimization; Telecommunications; Computer network; Algorithm; Decoding methods; Fading; Power (physics); Mathematics","score_opus":0.10626438764996773,"score_gpt":0.33538018167266054,"score_spread":0.2291157940226928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963709939","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":[0.03817915,0.0019171084,0.9516097,0.005019578,0.000098425706,0.00049990765,0.000020145573,0.00030968752,0.0023463524],"genre_scores_gemma":[0.842386,0.0010902927,0.15518337,0.0007763924,0.000027002192,0.00027136467,0.000061810264,0.000018644534,0.00018512284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837077,0.00028390152,0.00039058973,0.00037275543,0.0002784267,0.00030355933],"domain_scores_gemma":[0.9954284,0.0014726106,0.0001521928,0.0021530895,0.0006756674,0.00011806217],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00041008255,0.00022660711,0.00026998325,0.00015152508,0.0025323282,0.00025675015,0.0030806782,0.00009115214,0.00002303099],"category_scores_gemma":[0.00013268235,0.00022322637,0.00015011817,0.000645152,0.00038916213,0.0007655214,0.0007189427,0.00037940245,0.000033095377],"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":[0.00007553729,0.00053198665,0.00076256966,0.000023449746,0.0000909597,0.0000043922932,0.012275244,0.0010393845,0.0064336793,0.9138817,0.004499583,0.06038151],"study_design_scores_gemma":[0.0012291243,0.0001115751,0.00075430056,0.00011932065,0.000011778831,0.00001765349,0.0008305804,0.9522058,0.0007367122,0.0009933779,0.042555273,0.00043451722],"about_ca_topic_score_codex":0.000009774687,"about_ca_topic_score_gemma":0.0001275759,"teacher_disagreement_score":0.9511664,"about_ca_system_score_codex":0.000107409534,"about_ca_system_score_gemma":0.000595585,"threshold_uncertainty_score":0.99876624},"labels":[],"label_agreement":null},{"id":"W1964874608","doi":"10.1007/s11277-006-9214-7","title":"An Adaptive MMOE-PIC Detector for Asynchronous DS-CDMA Communications","year":2006,"lang":"en","type":"article","venue":"Wireless Personal 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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Code division multiple access; Detector; Asynchronous communication; Interference (communication); Single antenna interference cancellation; Algorithm; Minimum mean square error; Energy (signal processing); Matched filter; Multiuser detection; Telecommunications; Statistics; Mathematics; Channel (broadcasting)","score_opus":0.05614708080849803,"score_gpt":0.3278894737269876,"score_spread":0.2717423929184896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964874608","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":[0.019646125,0.0057653245,0.94456863,0.015928108,0.00018780511,0.0021990996,0.00022996656,0.0012715517,0.010203405],"genre_scores_gemma":[0.77998227,0.00049018994,0.21719499,0.0002650756,0.00012278857,0.0012862214,0.00038186114,0.000060819577,0.00021576269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959244,0.0011324248,0.00077431364,0.0007104751,0.00062961987,0.0008287543],"domain_scores_gemma":[0.9837857,0.001834857,0.00036536617,0.012758845,0.000961865,0.00029337787],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001041205,0.00041023418,0.0004549223,0.0003711514,0.0026447098,0.00058845547,0.017756246,0.00024134916,0.000026074093],"category_scores_gemma":[0.00006812761,0.00045190623,0.0002729674,0.0012499036,0.0010740964,0.0012825934,0.0029769195,0.0009415319,0.00011041935],"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":[0.00005547481,0.0017278488,0.0007597459,0.000029436778,0.00011166171,0.0000016646651,0.0016668235,0.0004713453,0.003997428,0.9039895,0.0025968326,0.08459224],"study_design_scores_gemma":[0.0008224333,0.0002945648,0.0041542775,0.000060109687,0.000027542754,0.000021732032,0.00039883214,0.96261215,0.00040681477,0.0054207044,0.0251754,0.00060544035],"about_ca_topic_score_codex":0.0008044924,"about_ca_topic_score_gemma":0.003287141,"teacher_disagreement_score":0.9621408,"about_ca_system_score_codex":0.0004158092,"about_ca_system_score_gemma":0.0005370729,"threshold_uncertainty_score":0.9997933},"labels":[],"label_agreement":null},{"id":"W1965241138","doi":"10.1007/s11277-014-1742-y","title":"Frequency Reuse Techniques with a Distributed Antenna System","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hfr cell; Computer science; Reuse; Telecommunications link; Interference (communication); Distributed antenna system; Frequency reuse; Spectral efficiency; Antenna (radio); Electronic engineering; Real-time computing; Telecommunications; Base station; Beamforming","score_opus":0.01205680775999427,"score_gpt":0.2254868466495372,"score_spread":0.21343003888954293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965241138","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":[0.011308184,0.0004305682,0.9779418,0.00033300192,0.00005010114,0.00038172439,0.000116967116,0.002255631,0.0071819904],"genre_scores_gemma":[0.928573,0.00009395557,0.070752785,0.000014406837,0.0000374469,0.00021240204,0.00023667791,0.000052520078,0.000026767919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919915,0.000088893066,0.00024267638,0.00014797761,0.000121337136,0.00019997604],"domain_scores_gemma":[0.99793214,0.00010010502,0.00006902454,0.0016684489,0.00015643684,0.000073826195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014429554,0.00017016492,0.00020344007,0.00008138573,0.00023107782,0.000039045244,0.00082804874,0.000081836166,0.000004079172],"category_scores_gemma":[0.000031706408,0.00016026667,0.00003776309,0.00032738422,0.00011156065,0.00020689811,0.00010553347,0.000233221,0.000020208796],"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":[0.00015667199,0.0011055098,0.030927368,0.0051202425,0.0015719793,0.000043888795,0.0229287,0.033350088,0.32976502,0.51361454,0.0071938494,0.05422216],"study_design_scores_gemma":[0.00035884025,0.00006120322,0.0005213536,0.000672099,0.000045930043,0.00007983894,0.00122127,0.99225277,0.0012293333,0.00013435523,0.002921723,0.0005013037],"about_ca_topic_score_codex":0.000053843698,"about_ca_topic_score_gemma":0.00009971717,"teacher_disagreement_score":0.95890266,"about_ca_system_score_codex":0.00020649121,"about_ca_system_score_gemma":0.000019743478,"threshold_uncertainty_score":0.65354854},"labels":[],"label_agreement":null},{"id":"W1966266694","doi":"10.1007/s11277-014-2013-7","title":"Min–Max Energy-Efficiency Analysis of Green Multiuser Wireless Systems","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Fractional programming; Mathematical optimization; Energy (signal processing); Power (physics); Efficient energy use; Iterative method; Wireless; Convex optimization; Wireless network; Nonlinear programming; Parametric statistics; Scheme (mathematics); Parametric programming; Nonlinear system; Regular polygon; Algorithm; Telecommunications; Mathematics; Electrical engineering","score_opus":0.017271284929410047,"score_gpt":0.2427634166427979,"score_spread":0.22549213171338786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966266694","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":[0.11139262,0.002026708,0.87779516,0.00013195774,0.00023683513,0.00028923192,0.00016405922,0.0005056292,0.0074578216],"genre_scores_gemma":[0.99692106,0.00026039753,0.001975739,0.000014453779,0.000039393704,0.00010464045,0.00024290734,0.000050933435,0.000390468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855924,0.00017984597,0.0005485946,0.00021635265,0.00024311316,0.0002528677],"domain_scores_gemma":[0.9977181,0.00031544414,0.00017595042,0.0014512413,0.00024319645,0.0000960837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024555143,0.00021644165,0.0005017871,0.00045035002,0.00019181326,0.000029988882,0.0008821866,0.00012850833,0.000015235737],"category_scores_gemma":[0.0000220112,0.0002333333,0.0001771635,0.0014033456,0.0001598482,0.00017889605,0.00012617845,0.00017556416,0.000010329341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010552448,0.00028442437,0.0033040426,0.0002510841,0.0013493004,6.752727e-7,0.0047441735,0.9239697,0.0107411435,0.044667795,0.000199184,0.01047793],"study_design_scores_gemma":[0.00019922061,0.000017046113,0.0004491497,0.000060769453,0.0002880538,0.0000016183706,0.0005260182,0.99635446,0.00019266724,0.000013440589,0.001660112,0.00023742668],"about_ca_topic_score_codex":0.0012410997,"about_ca_topic_score_gemma":0.0010550086,"teacher_disagreement_score":0.88552845,"about_ca_system_score_codex":0.00011585357,"about_ca_system_score_gemma":0.000021942391,"threshold_uncertainty_score":0.95150554},"labels":[],"label_agreement":null},{"id":"W1968028972","doi":"10.1007/s11277-005-8261-9","title":"Patch Loading Circular Aperture Slot Antennas for Broadband WLAN Applications","year":2005,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Broadband; Computer science; Slot antenna; Bandwidth (computing); Radiation; Planar; Radiation pattern; Aperture (computer memory); Antenna (radio); Directional antenna; Acoustics; Telecommunications; Optics; Physics","score_opus":0.02488387436159306,"score_gpt":0.25433038088443627,"score_spread":0.2294465065228432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968028972","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":[0.011480216,0.010114416,0.96647257,0.0061770324,0.000041723903,0.00077524007,0.0002731777,0.0007395897,0.003926017],"genre_scores_gemma":[0.9904814,0.0012480146,0.006418776,0.00035347932,0.0001498541,0.0005090157,0.00031443566,0.0000517824,0.00047328798],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990988,0.000032359567,0.00025857362,0.00019376348,0.00013599885,0.00028052815],"domain_scores_gemma":[0.99865013,0.00023701365,0.00004432155,0.0008422973,0.00011291824,0.00011332524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013381273,0.00018548321,0.00022647344,0.00011441009,0.00048478032,0.00006730903,0.0006911271,0.000086600354,0.000050323968],"category_scores_gemma":[0.000014529761,0.00019391975,0.00019956256,0.00033121454,0.000109942586,0.00014898642,0.00005929114,0.00025808087,0.000093311515],"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":[0.000035314482,0.0007714008,0.0044568134,0.00048965745,0.0014319249,0.0000025835932,0.007818829,0.00057904137,0.86359787,0.044891298,0.0059425333,0.06998275],"study_design_scores_gemma":[0.0002593081,0.000007737313,0.00024460457,0.0000336691,0.00007956832,0.000008455982,0.000664475,0.85770357,0.000120890254,0.0001048562,0.14050944,0.00026342855],"about_ca_topic_score_codex":0.000033933902,"about_ca_topic_score_gemma":0.00015353458,"teacher_disagreement_score":0.97900116,"about_ca_system_score_codex":0.000097095544,"about_ca_system_score_gemma":0.000025825404,"threshold_uncertainty_score":0.7907818},"labels":[],"label_agreement":null},{"id":"W1970945969","doi":"10.1007/s11277-014-1984-8","title":"Cooperative Subcarrier Allocation and Power Allocation in the Downlink of an Amplify-and-Forward OFDM Relaying System","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Subcarrier; Computer science; Relay; Orthogonal frequency-division multiplexing; Telecommunications link; Wireless; Throughput; Power (physics); Computer network; Resource allocation; Telecommunications; Channel (broadcasting)","score_opus":0.032921163244135014,"score_gpt":0.2842030654324409,"score_spread":0.2512819021883059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970945969","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":[0.8531463,0.002503177,0.12025912,0.015746666,0.00008200559,0.00089193234,0.000012587468,0.00016254694,0.0071956683],"genre_scores_gemma":[0.99311,0.00077885535,0.005517619,0.00041089766,0.000012842756,0.00009846143,0.00004462239,0.000009816369,0.000016892085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763817,0.0012940317,0.00039056758,0.000280294,0.00023100508,0.00016593319],"domain_scores_gemma":[0.99713707,0.00068968826,0.00017696095,0.0016432102,0.0002820107,0.000071032046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016168996,0.00015373954,0.00021799249,0.00013009564,0.0006177149,0.00016902742,0.0016190606,0.00008317713,0.0000026020502],"category_scores_gemma":[0.00008706895,0.00012719292,0.000030661522,0.0005289375,0.00028931434,0.0005547413,0.00050863595,0.00037619224,0.0000033667825],"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":[0.000009119423,0.00010433331,0.0010315018,0.00002419582,0.000018896113,2.2913143e-7,0.024107052,0.00005403792,0.0020824014,0.93983585,0.000025265197,0.03270714],"study_design_scores_gemma":[0.000704488,0.0001781281,0.030513154,0.00020479065,0.000022023572,0.00003863865,0.008114579,0.95583695,0.00020501103,0.00041659042,0.003434709,0.00033090616],"about_ca_topic_score_codex":0.000062144,"about_ca_topic_score_gemma":0.00042046214,"teacher_disagreement_score":0.95578295,"about_ca_system_score_codex":0.000059897302,"about_ca_system_score_gemma":0.000068598085,"threshold_uncertainty_score":0.51867765},"labels":[],"label_agreement":null},{"id":"W1972119094","doi":"10.1007/s11277-007-9262-7","title":"A seamless context-aware architecture for fourth generation wireless networks","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":35,"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 Guelph; Queen's University","funders":"","keywords":"Computer science; Handover; Computer network; Context (archaeology); Wireless network; Quality of service; Wireless; Throughput; Network architecture; Heterogeneous network; Context awareness; Distributed computing; Telecommunications","score_opus":0.02987970197242017,"score_gpt":0.26523289652344834,"score_spread":0.23535319455102816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972119094","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":[0.20726237,0.0033963807,0.78528875,0.00068732974,0.0006940086,0.0011487931,0.00017118662,0.0006055045,0.00074565376],"genre_scores_gemma":[0.9939255,0.00038980757,0.0032854222,0.00032361734,0.00077958364,0.0003264233,0.00075835304,0.000111444795,0.00009982139],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796253,0.00013664067,0.00053869636,0.00037186212,0.00029025992,0.00069999194],"domain_scores_gemma":[0.9973603,0.0006576351,0.00011377106,0.0013845991,0.00026979097,0.00021393507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008097246,0.0003840413,0.00041190643,0.00013533163,0.00068895525,0.000114826915,0.0010265958,0.00033798852,0.000026438682],"category_scores_gemma":[0.000022589686,0.0004268446,0.00023957831,0.00039329336,0.00026859352,0.00018980926,0.00020419885,0.0008799808,0.000009929922],"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":[0.00050832593,0.0011436404,0.0035658658,0.00074222137,0.0010620808,0.000016258417,0.019570855,0.16078861,0.007586239,0.04570924,0.015925797,0.74338084],"study_design_scores_gemma":[0.0009499447,0.000048817492,0.00072565785,0.00007596568,0.00007544395,0.000019053708,0.00075847993,0.97552747,0.00043911184,0.0002339492,0.020618686,0.00052744616],"about_ca_topic_score_codex":0.00009066703,"about_ca_topic_score_gemma":0.009783336,"teacher_disagreement_score":0.8147388,"about_ca_system_score_codex":0.00027345604,"about_ca_system_score_gemma":0.000060504866,"threshold_uncertainty_score":0.9998183},"labels":[],"label_agreement":null},{"id":"W1972738736","doi":"10.1007/s11277-008-9601-3","title":"Towards a Performance-Based Resource Server Access Control in Future Grid Communication Environments","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Distributed and Parallel Computing Systems","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":"St. Francis Xavier University","funders":"","keywords":"Computer science; Grid; Distributed computing; Stability (learning theory); Throughput; Control (management); Grid computing; Resource (disambiguation); Resource allocation; Access control; Computer network; Operating system; Wireless","score_opus":0.03422470760487116,"score_gpt":0.25842047348525715,"score_spread":0.22419576588038598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972738736","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":[0.8647246,0.0029212048,0.0976716,0.02257898,0.00035427194,0.0010835378,0.00010973422,0.00046756017,0.010088541],"genre_scores_gemma":[0.99577814,0.00036365792,0.002393141,0.00090117205,0.00007898271,0.00011732546,0.0002283332,0.000016498714,0.00012275694],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978055,0.0006135476,0.00044029308,0.0003412876,0.00044563404,0.00035373308],"domain_scores_gemma":[0.99667907,0.00020552179,0.00021943334,0.0027184424,0.000061299164,0.00011625443],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0005521617,0.00022465723,0.00028965727,0.00016444614,0.0008104939,0.0001525816,0.0056010927,0.00012804706,0.000012094385],"category_scores_gemma":[0.000011582241,0.00022952953,0.00010926051,0.0006430775,0.00023535859,0.0006105413,0.0008295416,0.00054466707,0.000050285922],"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":[0.0005220513,0.00760997,0.66197085,0.00053472456,0.0005659571,0.000104743405,0.055580497,0.06515767,0.0010658749,0.065330364,0.033689924,0.10786735],"study_design_scores_gemma":[0.001717017,0.000055377026,0.17454138,0.00014464986,0.000009179191,0.000039551018,0.00015288219,0.71963084,0.00003902096,0.000041561383,0.1032425,0.0003860619],"about_ca_topic_score_codex":0.00022390028,"about_ca_topic_score_gemma":0.00008398913,"teacher_disagreement_score":0.6544731,"about_ca_system_score_codex":0.00018640584,"about_ca_system_score_gemma":0.0002025396,"threshold_uncertainty_score":0.9997791},"labels":[],"label_agreement":null},{"id":"W1973836169","doi":"10.1007/s11277-013-1350-2","title":"PAPR Reduction in OFDM Systems: Polynomial-Based Compressing and Iterative Expanding","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":8,"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; University of Toronto","funders":"","keywords":"Companding; Computer science; Algorithm; Polynomial; Orthogonal frequency-division multiplexing; Reduction (mathematics); Transmitter; Mathematical optimization; Mathematics; Telecommunications","score_opus":0.026438033310544812,"score_gpt":0.2635034992707387,"score_spread":0.23706546596019387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973836169","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":[0.99113697,0.0026815247,0.00092287693,0.0007577574,0.0002793979,0.00037467634,0.000013456158,0.00024283602,0.0035904855],"genre_scores_gemma":[0.9980859,0.00013865725,0.0012496467,0.000014457044,0.000066522036,0.00029009118,0.000035350393,0.000029130224,0.00009025288],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991326,0.00013376508,0.00027728386,0.00014963005,0.00011393899,0.00019278118],"domain_scores_gemma":[0.99922365,0.00013085414,0.000054262804,0.00045753663,0.00006109478,0.000072628805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011763611,0.00014639126,0.00018310884,0.00020213313,0.00025382548,0.00016088692,0.00024974137,0.00007932633,0.000024493556],"category_scores_gemma":[0.000012185316,0.00016436662,0.00003121298,0.00023032534,0.00018616542,0.00038439728,0.00006241232,0.0003184316,0.000023841934],"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":[0.000052717587,0.00054959534,0.019953115,0.00089181704,0.00032477142,0.0000052195674,0.044467017,0.084134616,0.7919718,0.0055029257,0.013365011,0.038781416],"study_design_scores_gemma":[0.0007711376,0.000021212085,0.01111438,0.00052857655,0.000018594063,0.000045799712,0.008431619,0.9737324,0.0024163672,0.00004870907,0.0024298616,0.00044132443],"about_ca_topic_score_codex":0.00032738503,"about_ca_topic_score_gemma":0.00003541065,"teacher_disagreement_score":0.8895978,"about_ca_system_score_codex":0.00019872868,"about_ca_system_score_gemma":0.00002624027,"threshold_uncertainty_score":0.6702676},"labels":[],"label_agreement":null},{"id":"W1976643347","doi":"10.1007/s11277-014-1625-2","title":"Performance Analysis of Adaptive Modulation for Precoded MIMO Systems with a GMD Zero-Forcing Transceiver","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Rayleigh fading; MIMO; Computer science; Wishart distribution; Cumulative distribution function; Spectral efficiency; Bit error rate; Link adaptation; Fading; Transmitter; Algorithm; Channel (broadcasting); Control theory (sociology); Telecommunications; Mathematics; Statistics; Probability density function","score_opus":0.023213680030737722,"score_gpt":0.23387540471166543,"score_spread":0.2106617246809277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976643347","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":[0.18374297,0.00016607002,0.8143884,0.000017461503,0.000034756544,0.00046759867,0.000073995136,0.000119440934,0.0009893065],"genre_scores_gemma":[0.9816082,0.00007810754,0.017697439,0.0000035205844,0.000016137225,0.00026490702,0.00023175523,0.000038246842,0.00006166361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991556,0.00006411086,0.00033025225,0.0001522779,0.00013404666,0.00016370745],"domain_scores_gemma":[0.99872476,0.00021702182,0.00013792144,0.00062261254,0.0002538724,0.0000438135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001927348,0.00015158147,0.0003439769,0.00024807756,0.00017733498,0.00001770813,0.00030271223,0.00007190046,0.0000026823889],"category_scores_gemma":[0.000009353139,0.00015044295,0.0000972921,0.00062651635,0.00007485731,0.00027162748,0.000015578958,0.00010737601,0.0000013106081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031457144,0.000022962187,0.0012000628,0.00013490934,0.00045683916,1.3655141e-8,0.0020520869,0.99101996,0.0018000012,0.0014678664,0.000007239222,0.0018065748],"study_design_scores_gemma":[0.00038345665,0.000065366934,0.0026007353,0.0001342848,0.00039113127,0.0000010467261,0.00040385601,0.99555284,0.00021357147,0.000007478991,0.00007497715,0.00017127508],"about_ca_topic_score_codex":0.000058155692,"about_ca_topic_score_gemma":0.00017216333,"teacher_disagreement_score":0.7978653,"about_ca_system_score_codex":0.00010099222,"about_ca_system_score_gemma":0.000017524837,"threshold_uncertainty_score":0.61348855},"labels":[],"label_agreement":null},{"id":"W1980321378","doi":"10.1007/s11277-012-0518-5","title":"Performance Analysis of Partial Relay Selection in Cooperative Spectrum Sharing Systems","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":8,"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; Université du Québec à Montréal","funders":"","keywords":"Computer science; Cognitive radio; Relay; Fading; Rayleigh fading; Multipath propagation; Cooperative diversity; Nakagami distribution; Wireless; Spectral efficiency; Telecommunications; Computer network; Transmission (telecommunications); Diversity gain; Decoding methods; Power (physics); Channel (broadcasting)","score_opus":0.061660422608293526,"score_gpt":0.3048086807335178,"score_spread":0.24314825812522428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980321378","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":[0.96132153,0.0022345555,0.032168914,0.000871217,0.00011040588,0.00025263,0.000005862276,0.00009634494,0.0029385483],"genre_scores_gemma":[0.9967836,0.0016544895,0.0012430537,0.000043226955,0.000029984627,0.00008333707,0.000025357329,0.000008381508,0.00012857311],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984572,0.00036853502,0.00044276743,0.00021517613,0.00021494264,0.00030141018],"domain_scores_gemma":[0.99826264,0.00022544451,0.00018612195,0.0010820812,0.00015802443,0.00008565548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008317009,0.00013924036,0.00031533113,0.00046220046,0.00039621917,0.00007876206,0.0017295453,0.000062746934,0.000024786726],"category_scores_gemma":[0.000028341134,0.00014297156,0.00009282559,0.0032060347,0.00011566081,0.00077968586,0.00074534427,0.00035865605,0.000013363422],"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":[0.000019894767,0.0006917009,0.59451133,0.000028531134,0.00055895693,2.7820235e-7,0.019486867,0.031048577,0.0033339483,0.344244,0.00006616004,0.006009764],"study_design_scores_gemma":[0.00014131384,0.0000242973,0.11377008,0.0000440891,0.000051874737,0.0000027622962,0.00021758775,0.8847186,0.00024613363,0.0000021730782,0.00064010214,0.0001409619],"about_ca_topic_score_codex":0.0001062793,"about_ca_topic_score_gemma":0.00039745498,"teacher_disagreement_score":0.85367006,"about_ca_system_score_codex":0.00017034792,"about_ca_system_score_gemma":0.00006727906,"threshold_uncertainty_score":0.5830211},"labels":[],"label_agreement":null},{"id":"W1980870358","doi":"10.1007/s11277-006-9059-0","title":"Medium Access Control for Integrated Multimedia Wireless Access with the Use of a Video Packet Discard Scheme","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Computer network; Quality of service; Network packet; Wireless network; Throughput; Wireless; Telecommunications","score_opus":0.04151579013070823,"score_gpt":0.281075533800077,"score_spread":0.23955974366936877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980870358","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":[0.18726076,0.0007268423,0.8051381,0.0030823473,0.00015829479,0.0019681812,0.0008600601,0.00053251674,0.00027290278],"genre_scores_gemma":[0.97932154,0.00034611006,0.018050412,0.000113539616,0.00011091653,0.0009578316,0.0008878179,0.00011946264,0.00009237978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983228,0.00014126881,0.0005030096,0.0002783033,0.0003329243,0.00042169384],"domain_scores_gemma":[0.99638414,0.0014860202,0.0002532505,0.0012586308,0.0005296701,0.000088267356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018646863,0.00035900803,0.000466677,0.00014014948,0.00032117817,0.00023008145,0.0018407949,0.00014897858,0.00001513414],"category_scores_gemma":[0.000045792334,0.00026929658,0.00013665989,0.00077912887,0.00059284567,0.0010708651,0.00022393277,0.00044770964,0.000002448516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006212582,0.0005449823,0.017637312,0.00034443077,0.00079923595,0.0000030301255,0.0016487195,0.9243932,0.009708936,0.0053905924,0.02270139,0.016206931],"study_design_scores_gemma":[0.0014568822,0.000032303353,0.003152665,0.00015983777,0.000107526306,0.0000043269097,0.00021541996,0.9869056,0.0009954299,0.000060686085,0.0065454324,0.00036392285],"about_ca_topic_score_codex":0.00032967937,"about_ca_topic_score_gemma":0.0025264006,"teacher_disagreement_score":0.7920608,"about_ca_system_score_codex":0.0001307474,"about_ca_system_score_gemma":0.0000985879,"threshold_uncertainty_score":0.9999759},"labels":[],"label_agreement":null},{"id":"W1982586504","doi":"10.1007/s11277-008-9448-7","title":"A Channel based Fair Scheduling Scheme for Downlink Data Transmission in TD-CDMA Networks","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Scheduling (production processes); Maximum throughput scheduling; Telecommunications link; Throughput; Code division multiple access; Computer network; Fairness measure; Network packet; Channel (broadcasting); Proportionally fair; Data transmission; Wireless; Real-time computing; Dynamic priority scheduling; Round-robin scheduling; Telecommunications; Quality of service; Mathematical optimization","score_opus":0.07385997584558751,"score_gpt":0.2848493049720901,"score_spread":0.2109893291265026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982586504","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":[0.008720834,0.0031805495,0.985839,0.00078642037,0.000080814294,0.0005816219,0.00009855441,0.00041552624,0.00029664865],"genre_scores_gemma":[0.8038873,0.002587771,0.19103627,0.00009019699,0.00009448574,0.00021389,0.0019924217,0.00007744867,0.000020228958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985682,0.000070635644,0.00042513807,0.0003401674,0.00017610072,0.0004197809],"domain_scores_gemma":[0.99779177,0.00039100522,0.00007198686,0.0015292166,0.0000978369,0.000118212345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025057263,0.0002552255,0.00029469188,0.00016530501,0.00045791036,0.000026371397,0.0013620697,0.00019388995,0.0000144466385],"category_scores_gemma":[0.000024035382,0.00029503656,0.00007736649,0.0005824326,0.00014871097,0.0004330104,0.00017094535,0.0005352012,0.000006544584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031678625,0.000099121266,0.00017905231,0.00005118862,0.000024138395,0.000001692855,0.00047672202,0.9911623,0.00031753923,0.00023485151,0.0002868931,0.0071348287],"study_design_scores_gemma":[0.0009253842,0.000014621733,0.00025314692,0.00018841535,0.000014511277,0.0000059969966,0.00012345487,0.9938905,0.000057244095,0.000033706583,0.0041708443,0.0003221641],"about_ca_topic_score_codex":0.000017381135,"about_ca_topic_score_gemma":0.00009789568,"teacher_disagreement_score":0.79516643,"about_ca_system_score_codex":0.00013315464,"about_ca_system_score_gemma":0.000080819584,"threshold_uncertainty_score":0.9999502},"labels":[],"label_agreement":null},{"id":"W1982889676","doi":"10.1007/s11277-009-9911-0","title":"Diversity Analysis of Relay Selection Schemes for Two-Way Wireless Relay Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Saskatchewan","funders":"","keywords":"Relay; Computer science; Relay channel; Cooperative diversity; Wireless network; Computer network; Fading; Wireless; Selection (genetic algorithm); Diversity combining; Channel (broadcasting); Telecommunications; Artificial intelligence; Power (physics)","score_opus":0.044350301770009745,"score_gpt":0.3079460635567898,"score_spread":0.26359576178678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982889676","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":[0.4108151,0.00044963023,0.5850703,0.0021588914,0.00018739187,0.0003494864,0.000019475548,0.00019143565,0.0007582599],"genre_scores_gemma":[0.96914387,0.00065451366,0.02956845,0.00018550322,0.00004736273,0.000086492415,0.000094606185,0.000014984687,0.00020423128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982723,0.000301015,0.0004414566,0.00039533977,0.0002820592,0.00030782697],"domain_scores_gemma":[0.99558836,0.0009362634,0.0003404769,0.002241103,0.0007639694,0.00012984141],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00089306507,0.0002092009,0.00041098552,0.0003940716,0.002805674,0.00009208643,0.0035687978,0.00014436539,0.00003966725],"category_scores_gemma":[0.00008063834,0.00022211204,0.00034657822,0.002586252,0.0003250517,0.00045689882,0.0032608926,0.00074471836,0.0000039078523],"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":[0.000059893413,0.0007868737,0.047003184,0.000025121233,0.0017946364,5.289516e-7,0.009804593,0.0056418115,0.018556323,0.7993057,0.0008551123,0.116166234],"study_design_scores_gemma":[0.00041751275,0.00003883598,0.010268149,0.000020111425,0.0002442452,0.0000025709448,0.00009724518,0.9833987,0.00043934508,0.00006401796,0.0047582663,0.00025104498],"about_ca_topic_score_codex":0.00009432115,"about_ca_topic_score_gemma":0.003455201,"teacher_disagreement_score":0.97775686,"about_ca_system_score_codex":0.0000745411,"about_ca_system_score_gemma":0.00009868648,"threshold_uncertainty_score":0.99849254},"labels":[],"label_agreement":null},{"id":"W1983112888","doi":"10.1007/s11277-014-1627-0","title":"User Preference Heterogeneous Network Selection in Less Subjective Ways","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Preference; Selection (genetic algorithm); Similarity (geometry); Function (biology); Order (exchange); Scheme (mathematics); Ideal solution; Operations research; Artificial intelligence","score_opus":0.07923376630701882,"score_gpt":0.2949037195184584,"score_spread":0.21566995321143956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983112888","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":[0.3054126,0.0013850646,0.67188036,0.005655984,0.00019799857,0.0010180108,0.000008672327,0.00072545203,0.013715897],"genre_scores_gemma":[0.975432,0.0006252581,0.02300444,0.0002740468,0.00009128893,0.0003470301,0.000027855967,0.00003240037,0.00016568722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99637395,0.0013403941,0.00048799286,0.00056835933,0.00052979356,0.0006994878],"domain_scores_gemma":[0.995423,0.0012059936,0.0001917711,0.0026490453,0.00035072476,0.0001794428],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0012066148,0.0002697978,0.0003375494,0.00025262203,0.00082262047,0.0002931297,0.005907646,0.00018112353,0.00001888215],"category_scores_gemma":[0.000091742724,0.0002927213,0.000110485154,0.001799319,0.00029640546,0.00063399185,0.0021732976,0.0010623322,0.000085725675],"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":[0.000060674258,0.0008390011,0.03931552,0.00004167992,0.00010054215,0.000003084675,0.004853158,0.025141988,0.0010124935,0.74874705,0.0011845259,0.17870027],"study_design_scores_gemma":[0.00048209765,0.00008560784,0.040488996,0.000103366736,0.000005696836,0.000026985817,0.00009629891,0.9470798,0.00016843401,0.0039931308,0.0070738867,0.00039569798],"about_ca_topic_score_codex":0.00045617734,"about_ca_topic_score_gemma":0.004888384,"teacher_disagreement_score":0.9219378,"about_ca_system_score_codex":0.00030940675,"about_ca_system_score_gemma":0.00020557137,"threshold_uncertainty_score":0.9999525},"labels":[],"label_agreement":null},{"id":"W1984241522","doi":"10.1007/s11277-006-9190-y","title":"BER Analysis of Equalized OFDM Systems in Nakagami, m  &lt;  1 Fading","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Orthogonal frequency-division multiplexing; Fading; Electronic engineering; Bit error rate; Rayleigh fading; HiperLAN; Multipath propagation; Nakagami distribution; Phase-shift keying; Digital audio broadcasting; Quadrature amplitude modulation; Telecommunications; Channel (broadcasting); Wireless; Engineering","score_opus":0.025549493804482497,"score_gpt":0.28403479929480874,"score_spread":0.2584853054903262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984241522","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":[0.87889904,0.017087793,0.06929076,0.0003790924,0.00010452724,0.00080874935,0.000295127,0.0014630936,0.031671807],"genre_scores_gemma":[0.99177223,0.0012311368,0.006265164,0.000012753422,0.000012579323,0.00022592697,0.00032940024,0.000046236644,0.00010458879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983379,0.00020690633,0.00076161633,0.00017735032,0.00025466588,0.0002615494],"domain_scores_gemma":[0.99727684,0.00048443372,0.00017453523,0.0018730774,0.0001447303,0.00004640277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034412192,0.00020740891,0.0005569297,0.000863033,0.0001281635,0.000032473108,0.001256825,0.00013188046,0.000025838066],"category_scores_gemma":[0.000021791984,0.000242863,0.00018267802,0.0020970185,0.0002062339,0.00021508704,0.00022665747,0.0003589342,0.000006922787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038860242,0.0009172512,0.030679967,0.00040143466,0.001777304,0.0000048895117,0.005807994,0.43533552,0.13724963,0.37469688,0.0011131708,0.0119771],"study_design_scores_gemma":[0.00036180945,0.000011051709,0.012972006,0.00014647399,0.00020564524,0.0000020876535,0.00068803976,0.9788113,0.0015464164,0.0004080299,0.004461812,0.00038528434],"about_ca_topic_score_codex":0.00097251235,"about_ca_topic_score_gemma":0.0016207004,"teacher_disagreement_score":0.5434758,"about_ca_system_score_codex":0.00023507193,"about_ca_system_score_gemma":0.00002583202,"threshold_uncertainty_score":0.9903665},"labels":[],"label_agreement":null},{"id":"W1984252660","doi":"10.1007/s11277-014-1615-4","title":"Variable Cyclic Prefix for Contention-Based Wireless Access in OFDM-Based Vehicular Communication Systems","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Handshaking; Computer science; Cyclic prefix; Computer network; Multipath propagation; Network packet; Wireless; Carrier sense multiple access with collision avoidance; Orthogonal frequency-division multiplexing; Transmission (telecommunications); Fading; Real-time computing; Telecommunications; Channel (broadcasting); Throughput","score_opus":0.02650479128932431,"score_gpt":0.2684424663623827,"score_spread":0.2419376750730584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984252660","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":[0.05870498,0.001487204,0.9343256,0.00073919835,0.00024200708,0.0017035035,0.00012745099,0.00072228786,0.0019477821],"genre_scores_gemma":[0.96897393,0.00023186262,0.02673606,0.00016619284,0.00005691933,0.0020343636,0.0016109429,0.00013023132,0.00005952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977022,0.00042031365,0.00073272205,0.00035438917,0.000298118,0.0004922688],"domain_scores_gemma":[0.99577916,0.0014348094,0.0002343411,0.0020588005,0.00036389925,0.00012900578],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000703275,0.00036054922,0.00050501985,0.0003204891,0.00041475566,0.00021569339,0.0018094007,0.00025979796,0.00001040811],"category_scores_gemma":[0.00009485717,0.00042765005,0.00013595405,0.0008416764,0.00021626987,0.0005113183,0.00014866394,0.00050177437,0.000010534344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035733385,0.0001827248,0.001774723,0.00024513426,0.000040344046,1.822908e-7,0.000117591946,0.96890676,0.001293094,0.025422052,0.00026276155,0.0017189082],"study_design_scores_gemma":[0.0017156388,0.000032648928,0.0007720039,0.000531326,0.00004466064,0.0000011919312,0.00011724529,0.991262,0.000274684,0.00034976786,0.004450607,0.0004482364],"about_ca_topic_score_codex":0.00021198747,"about_ca_topic_score_gemma":0.00049327745,"teacher_disagreement_score":0.9102689,"about_ca_system_score_codex":0.00038635943,"about_ca_system_score_gemma":0.00010765196,"threshold_uncertainty_score":0.99981755},"labels":[],"label_agreement":null},{"id":"W1984263447","doi":"10.1007/s11277-013-1352-0","title":"Multi-hop Multi-band Intelligent Relay-Based Architecture for LTE-Advanced Multi-hop Wireless Cellular Networks","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Dublin City University; Enterprise Ireland","keywords":"Computer science; Hop (telecommunications); Cognitive radio; Computer network; Relay; Default gateway; Cellular network; Wireless; Radio resource management; Radio spectrum; Wireless network; Telecommunications","score_opus":0.030086673177099853,"score_gpt":0.2668689985607339,"score_spread":0.23678232538363408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984263447","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":[0.025912598,0.0031348823,0.9668852,0.0003815347,0.00036296717,0.0023827404,0.00012510899,0.0007529596,0.00006201757],"genre_scores_gemma":[0.71091384,0.00038511908,0.28578067,0.00010276232,0.000070899674,0.001646948,0.0006066021,0.00018746805,0.00030572046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754703,0.00018368458,0.0007896984,0.00053045293,0.00022446772,0.00072465854],"domain_scores_gemma":[0.9966055,0.00057464716,0.0002360318,0.00182292,0.00048079106,0.00028011575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024356849,0.0005842759,0.00057158916,0.00023937527,0.0006592451,0.00012747994,0.0012566741,0.00035855116,0.000041095387],"category_scores_gemma":[0.00008186902,0.00062453886,0.00028400452,0.00048692766,0.000273635,0.00034932737,0.00015282347,0.0008719277,0.00006911051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025255624,0.00032753008,0.00019475426,0.00017574376,0.00010537147,0.0000011459648,0.0019199507,0.9437575,0.037929114,0.00009571151,0.00018252408,0.015285395],"study_design_scores_gemma":[0.0020684458,0.00004366938,0.00015825684,0.00024816307,0.000050633862,0.000004224257,0.0010257318,0.9889423,0.004753093,0.00000919044,0.0020101024,0.00068613613],"about_ca_topic_score_codex":0.00013972854,"about_ca_topic_score_gemma":0.000703969,"teacher_disagreement_score":0.68500125,"about_ca_system_score_codex":0.00034211078,"about_ca_system_score_gemma":0.000066895016,"threshold_uncertainty_score":0.9996206},"labels":[],"label_agreement":null},{"id":"W1985356180","doi":"10.1007/s11277-005-8314-0","title":"Analysis of Sub-Carrier Multiplexed Radio Over Fiber Link for the Simultaneous Support of WLAN and WCDMA Systems","year":2005,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Telecommunications link; Radio over fiber; Base station; Throughput; Code division multiple access; Cellular network; Wi-Fi; Wireless; Wireless network; Telecommunications","score_opus":0.029686383468537064,"score_gpt":0.2947097893073672,"score_spread":0.2650234058388301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985356180","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":[0.5068251,0.01880737,0.40700814,0.02980745,0.00048775563,0.031687636,0.0028022865,0.000515579,0.002058686],"genre_scores_gemma":[0.9940009,0.00021320352,0.0044007353,0.000095541305,0.00006404377,0.0009605521,0.00004355123,0.00001275187,0.00020872602],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986846,0.00015437733,0.000464505,0.00023347525,0.00025257398,0.00021048203],"domain_scores_gemma":[0.9951988,0.0025843682,0.00031468755,0.0015633646,0.00026190828,0.00007688822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005188262,0.00014763713,0.00040475072,0.00013604078,0.00030338232,0.00007705997,0.0015672289,0.00009452169,0.00001849256],"category_scores_gemma":[0.00004402848,0.00011420067,0.00021446704,0.0006485274,0.00027866024,0.0001603048,0.00034558194,0.00017266293,0.0000014610191],"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":[0.0004553536,0.0013692555,0.027145412,0.00071904593,0.009709642,0.0000057720504,0.04184167,0.18523635,0.018137839,0.13187352,0.0052023507,0.5783038],"study_design_scores_gemma":[0.0003984256,0.000055717184,0.0028308423,0.00002883758,0.0002203285,0.000003604918,0.00009435545,0.96662647,0.00012864154,0.000014733167,0.029466622,0.00013140887],"about_ca_topic_score_codex":0.00019283706,"about_ca_topic_score_gemma":0.0003419244,"teacher_disagreement_score":0.78139013,"about_ca_system_score_codex":0.000031381787,"about_ca_system_score_gemma":0.000081418984,"threshold_uncertainty_score":0.46569684},"labels":[],"label_agreement":null},{"id":"W1986252394","doi":"10.1007/s11277-013-1182-0","title":"Precoder Design for BICM-MIMO Systems Under Channel Estimation Error","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Pairwise error probability; Computer science; Coding gain; Diversity gain; Channel state information; MIMO; Algorithm; Channel (broadcasting); Coding (social sciences); Estimator; Mean squared error; Imperfect; Control theory (sociology); Telecommunications; Decoding methods; Statistics; Wireless; Mathematics; Artificial intelligence","score_opus":0.0751443267613153,"score_gpt":0.3023661863296805,"score_spread":0.2272218595683652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986252394","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":[0.0036251447,0.002170543,0.9878643,0.0013293774,0.00012839062,0.0019528111,0.000053122218,0.0015037362,0.0013725545],"genre_scores_gemma":[0.86825436,0.00065516325,0.1251797,0.00007919474,0.00003274181,0.005167198,0.00020734113,0.00010120149,0.0003231059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986318,0.00015818683,0.00045917908,0.00021514758,0.00018644954,0.00034923336],"domain_scores_gemma":[0.9969667,0.00070903415,0.0001230047,0.0017715645,0.00031384098,0.00011581509],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025969962,0.00027308182,0.0002884275,0.00018274918,0.00046972814,0.00013687389,0.0013055638,0.00017303639,0.000038789713],"category_scores_gemma":[0.000040993375,0.00029791013,0.000101297715,0.00028635547,0.00017370658,0.00061309617,0.00017799396,0.0003430647,0.00011387386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028267697,0.0004526843,0.000048108894,0.0005517167,0.00039405486,2.7385028e-7,0.004567766,0.83518386,0.01936025,0.06345772,0.0277342,0.048221093],"study_design_scores_gemma":[0.00024118593,0.000031387357,0.00015341498,0.00010516735,0.000022579641,0.000006059084,0.0007456095,0.9909067,0.0012908969,0.003805713,0.0023472162,0.0003440491],"about_ca_topic_score_codex":0.00009060149,"about_ca_topic_score_gemma":0.000024258323,"teacher_disagreement_score":0.8646292,"about_ca_system_score_codex":0.00022555143,"about_ca_system_score_gemma":0.000044644625,"threshold_uncertainty_score":0.9999473},"labels":[],"label_agreement":null},{"id":"W1986919301","doi":"10.1007/s11277-009-9663-x","title":"Bit-Error Probability of Asynchronous Multicode DS-CDMA Systems in Rayleigh Fading","year":2009,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","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":"University of Alberta","funders":"","keywords":"Rayleigh fading; Code division multiple access; Fading; Computer science; Algorithm; Additive white Gaussian noise; Spread spectrum; Bit error rate; Channel (broadcasting); Telecommunications; Decoding methods","score_opus":0.07558262200724127,"score_gpt":0.3314371431158143,"score_spread":0.25585452110857304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986919301","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":[0.8333128,0.0097928895,0.12098019,0.019979032,0.00027336317,0.002951377,0.000050706443,0.0006871528,0.011972453],"genre_scores_gemma":[0.9722444,0.000456253,0.026922543,0.000086742824,0.000025453284,0.0001648646,0.000026328364,0.000017429824,0.000055988203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99637324,0.0010922413,0.0008604904,0.00048644986,0.00063457555,0.00055301463],"domain_scores_gemma":[0.9932528,0.0010046515,0.00030112415,0.0048431447,0.00042674344,0.00017150496],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0014205787,0.00025423325,0.00049301493,0.00038507578,0.0004143633,0.00017649446,0.0067700497,0.00016772331,0.000010841646],"category_scores_gemma":[0.000155966,0.00026378792,0.00013976778,0.001520357,0.00042766417,0.0006455408,0.0012839759,0.0008483604,0.000027380898],"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":[0.00008968077,0.004947242,0.019724749,0.00030208757,0.00013411693,0.000014231273,0.023870016,0.019306144,0.016829656,0.7580956,0.00052396196,0.1561625],"study_design_scores_gemma":[0.0006406005,0.00010102066,0.027567895,0.00025414562,0.0000063246453,0.000015761132,0.00039943116,0.9682814,0.0002501583,0.0013364642,0.00083024264,0.0003165402],"about_ca_topic_score_codex":0.00066466525,"about_ca_topic_score_gemma":0.00041816095,"teacher_disagreement_score":0.94897527,"about_ca_system_score_codex":0.00039369246,"about_ca_system_score_gemma":0.00033548815,"threshold_uncertainty_score":0.9999814},"labels":[],"label_agreement":null},{"id":"W1990063189","doi":"10.1007/s11277-006-9096-8","title":"Dropping Rate Reduction in Hybrid WLAN/Cellular Systems by Mobile Ad Hoc Relaying","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Computer network; Reduction (mathematics); Mobile ad hoc network; Vehicular ad hoc network; Wireless ad hoc network; Telecommunications; Wireless","score_opus":0.015193458017372059,"score_gpt":0.23754112650882356,"score_spread":0.2223476684914515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990063189","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":[0.7170056,0.05165875,0.22358157,0.0018697764,0.000748956,0.0013024826,0.00003353315,0.0006164018,0.0031829162],"genre_scores_gemma":[0.9948334,0.000960386,0.002702781,0.00004282993,0.00008205809,0.0005061323,0.00015540501,0.000028106735,0.0006888711],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99778944,0.00052867574,0.0005192785,0.00046604214,0.000281339,0.00041523395],"domain_scores_gemma":[0.9974283,0.00022061916,0.00023226709,0.0019267575,0.00011058499,0.000081493345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007185687,0.00021239014,0.00026758914,0.00015416353,0.0005240849,0.00027389452,0.00206761,0.000093997536,0.000005604796],"category_scores_gemma":[0.000009343487,0.00024320644,0.00008595567,0.0006678601,0.00015263287,0.0005824138,0.00055350066,0.00056696124,0.000033478555],"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":[0.00009364,0.0035073624,0.004121111,0.00043015162,0.00027445654,0.00018421016,0.013775517,0.050560713,0.5369778,0.20061094,0.05446441,0.13499969],"study_design_scores_gemma":[0.0004137499,0.000046132664,0.00018535914,0.00020399458,0.000010604815,0.000073624135,0.0005845504,0.97335654,0.0007362599,0.0002292259,0.023763174,0.00039677264],"about_ca_topic_score_codex":0.0004818021,"about_ca_topic_score_gemma":0.00008606704,"teacher_disagreement_score":0.92279583,"about_ca_system_score_codex":0.00030083375,"about_ca_system_score_gemma":0.00009088825,"threshold_uncertainty_score":0.99176705},"labels":[],"label_agreement":null},{"id":"W1991755370","doi":"10.1007/s11277-008-9542-x","title":"On Achievable Data Rates and Optimal Power Allocation in Fading Channels with Imperfect Channel State Information","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Fading; Channel state information; Computer science; Channel (broadcasting); Transmitter; Fading distribution; Algorithm; Code rate; Transmitter power output; Wireless; Telecommunications; Rayleigh fading; Decoding methods","score_opus":0.032840620174079994,"score_gpt":0.272748806403798,"score_spread":0.23990818622971802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991755370","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":[0.9518425,0.0009180063,0.04339627,0.0008034617,0.00004105717,0.00064315955,0.00012867557,0.0006571242,0.0015697521],"genre_scores_gemma":[0.9867007,0.00427168,0.008071634,0.000092727256,0.000006871503,0.00018352542,0.00061019935,0.00004015943,0.000022461083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989104,0.00009448703,0.0003371935,0.00019172332,0.00019986005,0.0002663008],"domain_scores_gemma":[0.997644,0.0002742484,0.000095340685,0.0018124288,0.00009857594,0.000075384945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027288415,0.00022877903,0.00022487977,0.0002994874,0.00037817348,0.00006131298,0.0011259989,0.000079181234,0.000007236997],"category_scores_gemma":[0.000037678263,0.00023221214,0.000019356146,0.00041590817,0.00023093598,0.001661807,0.00040690132,0.000501857,0.000016473647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093198207,0.0015604129,0.0061899903,0.0007177353,0.0007082613,0.000026115693,0.15707198,0.7056726,0.018206613,0.03281315,0.0049066693,0.071194485],"study_design_scores_gemma":[0.0008029232,0.00015303168,0.003526308,0.0002532319,0.000010750413,0.000055093198,0.00117589,0.9888566,0.002663633,0.0002493345,0.0017118766,0.00054131745],"about_ca_topic_score_codex":0.000082667204,"about_ca_topic_score_gemma":0.00010227932,"teacher_disagreement_score":0.283184,"about_ca_system_score_codex":0.00013194681,"about_ca_system_score_gemma":0.00004667674,"threshold_uncertainty_score":0.9469336},"labels":[],"label_agreement":null},{"id":"W1992896103","doi":"10.1007/s11277-011-0230-x","title":"Enhanced Multi-mode Transmission by User Scheduling in MISO Broadcast Channels with Finite-Rate Feedback","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Beamforming; Scheduling (production processes); Transmission (telecommunications); Interference (communication); Control theory (sociology); Mode (computer interface); Transmission rate; Mathematical optimization; Real-time computing; Telecommunications; Mathematics; Channel (broadcasting); Artificial intelligence","score_opus":0.03364321070220713,"score_gpt":0.25864353883423913,"score_spread":0.225000328132032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992896103","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":[0.1208972,0.0012298289,0.8758085,0.00008468682,0.00005650616,0.0003963948,0.000033575405,0.00027408957,0.0012192501],"genre_scores_gemma":[0.9240949,0.00076057215,0.074538395,0.000026299149,0.000013038373,0.00016228738,0.00011830043,0.00007618819,0.00021001733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892664,0.00010071939,0.00033297503,0.00022986972,0.000107086045,0.0003027105],"domain_scores_gemma":[0.99895763,0.000111794405,0.00007245048,0.0006594221,0.00009319839,0.000105487445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001250561,0.0002399717,0.00024495696,0.00012660031,0.00017751746,0.00002908273,0.00051814585,0.00012817935,0.000040770017],"category_scores_gemma":[0.000012947626,0.00024340939,0.00004502942,0.00038836425,0.000083107436,0.00036822725,0.000048626167,0.00039259123,0.000031163567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012610796,0.0005384117,0.0005855191,0.00021800221,0.000106600084,0.000003905405,0.04187667,0.76509523,0.18107438,0.00040396437,0.00006452066,0.009906701],"study_design_scores_gemma":[0.0010822315,0.000032889544,0.00018299404,0.0003790244,0.000014869379,0.0000032825403,0.0014796938,0.97914195,0.016735116,0.000012206519,0.0005547803,0.00038097572],"about_ca_topic_score_codex":0.00018093553,"about_ca_topic_score_gemma":0.00025294695,"teacher_disagreement_score":0.8031977,"about_ca_system_score_codex":0.00011205286,"about_ca_system_score_gemma":0.000030552794,"threshold_uncertainty_score":0.9925947},"labels":[],"label_agreement":null},{"id":"W1993109716","doi":"10.1023/b:wire.0000033598.70758.14","title":"CMA-Based Channel Estimation for Space-Time Block Coding Transmission Systems","year":2004,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Algorithm; Channel (broadcasting); Constant (computer programming); Coding (social sciences); Convergence (economics); Space–time block code; Mathematical optimization; Block (permutation group theory); Transmission (telecommunications); Block code; Decoding methods; Mathematics; Telecommunications; Statistics","score_opus":0.025238818513274627,"score_gpt":0.2712322863701911,"score_spread":0.24599346785691645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993109716","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":[0.006827405,0.0020431727,0.98391384,0.002997011,0.00007241815,0.0010945533,0.00010612777,0.0019244304,0.0010210408],"genre_scores_gemma":[0.90498877,0.0005945036,0.09297847,0.000055389297,0.000028949731,0.00085941417,0.00033983024,0.00009225294,0.0000624509],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875414,0.00007387189,0.0004214463,0.00021199413,0.00022166179,0.00031686798],"domain_scores_gemma":[0.9977299,0.00047247377,0.000113542024,0.0013748123,0.00018332295,0.0001259536],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002543916,0.00027155457,0.0003074067,0.00020954049,0.0005858404,0.00007845571,0.0010410667,0.00016909224,0.0000064440146],"category_scores_gemma":[0.00003794882,0.00030970603,0.0001380376,0.0003313258,0.00015527687,0.00027850817,0.000075539436,0.0003509824,0.000030650597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003259921,0.0002494557,0.000005599195,0.00041807583,0.00007771147,6.838718e-7,0.0017234504,0.9149504,0.04691386,0.02306626,0.0006912771,0.011870634],"study_design_scores_gemma":[0.0006965952,0.000043669937,0.000017580114,0.00042451618,0.000030616717,0.000007047976,0.00016750387,0.9795945,0.012316624,0.0009445576,0.005404624,0.0003521536],"about_ca_topic_score_codex":0.000039360566,"about_ca_topic_score_gemma":0.00000954247,"teacher_disagreement_score":0.89816135,"about_ca_system_score_codex":0.00037055652,"about_ca_system_score_gemma":0.000082428254,"threshold_uncertainty_score":0.9999355},"labels":[],"label_agreement":null},{"id":"W1993843131","doi":"10.1007/s11277-010-0097-2","title":"Characterization of the Ultra-Wideband Channel in Confined Environments with Diffracting Rough Surfaces","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Non-line-of-sight propagation; Computer science; Delay spread; Path loss; Multipath propagation; Channel (broadcasting); Wideband; Fading; Telecommunications; Ultra-wideband; Wireless; Communications system; Electronic engineering; Engineering","score_opus":0.010787069183170657,"score_gpt":0.20784852817039998,"score_spread":0.19706145898722932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993843131","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":[0.99595433,0.00008772415,0.0007455321,0.0013087385,0.000054056312,0.00026454762,0.000034559245,0.00009170454,0.0014588127],"genre_scores_gemma":[0.9989099,0.00039697168,0.00035754836,0.000035000674,0.000007669713,0.000112142785,0.0000746547,0.0000312915,0.0000748165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991657,0.000077153374,0.00029700965,0.00012650056,0.00014665388,0.00018695976],"domain_scores_gemma":[0.9980315,0.00023005242,0.00012631943,0.0015513016,0.00003125609,0.000029559571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014225976,0.00015195391,0.00018784017,0.00009410447,0.000209214,0.00001985042,0.0012567884,0.00012985872,0.000021284484],"category_scores_gemma":[0.000034377274,0.00012509004,0.000042114112,0.00038395028,0.00047647933,0.00016840026,0.00011104388,0.0007435129,0.000005268598],"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":[0.0000069257435,0.00012269395,0.012977843,0.000014269417,0.000032669806,1.5780826e-7,0.0019404035,0.00030273185,0.98162603,0.0016320528,0.000003964498,0.0013402614],"study_design_scores_gemma":[0.0023351929,0.000092202106,0.40272897,0.00039528648,0.00011284925,0.0000657218,0.0030112443,0.10124925,0.47633493,0.00049567013,0.01208021,0.0010984659],"about_ca_topic_score_codex":0.00010222223,"about_ca_topic_score_gemma":0.0014688584,"teacher_disagreement_score":0.5052911,"about_ca_system_score_codex":0.000044518503,"about_ca_system_score_gemma":0.000027492073,"threshold_uncertainty_score":0.5101024},"labels":[],"label_agreement":null},{"id":"W1995883372","doi":"10.1007/s11277-013-1470-8","title":"Cumulant Analysis of Dual Sequential Ratio Testing for Cognitive Radio Spectrum Sensing","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Cognitive radio; Computer science; Dual (grammatical number); Cumulant; Channel (broadcasting); Sequential probability ratio test; Wireless; Algorithm; Real-time computing; Telecommunications; Statistics","score_opus":0.05665380260930286,"score_gpt":0.29597891716317387,"score_spread":0.239325114553871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995883372","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":[0.29936516,0.00020929534,0.69697,0.001816808,0.00007534797,0.00045183828,0.000047219997,0.00010171773,0.00096265145],"genre_scores_gemma":[0.9464299,0.000026409034,0.053148035,0.00012964489,0.000083299085,0.000019395118,0.00010616352,0.000015230672,0.00004189428],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984298,0.00020522198,0.0004156186,0.00035144357,0.00024835728,0.00034956067],"domain_scores_gemma":[0.9964273,0.0019163156,0.0002713833,0.00073430693,0.00055055215,0.00010011467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032261378,0.00018349027,0.0004086966,0.00034284304,0.0005912391,0.00021324321,0.0005776738,0.00006388381,0.000015897042],"category_scores_gemma":[0.00013931777,0.00019134805,0.00026002395,0.0015722695,0.00024109261,0.00037574206,0.00032610117,0.00022520033,0.0000072891235],"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":[0.00011349184,0.0012350606,0.013342611,0.00014314256,0.010682896,0.00003646876,0.03345019,0.0043383134,0.105888344,0.23213789,0.00077185995,0.59785974],"study_design_scores_gemma":[0.00033741316,0.00006904478,0.008241228,0.000069883055,0.000391805,0.000024363137,0.0004661441,0.98830384,0.0010624013,0.00077453913,0.00003447355,0.00022484559],"about_ca_topic_score_codex":0.0007006062,"about_ca_topic_score_gemma":0.00051101315,"teacher_disagreement_score":0.9839656,"about_ca_system_score_codex":0.00007876236,"about_ca_system_score_gemma":0.00013606728,"threshold_uncertainty_score":0.7802947},"labels":[],"label_agreement":null},{"id":"W1995960976","doi":"10.1007/s11277-005-0568-z","title":"Mobile Network Evolution – “The Return of the Pipe”","year":2005,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Computer science; Radio access network; Network architecture; Computer network; Flexibility (engineering); Distributed computing; Core network; Network packet; Heterogeneous network; Cellular network; Public land mobile network; Mobile telephony; Telecommunications; Wireless network; Mobile radio; Mobile station; Wireless","score_opus":0.01249626624006557,"score_gpt":0.22972954426084188,"score_spread":0.2172332780207763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995960976","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":[0.92121756,0.043556,0.00703372,0.0037658901,0.0013597314,0.001883801,0.00013370166,0.00064285594,0.020406764],"genre_scores_gemma":[0.9979199,0.0005825177,0.00066291617,0.00009851607,0.0003099677,0.00016192946,0.000018766797,0.000029246785,0.00021624674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987959,0.00022457242,0.00031810405,0.00012975889,0.00024774976,0.00028389876],"domain_scores_gemma":[0.9976376,0.00025259788,0.00009017137,0.0018722436,0.0001018694,0.00004547111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004510317,0.00015372051,0.00017479937,0.000022829749,0.0005018091,0.000025867568,0.0014273004,0.00011044886,0.00004931183],"category_scores_gemma":[0.000019084186,0.00011453657,0.00015809824,0.00044482868,0.00040991962,0.000125436,0.00035002956,0.000621632,0.000021395164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018776827,0.0019481899,0.0539484,0.0005785832,0.0011723016,0.0000012923272,0.064556114,0.4928967,0.013216054,0.122129366,0.11580422,0.13356102],"study_design_scores_gemma":[0.00042986608,0.00003296325,0.017358812,0.00012259009,0.000102378544,0.000013469115,0.00086940796,0.82688886,0.00038601187,0.0014026691,0.15206552,0.0003274778],"about_ca_topic_score_codex":0.0000759962,"about_ca_topic_score_gemma":0.0014851784,"teacher_disagreement_score":0.33399212,"about_ca_system_score_codex":0.00022286699,"about_ca_system_score_gemma":0.00004625992,"threshold_uncertainty_score":0.4670666},"labels":[],"label_agreement":null},{"id":"W1996337376","doi":"10.1007/s11277-009-9847-4","title":"Antenna Array Designs for OFDM WLAN Indoor Transmission","year":2009,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Antenna Design and Analysis","field":"Engineering","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 Calgary","funders":"","keywords":"Computer science; Space-division multiple access; Orthogonal frequency-division multiplexing; Antenna array; Antenna (radio); Interference (communication); Transmission (telecommunications); Wireless; Electronic engineering; Telecommunications; Computer network; Real-time computing; Channel (broadcasting); Base station; Engineering","score_opus":0.045840241250431304,"score_gpt":0.2748156890697277,"score_spread":0.2289754478192964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996337376","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":[0.007061579,0.002329428,0.9835914,0.0038686646,0.000031050393,0.0002211937,0.00006109632,0.000371194,0.002464421],"genre_scores_gemma":[0.98296773,0.0011541297,0.014940871,0.00025024367,0.00004082787,0.000037711183,0.0001297556,0.000025558295,0.0004531412],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992408,0.000048114747,0.0002174284,0.0001415758,0.00011791026,0.000234165],"domain_scores_gemma":[0.9990854,0.00012324884,0.000029789879,0.0005593403,0.00009550388,0.000106695195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012215837,0.00015320632,0.00020710503,0.0000913159,0.0002985151,0.000039522474,0.0004922368,0.00008605822,0.00004057749],"category_scores_gemma":[0.0000101877,0.00015096251,0.0001858303,0.00027156295,0.00006262145,0.000107280226,0.000011152935,0.00020654708,0.000036526424],"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":[0.000020569945,0.00013607269,0.00009705246,0.000031202093,0.00009074242,0.0000014635717,0.0015437059,0.000017058162,0.9749251,0.002705116,0.0005777187,0.01985422],"study_design_scores_gemma":[0.00064053835,0.000077339515,0.0013107393,0.000109747,0.0001337256,0.000014151074,0.0008253576,0.9770517,0.00327913,0.0014872751,0.014636069,0.00043427642],"about_ca_topic_score_codex":0.0000049905166,"about_ca_topic_score_gemma":0.000014309208,"teacher_disagreement_score":0.97703457,"about_ca_system_score_codex":0.000043779975,"about_ca_system_score_gemma":0.000035004425,"threshold_uncertainty_score":0.61560726},"labels":[],"label_agreement":null},{"id":"W1996440628","doi":"10.1007/s11277-006-9219-2","title":"Scheduling Algorithms and Throughput Maximization for the Downlink of Packet-Data Cellular Systems with Multiple Antennas at the Base Station","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":11,"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 Alberta","funders":"","keywords":"Computer science; Base station; MIMO; Transmitter power output; Scheduling (production processes); Telecommunications link; Network packet; Spectral efficiency; Transmitter; Computer network; Algorithm; Channel (broadcasting); Mathematical optimization; Mathematics","score_opus":0.03419804185072944,"score_gpt":0.24795921617788172,"score_spread":0.21376117432715228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996440628","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":[0.053027887,0.009656528,0.9349381,0.000651241,0.00007092636,0.0009195297,0.0005363882,0.00011713454,0.000082287756],"genre_scores_gemma":[0.9669931,0.0016472331,0.029007621,0.000013593396,0.000071847644,0.00018296274,0.0019918971,0.00005136527,0.000040377625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896204,0.000101434045,0.00031445024,0.00020059006,0.00023323412,0.00018825047],"domain_scores_gemma":[0.99732345,0.000930403,0.00016250473,0.0012965583,0.00025964458,0.000027460412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040032525,0.0001673956,0.00017287485,0.00004135218,0.00065437553,0.000061413884,0.00060075737,0.00006605362,0.0000027986957],"category_scores_gemma":[0.000032750486,0.000113926944,0.00002966224,0.00028203355,0.00028904268,0.00027860576,0.00019386066,0.00016826845,0.0000011482902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023289966,0.000032003936,0.0008637717,0.00007077979,0.00006278073,1.6327927e-7,0.00043570693,0.9924922,0.0013730433,0.0015847319,0.00013004792,0.0029314961],"study_design_scores_gemma":[0.0005657758,0.00001523739,0.0005458521,0.00007993022,0.000099278535,0.000005740223,0.0011628813,0.99622405,0.0003178734,0.00005215539,0.0007866547,0.0001445994],"about_ca_topic_score_codex":0.00017893958,"about_ca_topic_score_gemma":0.0008652671,"teacher_disagreement_score":0.9139652,"about_ca_system_score_codex":0.0000837731,"about_ca_system_score_gemma":0.000030209623,"threshold_uncertainty_score":0.50329936},"labels":[],"label_agreement":null},{"id":"W1998452313","doi":"10.1007/s11277-014-2269-y","title":"Performance Analysis of MIMO Schemes in 3GPP Long Term Evolution System","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; MIMO; Term (time); Throughput; LTE Advanced; Channel (broadcasting); Algorithm; Telecommunications; Wireless; Telecommunications link","score_opus":0.029712280379908973,"score_gpt":0.26271049943653335,"score_spread":0.23299821905662438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998452313","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":[0.9197235,0.0017698384,0.07551877,0.000027044287,0.00007062958,0.00019879668,0.000028003511,0.0001969208,0.0024664875],"genre_scores_gemma":[0.9953721,0.00012515447,0.004238648,0.0000018210353,0.000012754102,0.00006414225,0.00013041224,0.000020609326,0.00003434875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991422,0.00006720834,0.00037008512,0.00011493739,0.00015384976,0.00015168052],"domain_scores_gemma":[0.9989079,0.00004499582,0.000093941766,0.0007300556,0.00016284593,0.000060236038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022697855,0.00011698431,0.00027911484,0.0004397509,0.0000630195,0.0000112973385,0.0004118515,0.0000742876,0.0000032061164],"category_scores_gemma":[0.00001662779,0.00013286278,0.000066752145,0.0012993438,0.00007411115,0.00026772273,0.00007652178,0.00015471359,0.000009056183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017178085,0.00009884478,0.32974663,0.00038868282,0.00045221896,9.883515e-7,0.003914742,0.65706307,0.0020639088,0.0026850747,0.000024296152,0.0035443883],"study_design_scores_gemma":[0.00022040731,0.000009206522,0.059917536,0.00014697462,0.00011105747,0.0000024441072,0.0011470076,0.9381705,0.00013168152,0.0000013806755,0.000019499665,0.00012234015],"about_ca_topic_score_codex":0.00010213437,"about_ca_topic_score_gemma":0.0004552651,"teacher_disagreement_score":0.28110743,"about_ca_system_score_codex":0.0005069987,"about_ca_system_score_gemma":0.000043202497,"threshold_uncertainty_score":0.5417987},"labels":[],"label_agreement":null},{"id":"W1998458574","doi":"10.1007/s11277-010-0207-1","title":"A Generalized BER Prediction Method for Differential Chaos Shift Keying System Through Different Communication Channels","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Bit error rate; Additive white Gaussian noise; Gaussian; Communications system; Algorithm; CHAOS (operating system); Keying; Gaussian noise; Energy (signal processing); White noise; Telecommunications; Statistics; Mathematics; Decoding methods; Physics","score_opus":0.024903792994316387,"score_gpt":0.2933884679015723,"score_spread":0.2684846749072559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998458574","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":[0.38330352,0.0001427063,0.6103608,0.0028984684,0.00051693886,0.0010965179,0.0004870368,0.0001911486,0.0010028731],"genre_scores_gemma":[0.9841231,0.000022280154,0.011390389,0.00005386697,0.0005946261,0.0012492139,0.0023259844,0.00004900408,0.00019150368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998401,0.00029178313,0.00046398546,0.0003134688,0.00022058397,0.00030921178],"domain_scores_gemma":[0.99771893,0.0003585173,0.0002776696,0.0013363941,0.0002151196,0.00009339811],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024528118,0.00027084586,0.00037081068,0.00007300493,0.0012299225,0.00017202542,0.00082324265,0.00012462,0.00015832575],"category_scores_gemma":[0.000010210628,0.00025384253,0.00025829978,0.00014674039,0.00012408916,0.00027150367,0.0002666259,0.00047908138,0.000011308482],"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":[0.000108201406,0.00075670605,0.0046241498,0.00011899176,0.00046284383,1.0967562e-7,0.016496714,0.00009741926,0.03220337,0.9239748,0.0005165121,0.020640172],"study_design_scores_gemma":[0.003520562,0.000060201626,0.0044045625,0.00014699604,0.00031007582,0.000003896695,0.0023913975,0.9736764,0.0021225763,0.006348209,0.006474083,0.00054106396],"about_ca_topic_score_codex":0.00078596687,"about_ca_topic_score_gemma":0.0002627509,"teacher_disagreement_score":0.97357893,"about_ca_system_score_codex":0.000074313095,"about_ca_system_score_gemma":0.000058327336,"threshold_uncertainty_score":0.99999136},"labels":[],"label_agreement":null},{"id":"W1999912143","doi":"10.1007/s11277-014-2182-4","title":"Recent Trends in Digital Convergence Information System","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Innovation in Digital Healthcare Systems","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Convergence (economics)","score_opus":0.08858658120834416,"score_gpt":0.4015704242384913,"score_spread":0.31298384303014715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999912143","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":[0.37700567,0.00020192552,0.0019818535,0.011886599,0.001756813,0.0011965404,0.00037333192,0.0006688453,0.60492843],"genre_scores_gemma":[0.9970202,0.00004914427,0.00016707457,0.0006451607,0.00009951768,0.00040302583,0.0007101212,0.000019238369,0.0008865134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974585,0.00043447522,0.0011528375,0.00016982142,0.00035596234,0.0004283885],"domain_scores_gemma":[0.99714,0.00047137152,0.00044197417,0.0010943457,0.00073698256,0.000115315524],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009997248,0.00016401455,0.0002738439,0.0004719581,0.0008000561,0.000050796185,0.00073539495,0.00020215395,0.00012194723],"category_scores_gemma":[0.00020394713,0.00016663576,0.000050390696,0.0012819363,0.00012116802,0.0011032644,0.00029021036,0.0007592695,0.0011515147],"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":[0.00006818221,0.000110589215,0.1504178,0.0006349695,0.00002365099,5.656893e-7,0.023136992,0.000008227148,0.000017167402,0.44362286,0.007915662,0.37404332],"study_design_scores_gemma":[0.00165648,0.000095716576,0.14120758,0.0011598571,0.000007989005,0.000013138782,0.039972257,0.07104214,0.000004399867,0.00032014173,0.74396616,0.00055415457],"about_ca_topic_score_codex":0.00041234988,"about_ca_topic_score_gemma":0.000562373,"teacher_disagreement_score":0.7360505,"about_ca_system_score_codex":0.00088900345,"about_ca_system_score_gemma":0.00022918111,"threshold_uncertainty_score":0.9996262},"labels":[],"label_agreement":null},{"id":"W2002374543","doi":"10.1007/s11277-010-0131-4","title":"On the Convergence of Genetic Scheduling Algorithms for Downlink Transmission in Multi-User MIMO Systems","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada); University of Alberta","funders":"","keywords":"Computer science; Scheduling (production processes); MIMO; Algorithm; Telecommunications link; Coding (social sciences); Mathematical optimization; Precoding; Rate of convergence; Convergence (economics); Mathematics; Key (lock); Telecommunications; Statistics","score_opus":0.037974981388052734,"score_gpt":0.28568733274260477,"score_spread":0.24771235135455205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002374543","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":[0.14555876,0.0011750346,0.8515457,0.00027923894,0.0002736497,0.0008903796,0.000057103334,0.00009349299,0.00012662997],"genre_scores_gemma":[0.92020303,0.0002796816,0.07907379,0.000011220581,0.000019536334,0.00029940854,0.000026964224,0.000032254415,0.000054107844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992029,0.00005898463,0.0003514929,0.0001264147,0.00010199101,0.00015820828],"domain_scores_gemma":[0.99861693,0.00048091268,0.0000728589,0.00067414134,0.00011279831,0.000042369236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022819963,0.0001272082,0.00017007216,0.000081415084,0.00014295711,0.0000161168,0.0005536793,0.00010494381,0.000010495224],"category_scores_gemma":[0.00004551398,0.00010781132,0.00005707729,0.00020293167,0.00009632601,0.00007495253,0.000029216006,0.00034793955,0.0000053705985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023744025,0.00022356029,0.000941895,0.00038492153,0.00006539272,6.021178e-7,0.0046583856,0.8272429,0.13152416,0.028869787,0.00006242344,0.006002195],"study_design_scores_gemma":[0.00035128562,0.000013831128,0.0003482383,0.00015814709,0.0000095207715,0.0000027813546,0.00051990536,0.9966123,0.0011043659,0.000039268005,0.0007189562,0.00012139687],"about_ca_topic_score_codex":0.000052951273,"about_ca_topic_score_gemma":0.000116475865,"teacher_disagreement_score":0.77464426,"about_ca_system_score_codex":0.000037931753,"about_ca_system_score_gemma":0.000027993152,"threshold_uncertainty_score":0.4396418},"labels":[],"label_agreement":null},{"id":"W2002505974","doi":"10.1007/s11277-010-0018-4","title":"A List Sphere Decoding Algorithm with Improved Radius Setting Strategies","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Initialization; Decoding methods; Computer science; Reduction (mathematics); Algorithm; RADIUS; Underdetermined system; MIMO; Mathematical optimization; Mathematics; Telecommunications; Geometry","score_opus":0.009409708328975743,"score_gpt":0.25344577092795045,"score_spread":0.2440360625989747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002505974","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":[0.3955428,0.003108676,0.5328999,0.00257828,0.00035948612,0.0015387663,0.00023371172,0.008350523,0.055387877],"genre_scores_gemma":[0.7059617,0.0004348231,0.29308295,0.00004082753,0.00004538915,0.00021189511,0.00008478344,0.00007676062,0.00006089487],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987901,0.00006930826,0.00034764322,0.00023162541,0.00018921129,0.000372153],"domain_scores_gemma":[0.9971563,0.00030711232,0.00011425777,0.0021125176,0.00017702409,0.00013275495],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021037513,0.00030144764,0.00026231437,0.0001112243,0.0006063217,0.0002020012,0.0016266877,0.00015700699,0.00007653391],"category_scores_gemma":[0.000021102393,0.00030620326,0.0000782963,0.0003828895,0.00041611836,0.00062221405,0.00028305428,0.0013473756,0.000015316195],"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":[0.000020167807,0.00022824056,0.0007522981,0.000133093,0.00023046242,0.0000064908677,0.0049424586,0.00044717098,0.3153597,0.03427691,0.0006043154,0.6429987],"study_design_scores_gemma":[0.0006264766,0.00006260903,0.0007257451,0.0001652563,0.000046434256,0.00010247425,0.005558324,0.958296,0.011876598,0.0011641954,0.020432603,0.0009433133],"about_ca_topic_score_codex":0.000115155744,"about_ca_topic_score_gemma":0.0018531538,"teacher_disagreement_score":0.9578488,"about_ca_system_score_codex":0.000093725845,"about_ca_system_score_gemma":0.000113731556,"threshold_uncertainty_score":0.999939},"labels":[],"label_agreement":null},{"id":"W2002542048","doi":"10.1007/s11277-010-0145-y","title":"Adaptive Opportunistic Multicast Scheduling Over Next-Generation Wireless Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Multicast; Computer science; Source-specific multicast; Computer network; Xcast; Pragmatic General Multicast; Protocol Independent Multicast; Distributed computing; Distance Vector Multicast Routing Protocol; Link adaptation; IP multicast; Reliable multicast; Scheduling (production processes); Channel (broadcasting); Fading; Mathematical optimization","score_opus":0.062270391385437864,"score_gpt":0.2730342086674338,"score_spread":0.21076381728199592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002542048","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":[0.31782207,0.00068208645,0.6759571,0.0003160696,0.0010220584,0.0005749125,0.00007108758,0.001006309,0.0025483237],"genre_scores_gemma":[0.9579817,0.0010712825,0.039294675,0.00010256694,0.00051167293,0.0001757148,0.0006621562,0.00013005812,0.000070187016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983162,0.000095607735,0.00048143815,0.0003424635,0.00027986703,0.0004844214],"domain_scores_gemma":[0.99784505,0.00029286754,0.00013063777,0.0012749928,0.00021975212,0.00023667002],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000221998,0.00036381662,0.00031763787,0.0001432987,0.0006547661,0.00015728448,0.000813084,0.00028627086,0.00012593137],"category_scores_gemma":[0.000036900703,0.00042624443,0.000114477196,0.00048265618,0.0003321127,0.00062277354,0.0002049315,0.0012590241,0.000037324946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025988724,0.00020698817,0.00056985294,0.000032597636,0.0001557003,0.000006992929,0.0010823796,0.8202715,0.073832676,0.037966043,0.0005155828,0.065333694],"study_design_scores_gemma":[0.00035732065,0.00001835144,0.00035076973,0.000047996724,0.000043303793,0.000013900529,0.00025430982,0.99738526,0.00017510503,0.000055645425,0.00084004493,0.00045796233],"about_ca_topic_score_codex":0.00002705242,"about_ca_topic_score_gemma":0.0005499183,"teacher_disagreement_score":0.6401596,"about_ca_system_score_codex":0.00013168472,"about_ca_system_score_gemma":0.00006700675,"threshold_uncertainty_score":0.9998189},"labels":[],"label_agreement":null},{"id":"W2002962057","doi":"10.1007/s11277-008-9590-2","title":"Performance Evaluation of the Enhanced MI-MAC Protocol for Multimedia Integration over Wireless Cellular Networks","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Computer network; Scheduling (production processes); Telecommunications link; Handover; Protocol (science); Wireless network; Wireless; Channel (broadcasting); Cellular network; Telecommunications","score_opus":0.044962081828483505,"score_gpt":0.2975812915168779,"score_spread":0.2526192096883944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002962057","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":[0.51601624,0.000194844,0.40468222,0.0001235995,0.00034256006,0.07636202,0.00004684302,0.00032804086,0.0019036043],"genre_scores_gemma":[0.8877395,0.00012619454,0.0054805707,0.000019203128,0.000093321665,0.10629163,0.00014332568,0.000060347582,0.000045952456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983453,0.00017943165,0.00049990107,0.00020924046,0.0004894972,0.0002766183],"domain_scores_gemma":[0.9978488,0.0002492417,0.00023653227,0.0010295607,0.0005796893,0.00005615272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004102214,0.00024016676,0.00024398425,0.00007930696,0.0005379117,0.00001551449,0.0007524751,0.00016247804,0.00004175376],"category_scores_gemma":[0.000047199475,0.00021561839,0.00013983148,0.00050549937,0.000321825,0.00031836465,0.00011136162,0.00035201455,0.0000031246466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065575354,0.0001496501,0.0009229765,0.0001015329,0.00006304914,6.098266e-8,0.0022519787,0.91297054,0.023373157,0.0002563698,0.0005069447,0.059338138],"study_design_scores_gemma":[0.0012219681,0.000028092642,0.0029804825,0.00019175847,0.000044373526,0.0000017633471,0.0001001992,0.97161514,0.02325648,0.000023863302,0.0003118937,0.0002239664],"about_ca_topic_score_codex":0.000009942214,"about_ca_topic_score_gemma":0.00007130492,"teacher_disagreement_score":0.39920166,"about_ca_system_score_codex":0.00022803087,"about_ca_system_score_gemma":0.00011286569,"threshold_uncertainty_score":0.87926626},"labels":[],"label_agreement":null},{"id":"W2004788897","doi":"10.1007/s11277-008-9516-z","title":"Investigation of Crosstalk and Coupling Effects of Incident Plane Waves in Orthogonal Microstrips in High-Speed Integrated Circuits Using Full-Wave and Quasi-Static Methods","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Iran Telecommunication Research Center","keywords":"Transmission line; Microstrip; Electric power transmission; Interconnection; Voltage; Physics; Electronic circuit; Crosstalk; Plane wave; Coupling (piping); Computer science; Computational physics; Electrical engineering; Optics; Telecommunications; Materials science; Engineering","score_opus":0.04327416440919766,"score_gpt":0.2893413242131553,"score_spread":0.24606715980395763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004788897","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":[0.9980783,0.0007015652,0.0008816963,0.0000620102,0.000014979483,0.00018592934,0.000033434397,0.000006381755,0.00003573233],"genre_scores_gemma":[0.9927632,0.00008481035,0.0069968244,0.000008526664,0.000009084989,0.000011346355,0.00010751117,0.000011640747,0.0000070297556],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989864,0.0001952721,0.00038847918,0.0001615424,0.00010253225,0.0001657763],"domain_scores_gemma":[0.9988002,0.00062143896,0.00020795806,0.00023193227,0.00008303883,0.000055419932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029871822,0.00013294298,0.0003200394,0.00016863226,0.00014111017,0.000015255204,0.00013131398,0.000043446627,0.0000047419553],"category_scores_gemma":[0.00002980929,0.00013656427,0.000024826106,0.00031947703,0.00045442037,0.00009567445,0.00009924603,0.00025319864,1.3204094e-7],"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":[0.00003335767,0.0001836019,0.24012528,0.00014241405,0.000055870176,0.0000021113706,0.015652206,0.000080609774,0.73716176,0.0036778117,0.0000021034407,0.0028828431],"study_design_scores_gemma":[0.0036077201,0.0004502879,0.6711966,0.00089581806,0.00009410851,0.00003453421,0.0048691332,0.24163479,0.07227788,0.0044143233,0.0000073416004,0.0005174999],"about_ca_topic_score_codex":0.0018653601,"about_ca_topic_score_gemma":0.00011545848,"teacher_disagreement_score":0.6648839,"about_ca_system_score_codex":0.000043122935,"about_ca_system_score_gemma":0.00014362528,"threshold_uncertainty_score":0.55689293},"labels":[],"label_agreement":null},{"id":"W2005422367","doi":"10.1007/s11277-013-1419-y","title":"Reputation-Based Cooperative Detection Model of Selfish Nodes in Cluster-Based QoS-OLSR Protocol","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Selfishness; Computer network; Network packet; Quality of service; Mobile ad hoc network; Routing protocol; Optimized Link State Routing Protocol; Wireless ad hoc network; Reputation; Distributed computing; Denial-of-service attack; Selection algorithm; Protocol (science); Selection (genetic algorithm); Wireless","score_opus":0.0314357788660507,"score_gpt":0.28691857908479096,"score_spread":0.25548280021874026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005422367","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":[0.029191557,0.000016930511,0.9400854,0.0032304195,0.000041302686,0.025996106,0.000014143242,0.00018856229,0.0012355407],"genre_scores_gemma":[0.8683252,0.0000014159939,0.05479447,0.00044853837,0.00001644267,0.07634599,0.000019475634,0.000017279748,0.000031237658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981302,0.0004261577,0.0005202844,0.00034942495,0.000319587,0.0002543249],"domain_scores_gemma":[0.99694794,0.00057632796,0.00026713367,0.0015827297,0.0005411802,0.00008468779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805988,0.00018879773,0.00024302627,0.00018992444,0.00027162387,0.00013402669,0.0016488044,0.000118379176,0.000020457444],"category_scores_gemma":[0.00005545447,0.00019436242,0.00008675237,0.0007889721,0.00021864312,0.0005950744,0.00026678754,0.0003869084,0.000019419407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009799309,0.0020575474,0.0029758397,0.00020818521,0.000054295797,0.0000013634491,0.0068806102,0.895922,0.014127777,0.018069565,0.0007102349,0.05889456],"study_design_scores_gemma":[0.00095868274,0.00007721741,0.0010606705,0.00009837205,0.0000044134745,9.5344683e-7,0.00011276791,0.9941116,0.0027961293,0.0004785527,0.000107107095,0.0001935335],"about_ca_topic_score_codex":0.00036623116,"about_ca_topic_score_gemma":0.0006515649,"teacher_disagreement_score":0.885291,"about_ca_system_score_codex":0.00016701089,"about_ca_system_score_gemma":0.00040906394,"threshold_uncertainty_score":0.792587},"labels":[],"label_agreement":null},{"id":"W2005583142","doi":"10.1007/s11277-010-0074-9","title":"Denial of Service Prevention for 5G","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Aalborg Universitet; Federation for the Humanities and Social Sciences","keywords":"Computer science; Denial-of-service attack; Quality of service; Computer network; Wireless; Bandwidth (computing); Usability; Bit error rate; Computer security; Telecommunications; Channel (broadcasting); The Internet","score_opus":0.0346135071362218,"score_gpt":0.30550456676929644,"score_spread":0.27089105963307464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005583142","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":[0.95806956,0.0007126417,0.017629711,0.0044278973,0.0002747189,0.0012056513,0.00019383866,0.0013424185,0.01614354],"genre_scores_gemma":[0.9670219,0.00020167898,0.032087713,0.00006119923,0.000039342118,0.00035074467,0.0001589007,0.00004041156,0.000038124585],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992242,0.000049078488,0.00032646794,0.00010678729,0.00013778836,0.00015567344],"domain_scores_gemma":[0.9977573,0.00027992387,0.00008745186,0.0015166121,0.00030323185,0.00005546672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025607966,0.00012907587,0.00018680346,0.00010696847,0.00017191662,0.000023451685,0.0013415999,0.0001412857,0.000032101823],"category_scores_gemma":[0.00003340676,0.00015401517,0.00010673715,0.00026405603,0.00013585931,0.00017043858,0.00010840121,0.0004165616,0.000010790673],"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":[0.000048975016,0.000669373,0.0010292208,0.00064519345,0.0002281044,1.8116329e-7,0.00812649,0.00016110006,0.69019985,0.21910736,0.003188737,0.07659539],"study_design_scores_gemma":[0.0018488775,0.00015532668,0.0057251514,0.00032805683,0.00015927824,0.000030704556,0.0012545484,0.65028197,0.20598412,0.0155182425,0.11749608,0.0012176544],"about_ca_topic_score_codex":0.00006751865,"about_ca_topic_score_gemma":0.0016957856,"teacher_disagreement_score":0.65012085,"about_ca_system_score_codex":0.000027950797,"about_ca_system_score_gemma":0.000048866226,"threshold_uncertainty_score":0.6280557},"labels":[],"label_agreement":null},{"id":"W2006558032","doi":"10.1007/s11277-011-0281-z","title":"Performance of a Distributed Full Inversion Power Control and Base Station Assignment Scheme in a Cellular CDMA Network with Hot-spots","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Base station; Computer science; Power control; Transmitter power output; Load balancing (electrical power); Power (physics); Real-time computing; Cellular network; Computer network; Code division multiple access; Channel (broadcasting); Transmitter","score_opus":0.03328152249808849,"score_gpt":0.2438450278868471,"score_spread":0.2105635053887586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006558032","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":[0.9126117,0.00068550516,0.0845017,0.0010438027,0.000022068349,0.0005137652,0.000031023443,0.00006531861,0.0005250956],"genre_scores_gemma":[0.9677624,0.0005366908,0.031423707,0.00007553048,0.0000071005834,0.00009327563,0.00007160521,0.000015969745,0.0000137270945],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978837,0.00054408476,0.0004121519,0.00032045995,0.00046015438,0.00037945507],"domain_scores_gemma":[0.9969905,0.00037921456,0.0002585528,0.0019345387,0.0002879831,0.00014921979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007812006,0.00019254927,0.00028169865,0.00017305605,0.00033306362,0.00005507813,0.0019880356,0.00009438919,0.000020805943],"category_scores_gemma":[0.000022421465,0.00018174539,0.00004344425,0.0009456285,0.000430162,0.0005640733,0.00082883146,0.0004814964,0.0000070977594],"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":[0.0051924717,0.007176298,0.61713326,0.0006051562,0.00083290413,0.00008012183,0.07485491,0.008600495,0.043609817,0.17107147,0.0018970711,0.068946004],"study_design_scores_gemma":[0.0013821095,0.0002991979,0.07425452,0.00021506938,0.000010323303,0.000008052384,0.0004885805,0.92258316,0.00028305766,0.00008388316,0.00015828443,0.00023375385],"about_ca_topic_score_codex":0.00017719988,"about_ca_topic_score_gemma":0.00019198935,"teacher_disagreement_score":0.9139827,"about_ca_system_score_codex":0.00013070791,"about_ca_system_score_gemma":0.00018002852,"threshold_uncertainty_score":0.7411362},"labels":[],"label_agreement":null},{"id":"W2006787048","doi":"10.1007/s11277-012-0570-1","title":"Resource Allocation for Aggregate Multimedia and Healthcare Services over Heterogeneous Multi-Hop Wireless Networks","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":10,"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 New Brunswick","funders":"","keywords":"Computer science; Computer network; Wireless network; Heterogeneous network; Network packet; Handover; Backhaul (telecommunications); Wireless; Multi-frequency network; Default gateway; Telecommunications; Base station","score_opus":0.04187353781853353,"score_gpt":0.3117900575532714,"score_spread":0.26991651973473785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006787048","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":[0.19212793,0.028889352,0.742604,0.019660076,0.00070411566,0.0145598855,0.00017638692,0.0010816477,0.00019658118],"genre_scores_gemma":[0.9665687,0.00071105344,0.027410585,0.0012468385,0.00027269954,0.003486217,0.00017133627,0.000047233363,0.00008529841],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977678,0.00034940263,0.0004374834,0.00045514767,0.00027141685,0.00071875076],"domain_scores_gemma":[0.99687284,0.0005981145,0.0003095318,0.0016236041,0.00021036276,0.00038552398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006416031,0.00031777867,0.00034114232,0.00010170667,0.0010045837,0.0002541273,0.0018452919,0.0002332879,0.000004890186],"category_scores_gemma":[0.000010485828,0.00031959754,0.00012768479,0.0003518718,0.00021812879,0.0006968577,0.0008581898,0.00040142375,0.0000082967035],"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":[0.00021778372,0.001544838,0.026274895,0.0009041986,0.0003631176,0.000004219307,0.033836536,0.0023123666,0.0010961818,0.054087635,0.001311743,0.8780465],"study_design_scores_gemma":[0.0008175015,0.000063889245,0.0047107134,0.00019769733,0.000019666142,0.000024473567,0.0002117712,0.97401196,0.00010314185,0.00006478144,0.019388441,0.00038597712],"about_ca_topic_score_codex":0.00029350162,"about_ca_topic_score_gemma":0.00056622963,"teacher_disagreement_score":0.9716996,"about_ca_system_score_codex":0.000088485125,"about_ca_system_score_gemma":0.00006096128,"threshold_uncertainty_score":0.9999256},"labels":[],"label_agreement":null},{"id":"W2008465771","doi":"10.1007/s11277-011-0365-9","title":"Efficient Spectrum Allocation and Time of Arrival Based Localization in Cognitive Networks","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":8,"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 Calgary","funders":"","keywords":"Cognitive radio; Computer science; Orthogonal frequency-division multiplexing; Frequency allocation; Rectangle; Transmission (telecommunications); Spectrum (functional analysis); Cramér–Rao bound; Position (finance); Upper and lower bounds; Multilateration; Max-min fairness; Mathematical optimization; Topology (electrical circuits); Ranging; Resource allocation; Spectrum management; Algorithm; Telecommunications; Channel (broadcasting); Wireless; Computer network; Mathematics; Estimation theory; Physics","score_opus":0.023433855945980343,"score_gpt":0.2292890470854669,"score_spread":0.20585519113948655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008465771","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":[0.53458333,0.0009797366,0.45762324,0.00020206282,0.000056545163,0.0004042115,0.000030732233,0.00040941304,0.0057107266],"genre_scores_gemma":[0.99912006,0.00013075251,0.00057842984,0.000032800515,0.000005369452,0.000044783734,0.00006532041,0.000016295655,0.000006170709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942917,0.000046442918,0.00021378932,0.00009812476,0.00008513014,0.00012733009],"domain_scores_gemma":[0.9995073,0.00009297418,0.000044909186,0.00026938456,0.000059746897,0.00002566387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001246007,0.00009773687,0.00013061088,0.00016210007,0.0000743889,0.00000798072,0.00020812996,0.00009302313,0.00005113471],"category_scores_gemma":[0.000024621602,0.000107740074,0.000024996307,0.00035212663,0.0002213541,0.000036607904,0.000056172932,0.00014666782,0.0000050593226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023447418,0.0013515077,0.07135483,0.00038362382,0.00023565578,0.000006871125,0.03253533,0.78187686,0.0031937608,0.07917013,0.0003542235,0.029302737],"study_design_scores_gemma":[0.00029184017,0.000022236249,0.006011816,0.00008205714,0.000013355244,0.0000011068029,0.00064471323,0.98997635,0.0027062069,0.00012254434,0.000018133986,0.00010963079],"about_ca_topic_score_codex":0.00005369518,"about_ca_topic_score_gemma":0.00007171138,"teacher_disagreement_score":0.46453676,"about_ca_system_score_codex":0.00004180545,"about_ca_system_score_gemma":0.000018340677,"threshold_uncertainty_score":0.4393513},"labels":[],"label_agreement":null},{"id":"W2008714680","doi":"10.1023/b:wire.0000012273.62935.8a","title":"Blind Multiuser Detection in Multirate CDMA Based on Cyclic LMS Adaptation","year":2003,"lang":"en","type":"article","venue":"Wireless Personal 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 British Columbia","funders":"","keywords":"Computer science; Multiuser detection; Algorithm; Multipath propagation; Convergence (economics); Code division multiple access; Least mean squares filter; Adaptive algorithm; Adaptive filter; Distortion (music); Energy (signal processing); Control theory (sociology); Bandwidth (computing); Telecommunications; Mathematics; Artificial intelligence","score_opus":0.07994651833803262,"score_gpt":0.32152238880669665,"score_spread":0.24157587046866402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008714680","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":[0.30414078,0.0009149896,0.66591156,0.0099730585,0.00036815403,0.001959753,0.000019003883,0.0007328137,0.015979856],"genre_scores_gemma":[0.9680833,0.00024187782,0.030647568,0.00038535535,0.000017480212,0.00041416372,0.00003531077,0.000033432356,0.00014148066],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99620277,0.0016718942,0.00050734065,0.0005115052,0.0006199271,0.00048654416],"domain_scores_gemma":[0.9944343,0.0013204043,0.00019644934,0.003601869,0.0002806541,0.00016633078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011790316,0.00026018408,0.00024948444,0.0005966459,0.0006816039,0.00024062024,0.0031278592,0.0001790644,0.000026978394],"category_scores_gemma":[0.0002501432,0.00028187913,0.00011674656,0.0018223022,0.0002283591,0.00058700854,0.00038840756,0.0010121724,0.00016196116],"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":[0.00036628486,0.0055898707,0.0067015206,0.000089787085,0.000118041484,0.000022344762,0.017054638,0.13475733,0.017921349,0.18161464,0.00031039325,0.6354538],"study_design_scores_gemma":[0.0014853842,0.00007232159,0.005329703,0.00007123505,0.0000037994564,0.0000041815415,0.0003355896,0.98747545,0.00133419,0.00026221087,0.0033246675,0.00030125622],"about_ca_topic_score_codex":0.00027449947,"about_ca_topic_score_gemma":0.0024925268,"teacher_disagreement_score":0.8527181,"about_ca_system_score_codex":0.00033357975,"about_ca_system_score_gemma":0.00025420403,"threshold_uncertainty_score":0.99996334},"labels":[],"label_agreement":null},{"id":"W2008930801","doi":"10.1007/s11277-006-0377-z","title":"Capacity and Error Probability for Maximal Ratio Combining Reception over Correlated Nakagami Fading Channels","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Nakagami distribution; Maximal-ratio combining; Additive white Gaussian noise; Fading; Probability density function; Computer science; Fading distribution; Modulation (music); Statistics; Signal-to-noise ratio (imaging); Algorithm; Mathematics; Telecommunications; Topology (electrical circuits); Channel (broadcasting); Rayleigh fading; Physics; Acoustics; Combinatorics","score_opus":0.0464044488582729,"score_gpt":0.27527688300203085,"score_spread":0.22887243414375796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008930801","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":[0.77323693,0.00090727414,0.22040334,0.0009499402,0.00014279674,0.0012717156,0.00013417701,0.0015436934,0.0014101097],"genre_scores_gemma":[0.9557912,0.00030007827,0.04265654,0.000030446306,0.000038867747,0.0006710133,0.00036180895,0.00006345325,0.00008664013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986751,0.0001285048,0.00047005952,0.0002600626,0.00015948543,0.00030680635],"domain_scores_gemma":[0.9981275,0.0004067742,0.00013314992,0.0010729433,0.00018648656,0.00007315196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034629996,0.00025672064,0.00029202751,0.00013059987,0.0006333557,0.00008286016,0.0006042261,0.00018407393,0.000019012461],"category_scores_gemma":[0.000049322578,0.00030426963,0.00009011346,0.00027960297,0.0003565711,0.00043264488,0.00020101096,0.00048557084,0.0000050301637],"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":[0.00029210417,0.0017386083,0.019567817,0.0014656885,0.00050052017,0.0000019405431,0.01999429,0.054227278,0.28180987,0.53896666,0.006210904,0.07522433],"study_design_scores_gemma":[0.00078446174,0.000057807523,0.0049863686,0.00016111415,0.00003944532,0.000012070633,0.0003326734,0.97121215,0.0038049123,0.013946385,0.004111843,0.00055077],"about_ca_topic_score_codex":0.00011391057,"about_ca_topic_score_gemma":0.00019620862,"teacher_disagreement_score":0.91698486,"about_ca_system_score_codex":0.00025500212,"about_ca_system_score_gemma":0.000024637056,"threshold_uncertainty_score":0.99994093},"labels":[],"label_agreement":null},{"id":"W2009038226","doi":"10.1007/s11277-014-1749-4","title":"Special Issue on Mobility and Intelligence Management Technologies for Wireless and Mobile Networks","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Agent-Based Network Management","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":"St. Francis Xavier University","funders":"","keywords":"Computer science; Mobility management; Wireless network; Wireless; Computer network; Telecommunications","score_opus":0.020374352817227076,"score_gpt":0.26870287742990673,"score_spread":0.24832852461267965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009038226","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":[0.02228613,0.0010737515,0.95838076,0.005320637,0.0004755793,0.0029091358,0.000016280532,0.0007370299,0.008800707],"genre_scores_gemma":[0.9746131,0.002638973,0.020375676,0.0003918221,0.0003489111,0.0013543698,0.000017798517,0.000018815943,0.00024058661],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838465,0.00014627569,0.0002993116,0.0006030668,0.00021515733,0.00035151167],"domain_scores_gemma":[0.99710834,0.0006152941,0.00012565116,0.0019983707,0.00007274526,0.00007962261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006612315,0.00023250096,0.00024551622,0.00013680436,0.00060173305,0.00020868282,0.0019333755,0.00009431997,0.000008766374],"category_scores_gemma":[0.000017821967,0.00023163305,0.000059961723,0.00034440108,0.00045954192,0.00019076843,0.0019105772,0.00026244752,0.000010951666],"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":[0.000014252788,0.00013740678,0.00011224995,0.00005464537,0.000033386765,7.0549174e-7,0.0003629521,0.00085166725,0.0000036693586,0.21554993,0.0022425791,0.78063655],"study_design_scores_gemma":[0.0002536305,0.0002472645,0.0005708298,0.00007822815,0.000024417055,0.0000028753466,0.0008525927,0.8160854,0.000060242975,0.00304528,0.17848483,0.00029439782],"about_ca_topic_score_codex":0.000018028499,"about_ca_topic_score_gemma":0.00005545645,"teacher_disagreement_score":0.9523269,"about_ca_system_score_codex":0.00009108576,"about_ca_system_score_gemma":0.000013127042,"threshold_uncertainty_score":0.94457215},"labels":[],"label_agreement":null},{"id":"W2009166388","doi":"10.1007/s11277-015-2360-z","title":"Coverage Self-Optimization for Randomly Deployed Femtocell Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Femtocell; Computer science; Macrocell; Software deployment; Path loss; Computer network; Base station; Wireless; Optimization problem; Telecommunications; Algorithm","score_opus":0.028354171750108542,"score_gpt":0.2514085797843593,"score_spread":0.22305440803425078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009166388","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":[0.0013742093,0.0014621401,0.9925123,0.00018168446,0.00022416492,0.0008168135,0.00003473415,0.0008960205,0.0024979587],"genre_scores_gemma":[0.9185758,0.0007625622,0.07928799,0.00005960117,0.00011360629,0.0004886823,0.00046820138,0.00009411646,0.00014940837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907434,0.00007922423,0.00031639545,0.00016067417,0.00012437608,0.00024501895],"domain_scores_gemma":[0.99857587,0.0002449438,0.000081912905,0.00068933784,0.00027212838,0.00013582032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025307242,0.00018533895,0.00022950716,0.00008060289,0.0002221319,0.000059643608,0.00045059895,0.00012489167,0.000007813207],"category_scores_gemma":[0.000046214216,0.00021080536,0.00007961506,0.0002682356,0.000046138295,0.00029534593,0.00007091513,0.000186663,0.000010518901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033037137,0.000045221495,0.00009592189,0.000030383195,0.000047468515,2.1197287e-7,0.0008602618,0.99475265,0.00003859064,0.0006259193,0.0026441454,0.0008261757],"study_design_scores_gemma":[0.002001822,0.000025971509,0.000009137217,0.000027836979,0.000038677827,0.000005313541,0.00021386353,0.99228233,0.000034163768,0.00006486165,0.0050677108,0.00022830896],"about_ca_topic_score_codex":0.000011186969,"about_ca_topic_score_gemma":0.000036379388,"teacher_disagreement_score":0.91720164,"about_ca_system_score_codex":0.00022304301,"about_ca_system_score_gemma":0.000052058116,"threshold_uncertainty_score":0.85963935},"labels":[],"label_agreement":null},{"id":"W2010173073","doi":"10.1007/s11277-007-9324-x","title":"Radio resource management for downlink multimedia services in TDMA/CDMA interference-limited cellular networks","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","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":"McGill University","funders":"","keywords":"Computer science; Time division multiple access; Computer network; Quality of service; Telecommunications link; Code division multiple access; Cellular network; Resource allocation; Interference (communication); Power control; Radio resource management; Cellular traffic; Telecommunications; Power (physics); Wireless; Wireless network","score_opus":0.03530087348965575,"score_gpt":0.29898249343616046,"score_spread":0.2636816199465047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010173073","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":[0.024376577,0.0040407474,0.95343286,0.007178232,0.00020165344,0.0018741541,0.000020280435,0.00046161475,0.008413899],"genre_scores_gemma":[0.9099454,0.0010890841,0.08739488,0.00039506203,0.000089853485,0.0003804817,0.00029083338,0.000040393534,0.00037399385],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966478,0.0004872102,0.00080530794,0.0006350506,0.0005151487,0.0009094985],"domain_scores_gemma":[0.9929275,0.0019146068,0.00025731552,0.0043489323,0.00028584123,0.0002658285],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0023469068,0.0003299124,0.00037947283,0.00057341077,0.0006771843,0.0003055174,0.009163789,0.0002310995,0.000014869414],"category_scores_gemma":[0.00002554666,0.00035515617,0.0001721397,0.0016804835,0.00033450287,0.00048246796,0.0031465644,0.000993619,0.0000341499],"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":[0.0003565506,0.0020088863,0.0058448287,0.0003566914,0.00037383274,0.000044652992,0.02000897,0.0048528714,0.0012404834,0.1800053,0.0025326782,0.78237426],"study_design_scores_gemma":[0.0010891192,0.00005508032,0.005922764,0.00024362486,0.000013527347,0.000005957017,0.0015413298,0.9684066,0.00011901148,0.000317568,0.021899864,0.00038555206],"about_ca_topic_score_codex":0.0001453939,"about_ca_topic_score_gemma":0.0012984936,"teacher_disagreement_score":0.9635537,"about_ca_system_score_codex":0.00031314616,"about_ca_system_score_gemma":0.00006767943,"threshold_uncertainty_score":0.99989},"labels":[],"label_agreement":null},{"id":"W2011313512","doi":"10.1007/s11277-010-9987-6","title":"A Price Based Decentralized Rate Selection in IEEE 802.11 Based WLANS","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nash equilibrium; Computer science; Mathematical optimization; Throughput; Best response; Price of anarchy; Game theory; IEEE 802.11; Epsilon-equilibrium; Strategy; Channel (broadcasting); Pareto principle; Price of stability; Wireless; Computer network; Mathematical economics; Mathematics; Telecommunications; Economics","score_opus":0.02859114562840808,"score_gpt":0.29461963819427234,"score_spread":0.26602849256586425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011313512","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":[0.24438189,0.00010291359,0.7312007,0.015513518,0.00042766615,0.0054648235,0.000032366253,0.0006929143,0.0021832013],"genre_scores_gemma":[0.9536861,0.000018140934,0.04287813,0.0009571717,0.00004351673,0.002309012,0.00002730475,0.000022344366,0.000058290567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979444,0.00052714057,0.00037367048,0.00040695496,0.0002745384,0.00047327857],"domain_scores_gemma":[0.99750185,0.0006696854,0.00017232957,0.0013087654,0.000179299,0.00016804493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086263666,0.00022600597,0.00025265894,0.00020778926,0.00046035333,0.000242634,0.0024232226,0.00017380976,0.00007914936],"category_scores_gemma":[0.000044858796,0.00023255065,0.00011920446,0.0012111608,0.0001533023,0.00038375653,0.0001698467,0.0008173389,0.000034716013],"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":[0.0006490232,0.00841328,0.24483687,0.00040846865,0.00019126343,0.000061665356,0.010940109,0.015142049,0.31098056,0.3170269,0.010583677,0.08076613],"study_design_scores_gemma":[0.0012013955,0.00003660934,0.017325865,0.00007706471,0.000006248993,0.00000532926,0.000022289692,0.9654713,0.0014983071,0.00020052183,0.013847812,0.000307215],"about_ca_topic_score_codex":0.0005000779,"about_ca_topic_score_gemma":0.0061260555,"teacher_disagreement_score":0.9503293,"about_ca_system_score_codex":0.00009098612,"about_ca_system_score_gemma":0.0004785833,"threshold_uncertainty_score":0.948314},"labels":[],"label_agreement":null},{"id":"W2012009673","doi":"10.1007/s11277-007-9420-y","title":"Bandwidth-efficient Bit-interleaved Coded Cooperative Communications","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","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":"McGill University; University of Saskatchewan","funders":"","keywords":"Computer science; Spectral efficiency; Bandwidth (computing); Encoder; Concatenation (mathematics); Algorithm; Electronic engineering; Telecommunications; Arithmetic; Mathematics; Channel (broadcasting)","score_opus":0.06251393009816986,"score_gpt":0.3235055057780729,"score_spread":0.26099157567990305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012009673","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":[0.03451962,0.008089162,0.858326,0.032068755,0.00040745857,0.0011326463,0.000043069973,0.0010952139,0.064318076],"genre_scores_gemma":[0.95345306,0.002909913,0.041336846,0.0013709322,0.000048813712,0.00011483601,0.00011069342,0.000032558844,0.00062233885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969129,0.0007332318,0.00077305833,0.0005182113,0.00045751804,0.0006050915],"domain_scores_gemma":[0.98988116,0.0014272797,0.0002804288,0.007246705,0.00086107134,0.00030337373],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0016878842,0.00035569808,0.00038452228,0.0003285003,0.0023031055,0.00036047163,0.009465519,0.00014124022,0.00007076865],"category_scores_gemma":[0.00013947875,0.00036108782,0.00019712574,0.0016234675,0.0008640221,0.00042796633,0.0043818434,0.000947989,0.00024641128],"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":[0.00003248451,0.0011583442,0.00059448264,0.00001361259,0.00014748673,0.0000053963267,0.017652623,0.00009280947,0.009452708,0.8345614,0.0021493942,0.13413927],"study_design_scores_gemma":[0.0012944547,0.00013360562,0.004425046,0.00020642804,0.000036358444,0.00005740221,0.0020710889,0.89452165,0.001745466,0.00061351544,0.09394341,0.00095158006],"about_ca_topic_score_codex":0.00004272575,"about_ca_topic_score_gemma":0.0012788216,"teacher_disagreement_score":0.91893345,"about_ca_system_score_codex":0.00029046714,"about_ca_system_score_gemma":0.0002447232,"threshold_uncertainty_score":0.9998841},"labels":[],"label_agreement":null},{"id":"W2014426009","doi":"10.1007/s11277-013-1456-6","title":"On Coordinated Multi-point Transmission with Partial Channel State Information Via Delayed Feedback","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Telecommunications link; Channel state information; Transmission (telecommunications); Codebook; Spectral efficiency; Quantization (signal processing); Beamforming; Channel (broadcasting); Interference (communication); Precoding; Control theory (sociology); MIMO; Computer network; Algorithm; Telecommunications; Wireless","score_opus":0.012581774465977663,"score_gpt":0.2228427256494025,"score_spread":0.21026095118342483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014426009","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":[0.023990264,0.00010412764,0.97337943,0.00046126894,0.00005448837,0.0007153954,0.000038437272,0.0004660537,0.00079054787],"genre_scores_gemma":[0.9878405,0.0001296265,0.0110852895,0.00007218983,0.000009959497,0.00033842304,0.00039487853,0.000043585776,0.00008557949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910194,0.00006662054,0.0003427848,0.00010380842,0.00013117898,0.00025369372],"domain_scores_gemma":[0.9989134,0.000079162906,0.00009223575,0.00057806337,0.00021227486,0.00012488336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008452049,0.00021296032,0.00018168737,0.00012657672,0.00026822247,0.000070319125,0.00034492358,0.00008468356,0.00005650395],"category_scores_gemma":[0.000007898869,0.0001941139,0.000042707943,0.0002924871,0.000080968275,0.0009900904,0.000037901566,0.0003001758,0.00025094632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016354604,0.0002740307,0.000047404264,0.00015692567,0.00019861606,9.656601e-7,0.017244639,0.9201444,0.0065343613,0.0006916817,0.0012750904,0.053268384],"study_design_scores_gemma":[0.00088708365,0.00007839029,0.00016840798,0.000103470265,0.000013284654,0.000007403299,0.0006673501,0.9963009,0.0010346883,0.000061397695,0.0004178808,0.00025976368],"about_ca_topic_score_codex":0.00019057254,"about_ca_topic_score_gemma":0.00006130394,"teacher_disagreement_score":0.9638502,"about_ca_system_score_codex":0.00014059551,"about_ca_system_score_gemma":0.000023528282,"threshold_uncertainty_score":0.7915735},"labels":[],"label_agreement":null},{"id":"W2014544323","doi":"10.1007/s11277-009-9802-4","title":"Iterative Channel Estimation and Successive ICI Cancellation for OFDM Systems over Doubly Selective Channels","year":2009,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Computer science; Orthogonal frequency-division multiplexing; Subcarrier; Channel (broadcasting); Estimator; Equalization (audio); Algorithm; Minimum mean square error; Single antenna interference cancellation; Interference (communication); Block (permutation group theory); Telecommunications; Mathematics; Statistics","score_opus":0.024299734440288434,"score_gpt":0.29795935804659557,"score_spread":0.27365962360630713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014544323","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":[0.063831314,0.007969892,0.91717243,0.0024075133,0.00024384368,0.0029641427,0.0002847279,0.0016126139,0.0035135031],"genre_scores_gemma":[0.9902276,0.0011958083,0.007195962,0.00008874028,0.00006244625,0.0007594959,0.00030951327,0.000044805918,0.00011563759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988498,0.00009915269,0.00037180935,0.00024089632,0.00016940442,0.00026893968],"domain_scores_gemma":[0.9981983,0.00044815094,0.00016592773,0.00077294465,0.0003252695,0.00008946009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017418587,0.00026430408,0.00030517764,0.00019302736,0.0005332013,0.00013027676,0.0005313435,0.00014573037,0.0000030425083],"category_scores_gemma":[0.000042139476,0.00029627784,0.00006253246,0.00033629453,0.00013917065,0.0005993762,0.000078448786,0.00032099913,0.0000028053068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033099783,0.0006474476,0.0002798222,0.0007447395,0.0005966081,0.0000022930863,0.050745152,0.46795994,0.03931432,0.26511165,0.005656583,0.16861044],"study_design_scores_gemma":[0.000478353,0.000087975444,0.00050583103,0.00017276019,0.00002673312,0.0000055565033,0.00039870932,0.9917057,0.0027463601,0.0025791526,0.0009556538,0.00033721968],"about_ca_topic_score_codex":0.000056539317,"about_ca_topic_score_gemma":0.000055750166,"teacher_disagreement_score":0.92639625,"about_ca_system_score_codex":0.0002771193,"about_ca_system_score_gemma":0.000038990132,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W2016755560","doi":"10.1007/s11277-013-1115-y","title":"A Two-Way MIMO Relaying Scheme with Partial Channel State Information","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Channel state information; MIMO; Channel (broadcasting); Precoding; Block (permutation group theory); Lagrange multiplier; Scheme (mathematics); Multiplier (economics); Mathematical optimization; Wireless; Telecommunications; Mathematics","score_opus":0.03911372216403112,"score_gpt":0.2711581161934786,"score_spread":0.23204439402944751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016755560","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":[0.18975793,0.0019143384,0.7246408,0.046045944,0.00024354902,0.0017780195,0.000022923487,0.0012208879,0.03437563],"genre_scores_gemma":[0.94881445,0.00069766655,0.048843935,0.0010297045,0.000022881995,0.0003463516,0.000053787076,0.00001247119,0.00017873908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985426,0.0002586968,0.00036098782,0.00020607293,0.00030170384,0.00032990202],"domain_scores_gemma":[0.9969187,0.00020617829,0.00020007722,0.0020348344,0.00048814848,0.00015208697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031538086,0.00019455045,0.0001816787,0.00014913207,0.0010098785,0.00052302337,0.0024652365,0.00004432514,0.000053352764],"category_scores_gemma":[0.00003105937,0.00017465102,0.000060716997,0.00070501264,0.00020077788,0.00267181,0.0011093923,0.0004571612,0.00040525416],"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":[0.000043994398,0.00056325394,0.002601321,0.000052851567,0.00025657789,0.0000026316357,0.054940064,0.0006783969,0.0038157161,0.58057404,0.0051541924,0.35131696],"study_design_scores_gemma":[0.0008773921,0.00007666767,0.0025628323,0.00011163369,0.00000821896,0.000022875543,0.00084518327,0.9748689,0.0002594886,0.00054421416,0.019384665,0.00043793372],"about_ca_topic_score_codex":0.00014313219,"about_ca_topic_score_gemma":0.000171592,"teacher_disagreement_score":0.9741905,"about_ca_system_score_codex":0.00008820026,"about_ca_system_score_gemma":0.00014343666,"threshold_uncertainty_score":0.776727},"labels":[],"label_agreement":null},{"id":"W2017769244","doi":"10.1007/s11277-010-0001-0","title":"Privacy Analysis of Forward and Backward Untraceable RFID Authentication Schemes","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"RFID technology advancements","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheme (mathematics); TRACE (psycholinguistics); Computer security; Cryptography; Authentication (law); Security analysis; Pseudorandom number generator; Algorithm; Mathematics","score_opus":0.012504318199514863,"score_gpt":0.2629629051053263,"score_spread":0.2504585869058114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017769244","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":[0.99358886,0.00048144994,0.0042725243,0.000553795,0.000043053322,0.000121534395,0.000042844353,0.0001855852,0.0007103322],"genre_scores_gemma":[0.9828852,0.00052144646,0.016362077,0.000011935596,0.0000057433817,0.000048067923,0.0000870599,0.000016856551,0.00006160235],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993682,0.000018081584,0.00022605118,0.00012715807,0.000112974914,0.00014757241],"domain_scores_gemma":[0.99862003,0.000107177744,0.000064972264,0.0010767971,0.00008466602,0.00004637036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264703,0.000106768006,0.00020719899,0.00028203224,0.00013020693,0.00001557473,0.0005655785,0.00010584223,0.000068174355],"category_scores_gemma":[0.000042184827,0.00011945285,0.00006205556,0.0006633265,0.00029218185,0.00015899414,0.00016694517,0.00032875346,0.000009386002],"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":[0.000016938146,0.000380496,0.14926863,0.00016598681,0.0036670207,7.090741e-7,0.00486521,0.0007133802,0.66205025,0.13831286,0.0002833948,0.040275138],"study_design_scores_gemma":[0.00049744296,0.000024819949,0.09852942,0.000032422548,0.0009951832,0.0000046804375,0.0005438417,0.85948056,0.020510392,0.0013551435,0.01763532,0.00039077183],"about_ca_topic_score_codex":0.000014594502,"about_ca_topic_score_gemma":0.00014107421,"teacher_disagreement_score":0.8587672,"about_ca_system_score_codex":0.000022705584,"about_ca_system_score_gemma":0.0000146038465,"threshold_uncertainty_score":0.4871146},"labels":[],"label_agreement":null},{"id":"W2018091503","doi":"10.1007/s11277-012-0522-9","title":"A Time-Domain Scheduler for Intercell Interference Management in Autonomous Infrastructure Networks","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Macrocell; Computer science; Computer network; Cellular network; Interference (communication); Radio resource management; Software deployment; Distributed computing; Resource allocation; Wireless network; Channel (broadcasting); Wireless; Telecommunications; Base station","score_opus":0.02526982666706641,"score_gpt":0.28631228438950435,"score_spread":0.26104245772243795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018091503","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":[0.021392502,0.0009195597,0.9624335,0.002677713,0.0002711369,0.005060232,0.000015023236,0.00023198698,0.006998354],"genre_scores_gemma":[0.8968009,0.00007816218,0.098437704,0.0004238571,0.00010030606,0.003824118,0.000035086086,0.000021576201,0.00027834263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984061,0.00020140616,0.00036725734,0.00030556726,0.00014484176,0.00057484437],"domain_scores_gemma":[0.9979514,0.00025277503,0.00013638318,0.0014442997,0.000067075496,0.00014807672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005805371,0.00022635185,0.0002520172,0.00014871263,0.0002956773,0.00014906925,0.0027703883,0.00013000355,0.000040454066],"category_scores_gemma":[0.0000064995147,0.00022355719,0.0001102972,0.00044003528,0.00016291888,0.0005242412,0.0013253152,0.0004478186,0.000042349668],"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":[0.00012998993,0.0010756877,0.0048335427,0.00015533304,0.00022980115,0.000004620073,0.016713714,0.0037161657,0.0002814764,0.5722178,0.008527954,0.39211386],"study_design_scores_gemma":[0.00074414443,0.0000652042,0.0042573866,0.00018197199,0.000011104552,0.000012438301,0.00037820666,0.96323234,0.000021418144,0.002292945,0.02840928,0.0003935727],"about_ca_topic_score_codex":0.000013740358,"about_ca_topic_score_gemma":0.000035328685,"teacher_disagreement_score":0.95951617,"about_ca_system_score_codex":0.00016400256,"about_ca_system_score_gemma":0.00004505055,"threshold_uncertainty_score":0.91163975},"labels":[],"label_agreement":null},{"id":"W2018503434","doi":"10.1007/s11277-010-0174-6","title":"A Survey of Distributed Relay Selection Schemes in Cooperative Wireless Ad hoc Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Relay; Computer science; Cooperative diversity; Computer network; Relay channel; Selection (genetic algorithm); Wireless; Transmission (telecommunications); MIMO; Antenna diversity; Wireless ad hoc network; Node (physics); Transmitter; Channel (broadcasting); Distributed computing; Telecommunications; Fading","score_opus":0.04737057116960437,"score_gpt":0.3060006424950873,"score_spread":0.25863007132548294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018503434","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":[0.76494014,0.0044146148,0.22615723,0.0029302991,0.00023854314,0.0005513254,0.000071545124,0.00021974999,0.00047656553],"genre_scores_gemma":[0.98872954,0.0044592284,0.0062246583,0.0001119471,0.000016084736,0.00010388677,0.00026865257,0.000018250312,0.00006777105],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974946,0.0009810579,0.00056877,0.00037396114,0.0002529803,0.00032867864],"domain_scores_gemma":[0.99588543,0.000986399,0.00026220674,0.0018544107,0.0008953992,0.00011616021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012124783,0.00023148027,0.00036722588,0.00019510972,0.000558996,0.0001286008,0.0029395227,0.00017434363,0.00003546316],"category_scores_gemma":[0.00021995344,0.00024098171,0.00007997675,0.0023461366,0.00039767555,0.00048802356,0.0010798727,0.0012828836,0.000009975137],"study_design_candidate":"simulation_or_modeling","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":[0.00021581388,0.003299312,0.15662819,0.000057055502,0.00033399058,0.0000054165557,0.013362291,0.0049962467,0.047470495,0.32886678,0.0022180132,0.4425464],"study_design_scores_gemma":[0.0005099333,0.000056502835,0.11704056,0.00006975115,0.0000059822705,0.0000071282707,0.00010074913,0.8782755,0.00040449918,0.000021117823,0.0032283566,0.00027989442],"about_ca_topic_score_codex":0.00013160601,"about_ca_topic_score_gemma":0.021870298,"teacher_disagreement_score":0.8732793,"about_ca_system_score_codex":0.00009276709,"about_ca_system_score_gemma":0.00028954563,"threshold_uncertainty_score":0.995978},"labels":[],"label_agreement":null},{"id":"W2020902546","doi":"10.1007/s11277-010-0029-1","title":"CSI-Based Resource Allocation for OFDM Downlink Broadband Multimedia Services in Cellular Systems","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","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":"McGill University","funders":"","keywords":"Computer science; Orthogonal frequency-division multiplexing; Channel state information; Fading; Telecommunications link; Resource allocation; Throughput; Computer network; Interference (communication); Wireless; Multiplexing; Wireless broadband; Channel (broadcasting); Telecommunications; Wireless network","score_opus":0.011885299747954728,"score_gpt":0.2359899756665547,"score_spread":0.22410467591859995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020902546","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":[0.7044109,0.0043035075,0.28196427,0.0016798049,0.0009080291,0.002967742,0.00030025092,0.0013206957,0.0021447947],"genre_scores_gemma":[0.97299075,0.00013593669,0.024672015,0.00005156907,0.00013165988,0.0005671037,0.001319948,0.00007506341,0.00005593464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881065,0.00007202149,0.0003997269,0.00022999807,0.0001812419,0.00030638737],"domain_scores_gemma":[0.9982126,0.0004516602,0.0001019834,0.0009928864,0.00014598624,0.000094897056],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027293217,0.00021852112,0.00024033504,0.00017905446,0.00023105732,0.00007075846,0.0007351293,0.00021157633,0.000010095832],"category_scores_gemma":[0.00002058432,0.00025382696,0.00006662209,0.00037459965,0.00011617599,0.00021540772,0.00006039478,0.0005063306,0.000013044092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038524697,0.00017535152,0.0012420127,0.00040717586,0.000040141713,8.568292e-7,0.0020809069,0.92886347,0.05327618,0.0017812471,0.00024450207,0.0118496595],"study_design_scores_gemma":[0.0007200007,0.0000112884745,0.0005197366,0.00011700099,0.000017476646,0.000001314371,0.0004033862,0.9845078,0.0010795111,0.000026752965,0.012336547,0.00025917825],"about_ca_topic_score_codex":0.00008760455,"about_ca_topic_score_gemma":0.0010980092,"teacher_disagreement_score":0.26857984,"about_ca_system_score_codex":0.00010060671,"about_ca_system_score_gemma":0.000041505966,"threshold_uncertainty_score":0.9999914},"labels":[],"label_agreement":null},{"id":"W2024664037","doi":"10.1007/s11277-010-0217-z","title":"BER Performance of OFDM Signals in Presence of Nonlinear Distortion due to SSPA","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Amplifier; Orthogonal frequency-division multiplexing; Computer science; Subcarrier; Bit error rate; Nonlinear distortion; Intermodulation; Degradation (telecommunications); Electronic engineering; Telecommunications; Bandwidth (computing); Engineering; Channel (broadcasting)","score_opus":0.04632466030967108,"score_gpt":0.26404163232849187,"score_spread":0.2177169720188208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024664037","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":[0.9945681,0.00025699026,0.00056314626,0.00007723933,0.000065954424,0.00015158916,0.000033259304,0.00004123065,0.004242486],"genre_scores_gemma":[0.99403554,0.00018708243,0.0056058806,0.000007209107,0.000013552942,0.00005614142,0.000013694528,0.00001655279,0.00006433146],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999267,0.000044301883,0.00032870244,0.000089147296,0.00014581866,0.00012506421],"domain_scores_gemma":[0.9990759,0.000071839626,0.00006664771,0.0006373806,0.00009990893,0.000048328984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015586035,0.00008829927,0.0001767172,0.00014569465,0.000041514635,0.0000028214954,0.0005326535,0.000050265782,0.000071558585],"category_scores_gemma":[0.00002663094,0.00010015002,0.000042608102,0.00034383798,0.00014481682,0.00013989663,0.00010111378,0.00017003922,0.000018393197],"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":[0.00041408802,0.0030738597,0.21533704,0.001994848,0.00042719414,0.0000064973256,0.15087438,0.06375128,0.48807245,0.0069874153,0.0021846318,0.06687631],"study_design_scores_gemma":[0.0006446532,0.00022372197,0.29940438,0.000769583,0.00004542919,0.00002436555,0.0025143665,0.54651946,0.14684413,0.00012155954,0.0022676329,0.00062073546],"about_ca_topic_score_codex":0.00021440642,"about_ca_topic_score_gemma":0.00015842447,"teacher_disagreement_score":0.48276818,"about_ca_system_score_codex":0.00005696612,"about_ca_system_score_gemma":0.000027690812,"threshold_uncertainty_score":0.4083999},"labels":[],"label_agreement":null},{"id":"W2024968432","doi":"10.1007/s11277-008-9457-6","title":"A Generalized Saturation Throughput Analysis for IEEE 802.11e Contention-Based MAC","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; IEEE 802; Network allocation vector; Access control; Throughput; Quality of service; Frame (networking); IEEE 802.11; Media access control; Protocol (science); IEEE 802.11e-2005; Service (business); Wireless network; Wireless; Telecommunications","score_opus":0.10175382702439828,"score_gpt":0.3234576662817189,"score_spread":0.22170383925732062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024968432","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":[0.022238228,0.00043829004,0.967341,0.006328812,0.00012617573,0.002787581,0.00006342069,0.00024452744,0.00043198682],"genre_scores_gemma":[0.9137662,0.00011118917,0.07983724,0.0008546519,0.00009627297,0.004688297,0.00026999906,0.000017836544,0.0003583257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981803,0.00029203345,0.0004335235,0.00042489605,0.000333005,0.00033620527],"domain_scores_gemma":[0.99684906,0.00051806326,0.00025645722,0.001834432,0.00042334746,0.0001186279],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00035323185,0.00021941913,0.00037839112,0.0002149915,0.0013121087,0.00016834159,0.0019327534,0.0001264767,0.000024643405],"category_scores_gemma":[0.000022845928,0.00021517603,0.00047137853,0.0012401515,0.00022099374,0.00040782697,0.00015922089,0.00023336863,0.000017442913],"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":[0.00047266242,0.0030317388,0.044479027,0.00023586293,0.004139968,0.000024349416,0.014160817,0.035406332,0.014598011,0.80697334,0.029995365,0.046482503],"study_design_scores_gemma":[0.0010885965,0.00008670285,0.0054696216,0.000026133233,0.00010776709,0.0000065494723,0.000038257076,0.9824559,0.00039219455,0.0005957439,0.009417373,0.0003151353],"about_ca_topic_score_codex":0.0002262628,"about_ca_topic_score_gemma":0.0004212008,"teacher_disagreement_score":0.9470496,"about_ca_system_score_codex":0.00009363505,"about_ca_system_score_gemma":0.00022463265,"threshold_uncertainty_score":0.999988},"labels":[],"label_agreement":null},{"id":"W2027636718","doi":"10.1007/s11277-006-9137-3","title":"Outage Probability with Correlated Lognormal Interferers using Log Shifted Gamma Approximation","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Log-normal distribution; Interference (communication); Range (aeronautics); Statistics; Noise (video); Computation; Mathematics; Computer science; Random variable; Statistical physics; Applied mathematics; Algorithm; Physics; Telecommunications; Channel (broadcasting)","score_opus":0.05230715569329771,"score_gpt":0.283161829474717,"score_spread":0.2308546737814193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027636718","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":[0.4122378,0.00041847606,0.5770824,0.0037719563,0.00006722206,0.00087792415,0.00001791968,0.0005645815,0.004961763],"genre_scores_gemma":[0.90624785,0.00004371654,0.09306862,0.00008284639,0.00003460172,0.00014928114,0.00017860522,0.00003390921,0.00016056438],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967168,0.00086510816,0.00061333587,0.0005542799,0.0006614461,0.0005890237],"domain_scores_gemma":[0.99445766,0.00054147065,0.00032939014,0.003927983,0.0005899127,0.00015356031],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008318762,0.0003184663,0.00033593524,0.00027344047,0.000972071,0.00041192296,0.0047822976,0.00018726835,0.000029439138],"category_scores_gemma":[0.000044849043,0.00029955423,0.00011404485,0.0015063249,0.00078496896,0.0010955972,0.0017789578,0.0010063291,0.000035507426],"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":[0.0004244729,0.0044917497,0.057220034,0.0002711988,0.00042723856,0.000032243097,0.010970354,0.033044223,0.007843921,0.82612056,0.0011922059,0.057961818],"study_design_scores_gemma":[0.0006513466,0.000076456316,0.008931345,0.00010958608,0.000018556462,0.000052328563,0.00020175923,0.9869095,0.00022267745,0.0018747532,0.0005634133,0.00038828375],"about_ca_topic_score_codex":0.0007942077,"about_ca_topic_score_gemma":0.0009015772,"teacher_disagreement_score":0.9538653,"about_ca_system_score_codex":0.00041185447,"about_ca_system_score_gemma":0.000357792,"threshold_uncertainty_score":0.99994564},"labels":[],"label_agreement":null},{"id":"W2029885551","doi":"10.1007/s11277-006-9156-0","title":"Ultra-Wideband and Uni-Directional Radiation Slot Antenna for Multi-Band Wireless Communication Applications","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":7,"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; Université du Québec à Montréal","funders":"","keywords":"UMTS frequency bands; Computer science; Stub (electronics); Wideband; Return loss; Microstrip; Slot antenna; Wireless; Radiation pattern; Omnidirectional antenna; Microstrip antenna; Telecommunications; Electrical engineering; Antenna (radio); Electronic engineering; Engineering","score_opus":0.024394789832169025,"score_gpt":0.25585956093377926,"score_spread":0.23146477110161023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029885551","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":[0.028293582,0.011758064,0.95429116,0.0014635377,0.00005411891,0.0010488337,0.00037825925,0.0006493152,0.0020631503],"genre_scores_gemma":[0.9869167,0.00392942,0.0065500448,0.000072899405,0.000086202184,0.0007831426,0.0010919905,0.000056671244,0.0005129381],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987964,0.0001011103,0.00041230032,0.00025354663,0.00016586488,0.00027079525],"domain_scores_gemma":[0.9983599,0.0004068749,0.00010992437,0.0008149358,0.00021289132,0.00009546403],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002667455,0.00024192409,0.00027982867,0.00020106143,0.0008971701,0.00011743328,0.00052612927,0.00013728635,0.000015088053],"category_scores_gemma":[0.00001357123,0.00026842963,0.00013571636,0.00042991637,0.00031444366,0.0002605674,0.00004082967,0.0002695543,0.000012958009],"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":[0.00008263514,0.0011401155,0.015284241,0.0004002951,0.0007197756,9.596329e-7,0.002458564,0.000564494,0.8336921,0.108231544,0.0029038996,0.034521412],"study_design_scores_gemma":[0.0012559224,0.000024619443,0.006892146,0.00007447449,0.00018123591,0.000018554258,0.0007778659,0.97247833,0.0017090391,0.0008642668,0.015163757,0.0005597919],"about_ca_topic_score_codex":0.00024923982,"about_ca_topic_score_gemma":0.00068428856,"teacher_disagreement_score":0.9719138,"about_ca_system_score_codex":0.00011815008,"about_ca_system_score_gemma":0.00003804076,"threshold_uncertainty_score":0.9999768},"labels":[],"label_agreement":null},{"id":"W2030141715","doi":"10.1007/s11277-014-1848-2","title":"A Novel and Efficient Mapping of 32-QAM Constellation for BICM-ID Systems","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"University of Tabriz","keywords":"Computer science; Euclidean distance; Algorithm; Decoding methods; Hamming distance; Additive white Gaussian noise; Fading; Quadrature amplitude modulation; Constellation; Spectral efficiency; Telecommunications; White noise; Artificial intelligence; Bit error rate","score_opus":0.034303227493684224,"score_gpt":0.2634423041235032,"score_spread":0.229139076629819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030141715","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":[0.09212944,0.0030414732,0.8973078,0.00038310236,0.000094762654,0.00090259174,0.00013907554,0.00060802733,0.0053937114],"genre_scores_gemma":[0.9604343,0.00057062856,0.038676914,0.000017322556,0.000019979423,0.00014058343,0.00008660092,0.0000381474,0.000015518406],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999097,0.00006433178,0.00039939885,0.00014046715,0.00013045277,0.00016836061],"domain_scores_gemma":[0.99788797,0.00071829057,0.00013903307,0.0010356791,0.0001601218,0.00005891446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033678298,0.00015289606,0.0002650896,0.0001636399,0.00022485248,0.000030235786,0.0005419143,0.000092240596,0.0000022442455],"category_scores_gemma":[0.00003904547,0.0001723923,0.000053359738,0.00020775174,0.00025748395,0.00008148764,0.00016492563,0.00018008344,0.0000017277714],"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":[0.000034351277,0.0004062849,0.0008663121,0.0015578177,0.00024477698,8.779738e-8,0.006279024,0.084127285,0.44720381,0.3703218,0.00054396136,0.0884145],"study_design_scores_gemma":[0.0003492119,0.000024022433,0.00029710928,0.00018547654,0.00001624228,0.000007322334,0.00064896385,0.98230606,0.0021632807,0.00011683111,0.01369081,0.0001946451],"about_ca_topic_score_codex":0.000032731736,"about_ca_topic_score_gemma":0.000010890673,"teacher_disagreement_score":0.8981788,"about_ca_system_score_codex":0.000064553846,"about_ca_system_score_gemma":0.00001823643,"threshold_uncertainty_score":0.7029954},"labels":[],"label_agreement":null},{"id":"W2030167886","doi":"10.1007/s11277-011-0301-z","title":"Multi-Path Routing Protocol with Unavailable Areas Identification in Wireless Sensor Networks","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Wireless Routing Protocol; Routing protocol; Path vector protocol; Zone Routing Protocol; Wireless sensor network; Dynamic Source Routing; Distance-vector routing protocol; Enhanced Interior Gateway Routing Protocol; Protocol (science); Neighbor Discovery Protocol; Optimized Link State Routing Protocol; Path (computing); Distributed computing; Routing (electronic design automation); Internet Protocol","score_opus":0.05079670940391495,"score_gpt":0.27350199589725466,"score_spread":0.2227052864933397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030167886","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":[0.08794273,0.00010914733,0.88110214,0.0007042545,0.00020270335,0.02304488,0.000011914571,0.0009778542,0.0059043677],"genre_scores_gemma":[0.90131897,0.00003322725,0.07984134,0.00012588337,0.000040878364,0.018144365,0.000032198895,0.00005860513,0.000404524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965358,0.0005597284,0.00077849685,0.00084632426,0.00050099666,0.00077869964],"domain_scores_gemma":[0.9955441,0.0002713351,0.00051287067,0.0031059373,0.00036002178,0.00020573502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008305799,0.00041639482,0.0004069292,0.0002844056,0.00069640524,0.00026134137,0.0035455225,0.00022141078,0.0000237072],"category_scores_gemma":[0.000028897606,0.00039924958,0.00010921579,0.0016489457,0.00039552088,0.00077188533,0.0008548422,0.0008646537,0.000054612115],"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":[0.00088664255,0.016070096,0.3173202,0.00036754482,0.0006303723,0.00036735708,0.068021975,0.12774912,0.012407593,0.3751462,0.00096005737,0.080072835],"study_design_scores_gemma":[0.0011041393,0.00006896335,0.025857167,0.00027738416,0.000013515162,0.00004025945,0.0005573386,0.97086084,0.00038801756,0.00002400846,0.00028578422,0.00052257907],"about_ca_topic_score_codex":0.00071707706,"about_ca_topic_score_gemma":0.0013152026,"teacher_disagreement_score":0.84311175,"about_ca_system_score_codex":0.00024053005,"about_ca_system_score_gemma":0.0001818535,"threshold_uncertainty_score":0.9998459},"labels":[],"label_agreement":null},{"id":"W2032226017","doi":"10.1007/s11277-011-0451-z","title":"Transceiver Design for MIMO Systems with Improper Modulations","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":14,"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 Saskatchewan","funders":"","keywords":"Transceiver; Computer science; Transmitter; Keying; Channel state information; Channel (broadcasting); MIMO; Joint (building); Binary number; Telecommunications; Algorithm; Wireless; Mathematics; Arithmetic","score_opus":0.09506857704939306,"score_gpt":0.2603700960402095,"score_spread":0.16530151899081644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032226017","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":[0.0067542368,0.0013789299,0.98108006,0.00014575965,0.000050070714,0.0012664087,0.00009373851,0.0012245801,0.008006219],"genre_scores_gemma":[0.8306067,0.00055028294,0.16684222,0.000022070397,0.000016437156,0.001616762,0.00007138254,0.00008484267,0.00018931116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898934,0.000100149686,0.00030848308,0.00018528984,0.00014479534,0.00027196287],"domain_scores_gemma":[0.9977511,0.0002250174,0.00006830635,0.0016178293,0.00024459016,0.00009313647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017955985,0.00022884148,0.00023524836,0.00013169592,0.0004109198,0.00003778455,0.0011347351,0.00010891483,0.000023094804],"category_scores_gemma":[0.000008338042,0.00021590084,0.00008011005,0.00026461895,0.0002488332,0.00033258332,0.00005641841,0.00028601507,0.000015973561],"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":[0.0009697149,0.003068577,0.0034351826,0.0016635495,0.0029064675,0.000009103331,0.09768656,0.15839918,0.10898195,0.47707334,0.00858903,0.13721734],"study_design_scores_gemma":[0.0007796539,0.00017333061,0.0011755365,0.00018182777,0.000102410835,0.000022846652,0.0012307172,0.9788788,0.005746484,0.0008504231,0.010110043,0.0007479067],"about_ca_topic_score_codex":0.000043283988,"about_ca_topic_score_gemma":0.000054468022,"teacher_disagreement_score":0.8238525,"about_ca_system_score_codex":0.00010449471,"about_ca_system_score_gemma":0.000044373002,"threshold_uncertainty_score":0.8804181},"labels":[],"label_agreement":null},{"id":"W2033708485","doi":"10.1007/s11277-011-0387-3","title":"A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Provisioning; Context (archaeology); Ubiquitous computing; Task (project management); Service (business); Relevance (law); Reputation; World Wide Web; Context awareness; Human–computer interaction; Service provider; Telecommunications","score_opus":0.09774780789140862,"score_gpt":0.2818962769179205,"score_spread":0.18414846902651189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033708485","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":[0.083328664,0.0009067442,0.9026552,0.0025011837,0.00013394991,0.0025689527,0.00007821055,0.00028187176,0.007545245],"genre_scores_gemma":[0.9317282,0.00006448751,0.06632492,0.00037476595,0.000020579546,0.00094496703,0.000071459595,0.000023982797,0.00044664356],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810725,0.00033856323,0.00037263436,0.0005009343,0.00031395038,0.0003666423],"domain_scores_gemma":[0.9977933,0.00040120052,0.00021451336,0.0013391625,0.00013078109,0.00012105192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049672136,0.00021467786,0.00029684248,0.00022992527,0.0004100563,0.00010548806,0.002380296,0.00010713361,0.000023396542],"category_scores_gemma":[0.00005012219,0.00022946073,0.0001358441,0.000673352,0.00011260692,0.00076536543,0.00074535084,0.00030211685,0.000048442755],"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":[0.00047662228,0.011935173,0.056768358,0.0007759477,0.0007332666,0.000025169966,0.3613368,0.000051383002,0.011524002,0.24948217,0.0011403632,0.30575076],"study_design_scores_gemma":[0.0063101593,0.00024549288,0.035201423,0.0003525748,0.00007901199,0.00013589334,0.01801954,0.9044732,0.0007665482,0.0008750222,0.032023966,0.001517191],"about_ca_topic_score_codex":0.00045251515,"about_ca_topic_score_gemma":0.00022251258,"teacher_disagreement_score":0.9044218,"about_ca_system_score_codex":0.00019642693,"about_ca_system_score_gemma":0.00016568185,"threshold_uncertainty_score":0.93571365},"labels":[],"label_agreement":null},{"id":"W2034106633","doi":"10.1007/s11277-005-6496-0","title":"A Novel Approach to Cell Coverage Area Determination for FDMA–CDMA Systems","year":2005,"lang":"en","type":"article","venue":"Wireless Personal 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 Victoria","funders":"","keywords":"Computer science; Quality of service; Base station; Signal-to-interference ratio; Code division multiple access; Computer network; Transmission (telecommunications); Cellular network; Power control; Interference (communication); Power (physics); Real-time computing; Telecommunications","score_opus":0.08054382033155147,"score_gpt":0.3130445976143018,"score_spread":0.23250077728275034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034106633","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":[0.004428026,0.00068833574,0.97119874,0.0064646015,0.00008774223,0.001437547,0.00007112425,0.00027055433,0.0153533425],"genre_scores_gemma":[0.7751515,0.00018178625,0.22136423,0.00038813343,0.00009412627,0.0015286194,0.00012449067,0.00003447518,0.0011326392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974606,0.00027600577,0.0005293859,0.0005578496,0.0006075457,0.00056861073],"domain_scores_gemma":[0.99380815,0.0010295752,0.00021065355,0.004040812,0.00061666855,0.00029412936],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00081687066,0.00027287926,0.00032129016,0.00032656873,0.0009863863,0.00058018795,0.006899544,0.00015407565,0.000004373986],"category_scores_gemma":[0.000076323835,0.00029318512,0.00015878495,0.0009460455,0.0001442104,0.0007702388,0.0018011412,0.0004798022,0.00007803225],"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":[0.000107214066,0.006662842,0.00029731315,0.0003898711,0.00015747533,0.0000011839555,0.022647267,0.045847222,0.02945421,0.551188,0.01501582,0.3282316],"study_design_scores_gemma":[0.0006218657,0.00005445689,0.00027114645,0.000046454246,0.000008871932,0.000019026644,0.00023905194,0.941536,0.00020153953,0.00006216014,0.056610372,0.0003290436],"about_ca_topic_score_codex":0.000082863444,"about_ca_topic_score_gemma":0.00007191653,"teacher_disagreement_score":0.8956888,"about_ca_system_score_codex":0.00036994633,"about_ca_system_score_gemma":0.0002338548,"threshold_uncertainty_score":0.999952},"labels":[],"label_agreement":null},{"id":"W2037693768","doi":"10.1007/s11277-006-9143-5","title":"Diversity Combining Options and Low-Complexity MMSE Equalization for Spread Spectrum OFDM Systems in Frequency Selective Fading Channels","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Fading; Orthogonal frequency-division multiplexing; Equalization (audio); Diversity scheme; Diversity combining; Subcarrier; Bit error rate; Algorithm; Minimum mean square error; Electronic engineering; Time diversity; Telecommunications; Channel (broadcasting); Mathematics; Statistics; Engineering","score_opus":0.04650192684113717,"score_gpt":0.28120562537866756,"score_spread":0.23470369853753037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037693768","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":[0.80051637,0.0046408502,0.1876299,0.0008131227,0.00018246224,0.0018146833,0.0002620492,0.0013988554,0.0027416877],"genre_scores_gemma":[0.98857504,0.0008993223,0.009661219,0.00001704128,0.000039056144,0.00040690976,0.0003204525,0.000049900424,0.000031058993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865,0.00016960024,0.0004327498,0.00024994,0.00016333838,0.00033435895],"domain_scores_gemma":[0.9983368,0.000517218,0.00013336854,0.0008075841,0.00014009139,0.000064974774],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031671344,0.00023740747,0.0003189293,0.00030022918,0.0012917296,0.000067538866,0.0007468351,0.00013670645,0.00000370631],"category_scores_gemma":[0.000039320792,0.00030458922,0.00006526674,0.00050902134,0.0002675665,0.00045651195,0.00059985346,0.00038881876,0.0000026160806],"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":[0.000026391674,0.00042457983,0.015425999,0.00043678566,0.00008383841,0.0000016210766,0.010334626,0.03513668,0.015204217,0.9216663,0.00023146717,0.0010274741],"study_design_scores_gemma":[0.0012184776,0.000071566945,0.01718677,0.0005139356,0.000041800507,0.00001616266,0.001805356,0.9184997,0.0021304435,0.057317186,0.0003219298,0.0008766568],"about_ca_topic_score_codex":0.0017980261,"about_ca_topic_score_gemma":0.0016704096,"teacher_disagreement_score":0.883363,"about_ca_system_score_codex":0.00043201444,"about_ca_system_score_gemma":0.000029602466,"threshold_uncertainty_score":0.99994063},"labels":[],"label_agreement":null},{"id":"W2038655802","doi":"10.1007/s11277-010-9982-y","title":"A Random Access Protocol with Multi-Packet Reception for Infrastructure-Less Wireless Autonomic Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; Computer science; Retransmission; Node (physics); Throughput; Network packet; Transmission (telecommunications); Wireless network; Base station; Real-time computing; Wireless; Telecommunications; Engineering","score_opus":0.04264848221658949,"score_gpt":0.33363730686037646,"score_spread":0.29098882464378695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038655802","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":[0.012950162,0.000015977772,0.85429204,0.0020266236,0.00025158198,0.12950274,0.000042955056,0.00046312448,0.0004547683],"genre_scores_gemma":[0.53232604,0.000014550072,0.07321705,0.00030203702,0.00024171922,0.39364424,0.00008575807,0.000058975824,0.00010963145],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972613,0.00029910676,0.00062718376,0.00076425716,0.0003419933,0.0007061624],"domain_scores_gemma":[0.99526435,0.0006410822,0.0005315695,0.0028185528,0.0004633565,0.00028108206],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0008090561,0.0004811443,0.00055260723,0.0001782003,0.0012641617,0.0010175529,0.0056971945,0.00034645636,0.000038564343],"category_scores_gemma":[0.000028775368,0.00040898085,0.0002133083,0.0007020437,0.0004969167,0.0012723736,0.0011236293,0.0012359102,0.000009961838],"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":[0.0027289155,0.0021634623,0.020048464,0.0004859279,0.0005511678,0.000009535231,0.006052393,0.015947858,0.005761254,0.16051187,0.009686673,0.7760525],"study_design_scores_gemma":[0.005787367,0.00016016935,0.0061143013,0.00015581604,0.000024767149,0.000034747256,0.000086256885,0.9610243,0.00023154926,0.0005397716,0.025192844,0.0006481162],"about_ca_topic_score_codex":0.00011041085,"about_ca_topic_score_gemma":0.0015481306,"teacher_disagreement_score":0.9450764,"about_ca_system_score_codex":0.00011164028,"about_ca_system_score_gemma":0.00046203204,"threshold_uncertainty_score":0.9998362},"labels":[],"label_agreement":null},{"id":"W2039538491","doi":"10.1007/s11277-013-1034-y","title":"A Low-Complexity Hybrid Framework for Combining-Type Non-regenerative MIMO Relaying","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","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":"McGill University","funders":"","keywords":"Computer science; Relay; Channel (broadcasting); MIMO; Algorithm; Parametric statistics; Decoding methods; Matrix (chemical analysis); Computational complexity theory; Topology (electrical circuits); Telecommunications; Mathematics","score_opus":0.09812330649789267,"score_gpt":0.33027850818480986,"score_spread":0.2321552016869172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039538491","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":[0.09162938,0.0014538184,0.8815559,0.019952893,0.00038162817,0.001327051,0.00002123311,0.00038629497,0.0032918088],"genre_scores_gemma":[0.7881278,0.0006328115,0.20910557,0.0012451209,0.00006234089,0.0004838329,0.00008191734,0.000025208705,0.00023540604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980539,0.00035323808,0.00044545243,0.00045392007,0.0002527981,0.00044066],"domain_scores_gemma":[0.99449855,0.0012636286,0.00022967687,0.002951218,0.00086607615,0.00019086288],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00035204503,0.00027827482,0.00033427973,0.00012990771,0.0018866784,0.00045433725,0.004138903,0.000097622884,0.00009254512],"category_scores_gemma":[0.00020356037,0.00028605966,0.00016148011,0.0006974709,0.00039435062,0.00071163237,0.0015725261,0.00066409167,0.0002003347],"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":[0.000011302773,0.00037154957,0.00027883466,0.000027047343,0.00006893579,6.501435e-7,0.0061613442,0.00003234145,0.0049104583,0.9463722,0.0063850605,0.03538029],"study_design_scores_gemma":[0.0007904067,0.00018926592,0.003108961,0.00031669147,0.000022510316,0.000017191427,0.00068417884,0.9476355,0.0024468128,0.037170265,0.0068484675,0.0007697617],"about_ca_topic_score_codex":0.00004914565,"about_ca_topic_score_gemma":0.00006932369,"teacher_disagreement_score":0.94760317,"about_ca_system_score_codex":0.00012733787,"about_ca_system_score_gemma":0.00021624855,"threshold_uncertainty_score":0.9999592},"labels":[],"label_agreement":null},{"id":"W2041649115","doi":"10.1007/s11277-007-9253-8","title":"Performance evaluation of spatially multiplexed MIMO systems with subset antenna transmission in interference limited environments","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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 Alberta","funders":"","keywords":"MIMO; Computer science; Spatial multiplexing; Interference (communication); Antenna (radio); Multi-user MIMO; Multiplexing; Transmission (telecommunications); Channel (broadcasting); 3G MIMO; Electronic engineering; Orthogonal frequency-division multiplexing; Fading; Telecommunications; Engineering","score_opus":0.03558307281108469,"score_gpt":0.2616087852120273,"score_spread":0.2260257124009426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041649115","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":[0.8368435,0.00092367054,0.16064142,0.000026027821,0.000054239128,0.00068884186,0.0000188734,0.000070227085,0.0007331825],"genre_scores_gemma":[0.9942618,0.0005245759,0.004903994,0.000002955902,0.000009732688,0.000085882864,0.00015525847,0.000033811106,0.000021959802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871176,0.00012530445,0.00047109698,0.00015593911,0.00033140313,0.00020446898],"domain_scores_gemma":[0.99898446,0.00012566184,0.00012639374,0.00057913864,0.0001269535,0.0000573763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074238627,0.00016407364,0.00021717107,0.00020194166,0.000080933016,0.0000117635855,0.00038142965,0.00008949682,0.000008455398],"category_scores_gemma":[0.000015977881,0.0001612349,0.000026976266,0.00034905042,0.00010289017,0.00025808203,0.000034649976,0.00022031317,0.0000044264425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001556257,0.00031629374,0.022757012,0.00023963381,0.00007599581,0.0000011919784,0.0074153203,0.73882276,0.19981651,0.00007922156,0.000004481827,0.030315954],"study_design_scores_gemma":[0.0008801551,0.000051061394,0.021396307,0.00054664875,0.000029676388,0.0000054035195,0.0006604111,0.973937,0.0022650629,0.0000011590776,0.00005761545,0.00016951948],"about_ca_topic_score_codex":0.00008724364,"about_ca_topic_score_gemma":0.00040501132,"teacher_disagreement_score":0.23511422,"about_ca_system_score_codex":0.0002589491,"about_ca_system_score_gemma":0.000037170306,"threshold_uncertainty_score":0.65749687},"labels":[],"label_agreement":null},{"id":"W2041940991","doi":"10.1007/s11277-007-9296-x","title":"Delay analysis and dynamic tuning of an acknowledged mode radio link control protocol","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; National Natural Science Foundation of China","keywords":"Computer science; Retransmission; RLC circuit; Markov chain; Computer network; Network packet; Frame (networking); Transmission (telecommunications); Real-time computing; Algorithm; Telecommunications","score_opus":0.02664740285484257,"score_gpt":0.3586473493223112,"score_spread":0.3319999464674686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041940991","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":[0.051826034,0.00034002282,0.93413216,0.0020754116,0.000022393333,0.009996927,0.00002305314,0.00020955212,0.0013744292],"genre_scores_gemma":[0.9324478,0.00007500245,0.06225658,0.00005956194,0.000021875783,0.0049978974,0.00004517873,0.00002120701,0.00007493169],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99723214,0.0007729247,0.0006434406,0.00041542228,0.00049672835,0.00043934726],"domain_scores_gemma":[0.99360603,0.00118659,0.0003155987,0.0039651557,0.00064886734,0.00027777939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019288644,0.0002177845,0.00044714572,0.0006733448,0.0007101627,0.00016108814,0.0046968916,0.00014975845,0.000014617916],"category_scores_gemma":[0.000080373364,0.00022323256,0.00016171236,0.002230819,0.0005779422,0.0006426586,0.001203693,0.0006923639,0.000007588786],"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":[0.00037701227,0.0022216248,0.027568724,0.00021264922,0.0024716184,0.000017476304,0.02288576,0.0041721533,0.025940519,0.11122151,0.000089811474,0.80282116],"study_design_scores_gemma":[0.0008531455,0.000076258075,0.022007138,0.00003563373,0.00006594557,0.000010629271,0.0001897815,0.9755133,0.00016319922,0.00028074527,0.00058236625,0.00022184805],"about_ca_topic_score_codex":0.000257406,"about_ca_topic_score_gemma":0.0032068922,"teacher_disagreement_score":0.97134113,"about_ca_system_score_codex":0.00013469478,"about_ca_system_score_gemma":0.0001982896,"threshold_uncertainty_score":0.91031593},"labels":[],"label_agreement":null},{"id":"W2046224890","doi":"10.1007/s11277-006-9121-y","title":"Complexity Reduction in SISO Decoding of Block Codes","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","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":"McGill University","funders":"","keywords":"Computer science; Algorithm; Trellis (graph); Decoding methods; Viterbi decoder; Convolutional code; Additive white Gaussian noise; Bit error rate; Block (permutation group theory); Viterbi algorithm; Phase-shift keying; Reduction (mathematics); Soft-decision decoder; Channel (broadcasting); Mathematics; Telecommunications","score_opus":0.039639268691425596,"score_gpt":0.2858247378775376,"score_spread":0.246185469186112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046224890","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":[0.9691379,0.0026983197,0.009836737,0.0006789883,0.000057838795,0.00037168319,0.00006492829,0.0008354031,0.016318167],"genre_scores_gemma":[0.9644868,0.0010646903,0.03416576,0.000006974278,0.00001856675,0.00009176014,0.00010188668,0.000032686272,0.000030902323],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998949,0.000106627434,0.0004761457,0.00012871111,0.00014881747,0.00019067724],"domain_scores_gemma":[0.9984433,0.00016423342,0.00010398067,0.0011557342,0.000101299695,0.000031433297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019267667,0.00015033165,0.0002542374,0.00022289148,0.00014949116,0.000015879137,0.0008436959,0.00008830231,0.000014311405],"category_scores_gemma":[0.000013404191,0.00018539219,0.0000690103,0.0004764429,0.00037916456,0.00019419685,0.00017882495,0.00035843372,0.0000057949837],"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":[0.00005217842,0.0014049264,0.018190058,0.0004307633,0.00012705529,0.0000022402598,0.0048465896,0.03402256,0.49544355,0.3986371,0.0021794203,0.04466358],"study_design_scores_gemma":[0.001170725,0.00006259391,0.044637,0.00063314714,0.000047326354,0.00005461435,0.0027630997,0.80276954,0.11418733,0.026287356,0.006190472,0.0011968177],"about_ca_topic_score_codex":0.00044220363,"about_ca_topic_score_gemma":0.0010776029,"teacher_disagreement_score":0.768747,"about_ca_system_score_codex":0.00017484675,"about_ca_system_score_gemma":0.000022745864,"threshold_uncertainty_score":0.7560074},"labels":[],"label_agreement":null},{"id":"W2046768425","doi":"10.1007/s11277-006-9148-0","title":"Maximum Likelihood (ML) Symbol Timing Recovery (STR) Techniques for Reconfigurable PAM and QAM Modems","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Algorithm; Additive white Gaussian noise; QAM; Transmission (telecommunications); Interpolation (computer graphics); Demodulation; Quadrature amplitude modulation; Channel (broadcasting); Bit error rate; Frame (networking); Decoding methods; Telecommunications","score_opus":0.043029952292315946,"score_gpt":0.2854056772999381,"score_spread":0.24237572500762217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046768425","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":[0.02564561,0.0008078755,0.9289705,0.008166089,0.00013733507,0.0011728059,0.00017745217,0.00060261955,0.034319673],"genre_scores_gemma":[0.901995,0.00017562856,0.09650533,0.0003238578,0.00004470435,0.0003010424,0.00016906316,0.000019066183,0.0004663237],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890846,0.000063675776,0.0002990986,0.00029597877,0.00014993444,0.00028284747],"domain_scores_gemma":[0.9986428,0.0002498078,0.00012242794,0.0007919945,0.00012738304,0.00006560753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027990414,0.00015155047,0.00016257021,0.000115590425,0.00043589677,0.0004234217,0.00095002295,0.00006375385,0.0000065440186],"category_scores_gemma":[0.000013591367,0.00016212874,0.00007573232,0.00019579916,0.00008215723,0.001040835,0.00020180979,0.00012895856,0.000008713618],"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":[0.000021080583,0.0002947694,0.00032314015,0.000065940345,0.000047805865,0.0000010229091,0.0012136581,0.000005278636,0.021994222,0.10949011,0.009298809,0.85724413],"study_design_scores_gemma":[0.0019442538,0.00096454634,0.003233644,0.00045252076,0.00009796632,0.00012855121,0.0016488925,0.48066917,0.040832065,0.3624173,0.10569772,0.0019133508],"about_ca_topic_score_codex":0.00019786862,"about_ca_topic_score_gemma":0.00009533368,"teacher_disagreement_score":0.8763494,"about_ca_system_score_codex":0.000065080996,"about_ca_system_score_gemma":0.000074636606,"threshold_uncertainty_score":0.66114175},"labels":[],"label_agreement":null},{"id":"W2047090258","doi":"10.1007/s11277-005-7224-5","title":"The Impact of Estimation Error and Dwell Time on the Performance of Predetection Selection Diversity Receivers","year":2005,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Rayleigh fading; Diversity combining; Diversity gain; Cooperative diversity; Diversity scheme; Fading; Dwell time; Selection (genetic algorithm); Electronic engineering; Telecommunications; Algorithm; Real-time computing; Channel (broadcasting)","score_opus":0.019675501192735007,"score_gpt":0.2674070919635298,"score_spread":0.2477315907707948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047090258","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":[0.99676126,0.0002438582,0.0011189464,0.00043543385,0.000009219341,0.00024695555,0.000016514761,0.0001412154,0.0010265784],"genre_scores_gemma":[0.9959546,0.0020485078,0.0018764709,0.0000057747116,0.000007607117,0.000032974607,0.000011218208,0.00001380574,0.00004905851],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993461,0.000114481205,0.00021164223,0.00007635484,0.00014430887,0.0001071133],"domain_scores_gemma":[0.99856186,0.0004741936,0.00013847157,0.00067880994,0.00012152234,0.000025127056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027857092,0.00010984638,0.000117953736,0.0000693481,0.00076913915,0.00001326787,0.0005897667,0.000056246667,0.000013898697],"category_scores_gemma":[0.000031834566,0.000078737015,0.00006505301,0.00025234875,0.0003077887,0.00021286376,0.00021019852,0.00027785968,0.0000059127033],"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":[0.00034842393,0.00044818947,0.009645846,0.00014200158,0.00054786337,5.3474917e-8,0.012458712,0.40728962,0.13695696,0.0071516572,0.0020093303,0.42300135],"study_design_scores_gemma":[0.00010012217,0.00010559995,0.012705664,0.00005066184,0.000014265216,0.0000023483663,0.00015346515,0.9664945,0.020075325,0.00006849901,0.00014511019,0.000084449246],"about_ca_topic_score_codex":0.000074843745,"about_ca_topic_score_gemma":0.000047138925,"teacher_disagreement_score":0.5592049,"about_ca_system_score_codex":0.00017403894,"about_ca_system_score_gemma":0.000019494026,"threshold_uncertainty_score":0.59156746},"labels":[],"label_agreement":null},{"id":"W2047248717","doi":"10.1007/s11277-012-0611-9","title":"Reinforcement-Learning-Based Double Auction Design for Dynamic Spectrum Access in Cognitive Radio Networks","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Cognitive radio; Reinforcement learning; Spectrum auction; Double auction; Computer network; Human–computer interaction; Telecommunications; Artificial intelligence; Common value auction; Auction theory; Wireless","score_opus":0.06118828066576151,"score_gpt":0.32277766298886457,"score_spread":0.261589382323103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047248717","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":[0.0075808982,0.0009012831,0.98804635,0.0018427052,0.00020946431,0.0007843302,0.0000022673967,0.0001533314,0.0004794005],"genre_scores_gemma":[0.99437696,0.00025430488,0.0045700814,0.00022117738,0.00011614356,0.00020010129,0.000117937496,0.000027004431,0.00011628407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982132,0.00028445027,0.0003315151,0.0003152415,0.00020760519,0.0006479872],"domain_scores_gemma":[0.99790275,0.0010289936,0.00019777773,0.00059975765,0.00012869107,0.00014203346],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007951868,0.00022246402,0.00025366372,0.00023882248,0.0007148049,0.00027074752,0.0011113717,0.00010881069,0.000018324925],"category_scores_gemma":[0.000035877758,0.0002459473,0.0001255765,0.00076488924,0.00015073284,0.00097569654,0.00031543899,0.0005321496,0.0000067382703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079610554,0.001062937,0.009005982,0.000059570844,0.00024143777,0.0000063225293,0.006482022,0.91232127,0.0001242927,0.024758777,0.00052514236,0.044616163],"study_design_scores_gemma":[0.001484162,0.00009395941,0.0051705064,0.00012057016,0.0000265819,0.0000123346845,0.00017009201,0.9919368,0.00011943523,0.00018159453,0.00038521466,0.000298752],"about_ca_topic_score_codex":0.00012449651,"about_ca_topic_score_gemma":0.0003084303,"teacher_disagreement_score":0.9867961,"about_ca_system_score_codex":0.00029971244,"about_ca_system_score_gemma":0.0001303962,"threshold_uncertainty_score":0.9999993},"labels":[],"label_agreement":null},{"id":"W2048584405","doi":"10.1007/s11277-014-2140-1","title":"A Novel Adaptive Mobility-Aware MAC Protocol in Wireless Sensor Networks","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Network packet; Neighbor Discovery Protocol; Wireless sensor network; Latency (audio); Node (physics); Energy consumption; Efficient energy use; Telecommunications; The Internet; Internet Protocol","score_opus":0.03243880179153251,"score_gpt":0.28059075796576893,"score_spread":0.2481519561742364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048584405","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":[0.012559449,0.000040770756,0.96530384,0.0022249208,0.0001731893,0.015429691,0.000016289738,0.00055156054,0.003700275],"genre_scores_gemma":[0.9328104,0.00001957828,0.037588418,0.0004976774,0.000118959935,0.028688561,0.000034642442,0.000056815537,0.00018491114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99604905,0.0007871651,0.00076395774,0.00093583745,0.0005959513,0.0008680191],"domain_scores_gemma":[0.9942398,0.001144219,0.0003412323,0.003669249,0.0003410281,0.00026447745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010106533,0.0004745081,0.000553742,0.0002927033,0.0006229401,0.00023451656,0.0044671763,0.00030640917,0.000015755493],"category_scores_gemma":[0.00004962795,0.00049251784,0.00020529839,0.0015254581,0.0005142447,0.00048521836,0.0016485123,0.0012054965,0.000039513343],"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":[0.0002683304,0.0061312444,0.006979641,0.000158047,0.00017591713,0.000024591813,0.0062147556,0.2724424,0.0034426695,0.5976783,0.00076751295,0.105716586],"study_design_scores_gemma":[0.0011974999,0.0001118385,0.0028425066,0.00019583525,0.000008222597,0.000029066994,0.00023676694,0.9919184,0.00010409321,0.000118621516,0.0026879404,0.0005492263],"about_ca_topic_score_codex":0.00041767966,"about_ca_topic_score_gemma":0.0011746453,"teacher_disagreement_score":0.9277154,"about_ca_system_score_codex":0.00029648267,"about_ca_system_score_gemma":0.00016118915,"threshold_uncertainty_score":0.99975264},"labels":[],"label_agreement":null},{"id":"W2049394514","doi":"10.1007/s11277-015-2546-4","title":"An Efficient Pairwise and Group Key Management Protocol for Wireless Sensor Network","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Thompson Rivers University","funders":"","keywords":"Computer science; Key management; Computer network; Key (lock); Group key; Wireless sensor network; Node (physics); Communication in small groups; Overhead (engineering); Public-key cryptography; Distributed computing; Protocol (science); Key exchange; Computer security; Encryption","score_opus":0.061911132843780046,"score_gpt":0.32593439725044676,"score_spread":0.26402326440666674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049394514","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":[0.054115314,0.0004610537,0.7421169,0.010485434,0.00067575846,0.18430905,0.00007702502,0.0020325666,0.0057268506],"genre_scores_gemma":[0.64778835,0.000036879537,0.20212145,0.00075035,0.00029036895,0.14876948,0.000069731694,0.00006890223,0.00010450308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99709815,0.0004699934,0.00048704047,0.0007143664,0.0005390408,0.00069138827],"domain_scores_gemma":[0.9957091,0.00041306342,0.00023625222,0.0028311587,0.00032615656,0.00048422578],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010632538,0.00035971685,0.00036281982,0.00013101893,0.00082973676,0.0004250352,0.002961681,0.00016290734,0.0000039809797],"category_scores_gemma":[0.00001684105,0.00036751514,0.00011634193,0.0005815625,0.0003727746,0.00037639856,0.0011568253,0.0003850558,0.00001842686],"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":[0.0002599191,0.0020221663,0.0013961619,0.00027841676,0.00019958282,0.000021645594,0.01344922,0.009737399,0.00012321962,0.89066494,0.008102689,0.073744625],"study_design_scores_gemma":[0.0019046966,0.0002471017,0.00064587785,0.00013960688,0.00002615936,0.000031601336,0.0010216513,0.962855,0.000017182327,0.0017766167,0.030839149,0.00049540173],"about_ca_topic_score_codex":0.000053498035,"about_ca_topic_score_gemma":0.000105379266,"teacher_disagreement_score":0.95311755,"about_ca_system_score_codex":0.00016418885,"about_ca_system_score_gemma":0.000079562575,"threshold_uncertainty_score":0.9998777},"labels":[],"label_agreement":null},{"id":"W2050803576","doi":"10.1007/s11277-009-9680-9","title":"A Coordinated Location-dependent Downlink Scheduling Scheme in Cellular TD-CDMA Networks with Partitioned Cells: A Two-Cell Two-Partition Case","year":2009,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Telecommunications link; Scheduling (production processes); Cellular network; Base station; Computer network; Throughput; Partition (number theory); Code division multiple access; Real-time computing; Mathematical optimization; Wireless; Telecommunications; Mathematics","score_opus":0.011588067302903172,"score_gpt":0.23554705509593074,"score_spread":0.22395898779302756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050803576","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":[0.37957135,0.0023046792,0.6137623,0.00057343737,0.00012715698,0.0009012358,0.000029845076,0.0007816352,0.0019483591],"genre_scores_gemma":[0.96476626,0.0005666255,0.03354091,0.00011889956,0.00010431712,0.0002296637,0.00054725556,0.000080031845,0.00004603737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979354,0.0001892497,0.00063322345,0.00040429775,0.00027120084,0.0005666393],"domain_scores_gemma":[0.99808335,0.00017566791,0.00018015414,0.0010752631,0.00030089324,0.00018465306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003049567,0.00039508095,0.0003751132,0.00025040348,0.00049426424,0.00011808127,0.0004997151,0.00016615815,0.000040734558],"category_scores_gemma":[0.000012052223,0.00044658978,0.00007018206,0.0013274554,0.00015831727,0.0005527805,0.00007909427,0.00083707756,0.000045500223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042612795,0.00028081797,0.0002098181,0.000030984527,0.000028693134,0.00008845762,0.0006663031,0.9882167,0.007807491,0.0012542284,0.000033859145,0.0013400653],"study_design_scores_gemma":[0.0020055675,0.00005823698,0.000063413296,0.00022503287,0.000045081237,0.00010074174,0.0006902403,0.99333555,0.0027832359,0.00009623314,0.00007497943,0.00052167114],"about_ca_topic_score_codex":0.0001097939,"about_ca_topic_score_gemma":0.0009821161,"teacher_disagreement_score":0.5851949,"about_ca_system_score_codex":0.00039251545,"about_ca_system_score_gemma":0.000079921636,"threshold_uncertainty_score":0.9997986},"labels":[],"label_agreement":null},{"id":"W2053608885","doi":"10.1007/s11277-013-1005-3","title":"Performance Analysis of Two Dimensional Spreading for OFCDM Femtocell Users Overlaid with OFDM Macrocell","year":2013,"lang":"en","type":"article","venue":"Wireless Personal 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":"Toronto Metropolitan University","funders":"","keywords":"Femtocell; Macrocell; Computer science; Subcarrier; Femto-; Orthogonal frequency-division multiplexing; Bit error rate; Macro; Computer network; Interference (communication); Diversity scheme; Channel (broadcasting); Electronic engineering; Engineering","score_opus":0.03924921955713725,"score_gpt":0.30009445480771213,"score_spread":0.2608452352505749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053608885","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":[0.9572748,0.00041844076,0.03508976,0.0032247517,0.000038555285,0.0010052262,0.000049571277,0.0001572881,0.0027415925],"genre_scores_gemma":[0.9300052,0.00019197709,0.06843862,0.00015926946,0.000017282035,0.00046617817,0.00014685417,0.000029154247,0.0005454944],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757236,0.00024745674,0.00053890416,0.00045806466,0.00067340984,0.00050978095],"domain_scores_gemma":[0.9935799,0.0013872747,0.00035969084,0.0035051084,0.0009697631,0.00019821977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005588806,0.00026131037,0.00049616606,0.0005660112,0.000685049,0.0001846524,0.0048932703,0.00008727771,0.00008116062],"category_scores_gemma":[0.000026124544,0.00023888583,0.0002421584,0.0024949778,0.0005015581,0.00087592925,0.0013525023,0.00042540563,0.000037709247],"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":[0.0004664151,0.0049745906,0.31363633,0.0007631453,0.010139374,0.0000045197457,0.023369651,0.20537457,0.060333617,0.21753979,0.010061563,0.15333644],"study_design_scores_gemma":[0.0006440027,0.00010788162,0.018062353,0.00006992493,0.00014470423,0.000004173084,0.00014083137,0.97913057,0.0007916897,0.00012242142,0.0004964618,0.0002849979],"about_ca_topic_score_codex":0.0005043532,"about_ca_topic_score_gemma":0.0003174947,"teacher_disagreement_score":0.77375597,"about_ca_system_score_codex":0.00013601955,"about_ca_system_score_gemma":0.00023903453,"threshold_uncertainty_score":0.9741481},"labels":[],"label_agreement":null},{"id":"W2055797184","doi":"10.1007/s11277-012-0850-9","title":"Range Estimation in a Time Varying Multipath Channel","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; New York Institute of Technology","funders":"","keywords":"Multipath propagation; Cramér–Rao bound; Estimator; Channel (broadcasting); Computer science; Algorithm; Channel state information; Doppler effect; Delay spread; Range (aeronautics); SIGNAL (programming language); Estimation theory; Statistics; Telecommunications; Mathematics; Physics; Wireless","score_opus":0.027368783474348596,"score_gpt":0.25688657737660964,"score_spread":0.22951779390226104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055797184","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":[0.9162191,0.0055583105,0.05814746,0.0010963493,0.00029283448,0.00071322615,0.0000760777,0.0027835686,0.0151130445],"genre_scores_gemma":[0.99665004,0.00022165827,0.002765622,0.000040037612,0.000018747187,0.00015705629,0.000069971065,0.000024674284,0.000052190302],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935794,0.000037847953,0.00017601789,0.00006841392,0.00011711956,0.00024268367],"domain_scores_gemma":[0.99937576,0.00009275004,0.000024507797,0.00043899665,0.000025960257,0.00004205172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017954617,0.00010918502,0.00012289335,0.00016354036,0.00012979165,0.000023166953,0.0004405422,0.00009830696,0.000041014628],"category_scores_gemma":[0.00003392162,0.000119484495,0.000036363133,0.00031362765,0.00007109793,0.00027205382,0.000106955435,0.00022809471,0.00017038644],"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":[0.0001438452,0.003708782,0.20595111,0.0011931969,0.0005848754,0.000015122613,0.20463409,0.1570013,0.036374167,0.0706439,0.010134487,0.3096151],"study_design_scores_gemma":[0.00028602534,0.000004868915,0.0051684,0.000047676458,0.000007645814,0.0000047491517,0.00029729935,0.99244016,0.00079891,0.00011127155,0.0006607645,0.00017223001],"about_ca_topic_score_codex":0.000031174677,"about_ca_topic_score_gemma":0.000017423763,"teacher_disagreement_score":0.83543885,"about_ca_system_score_codex":0.000103267856,"about_ca_system_score_gemma":0.000008401503,"threshold_uncertainty_score":0.48724365},"labels":[],"label_agreement":null},{"id":"W2056164141","doi":"10.1007/s11277-008-9534-x","title":"Successively Structured Gaussian Two-terminal Source Coding","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Queen's University","funders":"","keywords":"Computer science; Decoding methods; Encoder; Coding (social sciences); Distributed source coding; Algorithm; Variable-length code; Source code; Shannon–Fano coding; Rate–distortion theory; Gaussian; Context-adaptive binary arithmetic coding; Theoretical computer science; Coding tree unit; Mathematics; Data compression; Statistics","score_opus":0.03396039112253684,"score_gpt":0.2789937649306184,"score_spread":0.24503337380808154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056164141","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":[0.94408697,0.0021037513,0.023482265,0.0018044751,0.00015233652,0.00053840317,0.00011079785,0.0034003095,0.024320697],"genre_scores_gemma":[0.98748153,0.0018578264,0.0098707145,0.00013468733,0.00007179243,0.00014644348,0.00015386635,0.00008859981,0.00019454432],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839896,0.00018252255,0.00044984792,0.00023792997,0.0003383568,0.00039237618],"domain_scores_gemma":[0.9972219,0.00024188845,0.00011775664,0.00209545,0.00014950785,0.00017350417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017037652,0.0003101202,0.00033472484,0.00022805124,0.0009770251,0.000075343334,0.0022849462,0.00014753711,0.00010646338],"category_scores_gemma":[0.000025297824,0.00035336378,0.00014211274,0.00045558723,0.0005883709,0.00037193543,0.0004770073,0.0008533403,0.00006259575],"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":[0.0002084093,0.0018330864,0.06674386,0.00096910784,0.0016497666,0.00024270681,0.1522028,0.0043799644,0.22591993,0.23743264,0.04073866,0.26767907],"study_design_scores_gemma":[0.0027582496,0.00012097217,0.040472794,0.00060490816,0.00015454032,0.001960606,0.004057226,0.7890813,0.028284788,0.001519887,0.12769562,0.0032891151],"about_ca_topic_score_codex":0.00013650846,"about_ca_topic_score_gemma":0.0002451165,"teacher_disagreement_score":0.78470135,"about_ca_system_score_codex":0.00018485125,"about_ca_system_score_gemma":0.0000751209,"threshold_uncertainty_score":0.9998918},"labels":[],"label_agreement":null},{"id":"W2056765610","doi":"10.1007/s11277-012-0590-x","title":"Performances of Amplify-and-Forward Cooperative Relay Networks with Different Topologies","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Relay; Path loss; Fading; Network topology; Transmitter; Ergodic theory; Cooperative diversity; MIMO; Transmission (telecommunications); Wireless; Computer network; Topology (electrical circuits); Wireless network; Power (physics); Channel (broadcasting); Telecommunications; Electrical engineering; Mathematics","score_opus":0.04679523415343934,"score_gpt":0.29010377341765503,"score_spread":0.2433085392642157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056765610","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":[0.67960024,0.021160383,0.28426653,0.006827272,0.00018079233,0.0005234478,0.0000122926995,0.000272223,0.007156818],"genre_scores_gemma":[0.98110414,0.010211894,0.008243683,0.00019165616,0.000030215853,0.00007298624,0.000019417559,0.000009588292,0.0001164044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988174,0.00030047813,0.00025760886,0.0001696344,0.0001750056,0.00027986048],"domain_scores_gemma":[0.99778825,0.00049780915,0.00015291663,0.0012610859,0.00018778566,0.000112178575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031306958,0.00017556873,0.00025691773,0.000078764126,0.0006487046,0.00007500611,0.001485256,0.00006536365,0.000018564657],"category_scores_gemma":[0.000022415315,0.00012925152,0.000042493048,0.00035231738,0.00055037485,0.00057407777,0.0011202923,0.00039054512,0.000003753648],"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":[0.00004960108,0.0005820506,0.075871676,0.00003508021,0.00021659033,4.1214417e-7,0.024894577,0.00056092005,0.00056044623,0.8072475,0.0005290323,0.08945209],"study_design_scores_gemma":[0.0012361343,0.0005230033,0.1385432,0.00032320048,0.00007624711,0.0000644227,0.004782917,0.8364378,0.0010817349,0.00011724506,0.015843743,0.00097032636],"about_ca_topic_score_codex":0.000013522894,"about_ca_topic_score_gemma":0.00010762318,"teacher_disagreement_score":0.8358769,"about_ca_system_score_codex":0.00003998603,"about_ca_system_score_gemma":0.000041797,"threshold_uncertainty_score":0.5270724},"labels":[],"label_agreement":null},{"id":"W2056863264","doi":"10.1007/s11277-010-9941-7","title":"On the Performance of a Constellation-rotated Time-spreaded Space-frequency Coding Scheme for 4 × 1 MISO OFDM Transceivers","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Fading; Channel (broadcasting); Constellation; Diversity gain; Transceiver; Coding gain; Coding (social sciences); Decoding methods; Doppler frequency; Algorithm; Bit error rate; Diversity scheme; Doppler effect; Telecommunications; Electronic engineering; Mathematics; Wireless; Physics; Statistics; Engineering","score_opus":0.022650701405735427,"score_gpt":0.254438367499053,"score_spread":0.23178766609331758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056863264","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":[0.97827953,0.00023959213,0.0035814003,0.0023498938,0.000071696806,0.0011747165,0.00017880359,0.0006545899,0.013469803],"genre_scores_gemma":[0.97738963,0.0005329385,0.021589177,0.000050212417,0.000012782966,0.00019755508,0.000106033716,0.000052347685,0.0000692976],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989696,0.0000675844,0.00038174167,0.00015618702,0.00019248048,0.00023241728],"domain_scores_gemma":[0.99666816,0.0012428748,0.00014204606,0.0016611515,0.00022405451,0.000061722625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028923014,0.00021341848,0.0002462496,0.00012901115,0.00045234308,0.00002600965,0.0013727439,0.00013282287,0.00012201862],"category_scores_gemma":[0.000065043074,0.00019756517,0.00012674625,0.00033266534,0.0005515613,0.000180557,0.000052611373,0.00066275056,0.000020307565],"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":[0.000039024628,0.00012399966,0.00034042855,0.00013968784,0.00011489967,1.0803793e-7,0.002662152,0.000917767,0.9222148,0.06951254,0.0010262699,0.0029083171],"study_design_scores_gemma":[0.0006219448,0.000097622666,0.0003592159,0.00026870667,0.00003939483,0.000006114603,0.00044214097,0.8155294,0.17798313,0.00049973745,0.0037175212,0.0004350336],"about_ca_topic_score_codex":0.000014305907,"about_ca_topic_score_gemma":0.000019627963,"teacher_disagreement_score":0.8146117,"about_ca_system_score_codex":0.00006206878,"about_ca_system_score_gemma":0.0000563574,"threshold_uncertainty_score":0.8056474},"labels":[],"label_agreement":null},{"id":"W2057847169","doi":"10.1007/s11277-013-1057-4","title":"Packet Delay in UAV Wireless Networks Under Non-saturated Traffic and Channel Fading Conditions","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Communications Research Centre Canada","funders":"Defence Research and Development Canada","keywords":"Computer science; Fading; Computer network; Channel (broadcasting); Network packet; Wireless; Wireless network; Real-time computing; Telecommunications","score_opus":0.02179871210987819,"score_gpt":0.25712047352079054,"score_spread":0.23532176141091235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057847169","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":[0.868239,0.0015485736,0.11906763,0.007988178,0.0002388031,0.0010858198,0.000019291163,0.00034595732,0.0014667389],"genre_scores_gemma":[0.9957032,0.00080502103,0.001993434,0.00068624615,0.000060548507,0.00050803117,0.00011283504,0.0000321809,0.00009845476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797666,0.00029249102,0.00043611144,0.0004920936,0.0002330143,0.0005696555],"domain_scores_gemma":[0.99729776,0.0006119188,0.00016378085,0.001525304,0.00018356199,0.00021766931],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003074685,0.0002868504,0.00033205983,0.00020428067,0.0006595257,0.00036979959,0.0019214511,0.0002132715,0.00003506672],"category_scores_gemma":[0.000009934826,0.00030040977,0.00007956484,0.0010372686,0.00037999538,0.00090342073,0.0007787938,0.000831423,0.000055013796],"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":[0.00005675126,0.0032381255,0.0063747102,0.00019560078,0.000783339,0.00009666939,0.049487676,0.2652621,0.0050756414,0.44684106,0.03289775,0.18969058],"study_design_scores_gemma":[0.00047663273,0.00003191993,0.0125637865,0.00012149415,0.000010557774,0.000047293186,0.000670426,0.9847477,0.000010007591,0.00084642664,0.00012998751,0.00034376653],"about_ca_topic_score_codex":0.0002987156,"about_ca_topic_score_gemma":0.0010922147,"teacher_disagreement_score":0.7194856,"about_ca_system_score_codex":0.00012918292,"about_ca_system_score_gemma":0.000095887524,"threshold_uncertainty_score":0.9999448},"labels":[],"label_agreement":null},{"id":"W2059637696","doi":"10.1007/s11277-011-0362-z","title":"Fundamental Limitations on Pilot-based Spectrum Sensing at Very Low SNR","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Queen's University; Western University","funders":"","keywords":"Computer science; Cognitive radio; Frequency offset; Transmitter; Offset (computer science); Bandwidth (computing); Orthogonal frequency-division multiplexing; Signal-to-noise ratio (imaging); Carrier frequency offset; Noise (video); Electronic engineering; Algorithm; Telecommunications; Wireless; Artificial intelligence; Channel (broadcasting)","score_opus":0.10190025426254062,"score_gpt":0.2609745214925806,"score_spread":0.15907426723003998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059637696","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":[0.76080257,0.00051478663,0.14220962,0.013037579,0.0006388445,0.000638042,0.00004633613,0.0007894545,0.081322744],"genre_scores_gemma":[0.97808444,0.00009437785,0.02034566,0.0011780101,0.00006665149,0.00000842706,0.00004366665,0.00002585664,0.00015291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983899,0.00023410263,0.00026449017,0.00039971343,0.0003072682,0.00040455224],"domain_scores_gemma":[0.99753636,0.00065749005,0.00013332302,0.0014292944,0.000088923756,0.00015460781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020603782,0.00022568576,0.00020205829,0.00018546001,0.0012235909,0.00014054678,0.0010183938,0.00005559292,0.00004018504],"category_scores_gemma":[0.000025982876,0.0002427988,0.00014167427,0.00048956735,0.00029227333,0.0002556719,0.00043894374,0.00037716667,0.0001958733],"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":[0.0006500226,0.0057644923,0.0056932927,0.00007853014,0.0005896066,0.00024294623,0.03568828,0.00050053507,0.014881231,0.60942453,0.004277419,0.32220912],"study_design_scores_gemma":[0.0011008983,0.00060876645,0.026815321,0.00025731555,0.00004209826,0.00008482422,0.0005406238,0.9620516,0.0033696936,0.0021514783,0.0022282708,0.00074916036],"about_ca_topic_score_codex":0.000145997,"about_ca_topic_score_gemma":0.0011792089,"teacher_disagreement_score":0.961551,"about_ca_system_score_codex":0.00032086833,"about_ca_system_score_gemma":0.00012519896,"threshold_uncertainty_score":0.99010473},"labels":[],"label_agreement":null},{"id":"W2059695363","doi":"10.1007/s11277-013-1278-6","title":"SDR: A Stable Direction-Based Routing for Vehicular Ad Hoc Networks","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Link-state routing protocol; Destination-Sequenced Distance Vector routing; Dynamic Source Routing; Optimized Link State Routing Protocol; Distributed computing; Routing protocol; Wireless Routing Protocol; Network packet","score_opus":0.023473064941676176,"score_gpt":0.2558307683675451,"score_spread":0.23235770342586892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059695363","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":[0.01064691,0.004330402,0.97553116,0.006286905,0.00025685475,0.0011189685,0.000010374428,0.0004922768,0.0013261477],"genre_scores_gemma":[0.9273454,0.00026322866,0.06949406,0.00076840457,0.000088384615,0.0015538041,0.00007037518,0.000032092932,0.0003842333],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826837,0.00020790531,0.00034517146,0.0004143261,0.00024888295,0.00051533844],"domain_scores_gemma":[0.99614143,0.0009808223,0.00018466971,0.0021672498,0.0003646609,0.00016116486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044526407,0.00021298022,0.0002439888,0.000080035126,0.0010520184,0.00038233536,0.0024638355,0.0001326026,0.000044145156],"category_scores_gemma":[0.000045585457,0.00022247295,0.00017943254,0.00057418284,0.00014368289,0.0005379063,0.00050781603,0.00041017262,0.00005574445],"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":[0.000041116375,0.0012797425,0.0034363032,0.00010400518,0.00034304484,0.0000037209493,0.004125219,0.06559547,0.0020182289,0.15018521,0.028606664,0.74426126],"study_design_scores_gemma":[0.00036799174,0.000048355287,0.0012217491,0.000058902962,0.000014351922,0.0000034666418,0.000104301726,0.9723212,0.00003953114,0.0003640841,0.02520096,0.00025512188],"about_ca_topic_score_codex":0.00015280441,"about_ca_topic_score_gemma":0.00020767945,"teacher_disagreement_score":0.9166985,"about_ca_system_score_codex":0.00014832999,"about_ca_system_score_gemma":0.00015755689,"threshold_uncertainty_score":0.9072184},"labels":[],"label_agreement":null},{"id":"W2060232182","doi":"10.1007/s11277-013-1597-7","title":"Towards Fountain Codes","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fountain code; Luby transform code; Computer science; Raptor code; Tornado code; Online codes; Theoretical computer science; Linear code; Binary erasure channel; Algorithm; Lossy compression; Fountain; Block code; Decoding methods; Computer network; Channel capacity; Artificial intelligence","score_opus":0.036272840341379266,"score_gpt":0.30529440605444425,"score_spread":0.26902156571306496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060232182","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":[0.019847648,0.00020941802,0.91599756,0.011799142,0.00015050024,0.00016907374,0.0000044553803,0.0015071809,0.050315034],"genre_scores_gemma":[0.83684003,0.000053358664,0.1622166,0.0006020499,0.000032596025,0.00006142348,0.000008428233,0.000012671669,0.00017285119],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873775,0.00030028625,0.00020098044,0.00026487967,0.00025773825,0.00023836132],"domain_scores_gemma":[0.9969944,0.0003654923,0.00009724584,0.0023005637,0.00015798879,0.00008436257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006684364,0.0001378064,0.00016365071,0.00011028986,0.00046694095,0.00015034505,0.0037854498,0.000068557085,0.00000991712],"category_scores_gemma":[0.000119945784,0.00014164184,0.00008405222,0.00038864935,0.0001697392,0.0003069743,0.0011139619,0.00032323596,0.00007509948],"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":[0.0000021227504,0.000112272755,0.0011511646,0.00001017755,0.000016021397,6.329496e-7,0.003043066,0.0000024508956,0.0017006836,0.8205592,0.0015762453,0.17182596],"study_design_scores_gemma":[0.00031537344,0.00016364279,0.006735414,0.0001098506,0.000017265635,0.000060797072,0.00037719493,0.8707375,0.0031261274,0.03410376,0.0835828,0.00067027815],"about_ca_topic_score_codex":0.00029861426,"about_ca_topic_score_gemma":0.00027678785,"teacher_disagreement_score":0.87073505,"about_ca_system_score_codex":0.000083853585,"about_ca_system_score_gemma":0.00008724234,"threshold_uncertainty_score":0.70343703},"labels":[],"label_agreement":null},{"id":"W2060581776","doi":"10.1007/s11277-010-9978-7","title":"Resilient Security Mechanism for Wireless Ad hoc Network","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Wireless network; Mobile ad hoc network; Robustness (evolution); Vehicular ad hoc network; Distributed computing; Wireless; Computer security; Telecommunications","score_opus":0.020883936162565096,"score_gpt":0.2738863199502887,"score_spread":0.2530023837877236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060581776","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":[0.22791094,0.0020146621,0.73350585,0.023076639,0.002837087,0.0027236412,0.00012146842,0.0012962716,0.006513444],"genre_scores_gemma":[0.91895974,0.00043867336,0.07850318,0.000827128,0.000249988,0.0006750833,0.00005988096,0.00003629204,0.0002500255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779344,0.00019182121,0.00041467804,0.00057010946,0.0003811023,0.0006488382],"domain_scores_gemma":[0.99463105,0.00076271326,0.00022306172,0.0037259557,0.00041128616,0.00024594163],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007405094,0.0002745318,0.00031151393,0.00007175445,0.0011606844,0.00024171927,0.004928094,0.0002319328,0.000028341068],"category_scores_gemma":[0.000045861605,0.0002911542,0.00021164455,0.0005434921,0.00026797169,0.00039596093,0.0014378005,0.00096830964,0.000052150346],"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":[0.000013470664,0.00017604927,0.0000629749,0.000015085134,0.000033600823,0.000001296282,0.001581146,0.000022907861,0.0013577185,0.9680446,0.0044517075,0.024239482],"study_design_scores_gemma":[0.0006291907,0.00011473922,0.00032471228,0.000057903006,0.000027852773,0.00003044984,0.00017021474,0.8649553,0.00041156384,0.07819595,0.05454604,0.0005360526],"about_ca_topic_score_codex":0.00003268257,"about_ca_topic_score_gemma":0.0017703173,"teacher_disagreement_score":0.8898486,"about_ca_system_score_codex":0.00006930159,"about_ca_system_score_gemma":0.00020080348,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W2061215643","doi":"10.1007/s11277-015-2393-3","title":"A Reliable Geocast Routing Protocol for Vehicular Ad Hoc Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Geocast; Computer network; Routing protocol; Wireless ad hoc network; Protocol (science); Wireless Routing Protocol; Vehicular ad hoc network; Optimized Link State Routing Protocol; Ad hoc wireless distribution service; Mobile ad hoc network; Routing (electronic design automation); Telecommunications; Wireless; Medicine","score_opus":0.056152168670131106,"score_gpt":0.2977192950837163,"score_spread":0.2415671264135852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061215643","genre_codex":"protocol","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062354293,0.016602742,0.36039183,0.0073275454,0.0014753572,0.50500417,0.00035440765,0.007895649,0.038594004],"genre_scores_gemma":[0.6914528,0.00011431232,0.017185688,0.00018513296,0.0002993719,0.28988215,0.00031722078,0.00018227409,0.00038106844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843204,0.00008544098,0.00038469306,0.00024780858,0.0002571949,0.0005928352],"domain_scores_gemma":[0.9979401,0.00017122127,0.00008666269,0.0012948894,0.00024348406,0.00026363126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006094648,0.0002745895,0.00029628884,0.00006990048,0.00037953324,0.00011603708,0.0009552591,0.00019532835,0.000019319981],"category_scores_gemma":[0.000044000983,0.00029658727,0.00015382849,0.00034468714,0.00012286808,0.00021870677,0.00025422257,0.0005785934,0.000045058066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005609225,0.00012249821,0.00026910836,0.00009008543,0.00012505616,0.0000039430615,0.0011623806,0.9613754,0.00013443295,0.0017597976,0.021826956,0.0130742295],"study_design_scores_gemma":[0.0008962096,0.00004726683,0.000061851446,0.000120173296,0.000022944616,0.000016902448,0.00027673974,0.7493066,0.000020552381,0.00009289217,0.24887602,0.00026181128],"about_ca_topic_score_codex":0.00002313115,"about_ca_topic_score_gemma":0.00022750125,"teacher_disagreement_score":0.6290985,"about_ca_system_score_codex":0.00026096546,"about_ca_system_score_gemma":0.0001097031,"threshold_uncertainty_score":0.9999486},"labels":[],"label_agreement":null},{"id":"W206168953","doi":"10.1023/a:1011905920038","title":"Impact of Imperfect Power Control and Channel Estimation on the Performance of Multiuser Detectors in Synchronous DS-CDMA System","year":2001,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Detector; Computer science; Single antenna interference cancellation; Channel (broadcasting); Interference (communication); Power control; Power (physics); Multiuser detection; Imperfect; Telecommunications; Physics","score_opus":0.023110054403452054,"score_gpt":0.2915816253205458,"score_spread":0.2684715709170938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W206168953","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":[0.9917951,0.0005546216,0.005739617,0.0009526315,0.000023000766,0.000506275,0.000012869699,0.000048983384,0.00036687445],"genre_scores_gemma":[0.9983262,0.0005506827,0.00096937997,0.000022449272,0.000006736621,0.00009367403,0.0000058082164,0.000015910016,0.00000916661],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797195,0.0006697638,0.00046710632,0.00022561768,0.00037613465,0.0002894097],"domain_scores_gemma":[0.9954166,0.0016372593,0.00028284392,0.0023301071,0.00025720187,0.00007599179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009822375,0.0001817468,0.00031938386,0.0002656613,0.00030752344,0.000056174733,0.002519318,0.00008996231,0.0000066055336],"category_scores_gemma":[0.00008184402,0.00013528594,0.00011067125,0.00081742846,0.00039046514,0.00032460355,0.0005425102,0.00046008814,0.0000069153043],"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":[0.0014727642,0.00528465,0.40872106,0.00086827186,0.0013152517,0.00001613831,0.07026232,0.14943759,0.03921211,0.11160471,0.00032852654,0.2114766],"study_design_scores_gemma":[0.00051041564,0.00023825401,0.16605312,0.00021454503,0.00000511133,0.000015744234,0.0002522774,0.8324544,0.00013523435,0.000010853458,0.000004796083,0.00010523616],"about_ca_topic_score_codex":0.0004969737,"about_ca_topic_score_gemma":0.00010036412,"teacher_disagreement_score":0.68301684,"about_ca_system_score_codex":0.00023093367,"about_ca_system_score_gemma":0.00015664245,"threshold_uncertainty_score":0.55168},"labels":[],"label_agreement":null},{"id":"W2064197922","doi":"10.1007/s11277-015-2434-y","title":"A Highly Successful Frame Contention Strategy for Self-Coexistence in IEEE 802.22 Wireless Regional Area Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation of Korea; Heart and Stroke Foundation of Canada","keywords":"Computer science; Computer network; Base station; Frame (networking); Throughput; Cognitive radio; Exploit; IEEE 802.11; Wireless network; Spectrum management; Channel (broadcasting); Wireless; IEEE 802; Etiquette; Telecommunications; Quality of service; Computer security","score_opus":0.09075382879767666,"score_gpt":0.30273663701802106,"score_spread":0.2119828082203444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064197922","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":[0.37370658,0.0022423211,0.61114943,0.0078054946,0.0005201537,0.0010546029,0.00003016018,0.00046845435,0.003022784],"genre_scores_gemma":[0.98918253,0.00045225368,0.009363239,0.00047802657,0.00016659425,0.00014444224,0.000085786574,0.000027665475,0.00009945236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764663,0.00031652764,0.00050281023,0.00056015427,0.00040489202,0.00056899455],"domain_scores_gemma":[0.9970116,0.0007018615,0.00025653496,0.0012032728,0.00058229046,0.00024445323],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070364587,0.00028726205,0.0003914182,0.00019120626,0.00046842342,0.0003431756,0.0018890696,0.00018583931,0.000002945435],"category_scores_gemma":[0.00003071051,0.0003056629,0.00017470775,0.00080478954,0.00024815375,0.00068946596,0.00029411068,0.00058811967,0.0000075394987],"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":[0.0005094221,0.0032250974,0.012218506,0.00013545944,0.00049375213,0.00009392298,0.020253383,0.015585521,0.0012690515,0.79523367,0.01070159,0.14028063],"study_design_scores_gemma":[0.0011509219,0.00014313031,0.0021523682,0.00016950896,0.00002079011,0.00005484714,0.0010166896,0.9905857,0.000021147845,0.0025411744,0.0017544262,0.00038933638],"about_ca_topic_score_codex":0.00043246022,"about_ca_topic_score_gemma":0.0018997925,"teacher_disagreement_score":0.97500014,"about_ca_system_score_codex":0.00031630325,"about_ca_system_score_gemma":0.0003273854,"threshold_uncertainty_score":0.99993956},"labels":[],"label_agreement":null},{"id":"W2064545165","doi":"10.1007/s11277-011-0249-z","title":"Performance Analysis of Smart Relaying with Equal Gain Combining","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Saskatchewan","funders":"","keywords":"Nakagami distribution; Computer science; Fading; Relay; Phase-shift keying; Diversity gain; Keying; Maximal-ratio combining; Focus (optics); Telecommunications; Modulation (music); Diversity combining; Antenna diversity; Cooperative diversity; Outage probability; Diversity (politics); Algorithm; Electronic engineering; Bit error rate; Wireless; Decoding methods; Power (physics); Physics","score_opus":0.10425859768902519,"score_gpt":0.2889260999706001,"score_spread":0.1846675022815749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064545165","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":[0.7483244,0.00095042284,0.20546588,0.0008578908,0.000054122866,0.00024759656,0.000008761296,0.00024605493,0.043844867],"genre_scores_gemma":[0.96980417,0.0009082171,0.028989272,0.00013893005,0.000003997601,0.000038538896,0.000020882952,0.000010134513,0.00008585152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986821,0.00028844242,0.00034246536,0.0002320631,0.0002433181,0.00021163093],"domain_scores_gemma":[0.99684906,0.00028856567,0.00022696181,0.0022601667,0.00029516686,0.00008006026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052197406,0.0001446558,0.00029416333,0.00034085015,0.0005795705,0.000043976634,0.002755334,0.000046065634,0.000049001683],"category_scores_gemma":[0.000018261595,0.00013332527,0.00010720641,0.0022168278,0.00027809554,0.00042044255,0.0009111741,0.00031166754,0.0000103449065],"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":[0.00009380144,0.00091843976,0.1896202,0.000038459075,0.0020361005,0.0000031198017,0.08309686,0.00047531954,0.0021051532,0.61443156,0.00011689155,0.107064106],"study_design_scores_gemma":[0.00030923198,0.00015373007,0.048000336,0.00008835493,0.00018345732,0.000004980593,0.000647123,0.9494932,0.00042500035,0.000044520606,0.00039217982,0.00025786954],"about_ca_topic_score_codex":0.00004785912,"about_ca_topic_score_gemma":0.0003078286,"teacher_disagreement_score":0.9490179,"about_ca_system_score_codex":0.000045565634,"about_ca_system_score_gemma":0.000097192176,"threshold_uncertainty_score":0.54368466},"labels":[],"label_agreement":null},{"id":"W2064641156","doi":"10.1007/s11277-007-9298-8","title":"Modified-rate-quantization algorithm for multiple-input multiple-output systems under imperfect channel knowledge","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"MIMO; Computer science; Spectral efficiency; Algorithm; Quantization (signal processing); Bit error rate; Robustness (evolution); Singular value decomposition; Channel (broadcasting); Channel state information; Imperfect; Control theory (sociology); Telecommunications; Wireless; Decoding methods","score_opus":0.04384553371358027,"score_gpt":0.29082013626088066,"score_spread":0.2469746025473004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064641156","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":[0.0068015065,0.0032331662,0.985588,0.00006352939,0.0007409484,0.0014166345,0.00023677782,0.0007954111,0.0011240273],"genre_scores_gemma":[0.978407,0.000409057,0.018990202,0.000023481656,0.00026441202,0.00051223626,0.00083213125,0.00016105121,0.0004003963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812865,0.00013525957,0.0006675459,0.00034702616,0.00016388364,0.0005576557],"domain_scores_gemma":[0.9967236,0.0014170612,0.0001602793,0.0010471845,0.0004787286,0.00017312863],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007724635,0.00037351082,0.00039906014,0.0003005278,0.00060519885,0.000095723575,0.00068717205,0.00027412912,0.0000022713018],"category_scores_gemma":[0.00010839002,0.00042040867,0.00015523258,0.0005255812,0.00012609415,0.0003852868,0.00012767679,0.00033592532,0.000038473823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043457163,0.00032578336,0.0002658107,0.0004508721,0.00028641414,0.0000014801772,0.0044733733,0.9517414,0.008384115,0.0068482854,0.00062983355,0.026549164],"study_design_scores_gemma":[0.0011392467,0.000035625708,0.00028104134,0.00015112713,0.000041828505,0.000013011606,0.0016887517,0.99412704,0.00062001636,0.000041286352,0.0014028199,0.00045822255],"about_ca_topic_score_codex":0.00009969591,"about_ca_topic_score_gemma":0.0004525316,"teacher_disagreement_score":0.97160554,"about_ca_system_score_codex":0.00042663427,"about_ca_system_score_gemma":0.00005858702,"threshold_uncertainty_score":0.99982476},"labels":[],"label_agreement":null},{"id":"W2065465343","doi":"10.1007/s11277-015-2563-3","title":"Modulation Identification Using Moment Features for Communications via Ricean Fading SIMO Channels","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Fading; Computer science; Moment (physics); Envelope (radar); Modulation (music); Cognitive radio; Channel (broadcasting); Identification (biology); SIGNAL (programming language); Wireless; Algorithm; Telecommunications; Electronic engineering; Acoustics; Physics","score_opus":0.16076330078356418,"score_gpt":0.3469917357932748,"score_spread":0.18622843500971062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065465343","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":[0.02045638,0.0005597455,0.9638297,0.012746014,0.0004260175,0.0011551344,0.000044645025,0.00040297932,0.0003793731],"genre_scores_gemma":[0.8898395,0.00006443592,0.10855769,0.00018695345,0.00013107137,0.0004534145,0.00048237914,0.000045959638,0.00023863983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99695796,0.00048314277,0.00081641943,0.0006336688,0.00066977914,0.00043902526],"domain_scores_gemma":[0.9929164,0.0005463483,0.0006794808,0.0043284534,0.0012428258,0.00028647968],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012509675,0.00032579017,0.0003282607,0.00044381034,0.0013926438,0.0005271311,0.004318672,0.00019194973,0.0000032998512],"category_scores_gemma":[0.0001342912,0.00037447593,0.00018246898,0.0011032831,0.0002941552,0.0015994165,0.0010000129,0.0003628876,0.000039929866],"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":[0.00006698144,0.0013480413,0.0012596333,0.000109367385,0.00026716365,9.441467e-7,0.023623342,0.030198239,0.101016566,0.7412123,0.0020145655,0.09888285],"study_design_scores_gemma":[0.0006026977,0.00004443733,0.0023802388,0.00004927459,0.000040979434,0.000016821701,0.0005685107,0.9828119,0.001032965,0.008774956,0.0032706247,0.00040653878],"about_ca_topic_score_codex":0.00017472508,"about_ca_topic_score_gemma":0.000079774145,"teacher_disagreement_score":0.9526137,"about_ca_system_score_codex":0.0007587145,"about_ca_system_score_gemma":0.00028556056,"threshold_uncertainty_score":0.99990743},"labels":[],"label_agreement":null},{"id":"W2065621867","doi":"10.1007/s11277-005-2512-7","title":"Fast Converging Adaptive MMSE Multiuser Detector for DS-CDMA System","year":2005,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Lakehead University","funders":"","keywords":"Code division multiple access; Detector; Computer science; Single antenna interference cancellation; Multiuser detection; Interference (communication); Convergence (economics); Minimum mean square error; Rate of convergence; Algorithm; Power (physics); Sequence (biology); Spread spectrum; Telecommunications; Real-time computing; Electronic engineering; Mathematics; Statistics; Physics; Channel (broadcasting)","score_opus":0.055418046912980364,"score_gpt":0.308911806373506,"score_spread":0.25349375946052566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065621867","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":[0.023505619,0.002685338,0.9471337,0.017540226,0.00030340796,0.0019142365,0.000107036656,0.001273743,0.0055366484],"genre_scores_gemma":[0.83974546,0.00018912787,0.15832771,0.00023478808,0.00014568902,0.00080837426,0.00003749631,0.00004424992,0.00046711884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971493,0.0005457516,0.00055182737,0.00054250465,0.0005468336,0.0006637917],"domain_scores_gemma":[0.9929168,0.0016100795,0.0002588743,0.004245251,0.00070064655,0.00026830877],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0007991342,0.00030434883,0.00036613076,0.0002594763,0.0014229408,0.0003333102,0.0071219676,0.00015928013,0.00001784479],"category_scores_gemma":[0.0000662985,0.00031897787,0.00022812388,0.00074199826,0.00037314146,0.00089278125,0.0021180252,0.00066762476,0.0002035593],"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":[0.00013619482,0.0008390261,0.0006580764,0.00016692234,0.0003523518,0.0000042908173,0.014768167,0.0024011058,0.00457854,0.50066733,0.0054093106,0.47001868],"study_design_scores_gemma":[0.0008115795,0.000056840014,0.000566565,0.00013387574,0.000013805164,0.000016426451,0.0012387796,0.9719067,0.00054033997,0.000050141407,0.024306819,0.0003581349],"about_ca_topic_score_codex":0.00014064339,"about_ca_topic_score_gemma":0.0005511177,"teacher_disagreement_score":0.9695056,"about_ca_system_score_codex":0.0005485774,"about_ca_system_score_gemma":0.00027158833,"threshold_uncertainty_score":0.9999262},"labels":[],"label_agreement":null},{"id":"W2066958484","doi":"10.1007/s11277-011-0483-4","title":"Adaptive Spectrum Sensing Algorithm in Cognitive Ultra-wideband Systems","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Algorithm; Cognitive radio; Wideband; False alarm; Energy (signal processing); Direct-sequence spread spectrum; Robustness (evolution); Keying; Frequency domain; Ultra-wideband; Noise (video); SIGNAL (programming language); Noise power; Electronic engineering; Spread spectrum; Telecommunications; Channel (broadcasting); Power (physics); Wireless; Artificial intelligence; Mathematics; Statistics; Physics; Engineering","score_opus":0.06078846826477956,"score_gpt":0.26584786198636484,"score_spread":0.20505939372158527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066958484","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":[0.018873395,0.0022402147,0.94434685,0.00067239953,0.00024438792,0.00048337373,0.0000275144,0.0002191852,0.032892667],"genre_scores_gemma":[0.98273265,0.00037624684,0.01654131,0.0001508545,0.00007138379,0.000012461391,0.000015057319,0.000020805084,0.000079206555],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981097,0.00037807878,0.00035388034,0.00043927823,0.0002577165,0.0004613638],"domain_scores_gemma":[0.9981547,0.0005904617,0.00015093827,0.00081201957,0.00016295923,0.0001289464],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003883029,0.00023192356,0.00031171244,0.00023276868,0.0004314296,0.00015073907,0.00091031624,0.00009354703,0.000009957866],"category_scores_gemma":[0.000027259524,0.00024587678,0.00009915412,0.00075748353,0.0002742697,0.0004461535,0.00026843464,0.0005454393,0.000029683628],"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":[0.000101408565,0.0010187232,0.0035505544,0.000028652086,0.0003721869,0.00040560504,0.06343439,0.000049257545,0.00086376135,0.19514567,0.00022239088,0.73480743],"study_design_scores_gemma":[0.0007487047,0.00012590263,0.0048191017,0.00047328227,0.000028352977,0.00026142094,0.0046379436,0.98503107,0.0005357646,0.0026037216,0.00018937339,0.00054536044],"about_ca_topic_score_codex":0.001658146,"about_ca_topic_score_gemma":0.0010734507,"teacher_disagreement_score":0.98498183,"about_ca_system_score_codex":0.00015217338,"about_ca_system_score_gemma":0.00011988631,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W2068062962","doi":"10.1007/s11277-008-9503-4","title":"Antenna and User Subset Selection in Downlink Multiuser Orthogonal Space-Division Multiplexing","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"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 Alberta","funders":"","keywords":"Computer science; Dirty paper coding; Telecommunications link; Scheduling (production processes); Algorithm; Precoding; Mathematical optimization; MIMO; Multi-user; Beamforming; Theoretical computer science; Mathematics; Computer network; Telecommunications","score_opus":0.027229461289967734,"score_gpt":0.2515034808857886,"score_spread":0.22427401959582088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068062962","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":[0.88129205,0.0011496166,0.11602853,0.00027521336,0.00007375831,0.00038227878,0.000045436696,0.0003820411,0.0003710535],"genre_scores_gemma":[0.97761774,0.0013649703,0.02065111,0.000024001014,0.000028381868,0.00006813842,0.00011310905,0.00004610556,0.000086462744],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990376,0.00008849979,0.00029913755,0.00020189106,0.00013372149,0.00023911709],"domain_scores_gemma":[0.9992785,0.00016044018,0.00005602345,0.00033596344,0.00009320144,0.00007589943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013844356,0.00018194465,0.00020220078,0.00020210058,0.00032173333,0.000022912256,0.0002309597,0.000118203556,0.0000132150335],"category_scores_gemma":[0.00003656053,0.00020463858,0.000040541727,0.00041676097,0.00012328138,0.00038802924,0.00010095981,0.00038562086,0.000015475278],"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":[0.00007042088,0.00042720453,0.5635921,0.00023093328,0.00013062089,0.000018890896,0.01725937,0.28122726,0.12695438,0.0036469435,0.00053779915,0.0059041013],"study_design_scores_gemma":[0.00059088995,0.000013453801,0.07618293,0.00009601893,0.0000046103055,0.000047963837,0.00036287718,0.9213535,0.00019831926,0.000013137359,0.0008945569,0.00024171136],"about_ca_topic_score_codex":0.00010645156,"about_ca_topic_score_gemma":0.0011366295,"teacher_disagreement_score":0.6401262,"about_ca_system_score_codex":0.000138449,"about_ca_system_score_gemma":0.000025770823,"threshold_uncertainty_score":0.8344919},"labels":[],"label_agreement":null},{"id":"W2069911834","doi":"10.1007/s11277-006-9038-5","title":"MCIP: A 3G/IP Interworking System Supporting Inter-Cluster Soft Handoff","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo","funders":"","keywords":"Computer science; Computer network; Handover; Soft handover; Core network; Next-generation network; Network packet; Cellular network; Quality of service; Access network; IP Multimedia Subsystem; IP tunnel; Internet Protocol; The Internet","score_opus":0.014107420538428481,"score_gpt":0.24099992284724725,"score_spread":0.22689250230881877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069911834","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":[0.85678524,0.006149594,0.08893556,0.0012900318,0.0018592821,0.0013916304,0.00015805986,0.0032511756,0.040179458],"genre_scores_gemma":[0.99702305,0.000043148884,0.0017122983,0.00008351754,0.00036644982,0.00019572033,0.00018324102,0.00009624463,0.0002963061],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977818,0.00021972919,0.00076088373,0.0003322523,0.00028461477,0.0006206981],"domain_scores_gemma":[0.9976728,0.00041955244,0.00016858548,0.0014851372,0.00013831047,0.00011559681],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000580988,0.0003519931,0.0004291454,0.00014979768,0.00048766684,0.0001990762,0.0011174642,0.00019858887,0.000057853846],"category_scores_gemma":[0.000025800087,0.0003907755,0.00023198387,0.0003547189,0.00022794929,0.0002836165,0.0005956873,0.0008436767,0.00010017244],"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":[0.0011414175,0.005670324,0.14357051,0.013525594,0.00421744,0.00026534972,0.12642005,0.059413634,0.03426862,0.14386225,0.08472563,0.3829192],"study_design_scores_gemma":[0.0010721503,0.0000346222,0.0020439131,0.00083140493,0.00011463249,0.00008959069,0.0027644867,0.96770626,0.00036155563,0.0002461922,0.023999589,0.00073558243],"about_ca_topic_score_codex":0.0003937542,"about_ca_topic_score_gemma":0.0019740846,"teacher_disagreement_score":0.90829265,"about_ca_system_score_codex":0.00049837225,"about_ca_system_score_gemma":0.000042080355,"threshold_uncertainty_score":0.9998544},"labels":[],"label_agreement":null},{"id":"W2070057064","doi":"10.1007/s11277-014-2248-3","title":"Ultra-Wideband $$4\\times 4$$ 4 × 4 Butler Matrix Employing Trapezoidal-Shaped Microstrip-Slot Technique","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdulaziz City for Science and Technology; King Saud University","keywords":"Microstrip; Wideband; Ground plane; Computer science; Return loss; Bandwidth (computing); Matrix (chemical analysis); Topology (electrical circuits); Acoustics; Electronic engineering; Optics; Antenna (radio); Telecommunications; Physics; Electrical engineering; Materials science; Engineering","score_opus":0.015766110125029296,"score_gpt":0.24750010288889884,"score_spread":0.23173399276386955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070057064","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":[0.2637303,0.009048007,0.6752207,0.0018103721,0.00051498524,0.0013667159,0.00031162234,0.0049399557,0.043057337],"genre_scores_gemma":[0.99109036,0.00037961753,0.007391461,0.000057797482,0.00009658106,0.00015098989,0.000113577735,0.00010458282,0.0006150331],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987287,0.0000871593,0.0003800487,0.00023435957,0.00016789115,0.00040184509],"domain_scores_gemma":[0.99835885,0.0003191439,0.000049467333,0.0010569437,0.000080024816,0.00013557462],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033300836,0.00030686465,0.00030792496,0.00017510177,0.00032795125,0.00009756675,0.00084457657,0.0001744951,0.00009463787],"category_scores_gemma":[0.000045846034,0.00033258568,0.00015284377,0.0002956222,0.00014997782,0.00013690419,0.000078950325,0.00054564996,0.00010549427],"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":[0.000006770506,0.000069189075,0.00029321492,0.0001433344,0.00011173113,0.0000016135863,0.0011629722,0.0013594518,0.9854546,0.005083294,0.0029382757,0.0033755335],"study_design_scores_gemma":[0.001707882,0.00016777735,0.0019137214,0.0007742188,0.00021012414,0.0003226333,0.00092174794,0.54907423,0.23642662,0.0010262682,0.20469357,0.0027611894],"about_ca_topic_score_codex":0.000055717275,"about_ca_topic_score_gemma":0.000026073894,"teacher_disagreement_score":0.749028,"about_ca_system_score_codex":0.00008953263,"about_ca_system_score_gemma":0.00002631067,"threshold_uncertainty_score":0.9999126},"labels":[],"label_agreement":null},{"id":"W2073996443","doi":"10.1007/s11277-013-1416-1","title":"Optimal Timing at the Relay in OFDM Based Two Way Relay Systems","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Relay; Orthogonal frequency-division multiplexing; Fast Fourier transform; Interference (communication); Relay channel; Cyclic prefix; Noise (video); Power (physics); Telecommunications; Real-time computing; Electronic engineering; Algorithm; Channel (broadcasting)","score_opus":0.06674639525651543,"score_gpt":0.30227212056377345,"score_spread":0.23552572530725802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073996443","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":[0.7259399,0.016987542,0.1178139,0.105990365,0.0005998118,0.002549644,0.0000201116,0.00070075004,0.029397964],"genre_scores_gemma":[0.9856319,0.00068082416,0.010910243,0.00073636585,0.000029831872,0.00048160486,0.000032447482,0.000019955867,0.0014768154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754536,0.000989292,0.00045142,0.00033730574,0.00031516887,0.00036143902],"domain_scores_gemma":[0.9949203,0.0011242452,0.00017463752,0.003423083,0.0002491489,0.00010855985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086418586,0.00020607687,0.00022661082,0.00014066782,0.001289481,0.000361605,0.0043078596,0.00007357694,0.000122316],"category_scores_gemma":[0.0000618496,0.0001652037,0.0001005602,0.0008296094,0.00029681166,0.0004961414,0.0019788498,0.0006631171,0.00037902602],"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":[0.000051686307,0.0016308151,0.01780826,0.00010048156,0.00024793114,0.000016505468,0.046922304,0.14826196,0.01647171,0.55833334,0.03684871,0.17330629],"study_design_scores_gemma":[0.00042027823,0.000017980965,0.0046282,0.00010827955,0.0000055691407,0.000012704795,0.00034832407,0.978562,0.000070609545,0.000016786164,0.015586219,0.00022307814],"about_ca_topic_score_codex":0.0004230947,"about_ca_topic_score_gemma":0.00080017647,"teacher_disagreement_score":0.83030003,"about_ca_system_score_codex":0.00029643468,"about_ca_system_score_gemma":0.00012172326,"threshold_uncertainty_score":0.9917775},"labels":[],"label_agreement":null},{"id":"W2076435874","doi":"10.1007/s11277-011-0325-4","title":"Packet Delay Statistics of the Multichannel Selective-Repeat Automatic-Repeat-Request","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Communications Research Centre Canada","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Computer science; Transmission delay; Network packet; Processing delay; Scheduling (production processes); Real-time computing; Computer network; Automatic repeat request; Go-Back-N ARQ; End-to-end delay; Hybrid automatic repeat request; Transmitter; Selective Repeat ARQ; Queue; Queuing delay; Algorithm; Channel (broadcasting); Mathematics; Mathematical optimization; Telecommunications link","score_opus":0.030094937143743433,"score_gpt":0.2381616539797505,"score_spread":0.20806671683600708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076435874","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":[0.36441258,0.002234979,0.608276,0.0003129133,0.0007568075,0.0016678812,0.0010252037,0.0014964946,0.01981712],"genre_scores_gemma":[0.9186434,0.00043603187,0.080538824,0.000031687556,0.000026600417,0.00008990991,0.00008407374,0.000064708474,0.00008472553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987563,0.00015429717,0.00042076258,0.00016475092,0.00022829966,0.00027559686],"domain_scores_gemma":[0.99797994,0.00026191722,0.0001549395,0.0012658708,0.00026159143,0.00007572278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014176259,0.00022091245,0.00024785736,0.00007438478,0.00030402443,0.000016194193,0.00094567327,0.00010577132,0.00005880164],"category_scores_gemma":[0.00006138994,0.00019802967,0.00008417555,0.00044887874,0.00033393526,0.0001826037,0.00021039584,0.00037927326,0.00001799918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001619058,0.0030302026,0.045175824,0.0013856982,0.0026490458,0.000021306256,0.15556659,0.36226034,0.023363514,0.1760477,0.015456368,0.21488151],"study_design_scores_gemma":[0.00028451093,0.000026205233,0.006411925,0.00010560667,0.00006820894,0.000011649773,0.00046176347,0.9894176,0.0020802969,0.00060959876,0.00026350617,0.00025910125],"about_ca_topic_score_codex":0.00008552941,"about_ca_topic_score_gemma":0.000357103,"teacher_disagreement_score":0.6271573,"about_ca_system_score_codex":0.00013372823,"about_ca_system_score_gemma":0.00005536965,"threshold_uncertainty_score":0.80754155},"labels":[],"label_agreement":null},{"id":"W2077603713","doi":"10.1007/s11277-012-0824-y","title":"EDA-Based Scheduling of Users in the MIMO Multiple Access Channel","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Toronto Metropolitan University; Simon Fraser University","funders":"","keywords":"Computer science; Scheduling (production processes); Computational complexity theory; Mathematical optimization; Job shop scheduling; Population; Fair-share scheduling; Estimation of distribution algorithm; MIMO; Computation; Algorithm; Distributed computing; Channel (broadcasting); Schedule; Mathematics; Computer network; Quality of service","score_opus":0.059036875659064326,"score_gpt":0.30204334304671493,"score_spread":0.2430064673876506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077603713","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":[0.7122481,0.004644292,0.27717346,0.0010694852,0.00030687638,0.00094074797,0.00007541158,0.00028836398,0.00325328],"genre_scores_gemma":[0.9926886,0.00010504462,0.006886004,0.000052654206,0.00003543564,0.00013817963,0.00006189292,0.000027168153,0.0000050140434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924546,0.000108256914,0.000245917,0.0000706077,0.00012040363,0.00020934294],"domain_scores_gemma":[0.9987531,0.00038322379,0.00006674847,0.0007007651,0.000057627414,0.000038578077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030069824,0.0001097783,0.00014038656,0.000112742455,0.00011678918,0.000020631722,0.00086631364,0.000061383274,0.0000061660435],"category_scores_gemma":[0.000051553216,0.000100476595,0.00004873645,0.0004006598,0.0000825263,0.00036915689,0.00007379934,0.00023321233,0.000006181424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014753527,0.000312995,0.03834014,0.00020716319,0.000042068783,3.0976452e-7,0.013963126,0.9395927,0.004121513,0.0020351845,0.0000945058,0.0012755452],"study_design_scores_gemma":[0.00035361786,0.0000054871257,0.005412115,0.00010121014,0.000011248333,0.0000017882995,0.002610482,0.99010175,0.000942287,0.000015692805,0.00030181417,0.00014252547],"about_ca_topic_score_codex":0.00009886379,"about_ca_topic_score_gemma":0.0002622962,"teacher_disagreement_score":0.2804405,"about_ca_system_score_codex":0.00006712448,"about_ca_system_score_gemma":0.000020406931,"threshold_uncertainty_score":0.4097317},"labels":[],"label_agreement":null},{"id":"W2078141940","doi":"10.1007/s11277-009-9885-y","title":"Editorial: Special Issue on “Trustworthy and Intelligent Services for Ubiquitous Computing”","year":2009,"lang":"en","type":"editorial","venue":"Wireless Personal Communications","topic":"Context-Aware Activity Recognition Systems","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 Guelph","funders":"","keywords":"Computer science; Trustworthiness; Ubiquitous computing; Computer security; Data science; World Wide Web; Internet privacy; Human–computer interaction","score_opus":0.024140228808599902,"score_gpt":0.30702338551736374,"score_spread":0.28288315670876385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078141940","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":[0.00004365472,0.000711801,0.0060833376,0.0023620725,0.9865122,0.0010692104,0.0004411863,0.00034418982,0.002432359],"genre_scores_gemma":[0.004215111,0.0007500956,0.00224229,0.00024257554,0.99110234,0.0001469338,0.0007327846,0.00006102189,0.00050682307],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99620926,0.0004291185,0.0007150237,0.0009698656,0.0011682389,0.00050851825],"domain_scores_gemma":[0.99091893,0.0047058365,0.00067090464,0.0023457864,0.0011267372,0.00023182904],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009289911,0.0005815351,0.0008354699,0.00031960665,0.00096812355,0.0008753669,0.004203492,0.000892961,0.000014625795],"category_scores_gemma":[0.00019470367,0.0006328067,0.00028026974,0.0003659397,0.00019893757,0.00040879849,0.001223154,0.0014638341,0.00011040483],"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":[0.000036442856,0.00018885754,0.0000023075534,0.0001141844,0.00007269465,9.283512e-7,0.0020619666,0.000001601086,0.000005093841,0.0006987486,0.8039012,0.19291598],"study_design_scores_gemma":[0.0005305876,0.00031015,0.000009793722,0.00052157737,0.00005150472,0.0000049217656,0.00021836681,0.008607941,0.000016003449,0.0004879823,0.98864055,0.0006006347],"about_ca_topic_score_codex":0.00022826646,"about_ca_topic_score_gemma":0.0008502046,"teacher_disagreement_score":0.19231534,"about_ca_system_score_codex":0.00029218587,"about_ca_system_score_gemma":0.00045103914,"threshold_uncertainty_score":0.99961233},"labels":[],"label_agreement":null},{"id":"W2078350109","doi":"10.1007/s11277-013-1331-5","title":"Switched-Diversity Approach for Cognitive Scheduling","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":6,"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; Scheduling (production processes); Fair-share scheduling; Cognition; Dynamic priority scheduling; Schedule; Distributed computing; Mathematical optimization","score_opus":0.049348398435381864,"score_gpt":0.2713810761675543,"score_spread":0.22203267773217245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078350109","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":[0.07016614,0.00041646275,0.9197973,0.0024328625,0.000050725073,0.0005544891,0.000011094618,0.00016467922,0.0064062276],"genre_scores_gemma":[0.85018593,0.00007913974,0.14903723,0.0004152762,0.000060302373,0.000083315485,0.000044397617,0.00001028618,0.00008412124],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989103,0.00009866232,0.00016586085,0.00032745703,0.0001846469,0.000313077],"domain_scores_gemma":[0.99816865,0.00057356706,0.000092201335,0.0006537228,0.00039604906,0.00011583198],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002274661,0.00014688207,0.00017954735,0.00008266582,0.0014742367,0.00021929694,0.0013039842,0.0000684865,0.000011717581],"category_scores_gemma":[0.000046219484,0.00015304418,0.0001322754,0.00032805142,0.00016903557,0.0005202736,0.0013077699,0.00026748877,0.000031274645],"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":[0.000050473183,0.0014665436,0.008875346,0.00010769482,0.0005878748,0.0000038573917,0.02864189,0.00023282335,0.0031660784,0.36751363,0.0019618191,0.587392],"study_design_scores_gemma":[0.00045334798,0.000035365993,0.0034310645,0.00003568799,0.000022653081,0.000012433601,0.0015379139,0.99200237,0.00009612311,0.0019642233,0.00016842716,0.00024039617],"about_ca_topic_score_codex":0.0001803197,"about_ca_topic_score_gemma":0.000028035034,"teacher_disagreement_score":0.99176955,"about_ca_system_score_codex":0.00006271385,"about_ca_system_score_gemma":0.000062182764,"threshold_uncertainty_score":0.9998257},"labels":[],"label_agreement":null},{"id":"W2078864876","doi":"10.1007/s11277-014-1732-0","title":"A New Location-Aware Calendar-Based Application for Dynamic Minimum Path Trip Planning","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Arbutus Biopharma (Canada); Telus (Canada)","funders":"","keywords":"Computer science; Cloud computing; Android (operating system); Context awareness; Ubiquitous computing; Big data; Mobile device; Path (computing); Mobile computing; Data science; Mobile cloud computing; Multimedia; Human–computer interaction; World Wide Web; Telecommunications; Data mining; Computer network; Operating system","score_opus":0.020924096454292412,"score_gpt":0.2849286947159073,"score_spread":0.26400459826161493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078864876","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":[0.006837635,0.00030589598,0.98685783,0.0049685515,0.00008926547,0.00040622667,0.000026497708,0.0002914862,0.00021660683],"genre_scores_gemma":[0.9185203,0.000006645387,0.08036624,0.00044394698,0.000062573396,0.00020913816,0.00014388343,0.000024287068,0.00022299944],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985784,0.00014943197,0.00031556975,0.0004152756,0.00023732345,0.00030397752],"domain_scores_gemma":[0.99672943,0.00073122105,0.00019746524,0.0019170609,0.00026476043,0.00016006705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004641607,0.00018929403,0.0002109027,0.00012886571,0.0007139859,0.00012579568,0.001674807,0.0001025071,0.00000268156],"category_scores_gemma":[0.00007652831,0.00020565031,0.00011105973,0.00046843066,0.00009816615,0.00019199381,0.00018332886,0.00023002033,0.000021532931],"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":[0.000074537274,0.00051772076,0.0015147097,0.00030865194,0.000097509066,0.0000012470316,0.011201568,0.007900252,0.012050172,0.09012576,0.008799469,0.8674084],"study_design_scores_gemma":[0.00056489714,0.000058829377,0.00079607026,0.00011705877,0.000017590623,0.000005416421,0.00021620718,0.9797702,0.00020554604,0.00078556983,0.017218277,0.0002443404],"about_ca_topic_score_codex":0.00012876256,"about_ca_topic_score_gemma":0.000080961756,"teacher_disagreement_score":0.97186995,"about_ca_system_score_codex":0.0001154485,"about_ca_system_score_gemma":0.00038739273,"threshold_uncertainty_score":0.8386176},"labels":[],"label_agreement":null},{"id":"W2082367810","doi":"10.1007/s11277-010-9972-0","title":"Cooperative Subcarrier Allocation for an OFDM Relaying System with Grouped Users","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Iran University of Science and Technology","keywords":"Subcarrier; Computer science; Throughput; Telecommunications link; Orthogonal frequency-division multiplexing; Base station; Channel (broadcasting); Computer network; Wireless; Mathematical optimization; Algorithm; Telecommunications; Mathematics","score_opus":0.055355544923359035,"score_gpt":0.30214396274747196,"score_spread":0.24678841782411293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082367810","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":[0.24715726,0.000346187,0.73873216,0.006433258,0.00029154055,0.0013338855,0.000030085086,0.0007293828,0.004946259],"genre_scores_gemma":[0.9424058,0.000118032156,0.056250006,0.00031143826,0.00006099773,0.0005237716,0.00013722733,0.000030127512,0.00016255875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998344,0.00034583994,0.00033041352,0.00042527157,0.00025323418,0.0003012564],"domain_scores_gemma":[0.9954688,0.00044941527,0.00018061913,0.0028538713,0.0008627309,0.00018459678],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00068986847,0.00022989632,0.0002396047,0.00012870666,0.0017635536,0.00035998248,0.0030611171,0.00010936853,0.000007907278],"category_scores_gemma":[0.00005306637,0.00020975163,0.00007293928,0.00063092995,0.0002839184,0.0010766994,0.00046846143,0.00059134496,0.0000143821935],"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":[0.000033483935,0.00017160535,0.00065896916,0.000022054663,0.000060730832,5.396698e-7,0.008107288,0.00007811392,0.019799525,0.95381814,0.0002277643,0.01702181],"study_design_scores_gemma":[0.0010171693,0.00026413065,0.0020654642,0.00010363202,0.000030773997,0.0000440603,0.0027576468,0.98147273,0.000795843,0.00007876912,0.0108341705,0.0005356195],"about_ca_topic_score_codex":0.00004857647,"about_ca_topic_score_gemma":0.0024412575,"teacher_disagreement_score":0.9813946,"about_ca_system_score_codex":0.00010539911,"about_ca_system_score_gemma":0.00025056445,"threshold_uncertainty_score":0.99953604},"labels":[],"label_agreement":null},{"id":"W2085195828","doi":"10.1007/s11277-013-1332-4","title":"A Hybrid Spectrum Sensing Method for Cognitive Sensor Networks","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Computer science; Markov chain; Energy consumption; Real-time computing; Energy (signal processing); Wireless sensor network; Spectrum (functional analysis); Cognitive network; Hidden Markov model; Computer network; Telecommunications; Artificial intelligence; Wireless; Machine learning; Electrical engineering","score_opus":0.0285563817613929,"score_gpt":0.2902894886849882,"score_spread":0.2617331069235953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085195828","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":[0.010585944,0.00050387613,0.97549427,0.00994757,0.00015864334,0.00075847714,0.000017635013,0.00024798277,0.0022856034],"genre_scores_gemma":[0.7517158,0.00012424336,0.24668962,0.0010054285,0.00018838221,0.000047966398,0.00004572223,0.000028411148,0.0001544504],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980144,0.00035117884,0.0003338189,0.0004986203,0.00021183626,0.0005901549],"domain_scores_gemma":[0.9959862,0.0022737447,0.0001718036,0.0010081141,0.00038068794,0.00017944105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042748422,0.00026036124,0.00033034626,0.00013294168,0.0009881199,0.00044159565,0.00094894995,0.00007574906,0.000021544714],"category_scores_gemma":[0.00007405034,0.00026945674,0.00022193234,0.00037972926,0.00018130096,0.00044364503,0.00050239003,0.00044272083,0.00004652658],"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":[0.00003379999,0.00025195576,0.00016604575,0.000025368183,0.0003227944,0.00001620609,0.0028415201,0.0003644717,0.0013985684,0.071189575,0.0026734408,0.9207162],"study_design_scores_gemma":[0.00046563064,0.000060242342,0.00068890635,0.00009570523,0.000036176476,0.0001587414,0.00038651424,0.99214405,0.000307738,0.004179065,0.0011246031,0.00035264407],"about_ca_topic_score_codex":0.00030603007,"about_ca_topic_score_gemma":0.00012922562,"teacher_disagreement_score":0.99177957,"about_ca_system_score_codex":0.0000949051,"about_ca_system_score_gemma":0.00008785538,"threshold_uncertainty_score":0.99997574},"labels":[],"label_agreement":null},{"id":"W2085668909","doi":"10.1007/s11277-015-2531-y","title":"An Energy-Efficient User Location-Aware Switch-Off Method for LTE-A Cellular Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Carleton University","funders":"","keywords":"Computer science; Minimax; Base station; Cellular network; Energy consumption; Energy (signal processing); User equipment; Efficient energy use; Computer network; Mathematical optimization; Distributed computing; Mathematics","score_opus":0.030780861508046334,"score_gpt":0.2901944012824881,"score_spread":0.25941353977444176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085668909","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":[0.00073186413,0.002240276,0.9950786,0.00020040562,0.0002722572,0.0003473707,0.000038287144,0.00043629197,0.0006546427],"genre_scores_gemma":[0.9028163,0.00012646828,0.095442034,0.00005657162,0.00017228063,0.0004522684,0.0006653187,0.000092178154,0.00017660132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879634,0.00015261283,0.0003466784,0.00023897963,0.00017392897,0.00029147547],"domain_scores_gemma":[0.9976539,0.00022955719,0.00008909073,0.0013046736,0.0005129783,0.00020980355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003885782,0.00021851876,0.00023844792,0.000105356026,0.00029065326,0.00006506879,0.000757975,0.00014855791,0.000006041149],"category_scores_gemma":[0.000029443723,0.00024646625,0.00006988637,0.00042260037,0.0000618476,0.00021720662,0.0000832825,0.00019992489,0.000009496196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008074553,0.00006258948,0.000036663172,0.000020745167,0.000032646843,1.9330155e-7,0.0008946534,0.9842991,0.000581519,0.00897349,0.0006740614,0.0044162683],"study_design_scores_gemma":[0.0003953259,0.000028991677,0.000011278062,0.000040399787,0.00003256086,0.0000027168069,0.001444614,0.9820753,0.00030270638,0.000086083404,0.015303475,0.00027660283],"about_ca_topic_score_codex":0.00006313103,"about_ca_topic_score_gemma":0.00017211954,"teacher_disagreement_score":0.9020844,"about_ca_system_score_codex":0.0002474695,"about_ca_system_score_gemma":0.00008054734,"threshold_uncertainty_score":0.99999875},"labels":[],"label_agreement":null},{"id":"W2088255890","doi":"10.1007/s11277-010-0010-z","title":"A Distributed Message-passing Approach for Clustering Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"Defence Research and Development Canada","keywords":"Computer science; Computer network; Cognitive radio; Overhead (engineering); Cluster analysis; Distributed computing; Wireless ad hoc network; Node (physics); Key (lock); Wireless network; Wireless; Artificial intelligence; Telecommunications","score_opus":0.028451399718563388,"score_gpt":0.273465275818748,"score_spread":0.24501387610018463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088255890","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":[0.00823613,0.00035446326,0.9860077,0.0013634095,0.00020070575,0.0004522499,0.000049100774,0.00022793993,0.0031083392],"genre_scores_gemma":[0.8918534,0.000069156304,0.10723195,0.00018918082,0.00020314804,0.00008836767,0.00029400326,0.00002601655,0.00004477631],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984362,0.00014548545,0.00029069997,0.00044810647,0.00019744055,0.0004820612],"domain_scores_gemma":[0.99749297,0.0009275317,0.0001584388,0.0009842697,0.00027706168,0.00015973012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047157242,0.00023040871,0.00027932494,0.00009355562,0.0011701079,0.00042979632,0.0013893684,0.00013875276,0.000007045425],"category_scores_gemma":[0.00007886696,0.00024171997,0.00017836639,0.0005094628,0.00030919258,0.00039216736,0.00060347683,0.00077433203,0.0000026688847],"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":[0.00021280376,0.0017167528,0.0024653035,0.00013532166,0.0007966272,0.000022905399,0.010975861,0.0037047116,0.008026373,0.2671661,0.0029064547,0.7018708],"study_design_scores_gemma":[0.0005852044,0.00003074344,0.0016184218,0.00005446208,0.000035683126,0.0000696755,0.0003849779,0.99556005,0.000055717745,0.00024923225,0.001045769,0.00031006124],"about_ca_topic_score_codex":0.000034624136,"about_ca_topic_score_gemma":0.00020255086,"teacher_disagreement_score":0.9918553,"about_ca_system_score_codex":0.000060903465,"about_ca_system_score_gemma":0.00009511079,"threshold_uncertainty_score":0.98570544},"labels":[],"label_agreement":null},{"id":"W2089772271","doi":"10.1007/s11277-012-0908-8","title":"Cooperative Cognitive Radio Networks: New Approach for Detection Accuracy Analysis Under Impaired Channels","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Computer science; Rayleigh fading; False alarm; Expression (computer science); Channel (broadcasting); Relay; Algorithm; Probability density function; Signal-to-noise ratio (imaging); Topology (electrical circuits); Fading; Telecommunications; Statistics; Artificial intelligence; Mathematics; Wireless","score_opus":0.05775459033826516,"score_gpt":0.3038638422080039,"score_spread":0.24610925186973873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089772271","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":[0.011189981,0.001652231,0.9844479,0.00097225554,0.00016709753,0.0006005553,0.000016137803,0.00016870783,0.00078515336],"genre_scores_gemma":[0.9800293,0.00026603366,0.018250454,0.0003725477,0.00045954363,0.00012748578,0.00020742528,0.000024478391,0.00026275788],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998078,0.0003696442,0.0003181963,0.00042255124,0.00022117066,0.00059045164],"domain_scores_gemma":[0.99677676,0.001521125,0.00020524678,0.00086861744,0.000338189,0.000290083],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054205535,0.00026587618,0.00039333533,0.0002569498,0.0011237228,0.0003082829,0.00092625775,0.00012552642,0.000017280894],"category_scores_gemma":[0.000097300544,0.00026674062,0.00033984453,0.0018873182,0.00016848455,0.0009273796,0.00033379812,0.0003646501,0.000009493363],"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":[0.00045401746,0.0031897957,0.004140959,0.000059808663,0.011192739,0.0000030650317,0.06098992,0.059239253,0.0025048617,0.16146706,0.0033830702,0.69337547],"study_design_scores_gemma":[0.0005884628,0.000051111307,0.0038211674,0.000020917747,0.0004015527,0.00001950733,0.0012122188,0.99283695,0.00020298659,0.000120530516,0.0003752161,0.00034939795],"about_ca_topic_score_codex":0.00015905943,"about_ca_topic_score_gemma":0.00018761634,"teacher_disagreement_score":0.9688393,"about_ca_system_score_codex":0.00018187097,"about_ca_system_score_gemma":0.000121983714,"threshold_uncertainty_score":0.9999785},"labels":[],"label_agreement":null},{"id":"W2090008908","doi":"10.1007/s11277-014-1898-5","title":"Low-Complexity Load Balancing with a Self-Organized Intelligent Distributed Antenna System","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","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":"Simon Fraser University","funders":"","keywords":"Computer science; Load balancing (electrical power); Distributed computing; Particle swarm optimization; Distributed antenna system; Quality of service; Base station; Computer network; Algorithm","score_opus":0.03176952564830839,"score_gpt":0.27102669204945534,"score_spread":0.23925716640114694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090008908","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":[0.040561512,0.00047584722,0.94651675,0.006699055,0.0000989134,0.0006623915,0.00003550534,0.0015653225,0.0033846984],"genre_scores_gemma":[0.93852454,0.00021035734,0.06065437,0.00016715717,0.000056538567,0.00016718538,0.00012048902,0.00004262553,0.000056761357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959169,0.0012001655,0.0005808942,0.000602838,0.0010131965,0.0006860177],"domain_scores_gemma":[0.99156624,0.00095679174,0.00030633484,0.0057726,0.0010572688,0.00034079156],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0014014815,0.00035529296,0.00048335543,0.00016671447,0.0013206295,0.00047519858,0.0077412496,0.00013336843,0.000016835016],"category_scores_gemma":[0.000102208774,0.0003207519,0.00012734649,0.0016263869,0.0005020149,0.000518613,0.0027079342,0.00091573497,0.00018476795],"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":[0.00016992475,0.0025109462,0.006414771,0.0006550494,0.000533518,0.000021404889,0.015999788,0.00036662412,0.0053737047,0.9254103,0.0015609994,0.040982977],"study_design_scores_gemma":[0.00075545686,0.000095201496,0.0034667174,0.0003395287,0.000021467953,0.00007971319,0.0007698487,0.9896983,0.00038447828,0.00019918528,0.0037343,0.00045582998],"about_ca_topic_score_codex":0.00025922633,"about_ca_topic_score_gemma":0.00048063564,"teacher_disagreement_score":0.98933166,"about_ca_system_score_codex":0.0008827662,"about_ca_system_score_gemma":0.00050336996,"threshold_uncertainty_score":0.9999795},"labels":[],"label_agreement":null},{"id":"W2090676174","doi":"10.1007/s11277-008-9504-3","title":"Comparison of Partial CSI Encoding Methods in Multi-User MIMO Systems","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"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 Alberta","funders":"","keywords":"Computer science; MIMO; Channel state information; Base station; Scheduling (production processes); Multiplexing; Dirty paper coding; Coding (social sciences); ENCODE; Real-time computing; Computer network; Algorithm; Channel (broadcasting); Wireless; Telecommunications; Precoding; Mathematical optimization; Mathematics; Statistics","score_opus":0.12868885550949224,"score_gpt":0.39515487596576826,"score_spread":0.266466020456276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090676174","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":[0.0746653,0.005597397,0.9165983,0.000053427306,0.0002817737,0.00046140028,0.000027360149,0.00026155022,0.0020534967],"genre_scores_gemma":[0.8805155,0.00038791637,0.1187859,0.0000034042941,0.000019044714,0.000110116125,0.000035106455,0.00003420846,0.000108797576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998681,0.00026335873,0.00059125945,0.00013789943,0.0001221967,0.00020425399],"domain_scores_gemma":[0.99870706,0.00030803325,0.00012375026,0.00070675556,0.00009781027,0.00005660189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002736387,0.00015045534,0.0003838199,0.00016188578,0.00015708257,0.000011372754,0.0004872875,0.000106376305,0.000007344285],"category_scores_gemma":[0.000048658203,0.00017271469,0.000061022514,0.00038168882,0.0001384163,0.00019090355,0.00009491338,0.00030282536,0.000008820103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014830477,0.00042213575,0.06081861,0.00030476062,0.00009738764,0.0000028517204,0.024168756,0.8450639,0.06090625,0.0059928456,0.00022887021,0.0019787848],"study_design_scores_gemma":[0.00037706154,0.000011211677,0.0014433772,0.00013004772,0.000010493998,0.00001048292,0.0020877428,0.9908986,0.003010124,0.0000022446825,0.0018376003,0.0001810036],"about_ca_topic_score_codex":0.00016482528,"about_ca_topic_score_gemma":0.00011295022,"teacher_disagreement_score":0.8058502,"about_ca_system_score_codex":0.00013791189,"about_ca_system_score_gemma":0.00003107896,"threshold_uncertainty_score":0.70431006},"labels":[],"label_agreement":null},{"id":"W2093407554","doi":"10.1007/s11277-009-9809-x","title":"Performance Analysis of MIMO Based CDMA Code Acquisition Over Rayleigh Fading Channels","year":2009,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Rayleigh fading; MIMO; Code division multiple access; False alarm; Fading; Interference (communication); Antenna (radio); Code (set theory); Electronic engineering; Diversity combining; Transmit diversity; Telecommunications; Channel (broadcasting); Engineering; Artificial intelligence","score_opus":0.024562911407374103,"score_gpt":0.2828793641338247,"score_spread":0.2583164527264506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093407554","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":[0.92238784,0.001300519,0.06760351,0.00081769994,0.000060793805,0.00038823966,0.00018251452,0.0011661403,0.0060927593],"genre_scores_gemma":[0.9849198,0.0013490302,0.013038104,0.00016831492,0.000018598852,0.000078914825,0.0003588934,0.000033776563,0.000034600365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866354,0.00010487785,0.00049617456,0.00019284163,0.00027710345,0.00026543663],"domain_scores_gemma":[0.9973807,0.00024935856,0.00016669228,0.0019424842,0.00017782432,0.00008294228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023733643,0.00023339986,0.00042914442,0.00062257994,0.00028489626,0.000031227446,0.0012729313,0.00012984216,0.00007362516],"category_scores_gemma":[0.000014052477,0.0002709136,0.00022227528,0.0015557439,0.00017511663,0.00035001364,0.00010579231,0.0003664136,0.000009156527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015024489,0.001343258,0.013201596,0.0003527616,0.0022438692,0.000002786822,0.008678568,0.5960029,0.24705848,0.018684587,0.0015031009,0.11077787],"study_design_scores_gemma":[0.00023458686,0.000044547916,0.021995252,0.00010612426,0.0002128993,9.540703e-7,0.00007620488,0.96113354,0.014623812,0.000095871765,0.0011849245,0.00029130455],"about_ca_topic_score_codex":0.000012648244,"about_ca_topic_score_gemma":0.000021328598,"teacher_disagreement_score":0.36513063,"about_ca_system_score_codex":0.00017165107,"about_ca_system_score_gemma":0.000028033679,"threshold_uncertainty_score":0.9999743},"labels":[],"label_agreement":null},{"id":"W2095246136","doi":"10.1007/s11277-006-9049-2","title":"Congestion due to Rate Variations in cdma2000 Data Networks","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Network Traffic and Congestion Control","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":"Carleton University","funders":"","keywords":"Computer science; Computer network; Router; Queue; Bandwidth (computing); Network packet; Queueing theory; CDMA2000; Network congestion; Packet loss; Bandwidth allocation; Distributed computing; Real-time computing","score_opus":0.03186145943287915,"score_gpt":0.2684822787533118,"score_spread":0.23662081932043266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095246136","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":[0.0071559064,0.0007606277,0.95806986,0.0293539,0.0002496764,0.0004327752,0.00004290113,0.00029530888,0.0036390685],"genre_scores_gemma":[0.9822939,0.00008048829,0.015828906,0.0008103234,0.00014084084,0.00012123371,0.00028604752,0.000012989017,0.00042525973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830616,0.0003748204,0.00036646507,0.00044448423,0.0001834429,0.00032461967],"domain_scores_gemma":[0.99629396,0.0005648343,0.000099028926,0.0028083352,0.00013003057,0.00010381143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007117627,0.00015844895,0.00020409799,0.00015773538,0.00038048872,0.00021236415,0.0036625683,0.00009003142,0.00001854385],"category_scores_gemma":[0.000039185994,0.0001754145,0.000038418308,0.00096095505,0.00008244064,0.0005518933,0.0009670618,0.0003430133,0.00008880945],"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":[0.00001767311,0.00040501414,0.0013219608,0.0000040449445,0.000026760377,0.000013253701,0.00054227153,0.026691481,0.000106665044,0.6589153,0.007952609,0.30400297],"study_design_scores_gemma":[0.0003573663,0.000016061378,0.019345768,0.000032952295,0.0000098683995,0.000011875917,0.000029085913,0.96698034,0.0000013855833,0.0008199174,0.012194728,0.00020064795],"about_ca_topic_score_codex":0.00073693687,"about_ca_topic_score_gemma":0.004747309,"teacher_disagreement_score":0.975138,"about_ca_system_score_codex":0.00008664191,"about_ca_system_score_gemma":0.0001498385,"threshold_uncertainty_score":0.71531963},"labels":[],"label_agreement":null},{"id":"W2095369243","doi":"10.1007/s11277-013-1513-1","title":"Ant Colony Optimization Based Sub-channel Allocation Algorithm for Small Cell HetNets","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Macrocell; Computer science; Ant colony optimization algorithms; Computer network; Telecommunications link; Heterogeneous network; Resource allocation; Interference (communication); Femtocell; Base station; Distributed computing; Channel (broadcasting); Algorithm; Wireless network; Wireless; Telecommunications","score_opus":0.020868062573687333,"score_gpt":0.22873117315061586,"score_spread":0.20786311057692852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095369243","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":[0.001355862,0.0006362946,0.9944434,0.00041695815,0.00015486727,0.0013646438,0.00008609675,0.0004348533,0.0011070205],"genre_scores_gemma":[0.6471553,0.00037472844,0.3495105,0.00008213884,0.00006111631,0.001358477,0.0011863961,0.00009029159,0.00018107907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989206,0.00008166891,0.00036843243,0.00021979949,0.00011849572,0.0002909646],"domain_scores_gemma":[0.9983653,0.00024125216,0.00011527502,0.0007529128,0.00041780318,0.000107484564],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016102366,0.00022476369,0.0002113901,0.00014119898,0.00036653082,0.00007892553,0.00048400264,0.00014554316,0.000025271533],"category_scores_gemma":[0.000017036873,0.0002646536,0.000082383005,0.00028339296,0.00007393615,0.00034772052,0.00004415149,0.00017696293,0.000041612027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027388023,0.00009706415,0.000010715774,0.00007746221,0.000020574113,1.17763236e-7,0.00045651238,0.9892457,0.0032180909,0.00014059037,0.00073740655,0.0059929998],"study_design_scores_gemma":[0.00058162183,0.0000353689,0.000027031108,0.0000493292,0.000024806293,0.0000021070139,0.00028939545,0.99549186,0.0024799604,0.000046007637,0.0006882579,0.00028425746],"about_ca_topic_score_codex":0.00008897197,"about_ca_topic_score_gemma":0.0001084214,"teacher_disagreement_score":0.64579946,"about_ca_system_score_codex":0.00020934755,"about_ca_system_score_gemma":0.0000669954,"threshold_uncertainty_score":0.99998057},"labels":[],"label_agreement":null},{"id":"W2102526299","doi":"10.1007/s11277-013-1353-z","title":"A Beacon-Based Collision-Free Channel Access Scheme for IEEE 802.11 WLANs","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"BC Cancer Agency","keywords":"Distributed coordination function; Computer science; Exponential backoff; Computer network; IEEE 802.11; Network allocation vector; Throughput; Random access; Quality of service; Collision; Channel (broadcasting); IEEE 802.11e-2005; Frame (networking); Inter-Access Point Protocol; Access control; Real-time computing; Wireless; Wi-Fi; Wireless network; Wi-Fi array; Telecommunications","score_opus":0.069875539702552,"score_gpt":0.32626409618859414,"score_spread":0.25638855648604214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102526299","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":[0.034260336,0.0004526285,0.90299845,0.044639133,0.0004304097,0.014467857,0.00023171035,0.0006800728,0.0018393899],"genre_scores_gemma":[0.9016652,0.00004744893,0.066891365,0.0021518078,0.00019194407,0.028575955,0.00010061474,0.000047048125,0.0003286025],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979598,0.00017759985,0.00042876342,0.00049703,0.000382825,0.00055401673],"domain_scores_gemma":[0.9944263,0.0010588296,0.00023203611,0.003507306,0.0005324626,0.00024308312],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00041782713,0.0002902402,0.00034148296,0.00015561601,0.0009915252,0.0007749775,0.008624554,0.00017460463,0.0000432373],"category_scores_gemma":[0.0000616147,0.00027947614,0.00022535845,0.00066504866,0.00023038012,0.0009783441,0.0011452524,0.00034095594,0.00006394859],"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":[0.00021259183,0.0049702474,0.011206645,0.00083660224,0.0005791152,0.000011977226,0.010234808,0.006510838,0.0070620957,0.3377504,0.51538134,0.10524333],"study_design_scores_gemma":[0.0012559971,0.000098943354,0.0015778086,0.0001683211,0.000011682688,0.0000040225086,0.00008755507,0.97623736,0.0006160795,0.0036393185,0.015855774,0.00044713114],"about_ca_topic_score_codex":0.00052272284,"about_ca_topic_score_gemma":0.00041215183,"teacher_disagreement_score":0.9697265,"about_ca_system_score_codex":0.000091265174,"about_ca_system_score_gemma":0.00032381024,"threshold_uncertainty_score":0.9999657},"labels":[],"label_agreement":null},{"id":"W2110677284","doi":"10.1007/s11277-007-9286-z","title":"Simulation, implementation and performance evaluation of a diversity enabled WCDMA mobile terminal","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","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":"Polytechnique Montréal","funders":"","keywords":"Computer science; Cellular network; Computer network; Computer hardware; Embedded system","score_opus":0.10056162516562885,"score_gpt":0.3964033685962085,"score_spread":0.2958417434305797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110677284","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":[0.9474753,0.0006137893,0.049749754,0.00034133717,0.000033165637,0.0006149118,0.00000868186,0.00006726142,0.001095778],"genre_scores_gemma":[0.99186695,0.00030238295,0.007602906,0.000040206487,0.000019045901,0.0000767326,0.000052346535,0.000009200871,0.000030247507],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976614,0.00043338296,0.00042367613,0.00026264932,0.0009373622,0.000281543],"domain_scores_gemma":[0.9960466,0.00090108835,0.00025922843,0.0015974318,0.0010867402,0.00010891395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035843505,0.000133725,0.00017331442,0.00024493848,0.0010285518,0.000071960974,0.0019952715,0.00007220708,0.000037841284],"category_scores_gemma":[0.000051343304,0.00014642095,0.00005145847,0.0006963123,0.0002846597,0.00077993044,0.002674621,0.00026528837,0.000006817502],"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":[0.00004680304,0.00031590837,0.06516847,0.00004683681,0.00007176162,7.012561e-7,0.014468129,0.0057303207,0.0007193208,0.011277944,0.00007657793,0.90207726],"study_design_scores_gemma":[0.00063378125,0.000084759246,0.11877223,0.000028487535,0.000024766303,0.0000046871246,0.0011938649,0.8781687,0.00034871435,0.00018746508,0.00040988415,0.0001426724],"about_ca_topic_score_codex":0.00014794404,"about_ca_topic_score_gemma":0.00029860434,"teacher_disagreement_score":0.90193456,"about_ca_system_score_codex":0.00018295449,"about_ca_system_score_gemma":0.00018745691,"threshold_uncertainty_score":0.7910893},"labels":[],"label_agreement":null},{"id":"W2115781656","doi":"10.1007/s11277-008-9558-2","title":"A Rigorous Proof of MIMO Channel Capacity’s Increase with Antenna Number","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Computer science; MIMO; Channel capacity; Transmitter; Channel (broadcasting); Antenna (radio); Simple (philosophy); Precoding; Proof of concept; Matrix (chemical analysis); Telecommunications; Topology (electrical circuits); Algorithm; Electrical engineering","score_opus":0.027833094183130756,"score_gpt":0.2340433866565486,"score_spread":0.20621029247341785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115781656","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":[0.7999353,0.0008025195,0.18406941,0.00022981768,0.00006837424,0.0007278,0.0001616084,0.00047795175,0.013527245],"genre_scores_gemma":[0.98493683,0.00022496282,0.014396686,0.00001699628,0.000023776522,0.00012698973,0.00006413279,0.00004970216,0.00015991229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920785,0.00006087375,0.0002575196,0.00012953524,0.00015450253,0.00018973793],"domain_scores_gemma":[0.99873585,0.000083385254,0.0000873722,0.00081037637,0.00020264347,0.000080363556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007658715,0.0001627451,0.0002382113,0.00007127621,0.00020942066,0.0000069827056,0.0004082092,0.00007011784,0.000018801818],"category_scores_gemma":[0.000017620769,0.00015897659,0.000048094334,0.0003301591,0.000285848,0.00021255529,0.00006500835,0.00022371713,0.000015322881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009932836,0.006940934,0.090871714,0.0049013197,0.003774667,0.00020343406,0.25014725,0.4708186,0.11151768,0.041677583,0.0070041684,0.011149349],"study_design_scores_gemma":[0.0014604965,0.00009657346,0.002222197,0.00044919123,0.0000719507,0.00070758606,0.0018072155,0.9880922,0.0032095308,0.0001260999,0.0010108174,0.0007461864],"about_ca_topic_score_codex":0.00027972215,"about_ca_topic_score_gemma":0.00037042773,"teacher_disagreement_score":0.51727355,"about_ca_system_score_codex":0.00008048951,"about_ca_system_score_gemma":0.000044587625,"threshold_uncertainty_score":0.6482877},"labels":[],"label_agreement":null},{"id":"W2119752681","doi":"10.1007/s11277-014-1894-9","title":"Throughput and Delay Analysis of IEEE 802.11 DCF in the Presence of Hidden Nodes for Multi-hop Wireless Networks","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Universiti Sains Malaysia","keywords":"Computer science; Computer network; Hop (telecommunications); Throughput; IEEE 802.11; Wireless network; Wireless; IEEE 802.11s; Telecommunications; Wireless mesh network","score_opus":0.06438767091292312,"score_gpt":0.3302529421118731,"score_spread":0.26586527119895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119752681","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":[0.21868736,0.0006163512,0.7769914,0.0011210932,0.000050229133,0.0022859043,0.00003781265,0.000035363497,0.00017446665],"genre_scores_gemma":[0.9717607,0.0002735972,0.026279932,0.00016050597,0.000032722197,0.0014383665,0.000025180669,0.000012359892,0.000016647144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793875,0.0005869227,0.0005425589,0.00034292162,0.0002884342,0.00030038875],"domain_scores_gemma":[0.99506193,0.0023904892,0.00036538337,0.0018766719,0.00024629294,0.00005924534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013111831,0.0001904492,0.00051377644,0.00019522004,0.00028685515,0.00008785118,0.0031566496,0.00012625405,0.0000024255628],"category_scores_gemma":[0.00004723617,0.00015148678,0.00019970926,0.0013878442,0.0004578769,0.00027580885,0.0004583651,0.00026781604,3.699324e-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":[0.00015282874,0.0020630416,0.17437966,0.00036972726,0.0012993176,0.0000024344656,0.042470355,0.037097402,0.0013768527,0.50025725,0.0008966476,0.23963447],"study_design_scores_gemma":[0.00047295043,0.000059602102,0.029014787,0.00010234795,0.00010636398,0.0000021881872,0.00033266196,0.9690526,0.00006835177,0.00022431261,0.00040089662,0.00016293263],"about_ca_topic_score_codex":0.00070823956,"about_ca_topic_score_gemma":0.00287752,"teacher_disagreement_score":0.9319552,"about_ca_system_score_codex":0.000020790127,"about_ca_system_score_gemma":0.00006918879,"threshold_uncertainty_score":0.6177451},"labels":[],"label_agreement":null},{"id":"W2120697393","doi":"10.1007/s11277-012-0727-y","title":"Turbo Receiver for Multicarrier Spread Spectrum Systems Employing Parity Bit Selected Spreading Sequences","year":2012,"lang":"en","type":"article","venue":"Wireless Personal 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 Ottawa","funders":"","keywords":"Computer science; Algorithm; Turbo code; Parity bit; Turbo; Decoding methods; Turbo equalizer; Detector; Bit error rate; Encoder; Low-density parity-check code; Electronic engineering; Real-time computing; Telecommunications; Error floor","score_opus":0.07939102959598333,"score_gpt":0.3347792253170844,"score_spread":0.25538819572110105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120697393","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":[0.31792426,0.020242622,0.6075502,0.031670753,0.001990366,0.0057560187,0.00027964436,0.0028651007,0.011721025],"genre_scores_gemma":[0.9600518,0.0006461878,0.03764173,0.000109162225,0.00021822486,0.0007049368,0.00011033451,0.000049324528,0.00046833456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99612874,0.0010016692,0.0006016985,0.00050226535,0.0006439985,0.0011216123],"domain_scores_gemma":[0.9928157,0.0021157032,0.00029161497,0.0037190407,0.0006117296,0.0004462462],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.00165697,0.00034046517,0.0004355588,0.00028238786,0.0016801415,0.000549315,0.005917183,0.00022734675,0.000024994883],"category_scores_gemma":[0.000306135,0.00034638622,0.00017144716,0.0015073085,0.00045035916,0.0015092684,0.0016798159,0.00091856695,0.00008257222],"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":[0.00014649855,0.0024424389,0.218811,0.0004988637,0.001039971,0.0000054200336,0.04413258,0.0018446883,0.012471838,0.6539879,0.012150417,0.05246841],"study_design_scores_gemma":[0.00067931524,0.000076311655,0.017797329,0.00023786737,0.000045219098,0.00005380182,0.0009937304,0.9557544,0.00092832034,0.00042765914,0.022213483,0.0007925863],"about_ca_topic_score_codex":0.0005176419,"about_ca_topic_score_gemma":0.0002203881,"teacher_disagreement_score":0.9539097,"about_ca_system_score_codex":0.00041167857,"about_ca_system_score_gemma":0.00029878,"threshold_uncertainty_score":0.9998988},"labels":[],"label_agreement":null},{"id":"W2122369856","doi":"10.1007/s11277-014-2025-3","title":"Location Prediction of Vehicles in VANETs Using A Kalman Filter","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Kalman filter; Extended Kalman filter; Vehicular ad hoc network; Real-time computing; Routing (electronic design automation); Artificial neural network; Filter (signal processing); Data mining; Computer network; Artificial intelligence; Wireless ad hoc network; Telecommunications; Wireless; Computer vision","score_opus":0.028128014680799805,"score_gpt":0.24133103247875295,"score_spread":0.21320301779795314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122369856","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":[0.98755515,0.00083420146,0.009729877,0.00014258751,0.00006494497,0.00017983884,0.000017351647,0.00013484263,0.0013411981],"genre_scores_gemma":[0.9971038,0.0001485911,0.002514177,0.000026235999,0.000050341965,0.000029093346,0.00008127058,0.000031630785,0.000014820275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909514,0.0001253355,0.000304088,0.00012172728,0.00015971233,0.00019398388],"domain_scores_gemma":[0.9990887,0.00012585308,0.00005838035,0.0005890595,0.00008764916,0.00005033016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024030838,0.00012221538,0.00017274485,0.0001365538,0.00008944532,0.000017754764,0.0003911403,0.00009841209,0.000014930587],"category_scores_gemma":[0.000021173186,0.00014349555,0.000045605433,0.00034886986,0.00011165893,0.00017607685,0.00008234472,0.0002752958,0.000010206166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008064878,0.00011064517,0.008252934,0.00014516807,0.00004654324,5.074066e-7,0.0019726788,0.95148057,0.028059717,0.0021572048,0.00023316132,0.007532825],"study_design_scores_gemma":[0.00024169579,0.000015307975,0.020769427,0.00018903908,0.000017113869,0.000007030076,0.00012653909,0.9769198,0.00046724832,0.000120063654,0.0010183516,0.000108421285],"about_ca_topic_score_codex":0.00013960716,"about_ca_topic_score_gemma":0.00041925098,"teacher_disagreement_score":0.027592469,"about_ca_system_score_codex":0.00012022419,"about_ca_system_score_gemma":0.00002551086,"threshold_uncertainty_score":0.5851579},"labels":[],"label_agreement":null},{"id":"W2123316989","doi":"10.1007/s11277-015-2298-1","title":"Optimal Energy to Spectral-Efficiency Trade-off in Cooperative Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Relay; Computer science; Path loss; Metric (unit); Spectral efficiency; Power (physics); Transmitter power output; Fading; Efficient energy use; Throughput; Mathematical optimization; Antenna (radio); Computer network; Telecommunications; Topology (electrical circuits); Wireless; Electrical engineering; Mathematics; Beamforming; Decoding methods","score_opus":0.0584829365015486,"score_gpt":0.30102412182619,"score_spread":0.2425411853246414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123316989","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":[0.03530128,0.0071865628,0.90287143,0.037217468,0.00027085442,0.00047451028,0.000008458924,0.00035034204,0.016319098],"genre_scores_gemma":[0.98288316,0.0017808074,0.013155345,0.0017016885,0.00005756513,0.0000978325,0.000028823717,0.000018515962,0.00027625536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977743,0.000632695,0.0004175581,0.0004221276,0.0003105059,0.000442822],"domain_scores_gemma":[0.9969995,0.00030051178,0.00008749965,0.0020649703,0.00020427188,0.00034325322],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00064146094,0.00023753667,0.0002848526,0.00024499002,0.00045610746,0.0002336379,0.0040000286,0.00008831515,0.000017062113],"category_scores_gemma":[0.00007402745,0.00024597577,0.00007644424,0.0018819108,0.00018328826,0.00045867998,0.0015054198,0.0004953543,0.000037140777],"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":[0.00004062564,0.00095634384,0.00066201645,0.0000031380482,0.00004191742,0.000012924958,0.02670334,0.08050222,0.00048152838,0.77090317,0.008041705,0.11165107],"study_design_scores_gemma":[0.00048502334,0.00012447653,0.0012355469,0.000048466638,0.000003732996,0.000015799742,0.000764786,0.96373105,0.0000816517,0.000076550634,0.03309009,0.00034284045],"about_ca_topic_score_codex":0.00006149731,"about_ca_topic_score_gemma":0.0011135964,"teacher_disagreement_score":0.9475819,"about_ca_system_score_codex":0.00027238068,"about_ca_system_score_gemma":0.00029933424,"threshold_uncertainty_score":0.9999992},"labels":[],"label_agreement":null},{"id":"W2127571792","doi":"10.1007/s11277-006-9139-1","title":"A Novel Nonlinear Precoding Algorithm for the Downlink of Multiple Antenna Multi-User Systems","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"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 Alberta","funders":"","keywords":"Computer science; Precoding; Algorithm; Telecommunications link; Transmitter; Interference (communication); Antenna (radio); Channel (broadcasting); Telecommunications; MIMO","score_opus":0.03442310715709587,"score_gpt":0.2655837089323305,"score_spread":0.23116060177523465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127571792","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":[0.001263975,0.0028684202,0.99385595,0.000093588606,0.00017616952,0.0008428944,0.0005742966,0.00018851258,0.00013618873],"genre_scores_gemma":[0.7177274,0.0002390554,0.28094697,0.000006578983,0.00009787698,0.0004022665,0.00022789919,0.000054933364,0.000297019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909693,0.00003116614,0.0004200384,0.00013560425,0.00011159374,0.00020469609],"domain_scores_gemma":[0.998179,0.00065692863,0.00012844546,0.0007661146,0.00023874472,0.000030768617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019891381,0.00015909522,0.00022194335,0.000072565344,0.00028898512,0.00003477821,0.00058739824,0.000086988424,0.0000018284023],"category_scores_gemma":[0.000031559353,0.00013821037,0.00010065523,0.00021817883,0.00011115711,0.00015165196,0.000080499725,0.00017853898,0.0000038880435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023903529,0.0007682592,0.0014739159,0.0006266283,0.0004261156,4.890254e-7,0.0027997456,0.8307948,0.13406883,0.0076894667,0.0004674287,0.0208604],"study_design_scores_gemma":[0.00068606227,0.000009330706,0.00021616249,0.00010378357,0.000031389533,0.0000073063247,0.0007676062,0.9936943,0.00033950133,0.000002867982,0.0039899643,0.00015174397],"about_ca_topic_score_codex":0.00035918847,"about_ca_topic_score_gemma":0.00038021873,"teacher_disagreement_score":0.71646345,"about_ca_system_score_codex":0.0000848604,"about_ca_system_score_gemma":0.000023542772,"threshold_uncertainty_score":0.56360555},"labels":[],"label_agreement":null},{"id":"W2135265374","doi":"10.1007/s11277-011-0378-4","title":"An Application Oriented Power Saving MAC Protocol for Wireless Sensor Networks","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Overhead (engineering); Quality of service; Computer network; Wireless sensor network; Efficient energy use; Access control; Protocol (science); Energy (signal processing); Power control; Energy consumption; Distributed computing; Power (physics)","score_opus":0.043809167975323485,"score_gpt":0.3067560082850001,"score_spread":0.26294684030967663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135265374","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":[0.0071000406,0.000025657671,0.9522931,0.00044050976,0.00014529693,0.036252756,0.000017232469,0.00077689445,0.002948496],"genre_scores_gemma":[0.7370297,0.000008355361,0.12325589,0.00031124655,0.00009513377,0.13902204,0.00008785284,0.00006904507,0.000120755365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99695206,0.0003805723,0.0006429967,0.0008638055,0.00042078336,0.0007397559],"domain_scores_gemma":[0.99434084,0.00037120556,0.00042986122,0.0039598267,0.0005892827,0.0003089887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006110791,0.00041073587,0.00037066633,0.0001976906,0.001120482,0.00018626149,0.0041396455,0.00026949687,0.000027286278],"category_scores_gemma":[0.00002157747,0.00042555068,0.00019943307,0.00091232517,0.0003454928,0.0007136654,0.000654718,0.00053485937,0.000025295112],"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":[0.0003719208,0.00434061,0.0056223823,0.00011327025,0.00020926142,0.000008832442,0.014051155,0.011049137,0.007908074,0.8587564,0.0009040947,0.09666482],"study_design_scores_gemma":[0.0009123852,0.00019958623,0.0021395648,0.00007885396,0.000017233362,0.000018759758,0.00036915587,0.9852282,0.00047505007,0.00017628161,0.009831564,0.0005533949],"about_ca_topic_score_codex":0.00010727441,"about_ca_topic_score_gemma":0.00023916434,"teacher_disagreement_score":0.974179,"about_ca_system_score_codex":0.00015885613,"about_ca_system_score_gemma":0.00012527459,"threshold_uncertainty_score":0.99981964},"labels":[],"label_agreement":null},{"id":"W2137634826","doi":"10.1007/s11277-012-0517-6","title":"Cognitive Femtocell: A Cost-Effective Approach Towards 4G Autonomous Infrastructure Networks","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"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":"Femtocell; Macrocell; Computer science; Computer network; Underlay; Cognitive radio; Throughput; Base station; Cellular network; Telecommunications link; Interference (communication); Channel (broadcasting); Wireless; Telecommunications; Signal-to-noise ratio (imaging)","score_opus":0.022419740993032126,"score_gpt":0.2690133066203031,"score_spread":0.24659356562727097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137634826","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":[0.009224485,0.0042970255,0.9552805,0.0000546223,0.00028624706,0.0023017852,0.00010565761,0.0007147255,0.027734987],"genre_scores_gemma":[0.9868564,0.0003047956,0.010141527,0.000059747523,0.00019504673,0.0017953768,0.00047410288,0.00008389742,0.00008912827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881554,0.00015463302,0.0002664747,0.0001807331,0.00013687872,0.00044571562],"domain_scores_gemma":[0.9987376,0.00021683722,0.0000872085,0.00063128077,0.0001509994,0.00017607173],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001935663,0.0002768318,0.00028170022,0.00010178122,0.00031909792,0.000046007448,0.00047754464,0.00019743964,0.000029657122],"category_scores_gemma":[0.000033783843,0.0002957586,0.000091407914,0.00039039427,0.00017599804,0.00042735718,0.0001815926,0.00062884256,0.000030056888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000555781,0.00043575204,0.005633302,0.00023414425,0.0005889256,0.0000013454601,0.024024809,0.69888693,0.00055291405,0.0055209775,0.0014427777,0.26262254],"study_design_scores_gemma":[0.0004706404,0.0000180402,0.0039532734,0.000064467255,0.00006628425,0.000034461154,0.002130629,0.989783,0.00011615642,0.000021037207,0.0029475538,0.00039444305],"about_ca_topic_score_codex":0.000025764737,"about_ca_topic_score_gemma":0.000013248366,"teacher_disagreement_score":0.97763187,"about_ca_system_score_codex":0.0003321882,"about_ca_system_score_gemma":0.000035843364,"threshold_uncertainty_score":0.99994946},"labels":[],"label_agreement":null},{"id":"W2139306799","doi":"10.1023/a:1016025802932","title":"Mobile Location Estimation in CDMA Cellular Networks by Using Fuzzy Logic","year":2002,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Government of Canada","keywords":"Computer science; Estimator; Code division multiple access; Fuzzy logic; Base station; Division (mathematics); Path (computing); Path loss; SIGNAL (programming language); Algorithm; Mathematical optimization; Telecommunications; Statistics; Artificial intelligence; Computer network; Mathematics; Wireless","score_opus":0.02781952508323927,"score_gpt":0.24554071685666146,"score_spread":0.2177211917734222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139306799","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":[0.23147523,0.02587042,0.7332831,0.0004287304,0.00023173731,0.0007601306,0.000035782672,0.0015855716,0.006329273],"genre_scores_gemma":[0.99481535,0.001408473,0.0033397153,0.000047304024,0.000013485384,0.00014840893,0.0001384971,0.000029457597,0.000059298018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919695,0.000052545685,0.00027389784,0.0001346773,0.00012149397,0.00022041278],"domain_scores_gemma":[0.9992127,0.00005608551,0.000048043374,0.0005865724,0.000062691375,0.000033915727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010658886,0.00014584596,0.00014699435,0.00014253809,0.00019912225,0.000044056924,0.0004632774,0.00016805089,0.00006012445],"category_scores_gemma":[0.000018486062,0.0001675832,0.00003671663,0.0006354105,0.00013014428,0.00019212608,0.000077366,0.00030985492,0.000036501766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026266666,0.00017279062,0.0008480736,0.000058890928,0.000026829242,0.0000016404454,0.002130083,0.9459521,0.0040932135,0.0066133766,0.002053106,0.03804727],"study_design_scores_gemma":[0.00016894701,0.000014334288,0.00004640651,0.00003929754,0.000009521094,0.0000029640582,0.00048821245,0.99706006,0.0007583657,0.00028874865,0.0009429669,0.00018016159],"about_ca_topic_score_codex":0.000049237995,"about_ca_topic_score_gemma":0.000037790825,"teacher_disagreement_score":0.7633401,"about_ca_system_score_codex":0.00019229142,"about_ca_system_score_gemma":0.000009240939,"threshold_uncertainty_score":0.6833845},"labels":[],"label_agreement":null},{"id":"W2145187895","doi":"10.1007/s11277-014-1877-x","title":"On the Throughput Capacity of Cooperative Multi-hop Wireless Ad hoc Networks with Multi-flow","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Cooperative diversity; Wireless network; Hop (telecommunications); Throughput; Wireless; Fading; Distributed computing; Channel (broadcasting); Telecommunications","score_opus":0.07909090618943124,"score_gpt":0.291085352163801,"score_spread":0.21199444597436976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145187895","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":[0.08022143,0.0015646657,0.9073547,0.008621024,0.00010345914,0.0006138363,0.000019642834,0.00018995143,0.0013112623],"genre_scores_gemma":[0.9292473,0.0027634075,0.06628048,0.0012726492,0.000024282848,0.00016655745,0.000027149385,0.000028128146,0.00019003707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969544,0.0014234906,0.00043516306,0.00044224964,0.00037411833,0.00037062113],"domain_scores_gemma":[0.9931205,0.0019994893,0.00031144335,0.0037329332,0.0007092302,0.00012643238],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00087606313,0.00033391037,0.00040323238,0.00009141407,0.001491765,0.00017463492,0.004463781,0.00011302564,0.000028045677],"category_scores_gemma":[0.00012621054,0.0002336143,0.00012913991,0.00091118907,0.00095906405,0.00034574352,0.0011205071,0.000920036,0.000025044745],"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":[0.000101762984,0.0020813416,0.0008018403,0.000031169486,0.00034914928,0.0000015632883,0.02995889,0.010326544,0.0022918435,0.74151194,0.0014702441,0.21107374],"study_design_scores_gemma":[0.0008532577,0.00018272824,0.0018988781,0.00019011737,0.00001656984,0.0000067225137,0.00054021185,0.9927094,0.00022240866,0.00005209998,0.0030073267,0.0003202909],"about_ca_topic_score_codex":0.00002519801,"about_ca_topic_score_gemma":0.0013588475,"teacher_disagreement_score":0.98238283,"about_ca_system_score_codex":0.00009567113,"about_ca_system_score_gemma":0.00012467949,"threshold_uncertainty_score":0.99980813},"labels":[],"label_agreement":null},{"id":"W2150795581","doi":"10.1023/a:1022314204243","title":"QoS-Based Admission and Load Control Algorithm for Integrated Voice/Data Services over Wideband CDMA","year":2003,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Quality of service; Radio resource management; Wireless network; Channel (broadcasting); Wireless; Transmission (telecommunications); Resource allocation; Service (business); Resource management (computing); Real-time computing; Telecommunications","score_opus":0.04655150114519679,"score_gpt":0.3279778469324651,"score_spread":0.28142634578726833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150795581","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":[0.0062795556,0.006937975,0.97499484,0.008985412,0.00014894122,0.0011388949,0.00034068114,0.0003040011,0.00086969184],"genre_scores_gemma":[0.8273754,0.000806204,0.16982137,0.0009819506,0.000041947664,0.0002799859,0.00041250561,0.000038645896,0.00024200496],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970787,0.00079708087,0.00044323402,0.0006391965,0.00056289154,0.00047887824],"domain_scores_gemma":[0.99129313,0.0019889758,0.00021837915,0.005515191,0.00068119855,0.0003031019],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0014194424,0.00028669785,0.00034672196,0.00015765571,0.0010889071,0.00046174283,0.0065489123,0.00017165081,0.000028824981],"category_scores_gemma":[0.00016261575,0.00027002615,0.000085259235,0.00069170835,0.000347368,0.00084887247,0.0012783437,0.0005751374,0.000018241213],"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":[0.00019985823,0.0022250307,0.0048804637,0.00035354236,0.000554419,0.000008502896,0.004925433,0.0003146693,0.005774393,0.06949392,0.013431252,0.89783853],"study_design_scores_gemma":[0.0017038961,0.00006028852,0.00055728666,0.00012125892,0.000022231881,0.000008633204,0.00018930448,0.886752,0.00016926012,0.00030848768,0.109825954,0.0002813894],"about_ca_topic_score_codex":0.00028346156,"about_ca_topic_score_gemma":0.0005073151,"teacher_disagreement_score":0.89755714,"about_ca_system_score_codex":0.00015958614,"about_ca_system_score_gemma":0.0007730308,"threshold_uncertainty_score":0.9999752},"labels":[],"label_agreement":null},{"id":"W2152259660","doi":"10.1007/s11277-014-2081-8","title":"A Joint Game-Theoretic Interference Coordination Approach in Uplink Multi-Cell OFDMA Networks","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Telecommunications link; Scheduling (production processes); Orthogonal frequency-division multiple access; Joint (building); Resource allocation; Interference (communication); Nash equilibrium; Mathematical optimization; Distributed computing; Orthogonal frequency-division multiplexing; Computer network; Channel (broadcasting)","score_opus":0.025407991869039644,"score_gpt":0.24046783255714949,"score_spread":0.21505984068810985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152259660","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":[0.017798772,0.0010154033,0.97699404,0.0001558832,0.00008914276,0.00033824318,0.00000554461,0.00025787047,0.0033450783],"genre_scores_gemma":[0.978245,0.00044529233,0.02064854,0.000028144541,0.000032763826,0.00030602384,0.00011891838,0.000052756448,0.00012256537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989299,0.00016425204,0.00037623965,0.00020218077,0.00008557949,0.00024180292],"domain_scores_gemma":[0.9988505,0.000139437,0.00008915554,0.00075535494,0.000099505334,0.00006603852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030226892,0.00018919529,0.00023992697,0.00016037106,0.000102827296,0.000042169344,0.0005468446,0.00013015507,0.000015371763],"category_scores_gemma":[0.000030371157,0.00021186224,0.000054948152,0.00036331685,0.00012664485,0.00018106938,0.00013990165,0.0004608412,0.000016692527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000699714,0.00025941266,0.0010266803,0.00015263564,0.000018383027,2.444583e-7,0.0033139272,0.9716311,0.0018872443,0.008369886,0.000060609753,0.013272869],"study_design_scores_gemma":[0.0005252711,0.000013607064,0.0005654704,0.00012014905,0.000010482693,0.000002854101,0.00039518412,0.9978934,0.000095509946,0.000062647705,0.00009729305,0.00021815074],"about_ca_topic_score_codex":0.000033168802,"about_ca_topic_score_gemma":0.00006440536,"teacher_disagreement_score":0.96044624,"about_ca_system_score_codex":0.00017224763,"about_ca_system_score_gemma":0.000014851772,"threshold_uncertainty_score":0.8639491},"labels":[],"label_agreement":null},{"id":"W2155272423","doi":"10.1023/a:1013991009389","title":"Soft QoS in Call Admission Control for Wireless Personal Communications","year":2002,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Quality of service; Call Admission Control; Handover; Computer network; Mobile QoS; Wireless; Provisioning; Resource (disambiguation); Resource allocation; Service (business); Wireless network; Service provider; Telecommunications","score_opus":0.07860013282954573,"score_gpt":0.32722865881388213,"score_spread":0.2486285259843364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155272423","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":[0.037277304,0.027055375,0.6276774,0.27844882,0.000997841,0.0076975566,0.0006196926,0.0019990348,0.018226964],"genre_scores_gemma":[0.9667703,0.0036650877,0.02502379,0.0011036941,0.00015828002,0.0017852534,0.00018173843,0.00008055655,0.0012312967],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946171,0.0014554978,0.0010777055,0.00084316835,0.0009046905,0.0011018557],"domain_scores_gemma":[0.9862332,0.004043865,0.00040382694,0.00804924,0.00076567574,0.0005041893],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001525502,0.000511405,0.00069361896,0.0005843711,0.001916131,0.00045744964,0.014511215,0.00035742656,0.00011069981],"category_scores_gemma":[0.00028505686,0.00055402867,0.0003733762,0.0016800066,0.0009697025,0.0010507735,0.0032285182,0.0016797441,0.0001817913],"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":[0.00025928707,0.008396689,0.012607331,0.00032987545,0.0005348906,0.000020714895,0.04020607,0.00052245404,0.00748809,0.37358776,0.062303264,0.49374357],"study_design_scores_gemma":[0.002222362,0.0001042841,0.0017654375,0.0001932985,0.000021938049,0.000028226084,0.00045658974,0.9393342,0.000043847816,0.0003947348,0.054843985,0.0005910639],"about_ca_topic_score_codex":0.0002790081,"about_ca_topic_score_gemma":0.0012178477,"teacher_disagreement_score":0.9388118,"about_ca_system_score_codex":0.00052521325,"about_ca_system_score_gemma":0.0003416197,"threshold_uncertainty_score":0.9996911},"labels":[],"label_agreement":null},{"id":"W2157799283","doi":"10.1023/a:1008818509431","title":"Capacity Analysis for Connection Admission Control in Indoor Multimedia CDMA Wireless Communications","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Victoria Park","funders":"Government of Ontario","keywords":"Computer science; Code division multiple access; Base station; Computer network; Transmission (telecommunications); Channel (broadcasting); Bit error rate; Power control; Wireless; Interference (communication); Real-time computing; Telecommunications; Power (physics)","score_opus":0.06377920361723287,"score_gpt":0.32518754367068187,"score_spread":0.261408340053449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157799283","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":[0.37312356,0.0033431302,0.5388556,0.07084173,0.00022456072,0.0048389663,0.00048553906,0.0011912363,0.0070956894],"genre_scores_gemma":[0.95321435,0.0022067274,0.041637138,0.0005485521,0.000047826634,0.0015211389,0.0004135318,0.00004277232,0.00036794844],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950537,0.0017295477,0.0010215823,0.00075199845,0.00065815006,0.000784984],"domain_scores_gemma":[0.9868379,0.0036043227,0.00032649247,0.008223878,0.0006285944,0.00037876915],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0018114758,0.0004021719,0.00074255007,0.0008988734,0.0015209412,0.00034972056,0.010118447,0.00031952458,0.00017166123],"category_scores_gemma":[0.00017389741,0.00043730473,0.00044710902,0.004008549,0.00075620774,0.00096704194,0.0011444197,0.0012207498,0.00009348953],"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":[0.00047691725,0.005424467,0.07895513,0.00012820016,0.0019698173,0.0000054089696,0.017739179,0.003935722,0.0054782224,0.11878945,0.0020600331,0.7650375],"study_design_scores_gemma":[0.0019280078,0.000066785775,0.024450373,0.000071568385,0.00009936192,0.0000072303073,0.00024351709,0.9604083,0.000090711714,0.0005646284,0.011612931,0.00045661078],"about_ca_topic_score_codex":0.0010459824,"about_ca_topic_score_gemma":0.0049738646,"teacher_disagreement_score":0.9564726,"about_ca_system_score_codex":0.00044310003,"about_ca_system_score_gemma":0.0003401359,"threshold_uncertainty_score":0.9998079},"labels":[],"label_agreement":null},{"id":"W2168171410","doi":"10.1007/s11277-008-9487-0","title":"Performance Bound for LDPC Coded Unitary Space–Time Modulation","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Low-density parity-check code; Decoding methods; Computer science; Algorithm; Upper and lower bounds; Unitary state; Error detection and correction; Mathematics","score_opus":0.03681105823157187,"score_gpt":0.26266984524544534,"score_spread":0.22585878701387346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168171410","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":[0.9369804,0.0013376697,0.048355397,0.0011805837,0.00008300308,0.00095943065,0.0001469457,0.0022370878,0.008719484],"genre_scores_gemma":[0.9531089,0.0035494969,0.041561805,0.00006783568,0.0000435406,0.00050915167,0.0005398448,0.00008776916,0.0005316319],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988594,0.000072929026,0.00036539015,0.0001907825,0.00020243775,0.00030908236],"domain_scores_gemma":[0.9974787,0.0003408724,0.000087849134,0.001764144,0.00023206716,0.00009633202],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017188872,0.00024487224,0.000266467,0.00017175476,0.00094717776,0.000025529049,0.0011595858,0.0001354149,0.000033546035],"category_scores_gemma":[0.000028156514,0.0002920209,0.00010956902,0.00036145156,0.0003649822,0.00048440613,0.00019367333,0.00037326885,0.00006750322],"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":[0.00046951813,0.002201869,0.020265678,0.0014396554,0.0013268684,0.000009747427,0.03308385,0.12226993,0.46142092,0.072262496,0.054619834,0.23062961],"study_design_scores_gemma":[0.00037769022,0.000043882705,0.0041550947,0.00006127142,0.000017061471,0.000024093402,0.000113547,0.9767676,0.0036141532,0.0003685253,0.014070399,0.00038667273],"about_ca_topic_score_codex":0.000018272713,"about_ca_topic_score_gemma":0.000024321094,"teacher_disagreement_score":0.8544977,"about_ca_system_score_codex":0.00020836727,"about_ca_system_score_gemma":0.000059595553,"threshold_uncertainty_score":0.9999532},"labels":[],"label_agreement":null},{"id":"W2316280385","doi":"10.1007/s11277-016-3282-0","title":"Efficient Approximated Q-Function Form for Error Probability over Rayleigh Fading Channels","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","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":"Queen's University","funders":"","keywords":"Fading; Computer science; Rayleigh fading; Additive white Gaussian noise; Algorithm; Channel (broadcasting); Metric (unit); Bit error rate; Gaussian; Word error rate; Range (aeronautics); Function (biology); Applied mathematics; Statistics; Mathematics; Telecommunications; Speech recognition","score_opus":0.043713013771680076,"score_gpt":0.2861244308396967,"score_spread":0.2424114170680166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316280385","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":[0.3150002,0.00059104315,0.6766976,0.0014594867,0.00021197317,0.0017223082,0.00018709643,0.0024743301,0.0016559658],"genre_scores_gemma":[0.9756944,0.00021499906,0.021875216,0.000049584727,0.000044584376,0.0018230698,0.00009364109,0.000083112725,0.000121393896],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985748,0.00008170561,0.0004540458,0.00028262098,0.00020872738,0.00039810687],"domain_scores_gemma":[0.9970868,0.0005673412,0.000121354526,0.0018808049,0.00023698514,0.00010666343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037050483,0.00027283217,0.00028331994,0.00015654501,0.00049164,0.000040933734,0.0010698341,0.00015732522,0.000048204707],"category_scores_gemma":[0.00008080512,0.00023169798,0.00016078539,0.00032703785,0.00027025223,0.00021567517,0.00026994047,0.0002457717,0.0000220868],"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":[0.000419277,0.0016210985,0.0017823217,0.0010031738,0.0006312977,7.8189873e-7,0.007904513,0.020485148,0.3746252,0.33014685,0.003932854,0.25744748],"study_design_scores_gemma":[0.0014080869,0.00011072835,0.0011917071,0.00035474298,0.000060896753,0.000006407567,0.00028002437,0.95114785,0.0126649225,0.011981796,0.019970749,0.0008220805],"about_ca_topic_score_codex":0.0000091641805,"about_ca_topic_score_gemma":0.000029607656,"teacher_disagreement_score":0.9306627,"about_ca_system_score_codex":0.00043720158,"about_ca_system_score_gemma":0.00003624106,"threshold_uncertainty_score":0.9448369},"labels":[],"label_agreement":null},{"id":"W2340204220","doi":"10.1007/s11277-016-3311-z","title":"Cooperative Prediction for Cognitive Radio Networks","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":21,"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 Manitoba","funders":"","keywords":"Computer science; Cognitive radio; Fusion; Channel (broadcasting); Process (computing); Artificial intelligence; Machine learning; Binary number; Data mining; Wireless; Telecommunications","score_opus":0.030950892173101444,"score_gpt":0.27282421924369504,"score_spread":0.2418733270705936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340204220","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":[0.0072898394,0.00066580874,0.9832494,0.0058781644,0.00018300005,0.00043263708,0.000081851205,0.00019685773,0.002022391],"genre_scores_gemma":[0.992508,0.00066620554,0.0057425518,0.0003151546,0.0002011992,0.0001340688,0.00004305208,0.000017611374,0.00037216756],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987738,0.00018153813,0.00022826708,0.00034674275,0.00015164094,0.00031798895],"domain_scores_gemma":[0.99717575,0.0015684164,0.000099857374,0.0006415189,0.00040828137,0.00010619987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028020193,0.0001611654,0.00018608828,0.00007674254,0.0007605862,0.000122239,0.00079276174,0.00007918104,0.000012968851],"category_scores_gemma":[0.000080415695,0.00012478752,0.000115165516,0.0003188322,0.0002639204,0.0004648359,0.00026088976,0.00016576664,0.000013408505],"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":[0.00009862226,0.0002980977,0.0013503757,0.000009000586,0.0002636443,0.000003930463,0.0030577432,0.0000637896,0.0020832291,0.32195145,0.0039106873,0.66690946],"study_design_scores_gemma":[0.0015640937,0.00021517128,0.004557168,0.00029086453,0.00004187071,0.000043452677,0.00027408364,0.98468894,0.000336143,0.001201734,0.0064373296,0.00034917486],"about_ca_topic_score_codex":0.000010862203,"about_ca_topic_score_gemma":0.000082117665,"teacher_disagreement_score":0.98521817,"about_ca_system_score_codex":0.000108118,"about_ca_system_score_gemma":0.00009390774,"threshold_uncertainty_score":0.5849891},"labels":[],"label_agreement":null},{"id":"W2343995454","doi":"10.1007/s11277-016-3305-x","title":"QoS-Aware and Load-Balance Routing for IEEE 802.11s Based Neighborhood Area Network in Smart Grid","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Quality of service; IEEE 802; Grid; Smart grid; Load balancing (electrical power); Routing (electronic design automation); Electrical engineering","score_opus":0.04155431879289023,"score_gpt":0.28097664152404717,"score_spread":0.23942232273115693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343995454","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":[0.013833687,0.0010431256,0.95403826,0.023115,0.00066354417,0.0054681734,0.00010941558,0.00035065794,0.0013781117],"genre_scores_gemma":[0.9842887,0.00013751723,0.011238146,0.00068426045,0.00026760035,0.0032408384,0.000017067716,0.000025375886,0.000100485435],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980981,0.00022219971,0.000394017,0.00047122053,0.00025659823,0.0005578972],"domain_scores_gemma":[0.9965505,0.0014546235,0.00019478903,0.001470334,0.00018712302,0.00014264123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075137406,0.00023990899,0.00031886058,0.00006433223,0.0005523851,0.00017010236,0.0018440747,0.00012950503,0.000008797698],"category_scores_gemma":[0.000043827073,0.00019728558,0.000101803125,0.00045270918,0.00018092636,0.00040806088,0.0004131522,0.00026471406,0.0000080028485],"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":[0.0004317983,0.0013088209,0.27665114,0.00034840681,0.0002175238,0.000023774594,0.006413626,0.0026911318,0.0026351374,0.25912574,0.03597385,0.41417906],"study_design_scores_gemma":[0.0019299653,0.000117910124,0.01100115,0.0008314639,0.000010507168,0.000008641524,0.000064904634,0.9672495,0.00008923561,0.0018974128,0.016308444,0.0004908559],"about_ca_topic_score_codex":0.000071538416,"about_ca_topic_score_gemma":0.0005382259,"teacher_disagreement_score":0.97045505,"about_ca_system_score_codex":0.0001470064,"about_ca_system_score_gemma":0.00027112523,"threshold_uncertainty_score":0.80450726},"labels":[],"label_agreement":null},{"id":"W2397101498","doi":"10.1007/s11277-016-3364-z","title":"Subspace-Based Algorithms for Blind ML Frequency and Transition Time Estimation in Frequency Hopping Systems","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"Subspace topology; Algorithm; Frequency-hopping spread spectrum; Computer science; Block (permutation group theory); Interference (communication); Selection (genetic algorithm); Computational complexity theory; Spread spectrum; Greedy algorithm; Mathematics; Telecommunications; Artificial intelligence; Code division multiple access","score_opus":0.03989332021212386,"score_gpt":0.2810300816805859,"score_spread":0.24113676146846205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397101498","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":[0.090737216,0.0009127295,0.9055326,0.0010858555,0.000042307045,0.00066593336,0.00021636678,0.000528646,0.00027832377],"genre_scores_gemma":[0.8520736,0.00017487345,0.14710084,0.000013166396,0.000018662568,0.0004802029,0.00008542777,0.000039198494,0.0000140088005],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991949,0.000061562816,0.00025852985,0.00017584862,0.00010407578,0.00020505713],"domain_scores_gemma":[0.9990332,0.00031643594,0.00005348778,0.00045848117,0.00008496684,0.00005340192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020677567,0.00016366778,0.00018951479,0.00018298657,0.00013599638,0.00003313149,0.00026667432,0.00010068498,0.000006094792],"category_scores_gemma":[0.000032512486,0.00015586642,0.000041773175,0.00016562254,0.00012420127,0.00033454897,0.000023625815,0.00013857168,0.000006345139],"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":[0.00007807287,0.00025901652,0.00077660184,0.0007471927,0.00013639186,0.0000060507527,0.004104287,0.009024018,0.873427,0.044817507,0.00017834411,0.06644553],"study_design_scores_gemma":[0.0009343395,0.0000602941,0.0007877835,0.0007481306,0.00001720482,0.000007404041,0.00009495761,0.9920576,0.0015538036,0.0032935417,0.00012239037,0.0003225322],"about_ca_topic_score_codex":0.000062040875,"about_ca_topic_score_gemma":0.000060649567,"teacher_disagreement_score":0.9830336,"about_ca_system_score_codex":0.0002403512,"about_ca_system_score_gemma":0.000030516834,"threshold_uncertainty_score":0.63560486},"labels":[],"label_agreement":null},{"id":"W2464414809","doi":"10.1007/s11277-016-3489-0","title":"Local Tuning of a Site-Specific Propagation Path Loss Model for Microcell Environments","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":15,"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 Regina","funders":"","keywords":"Microcell; Computer science; Reduction (mathematics); Path (computing); Path loss; Mean squared error; Process (computing); Algorithm; Statistics; Telecommunications; Mathematics","score_opus":0.0414944022174202,"score_gpt":0.23746572655827616,"score_spread":0.19597132434085596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464414809","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":[0.13723962,0.00045380782,0.86138034,0.00018744422,0.000021256577,0.00023385839,0.0001184126,0.000059587815,0.00030567756],"genre_scores_gemma":[0.98288316,0.0010367899,0.01551479,0.000024981025,0.000014597934,0.00010827563,0.00008647592,0.000038712245,0.0002922006],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920684,0.00002981058,0.0003019377,0.00014874268,0.00013602152,0.00017665316],"domain_scores_gemma":[0.9992043,0.00010467383,0.0000685489,0.00050948863,0.00005347878,0.000059502792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015661526,0.000131324,0.00014865861,0.00007323578,0.00014135081,0.000011987741,0.00031283527,0.0000696891,0.000021387827],"category_scores_gemma":[0.000006669276,0.00011482454,0.000082783416,0.000064169326,0.00014562631,0.00009356178,0.0000781661,0.00009945878,0.000033333436],"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":[0.00001945818,0.00007536946,0.00006712058,0.00006465759,0.000026746377,1.38213e-7,0.002025452,0.0104941055,0.9632738,0.0009369498,0.00015060251,0.022865552],"study_design_scores_gemma":[0.00043841326,0.000016884891,0.000021237873,0.000094605886,0.00001393415,0.0000017875127,0.00013069325,0.94917446,0.048026286,0.00019315394,0.0017356764,0.00015285738],"about_ca_topic_score_codex":0.0000033674257,"about_ca_topic_score_gemma":0.000011564213,"teacher_disagreement_score":0.93868035,"about_ca_system_score_codex":0.000110646775,"about_ca_system_score_gemma":0.00002149124,"threshold_uncertainty_score":0.4682409},"labels":[],"label_agreement":null},{"id":"W2512165098","doi":"10.1007/s11277-016-3580-6","title":"Performance of Energy-Efficient Cooperative MAC Protocol with Power Backoff in MANETs","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Network packet; Transmission (telecommunications); Power control; Efficient energy use; Energy consumption; Distributed coordination function; Wireless ad hoc network; Protocol (science); Mobile ad hoc network; Network allocation vector; Transmitter power output; Exponential backoff; IEEE 802.11; Power (physics); Wireless; Wireless network; Throughput; Channel (broadcasting); Telecommunications","score_opus":0.03021873065278675,"score_gpt":0.28140279322364925,"score_spread":0.2511840625708625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512165098","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":[0.75604516,0.0006020383,0.13261062,0.021859376,0.00012583075,0.028907022,0.00005392418,0.00044150028,0.059354525],"genre_scores_gemma":[0.98462427,0.0002205679,0.0043822653,0.00014537992,0.0000061728233,0.010246112,0.000004328265,0.000012989932,0.00035790764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984763,0.00035228106,0.0003636427,0.00028314485,0.00027374315,0.00025083794],"domain_scores_gemma":[0.99723464,0.00030199482,0.00016978158,0.0018593767,0.000357532,0.000076669545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032425098,0.00017906178,0.00022551464,0.00016360593,0.00028009678,0.000042832384,0.0023431226,0.000052017316,0.00007377],"category_scores_gemma":[0.000016917007,0.00012086084,0.000043359414,0.00076433184,0.00036615235,0.0002995006,0.0008648662,0.00018645813,0.000018636361],"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":[0.00037802398,0.0024998619,0.029043207,0.00007369141,0.00013148776,0.00000777397,0.011928571,0.0009950692,0.02464993,0.7055959,0.0008319423,0.22386453],"study_design_scores_gemma":[0.004975763,0.0010492991,0.05094109,0.001747673,0.000012426615,0.00004885722,0.00040222218,0.89090294,0.009260962,0.000090648544,0.03945884,0.0011092905],"about_ca_topic_score_codex":0.000013150808,"about_ca_topic_score_gemma":0.00023484041,"teacher_disagreement_score":0.88990784,"about_ca_system_score_codex":0.00011130645,"about_ca_system_score_gemma":0.00020426331,"threshold_uncertainty_score":0.49285617},"labels":[],"label_agreement":null},{"id":"W2520554724","doi":"10.1007/s11277-016-3540-1","title":"Performance of Dynamic Access Class Barring Method in Cellular M2M Networks","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Aloha; Random access; Base station; Computer network; Cellular network; Throughput; Frame (networking); Transmission (telecommunications); Network congestion; Telecommunications; Wireless","score_opus":0.02480922584448847,"score_gpt":0.2998388715933759,"score_spread":0.27502964574888744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520554724","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":[0.87734425,0.0017026498,0.1086092,0.00063515565,0.00020247282,0.0023570952,0.00002897518,0.0002577705,0.008862423],"genre_scores_gemma":[0.99534774,0.00092767226,0.0027971258,0.000019714664,0.000031757027,0.0007673149,0.0000115774255,0.000033158525,0.000063964144],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908775,0.000112517606,0.0003066021,0.00012516942,0.000111399626,0.00025654794],"domain_scores_gemma":[0.9987857,0.00030165506,0.000058381556,0.000756381,0.0000459592,0.000051938725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036239787,0.00013739661,0.00021489593,0.00009916389,0.000097462354,0.00002237845,0.0010029036,0.000106675354,0.000047670554],"category_scores_gemma":[0.000006622713,0.000116863266,0.00006231473,0.00031057966,0.000090102825,0.00023807496,0.00023267533,0.00028285175,0.000007124137],"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":[0.000115475756,0.00022750585,0.053187866,0.00056469854,0.00020528163,0.0000046991645,0.0021111583,0.17192696,0.052541137,0.0048917127,0.00054984924,0.71367365],"study_design_scores_gemma":[0.00030727143,0.000016927828,0.008401442,0.0003391275,0.000007613279,0.0000018484668,0.000033159173,0.9885244,0.0007990645,0.000044584103,0.0013572793,0.00016729221],"about_ca_topic_score_codex":0.000028586232,"about_ca_topic_score_gemma":0.00015630333,"teacher_disagreement_score":0.8165974,"about_ca_system_score_codex":0.00010040759,"about_ca_system_score_gemma":0.00002384835,"threshold_uncertainty_score":0.47655457},"labels":[],"label_agreement":null},{"id":"W2538968690","doi":"10.1007/s11277-016-3845-0","title":"Software-Defined Fog Network Architecture for IoT","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":170,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); University of Toronto","funders":"","keywords":"Computer science; Software-defined networking; Scalability; Architecture; Network architecture; Forwarding plane; The Internet; Software; Computer network; Distributed computing; World Wide Web; Operating system","score_opus":0.03422083987120316,"score_gpt":0.27025165938623463,"score_spread":0.23603081951503146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538968690","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":[0.0057912157,0.0005292959,0.9667295,0.02406918,0.0013817346,0.00026220796,0.0000044818757,0.000408192,0.0008241817],"genre_scores_gemma":[0.39869308,0.00005930711,0.59726703,0.0011209347,0.0017523769,0.00016065138,0.00001964503,0.000038509104,0.0008884773],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99866694,0.00011845289,0.00024444898,0.00032306064,0.00018192493,0.00046519577],"domain_scores_gemma":[0.99649894,0.001512875,0.000116619885,0.0016085787,0.00015301266,0.000109973764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036597444,0.0001717959,0.00019373007,0.000071334885,0.00087122514,0.00010628814,0.0027178256,0.00008388116,0.0000034804561],"category_scores_gemma":[0.000109349494,0.00013022333,0.00015772524,0.0003289846,0.00015513242,0.0001240535,0.0009377715,0.00018898377,0.000049977967],"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":[0.000024178105,0.00014072786,0.0017760302,0.00002898181,0.00007967754,0.0000013602473,0.0025313443,0.000050169176,0.0011588435,0.108703606,0.047509458,0.83799565],"study_design_scores_gemma":[0.0018889017,0.00024119586,0.005829654,0.0004508387,0.00004247746,0.00006019819,0.000043494932,0.09755241,0.00030410936,0.09301495,0.7994519,0.0011198885],"about_ca_topic_score_codex":0.000018489121,"about_ca_topic_score_gemma":0.000033096596,"teacher_disagreement_score":0.83687574,"about_ca_system_score_codex":0.00006355104,"about_ca_system_score_gemma":0.00016029802,"threshold_uncertainty_score":0.6700848},"labels":[],"label_agreement":null},{"id":"W2540782448","doi":"10.1007/s11277-016-3835-2","title":"CQ Ethernet Switch Implementation on the NetFPGA Platform","year":2016,"lang":"en","type":"article","venue":"Wireless Personal 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":"Telus (Canada)","funders":"","keywords":"Crossbar switch; Computer science; Ethernet; Computer network; Embedded system; Telecommunications","score_opus":0.06456675965383535,"score_gpt":0.30425722968210434,"score_spread":0.239690470028269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540782448","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":[0.42960086,0.001180889,0.3063596,0.24780256,0.00053801626,0.0010851992,0.000095141506,0.0009341967,0.012403566],"genre_scores_gemma":[0.99474454,0.00028113765,0.0026999146,0.0018226245,0.00006377587,0.00011572907,0.00001345893,0.000013255114,0.00024557768],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989328,0.00011518129,0.0002016242,0.00022057431,0.00027476207,0.000255072],"domain_scores_gemma":[0.9968788,0.0011993214,0.00010980837,0.0016673255,0.0000807416,0.00006400791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037721524,0.00013145458,0.00010313307,0.00004830332,0.00057753414,0.00011806486,0.0022948543,0.000052947253,0.0001264044],"category_scores_gemma":[0.000022995417,0.00007430226,0.00007586926,0.00029018286,0.00012316434,0.00027404513,0.00048305313,0.00019298866,0.00022154067],"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":[0.000006733747,0.00006634082,0.0018317149,0.0000016937176,0.00003527286,5.480775e-7,0.0016521929,0.0000038136218,0.0003564705,0.7462407,0.0077955998,0.24200895],"study_design_scores_gemma":[0.0054612886,0.0010830417,0.12200038,0.00068798364,0.00012310388,0.00009949052,0.005089527,0.15216923,0.0041821124,0.14887498,0.55751264,0.0027162186],"about_ca_topic_score_codex":0.00012673314,"about_ca_topic_score_gemma":0.00028860164,"teacher_disagreement_score":0.5973657,"about_ca_system_score_codex":0.00007870088,"about_ca_system_score_gemma":0.000072609044,"threshold_uncertainty_score":0.4441984},"labels":[],"label_agreement":null},{"id":"W2558006873","doi":"10.1007/s11277-016-3921-5","title":"Power Adaptation for Energy Efficient Bi-directional Relaying with Quality-of-Service Requirement and Individual Peak-Power Limit","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; SCSI; Relay; Quality of service; Transmitter power output; Computer network; Efficient energy use; Power (physics); Sleep mode; Limit (mathematics); Timeout; Energy (signal processing); Channel (broadcasting); Real-time computing; Electrical engineering; Mathematics; Computer hardware","score_opus":0.1236176969117916,"score_gpt":0.31706922295220413,"score_spread":0.19345152604041255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558006873","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":[0.12610534,0.0022652391,0.84104085,0.027241552,0.00012954057,0.00043279957,0.000060076673,0.00017790942,0.0025466892],"genre_scores_gemma":[0.966703,0.00055051607,0.031825513,0.0005790694,0.000013795855,0.00017272486,0.000026264766,0.000016055974,0.00011307284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998301,0.00035236753,0.000419285,0.00032871406,0.00037880387,0.00021981956],"domain_scores_gemma":[0.9964611,0.0012477746,0.00028827015,0.0012275915,0.0006799537,0.00009529613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076204503,0.00017178287,0.00021507227,0.00015198282,0.0007071353,0.000087078035,0.0013268886,0.00006236533,0.000021627457],"category_scores_gemma":[0.00007487895,0.00013215635,0.000064190055,0.0004991043,0.00021335922,0.00030915556,0.0007571931,0.00012271311,0.000002888936],"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":[0.00010643721,0.0004177336,0.0007931156,0.000023672079,0.00017140174,2.481802e-7,0.012623741,0.0001877873,0.013689758,0.9095171,0.00025512069,0.06221389],"study_design_scores_gemma":[0.01297723,0.0020399184,0.12760457,0.0025004223,0.00020747865,0.00008887199,0.009871335,0.723306,0.0055634105,0.004174433,0.10820781,0.0034585262],"about_ca_topic_score_codex":0.00003879292,"about_ca_topic_score_gemma":0.0004201599,"teacher_disagreement_score":0.90534264,"about_ca_system_score_codex":0.00008636169,"about_ca_system_score_gemma":0.00016561475,"threshold_uncertainty_score":0.54387844},"labels":[],"label_agreement":null},{"id":"W2609203195","doi":"10.1007/s11277-017-4168-5","title":"Resource Allocation Schemes in D2D Communications: Overview, Classification, and Challenges","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Underlay; Resource allocation; Wireless; Communications system; Computer network; Cellular communication; Spectral efficiency; Interference (communication); Reuse; Frequency allocation; Telecommunications; Cellular network; Distributed computing; Channel (broadcasting); Signal-to-noise ratio (imaging)","score_opus":0.1315080911339213,"score_gpt":0.3193995406447037,"score_spread":0.1878914495107824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609203195","genre_codex":"review","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":[0.07809217,0.6420692,0.04480926,0.113405704,0.00046049934,0.004007439,0.0002404777,0.0023825204,0.11453269],"genre_scores_gemma":[0.8645982,0.1256218,0.009220904,0.00003455018,0.000026651016,0.0002638185,0.00011926987,0.00004194294,0.00007286865],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989023,0.00014521327,0.00038745563,0.00022814113,0.00013390284,0.00020298954],"domain_scores_gemma":[0.9955147,0.00026585697,0.00018066303,0.0038117636,0.00015296863,0.000074045325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003733941,0.0001871791,0.00022629662,0.00014594042,0.0007878339,0.00013071872,0.0017011566,0.00013241534,0.0000051039297],"category_scores_gemma":[0.00012222913,0.00022371487,0.000032123313,0.0001434394,0.0004263757,0.0006058867,0.00045877614,0.00033221368,0.000019219702],"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":[0.00004376217,0.0007159229,0.02146436,0.0019889919,0.00028778863,0.0000027319747,0.027719812,0.00230631,0.0073574986,0.44400954,0.0010194066,0.49308386],"study_design_scores_gemma":[0.0008471519,0.00001934525,0.03483281,0.00059613766,0.00003110175,0.000015493515,0.0047279885,0.8334941,0.00010807558,0.00088371086,0.12386011,0.00058395707],"about_ca_topic_score_codex":0.00005660118,"about_ca_topic_score_gemma":0.0013502496,"teacher_disagreement_score":0.8311878,"about_ca_system_score_codex":0.00014788027,"about_ca_system_score_gemma":0.000040752562,"threshold_uncertainty_score":0.9122828},"labels":[],"label_agreement":null},{"id":"W2619062742","doi":"10.1007/s11277-017-4356-3","title":"Characterising an In-Room MIMO System Employing Elevation-Directional Access Point Antennas","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Antenna Design and Analysis","field":"Engineering","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 New Brunswick","funders":"","keywords":"Computer science; MIMO; Elevation (ballistics); Point (geometry); Telecommunications; Real-time computing; Computer network; Beamforming","score_opus":0.06330180071177784,"score_gpt":0.3100679531035779,"score_spread":0.24676615239180005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619062742","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":[0.9796668,0.000420212,0.015099149,0.0010428997,0.00020967798,0.00019279326,0.00005014512,0.00047688675,0.0028414228],"genre_scores_gemma":[0.99845356,0.0002742291,0.0008342136,0.000046612455,0.000104023165,0.00006435432,0.00010849148,0.000042807245,0.00007170491],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988656,0.00009396283,0.0003543922,0.0002182613,0.00020125143,0.0002665039],"domain_scores_gemma":[0.9981733,0.000083590276,0.00013880005,0.0013746348,0.00012804613,0.00010163107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032398902,0.00018906558,0.00027327007,0.00022865128,0.001139543,0.00051623414,0.0015084716,0.00009110287,0.0000366826],"category_scores_gemma":[0.00003206225,0.0002074462,0.00010807812,0.00019474747,0.0001143654,0.0012095092,0.00021040314,0.00035803675,0.000030875843],"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":[0.000088387256,0.0007863248,0.5069528,0.0006823993,0.0008179796,0.00006296487,0.011864552,0.0006534071,0.43352133,0.019151483,0.0002574922,0.025160857],"study_design_scores_gemma":[0.00025005953,0.000009301602,0.2520956,0.00029958185,0.000033191394,0.0000200978,0.0014515374,0.7451405,0.00016319148,0.000052366853,0.00018288985,0.00030172305],"about_ca_topic_score_codex":0.00061468914,"about_ca_topic_score_gemma":0.0008796016,"teacher_disagreement_score":0.74448705,"about_ca_system_score_codex":0.00020078055,"about_ca_system_score_gemma":0.000038512586,"threshold_uncertainty_score":0.8764559},"labels":[],"label_agreement":null},{"id":"W2620481495","doi":"10.1007/s11277-017-4360-7","title":"Compressed Spectrum Sensing for Wavelet Based Cognitive Heterogeneous Network over Multipath Fading","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Multipath propagation; Cognitive radio; Wideband; Compressed sensing; Fading; False alarm; Robustness (evolution); Wavelet; Electronic engineering; Telecommunications; Real-time computing; Algorithm; Channel (broadcasting); Wireless; Artificial intelligence","score_opus":0.048851077018760916,"score_gpt":0.30458572080266166,"score_spread":0.25573464378390076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620481495","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":[0.08244585,0.0004931571,0.90907246,0.004448304,0.00038399288,0.00074341655,0.000077635545,0.00024692624,0.0020882622],"genre_scores_gemma":[0.94843733,0.00006525524,0.05029914,0.0006926506,0.00032218554,0.000024614563,0.000067640634,0.000040164443,0.000051039817],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979587,0.00020945961,0.0003281678,0.00055812584,0.0002744544,0.0006710978],"domain_scores_gemma":[0.99573994,0.0014187574,0.0003838588,0.0020577786,0.00023046265,0.00016918483],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00041703542,0.00030211543,0.000385051,0.000087294255,0.0041280077,0.0008895149,0.001906749,0.00011049399,0.000010622834],"category_scores_gemma":[0.000114904346,0.00032923857,0.00026417206,0.00015603972,0.0003815239,0.00040872616,0.00076016824,0.0003905477,0.000011054231],"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":[0.0005729436,0.0011922132,0.0057720607,0.0001895487,0.0012249498,0.00023604758,0.009243668,0.0047038435,0.0051870015,0.08684217,0.0027473501,0.8820882],"study_design_scores_gemma":[0.0012063638,0.000065936685,0.0053501925,0.00029068068,0.000044287208,0.000034007408,0.000058100966,0.989631,0.0005170677,0.0010896513,0.0012933434,0.00041937153],"about_ca_topic_score_codex":0.00017330669,"about_ca_topic_score_gemma":0.00076397584,"teacher_disagreement_score":0.9849272,"about_ca_system_score_codex":0.00011425465,"about_ca_system_score_gemma":0.0001258294,"threshold_uncertainty_score":0.99991596},"labels":[],"label_agreement":null},{"id":"W2740073444","doi":"10.1007/s11277-017-4727-9","title":"Adaptive Transmission Rate Congestion Aware Routing Algorithm in Wireless Mesh Network","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Computer network; Network congestion; Wireless mesh network; Transmission (telecommunications); Algorithm; Routing algorithm; Wireless; Routing (electronic design automation); Transmission rate; Wireless network; Distributed computing; Routing protocol; Telecommunications","score_opus":0.03920284064492906,"score_gpt":0.28918135147104834,"score_spread":0.24997851082611927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740073444","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":[0.016301453,0.0005725107,0.97131354,0.0070087533,0.0003672994,0.00069025264,0.000017278066,0.00029536922,0.0034335635],"genre_scores_gemma":[0.96470064,0.0007038706,0.03387885,0.0001836087,0.0001411503,0.00016225889,0.00003751586,0.000028340406,0.00016374141],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975375,0.0005954803,0.0004457752,0.0005410346,0.0003154618,0.00056476984],"domain_scores_gemma":[0.99565303,0.00050291355,0.00039589638,0.0030867285,0.00018408945,0.00017736232],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0010848634,0.00027537823,0.00035826946,0.000081031874,0.0020609202,0.00046130523,0.0047910064,0.00019279361,0.00001535822],"category_scores_gemma":[0.000026400383,0.0002924078,0.00012282723,0.00033181583,0.00034621896,0.0010218222,0.0011972465,0.00084225205,0.00002947388],"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":[0.000023764318,0.0002051752,0.0023146765,0.000012045908,0.00004693755,0.000024011311,0.0029033711,0.0008707572,0.00016255153,0.13208905,0.00045775308,0.8608899],"study_design_scores_gemma":[0.0005530079,0.00004525886,0.021081597,0.00035677216,0.000012153463,0.000012211606,0.00018024427,0.97518164,0.000040441115,0.0014112784,0.00079494773,0.00033045743],"about_ca_topic_score_codex":0.00048605847,"about_ca_topic_score_gemma":0.00068529544,"teacher_disagreement_score":0.9743109,"about_ca_system_score_codex":0.00017647595,"about_ca_system_score_gemma":0.00019839613,"threshold_uncertainty_score":0.9999528},"labels":[],"label_agreement":null},{"id":"W2741209694","doi":"10.1007/s11277-017-4709-y","title":"Performance Evaluation of Cognitive Radio VoIP Users in Fading Environment","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","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":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Cognitive radio; Quality of service; Voice over IP; Computer network; Queue; Channel (broadcasting); Resource allocation; Provisioning; Channel allocation schemes; Network packet; Algorithm; Telecommunications; Wireless","score_opus":0.06659859222267082,"score_gpt":0.3072103412830028,"score_spread":0.24061174906033195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741209694","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":[0.98563445,0.000414865,0.0060161455,0.0010538152,0.00005722754,0.00025910145,0.0000053160697,0.000018767409,0.006540324],"genre_scores_gemma":[0.99736154,0.000694636,0.0018247935,0.000027712875,0.000022666827,0.000028993241,0.000011257693,0.000008023642,0.000020359661],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986924,0.00022832157,0.0002315872,0.00023266915,0.00041615567,0.00019889082],"domain_scores_gemma":[0.99811804,0.00028460752,0.00024552085,0.001172088,0.00013190322,0.000047826637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010067051,0.00011202314,0.00017263227,0.000108009815,0.0006785061,0.00010313557,0.0012916359,0.000046276247,0.000012704703],"category_scores_gemma":[0.00009282631,0.00012273584,0.000059014586,0.00010570558,0.0003028117,0.00055133726,0.00047962123,0.00023066366,0.0000106034195],"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":[0.000027253083,0.0003612081,0.090376824,0.000016911063,0.0000874248,0.0000033380857,0.015046965,0.0008987774,0.0013750928,0.009871051,0.000021678698,0.8819135],"study_design_scores_gemma":[0.0005170968,0.000025711717,0.2680368,0.00019126905,0.000020091904,0.0000051574707,0.00029173418,0.730396,0.00024549302,0.0001267882,0.0000324066,0.0001114749],"about_ca_topic_score_codex":0.00012261927,"about_ca_topic_score_gemma":0.00020355287,"teacher_disagreement_score":0.881802,"about_ca_system_score_codex":0.00016954228,"about_ca_system_score_gemma":0.00010100056,"threshold_uncertainty_score":0.5218589},"labels":[],"label_agreement":null},{"id":"W2741259491","doi":"10.1007/s11277-017-4749-3","title":"A Hybrid MAC Protocol with Multi-slot Reservation for Dense Wireless Ad-Hoc Networks","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","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":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Throughput; Wireless ad hoc network; Access control; Multiple Access with Collision Avoidance for Wireless; Quality of service; Handshake; Reservation; Media access control; Channel (broadcasting); Wireless; Protocol (science); Carrier sense multiple access with collision avoidance; Wireless network; Vehicular ad hoc network; Telecommunications","score_opus":0.07081761842990714,"score_gpt":0.3360708156256036,"score_spread":0.26525319719569646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741259491","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":[0.011497551,0.0002320866,0.937511,0.006398236,0.00014102494,0.043053403,0.000037697766,0.00040368133,0.0007252825],"genre_scores_gemma":[0.7422276,0.000109482455,0.111514494,0.00037208607,0.00012116491,0.14487788,0.0000709106,0.00006538309,0.00064098864],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764675,0.00023469438,0.00044962828,0.0006560459,0.00041135386,0.0006015417],"domain_scores_gemma":[0.9921534,0.0004640756,0.0006260011,0.0059481054,0.00059863005,0.00020980147],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.00070928095,0.00033656092,0.000358264,0.00008890669,0.002969229,0.00088680093,0.0067682774,0.00013238861,0.000009470413],"category_scores_gemma":[0.000067849876,0.0003134127,0.00014623416,0.00019817574,0.0005191636,0.0011585315,0.0016040037,0.0005833422,0.000017997756],"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":[0.0014071082,0.002983892,0.0097197965,0.00041712468,0.00057953806,0.000056431716,0.0056657363,0.0031969391,0.0012552706,0.22896202,0.013647245,0.7321089],"study_design_scores_gemma":[0.002070583,0.00021315849,0.004969951,0.00020819067,0.000021668138,0.000029977457,0.000060222585,0.9595613,0.00011256746,0.00031592426,0.032011546,0.0004248996],"about_ca_topic_score_codex":0.000085572974,"about_ca_topic_score_gemma":0.0014012698,"teacher_disagreement_score":0.9563644,"about_ca_system_score_codex":0.00014977394,"about_ca_system_score_gemma":0.0002613993,"threshold_uncertainty_score":0.9999318},"labels":[],"label_agreement":null},{"id":"W2743010497","doi":"10.1007/s11277-017-4587-3","title":"On Erasure Coding in Intermittently Connected Networks","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Opportunistic and Delay-Tolerant Networks","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":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Linear network coding; Erasure code; Erasure; Coding (social sciences); Routing (electronic design automation); Geographic routing; Overhead (engineering); Path (computing); Routing protocol; Decoding methods; Distributed computing; Dynamic Source Routing; Network packet; Telecommunications","score_opus":0.052926430022632184,"score_gpt":0.3009416010826056,"score_spread":0.2480151710599734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743010497","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":[0.1260343,0.00056400045,0.7961545,0.01622076,0.00086614775,0.00048177585,0.000019447085,0.0003298152,0.059329253],"genre_scores_gemma":[0.9966156,0.00024118007,0.0020755723,0.0006787682,0.0000538105,0.000036768586,0.000023290628,0.000012944855,0.00026207636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873114,0.00015473596,0.0002790785,0.0003108403,0.00020770748,0.0003165106],"domain_scores_gemma":[0.9962354,0.00048170422,0.00021432657,0.0028522026,0.00009752132,0.00011887767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373989,0.00016635335,0.0002297824,0.00009400963,0.0010959237,0.0004431039,0.0039725457,0.000115608804,0.000018936335],"category_scores_gemma":[0.000028687404,0.00016707758,0.00008047356,0.00014179536,0.00025662204,0.00036660052,0.0009782753,0.00062382047,0.00003174362],"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":[0.000047944806,0.00046404733,0.010972222,0.000013214162,0.00006138394,0.00007755327,0.0024439786,0.00021450857,0.0000697514,0.68150157,0.0037043374,0.30042946],"study_design_scores_gemma":[0.00044354,0.000037917973,0.011482851,0.00016807266,0.00000523231,0.000013688944,0.00008324427,0.98543715,0.0000027313915,0.0013269075,0.0007975278,0.00020114661],"about_ca_topic_score_codex":0.00010874988,"about_ca_topic_score_gemma":0.0003066343,"teacher_disagreement_score":0.98522264,"about_ca_system_score_codex":0.00006696101,"about_ca_system_score_gemma":0.00008111554,"threshold_uncertainty_score":0.84290695},"labels":[],"label_agreement":null},{"id":"W2748742188","doi":"10.1007/s11277-017-4884-x","title":"Swarm Intelligence Based Resource Management for Cooperative Cognitive Radio Network in Smart Hospitals","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cognitive radio; Swarm intelligence; Swarm behaviour; Resource (disambiguation); Cognition; Cognitive network; Resource management (computing); Computer network; Telecommunications; Artificial intelligence; Machine learning; Wireless; Particle swarm optimization","score_opus":0.038012114645684436,"score_gpt":0.30208512051850583,"score_spread":0.2640730058728214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748742188","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":[0.017954566,0.0009213222,0.9529824,0.009194948,0.0001730254,0.0012715836,0.00003159544,0.000114800074,0.017355723],"genre_scores_gemma":[0.97194314,0.00030449274,0.026647104,0.0005781721,0.000075565935,0.000198926,0.000044919714,0.000020169617,0.00018753912],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830747,0.0002192728,0.00031696894,0.00047817404,0.00021356695,0.00046454955],"domain_scores_gemma":[0.99685764,0.0009933761,0.00021962928,0.0016139061,0.00021128719,0.00010416385],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00068301026,0.00021924218,0.00028612596,0.000107405576,0.0018618408,0.00052305317,0.0024120265,0.000071443195,0.000005353165],"category_scores_gemma":[0.0000859643,0.00023439994,0.00012600276,0.00028895758,0.00041339616,0.00037222527,0.00077428913,0.00033348953,0.00001230281],"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":[0.00017045539,0.0005475733,0.00644839,0.00006019563,0.00025792056,0.000055237877,0.005815165,0.0024565218,0.000023096412,0.44096243,0.0012747686,0.54192823],"study_design_scores_gemma":[0.00080595136,0.00012284522,0.0179953,0.00057691947,0.00003259738,0.00000682478,0.000987118,0.9724836,0.00015053106,0.0022304768,0.0041668075,0.0004410559],"about_ca_topic_score_codex":0.00008742964,"about_ca_topic_score_gemma":0.0006109149,"teacher_disagreement_score":0.970027,"about_ca_system_score_codex":0.00012301064,"about_ca_system_score_gemma":0.00008405673,"threshold_uncertainty_score":0.9994376},"labels":[],"label_agreement":null},{"id":"W2755224554","doi":"10.1007/s11277-017-4429-3","title":"Effect of Power Amplifier Nonlinearity on the Physical Layer Security of MIMO Systems","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; MIMO; Rayleigh fading; Secrecy; Physical layer; Nonlinear system; Diversity gain; Block code; Amplifier; Power (physics); Monte Carlo method; Telecommunications; Channel (broadcasting); Electronic engineering; Topology (electrical circuits); Fading; Mathematics; Wireless; Statistics; Physics; Electrical engineering; Computer security; Engineering; Decoding methods","score_opus":0.03207504311089258,"score_gpt":0.31725029216861617,"score_spread":0.28517524905772357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755224554","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":[0.98266923,0.00043700286,0.00014713734,0.00085718365,0.00007591415,0.00048570585,0.00018032674,0.00017770192,0.014969783],"genre_scores_gemma":[0.99932605,0.00027050523,0.00012866987,0.000016357004,0.000029514253,0.00014763665,0.000025288762,0.000037083137,0.00001891241],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854714,0.0004385002,0.00035190556,0.00014366988,0.00033309593,0.00018570694],"domain_scores_gemma":[0.9932105,0.0014319782,0.0002639835,0.004842183,0.0001946155,0.000056774512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007605721,0.00021430013,0.00043766186,0.00007114165,0.0004925816,0.00007105987,0.003137238,0.00012380906,0.000015123587],"category_scores_gemma":[0.00016305558,0.00016691534,0.00019826923,0.00011254972,0.00075145677,0.00015075754,0.0005605562,0.00068901584,0.00001601866],"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":[0.00036496515,0.0029929162,0.0138599835,0.0021364347,0.0014049867,0.0000033319136,0.033729024,0.0007761238,0.11619551,0.8078679,0.0077854423,0.012883383],"study_design_scores_gemma":[0.0016176807,0.0009270513,0.016185327,0.0015921918,0.00025525174,0.000015485617,0.0014628947,0.75061333,0.20639615,0.0017501644,0.01793109,0.0012533972],"about_ca_topic_score_codex":0.00026241626,"about_ca_topic_score_gemma":0.000049455575,"teacher_disagreement_score":0.8061177,"about_ca_system_score_codex":0.000053629472,"about_ca_system_score_gemma":0.000026544869,"threshold_uncertainty_score":0.68066096},"labels":[],"label_agreement":null},{"id":"W2770590313","doi":"10.1007/s11277-017-5056-8","title":"Link State Routing Based on Compressed Sensing","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Routing table; Network packet; Overhead (engineering); Node (physics); Static routing; Routing (electronic design automation); Link-state routing protocol; Distance-vector routing protocol; Routing protocol; Destination-Sequenced Distance Vector routing; Distributed computing","score_opus":0.04789928507914449,"score_gpt":0.2867679655104028,"score_spread":0.2388686804312583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770590313","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":[0.6358498,0.00069579226,0.16082093,0.01215676,0.00080269657,0.0009605572,0.00015799455,0.005978133,0.18257737],"genre_scores_gemma":[0.9901353,0.00008276401,0.009390265,0.00019284722,0.00006166291,0.0000071108366,0.000027970704,0.000046704143,0.0000553379],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920505,0.000063670734,0.00018008421,0.00015256341,0.00016677933,0.00023187838],"domain_scores_gemma":[0.9973515,0.00019725405,0.00009106536,0.0022027504,0.00008955314,0.00006782878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012986029,0.00017166813,0.0001823214,0.00007392996,0.0011066798,0.00023346007,0.00094526535,0.00006589189,0.000008364727],"category_scores_gemma":[0.000036403402,0.00018721214,0.00008056472,0.000049799808,0.00019527954,0.00011642509,0.00018748501,0.00041817196,0.000027928172],"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":[0.0001298476,0.00039054218,0.004292424,0.00013119905,0.00043286345,0.00008512469,0.005911845,0.07020143,0.15133817,0.009201093,0.00882612,0.7490593],"study_design_scores_gemma":[0.00020438666,0.000015358804,0.0027843304,0.00023225871,0.00001228866,0.0000028554841,0.00004263466,0.98478377,0.007988722,0.00022946313,0.0034849327,0.00021898092],"about_ca_topic_score_codex":0.00013021489,"about_ca_topic_score_gemma":0.000081562255,"teacher_disagreement_score":0.9145824,"about_ca_system_score_codex":0.000058429312,"about_ca_system_score_gemma":0.00002458302,"threshold_uncertainty_score":0.85117984},"labels":[],"label_agreement":null},{"id":"W2773961688","doi":"10.1007/s11277-017-5101-7","title":"A Selected Mapping Technique Using Interleavers for PAPR Reduction in OFDM Systems","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Orthogonal frequency-division multiplexing; Block (permutation group theory); Reduction (mathematics); Algorithm; Symbol (formal); Set (abstract data type); Rotation (mathematics); Power (physics); Channel (broadcasting); Mathematics; Telecommunications; Artificial intelligence","score_opus":0.07588695529661965,"score_gpt":0.31277279198872315,"score_spread":0.2368858366921035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773961688","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":[0.92692596,0.00088854885,0.063394055,0.0007250676,0.0010772184,0.0019054278,0.00007955279,0.0007163771,0.0042878003],"genre_scores_gemma":[0.9899596,0.0001173859,0.008997383,0.0000027304495,0.000095032025,0.00063898874,0.000034318677,0.000044756525,0.00010981082],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991373,0.000063586274,0.00029782983,0.00016309107,0.00010374445,0.00023443699],"domain_scores_gemma":[0.9985084,0.000059925027,0.00012247919,0.0011143677,0.00014452744,0.000050329363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026299167,0.0001470705,0.00019809077,0.00022356461,0.0006263601,0.00013544674,0.0008191705,0.00012438372,0.0000044516983],"category_scores_gemma":[0.00006866559,0.00018197256,0.0000614624,0.00020324226,0.00016926003,0.0003195673,0.000112846894,0.00034149384,0.0000051419483],"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":[0.000044739863,0.00018692254,0.0021692542,0.000620333,0.00025675475,0.0000028704515,0.008249168,0.013263141,0.96095145,0.0061332905,0.001669815,0.0064522806],"study_design_scores_gemma":[0.0006239911,0.000023295464,0.0025943932,0.00072523765,0.00002993241,0.00016748234,0.0044952477,0.97802746,0.0052872235,0.00014959813,0.0073951953,0.0004809559],"about_ca_topic_score_codex":0.000351333,"about_ca_topic_score_gemma":0.000060972383,"teacher_disagreement_score":0.9647643,"about_ca_system_score_codex":0.00043661942,"about_ca_system_score_gemma":0.000057137386,"threshold_uncertainty_score":0.7420625},"labels":[],"label_agreement":null},{"id":"W2782555766","doi":"10.1007/s11277-017-5187-y","title":"A New Gradual Secret Sharing Scheme with Diverse Access Structure","year":2018,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Secret sharing; Collusion; Access structure; Scheme (mathematics); Overhead (engineering); Order (exchange); Theoretical computer science; Computer security; Computer network; Cryptography; Mathematics","score_opus":0.05231008955860969,"score_gpt":0.3116768315132511,"score_spread":0.2593667419546414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782555766","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":[0.5469682,0.0004072199,0.4408471,0.0055486206,0.00021141225,0.0003703105,0.00022099583,0.0005581907,0.004867908],"genre_scores_gemma":[0.8942758,0.000039443268,0.1051316,0.0003223228,0.000103450555,0.000008105643,0.00008904953,0.000009572505,0.000020689007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885136,0.000053408112,0.00014883983,0.00038374023,0.00029732945,0.00026533724],"domain_scores_gemma":[0.9972231,0.00007017606,0.000096040836,0.0022644524,0.00016279116,0.00018348699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010324911,0.00016458635,0.00014383317,0.00012081137,0.00080805144,0.00047976992,0.005358309,0.000065366265,0.0001079477],"category_scores_gemma":[0.000010642144,0.00014611457,0.000059795817,0.0008530376,0.00033539,0.0012900648,0.0026946494,0.0003493033,0.000022249633],"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":[0.000036578465,0.000105105464,0.022695754,0.000016795226,0.00009894155,0.0000047512203,0.010399329,0.0000010876123,0.00067178975,0.9475399,0.003788286,0.014641632],"study_design_scores_gemma":[0.0075400025,0.0013634401,0.19769654,0.00081880525,0.0002601161,0.0005402035,0.005708594,0.4482693,0.0039662845,0.16234693,0.16666624,0.004823522],"about_ca_topic_score_codex":0.00065130304,"about_ca_topic_score_gemma":0.0027536296,"teacher_disagreement_score":0.785193,"about_ca_system_score_codex":0.00002917751,"about_ca_system_score_gemma":0.00015247236,"threshold_uncertainty_score":0.9957161},"labels":[],"label_agreement":null},{"id":"W289060892","doi":"10.1023/a:1008955502946","title":"Integrated Services over ATM/MAN-Based Personal Communication Networks","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Poznańskie Centrum Superkomputerowo-Sieciowe; Natural Sciences and Engineering Research Council of Canada; University of Cambridge; Government of Canada","keywords":"Computer science; Computer network; Paging; Telecommunications; Scheme (mathematics); Telephone network; Asynchronous Transfer Mode","score_opus":0.026775510331285765,"score_gpt":0.2898303142061174,"score_spread":0.2630548038748316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W289060892","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":[0.587253,0.03108059,0.21977101,0.08304526,0.0004486595,0.0037886165,0.000253618,0.0053697014,0.06898957],"genre_scores_gemma":[0.9699497,0.0033174814,0.022348268,0.0021069285,0.000062945306,0.00036118852,0.0007242901,0.00006679267,0.0010624024],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99513394,0.001654354,0.0007476582,0.00070647796,0.00093020085,0.00082737155],"domain_scores_gemma":[0.9905069,0.001307515,0.00027272003,0.006991574,0.00055969704,0.0003616007],"candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010644553,0.00048542197,0.0004677376,0.0002965246,0.0020096155,0.000798254,0.0122756595,0.00031547356,0.0010213574],"category_scores_gemma":[0.000022670882,0.0005024443,0.0002864379,0.002058617,0.00081437494,0.0011901981,0.0015910426,0.0017043329,0.00036280195],"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":[0.0003031106,0.0033588326,0.011075459,0.00017227817,0.0005426093,0.00001728393,0.0154412035,0.014717178,0.0007347667,0.082854845,0.012301379,0.85848105],"study_design_scores_gemma":[0.000746755,0.00005184179,0.0064778198,0.00020204727,0.000018847928,0.00001377654,0.00028557924,0.9379172,0.000027632017,0.00022070651,0.05353752,0.0005003249],"about_ca_topic_score_codex":0.0010009677,"about_ca_topic_score_gemma":0.0011859856,"teacher_disagreement_score":0.92319995,"about_ca_system_score_codex":0.000348716,"about_ca_system_score_gemma":0.00039316676,"threshold_uncertainty_score":0.9998918},"labels":[],"label_agreement":null},{"id":"W2897907285","doi":"10.1007/s11277-018-6039-0","title":"A Dual-Band Printed Antenna Design Based on Annular Koch Snowflake Slot Structure","year":2018,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ground plane; Antenna (radio); Multi-band device; Patch antenna; Koch snowflake; Fractal antenna; Microstrip antenna; Optics; Computer science; Slot antenna; Physics; Acoustics; Coaxial antenna; Telecommunications","score_opus":0.02902361368481398,"score_gpt":0.25065403027452804,"score_spread":0.22163041658971405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897907285","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":[0.19345003,0.0012035128,0.79113215,0.0032978964,0.0002524827,0.00073096197,0.000275592,0.0013186292,0.008338743],"genre_scores_gemma":[0.994617,0.00010421393,0.004474174,0.00031805362,0.00010401112,0.00003083233,0.00010604871,0.00005436401,0.00019132464],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987913,0.00016438036,0.0002525831,0.00023198799,0.00025254887,0.00030723878],"domain_scores_gemma":[0.99822116,0.00018490905,0.00005301106,0.0012083768,0.0002087058,0.00012385215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018257991,0.0002505644,0.0002602373,0.00020741267,0.0004383222,0.000074674026,0.00065435295,0.0001269203,0.00028524155],"category_scores_gemma":[0.000035457026,0.0002378345,0.00012898022,0.00055414665,0.00033560063,0.00009863285,0.00005509774,0.0004043392,0.00010679804],"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":[0.00023998537,0.0005623253,0.0022172318,0.00013966709,0.0008244159,0.00003196384,0.0066633997,0.0022045816,0.96985507,0.0062093004,0.0042724493,0.006779637],"study_design_scores_gemma":[0.00035123495,0.000086975604,0.0016815116,0.00009958495,0.000061836785,0.000007560306,0.00030618673,0.992358,0.0026095058,0.00009042333,0.0020493376,0.00029780192],"about_ca_topic_score_codex":0.000025757881,"about_ca_topic_score_gemma":0.00012293688,"teacher_disagreement_score":0.99015343,"about_ca_system_score_codex":0.00007908557,"about_ca_system_score_gemma":0.000055447686,"threshold_uncertainty_score":0.9698609},"labels":[],"label_agreement":null},{"id":"W2915808263","doi":"10.1007/s11277-019-06181-9","title":"Training Power Allocation Based on MSE-Minimization for Multi-Relay Amplify-and-Forward Cooperation in Wireless Sensor Networks","year":2019,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"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; Relay; Wireless sensor network; Minification; Wireless; Computer network; Power (physics); Telecommunications; Real-time computing","score_opus":0.08157628639821406,"score_gpt":0.3177775368268485,"score_spread":0.23620125042863443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915808263","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":[0.055936284,0.0003299853,0.9358193,0.005331811,0.00020658049,0.0013390833,0.000015278747,0.00019796549,0.00082370423],"genre_scores_gemma":[0.9543071,0.0005886715,0.042889915,0.0013514134,0.000026310614,0.00033452347,0.00027684294,0.000033729153,0.00019153138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788564,0.0005059971,0.00050480466,0.0005163001,0.0002325293,0.0003547374],"domain_scores_gemma":[0.9967995,0.0009522745,0.00020848373,0.0015805424,0.0003458174,0.00011337874],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00079077337,0.00026947487,0.0003246428,0.00027032298,0.00060535053,0.00025338613,0.001311469,0.00018200999,0.000022271774],"category_scores_gemma":[0.000091140864,0.00028713097,0.00008476952,0.00070952636,0.00012227295,0.00048521988,0.00030999808,0.0005031891,0.000021897746],"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":[0.00022765277,0.0013524657,0.0066204057,0.000082342616,0.000104657745,0.000001526845,0.022738852,0.13705792,0.0052070706,0.6361466,0.00042722689,0.19003329],"study_design_scores_gemma":[0.0014069778,0.00011952477,0.0034748013,0.00015748337,0.000008443111,0.0000025409436,0.000423487,0.9915593,0.00005320279,0.00001902062,0.002444608,0.00033057708],"about_ca_topic_score_codex":0.0000152615,"about_ca_topic_score_gemma":0.0002779214,"teacher_disagreement_score":0.8983708,"about_ca_system_score_codex":0.00017205965,"about_ca_system_score_gemma":0.00017624052,"threshold_uncertainty_score":0.9999581},"labels":[],"label_agreement":null},{"id":"W2943988096","doi":"10.1007/s11277-019-06459-y","title":"Estimation of Distribution Algorithm for Joint Resource Management in D2D Communication","year":2019,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Mathematical optimization; Throughput; Greedy algorithm; Constraint (computer-aided design); Computational complexity theory; Resource allocation; Optimization problem; Interference (communication); Resource management (computing); Algorithm; Distributed computing; Wireless; Computer network; Mathematics; Telecommunications","score_opus":0.01742084655143082,"score_gpt":0.2559718155713314,"score_spread":0.23855096901990058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943988096","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":[0.016978672,0.0007310255,0.97719896,0.0001953683,0.0000497327,0.0012118085,0.00016344819,0.00014740342,0.0033235776],"genre_scores_gemma":[0.878261,0.00032169683,0.11933245,0.000007995365,0.000005519594,0.0002789835,0.0016717337,0.000026472078,0.00009413687],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914724,0.00006966964,0.00040487052,0.000121404584,0.0001115883,0.00014525154],"domain_scores_gemma":[0.99872124,0.00013200972,0.00011267004,0.0009345379,0.000072539806,0.000026983515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027775374,0.00011537733,0.00019143052,0.00011238834,0.000082351704,0.000014578548,0.00039399735,0.0000709261,0.000007056155],"category_scores_gemma":[0.000008211539,0.0001403291,0.000055838605,0.00029372002,0.000055980916,0.00019576807,0.00010523452,0.00014255497,0.000011911528],"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":[0.000016713482,0.00020248021,0.00018626972,0.00046945686,0.00009363115,1.7861056e-7,0.0020557547,0.34833246,0.0010618253,0.022510985,0.00048128387,0.62458897],"study_design_scores_gemma":[0.000533021,0.000016393366,0.00047435748,0.00018302306,0.00001497362,0.0000013646791,0.00095890707,0.99517083,0.00045193426,0.00029381443,0.0017703382,0.00013103333],"about_ca_topic_score_codex":0.000021952583,"about_ca_topic_score_gemma":0.00002417086,"teacher_disagreement_score":0.86128235,"about_ca_system_score_codex":0.00023553547,"about_ca_system_score_gemma":0.000010403507,"threshold_uncertainty_score":0.5722455},"labels":[],"label_agreement":null},{"id":"W2944840903","doi":"10.1007/s11277-019-06539-z","title":"Renewable Energy Assisted Sustainable and Environment Friendly Energy Cooperation in Cellular Networks","year":2019,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"","keywords":"Computer science; Renewable energy; Energy (signal processing); Energy consumption; Efficient energy use; Grid; Mathematical optimization; Energy management; Electrical engineering; Engineering; Mathematics","score_opus":0.007132639840732776,"score_gpt":0.19298122186414404,"score_spread":0.18584858202341126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944840903","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":[0.022129236,0.008067081,0.9561433,0.00023824212,0.000106206884,0.00031632456,0.000010307287,0.0002253079,0.012763999],"genre_scores_gemma":[0.9918329,0.0023223986,0.0024434475,0.000030181482,0.000021705788,0.00012608597,0.00025224962,0.000041748855,0.002929252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910927,0.000095906886,0.00025708857,0.00018804905,0.000090895854,0.00025877482],"domain_scores_gemma":[0.9991372,0.00008108176,0.00004909109,0.0006299677,0.00004203641,0.000060613875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121280864,0.00015366984,0.00018424152,0.000111590045,0.0001520259,0.000047349207,0.00024509433,0.00011581523,0.000043068856],"category_scores_gemma":[0.000004958973,0.00018177315,0.000025409687,0.0002370657,0.000055563232,0.00028237505,0.00013603801,0.00013936608,0.000005233869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006940393,0.000049082475,0.000418269,0.000030498059,0.000020320842,0.0000020478697,0.00032507317,0.9759279,0.0062298523,0.015112833,0.00024554727,0.0016316419],"study_design_scores_gemma":[0.00035840823,0.00002351984,0.00013916158,0.000035972913,0.000007732937,0.000004327205,0.0007456386,0.97528654,0.0004921863,0.00006877298,0.022628905,0.00020885395],"about_ca_topic_score_codex":0.0014296691,"about_ca_topic_score_gemma":0.0010087416,"teacher_disagreement_score":0.9697037,"about_ca_system_score_codex":0.00025387725,"about_ca_system_score_gemma":0.000021982247,"threshold_uncertainty_score":0.74124944},"labels":[],"label_agreement":null},{"id":"W2951656029","doi":"10.1007/s11277-019-06629-y","title":"Energy-Based Timing Estimation and Artificial Neural Network Based Ranging Error Mitigation in mm-Wave Ranging Systems Using Statistics Fingerprint Analysis","year":2019,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","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 Victoria","funders":"","keywords":"Ranging; Non-line-of-sight propagation; Computer science; Standard deviation; Artificial neural network; Kurtosis; Algorithm; Time of arrival; Skewness; Energy (signal processing); Multipath propagation; Statistics; Artificial intelligence; Telecommunications; Wireless; Mathematics","score_opus":0.035572082234093826,"score_gpt":0.2591491305330573,"score_spread":0.2235770482989635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951656029","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":[0.42347503,0.00031524734,0.5755931,0.000086017535,0.00009104411,0.00015220784,0.000034307384,0.00020326192,0.000049748567],"genre_scores_gemma":[0.9738892,0.000015476024,0.025649445,0.000041602914,0.000021826329,0.0000527632,0.0002930795,0.000031820717,0.0000047954322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880797,0.0001216684,0.00040699862,0.00019017197,0.00019044215,0.00028273312],"domain_scores_gemma":[0.9989584,0.0003363235,0.00010973352,0.0004731976,0.000081433034,0.000040917694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028956344,0.00018318382,0.00029510618,0.000500459,0.0002709844,0.00012117963,0.00020082208,0.00012319603,0.000014680869],"category_scores_gemma":[0.000028323859,0.00021616704,0.00006972144,0.0010028189,0.00008823758,0.00014695135,0.000057978916,0.00023555077,0.0000023318212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007802508,0.0000138477435,0.0044182893,0.00007315638,0.000049498474,0.0000013421007,0.000324526,0.98738134,0.0007337429,0.003248396,0.00000727623,0.0037407868],"study_design_scores_gemma":[0.00025885284,0.000007958594,0.0014150197,0.00013667105,0.00011894472,0.000001474175,0.00051127706,0.9968844,0.00033470363,0.00008366236,0.000020838579,0.0002261876],"about_ca_topic_score_codex":0.00021063715,"about_ca_topic_score_gemma":0.0002636371,"teacher_disagreement_score":0.55041414,"about_ca_system_score_codex":0.00019591267,"about_ca_system_score_gemma":0.000044568667,"threshold_uncertainty_score":0.88150364},"labels":[],"label_agreement":null},{"id":"W2971362957","doi":"10.1007/s11277-019-06702-6","title":"Iterative Self-Interference Mitigation in Full-Duplex Wireless Communications","year":2019,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Single antenna interference cancellation; Wireless; SIGNAL (programming language); Algorithm; Amplifier; Interference (communication); Iterative method; Distortion (music); Channel (broadcasting); Adjacent-channel interference; Electronic engineering; Telecommunications; Bandwidth (computing)","score_opus":0.02147948846944251,"score_gpt":0.26009447861986396,"score_spread":0.23861499015042145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971362957","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":[0.98325485,0.0021105995,0.0007934006,0.0030142732,0.00021066343,0.0010859413,0.00016120845,0.0010645351,0.008304537],"genre_scores_gemma":[0.9848819,0.003668243,0.00932026,0.00016700255,0.00003652532,0.0007381343,0.0007868097,0.00012853734,0.00027263592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968971,0.0005637137,0.0009938605,0.0004845165,0.00040688,0.0006539566],"domain_scores_gemma":[0.9919312,0.0011128583,0.00020581392,0.0061953375,0.00034906645,0.00020572773],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047029092,0.000531433,0.0006045743,0.00051126163,0.0005306079,0.00021058126,0.004954096,0.0002973636,0.00022010927],"category_scores_gemma":[0.00004211895,0.0006319909,0.00020331964,0.0013548975,0.00049274584,0.00083657977,0.0012097086,0.0015799154,0.0008562961],"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":[0.00022718596,0.005688793,0.078107245,0.0013538405,0.0016540986,0.00001634185,0.13557255,0.10345047,0.31029657,0.3104355,0.0042473725,0.04895006],"study_design_scores_gemma":[0.0008726913,0.000060925166,0.0076128766,0.0003573828,0.000036214435,0.000023415389,0.0027583377,0.9815153,0.0005791663,0.000051798623,0.0054195644,0.0007123635],"about_ca_topic_score_codex":0.00019157614,"about_ca_topic_score_gemma":0.0027461438,"teacher_disagreement_score":0.8780648,"about_ca_system_score_codex":0.0007000888,"about_ca_system_score_gemma":0.00017920515,"threshold_uncertainty_score":0.9999217},"labels":[],"label_agreement":null},{"id":"W2997275652","doi":"10.1007/s11277-019-07010-9","title":"Resource Optimisation in 5G and Internet-of-Things Networking","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":45,"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 Manitoba","funders":"National Research Foundation","keywords":"Computer science; Scarcity; Internet of Things; Key (lock); Resource (disambiguation); Low latency (capital markets); Spectrum management; The Internet; Strengths and weaknesses; Computer network; Telecommunications; Distributed computing; Wireless; Computer security; World Wide Web; Cognitive radio","score_opus":0.03852037282645272,"score_gpt":0.24859279608878115,"score_spread":0.21007242326232844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997275652","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":[0.8881604,0.019870123,0.06502069,0.013677744,0.00006837722,0.000651031,0.000013990544,0.0018044189,0.010733191],"genre_scores_gemma":[0.98478824,0.0022648375,0.012685477,0.00014504115,0.000012382804,0.000042891552,0.000036197594,0.000017981845,0.000006947471],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992949,0.00005683485,0.0002930123,0.0001237753,0.00009467208,0.00013683562],"domain_scores_gemma":[0.9990802,0.00027954014,0.000072789364,0.0004913883,0.000030753596,0.000045322297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001051727,0.00011882383,0.00018399996,0.00007155968,0.00006108574,0.000018854502,0.0007807366,0.000088613466,0.0000067206906],"category_scores_gemma":[0.00003849255,0.00012774141,0.00003054101,0.00036488785,0.00018195261,0.00019846253,0.00032822046,0.00043793296,0.0000026089224],"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":[0.000037084534,0.00008211465,0.007247182,0.00020549129,0.00007699108,0.0000017743467,0.028275693,0.012434028,0.023938764,0.019555254,0.00044357,0.907702],"study_design_scores_gemma":[0.0002259339,0.000021883263,0.0011766814,0.00012958636,0.000005777644,0.0000025823813,0.0020821744,0.98358333,0.0017691839,0.00026824264,0.010550684,0.00018396176],"about_ca_topic_score_codex":0.000039239687,"about_ca_topic_score_gemma":0.000033231,"teacher_disagreement_score":0.97114927,"about_ca_system_score_codex":0.00005151581,"about_ca_system_score_gemma":0.000008159179,"threshold_uncertainty_score":0.5209144},"labels":[],"label_agreement":null},{"id":"W2999499494","doi":"10.1007/s11277-019-07011-8","title":"Routing Using Genetic Algorithm in a Wireless Sensor Network","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Distance-vector routing protocol; Algorithm; Destination-Sequenced Distance Vector routing; Ad hoc On-Demand Distance Vector Routing; Genetic algorithm; Dynamic Source Routing; Computer network; Wireless sensor network; Dijkstra's algorithm; Routing (electronic design automation); Routing protocol; Shortest path problem; Machine learning","score_opus":0.04885597000630003,"score_gpt":0.27167452626447847,"score_spread":0.22281855625817842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999499494","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":[0.18115678,0.000925622,0.81028575,0.005836523,0.00020947833,0.0003328737,0.000010222574,0.00044075993,0.0008019797],"genre_scores_gemma":[0.6937442,0.0001683572,0.30478254,0.0010019299,0.00020828703,0.000023996843,0.000014496243,0.000038409074,0.000017803215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99680364,0.0005550878,0.00064346514,0.0007092974,0.00048055933,0.00080794573],"domain_scores_gemma":[0.9971629,0.00045496653,0.00026083825,0.0016739195,0.00015298688,0.0002944332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034549937,0.00034234714,0.0004424769,0.00012210195,0.0006262303,0.00023795427,0.0033506637,0.00017562218,0.000010837967],"category_scores_gemma":[0.000035155168,0.00039215243,0.00015614509,0.0019767475,0.00023710256,0.00033444673,0.0016023584,0.0008219806,0.000038216698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000336454,0.0006621462,0.014070116,0.00006816865,0.00016820632,0.00020955947,0.01759274,0.68472254,0.0042318725,0.07164571,0.00047761196,0.20611767],"study_design_scores_gemma":[0.00040643095,0.000033378827,0.0017393999,0.00011697767,0.000013111835,0.000038774542,0.0003150331,0.9961483,0.0000675146,0.00006464803,0.0006304833,0.00042596468],"about_ca_topic_score_codex":0.00025985096,"about_ca_topic_score_gemma":0.000084264255,"teacher_disagreement_score":0.51258737,"about_ca_system_score_codex":0.0001824404,"about_ca_system_score_gemma":0.00018542679,"threshold_uncertainty_score":0.999853},"labels":[],"label_agreement":null},{"id":"W3019690831","doi":"10.1007/s11277-020-07381-4","title":"Analysis of Acquired Indoor LTE-A Data from an Actual HetNet Cellular Deployment","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Heterogeneous network; Computer science; Throughput; Software deployment; Telecommunications link; LTE Advanced; Cellular network; Computer network; Subframe; Distributed computing; Telecommunications; Wireless network; Wireless","score_opus":0.0729789877018619,"score_gpt":0.29762522329333446,"score_spread":0.22464623559147257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019690831","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":[0.57220054,0.0020025708,0.4203065,0.0008999927,0.00007337006,0.00037581546,0.0031449217,0.00051675836,0.00047951602],"genre_scores_gemma":[0.9819531,0.00023114377,0.009432266,0.00008781506,0.000043377608,0.000025339968,0.008177666,0.00004241165,0.000006902663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988952,0.00011472919,0.00038557002,0.00026534137,0.00018720834,0.00015190766],"domain_scores_gemma":[0.99732834,0.00014959132,0.00010796637,0.002199429,0.00007662208,0.00013806428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001000935,0.00015853821,0.0003534689,0.00012148534,0.00010632269,0.00002864501,0.0016650909,0.00007957089,0.000116332725],"category_scores_gemma":[0.000025715788,0.00018170399,0.000072614355,0.0008095057,0.00008751924,0.0004118512,0.00042276442,0.00010992866,0.000018378143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010001493,0.0006078367,0.014666358,0.00014712081,0.006758671,0.0000056884205,0.03508271,0.746494,0.18402821,0.0010564252,0.0014610222,0.009591939],"study_design_scores_gemma":[0.00021677099,0.00001831642,0.00075141457,0.000014331196,0.00045897815,1.7717977e-7,0.0015605977,0.9944712,0.0015414531,0.000004505834,0.0007898268,0.00017245092],"about_ca_topic_score_codex":0.00021759717,"about_ca_topic_score_gemma":0.00044554655,"teacher_disagreement_score":0.41087422,"about_ca_system_score_codex":0.00005736407,"about_ca_system_score_gemma":0.000030060082,"threshold_uncertainty_score":0.7409674},"labels":[],"label_agreement":null},{"id":"W3027654966","doi":"10.1007/s11277-020-07477-x","title":"Improving Throughput in Lossy Wired/Wireless Networks","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"TCP global synchronization; Computer science; TCP acceleration; Zeta-TCP; H-TCP; Computer network; TCP Westwood; TCP Westwood plus; TCP Friendly Rate Control; CUBIC TCP; TCP tuning; HSTCP; Transmission Control Protocol; Network packet","score_opus":0.030837826895865807,"score_gpt":0.24859045307304517,"score_spread":0.21775262617717936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027654966","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":[0.042942323,0.0029736627,0.8973098,0.05242433,0.00025608263,0.0004764669,0.000009097586,0.0006422382,0.0029660221],"genre_scores_gemma":[0.99007964,0.00037770264,0.006149189,0.003016274,0.00017620427,0.00009408505,0.000018828494,0.000021773234,0.0000662902],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981049,0.0002651331,0.0004154606,0.000490812,0.00028233067,0.0004414086],"domain_scores_gemma":[0.9978639,0.00037157876,0.00015781981,0.001271927,0.000115627256,0.00021916108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028480368,0.00022730728,0.0003076945,0.000068680565,0.00038110052,0.00021402024,0.0031608269,0.00012890388,0.00001829096],"category_scores_gemma":[0.000030888667,0.00024276534,0.00012034645,0.0009003187,0.00019423252,0.000526013,0.0009091356,0.00061122753,0.000050745024],"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":[0.000025475665,0.00018235683,0.0018397596,0.000019471252,0.000038171787,0.000017810375,0.004295308,0.0021743143,0.00027131295,0.15061413,0.0011890873,0.8393328],"study_design_scores_gemma":[0.00058742636,0.000042695694,0.0007009557,0.000040573916,0.000008768288,0.000008036986,0.00025550064,0.99468446,0.000010388488,0.00012493148,0.0032668852,0.00026936934],"about_ca_topic_score_codex":0.000112324466,"about_ca_topic_score_gemma":0.000291208,"teacher_disagreement_score":0.99251014,"about_ca_system_score_codex":0.00008106206,"about_ca_system_score_gemma":0.00017356442,"threshold_uncertainty_score":0.9899683},"labels":[],"label_agreement":null},{"id":"W3031131253","doi":"10.1007/s11277-020-07488-8","title":"Performance Analysis in Double-Rayleigh Channels with Diversity Combining Techniques","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Power Line Communications and Noise","field":"Engineering","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":"Université de Sherbrooke","funders":"","keywords":"Cumulative distribution function; Ergodic theory; Computer science; Maximal-ratio combining; Probability density function; Monte Carlo method; Applied mathematics; Expression (computer science); Function (biology); Diversity combining; Algorithm; Statistical physics; Mathematics; Statistics; Physics; Mathematical analysis","score_opus":0.04381667901249033,"score_gpt":0.2473644430603871,"score_spread":0.20354776404789676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031131253","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":[0.9853617,0.0004342918,0.0014441034,0.0020930795,0.000015079483,0.0002032662,0.000020940255,0.00045429185,0.009973233],"genre_scores_gemma":[0.9958426,0.00090116897,0.0029071833,0.00012028764,0.000014952838,0.000068336776,0.000100326586,0.000020623878,0.000024557645],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992454,0.000049390295,0.00020705443,0.00014949971,0.0001516714,0.00019698177],"domain_scores_gemma":[0.9987955,0.0000769755,0.00004447296,0.00091266463,0.00006880038,0.000101578495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013823174,0.00015339936,0.00025268167,0.00021177242,0.0003931996,0.000036899193,0.0012144297,0.000060579103,0.000029701085],"category_scores_gemma":[0.0000036931274,0.00015648526,0.000073132986,0.0014814519,0.0001277202,0.00023656373,0.0006887376,0.00043912485,0.000013661259],"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":[0.00047100795,0.0009978297,0.83411974,0.00038982843,0.002674688,0.0000166483,0.07772171,0.043117803,0.003427509,0.010237401,0.0011058715,0.025719995],"study_design_scores_gemma":[0.0007831053,0.00008251721,0.02777815,0.00008331873,0.00021548403,0.0000027384965,0.0009488123,0.96441174,0.0011736797,0.000010877254,0.0040507196,0.00045886406],"about_ca_topic_score_codex":0.00014222128,"about_ca_topic_score_gemma":0.00032805346,"teacher_disagreement_score":0.9212939,"about_ca_system_score_codex":0.0000717259,"about_ca_system_score_gemma":0.000022858781,"threshold_uncertainty_score":0.63812834},"labels":[],"label_agreement":null},{"id":"W3042771729","doi":"10.1007/s11277-020-07632-4","title":"CS-CGMP: Clustering Scheme Using Canada Geese Migration Principle for Routing in Wireless Sensor Networks","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Wireless sensor network; Computer network; Network packet; Routing (electronic design automation); Cluster analysis; Node (physics); Routing protocol; Energy (signal processing); Mathematics; Artificial intelligence","score_opus":0.05313250812820883,"score_gpt":0.2824856604659226,"score_spread":0.22935315233771378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042771729","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":[0.4028621,0.00019447619,0.59069836,0.005346682,0.00018244325,0.00043721247,0.000016536398,0.00016244568,0.0000997379],"genre_scores_gemma":[0.9014018,0.000073220595,0.09721088,0.0009217338,0.00015341892,0.00007963675,0.00008093087,0.000047665646,0.00003069502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972684,0.00027121342,0.00066984456,0.0006496164,0.00042728154,0.0007136567],"domain_scores_gemma":[0.99728966,0.00060693175,0.00032028006,0.0012819128,0.0002453556,0.00025583652],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003879143,0.00033340082,0.00040950975,0.00010529459,0.00073350203,0.00022343005,0.0023118544,0.00016273119,0.0000033430404],"category_scores_gemma":[0.000091816604,0.00038918108,0.00012443925,0.001041405,0.00011587429,0.00041782032,0.0010870012,0.0006302039,0.0000017897001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007532025,0.00025166292,0.0140433395,0.0001198197,0.00009972374,0.000026530672,0.0049514365,0.9262706,0.01216309,0.03424771,0.00025903634,0.007491739],"study_design_scores_gemma":[0.0005324814,0.000027712937,0.0005682135,0.000130647,0.000010952061,0.000011818652,0.0004346839,0.99648005,0.00016762741,0.000005163128,0.0012131005,0.0004175497],"about_ca_topic_score_codex":0.045764193,"about_ca_topic_score_gemma":0.3163072,"teacher_disagreement_score":0.49853972,"about_ca_system_score_codex":0.00053857453,"about_ca_system_score_gemma":0.0005636973,"threshold_uncertainty_score":0.999856},"labels":[],"label_agreement":null},{"id":"W3047507137","doi":"10.1007/s11277-020-07669-5","title":"Correction to: CS-CGMP: Clustering Scheme Using Canada Geese Migration Principle for Routing in Wireless Sensor Networks","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Cluster analysis; Scheme (mathematics); Computer network; Routing (electronic design automation); Wireless; Wireless sensor network; Telecommunications; Artificial intelligence","score_opus":0.05485517103149586,"score_gpt":0.2828118660618924,"score_spread":0.22795669503039653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047507137","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":[0.91874653,0.00003299553,0.049039062,0.03030567,0.0004050135,0.00069463276,0.000015599591,0.00019998997,0.0005605235],"genre_scores_gemma":[0.99066067,0.000010023674,0.0041469894,0.004369279,0.0003315329,0.00013798165,0.00024809336,0.000040510455,0.00005493094],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987246,0.000023297796,0.0004407186,0.00029691122,0.00016544566,0.0003490358],"domain_scores_gemma":[0.998798,0.00017501829,0.00023466395,0.00047323032,0.0002914215,0.00002763022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023822677,0.00019522928,0.00023658303,0.00019881318,0.00074731116,0.00014217806,0.00059985736,0.00010571012,0.000012680787],"category_scores_gemma":[0.0002262984,0.00023325265,0.000059635528,0.0013382043,0.00007910487,0.0004675739,0.00046972022,0.0004679988,0.0000076595425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004286294,0.00078943954,0.71034366,0.0006598215,0.00035456585,0.000019887657,0.0035463085,0.038024712,0.057481315,0.1307183,0.023629015,0.03400434],"study_design_scores_gemma":[0.0003427706,0.00000844795,0.004169228,0.00011995959,0.000024018698,0.0000023874977,0.0021963716,0.98428196,0.000046467907,0.000016286127,0.008536012,0.00025607034],"about_ca_topic_score_codex":0.17289306,"about_ca_topic_score_gemma":0.6719846,"teacher_disagreement_score":0.9462573,"about_ca_system_score_codex":0.00023934165,"about_ca_system_score_gemma":0.00015082181,"threshold_uncertainty_score":0.9511767},"labels":[],"label_agreement":null},{"id":"W3048944357","doi":"10.1007/s11277-020-07719-y","title":"Efficient Use of UAVs for Public Safety in Disaster and Crisis Management","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Cover (algebra); Task (project management); Work (physics); Square (algebra); Disaster area; Emergency management; Crisis management; Operations research; Mathematical optimization; Computer security; Systems engineering","score_opus":0.05595873226495893,"score_gpt":0.2454959522578657,"score_spread":0.18953721999290676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048944357","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":[0.5802271,0.0010136787,0.3950475,0.01927686,0.00003602839,0.0014978473,0.00034350422,0.0002041627,0.002353341],"genre_scores_gemma":[0.9785348,0.00044656737,0.02067778,0.00010049394,0.0000055112196,0.00013700295,0.0000748077,0.0000137718735,0.000009247407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995655,0.000016671665,0.00017982002,0.00009179306,0.00005766087,0.00008858014],"domain_scores_gemma":[0.99952,0.000079549754,0.000024490451,0.00029327825,0.000038411803,0.00004429518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056136945,0.00006449041,0.000095099414,0.00005542732,0.00007471087,0.000025475665,0.00017908131,0.000027570526,0.000007893074],"category_scores_gemma":[0.000006404172,0.00007008766,0.000026516682,0.00022917152,0.00004329157,0.000053105417,0.00009379183,0.000062871324,0.0000017338763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012023789,0.0009933102,0.01154117,0.0015464536,0.0004268111,8.692964e-7,0.041683618,0.4457257,0.0026600393,0.39511886,0.005577589,0.094605334],"study_design_scores_gemma":[0.00026107367,0.000007776379,0.0034596603,0.000013422856,0.000013671751,2.4468125e-7,0.0011549857,0.9852741,0.000016148753,0.000022126005,0.009698725,0.00007807087],"about_ca_topic_score_codex":0.000011803597,"about_ca_topic_score_gemma":0.000037021895,"teacher_disagreement_score":0.5395484,"about_ca_system_score_codex":0.000027321688,"about_ca_system_score_gemma":0.000004894505,"threshold_uncertainty_score":0.2858092},"labels":[],"label_agreement":null},{"id":"W3055882420","doi":"10.1007/s11277-020-07707-2","title":"Energy Cooperation with Sleep Mechanism in Renewable Energy Assisted Cellular HetNets","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"","keywords":"Heterogeneous network; Computer science; Renewable energy; Efficient energy use; Sleep mode; Femto-; Cellular network; Base station; Distributed computing; Grid; Mathematical optimization; Computer network; Wireless; Wireless network; Telecommunications; Electrical engineering; Power (physics)","score_opus":0.01994926062381341,"score_gpt":0.2107835903191292,"score_spread":0.19083432969531577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3055882420","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":[0.003722882,0.00088212563,0.98922306,0.0007762909,0.000050497703,0.00013172944,0.000020583666,0.00037754275,0.004815306],"genre_scores_gemma":[0.98928875,0.00033822423,0.009347895,0.00021824354,0.000042677064,0.00015648508,0.00037953403,0.00006520574,0.00016298862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902225,0.00011289077,0.00029468702,0.00021123311,0.00014415717,0.00021478203],"domain_scores_gemma":[0.9991124,0.000059887832,0.00006139586,0.0005548891,0.00010201541,0.00010939003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064777276,0.00019182356,0.00022507292,0.000094368435,0.00016455875,0.000044310433,0.0004199162,0.00010559725,0.000030260799],"category_scores_gemma":[0.00000898574,0.00020684194,0.000033974735,0.000587281,0.000049941373,0.0002643531,0.000081622005,0.00016940839,0.00000736669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004527431,0.0001016399,0.00007524155,0.000058154837,0.000077148936,0.000010558642,0.0021592942,0.87493676,0.08735572,0.030999435,0.00042957062,0.003751217],"study_design_scores_gemma":[0.00046292914,0.000041170533,0.000020714322,0.000052530762,0.000013367188,0.0000067895658,0.00031385728,0.9853719,0.009386518,0.00007558662,0.003999881,0.0002547832],"about_ca_topic_score_codex":0.00071858725,"about_ca_topic_score_gemma":0.005126285,"teacher_disagreement_score":0.98556584,"about_ca_system_score_codex":0.00014429745,"about_ca_system_score_gemma":0.00003949856,"threshold_uncertainty_score":0.84347695},"labels":[],"label_agreement":null},{"id":"W3083129251","doi":"10.1007/s11277-020-07793-2","title":"Correction to: Efficient Use of UAVs for Public Safety in Disaster and Crisis Management","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Disaster Response and Management","field":"Health Professions","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":"Université Laval","funders":"","keywords":"Computer science; Crisis management; Emergency management; Computer security; Operations research; Data science; Political science; Law","score_opus":0.18114301701785457,"score_gpt":0.4015409145221109,"score_spread":0.2203978975042563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083129251","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":[0.8163264,0.00022680183,0.04466831,0.117245875,0.0005710596,0.0052559115,0.00025227998,0.00012550181,0.015327903],"genre_scores_gemma":[0.9924065,0.00015143814,0.002062401,0.0035577656,0.0000191151,0.0005687611,0.000054045035,0.000017449793,0.0011625247],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865824,0.00033924502,0.00040413864,0.00021555318,0.00014335134,0.00023949909],"domain_scores_gemma":[0.9985319,0.00062808406,0.0001076221,0.0005069368,0.000093002505,0.00013245006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035635603,0.00010438233,0.00019405004,0.00014751618,0.00038388083,0.000020011048,0.0003195942,0.000040414663,0.000040855055],"category_scores_gemma":[0.0001067664,0.00010336154,0.000050540704,0.00034656303,0.000054579516,0.00009711553,0.00070377,0.00019896291,0.000025800156],"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":[0.0028603163,0.0019059335,0.029225444,0.0023433373,0.00045687365,0.000004029088,0.41726547,0.00059014047,0.0007845844,0.2139354,0.2235118,0.107116655],"study_design_scores_gemma":[0.0022797755,0.0002083457,0.046176106,0.000532513,0.00009699878,5.3929256e-7,0.1704108,0.092172034,0.000009474782,0.000084187464,0.68767756,0.00035164945],"about_ca_topic_score_codex":0.000163705,"about_ca_topic_score_gemma":0.00059086655,"teacher_disagreement_score":0.46416578,"about_ca_system_score_codex":0.000086886765,"about_ca_system_score_gemma":0.000038507416,"threshold_uncertainty_score":0.42149615},"labels":[],"label_agreement":null},{"id":"W3106848648","doi":"10.1007/s11277-020-07972-1","title":"Performance Investigation of 1.6 Tbps Hybrid WDM-PDM-OFDM-based Free Space Optics Transmission Link","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optiwave Systems (Canada)","funders":"","keywords":"Computer science; Orthogonal frequency-division multiplexing; Wavelength-division multiplexing; Electronic engineering; Bit error rate; Multiplexing; Transmission (telecommunications); Forward error correction; Quadrature amplitude modulation; Spectral efficiency; Free-space optical communication; Channel (broadcasting); Computer network; Optical communication; Telecommunications; Optics; Wavelength; Physics; Engineering","score_opus":0.03690020813525489,"score_gpt":0.23141484778155869,"score_spread":0.1945146396463038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106848648","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":[0.9129706,0.0028005096,0.024248553,0.05286075,0.000062248306,0.0005291273,0.0001327906,0.0019678944,0.0044275355],"genre_scores_gemma":[0.9450514,0.0029557957,0.05149236,0.00018068809,0.000027509064,0.00007342412,0.00014430827,0.00006123944,0.000013278651],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984907,0.00013246767,0.0005388336,0.00021854148,0.00034280884,0.00027666477],"domain_scores_gemma":[0.9968855,0.00046877563,0.00016917163,0.002085691,0.00020013028,0.00019073502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020985151,0.00026708763,0.0003502261,0.00013669168,0.0003036996,0.000038650134,0.0025656421,0.00017117115,0.000033715787],"category_scores_gemma":[0.00017641953,0.00029125315,0.00012619725,0.0006280285,0.00063757,0.00024839537,0.00036939705,0.00094836514,0.000036000845],"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":[0.00026597656,0.00065536646,0.017510999,0.004069091,0.00063002936,0.000007897815,0.01652479,0.07755326,0.4346517,0.06997222,0.006619608,0.37153906],"study_design_scores_gemma":[0.00047991576,0.00009162016,0.0016672495,0.00017609337,0.000032022723,0.0000018928588,0.00033603975,0.9122637,0.08169713,0.00024464593,0.0027022609,0.00030744512],"about_ca_topic_score_codex":0.000011781098,"about_ca_topic_score_gemma":0.0000057570983,"teacher_disagreement_score":0.8347104,"about_ca_system_score_codex":0.00008382331,"about_ca_system_score_gemma":0.00010297387,"threshold_uncertainty_score":0.999954},"labels":[],"label_agreement":null},{"id":"W3147750685","doi":"10.1007/s11277-021-08383-6","title":"An Algorithmic Approach to Identify the Optimum Network Architecture and WLAN Protocol for VoIP Application","year":2021,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","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":"Lakehead University","funders":"","keywords":"Voice over IP; Computer science; Computer network; Quality of service; Jitter; Metric (unit); Network packet; Throughput; Performance metric; Packet loss; Service (business); Internet Protocol; Network architecture; The Internet; Telecommunications; Wireless; Operating system","score_opus":0.04741092264482239,"score_gpt":0.3634968568438835,"score_spread":0.3160859341990611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147750685","genre_codex":"methods","genre_gemma":"protocol","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":[0.00014031283,0.00005252996,0.86689395,0.0070574842,0.000022583465,0.12520844,0.000015449961,0.00011409047,0.0004951597],"genre_scores_gemma":[0.05809069,0.000005222221,0.24288891,0.00087217573,0.0002570669,0.6977187,0.00006413194,0.000022736833,0.00008035492],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821836,0.00037122276,0.00028276833,0.0005247723,0.00023969171,0.0003632126],"domain_scores_gemma":[0.99664235,0.0003838648,0.00012565896,0.002439196,0.00023661721,0.00017233158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064796594,0.0001980823,0.00020565967,0.000041874882,0.0011891942,0.00054039294,0.0025812157,0.00010175471,0.0000024371843],"category_scores_gemma":[0.000017436736,0.00015909385,0.00008491764,0.00062697777,0.00014063659,0.0002303525,0.00078784843,0.00036942054,0.000005145425],"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":[0.00012750865,0.0014099105,0.0005293909,0.00033144694,0.00017140484,0.0000022050483,0.01444959,0.021824727,0.0050088465,0.47667244,0.00870954,0.47076297],"study_design_scores_gemma":[0.00054324185,0.00007719451,0.0017874624,0.00006192154,0.000011490761,0.000041963132,0.00025278638,0.89076155,0.00006677281,0.0062826164,0.099819355,0.00029366306],"about_ca_topic_score_codex":0.000027888376,"about_ca_topic_score_gemma":0.00009746576,"teacher_disagreement_score":0.8689368,"about_ca_system_score_codex":0.000035586014,"about_ca_system_score_gemma":0.00014592847,"threshold_uncertainty_score":0.914644},"labels":[],"label_agreement":null},{"id":"W3158802617","doi":"10.1007/s11277-021-08511-2","title":"A Real-time Posture Monitoring System Towards Bad Posture Detection","year":2021,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université Laval","funders":"Ecole Supérieure des Communications de Tunis","keywords":"Computer science; Android (operating system); Inertial measurement unit; Real-time computing; Mobile phone; Embedded system; Cloud server; Cloud computing; Mobile device; Human–computer interaction; Artificial intelligence; Operating system","score_opus":0.02150484705037443,"score_gpt":0.30647077845832604,"score_spread":0.2849659314079516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158802617","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":[0.92153037,0.0020709895,0.00008842644,0.0021114883,0.000595988,0.00020868902,0.000079295285,0.0002382977,0.07307648],"genre_scores_gemma":[0.9957814,0.0005378241,0.0008045093,0.00006131481,0.00016608628,0.00013901484,0.00015253718,0.000047794274,0.0023095214],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99859065,0.00031131916,0.00027654122,0.00035140282,0.00016603422,0.00030402548],"domain_scores_gemma":[0.9980186,0.00011262657,0.00011657957,0.0013992367,0.00023589093,0.000117030235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017610626,0.00020234904,0.00024778154,0.00008415762,0.0005379909,0.00007285642,0.00060474296,0.00022472706,0.00014194346],"category_scores_gemma":[0.000020818148,0.00022041643,0.00020985912,0.00033776832,0.00010667472,0.0000947493,0.00027218138,0.00047536,0.00032896516],"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":[0.0002676376,0.001498155,0.009885527,0.0002961722,0.0014782568,0.00007845987,0.03050674,0.000015953046,0.7058756,0.08941876,0.0015893104,0.15908945],"study_design_scores_gemma":[0.0016464686,0.00018568715,0.9303298,0.0003482645,0.00026732203,0.00028606484,0.04844253,0.0023389503,0.0018855067,0.00018786768,0.013079195,0.0010023337],"about_ca_topic_score_codex":0.0014657048,"about_ca_topic_score_gemma":0.00047618028,"teacher_disagreement_score":0.9204443,"about_ca_system_score_codex":0.00019323685,"about_ca_system_score_gemma":0.00011786791,"threshold_uncertainty_score":0.89883214},"labels":[],"label_agreement":null},{"id":"W3177479674","doi":"10.1007/s11277-021-08651-5","title":"Uplink Power Allocation for Throughput and Energy Efficiency in Cellular Networks","year":2021,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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 Victoria","funders":"","keywords":"Computer science; Mathematical optimization; Throughput; Telecommunications link; Maximization; Rayleigh fading; Geometric programming; Fractional programming; Signal-to-interference-plus-noise ratio; Power (physics); Cellular network; Efficient energy use; Interference (communication); Optimization problem; Fading; Algorithm; Nonlinear programming; Wireless; Computer network; Mathematics; Telecommunications; Decoding methods","score_opus":0.015131434651067244,"score_gpt":0.24046910090563142,"score_spread":0.22533766625456417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177479674","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":[0.010148402,0.008084018,0.97973865,0.00034873496,0.00010575494,0.000115615534,0.000008165895,0.00010561493,0.001345064],"genre_scores_gemma":[0.9853108,0.0014526984,0.012634771,0.000048437327,0.00002517019,0.0001435335,0.00021439999,0.000031932403,0.00013827883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936587,0.000042985506,0.00021960927,0.00015324747,0.000054001728,0.0001642612],"domain_scores_gemma":[0.99918807,0.00015436087,0.00002919672,0.00048467302,0.000105946936,0.000037754467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010293323,0.00010785397,0.00013820524,0.00005301285,0.00013874768,0.000029343715,0.00019151464,0.00008915749,0.000006730172],"category_scores_gemma":[0.000020671685,0.00013129199,0.00003290089,0.00026537373,0.000055401422,0.00013251505,0.000073896816,0.00012614441,0.0000011971139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106514335,0.00018157143,0.0004823023,0.00010400636,0.000055368004,0.0000027125475,0.0036861347,0.884718,0.016200691,0.08153298,0.0002959633,0.01272965],"study_design_scores_gemma":[0.00026284432,0.000008720039,0.00010668559,0.000048968774,0.0000075986977,0.00000561735,0.00043931292,0.99646485,0.0005627931,0.00012896801,0.0018219362,0.0001416876],"about_ca_topic_score_codex":0.000024515324,"about_ca_topic_score_gemma":0.0002747514,"teacher_disagreement_score":0.9751624,"about_ca_system_score_codex":0.00008172998,"about_ca_system_score_gemma":0.000028638333,"threshold_uncertainty_score":0.53539324},"labels":[],"label_agreement":null},{"id":"W318841307","doi":"10.1023/a:1008927121322","title":"Simple and Efficient Techniques to Implement a Self-Reconfigurable ARQ System in a Slowly Varying Mobile Radio Environment","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"University of Victoria; Indian Institute of Science","keywords":"Computer science; Channel (broadcasting); Interval (graph theory); Network packet; Algorithm; Real-time computing; Computer network; Mathematics","score_opus":0.020965741718315622,"score_gpt":0.28204085615281593,"score_spread":0.2610751144345003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W318841307","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":[0.90497917,0.0054454263,0.048428852,0.008460483,0.00006585732,0.006121625,0.000087701126,0.0017725407,0.024638321],"genre_scores_gemma":[0.96138376,0.0014545817,0.034909286,0.0001676785,0.00001922285,0.0018978952,0.000027364045,0.000027258691,0.00011293366],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99724096,0.0005703015,0.00056241313,0.00055052043,0.00048534002,0.0005904875],"domain_scores_gemma":[0.99601716,0.0004662473,0.00009853782,0.0030808072,0.0000685864,0.00026864334],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010760934,0.00025113983,0.0003301378,0.0003054627,0.00069336477,0.00026451575,0.0033493314,0.00009249229,0.00009881762],"category_scores_gemma":[0.000007926863,0.00026932327,0.000074961106,0.00074093306,0.00010813649,0.0002370011,0.0011545299,0.00050243293,0.000117691394],"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":[0.00008007265,0.0024564357,0.0023370497,0.0002495311,0.00019305975,0.000025580559,0.037077803,0.013161243,0.006313033,0.07951172,0.0015512281,0.85704327],"study_design_scores_gemma":[0.0005491033,0.00015762357,0.0018874335,0.00019515867,0.000010622527,0.00004872315,0.000775247,0.91708195,0.00079420983,0.000082086066,0.07793056,0.00048725808],"about_ca_topic_score_codex":0.00049624586,"about_ca_topic_score_gemma":0.000111665286,"teacher_disagreement_score":0.9039207,"about_ca_system_score_codex":0.00065986306,"about_ca_system_score_gemma":0.0001285168,"threshold_uncertainty_score":0.9999759},"labels":[],"label_agreement":null},{"id":"W3198009227","doi":"10.1007/s11277-021-09009-7","title":"Fuzzy Routing Protocol for D2D Communications Based on Probabilistic Normed Spaces","year":2021,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Francis Xavier University","funders":"","keywords":"Computer science; Path vector protocol; Probabilistic logic; Routing protocol; Shortest path problem; Node (physics); Routing (electronic design automation); Protocol (science); Computer network; Metric (unit); Fuzzy logic; Stability (learning theory); Path (computing); Metric space; Set (abstract data type); Distributed computing; Mathematical optimization; Wireless Routing Protocol; Theoretical computer science; Artificial intelligence; Mathematics; Machine learning; Discrete mathematics","score_opus":0.06864362942295127,"score_gpt":0.3380428857664586,"score_spread":0.2693992563435073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198009227","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":[0.00070677407,0.00021022576,0.65281796,0.093656205,0.0002775113,0.17934214,0.00016469375,0.0014173419,0.07140712],"genre_scores_gemma":[0.54459745,0.0000094651405,0.15072963,0.0010265667,0.000060522456,0.30312544,0.00013441092,0.00003547175,0.00028106364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975582,0.0005827283,0.00048578976,0.0005306001,0.00038522706,0.00045748282],"domain_scores_gemma":[0.98969424,0.0025982328,0.00027734204,0.006656201,0.00061315164,0.00016082171],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006338281,0.00026309962,0.00029904253,0.00009623707,0.0013957086,0.00041935916,0.00511403,0.00012665396,0.00001884516],"category_scores_gemma":[0.00020705172,0.000274747,0.00020074227,0.00083384104,0.00035586196,0.00030869097,0.0015327906,0.0005571281,0.00003726605],"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":[0.000054888642,0.0022276782,0.00083978724,0.00020299296,0.00007926368,0.000004422041,0.0028125218,0.0014568145,0.000610955,0.935266,0.0036161272,0.052828524],"study_design_scores_gemma":[0.0010113878,0.00010277782,0.0003379425,0.00025353508,0.000016970378,0.000008761978,0.00022475408,0.9575814,0.00013540963,0.0033309923,0.036667287,0.00032877224],"about_ca_topic_score_codex":0.000034773224,"about_ca_topic_score_gemma":0.000509562,"teacher_disagreement_score":0.9561246,"about_ca_system_score_codex":0.00021078678,"about_ca_system_score_gemma":0.0007404489,"threshold_uncertainty_score":0.9999705},"labels":[],"label_agreement":null},{"id":"W3203493630","doi":"10.1007/s11277-021-09184-7","title":"Belief Propagation Polar Decoding for Wireless Communication Systems with Noisy Channel Estimates","year":2021,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":4,"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 Windsor","funders":"","keywords":"Computer science; Channel (broadcasting); Decoding methods; Compensation (psychology); Rayleigh fading; Belief propagation; Polar code; Reliability (semiconductor); Fading; Polar; Algorithm; Wireless; Bit error rate; Variance (accounting); Telecommunications; Physics","score_opus":0.039338300823494675,"score_gpt":0.2927337213077523,"score_spread":0.25339542048425767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203493630","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":[0.03341964,0.0027518072,0.95339483,0.0067826696,0.00015711405,0.0010024422,0.00004330629,0.0011719335,0.0012762609],"genre_scores_gemma":[0.7974249,0.0002849336,0.20104164,0.0001367018,0.00002967064,0.00068822945,0.00022302114,0.000039756327,0.00013117152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980039,0.00032418987,0.00043270396,0.00048906915,0.00036828365,0.00038186344],"domain_scores_gemma":[0.99445754,0.0009866663,0.0003514212,0.0030150048,0.0010773612,0.00011202564],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007038134,0.00026948578,0.00033500165,0.00016826969,0.0013762256,0.00047974312,0.002740051,0.00013235553,0.0000020488137],"category_scores_gemma":[0.00013769587,0.0002722338,0.00010318795,0.00078884984,0.00019840896,0.00079144456,0.0008746191,0.0004229574,0.000009705098],"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":[0.000088418725,0.0016716521,0.0054984656,0.0006710952,0.00043859883,0.000017077706,0.0276075,0.0008642848,0.029981753,0.87928134,0.0022632035,0.05161659],"study_design_scores_gemma":[0.00041323734,0.00010787179,0.00041790592,0.00057933945,0.00004380659,0.00013914857,0.0013147112,0.98849446,0.0059592933,0.0011880092,0.00090319547,0.0004390309],"about_ca_topic_score_codex":0.00030863818,"about_ca_topic_score_gemma":0.0006047213,"teacher_disagreement_score":0.9876302,"about_ca_system_score_codex":0.00022630962,"about_ca_system_score_gemma":0.00034436176,"threshold_uncertainty_score":0.999973},"labels":[],"label_agreement":null},{"id":"W3209090193","doi":"10.1007/s11277-021-09215-3","title":"Union Bound on the Bit Error Rate for MIMO-GFDM Systems","year":2021,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Computer science; Bit (key); Bit error rate; MIMO; Upper and lower bounds; Algorithm; Theoretical computer science; Telecommunications; Computer engineering; Computer network; Mathematics; Decoding methods; Beamforming","score_opus":0.06996013307487746,"score_gpt":0.29265443659826873,"score_spread":0.22269430352339126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209090193","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":[0.8359957,0.013799747,0.01654447,0.06319778,0.0043871207,0.0022874407,0.00082589773,0.0015901892,0.061371703],"genre_scores_gemma":[0.9964934,0.00038847115,0.000370068,0.00014441877,0.00012362853,0.00043964383,0.0001313008,0.00004401976,0.0018650466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990903,0.00022224318,0.00021177264,0.00014216888,0.00013493167,0.00019859018],"domain_scores_gemma":[0.997901,0.0006661307,0.00004449845,0.0011738577,0.0001583223,0.00005614943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034629504,0.00013749587,0.00014528725,0.000053221447,0.0005728184,0.000115819996,0.0005879781,0.00007325271,0.000042358803],"category_scores_gemma":[0.00006536398,0.00012169359,0.00009782459,0.0002724534,0.00013313856,0.00008213104,0.00008745844,0.00029804354,0.000086848224],"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":[0.00005834607,0.00057342794,0.00019256512,0.00055541325,0.00095058716,0.000006692076,0.008582451,0.036385648,0.12118154,0.69406724,0.13093351,0.0065125898],"study_design_scores_gemma":[0.00051507086,0.000043405184,0.0006394107,0.00023733957,0.00006435064,0.000045039124,0.006582522,0.4520357,0.004067211,0.000655131,0.53467596,0.0004388622],"about_ca_topic_score_codex":0.000027667591,"about_ca_topic_score_gemma":0.00006011283,"teacher_disagreement_score":0.6934121,"about_ca_system_score_codex":0.00013799456,"about_ca_system_score_gemma":0.00006654124,"threshold_uncertainty_score":0.49625206},"labels":[],"label_agreement":null},{"id":"W359656693","doi":"10.1007/s11277-015-2327-0","title":"DNACK: False Data Detection Based on Negative Acknowledgment and Digital Signature on Mobile Ad-hoc Network","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia","keywords":"Computer science; Network packet; Intrusion detection system; Digital signature; Mobile ad hoc network; Computer network; Throughput; Packet drop attack; Flooding (psychology); Wireless ad hoc network; Signature (topology); False positive rate; Computer security; Routing protocol; Wireless; Artificial intelligence; Telecommunications","score_opus":0.05080773827731543,"score_gpt":0.28864757518108863,"score_spread":0.2378398369037732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W359656693","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":[0.17556293,0.034296792,0.7146499,0.021525951,0.0037723996,0.0085555045,0.001252671,0.003314053,0.037069786],"genre_scores_gemma":[0.99206716,0.00022270188,0.0064403354,0.00059671985,0.00013226154,0.00019453153,0.00018415619,0.000025754636,0.0001363977],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813664,0.0002689734,0.00024425721,0.0005965324,0.00042718893,0.00032641614],"domain_scores_gemma":[0.994867,0.0008551421,0.00014891037,0.0036764103,0.00020311966,0.00024936703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004579197,0.000245639,0.00021891837,0.0000809229,0.0004728901,0.00036594862,0.003010692,0.00013916208,0.0000073699043],"category_scores_gemma":[0.000091376955,0.00023450874,0.000050777573,0.00054053334,0.00021780969,0.00069518806,0.0016696957,0.00067667756,0.00008694158],"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":[0.00028665765,0.0013397749,0.0004215197,0.000026407548,0.00012429919,0.00001123133,0.0046194713,0.02095315,0.00010139285,0.01192906,0.022606837,0.9375802],"study_design_scores_gemma":[0.0006459536,0.0005026385,0.00038216673,0.00011621853,0.0000129407545,0.0000048092684,0.00029541264,0.9444305,0.000046842706,0.00070312497,0.05257257,0.00028684235],"about_ca_topic_score_codex":0.0000072252797,"about_ca_topic_score_gemma":0.000270047,"teacher_disagreement_score":0.93729335,"about_ca_system_score_codex":0.00017565908,"about_ca_system_score_gemma":0.00016487278,"threshold_uncertainty_score":0.9562989},"labels":[],"label_agreement":null},{"id":"W363332807","doi":"10.1007/s11277-015-2726-2","title":"Navigation Data-Assisted Opportunistic Spectrum Scheduling for Network-Based UAV Systems: A Parallel Restless Bandits Formulation","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Scheduling (production processes); Real-time computing; Distributed computing; Mathematical optimization","score_opus":0.15744748804672287,"score_gpt":0.3244174627848363,"score_spread":0.16696997473811342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W363332807","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":[0.0070521627,0.0018048779,0.9874625,0.00055031484,0.00045849648,0.0010703048,0.00037187434,0.00068652164,0.0005429145],"genre_scores_gemma":[0.8988095,0.00016373709,0.08554579,0.00003635537,0.00031730963,0.00038573952,0.014589493,0.000104092105,0.000047987174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808234,0.00014730665,0.0006109919,0.0003571957,0.00034373754,0.0004584258],"domain_scores_gemma":[0.9969323,0.00047137673,0.0002371052,0.0018303164,0.00030182532,0.00022703876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00065352407,0.00029538962,0.00035738302,0.0001145803,0.0004882981,0.00014742698,0.0010642745,0.00018647237,0.0000041396734],"category_scores_gemma":[0.00008150853,0.00034227516,0.00007091706,0.0004964799,0.00009500937,0.00060707796,0.000177602,0.00032894532,0.000013542645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050406026,0.00005343739,0.0002584785,0.000115319766,0.000061401755,0.0000011954011,0.00014376479,0.9856952,0.000060762748,0.010988166,0.0009861813,0.001585723],"study_design_scores_gemma":[0.0010423649,0.000037004713,0.00020824907,0.00028758438,0.00008896566,0.00000970192,0.00023510904,0.9929097,0.0000069996167,0.00046030994,0.004340231,0.00037374638],"about_ca_topic_score_codex":0.000035986544,"about_ca_topic_score_gemma":0.00014511231,"teacher_disagreement_score":0.90191674,"about_ca_system_score_codex":0.00037973945,"about_ca_system_score_gemma":0.00020836049,"threshold_uncertainty_score":0.9999029},"labels":[],"label_agreement":null},{"id":"W381399826","doi":"10.1007/s11277-015-2764-9","title":"Energy Efficient Relay Positioning and Power Allocation for Multi-Relay Symmetric Channel with Analog Network Coding","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"New York Institute of Technology","funders":"National Natural Science Foundation of China","keywords":"Computer science; Relay; Linear network coding; Relay channel; Coding (social sciences); Power (physics); Energy (signal processing); Computer network; Channel code; Channel (broadcasting); Topology (electrical circuits); Telecommunications; Decoding methods; Electrical engineering; Mathematics","score_opus":0.07639609539584467,"score_gpt":0.29652252467672685,"score_spread":0.22012642928088216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W381399826","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":[0.0073679676,0.0053408993,0.98086596,0.0042006955,0.00011522121,0.00033017577,0.00000734081,0.00017771195,0.0015940373],"genre_scores_gemma":[0.910349,0.000882896,0.0878072,0.000471356,0.000040267038,0.00020541922,0.00007369559,0.000022208802,0.00014793611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983759,0.00032543458,0.00031217822,0.00038182418,0.0002587214,0.00034597042],"domain_scores_gemma":[0.9971668,0.0005015755,0.00020085213,0.0012657266,0.0006477762,0.00021727245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007910879,0.00021279302,0.00023358421,0.00021374958,0.0012367525,0.00025447138,0.0013648145,0.000085001,0.0000019975662],"category_scores_gemma":[0.00006597921,0.0002018452,0.00006056138,0.0012063804,0.00019764577,0.00030133073,0.0007498812,0.00026297808,0.0000044099947],"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":[0.000058295853,0.00042633156,0.0005595224,0.000015624448,0.00014530096,0.0000017760632,0.010059327,0.023033164,0.00028843374,0.9443919,0.0013006763,0.019719621],"study_design_scores_gemma":[0.0008877327,0.00014567543,0.0008766565,0.0001228158,0.000022260532,0.00002555495,0.00055491395,0.99430466,0.000037875383,0.000117861084,0.002620424,0.00028358633],"about_ca_topic_score_codex":0.000037403635,"about_ca_topic_score_gemma":0.00023088467,"teacher_disagreement_score":0.97127146,"about_ca_system_score_codex":0.0001640373,"about_ca_system_score_gemma":0.00016167443,"threshold_uncertainty_score":0.95122254},"labels":[],"label_agreement":null},{"id":"W40984654","doi":"10.1023/a:1008928126443","title":"Performance of a Multiple-Antenna Multiple-Equalizer System for a CDMA Indoor Wireless System","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Code division multiple access; Equalization (audio); Code (set theory); Adaptation (eye); Telecommunications; Channel (broadcasting)","score_opus":0.050753107840351204,"score_gpt":0.2966589386311441,"score_spread":0.24590583079079292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W40984654","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":[0.9259933,0.0014836492,0.062013935,0.0020613014,0.00022801281,0.0026492586,0.00025597992,0.0010737627,0.0042407834],"genre_scores_gemma":[0.9736887,0.00064967526,0.02340441,0.00006212059,0.00007698603,0.0014511283,0.00012478454,0.000075165466,0.0004670137],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953183,0.0009269681,0.0012474211,0.0007298047,0.0009199599,0.00085755263],"domain_scores_gemma":[0.98935544,0.0028558685,0.0005153133,0.006004254,0.0009657757,0.00030332414],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0015074285,0.00045558982,0.0008062836,0.00036201352,0.0013137393,0.00022213485,0.009050688,0.00027013008,0.000019829029],"category_scores_gemma":[0.00008742788,0.00045547582,0.0003780378,0.001399558,0.00061250554,0.0008112689,0.0013681381,0.00071327895,0.0001139058],"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":[0.0020505271,0.0037120788,0.05550057,0.0072921575,0.0014208263,0.000019475387,0.028227681,0.0018921187,0.031732734,0.26450035,0.0016754738,0.601976],"study_design_scores_gemma":[0.0018769364,0.00014563648,0.0027547325,0.00090906874,0.000029589512,0.000059579113,0.0013856923,0.9887312,0.0008078916,0.0000066072726,0.0028256131,0.00046741808],"about_ca_topic_score_codex":0.0003817427,"about_ca_topic_score_gemma":0.00022675801,"teacher_disagreement_score":0.9868391,"about_ca_system_score_codex":0.00045331128,"about_ca_system_score_gemma":0.0003874547,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W4220709734","doi":"10.1007/s11277-022-09554-9","title":"Design and Implementation of a Quantitative Network Health Monitoring and Recovery System","year":2022,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Vulnerability (computing); Field (mathematics); Computer security; Network monitoring; Network security; Network architecture; Identification (biology); Vulnerability assessment; Computer network","score_opus":0.05393834187985609,"score_gpt":0.3223264732615574,"score_spread":0.2683881313817013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220709734","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":[0.36905953,0.012421193,0.6127252,0.0042363172,0.00042455393,0.00082475523,0.000022469341,0.000163928,0.00012203581],"genre_scores_gemma":[0.93225265,0.00096903625,0.066620626,0.000042018277,0.000016001859,0.00008580188,0.000004644367,0.000004586877,0.000004628293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987556,0.00060377823,0.00021164265,0.00014989369,0.00015523653,0.00012390057],"domain_scores_gemma":[0.9990739,0.00030921734,0.00019219202,0.00033598873,0.000045715435,0.00004297909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007842197,0.00006279247,0.00012529241,0.00006373241,0.001077036,0.00004307709,0.000364668,0.000014222559,0.0000031882012],"category_scores_gemma":[0.00000295556,0.00007257201,0.000019741738,0.00032008011,0.00005526892,0.00021873668,0.0006224601,0.00016685596,3.5235826e-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":[0.000101728685,0.00015197646,0.0034236747,0.00022350506,0.00014879598,0.0000017436332,0.06345645,0.004470461,0.0014159378,0.5154403,0.00086088874,0.41030455],"study_design_scores_gemma":[0.00059701223,0.0011191722,0.00860245,0.00014846034,0.0000161562,0.00007688701,0.025557829,0.9598653,0.00023762755,0.0020413809,0.0014845195,0.0002532617],"about_ca_topic_score_codex":0.0003798369,"about_ca_topic_score_gemma":0.000037479807,"teacher_disagreement_score":0.9553948,"about_ca_system_score_codex":0.00009648864,"about_ca_system_score_gemma":0.000082721446,"threshold_uncertainty_score":0.8283799},"labels":[],"label_agreement":null},{"id":"W4220797235","doi":"10.1007/s11277-022-09596-z","title":"Home Security System Using Wireless Sensors Network","year":2022,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Android (operating system); Java; Python (programming language); Client-side; Home security; Intrusion detection system; Embedded system; Android application; Operating system; Raspberry pi; Server-side; Wireless network; Computer security; Wireless; Internet of Things","score_opus":0.023102618133120496,"score_gpt":0.23573234494507236,"score_spread":0.21262972681195186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220797235","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":[0.9901461,0.0021775933,0.00060494035,0.00017249698,0.0010828784,0.00042885027,0.00024971287,0.0010417078,0.00409572],"genre_scores_gemma":[0.9986759,0.00004177111,0.00041813173,0.00003535911,0.00026475516,0.00022261396,0.00014934651,0.00011314139,0.0000790118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765986,0.00056752097,0.00047544268,0.0002637061,0.00048674562,0.0005466934],"domain_scores_gemma":[0.9978606,0.00023509667,0.00011528498,0.0015550095,0.00008732008,0.00014665117],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00062756566,0.00028535593,0.00041030382,0.00015696988,0.0016843673,0.000072660754,0.0012402956,0.00009491511,0.00006996619],"category_scores_gemma":[0.000004349273,0.0003566031,0.00017748437,0.00083594257,0.0001427206,0.00014001153,0.00057998515,0.0009108782,0.000050663133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009858836,0.00052367325,0.014046156,0.0018979429,0.0013473724,0.00011114145,0.03471926,0.8442259,0.011024717,0.07522567,0.014815431,0.0019641719],"study_design_scores_gemma":[0.00032887293,0.000021346521,0.0003633953,0.00010151313,0.000054501226,0.0001484809,0.0064524435,0.9804111,0.000036123176,0.00003499041,0.011579261,0.00046797292],"about_ca_topic_score_codex":0.00029106712,"about_ca_topic_score_gemma":0.00010055117,"teacher_disagreement_score":0.13618523,"about_ca_system_score_codex":0.0010088811,"about_ca_system_score_gemma":0.00009745555,"threshold_uncertainty_score":0.9998886},"labels":[],"label_agreement":null},{"id":"W4248616620","doi":"10.1007/s11277-012-0512-y","title":"Guest Editorial: Special Issue on Wireless Personal Multimedia Communications","year":2012,"lang":"en","type":"editorial","venue":"Wireless Personal Communications","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Computer science; Multimedia; Wireless; Telecommunications","score_opus":0.02634523014882214,"score_gpt":0.28243209288192067,"score_spread":0.25608686273309855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248616620","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":[0.00028846925,0.0049824393,0.00003144248,0.0018995224,0.96785396,0.0008622121,0.002970348,0.0030151303,0.018096447],"genre_scores_gemma":[0.015519958,0.01805239,0.004177038,0.000039410967,0.9523717,0.0008864522,0.0076225395,0.00041077897,0.0009197089],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947947,0.00050717057,0.0012474757,0.00070162525,0.0015463663,0.001202658],"domain_scores_gemma":[0.9843057,0.004835678,0.00050756376,0.009128891,0.0008550264,0.00036713397],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0009093477,0.0012191808,0.0012288586,0.0006699698,0.0017962552,0.0003663154,0.010591419,0.0026754495,0.00025786326],"category_scores_gemma":[0.0007175619,0.0013559501,0.00051874423,0.00093894755,0.0017559717,0.00044522586,0.0028348172,0.0074381907,0.0014902696],"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":[0.000023771048,0.0005524253,0.0000250964,0.00012949461,0.000286486,0.0000012773148,0.0022647576,0.000006926081,0.00012246275,0.0002799395,0.970433,0.025874384],"study_design_scores_gemma":[0.0006392253,0.0000893775,0.000035703484,0.0004982162,0.00022443982,0.000005957953,0.00093903166,0.009243404,0.000055878296,0.00004182855,0.9869024,0.0013245111],"about_ca_topic_score_codex":0.00028958166,"about_ca_topic_score_gemma":0.00087150495,"teacher_disagreement_score":0.024549872,"about_ca_system_score_codex":0.0010173175,"about_ca_system_score_gemma":0.0004232532,"threshold_uncertainty_score":0.99950325},"labels":[],"label_agreement":null},{"id":"W4283647201","doi":"10.1007/s11277-022-09905-6","title":"PECDF-CMRP: A Power-Efficient Compressive Data Fusion and Cluster-Based Multi-hop Relay-Assisted Routing Protocol for IoT Sensor Networks","year":2022,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Relay; Computer network; Wireless sensor network; Hop (telecommunications); Routing protocol; Default gateway; Energy consumption; Dissemination; Routing (electronic design automation); Telecommunications; Power (physics); Electrical engineering","score_opus":0.08858611968474853,"score_gpt":0.3351197420617907,"score_spread":0.24653362237704216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283647201","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":[0.014365813,0.00023368157,0.92972136,0.0063611423,0.00031728923,0.04773401,0.0003544969,0.0006437998,0.00026839768],"genre_scores_gemma":[0.75975883,0.000004948175,0.17295875,0.00070682465,0.00006033185,0.065824516,0.00048633973,0.00007223497,0.00012719484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99551904,0.0011354542,0.0007287406,0.0011759171,0.000697057,0.00074376113],"domain_scores_gemma":[0.992213,0.0018732799,0.0006377411,0.004708523,0.00032701294,0.00024043945],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001246168,0.00043010907,0.00045877442,0.00022897562,0.0037073859,0.00033773156,0.005716346,0.00015132372,0.000020500964],"category_scores_gemma":[0.00011211448,0.00045434426,0.00015630834,0.0009107209,0.00037174957,0.00017280648,0.007890198,0.0010277723,0.000003004425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030045424,0.0021904411,0.0003172164,0.00006647935,0.00008377422,0.000012611043,0.002744303,0.97289455,0.00083368446,0.007686283,0.0015194471,0.0113507435],"study_design_scores_gemma":[0.0031169122,0.00018424391,0.00069563824,0.00014012025,0.000027130243,0.000048702692,0.0008378181,0.98333085,0.00002317727,0.0000047666986,0.011078081,0.00051256205],"about_ca_topic_score_codex":0.0000978166,"about_ca_topic_score_gemma":0.00012679418,"teacher_disagreement_score":0.7567626,"about_ca_system_score_codex":0.00026656865,"about_ca_system_score_gemma":0.00029427736,"threshold_uncertainty_score":0.99979085},"labels":[],"label_agreement":null},{"id":"W4295827788","doi":"10.1007/s11277-022-09943-0","title":"Polynomial Expansion-Based MMSE Channel Estimation and Precoding for Massive MIMO-GFDM Systems","year":2022,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"China Scholarship Council","keywords":"Minimum mean square error; Precoding; Estimator; Polynomial expansion; Mean squared error; Cramér–Rao bound; Computational complexity theory; MIMO; Polynomial; Computer science; Algorithm; Orthogonality; Channel (broadcasting); Interference (communication); Benchmark (surveying); Mathematics; Telecommunications; Statistics; Geometry","score_opus":0.033976831945992644,"score_gpt":0.2638275984638788,"score_spread":0.22985076651788616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295827788","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":[0.87335557,0.007668161,0.09902578,0.007978379,0.003075107,0.0032334744,0.0016475279,0.001535688,0.002480326],"genre_scores_gemma":[0.9946726,0.00005810767,0.003040607,0.000039380495,0.00007262356,0.0017066924,0.00024831796,0.000043017437,0.00011866359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999156,0.000088805464,0.00023614685,0.0001619793,0.00016696242,0.00019008004],"domain_scores_gemma":[0.9989812,0.00031275212,0.00007329367,0.000498877,0.000060461767,0.00007345387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021120139,0.00013777876,0.00016291597,0.00015097656,0.0009260951,0.000059789723,0.0003826813,0.000048103066,0.00002114503],"category_scores_gemma":[0.000029448349,0.00017137527,0.0000610835,0.0001741202,0.00008496495,0.0001269378,0.00013362122,0.00025732155,0.0000042977367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009620903,0.00018964312,0.00012479868,0.00038990873,0.00016089951,0.0000013536613,0.0072930465,0.94707423,0.012173667,0.0013859596,0.018713351,0.012396942],"study_design_scores_gemma":[0.00044564053,0.000038895276,0.000092399314,0.000034945737,0.000025275504,0.000014194094,0.0024674498,0.989154,0.00024220084,0.000024508714,0.007276039,0.00018445402],"about_ca_topic_score_codex":0.000049550537,"about_ca_topic_score_gemma":0.00000945383,"teacher_disagreement_score":0.12131704,"about_ca_system_score_codex":0.0002709967,"about_ca_system_score_gemma":0.00006540993,"threshold_uncertainty_score":0.7122869},"labels":[],"label_agreement":null},{"id":"W4297337881","doi":"10.1007/s11277-022-10011-w","title":"Robust and Sparse Dual Tree Complex Wavelet Transform-Based Twin Support Vector Regression for 5G InH and V2I Communications","year":2022,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Non-line-of-sight propagation; Path loss; Multipath propagation; Standard deviation; Algorithm; Telecommunications; Mathematics; Statistics; Wireless","score_opus":0.07506526765715917,"score_gpt":0.27994438262120924,"score_spread":0.2048791149640501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297337881","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":[0.2020319,0.020336797,0.6534019,0.058219105,0.0010712021,0.015008194,0.010903109,0.004665542,0.03436225],"genre_scores_gemma":[0.9544806,0.0005182666,0.04177833,0.000120999124,0.000023727422,0.00095218077,0.001896071,0.00007476119,0.00015504543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875814,0.0001751179,0.00039585467,0.00023237626,0.00017345436,0.0002650727],"domain_scores_gemma":[0.99797976,0.00044977549,0.00010027201,0.0012542558,0.00009599495,0.000119952616],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003015877,0.00023267891,0.00029658794,0.00016030612,0.0012818823,0.000050747916,0.0006287813,0.000074957075,0.0000679273],"category_scores_gemma":[0.000021730084,0.00026406092,0.00007090884,0.00027808215,0.00029138368,0.00020433741,0.00020082391,0.00041079702,0.0000019794716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001260174,0.003984038,0.007003771,0.003914951,0.0014719346,0.000024897403,0.09345184,0.39999136,0.09093959,0.08184656,0.032456998,0.2836539],"study_design_scores_gemma":[0.001472153,0.000110143585,0.0010222641,0.00005705106,0.000054409953,0.000039561644,0.0017680962,0.9629779,0.00014873582,0.00008187774,0.031907488,0.0003603531],"about_ca_topic_score_codex":0.000048407102,"about_ca_topic_score_gemma":0.00045690837,"teacher_disagreement_score":0.75244874,"about_ca_system_score_codex":0.00017747967,"about_ca_system_score_gemma":0.00006971544,"threshold_uncertainty_score":0.99998116},"labels":[],"label_agreement":null},{"id":"W4307156964","doi":"10.1007/s11277-022-09970-x","title":"A Lossless Distributed Data Compression and Aggregation Methods for Low Resources Wireless Sensors Platforms","year":2022,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Computer science; Network packet; Wireless sensor network; Redundancy (engineering); Data aggregator; Lossless compression; Computer network; Energy consumption; Data redundancy; Wireless; Real-time computing; Data compression; Lossy compression; Bandwidth (computing); Distributed computing; Efficient energy use; Database; Telecommunications; Algorithm","score_opus":0.05927304702220848,"score_gpt":0.34042297273131217,"score_spread":0.2811499257091037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307156964","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":[0.33925283,0.0014729579,0.6543843,0.0028596723,0.00026451403,0.0006307263,0.00065657054,0.00036091777,0.00011747134],"genre_scores_gemma":[0.8676107,0.00022905166,0.12950413,0.00020540446,0.000048775815,0.00029467297,0.001960981,0.000042253723,0.00010403777],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968577,0.00066047395,0.0005427788,0.0009024227,0.00051500037,0.0005216347],"domain_scores_gemma":[0.99313474,0.0019814684,0.00041980625,0.004067766,0.00020099519,0.00019522368],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0015077823,0.00032034857,0.00041740554,0.0002090546,0.0029064172,0.00030245804,0.0060208086,0.00011743277,0.000011828027],"category_scores_gemma":[0.00008600334,0.00032715237,0.00010345645,0.00089802657,0.0004019773,0.00064493,0.0071294643,0.00068297563,0.0000022640368],"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":[0.0003987236,0.0022175803,0.0020698134,0.00031691257,0.0004680411,0.00001894981,0.021610705,0.07067165,0.008479413,0.21996124,0.005549122,0.66823786],"study_design_scores_gemma":[0.0007162059,0.000071931274,0.0005024423,0.000077294535,0.00003033258,0.000054148815,0.0011550992,0.9753985,0.000299247,0.0005626139,0.020727137,0.00040504188],"about_ca_topic_score_codex":0.00011822955,"about_ca_topic_score_gemma":0.000058487578,"teacher_disagreement_score":0.90472686,"about_ca_system_score_codex":0.00016872676,"about_ca_system_score_gemma":0.00010379784,"threshold_uncertainty_score":0.99991804},"labels":[],"label_agreement":null},{"id":"W4322503064","doi":"10.1007/s11277-023-10187-9","title":"Energy and Latency Efficient Caching in Mobile Edge Networks: Survey, Solutions, and Challenges","year":2023,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cache; Computer network; Base station; Enhanced Data Rates for GSM Evolution; Wireless; Wireless network; Mobile device; Latency (audio); Efficient energy use; Edge computing; Telecommunications; Operating system","score_opus":0.07933215785684548,"score_gpt":0.2658035410488182,"score_spread":0.1864713831919727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322503064","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":[0.8738801,0.10796118,0.012029383,0.0050158557,0.0001605725,0.00016835105,0.00002472128,0.00032365022,0.00043622876],"genre_scores_gemma":[0.93571484,0.063948035,0.00011000559,0.000060852395,0.000013874157,0.00006151063,0.000028443963,0.000007634106,0.000054804943],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879503,0.00039500336,0.00016806633,0.0002682556,0.000120815326,0.0002528076],"domain_scores_gemma":[0.9984308,0.0007397252,0.000045444107,0.0006555116,0.000057424593,0.0000711007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008544387,0.000106925654,0.00014177943,0.0001691627,0.00048747114,0.000094090436,0.0006574697,0.00005504521,6.968382e-7],"category_scores_gemma":[0.000024763758,0.00011157355,0.000025464326,0.0004794627,0.000120657714,0.00013292866,0.00082396856,0.00018541931,0.0000031450559],"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":[0.000032610737,0.0008391951,0.030719135,0.00015760987,0.00012987266,0.00003248894,0.03532723,0.017376289,0.0005091953,0.20153545,0.0009360928,0.71240485],"study_design_scores_gemma":[0.00017651523,0.000022708238,0.044780195,0.00005930271,0.0000031759832,0.000010645398,0.00053249963,0.9531627,7.966574e-7,0.000117956966,0.000991912,0.00014153367],"about_ca_topic_score_codex":0.0012945493,"about_ca_topic_score_gemma":0.005343624,"teacher_disagreement_score":0.9357865,"about_ca_system_score_codex":0.00003309094,"about_ca_system_score_gemma":0.000042597607,"threshold_uncertainty_score":0.45498374},"labels":[],"label_agreement":null},{"id":"W4360956566","doi":"10.1007/s11277-023-10281-y","title":"Wireless Powered UAV-Enabled Communications over Mixed LoS and NLoS Channels","year":2023,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":4,"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 Saskatchewan","funders":"","keywords":"Non-line-of-sight propagation; Computer science; Nakagami distribution; Rayleigh fading; Wireless; Fading; Relay; Shadow mapping; Channel (broadcasting); Monte Carlo method; Real-time computing; Electronic engineering; Telecommunications; Power (physics)","score_opus":0.028320903774318923,"score_gpt":0.2641237586167443,"score_spread":0.23580285484242539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360956566","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":[0.94513667,0.0051072477,0.010571154,0.009961507,0.0004806533,0.0020343442,0.00082534313,0.004190366,0.02169269],"genre_scores_gemma":[0.98683274,0.00816296,0.0025529624,0.00010058162,0.000050788018,0.0005877416,0.0010527814,0.000088200024,0.0005712485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986018,0.000119412354,0.00040435043,0.0002687113,0.00022474382,0.0003810141],"domain_scores_gemma":[0.9968298,0.00035453748,0.00008367997,0.0024115937,0.00015607424,0.00016428398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026380256,0.00026553098,0.00028297672,0.00028169106,0.00084221456,0.00015202163,0.001320651,0.00016958962,0.00006796724],"category_scores_gemma":[0.000021101547,0.0003028889,0.00008793279,0.0011794827,0.0003546263,0.00028881803,0.000619063,0.00042731047,0.00016484212],"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":[0.00012990282,0.0031246855,0.0139347045,0.0014376617,0.0023065808,0.0000177357,0.04044922,0.02409282,0.08585507,0.57445216,0.11747706,0.13672243],"study_design_scores_gemma":[0.00055702066,0.000020664702,0.0051196124,0.00007734323,0.00005464442,0.000009039048,0.0010248417,0.9642026,0.00022849468,0.00058482046,0.027687019,0.00043388963],"about_ca_topic_score_codex":0.000088460896,"about_ca_topic_score_gemma":0.00028100857,"teacher_disagreement_score":0.9401098,"about_ca_system_score_codex":0.00010453779,"about_ca_system_score_gemma":0.000045963396,"threshold_uncertainty_score":0.9999423},"labels":[],"label_agreement":null},{"id":"W4385306744","doi":"10.1007/s11277-023-10641-8","title":"Wireless-Powered Communication Assisted by Two-Way Relay with Interference Alignment Underlaying Cognitive Radio Network","year":2023,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Relay; Cognitive radio; Computer science; MIMO; Power control; Interference (communication); Benchmark (surveying); Beamforming; Computer network; Secondary source; Wireless; Precoding; Decoding methods; Electronic engineering; Topology (electrical circuits); Algorithm; Power (physics); Telecommunications; Engineering; Channel (broadcasting); Electrical engineering","score_opus":0.03024753445276465,"score_gpt":0.26227090443249124,"score_spread":0.23202336997972658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385306744","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":[0.9255329,0.008308227,0.032939814,0.0020603107,0.00048124796,0.0011467508,0.00025367553,0.0053753033,0.023901768],"genre_scores_gemma":[0.989803,0.0042675086,0.0026874915,0.000140043,0.00008606248,0.00052335253,0.0017588743,0.00019127836,0.0005424014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970885,0.0005238998,0.00063622213,0.00046937066,0.00047278422,0.00080924714],"domain_scores_gemma":[0.99570876,0.0016771015,0.00022759059,0.0019138068,0.0002329669,0.00023979484],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006384277,0.00051247166,0.00050834124,0.00017165129,0.0010513129,0.00020956843,0.0017374795,0.00022631156,0.000044196408],"category_scores_gemma":[0.000042368334,0.0005413529,0.00012153428,0.0015219926,0.00062774605,0.00035953405,0.0005596199,0.0011708451,0.00011735339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061065255,0.0015463772,0.032365795,0.0006861094,0.0054774517,0.000102616264,0.030494705,0.5338536,0.0268318,0.05231239,0.111398526,0.20432],"study_design_scores_gemma":[0.0021532779,0.00014315911,0.0073109386,0.0026763699,0.00021918467,0.00006784549,0.0033181636,0.9769015,0.0006017685,0.0002285138,0.0049324366,0.0014468762],"about_ca_topic_score_codex":0.00019938881,"about_ca_topic_score_gemma":0.000935493,"teacher_disagreement_score":0.44304788,"about_ca_system_score_codex":0.00038835645,"about_ca_system_score_gemma":0.00008123726,"threshold_uncertainty_score":0.9997038},"labels":[],"label_agreement":null},{"id":"W4386600139","doi":"10.1007/s11277-023-10615-w","title":"Energy Efficient Multi-Way Massive Mimo AF Relaying with Imperfect CSI and Optimal Power Allocation","year":2023,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","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 Alberta","funders":"","keywords":"Computer science; Relay; MIMO; Channel state information; Transmitter power output; Maximal-ratio combining; Efficient energy use; Transmission (telecommunications); Channel (broadcasting); Mathematical optimization; Power (physics); Topology (electrical circuits); Telecommunications; Wireless; Fading; Mathematics; Electrical engineering; Transmitter; Physics","score_opus":0.03905770220564649,"score_gpt":0.2825661492631398,"score_spread":0.24350844705749328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386600139","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":[0.46316418,0.004454819,0.5043221,0.02249228,0.00018341486,0.00056933035,0.000019224737,0.0011060584,0.003688549],"genre_scores_gemma":[0.9773022,0.0025295757,0.019182526,0.0003118331,0.000015389194,0.00015750887,0.000056309877,0.000024837864,0.0004198462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830884,0.0003837522,0.00027043314,0.00041808712,0.00028133695,0.0003375314],"domain_scores_gemma":[0.9971375,0.0004952073,0.00014036459,0.0017836845,0.00029771987,0.000145528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044914344,0.00022190495,0.00020796958,0.000230239,0.0012520404,0.0002452168,0.0017367399,0.00007776453,0.000012811582],"category_scores_gemma":[0.000037300615,0.00020326847,0.0000630261,0.0011972894,0.00029336076,0.00029677185,0.0014924457,0.00034651434,0.000038720158],"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":[0.0000875694,0.0009720782,0.0024802804,0.00005010749,0.00039840204,0.000028856817,0.05762751,0.013241944,0.03207854,0.6967615,0.0024224222,0.19385082],"study_design_scores_gemma":[0.0005620764,0.00008068126,0.0050329412,0.00009406816,0.000013268116,0.000020978765,0.0010067581,0.98719496,0.0003486308,0.000020157577,0.005313715,0.00031177734],"about_ca_topic_score_codex":0.00003816242,"about_ca_topic_score_gemma":0.00016558748,"teacher_disagreement_score":0.973953,"about_ca_system_score_codex":0.00009895666,"about_ca_system_score_gemma":0.00011854568,"threshold_uncertainty_score":0.96298087},"labels":[],"label_agreement":null},{"id":"W4401109326","doi":"10.1007/s11277-024-11461-0","title":"The Impact of Diverse Jamming Schemes against LTE-Based Remote Detonation Devices","year":2024,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Jamming; Computer science; Waveform; Detonation; Transmitter; Synchronization (alternating current); Electronic engineering; Real-time computing; Computer network; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.031927857537321976,"score_gpt":0.3193104391427576,"score_spread":0.2873825816054356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401109326","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":[0.95008934,0.021510705,0.013943576,0.0022744185,0.00014442623,0.00059445505,0.0001675613,0.002245055,0.009030469],"genre_scores_gemma":[0.99094635,0.003630091,0.0051221796,0.00002383109,0.000025672289,0.00004507525,0.00012898259,0.00005052865,0.000027268265],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880695,0.00015922052,0.0003902505,0.00014959312,0.00026666574,0.00022733629],"domain_scores_gemma":[0.9971107,0.0009953525,0.00008070482,0.0015419356,0.00020581987,0.000065454726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045724772,0.0002044829,0.0001912051,0.00020237938,0.00048988435,0.00016873798,0.0015494557,0.000108255874,0.000015835689],"category_scores_gemma":[0.000053098618,0.00016979048,0.0002420913,0.00060022646,0.0003479553,0.00028703417,0.0002569099,0.00052034494,0.0000228372],"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":[0.000042273135,0.00023215853,0.0021370922,0.0005597355,0.00095929875,0.0000047456824,0.009753165,0.0067750206,0.05345171,0.03632783,0.0041043735,0.8856526],"study_design_scores_gemma":[0.000114783266,0.000025997211,0.0012999148,0.00034151808,0.000027258438,0.0000024379235,0.0006384575,0.9781168,0.0035874115,0.00026500583,0.0153585505,0.00022183439],"about_ca_topic_score_codex":0.00021986637,"about_ca_topic_score_gemma":0.00030802732,"teacher_disagreement_score":0.9713418,"about_ca_system_score_codex":0.0002837058,"about_ca_system_score_gemma":0.00014784402,"threshold_uncertainty_score":0.69238544},"labels":[],"label_agreement":null},{"id":"W4401576848","doi":"10.1007/s11277-024-11524-2","title":"Enhanced Indoor Path Loss and RSRP of 5G mmWave Communication System with Multi-objective Genetic Algorithm","year":2024,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":10,"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":"Telekom Malaysia Berhad; Ministry of Higher Education, Malaysia","keywords":"Computer science; Path (computing); Path loss; Genetic algorithm; Computer network; Algorithm; Telecommunications; Real-time computing; Wireless; Machine learning","score_opus":0.01848177281703006,"score_gpt":0.24000247375589828,"score_spread":0.22152070093886822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401576848","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":[0.2138767,0.01024829,0.77386355,0.00008841355,0.000049849717,0.00036180762,0.000105725565,0.0003203084,0.0010853827],"genre_scores_gemma":[0.94615686,0.0020825388,0.051447548,0.000012083982,0.000015220308,0.00012973136,0.00007032369,0.00004586049,0.00003986266],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990796,0.000118956115,0.000304107,0.0001797284,0.00016109744,0.00015650953],"domain_scores_gemma":[0.9988049,0.00017017359,0.00005629524,0.00073722063,0.00016156642,0.00006983808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017175777,0.00017292795,0.00021667579,0.00013659237,0.00018898936,0.00005984383,0.0003527128,0.00008028227,0.0000064731216],"category_scores_gemma":[0.0000063851153,0.00016287572,0.000050205577,0.00025430258,0.00020151163,0.00013397234,0.00010415266,0.00032971718,0.000012451089],"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":[0.000103461134,0.0006486392,0.0007755764,0.005318549,0.0023001644,0.000027811137,0.1285886,0.013722981,0.21247756,0.011508539,0.0001225931,0.6244055],"study_design_scores_gemma":[0.00033388776,0.000037837086,0.0006775059,0.0006548525,0.000056813544,0.000035909776,0.0026273928,0.9859341,0.009336949,0.000022050395,0.00007782555,0.00020491674],"about_ca_topic_score_codex":0.00009452308,"about_ca_topic_score_gemma":0.00008999606,"teacher_disagreement_score":0.97221106,"about_ca_system_score_codex":0.00011226347,"about_ca_system_score_gemma":0.00005123821,"threshold_uncertainty_score":0.6641879},"labels":[],"label_agreement":null},{"id":"W4405382349","doi":"10.1007/s11277-024-11672-5","title":"Proof of Eligibility: A Secure, Energy-Efficient Blockchain-Based Mechanism for IoT","year":2024,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Blockchain Technology Applications and Security","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 Ottawa","funders":"","keywords":"Computer science; Scalability; Blockchain; Distributed computing; Computer security; Single point of failure; Block (permutation group theory); Vulnerability (computing); Computer network; Database","score_opus":0.02337294011477143,"score_gpt":0.28954534610384974,"score_spread":0.2661724059890783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405382349","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":[0.046608455,0.0018417299,0.932393,0.017549748,0.00008700098,0.00053069304,0.000116936346,0.00049843884,0.0003740005],"genre_scores_gemma":[0.9445042,0.000017014321,0.054244228,0.00026941227,0.000018004552,0.0008540435,0.00001998998,0.0000173656,0.000055754364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986022,0.00008527081,0.00036342198,0.00045876548,0.00023174795,0.00025855395],"domain_scores_gemma":[0.9967978,0.0005242733,0.000103051585,0.0021664547,0.00033841544,0.00007001067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047378652,0.00017130743,0.00023011371,0.00024885213,0.00037246195,0.000060233877,0.0023102518,0.00016944481,0.0000052408964],"category_scores_gemma":[0.000036674453,0.0001687114,0.00019182912,0.0008539389,0.000305903,0.000017033139,0.00044393126,0.00026916456,0.0000032487408],"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":[0.0000034802526,0.00031676696,0.000003872257,0.00006801399,0.00003308385,4.5641914e-7,0.0006853407,0.0001573972,0.0014090149,0.97969437,0.00013439912,0.017493779],"study_design_scores_gemma":[0.00015943601,0.000066008426,0.0000052792343,0.00006168173,0.000020105763,0.0000054894144,0.000081614766,0.8831131,0.015010652,0.09725295,0.004069801,0.00015392517],"about_ca_topic_score_codex":0.000070767295,"about_ca_topic_score_gemma":0.00011994851,"teacher_disagreement_score":0.89789575,"about_ca_system_score_codex":0.00007768652,"about_ca_system_score_gemma":0.0003851474,"threshold_uncertainty_score":0.6879851},"labels":[],"label_agreement":null},{"id":"W938386638","doi":"10.1007/s11277-015-2852-x","title":"Resource Allocation in Hospital Networks Based on Green Cognitive Radios","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cognitive radio; Wireless; Resource allocation; Linearization; Mathematical optimization; Transmitter power output; Throughput; Interference (communication); Computer network; Telecommunications; Transmitter","score_opus":0.030475014421717454,"score_gpt":0.26412673414103804,"score_spread":0.23365171971932058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W938386638","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":[0.111974575,0.0013897814,0.79227805,0.063626096,0.00027840183,0.0010814941,0.000018645702,0.00045761865,0.028895358],"genre_scores_gemma":[0.995743,0.000038878457,0.00262744,0.0012926783,0.000100358164,0.000040535866,0.00007904446,0.000018302342,0.000059783983],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831736,0.00040936636,0.00024996762,0.0003657117,0.00033429542,0.00032332566],"domain_scores_gemma":[0.99792594,0.0006839434,0.00011308599,0.0009077101,0.0001993389,0.0001700142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005124066,0.00018160368,0.00019953323,0.00019007265,0.00025194747,0.00013011285,0.0010835471,0.00009282529,0.0000030757665],"category_scores_gemma":[0.00006361902,0.00019534574,0.00007580182,0.00078649336,0.00017558773,0.0002598538,0.000268496,0.00050349126,0.000021106725],"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":[0.00035837785,0.0040849857,0.012951313,0.000027223257,0.00016294164,0.00013757232,0.030465817,0.022240132,0.0000668903,0.13178848,0.006370517,0.7913458],"study_design_scores_gemma":[0.0008789543,0.00019065152,0.005267032,0.00015430985,0.000008432573,0.000006935359,0.00047967373,0.9909495,0.000010919568,0.00025572247,0.0015503097,0.00024756955],"about_ca_topic_score_codex":0.000281891,"about_ca_topic_score_gemma":0.00040173734,"teacher_disagreement_score":0.96870935,"about_ca_system_score_codex":0.0002118741,"about_ca_system_score_gemma":0.00016338943,"threshold_uncertainty_score":0.79659677},"labels":[],"label_agreement":null}]}